2024-03-29T08:31:55Zhttps://www.research.unipd.it/oai/requestoai:www.research.unipd.it:11577/34943402024-03-21T01:13:02Zcom_11577_3160576com_11577_3160572col_11577_3160551
Textiles burning: Understanding charred textiles from cremation graves through experimental charring
Karina Grömer
Margarita Gleba
Sophie Van Horne
S. Lipkin, K. Vajanto, E. Ruhl
Grömer, Karina
Gleba, Margarita
Van Horne, Sophie
experimental archaeology, charring, textiles, controlled burning tests, SEM
Traditionally, textile remains found in cremation graves are interpreted as subsequent wrapping, even if they are associated with burnt and deformed metal objects. Although this may often be the case, we want to postulate another possibility based on the results of experimental charring of textiles. Cremation experiments were carried out in an interdisciplinary cooperation between anthropologists, forensic scientists, and archaeologists in 2012, 2018, and 2019 in Asparn an der Zaya, Austria. A detailed documentation of the textiles before and after experimental cremation, as well as the burning conditions, permitted us to investigate the changes that the textiles underwent during the process. The textiles were analysed using Scanning Electron Microscopy (SEM). The results were compared with the data obtained from detailed textile charring tests carried out under controlled laboratory conditions at the University of Cambridge in 2018, which investigated the shrinkage of fibres, threads, and cloth in flax and wool textiles with respect to differences in temperature and exposure time.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3494340
http://www.sarks.fi/masf/masf_12/MASF12_26_GroÌ mer_et_al.pdf
eng
ispartofbook:Interdisciplinary Approaches to Textile Research: Northern and Central European Textile Production and Use of Textiles and Clothing from the Neolithic to the Modern Period. The Proceedings of NESAT XIV. The North European Symposium for Archaeological Textiles, 23rd–26th August 2021
North European Symposium for Archaeological Textiles: Interdisciplinary Approaches to Textile Research: Northern and Central European Textile Production and Use of Textiles and Clothing from the Neolithic to the Modern Period
firstpage:309
lastpage:322
numberofpages:14
serie:MONOGRAPHS OF THE ARCHAEOLOGICAL SOCIETY OF FINLAND
ELETTRONICO
alleditors:S. Lipkin, K. Vajanto, E. Ruhl
oai:www.research.unipd.it:11577/34712842023-03-15T14:57:52Zcom_11577_3160576com_11577_3160572col_11577_3160551
Reinforcement Q-learning for Closed-loop Hypnosis Depth Control in Anesthesia
Calvi, Giulia
Manzoni, Eleonora
Rampazzo, Mirco
Calvi, Giulia
Manzoni, Eleonora
Rampazzo, Mirco
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3471284
10.1109/MED54222.2022.9837170
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136274325
info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-0673-4
info:eu-repo/semantics/altIdentifier/wos/WOS:000854013700028
eng
ispartofbook:Proceedings of 2022 30th Mediterranean Conference on Control and Automation (MED)
2022 30th Mediterranean Conference on Control and Automation (MED)
firstpage:164
lastpage:169
numberofpages:6
ELETTRONICO
oai:www.research.unipd.it:11577/35001412024-01-07T03:19:53Zcom_11577_3160576com_11577_3160572col_11577_3160551
ANALYSIS OF DRAG SOURCES IN A FULLY SUBMERGED WATERJET
Avanzi, FILIPPO
De Vanna, FRANCESCO
Benini, ERNESTO
Ruaro, FABIO
Gobbo, WILLIAM
Avanzi, Filippo
De Vanna, Francesco
Benini, Ernesto
Ruaro, Fabio
Gobbo, William
Podded Waterjet, Nacelle Optimisation, Ram Intake, Electric Propulsion, Outboard Device
A parametric study is conducted to optimise the drag performance of a novel concept of ram inlet waterjet. The latter being an outboard device housing the whole propulsion system. The study follows the guidelines from aero-engines literature which account for the pre-entry streamtube drag in the computation of external hydrodynamic resistance. Flow field data are obtained by solving Reynolds-Averaged Navier-Stokes equations, withk−ω SST turbulence model, on a 2D axisymmetric domain. Reynolds number, based on propulsor’s highlight diameter and free stream velocity, is varied between 1.6·106 and 2.7·106. For each far-field condition, 9 different mass flow rate values are imposed on the internal boundaries corresponding to the pump sections and resulting in an overall range of the machine flow coefficient of 0.32. Comparing performance among three geometries shows that walls’ negative gradients drastically affect the drag coefficient in the whole operating envelope. In particular, reduced cross-sectional dimensions and longer shapes favour smoother external outlines. These prove to reduce the system’s resistance, despite the augmented axial length. Contextually, the analysis of the capture streamtube through the mass flow capture ratio shows that this parameter is less effective in enhancing performance, especially when the internal geometry is kept unchanged.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3500141
10.2218/marine2021.6824
eng
eng
ispartofbook:The 9th Conference on Computational Methods in Marine Engineering (Marine 2021)
The 9th Conference on Computational Methods in Marine Engineering (Marine 2021)
volume:1
numberofpages:9
ELETTRONICO
oai:www.research.unipd.it:11577/34681692024-02-15T00:39:04Zcom_11577_3160576com_11577_3160572col_11577_3160551
Studying the exotic decay 70Kr → 70Br
Vitez-Sveiczer A.
Algora A.
Morales A. I.
Rubio B.
Kiss G. G.
de Angelis G.
Recchia F.
Nishimura S.
Agramunt J.
Guadilla V.
Montaner-Piza A.
Orrigo S. E. A.
Horvath A.
Napoli D.
Lenzi S.
Boso A.
Phong V. H.
Wu J.
Soderstrom P. -A.
Sumikama T.
Suzuki H.
Takeda H.
Ahn D. S.
Baba H.
Doornenbal P.
Fukuda N.
Inabe N.
Isobe T.
Kubo T.
Kubono S.
Sakurai H.
Shimizu Y.
Chen S.
Blank B.
Ascher P.
Gerbaux M.
Goigoux T.
Giovinazzo J.
Grevy S.
Kurtukian Nieto T.
Magron C.
Gelletly W.
Dombradi Z.
Fujita Y.
Tanaka M.
Aguilera P.
Molina F.
Eberth J.
Diel F.
Lubos D.
Borcea C.
Ganioglu E.
Nishimura D.
Oikawa H.
Takei Y.
Yagi S.
Korten W.
De France G.
Davies P.
Liu J.
Lee J.
Lokotko T.
Kojouharov I.
Kurz N.
Shaffner H.
Vitez-Sveiczer, A.
Algora, A.
Morales, A. I.
Rubio, B.
Kiss, G. G.
de Angelis, G.
Recchia, F.
Nishimura, S.
Agramunt, J.
Guadilla, V.
Montaner-Piza, A.
Orrigo, S. E. A.
Horvath, A.
Napoli, D.
Lenzi, S.
Boso, A.
Phong, V. H.
Wu, J.
Soderstrom, P. -A.
Sumikama, T.
Suzuki, H.
Takeda, H.
Ahn, D. S.
Baba, H.
Doornenbal, P.
Fukuda, N.
Inabe, N.
Isobe, T.
Kubo, T.
Kubono, S.
Sakurai, H.
Shimizu, Y.
Chen, S.
Blank, B.
Ascher, P.
Gerbaux, M.
Goigoux, T.
Giovinazzo, J.
Grevy, S.
Kurtukian Nieto, T.
Magron, C.
Gelletly, W.
Dombradi, Z.
Fujita, Y.
Tanaka, M.
Aguilera, P.
Molina, F.
Eberth, J.
Diel, F.
Lubos, D.
Borcea, C.
Ganioglu, E.
Nishimura, D.
Oikawa, H.
Takei, Y.
Yagi, S.
Korten, W.
De France, G.
Davies, P.
Liu, J.
Lee, J.
Lokotko, T.
Kojouharov, I.
Kurz, N.
Shaffner, H.
2020
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3468169
10.5506/APhysPolB.51.587
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85085473494
info:eu-repo/semantics/altIdentifier/wos/WOS:000521823800006
eng
ispartofbook:XXXVI Mazurian Lakes Conference on Physics Probing Fundamental Laws of Nature with Exotic Nuclei and Atoms
XXXVI Mazurian Lakes Conference on Physics Probing Fundamental Laws of Nature with Exotic Nuclei and Atoms
volume:51
firstpage:587
lastpage:594
numberofpages:8
journal:ACTA PHYSICA POLONICA B
info:eu-repo/semantics/openAccess
oai:www.research.unipd.it:11577/34988942023-12-27T00:22:04Zcom_11577_3160576com_11577_3160572col_11577_3160551
Pauci sed boni: An item response theory approach for shortening tests
EPIFANIA Ottavia Marina
ANSELMI P.
ROBUSTO E
M. WIBERG, D. MOLENAAR, J. GONZÁLEZ, J.-S. KIM, H. HWANG
Epifania, MARINA OTTAVIA
Anselmi, P.
Robusto, E
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3498894
eng
ispartofbook:Quantitative Psychology. The 87th annual meeting of the psychometric society, Bologna, Italy, 2022
IMPS 2022
firstpage:75
lastpage:83
numberofpages:9
alleditors:M. WIBERG, D. MOLENAAR, J. GONZÁLEZ, J.-S. KIM, H. HWANG
oai:www.research.unipd.it:11577/34714602024-03-22T06:02:52Zcom_11577_3160576com_11577_3160572col_11577_3160551
Multi-physics numerical modelling of 316L Austenitic stainless steel in laser powder bed fusion process at meso-scale
W. E. Alphonso
M. Bayat
M. Baier
S. Carmignato
J. H. Hattel
Alphonso, W. E.
Bayat, M.
Baier, M.
Carmignato, S.
Hattel, J. H.
Additive manufacturing, Multi-physics, Numerical modelling, 316L Austenitic stainless steel, Laser powder bed fusion
Laser Powder Bed Fusion (L-PBF) is a Metal Additive Manufacturing (MAM) technology where a complex 3D metal part is built from powder layers, which are selectively consolidated using a laser heat source. The processing zone is in the order of a few tenths of micrometer, making L-PBF a multi-scale manufacturing process. The formation and growth of gas pores and the creation of un-melted powder zones can be predicted by multiphysics models. Also, with these models, the melt pool shape and size, temperature distribution, melt pool fluid flow and its microstructural features like grain size and morphology can be calculated. In this work, a high fidelity multi-physics meso-scale numerical model is developed for stainless steel 316-L which includes melting, solidification, fluid flow, surface tension, thermo-capillarity, evaporation and multiple reflection with ray-tracing. A statistical study using a full Design of Experiments (DoE) method was conducted, wherein the impact of uncertain material properties and process parameters namely absorptivity, recoil pressure (vaporization) and laser beam size on the melt pool shape and size was analysed. Furthermore, to emphasize on the significance of the above mentioned uncertain input parameters on the melt pool dynamics, a main effects plot was created which showed that absorptivity had the highest impact followed by laser beam size. The significance of recoil pressure on the melt pool size increases with melt pool volume which is dependent on absorptivity. The prediction accuracy of the model is validated by comparing the melt pool shape and size from the simulation with single track experiments that were produced with similar process parameters. Moreover, the effect of thermal lensing was considered in the numerical model by increasing the laser beam size and later on the resultant melt pool profile was compared with experiments to show the robustness of the model.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3471460
eng
ispartofbook:Proc. of 17th UK Heat Transfer Conference
17th UK Heat Transfer Conference
ELETTRONICO
oai:www.research.unipd.it:11577/34788982024-03-21T01:16:27Zcom_11577_3160576com_11577_3160572col_11577_3160551
Between Italy and Vienna: Antonio Muzzarelli
Stefania Onesti
Irene Brandenburg, Francesca Falcone, Claudia Jeschke & Bruno Ligore
Onesti, Stefania
Antonio Muzzarelli
Pantomime Ballet
Jean-Georges Noverre
Between the end of Eighteenth and the very beginning of Nineteenth century, Antonio Muzzarelli stages most of his “repertoire” titles in Vienna, arousing the admiration of the Austrian public who, in him, sees the rebirth of taste and Noverrian style conjugated – we add – with a more than twenty-year scenic practice in Italy. What then is the choreographic identity of Muzzarelli? What can we recognize as the French influence and what, instead, can we identify as “Italian style”? Through the analysis of his main productions in Italy and in Vienna, the paper aims to investigate this composite identity.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3478898
info:eu-repo/semantics/altIdentifier/isbn/9788864761251
eng
ispartofbook:Times of Change. Artistic Perspectives and Cultural Crossings in Nineteenth-Century Dance
Times of Change. Artistic Perspectives and Cultural Crossings in Nineteenth-Century Dance
firstpage:31
lastpage:42
numberofpages:12
STAMPA
alleditors:Irene Brandenburg, Francesca Falcone, Claudia Jeschke & Bruno Ligore
Piretti
oai:www.research.unipd.it:11577/35066142024-03-12T16:11:00Zcom_11577_3160576com_11577_3160572col_11577_3160551
SEUPD@CLEF: Team HIBALL on Incremental Information Retrieval System with RRF and BERT
Ceccato A.
Fabbian L.
Huang B. -W.
Khan I. U.
Singh H.
Ferro N.
Ceccato, A.
Fabbian, L.
Huang, B. -W.
Khan, I. U.
Singh, H.
Ferro, N.
CLEF 2023
Information Retrieval
Short-term persistence
This report showcases the work of the HIBALL team from the University of Padua on Task 1 LongEval-Retrieval of CLEF 2023 [1] [2]. Our goal was to create a general-purpose information retrieval system, using the CLEF document corpus and judgments as our reference. We explored various approaches, including algorithmic techniques and machine learning methods, and compared their results. Our best-performing system, a fusion between classical and AI techniques, shows promising outcomes and may serve as a foundation for future developments.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3506614
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85175648022
eng
eng
ispartofbook:CEUR Workshop Proceedings
24th Working Notes of the Conference and Labs of the Evaluation Forum, CLEF-WN 2023
volume:3497
firstpage:2396
lastpage:2415
numberofpages:20
serie:CEUR WORKSHOP PROCEEDINGS
CEUR-WS
oai:www.research.unipd.it:11577/35035172024-03-21T01:18:35Zcom_11577_3160576com_11577_3160572col_11577_3160551
Adversarial Learning for Advantage Distillation in Secret Key Agreement Over UWAC
Ardizzon, Francesco
Giuliani, Amedeo
Laurenti, Nicola
Tomasin, Stefano
Ardizzon, Francesco
Giuliani, Amedeo
Laurenti, Nicola
Tomasin, Stefano
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503517
10.1109/ICCWorkshops57953.2023.10283582
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85177847549
info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-3307-7
eng
ispartofbook:IEEE International conference on communications workshops
IEEE International conference on communications workshops
lastpage:720
oai:www.research.unipd.it:11577/35047172024-03-23T04:56:48Zcom_11577_3160576com_11577_3160572col_11577_3160551
Mechanical characterization of hybrid membrane suitable for biomedical application
Gemelli R.
Todesco M.
Carniel E. L.
Gerosa G.
Bagno A.
Gemelli, R.
Todesco, M.
Carniel, E. L.
Gerosa, G.
Bagno, A.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3504717
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85175830304
eng
ispartofbook:Proceedings VIII National Congress of Bioengineering
VIII Congress of Bioengineering
oai:www.research.unipd.it:11577/34539592023-12-26T00:31:06Zcom_11577_3160576com_11577_3160572col_11577_3160551
Dependence statements are strict conditionals
Ciardelli I
Guram Bezhanishvili, Giovanna D'Agostino, George Metcalfe, Thomas Studer
Ciardelli, I
Dependency
Strict conditional
Inquisitive modal logic
In this paper I discuss dependence statements like “whether p determines whether q”. I propose to analyze such statements as involving a generalized strict conditional operator applied to two questions—a determining question and a determined one. The dependence statement is true or false at a world w according to whether, relative to the set of successors of w, every answer to the former yields an answer to the latter. This motivates an investigation of strict conditionals in the context of inquisitive logic. A sound and complete axiomatization of the resulting logic is established, both for the class of all Kripke frames, and for various notable frame classes.
2018
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3453959
info:eu-repo/semantics/altIdentifier/isbn/978-1-84890-255-8
http://www.aiml.net/volumes/volume12/
eng
ispartofbook:Advances in Modal Logic XII
Advances in Modal Logic
volume:12
firstpage:123
lastpage:142
numberofpages:20
alleditors:Guram Bezhanishvili, Giovanna D'Agostino, George Metcalfe, Thomas Studer
College Publications
oai:www.research.unipd.it:11577/34898802024-02-02T01:16:39Zcom_11577_3160576com_11577_3160572col_11577_3160551
Deep-learning based industrial quality control on low-cost smart cameras
Toigo, Stefano
Cenedese, Angelo
Fornasier, Daniele
Kasi, Brendon
Orteu, Jean-José
Toigo, Stefano
Cenedese, Angelo
Fornasier, Daniele
Kasi, Brendon
This paper aims to describe a combined machine vision and deep learning method for quality control in an industrial environment. The innovative approach used for the proposed solution leverages the use of low-cost hardware of reduced size, and yields extremely high evaluation accuracy and limited computational time. As a result, the developed system works entirely on a portable smart camera. It does not require additional sensors, such as photocells, nor is it based on external computation.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3489880
10.1117/12.2690728
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85170823036
info:eu-repo/semantics/altIdentifier/isbn/9781510667464
info:eu-repo/semantics/altIdentifier/isbn/9781510667471
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12749/127490G/Deep-learning-based-industrial-quality-control-on-low-cost-smart/10.1117/12.2690728.short
eng
ispartofbook:Proc. SPIE 12749, Sixteenth International Conference on Quality Control by Artificial Vision
Sixteenth International Conference on Quality Control by Artificial Vision (QCAV2023)
firstpage:15
alleditors:Orteu, Jean-José
oai:www.research.unipd.it:11577/34668082023-01-29T22:00:01Zcom_11577_3160576com_11577_3160572col_11577_3160551
Recuperi e reinvenzioni del Medioevo nell'Ottocento: Napoleone Verga fra l'Italia e l'Europa
Agata Gazzillo
Gazzillo, Agata
In Press
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3466808
ita
ispartofbook:Medioevo europeo e mediterraneo: scambi, circolazione e mobilità artistica
Medioevo europeo e mediterraneo: scambi, circolazione e mobilità artistica
oai:www.research.unipd.it:11577/34624742024-01-09T01:50:21Zcom_11577_3160576com_11577_3160572col_11577_3160551
The GERDA Experiment in the Search for Neutrinoless Double-Beta Decay
Biancacci, V
Collaboration, G
Biancacci, V
Collaboration, G
An open question still involves the nature of neutrinos: are they equal to their anti-matter counterpart? The most promising way to test this Majorana nature of neutrinos is searching for the neutrinoless double beta decay (0 nu beta beta), a hypothetical lepton number violating nuclear process. Furthermore, its observation would give an extraordinary insight into why our universe is predominantly composed of matter, which is another unsolved puzzle of cosmology and particle physics. Since 2011, the Gerda collaboration has searched for 0 nu beta beta of Ge-76 by operating bare germanium detectors, enriched in the double-beta decaying isotope Ge-76, in liquid argon. Exploiting the combination of excellent energy resolution of germanium detectors and scintillating properties of argon, the Gerda experiment succeeded to achieve an unprecedented background-free regime. In December 2019, after fulfilling and exceeding the design goals of the experiment, data taking was stopped. No signal has been observed, hence a lower limit on the half-life of 0 nu beta beta in Ge-76 has been set at T-1/2(0 nu) > 1.8 x 10(26) years at 90% C.L. The final results of the 12 Gerda experiment are discussed.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3462474
10.3103/S0027134922020151
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85138317793
info:eu-repo/semantics/altIdentifier/wos/WOS:000852444400075
eng
ispartofbook:Moscow University Physics Bullettin
Lomonosov2021
volume:77
firstpage:359
lastpage:362
numberofpages:4
journal:MOSCOW UNIVERSITY PHYSICS BULLETIN
info:eu-repo/semantics/closedAccess
PLEIADES PUBLISHING INC
oai:www.research.unipd.it:11577/34670252024-01-30T01:18:57Zcom_11577_3160576com_11577_3160572col_11577_3160551
Vibrational analysis of a flexible bicycle stem during indoor in-vivo cycling on a two rollers servohydraulic test bench
Mattia Scapinello
Enrico Girlanda
Nicola Petrone
ISEA
Scapinello, Mattia
Girlanda, Enrico
Petrone, Nicola
vibrational analysis, bicycle stem, roller test bench, comfort
Introduction. Comfort is an important parameter correlated to bicycle usability and depends deeply on vibrations and human perception. The most of vibrations is generated by the interaction between road and wheels and sensed at hands and seat [1][2]. Different approaches were used to evaluate the in-vivo behaviour of different bycicle postures and components, including vibrational excitation applied to the wheels [2],[3]. The present work presents results obtained from a full scale roller bench test [3] on a flexible stem supposed to improve the riding comfort.
External vibrations were applied to both wheels using a two rollers servohydraulic test bench [3] with a random load function generator corresponding to road types defined by the ISO 8608: 2016.
Methods. A specific flexible stem (Shockstop produced by Redshift), designed to reduce accelerations transmitted to the hands by selectable elastomeric shock-absorbing inserts (SOFT, MEDIUM, HARD), was compared to a standard rigid stem (Deda zero 100 Alluminum). Three road profiles (A= Airport runways and super highways; B= Normal pavements; C= Unpaved and damaged roads, ISO 8608: 2016) were applied to the cyclist in two postures (Posture1-Hands on upper handlebar brakes, Posture2-Hands on handlebar drops).
Results. Table 1 reports the Comfort index and Transmission index percent variations respect to the RIGID stem (Red cells represent lower performance). As it can be seen, based on CI the Flexible stems seems to improve comfort in both postures and stem hardness with lower roas harshness, but gives not favourable results in Posture 1 with road C. The transmission index TI seems to give opposite results than the CI in Posture 1, whereas shows better agreement in posture 2.
Conclusions. The study shows the suitability of the roller test bench for the stationary analysis of comfort related component in bicycle. The significance of the two parameters CI and TI deserve comparison with a larger number of subjects and their subjective evaluation.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3467025
https://docs.lib.purdue.edu/resec-isea/?_ga=2.53041512.1351753545.1675187544-1405491168.1644504618
eng
ispartofbook:ISEA 2022 – The Engineering of Sport 14, Purdue University, 6-10 June 2022
ISEA 2022 – The Engineering of Sport 14, Purdue University, 6-10 June 2022
numberofpages:2
ELETTRONICO
alleditors:ISEA
oai:www.research.unipd.it:11577/35077862024-02-16T08:51:41Zcom_11577_3160576com_11577_3160572col_11577_3160551
Candidate neutrino-emitting blazars sharing physical properties with TXS 0506+056
Viale, Ilaria
Righi, Chiara
Principe, Giacomo
Cerruti, Matteo
Tavecchio, Fabrizio
Bernardini, Elisa
Viale, Ilaria
Righi, Chiara
Principe, Giacomo
Cerruti, Matteo
Tavecchio, Fabrizio
Bernardini, Elisa
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3507786
10.22323/1.444.1526
eng
ispartofbook:Proceedings of Science
38th International Cosmic Ray Conference (ICRC2023)
ELETTRONICO
oai:www.research.unipd.it:11577/34915612023-12-23T05:12:42Zcom_11577_3160576com_11577_3160572col_11577_3160551
Forest Subsidy distribution in the EU and China: A Comparative Analysis of Key Drivers
Xinran Shen
Jiayun Dong
Paola Gatto
Francesco Pagliacci
Shen, Xinran
Dong, Jiayun
Gatto, Paola
Pagliacci, Francesco
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3491561
eng
ita
ispartofbook:The 12th AIEAA Conference on "Guns, Germs and Climate: Food Security and Food Systems in a Risky World"
The 12th AIEAA Conference on "Guns, Germs and Climate: Food Security and Food Systems in a Risky World"
oai:www.research.unipd.it:11577/35086342024-03-12T16:11:03Zcom_11577_3160576com_11577_3160572col_11577_3160551
Analyses of contingencies impact and key benefits in a HVAC-to-HVDC OHL conversion study case
Vitulano, Lorenzo Carmine
L’Abbate, Angelo
Calisti, Roberto
Sessa, Sebastian Dambone
Vitulano, Lorenzo Carmine
L’Abbate, Angelo
Calisti, Roberto
Sessa, Sebastian Dambone
The present paper gives account of different static and dynamic network analyses and includes economic elements in terms of key benefits regarding the potential conversion of a transmission line from HVAC (High Voltage Alternating Current) to HVDC (High Voltage Direct Current). Focus of the studies is specifically on the power system and network of Sicily in a 2030 scenario. The work has been part of the activities carried out in the framework of the collaboration between RSE and the University of Padova.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3508634
10.23919/aeit60520.2023.10330360
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85180412202
eng
eng
ispartofbook:Proceedings of 115th AEIT International Annual Conference, AEIT 2023
2023 115th AEIT International Annual Conference, AEIT 2023
ELETTRONICO
oai:www.research.unipd.it:11577/34636222024-03-10T07:54:00Zcom_11577_3160576com_11577_3160572col_11577_3160551
New step forward in the understanding of Fluorescent Light Emission (FLE) effect on wound healing
Facchin F
Scarpa C
Vindigni V
Zavan B
Bassetto F
Facchin, F
Scarpa, C
Vindigni, V
Zavan, B
Bassetto, F
2021
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3463622
eng
ispartofbook:EURAPS Research Council
EURAPS Research Council
oai:www.research.unipd.it:11577/35039482024-01-19T00:05:36Zcom_11577_3160576com_11577_3160572col_11577_3160551
Update on the Combined Analysis of Muon Measurements from Nine Air Shower Experiments
Soldin D.
Fomin Yu. A.
Kalmykov N. N.
Karpikov I. S.
Kulikov G. V.
Kuznetsov M. Yu.
Rubtsov G. I.
Sulakov V. P.
Troitsky S. V.
Abbasi R.
Ackermann M.
Adams J.
Aguilar J. A.
Ahlers M.
Ahrens M.
Alispach C.
Alves A. A.
Amin N. M.
An R.
Andeen K.
Anderson T.
Anton G.
Arguelles C.
Ashida Y.
Axani S.
Bai X.
Balagopal A. V.
Barbano A.
Barwick S. W.
Bastian B.
Basu V.
Baur S.
Bay R.
Beatty J. J.
Becker K. -H.
Becker Tjus J.
Bellenghi C.
BenZvi S.
Berley D.
Bernardini E.
Besson D. Z.
Binder G.
Bindig D.
Blaufuss E.
Blot S.
Boddenberg M.
Bontempo F.
Borowka J.
Boser S.
Botner O.
Bottcher J.
Bourbeau E.
Bradascio F.
Braun J.
Bron S.
Brostean-Kaiser J.
Browne S.
Burgman A.
Burley R. T.
Busse R. S.
Campana M. A.
Carnie-Bronca E. G.
Chen C.
Chirkin D.
Choi K.
Clark B. A.
Clark K.
Classen L.
Coleman A.
Collin G. H.
Conrad J. M.
Coppin P.
Correa P.
Cowen D. F.
Cross R.
Dappen C.
Dave P.
De Clercq C.
DeLaunay J. J.
Dembinski H.
Deoskar K.
De Ridder S.
Desai A.
Desiati P.
de Vries K. D.
de Wasseige G.
de With M.
DeYoung T.
Dharani S.
Diaz A.
Diaz-Velez J. C.
Dittmer M.
Dujmovic H.
Dunkman M.
DuVernois M. A.
Dvorak E.
Ehrhardt T.
Eller P.
Engel R.
Erpenbeck H.
Evans J.
Evenson P. A.
Fan K. L.
Fazely A. R.
Fiedlschuster S.
Fienberg A. T.
Filimonov K.
Finley C.
Fischer L.
Fox D.
Franckowiak A.
Friedman E.
Fritz A.
Furst P.
Gaisser T. K.
Gallagher J.
Ganster E.
Garcia A.
Garrappa S.
Gerhardt L.
Ghadimi A.
Glaser C.
Glauch T.
Glusenkamp T.
Goldschmidt A.
Gonzalez J. G.
Goswami S.
Grant D.
Gregoire T.
Griswold S.
Gunduz M.
Gunther C.
Haack C.
Hallgren A.
Halliday R.
Halve L.
Halzen F.
Ha Minh M.
Hanson K.
Hardin J.
Harnisch A. A.
Haungs A.
Hauser S.
Hebecker D.
Helbing K.
Henningsen F.
Hettinger E. C.
Hickford S.
Hignight J.
Hill C.
Hill G. C.
Hoffman K. D.
Hoffmann R.
Hoinka T.
Hokanson-Fasig B.
Hoshina K.
Huang F.
Huber M.
Huber T.
Hultqvist K.
Hunnefeld M.
Hussain R.
In S.
Iovine N.
Ishihara A.
Jansson M.
Japaridze G. S.
Jeong M.
Jones B. J. P.
Kang D.
Kang W.
Kang X.
Kappes A.
Kappesser D.
Karg T.
Karl M.
Karle A.
Katz U.
Kauer M.
Kellermann M.
Kelley J. L.
Kheirandish A.
Kin K.
Kintscher T.
Kiryluk J.
Klein S. R.
Koirala R.
Kolanoski H.
Kontrimas T.
Kopke L.
Kopper C.
Kopper S.
Koskinen D. J.
Koundal P.
Kovacevich M.
Kowalski M.
Kozynets T.
Kun E.
Kurahashi N.
Lad N.
Lagunas Gualda C.
Lanfranchi J. L.
Larson M. J.
Lauber F.
Lazar J. P.
Lee J. W.
Leonard K.
Leszczynska A.
Li Y.
Lincetto M.
Liu Q. R.
Liubarska M.
Lohfink E.
Lozano Mariscal C. J.
Lu L.
Lucarelli F.
Ludwig A.
Luszczak W.
Lyu Y.
Ma W. Y.
Madsen J.
Mahn K. B. M.
Makino Y.
Mancina S.
Maris I. C.
Maruyama R.
Mase K.
McElroy T.
McNally F.
Mead J. V.
Meagher K.
Medina A.
Meier M.
Meighen-Berger S.
Micallef J.
Mockler D.
Montaruli T.
Moore R. W.
Morse R.
Moulai M.
Naab R.
Nagai R.
Naumann U.
Necker J.
Nguyen L. V.
Niederhausen H.
Nisa M. U.
Nowicki S. C.
Nygren D. R.
Obertacke Pollmann A.
Oehler M.
Olivas A.
O'Sullivan E.
Pandya H.
Pankova D. V.
Park N.
Parker G. K.
Paudel E. N.
Paul L.
Perez de los Heros C.
Peters L.
Peterson J.
Philippen S.
Pieloth D.
Pieper S.
Pittermann M.
Pizzuto A.
Plum M.
Popovych Y.
Porcelli A.
Prado Rodriguez M.
Price P. B.
Pries B.
Przybylski G. T.
Raab C.
Raissi A.
Rameez M.
Rawlins K.
Rea I. C.
Rehman A.
Reichherzer P.
Reimann R.
Renzi G.
Resconi E.
Reusch S.
Rhode W.
Richman M.
Riedel B.
Roberts E. J.
Robertson S.
Roellinghoff G.
Rongen M.
Rott C.
Ruhe T.
Ryckbosch D.
Rysewyk Cantu D.
Safa I.
Saffer J.
Sanchez Herrera S. E.
Sandrock A.
Sandroos J.
Santander M.
Sarkar S.
Satalecka K.
Scharf M.
Schaufel M.
Schieler H.
Schindler S.
Schlunder P.
Schmidt T.
Schneider A.
Schneider J.
Schroder F. G.
Schumacher L.
Schwefer G.
Sclafani S.
Seckel D.
Seunarine S.
Sharma A.
Shefali S.
Silva M.
Skrzypek B.
Smithers B.
Snihur R.
Soedingrekso J.
Spannfellner C.
Spiczak G. M.
Spiering C.
Stachurska J.
Stamatikos M.
Stanev T.
Stein R.
Stettner J.
Steuer A.
Stezelberger T.
Sturwald T.
Stuttard T.
Sullivan G. W.
Taboada I.
Tenholt F.
Ter-Antonyan S.
Tilav S.
Tischbein F.
Tollefson K.
Tomankova L.
Tonnis C.
Toscano S.
Tosi D.
Trettin A.
Tselengidou M.
Tung C. F.
Turcati A.
Turcotte R.
Turley C. F.
Twagirayezu J. P.
Ty B.
Unland Elorrieta M. A.
Valtonen-Mattila N.
Vandenbroucke J.
van Eijndhoven N.
Vannerom D.
van Santen J.
Verpoest S.
Vraeghe M.
Walck C.
Watson T. B.
Weaver C.
Weigel P.
Weindl A.
Weiss M. J.
Weldert J.
Wendt C.
Werthebach J.
Weyrauch M.
Whitehorn N.
Wiebusch C. H.
Williams D. R.
Wolf M.
Woschnagg K.
Wrede G.
Wulff J.
Xu X. W.
Xu Y.
Yanez J. P.
Yoshida S.
Yu S.
Yuan T.
Zhang Z.
Apel W. D.
Arteaga-Velazquez J. C.
Bekk K.
Bertaina M.
Blumer J.
Bozdog H.
Cantoni E.
Chiavassa A.
Cossavella F.
Daumiller K.
de Souza V.
Di Pierro F.
Doll P.
Fuhrmann D.
Gherghel-Lascu A.
Gils H. J.
Glasstetter R.
Grupen C.
Heck D.
Horandel J. R.
Huege T.
Kampert K. -H.
Klages H. O.
Link K.
Luczak P.
Mathes H. J.
Mayer H. J.
Milke J.
Morello C.
Oehlschlager J.
Ostapchenko S.
Pierog T.
Rebel H.
Rivera-Rangel D.
Roth M.
Schoo S.
Sima O.
Toma G.
Trinchero G. C.
Ulrich H.
Wochele J.
Zabierowski J.
Barbashina N. S.
Bogdanov A. G.
Khokhlov S. S.
Kindin V. V.
Kokoulin R. P.
Kompaniets K. G.
Mannocchi G.
Petrukhin A. A.
Shutenko V. V.
Trinchero G.
Yashin I. I.
Yurina E. A.
Zadeba E. A.
Abreu P.
Aglietta M.
Albury J. M.
Allekotte I.
Almela A.
Alvarez-Muniz J.
Alves Batista R.
Anastasi G. A.
Anchordoqui L.
Andrada B.
Andringa S.
Aramo C.
Araujo Ferreira P. R.
Arteaga Velazquez J. C.
Asorey H.
Assis P.
Avila G.
Badescu A. M.
Bakalova A.
Balaceanu A.
Barbato F.
Barreira Luz R. J.
Becker K. H.
Bellido J. A.
Berat C.
Bertaina M. E.
Bertou X.
Biermann P. L.
Binet V.
Bismark K.
Bister T.
Biteau J.
Blazek J.
Bleve C.
Bohacova M.
Boncioli D.
Bonifazi C.
Bonneau Arbeletche L.
Borodai N.
Botti A. M.
Brack J.
Bretz T.
Brichetto Orchera P. G.
Briechle F. L.
Buchholz P.
Bueno A.
Buitink S.
Buscemi M.
Busken M.
Caballero-Mora K. S.
Caccianiga L.
Canfora F.
Caracas I.
Carceller J. M.
Caruso R.
Castellina A.
Catalani F.
Cataldi G.
Cazon L.
Cerda M.
Chinellato J. A.
Chudoba J.
Chytka L.
Clay R. W.
Cobos Cerutti A. C.
Colalillo R.
Coluccia M. R.
Conceicao R.
Condorelli A.
Consolati G.
Contreras F.
Convenga F.
Correia dos Santos D.
Covault C. E.
Dasso S.
Dawson B. R.
Day J. A.
de Almeida R. M.
de Jesus J.
de Jong S. J.
De Mauro G.
de Mello Neto J. R. T.
De Mitri I.
de Oliveira J.
de Oliveira Franco D.
de Palma F.
De Vito E.
del Rio M.
Deligny O.
Deval L.
di Matteo A.
Dobrigkeit C.
D'Olivo J. C.
Domingues Mendes L. M.
dos Anjos R. C.
dos Santos D.
Dova M. T.
Ebr J.
Epicoco I.
Erdmann M.
Escobar C. O.
Etchegoyen A.
Falcke H.
Farmer J.
Farrar G.
Fauth A. C.
Fazzini N.
Feldbusch F.
Fenu F.
Fick B.
Figueira J. M.
Filipcic A.
Fitoussi T.
Fodran T.
Freire M. M.
Fujii T.
Fuster A.
Galea C.
Galelli C.
Garcia B.
Garcia Vegas A. L.
Gemmeke H.
Gesualdi F.
Ghia P. L.
Giaccari U.
Giammarchi M.
Glombitza J.
Gobbi F.
Gollan F.
Golup G.
Gomez Berisso M.
Gomez Vitale P. F.
Gongora J. P.
Gonzalez J. M.
Gonzalez N.
Goos I.
Gora D.
Gorgi A.
Gottowik M.
Grubb T. D.
Guarino F.
Guedes G. P.
Guido E.
Hahn S.
Hamal P.
Hampel M. R.
Hansen P.
Harari D.
Harvey V. M.
Hebbeker T.
Hojvat C.
Horvath P.
Hrabovsky M.
Insolia A.
Isar P. G.
Janecek P.
Johnsen J. A.
Jurysek J.
Kaapa A.
Kampert K. H.
Karastathis N.
Keilhauer B.
Kemp J.
Khakurdikar A.
Kizakke Covilakam V. V.
Kleifges M.
Kleinfeller J.
Kopke M.
Kunka N.
Lago B. L.
Lang R. G.
Langner N.
Leigui de Oliveira M. A.
Lenok V.
Letessier-Selvon A.
Lhenry-Yvon I.
Lo Presti D.
Lopes L.
Lopez R.
Luce Q.
Lundquist J. P.
Machado Payeras A.
Mancarella G.
Mandat D.
Manning B. C.
Manshanden J.
Mantsch P.
Marafico S.
Mariazzi A. G.
Marsella G.
Martello D.
Martinelli S.
Martinez Bravo O.
Mastrodicasa M.
Matthews J.
Matthiae G.
Mayotte E.
Mazur P. O.
Medina-Tanco G.
Melo D.
Menshikov A.
Merenda K. -D.
Michal S.
Micheletti M. I.
Miramonti L.
Mollerach S.
Montanet F.
Mostafa M.
Muller A. L.
Muller M. A.
Mulrey K.
Mussa R.
Muzio M.
Namasaka W. M.
Nasr-Esfahani A.
Nellen L.
Niculescu-Oglinzanu M.
Niechciol M.
Nitz D.
Nosek D.
Novotny V.
Nozka L.
Nucita A.
Nunez L. A.
Palatka M.
Pallotta J.
Papenbreer P.
Parente G.
Parra A.
Pawlowsky J.
Pech M.
Pedreira F.
Pekala J.
Pelayo R.
Pena-Rodriguez J.
Pereira Martins E. E.
Perez Armand J.
Perez Bertolli C.
Perlin M.
Perrone L.
Petrera S.
Pimenta M.
Pirronello V.
Platino M.
Pont B.
Pothast M.
Privitera P.
Prouza M.
Puyleart A.
Querchfeld S.
Rautenberg J.
Ravignani D.
Reininghaus M.
Ridky J.
Riehn F.
Risse M.
Rizi V.
Rodrigues de Carvalho W.
Rodriguez Rojo J.
Roncoroni M. J.
Rossoni S.
Roulet E.
Rovero A. C.
Ruehl P.
Saftoiu A.
Salamida F.
Salazar H.
Salina G.
Sanabria Gomez J. D.
Sanchez F.
Santos E. M.
Santos E.
Sarazin F.
Sarmento R.
Sarmiento-Cano C.
Sato R.
Savina P.
Schafer C. M.
Scherini V.
Schimassek M.
Schimp M.
Schluter F.
Schmidt D.
Scholten O.
Schovanek P.
Schroder S.
Schulte J.
Sciutto S. J.
Scornavacche M.
Segreto A.
Sehgal S.
Shellard R. C.
Sigl G.
Silli G.
Smida R.
Sommers P.
Soriano J. F.
Souchard J.
Squartini R.
Stadelmaier M.
Stanca D.
Stanic S.
Stasielak J.
Stassi P.
Streich A.
Suarez-Duran M.
Sudholz T.
Suomijarvi T.
Supanitsky A. D.
Szadkowski Z.
Tapia A.
Taricco C.
Timmermans C.
Tkachenko O.
Tobiska P.
Todero Peixoto C. J.
Tome B.
Torres Z.
Travaini A.
Travnicek P.
Trimarelli C.
Tueros M.
Ulrich R.
Unger M.
Vaclavek L.
Vacula M.
Valdes Galicia J. F.
Valore L.
Varela E.
Vasquez-Ramirez A.
Veberic D.
Ventura C.
Vergara Quispe I. D.
Verzi V.
Vicha J.
Vink J.
Vorobiov S.
Wahlberg H.
Watanabe C.
Watson A. A.
Weber M.
Wiencke L.
Wilczynski H.
Wirtz M.
Wittkowski D.
Wundheiler B.
Yushkov A.
Zapparrata O.
Zas E.
Zavrtanik D.
Zavrtanik M.
Zehrer L.
Ulrichs J.
Abbasi R. U.
Abe M.
Abu-Zayyad T.
Allen M.
Arai Y.
Barcikowski E.
Belz J. W.
Bergman D. R.
Blake S. A.
Buckland I.
Cady R.
Cheon B. G.
Chiba J.
Chikawa M.
Fujisue K.
Fujita K.
Fujiwara R.
Fukushima M.
Fukushima R.
Furlich G.
Gonzalez R.
Hanlon W.
Hayashi M.
Hayashida N.
Hibino K.
Higuchi R.
Honda K.
Ikeda D.
Inadomi T.
Inoue N.
Ishii T.
Ito H.
Ivanov D.
Iwakura H.
Jeong H. M.
Jeong S.
Jui C. C. H.
Kadota K.
Kakimoto F.
Kalashev O.
Kasahara K.
Kasami S.
Kawai H.
Kawakami S.
Kawana S.
Kawata K.
Kido E.
Kim H. B.
Kim J. H.
Kim M. H.
Kim S. W.
Kimura Y.
Kishigami S.
Kubota Y.
Kurisu S.
Kuzmin V.
Kuznetsov M.
Kwon Y. J.
Lee K. H.
Lubsandorzhiev B.
Machida K.
Matsumiya H.
Matsuyama T.
Matthews J. N.
Mayta R.
Minamino M.
Mukai K.
Myers I.
Nagataki S.
Nakai K.
Nakamura R.
Nakamura T.
Nakamura Y.
Nakazawa A.
Nonaka T.
Oda H.
Ogio S.
Ohnishi M.
Ohoka H.
Oku Y.
Okuda T.
Omura Y.
Ono M.
Onogi R.
Oshima A.
Ozawa S.
Park I. H.
Potts M.
Pshirkov M. S.
Remington J.
Rodriguez D. C.
Ryu D.
Sagawa H.
Sahara R.
Saito Y.
Sakaki N.
Sako T.
Sakurai N.
Sano K.
Sato K.
Seki T.
Sekino K.
Shah P. D.
Shibasaki Y.
Shibata F.
Shibata N.
Shibata T.
Shimodaira H.
Shin B. K.
Shin H. S.
Shinto D.
Smith J. D.
Sokolsky P.
Sone N.
Stokes B. T.
Stroman T. A.
Suzawa T.
Takagi Y.
Takahashi Y.
Takamura M.
Takeda M.
Takeishi R.
Taketa A.
Takita M.
Tameda Y.
Tanaka H.
Tanaka K.
Tanaka M.
Tanoue Y.
Thomas S. B.
Thomson G. B.
Tinyakov P.
Tkachev I.
Tokuno H.
Tomida T.
Troitsky S.
Tsuda R.
Tsunesada Y.
Uchihori Y.
Udo S.
Uehama T.
Urban F.
Wong T.
Yada K.
Yamamoto M.
Yamazaki K.
Yang J.
Yashiro K.
Yoshida F.
Yoshioka Y.
Zhezher Y.
Zundel Z.
Atlasov E. A.
Bolotnikov N. G.
Dyachkovskiy N. A.
Gerasimova N. S.
Glushkov A. V.
Ivanov A. A.
Ivanov O. N.
Kellarev I. A.
Knurenko S. P.
Krasilnikov A. D.
Ksenofontov I. V.
Ksenofontov L. T.
Lebedev K. G.
Matarkin S. V.
Mokhnachevskaya V. P.
Neustroev N. I.
Petrov I. S.
Proshutinsky A. S.
Sabourov A. V.
Sleptsov I. Ye.
Struchkov G. G.
Timofeev L. V.
Yakovlev B. B.
Soldin, D.
Fomin, Yu. A.
Kalmykov, N. N.
Karpikov, I. S.
Kulikov, G. V.
Kuznetsov, M. Yu.
Rubtsov, G. I.
Sulakov, V. P.
Troitsky, S. V.
Abbasi, R.
Ackermann, M.
Adams, J.
Aguilar, J. A.
Ahlers, M.
Ahrens, M.
Alispach, C.
Alves, A. A.
Amin, N. M.
An, R.
Andeen, K.
Anderson, T.
Anton, G.
Arguelles, C.
Ashida, Y.
Axani, S.
Bai, X.
Balagopal, A. V.
Barbano, A.
Barwick, S. W.
Bastian, B.
Basu, V.
Baur, S.
Bay, R.
Beatty, J. J.
Becker, K. -H.
Becker Tjus, J.
Bellenghi, C.
Benzvi, S.
Berley, D.
Bernardini, E.
Besson, D. Z.
Binder, G.
Bindig, D.
Blaufuss, E.
Blot, S.
Boddenberg, M.
Bontempo, F.
Borowka, J.
Boser, S.
Botner, O.
Bottcher, J.
Bourbeau, E.
Bradascio, F.
Braun, J.
Bron, S.
Brostean-Kaiser, J.
Browne, S.
Burgman, A.
Burley, R. T.
Busse, R. S.
Campana, M. A.
Carnie-Bronca, E. G.
Chen, C.
Chirkin, D.
Choi, K.
Clark, B. A.
Clark, K.
Classen, L.
Coleman, A.
Collin, G. H.
Conrad, J. M.
Coppin, P.
Correa, P.
Cowen, D. F.
Cross, R.
Dappen, C.
Dave, P.
De Clercq, C.
Delaunay, J. J.
Dembinski, H.
Deoskar, K.
De Ridder, S.
Desai, A.
Desiati, P.
de Vries, K. D.
de Wasseige, G.
de With, M.
Deyoung, T.
Dharani, S.
Diaz, A.
Diaz-Velez, J. C.
Dittmer, M.
Dujmovic, H.
Dunkman, M.
Duvernois, M. A.
Dvorak, E.
Ehrhardt, T.
Eller, P.
Engel, R.
Erpenbeck, H.
Evans, J.
Evenson, P. A.
Fan, K. L.
Fazely, A. R.
Fiedlschuster, S.
Fienberg, A. T.
Filimonov, K.
Finley, C.
Fischer, L.
Fox, D.
Franckowiak, A.
Friedman, E.
Fritz, A.
Furst, P.
Gaisser, T. K.
Gallagher, J.
Ganster, E.
Garcia, A.
Garrappa, S.
Gerhardt, L.
Ghadimi, A.
Glaser, C.
Glauch, T.
Glusenkamp, T.
Goldschmidt, A.
Gonzalez, J. G.
Goswami, S.
Grant, D.
Gregoire, T.
Griswold, S.
Gunduz, M.
Gunther, C.
Haack, C.
Hallgren, A.
Halliday, R.
Halve, L.
Halzen, F.
Ha Minh, M.
Hanson, K.
Hardin, J.
Harnisch, A. A.
Haungs, A.
Hauser, S.
Hebecker, D.
Helbing, K.
Henningsen, F.
Hettinger, E. C.
Hickford, S.
Hignight, J.
Hill, C.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Hoinka, T.
Hokanson-Fasig, B.
Hoshina, K.
Huang, F.
Huber, M.
Huber, T.
Hultqvist, K.
Hunnefeld, M.
Hussain, R.
In, S.
Iovine, N.
Ishihara, A.
Jansson, M.
Japaridze, G. S.
Jeong, M.
Jones, B. J. P.
Kang, D.
Kang, W.
Kang, X.
Kappes, A.
Kappesser, D.
Karg, T.
Karl, M.
Karle, A.
Katz, U.
Kauer, M.
Kellermann, M.
Kelley, J. L.
Kheirandish, A.
Kin, K.
Kintscher, T.
Kiryluk, J.
Klein, S. R.
Koirala, R.
Kolanoski, H.
Kontrimas, T.
Kopke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Koundal, P.
Kovacevich, M.
Kowalski, M.
Kozynets, T.
Kun, E.
Kurahashi, N.
Lad, N.
Lagunas Gualda, C.
Lanfranchi, J. L.
Larson, M. J.
Lauber, F.
Lazar, J. P.
Lee, J. W.
Leonard, K.
Leszczynska, A.
Li, Y.
Lincetto, M.
Liu, Q. R.
Liubarska, M.
Lohfink, E.
Lozano Mariscal, C. J.
Lu, L.
Lucarelli, F.
Ludwig, A.
Luszczak, W.
Lyu, Y.
Ma, W. Y.
Madsen, J.
Mahn, K. B. M.
Makino, Y.
Mancina, S.
Maris, I. C.
Maruyama, R.
Mase, K.
Mcelroy, T.
Mcnally, F.
Mead, J. V.
Meagher, K.
Medina, A.
Meier, M.
Meighen-Berger, S.
Micallef, J.
Mockler, D.
Montaruli, T.
Moore, R. W.
Morse, R.
Moulai, M.
Naab, R.
Nagai, R.
Naumann, U.
Necker, J.
Nguyen, L. V.
Niederhausen, H.
Nisa, M. U.
Nowicki, S. C.
Nygren, D. R.
Obertacke Pollmann, A.
Oehler, M.
Olivas, A.
O'Sullivan, E.
Pandya, H.
Pankova, D. V.
Park, N.
Parker, G. K.
Paudel, E. N.
Paul, L.
Perez de los Heros, C.
Peters, L.
Peterson, J.
Philippen, S.
Pieloth, D.
Pieper, S.
Pittermann, M.
Pizzuto, A.
Plum, M.
Popovych, Y.
Porcelli, A.
Prado Rodriguez, M.
Price, P. B.
Pries, B.
Przybylski, G. T.
Raab, C.
Raissi, A.
Rameez, M.
Rawlins, K.
Rea, I. C.
Rehman, A.
Reichherzer, P.
Reimann, R.
Renzi, G.
Resconi, E.
Reusch, S.
Rhode, W.
Richman, M.
Riedel, B.
Roberts, E. J.
Robertson, S.
Roellinghoff, G.
Rongen, M.
Rott, C.
Ruhe, T.
Ryckbosch, D.
Rysewyk Cantu, D.
Safa, I.
Saffer, J.
Sanchez Herrera, S. E.
Sandrock, A.
Sandroos, J.
Santander, M.
Sarkar, S.
Satalecka, K.
Scharf, M.
Schaufel, M.
Schieler, H.
Schindler, S.
Schlunder, P.
Schmidt, T.
Schneider, A.
Schneider, J.
Schroder, F. G.
Schumacher, L.
Schwefer, G.
Sclafani, S.
Seckel, D.
Seunarine, S.
Sharma, A.
Shefali, S.
Silva, M.
Skrzypek, B.
Smithers, B.
Snihur, R.
Soedingrekso, J.
Spannfellner, C.
Spiczak, G. M.
Spiering, C.
Stachurska, J.
Stamatikos, M.
Stanev, T.
Stein, R.
Stettner, J.
Steuer, A.
Stezelberger, T.
Sturwald, T.
Stuttard, T.
Sullivan, G. W.
Taboada, I.
Tenholt, F.
Ter-Antonyan, S.
Tilav, S.
Tischbein, F.
Tollefson, K.
Tomankova, L.
Tonnis, C.
Toscano, S.
Tosi, D.
Trettin, A.
Tselengidou, M.
Tung, C. F.
Turcati, A.
Turcotte, R.
Turley, C. F.
Twagirayezu, J. P.
Ty, B.
Unland Elorrieta, M. A.
Valtonen-Mattila, N.
Vandenbroucke, J.
van Eijndhoven, N.
Vannerom, D.
van Santen, J.
Verpoest, S.
Vraeghe, M.
Walck, C.
Watson, T. B.
Weaver, C.
Weigel, P.
Weindl, A.
Weiss, M. J.
Weldert, J.
Wendt, C.
Werthebach, J.
Weyrauch, M.
Whitehorn, N.
Wiebusch, C. H.
Williams, D. R.
Wolf, M.
Woschnagg, K.
Wrede, G.
Wulff, J.
Xu, X. W.
Xu, Y.
Yanez, J. P.
Yoshida, S.
Yu, S.
Yuan, T.
Zhang, Z.
Apel, W. D.
Arteaga-Velazquez, J. C.
Bekk, K.
Bertaina, M.
Blumer, J.
Bozdog, H.
Cantoni, E.
Chiavassa, A.
Cossavella, F.
Daumiller, K.
de Souza, V.
Di Pierro, F.
Doll, P.
Fuhrmann, D.
Gherghel-Lascu, A.
Gils, H. J.
Glasstetter, R.
Grupen, C.
Heck, D.
Horandel, J. R.
Huege, T.
Kampert, K. -H.
Klages, H. O.
Link, K.
Luczak, P.
Mathes, H. J.
Mayer, H. J.
Milke, J.
Morello, C.
Oehlschlager, J.
Ostapchenko, S.
Pierog, T.
Rebel, H.
Rivera-Rangel, D.
Roth, M.
Schoo, S.
Sima, O.
Toma, G.
Trinchero, G. C.
Ulrich, H.
Wochele, J.
Zabierowski, J.
Barbashina, N. S.
Bogdanov, A. G.
Khokhlov, S. S.
Kindin, V. V.
Kokoulin, R. P.
Kompaniets, K. G.
Mannocchi, G.
Petrukhin, A. A.
Shutenko, V. V.
Trinchero, G.
Yashin, I. I.
Yurina, E. A.
Zadeba, E. A.
Abreu, P.
Aglietta, M.
Albury, J. M.
Allekotte, I.
Almela, A.
Alvarez-Muniz, J.
Alves Batista, R.
Anastasi, G. A.
Anchordoqui, L.
Andrada, B.
Andringa, S.
Aramo, C.
Araujo Ferreira, P. R.
Arteaga Velazquez, J. C.
Asorey, H.
Assis, P.
Avila, G.
Badescu, A. M.
Bakalova, A.
Balaceanu, A.
Barbato, F.
Barreira Luz, R. J.
Becker, K. H.
Bellido, J. A.
Berat, C.
Bertaina, M. E.
Bertou, X.
Biermann, P. L.
Binet, V.
Bismark, K.
Bister, T.
Biteau, J.
Blazek, J.
Bleve, C.
Bohacova, M.
Boncioli, D.
Bonifazi, C.
Bonneau Arbeletche, L.
Borodai, N.
Botti, A. M.
Brack, J.
Bretz, T.
Brichetto Orchera, P. G.
Briechle, F. L.
Buchholz, P.
Bueno, A.
Buitink, S.
Buscemi, M.
Busken, M.
Caballero-Mora, K. S.
Caccianiga, L.
Canfora, F.
Caracas, I.
Carceller, J. M.
Caruso, R.
Castellina, A.
Catalani, F.
Cataldi, G.
Cazon, L.
Cerda, M.
Chinellato, J. A.
Chudoba, J.
Chytka, L.
Clay, R. W.
Cobos Cerutti, A. C.
Colalillo, R.
Coluccia, M. R.
Conceicao, R.
Condorelli, A.
Consolati, G.
Contreras, F.
Convenga, F.
Correia dos Santos, D.
Covault, C. E.
Dasso, S.
Dawson, B. R.
Day, J. A.
de Almeida, R. M.
de Jesus, J.
de Jong, S. J.
De Mauro, G.
de Mello Neto, J. R. T.
De Mitri, I.
de Oliveira, J.
de Oliveira Franco, D.
de Palma, F.
De Vito, E.
del Rio, M.
Deligny, O.
Deval, L.
di Matteo, A.
Dobrigkeit, C.
D'Olivo, J. C.
Domingues Mendes, L. M.
dos Anjos, R. C.
dos Santos, D.
Dova, M. T.
Ebr, J.
Epicoco, I.
Erdmann, M.
Escobar, C. O.
Etchegoyen, A.
Falcke, H.
Farmer, J.
Farrar, G.
Fauth, A. C.
Fazzini, N.
Feldbusch, F.
Fenu, F.
Fick, B.
Figueira, J. M.
Filipcic, A.
Fitoussi, T.
Fodran, T.
Freire, M. M.
Fujii, T.
Fuster, A.
Galea, C.
Galelli, C.
Garcia, B.
Garcia Vegas, A. L.
Gemmeke, H.
Gesualdi, F.
Ghia, P. L.
Giaccari, U.
Giammarchi, M.
Glombitza, J.
Gobbi, F.
Gollan, F.
Golup, G.
Gomez Berisso, M.
Gomez Vitale, P. F.
Gongora, J. P.
Gonzalez, J. M.
Gonzalez, N.
Goos, I.
Gora, D.
Gorgi, A.
Gottowik, M.
Grubb, T. D.
Guarino, F.
Guedes, G. P.
Guido, E.
Hahn, S.
Hamal, P.
Hampel, M. R.
Hansen, P.
Harari, D.
Harvey, V. M.
Hebbeker, T.
Hojvat, C.
Horvath, P.
Hrabovsky, M.
Insolia, A.
Isar, P. G.
Janecek, P.
Johnsen, J. A.
Jurysek, J.
Kaapa, A.
Kampert, K. H.
Karastathis, N.
Keilhauer, B.
Kemp, J.
Khakurdikar, A.
Kizakke Covilakam, V. V.
Kleifges, M.
Kleinfeller, J.
Kopke, M.
Kunka, N.
Lago, B. L.
Lang, R. G.
Langner, N.
Leigui de Oliveira, M. A.
Lenok, V.
Letessier-Selvon, A.
Lhenry-Yvon, I.
Lo Presti, D.
Lopes, L.
Lopez, R.
Luce, Q.
Lundquist, J. P.
Machado Payeras, A.
Mancarella, G.
Mandat, D.
Manning, B. C.
Manshanden, J.
Mantsch, P.
Marafico, S.
Mariazzi, A. G.
Marsella, G.
Martello, D.
Martinelli, S.
Martinez Bravo, O.
Mastrodicasa, M.
Matthews, J.
Matthiae, G.
Mayotte, E.
Mazur, P. O.
Medina-Tanco, G.
Melo, D.
Menshikov, A.
Merenda, K. -D.
Michal, S.
Micheletti, M. I.
Miramonti, L.
Mollerach, S.
Montanet, F.
Mostafa, M.
Muller, A. L.
Muller, M. A.
Mulrey, K.
Mussa, R.
Muzio, M.
Namasaka, W. M.
Nasr-Esfahani, A.
Nellen, L.
Niculescu-Oglinzanu, M.
Niechciol, M.
Nitz, D.
Nosek, D.
Novotny, V.
Nozka, L.
Nucita, A.
Nunez, L. A.
Palatka, M.
Pallotta, J.
Papenbreer, P.
Parente, G.
Parra, A.
Pawlowsky, J.
Pech, M.
Pedreira, F.
Pekala, J.
Pelayo, R.
Pena-Rodriguez, J.
Pereira Martins, E. E.
Perez Armand, J.
Perez Bertolli, C.
Perlin, M.
Perrone, L.
Petrera, S.
Pimenta, M.
Pirronello, V.
Platino, M.
Pont, B.
Pothast, M.
Privitera, P.
Prouza, M.
Puyleart, A.
Querchfeld, S.
Rautenberg, J.
Ravignani, D.
Reininghaus, M.
Ridky, J.
Riehn, F.
Risse, M.
Rizi, V.
Rodrigues de Carvalho, W.
Rodriguez Rojo, J.
Roncoroni, M. J.
Rossoni, S.
Roulet, E.
Rovero, A. C.
Ruehl, P.
Saftoiu, A.
Salamida, F.
Salazar, H.
Salina, G.
Sanabria Gomez, J. D.
Sanchez, F.
Santos, E. M.
Santos, E.
Sarazin, F.
Sarmento, R.
Sarmiento-Cano, C.
Sato, R.
Savina, P.
Schafer, C. M.
Scherini, V.
Schimassek, M.
Schimp, M.
Schluter, F.
Schmidt, D.
Scholten, O.
Schovanek, P.
Schroder, S.
Schulte, J.
Sciutto, S. J.
Scornavacche, M.
Segreto, A.
Sehgal, S.
Shellard, R. C.
Sigl, G.
Silli, G.
Smida, R.
Sommers, P.
Soriano, J. F.
Souchard, J.
Squartini, R.
Stadelmaier, M.
Stanca, D.
Stanic, S.
Stasielak, J.
Stassi, P.
Streich, A.
Suarez-Duran, M.
Sudholz, T.
Suomijarvi, T.
Supanitsky, A. D.
Szadkowski, Z.
Tapia, A.
Taricco, C.
Timmermans, C.
Tkachenko, O.
Tobiska, P.
Todero Peixoto, C. J.
Tome, B.
Torres, Z.
Travaini, A.
Travnicek, P.
Trimarelli, C.
Tueros, M.
Ulrich, R.
Unger, M.
Vaclavek, L.
Vacula, M.
Valdes Galicia, J. F.
Valore, L.
Varela, E.
Vasquez-Ramirez, A.
Veberic, D.
Ventura, C.
Vergara Quispe, I. D.
Verzi, V.
Vicha, J.
Vink, J.
Vorobiov, S.
Wahlberg, H.
Watanabe, C.
Watson, A. A.
Weber, M.
Wiencke, L.
Wilczynski, H.
Wirtz, M.
Wittkowski, D.
Wundheiler, B.
Yushkov, A.
Zapparrata, O.
Zas, E.
Zavrtanik, D.
Zavrtanik, M.
Zehrer, L.
Ulrichs, J.
Abbasi, R. U.
Abe, M.
Abu-Zayyad, T.
Allen, M.
Arai, Y.
Barcikowski, E.
Belz, J. W.
Bergman, D. R.
Blake, S. A.
Buckland, I.
Cady, R.
Cheon, B. G.
Chiba, J.
Chikawa, M.
Fujisue, K.
Fujita, K.
Fujiwara, R.
Fukushima, M.
Fukushima, R.
Furlich, G.
Gonzalez, R.
Hanlon, W.
Hayashi, M.
Hayashida, N.
Hibino, K.
Higuchi, R.
Honda, K.
Ikeda, D.
Inadomi, T.
Inoue, N.
Ishii, T.
Ito, H.
Ivanov, D.
Iwakura, H.
Jeong, H. M.
Jeong, S.
Jui, C. C. H.
Kadota, K.
Kakimoto, F.
Kalashev, O.
Kasahara, K.
Kasami, S.
Kawai, H.
Kawakami, S.
Kawana, S.
Kawata, K.
Kido, E.
Kim, H. B.
Kim, J. H.
Kim, M. H.
Kim, S. W.
Kimura, Y.
Kishigami, S.
Kubota, Y.
Kurisu, S.
Kuzmin, V.
Kuznetsov, M.
Kwon, Y. J.
Lee, K. H.
Lubsandorzhiev, B.
Machida, K.
Matsumiya, H.
Matsuyama, T.
Matthews, J. N.
Mayta, R.
Minamino, M.
Mukai, K.
Myers, I.
Nagataki, S.
Nakai, K.
Nakamura, R.
Nakamura, T.
Nakamura, Y.
Nakazawa, A.
Nonaka, T.
Oda, H.
Ogio, S.
Ohnishi, M.
Ohoka, H.
Oku, Y.
Okuda, T.
Omura, Y.
Ono, M.
Onogi, R.
Oshima, A.
Ozawa, S.
Park, I. H.
Potts, M.
Pshirkov, M. S.
Remington, J.
Rodriguez, D. C.
Ryu, D.
Sagawa, H.
Sahara, R.
Saito, Y.
Sakaki, N.
Sako, T.
Sakurai, N.
Sano, K.
Sato, K.
Seki, T.
Sekino, K.
Shah, P. D.
Shibasaki, Y.
Shibata, F.
Shibata, N.
Shibata, T.
Shimodaira, H.
Shin, B. K.
Shin, H. S.
Shinto, D.
Smith, J. D.
Sokolsky, P.
Sone, N.
Stokes, B. T.
Stroman, T. A.
Suzawa, T.
Takagi, Y.
Takahashi, Y.
Takamura, M.
Takeda, M.
Takeishi, R.
Taketa, A.
Takita, M.
Tameda, Y.
Tanaka, H.
Tanaka, K.
Tanaka, M.
Tanoue, Y.
Thomas, S. B.
Thomson, G. B.
Tinyakov, P.
Tkachev, I.
Tokuno, H.
Tomida, T.
Troitsky, S.
Tsuda, R.
Tsunesada, Y.
Uchihori, Y.
Udo, S.
Uehama, T.
Urban, F.
Wong, T.
Yada, K.
Yamamoto, M.
Yamazaki, K.
Yang, J.
Yashiro, K.
Yoshida, F.
Yoshioka, Y.
Zhezher, Y.
Zundel, Z.
Atlasov, E. A.
Bolotnikov, N. G.
Dyachkovskiy, N. A.
Gerasimova, N. S.
Glushkov, A. V.
Ivanov, A. A.
Ivanov, O. N.
Kellarev, I. A.
Knurenko, S. P.
Krasilnikov, A. D.
Ksenofontov, I. V.
Ksenofontov, L. T.
Lebedev, K. G.
Matarkin, S. V.
Mokhnachevskaya, V. P.
Neustroev, N. I.
Petrov, I. S.
Proshutinsky, A. S.
Sabourov, A. V.
Sleptsov, I. Ye.
Struchkov, G. G.
Timofeev, L. V.
Yakovlev, B. B.
Over the last two decades, various experiments have measured muon densities in extensive air showers over several orders of magnitude in primary energy. While some experiments observed differences in the muon densities between simulated and experimentally measured air showers, others reported no discrepancies. We will present an update of the meta-analysis of muon measurements from nine air shower experiments, covering shower energies between a few PeV and tens of EeV and muon threshold energies from a few 100 MeV to about 10GeV. In order to compare measurements from different experiments, their energy scale was cross-calibrated and the experimental data has been compared using a universal reference scale based on air shower simulations. Above 10 PeV, we find a muon excess with respect to simulations for all hadronic interaction models, which is increasing with shower energy. For EPOS-LHC and QGSJet-II.04 the significance of the slope of the increase is analyzed in detail under different assumptions of the individual experimental uncertainties.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503948
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145772917
info:eu-repo/semantics/altIdentifier/wos/WOS:001070848603004
eng
eng
ispartofbook:Proceedings of Science
37th International Cosmic Ray Conference, ICRC 2021
volume:395
journal:POS PROCEEDINGS OF SCIENCE
Sissa Medialab Srl
oai:www.research.unipd.it:11577/35074332024-02-14T03:40:58Zcom_11577_3160576com_11577_3160572col_11577_3160551
Investigating the Generative Dynamics of Energy-Based Neural Networks
Tausani L.
Testolin A.
Zorzi M.
Tausani, L.
Testolin, A.
Zorzi, M.
Energy-based model
Generative model
Spontaneous brain activity
Generative neural networks can produce data samples according to the statistical properties of their training distribution. This feature can be used to test modern computational neuroscience hypotheses suggesting that spontaneous brain activity is partially supported by top-down generative processing. A widely studied class of generative models is that of Restricted Boltzmann Machines (RBMs), which can be used as building blocks for unsupervised deep learning architectures. In this work, we systematically explore the generative dynamics of RBMs, characterizing the number of states visited during top-down sampling and investigating whether the heterogeneity of visited attractors could be increased by starting the generation process from biased hidden states. By considering an RBM trained on a classic dataset of handwritten digits, we show that the capacity to produce diverse data prototypes can be increased by initiating top-down sampling from chimera states, which encode high-level visual features of multiple digit classes. We also find that the model is not capable of transitioning between all possible digit states within a single generation trajectory, suggesting that the top-down dynamics is heavily constrained by the shape of the energy function. We also study the generative dynamics on a more challenging dataset containing pictures of faces, showing that the exploration of stable states also partially depends on complexity of the training data distribution.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3507433
10.1007/978-3-031-43075-6_9
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85172414271
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-43074-9
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-43075-6
eng
ispartofbook:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
16th International Conference on Brain Informatics, BI 2023
volume:13974
firstpage:96
lastpage:108
numberofpages:13
serie:LECTURE NOTES IN COMPUTER SCIENCE
ELETTRONICO
Springer Science and Business Media Deutschland GmbH
oai:www.research.unipd.it:11577/34693522024-03-23T03:20:34Zcom_11577_3160576com_11577_3160572col_11577_3160551
Compression Improvement via Reference Organization for 2D-multiview Content
Nikitin P.
Cagnazzo M.
Jung J.
Nikitin, P.
Cagnazzo, M.
Jung, J.
2D-multiview
coding order
Compression
free-navigation
reference pictures lists
One of the most challenging goals of future immersive services is to enable the observation of a scene from any viewpoint, thus making free-navigation possible under certain constraints. In order to provide such kind of services with smooth navigation, a huge amount of views should be available on the client's device. In particular, it is important for the case of 2D-multiview content, where cameras are positioned on a 2D grid in order to provide both horizontal and vertical parallax. This kind of content requires a large coding rate; therefore improving the compression performance of video encoders is especially relevant in this case. This paper studies how the encoder configuration affects the compression, by taking into account the spatial position of each camera. Four parameters are addressed in this work: coding order of the views, the number of reference lists, the number of reference pictures, and the ordering of pictures in the reference lists. An average of 12.0% bitrate saving is achieved for medium bitrate and 11.1% for low bitrate compared to the state of the art techniques.
2019
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3469352
10.1109/ICASSP.2019.8682999
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85068963792
info:eu-repo/semantics/altIdentifier/wos/WOS:000482554001168
eng
ispartofbook:ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
volume:2019-
firstpage:1612
lastpage:1616
numberofpages:5
serie:PROCEEDINGS OF THE ... IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/34952462024-03-21T22:15:11Zcom_11577_3160576com_11577_3160572col_11577_3160551
Control of HVAC systems via scenario-based explicit MPC
Parisio A.
Fabietti L.
Molinari M.
Varagnolo D.
Johansson K. H.
Parisio, A.
Fabietti, L.
Molinari, M.
Varagnolo, D.
Johansson, K. H.
Improving energy efficiency of Heating, Ventilation and Air Conditioning (HVAC) systems is a primary objective for the society. Model Predictive Control (MPC) techniques for HVAC systems have recently received particular attention, since they can naturally account for several factors, such as weather and occupancy forecasts, comfort ranges and actuation constraints. Developing effective MPC based control strategies for HVAC systems is nontrivial, since buildings dynamics are nonlinear and affected by various uncertainties. Further, the complexity of the MPC problem and the burden of on-line computations can lead to difficulties in integrating this scheme into a building management system.
2014
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3495246
10.1109/CDC.2014.7040202
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84940423528
info:eu-repo/semantics/altIdentifier/isbn/978-1-4673-6090-6
info:eu-repo/semantics/altIdentifier/isbn/978-1-4799-7746-8
info:eu-repo/semantics/altIdentifier/isbn/978-1-4799-7745-1
info:eu-repo/semantics/altIdentifier/wos/WOS:000370073805060
eng
eng
ispartofbook:Proceedings of the IEEE Conference on Decision and Control
2014 53rd IEEE Annual Conference on Decision and Control, CDC 2014
volume:2015-
firstpage:5201
lastpage:5207
numberofpages:7
serie:PROCEEDINGS OF THE IEEE CONFERENCE ON DECISION & CONTROL
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/35067952024-03-23T20:48:49Zcom_11577_3160576com_11577_3160572col_11577_3160551
Lifetime Prediction in Power Semiconductor Devices: A Comparative study between Analytical Modeling and Artificial Neural Network
Vaccaro A.
Zilio A.
Magnone P.
Vaccaro, A.
Zilio, A.
Magnone, P.
Artificial Neural Network (ANN)
Lifetime estimation
Lifetime modeling
Power cycling
Reliability
In this work the reliability of TO-247 IGBT devices is investigated in the case of power cycling stress. A large range of test conditions is considered, varying the junction temperature cycling from 40°C to 150°C and the heating time from 0.3s to 32s. Under this wide range of test conditions, different failure modes determine the end of life of components. This work investigates the suitability of artificial neural networks and conventional analytical models to predict the lifetime of components where different failure mechanisms occur. Both models are compared against experimental data and root mean square relative errors are evaluated to quantify their accuracy.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3506795
10.1109/APEC43580.2023.10131380
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85162242119
info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-7539-6
info:eu-repo/semantics/altIdentifier/wos/WOS:001012113601049
eng
eng
ispartofbook:Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
38th Annual IEEE Applied Power Electronics Conference and Exposition, APEC 2023
volume:2023-
firstpage:1172
lastpage:1176
numberofpages:5
serie:CONFERENCE PROCEEDINGS - IEEE APPLIED POWER ELECTRONICS CONFERENCE AND EXPOSITION
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/35012772024-03-23T00:43:48Zcom_11577_3160576com_11577_3160572col_11577_3160551
A Systematic Mapping Study of Italian Research on Workflows
Aldinucci, Marco
Baralis, Elena Maria
Cardellini, Valeria
Colonnelli, Iacopo
Danelutto, Marco
Decherchi, Sergio
Di Modica, Giuseppe
Ferrucci, Luca
Gribaudo, Marco
Iannone, Francesco
Lapegna, Marco
Medic, Doriana
Muscianisi, Giuseppa
Righetti, Francesca
Sciacca, Eva
Tonellotto, Nicola
Tortonesi, Mauro
Trunfio, Paolo
Vardanega, Tullio
Aldinucci, Marco
Baralis, Elena Maria
Cardellini, Valeria
Colonnelli, Iacopo
Danelutto, Marco
Decherchi, Sergio
Di Modica, Giuseppe
Ferrucci, Luca
Gribaudo, Marco
Iannone, Francesco
Lapegna, Marco
Medic, Doriana
Muscianisi, Giuseppa
Righetti, Francesca
Sciacca, Eva
Tonellotto, Nicola
Tortonesi, Mauro
Trunfio, Paolo
Vardanega, Tullio
Edge-to-Cloud Continuum
orchestration
workflow
High-Performance Computing.
An entire ecosystem of methodologies and tools revolves around scientific workflow management. They cover crucial non-functional requirements that standard workflow models fail to target, such as interactive execution, energy efficiency, performance portability, Big Data management, and intelligent orchestration in the Computing Continuum. Characterizing and monitoring this ecosystem is crucial to developing an informed view of current and future research directions. This work conducts a systematic mapping study of the Italian workflow research community, analyzing 25 tools and 10 applications from several scientific domains in the context of the "National Research Centre for HPC, Big Data, and Quantum Computing" (ICSC). The study aims to outline the main current research directions and determine how they address the critical needs of modern scientific applications. The findings highlight a variegated research ecosystem of tools, with a prominent interest in advanced workflow orchestration and still immature but promising efforts toward energy efficiency.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3501277
10.1145/3624062.3624285
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85178095933
info:eu-repo/semantics/altIdentifier/isbn/979-8-4007-0785-8
https://dl.acm.org/doi/10.1145/3624062.3624285
eng
eng
ispartofbook:SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
SC-W '23: Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, Network, Storage, and Analysis
firstpage:2065
lastpage:2076
numberofpages:12
ELETTRONICO
ACM
oai:www.research.unipd.it:11577/34670322024-02-01T00:59:30Zcom_11577_3160576com_11577_3160572col_11577_3160551
Instrumentation of sprint and long jump tracks of
an indoor athletics field to study athletes’ performances
Paolo Mistretta
Mattia Scapinello
Samira Breban
Andrea Giovanni Cutti
Nicola Petrone
ISEA
Mistretta, Paolo
Scapinello, Mattia
Breban, SAMIRA GIULIANA
Giovanni Cutti, Andrea
Petrone, Nicola
sprint biomechanics, instrumeted track, ground reaction forces, motion capture
Introduction: The in-depth study of the performances of athletes is crucial to evaluate and improve their technique. However, collecting representative data is not trivial, as several factors could affect the measurements. Laboratory measurements can lack in realism (artificial environment, athlete’s lack of challenge), whereas data collected in-field using on-board devices can be influenced by the instrumentation itself (weight, encumbrance) [1-2].
The aim of this work is the design of an instrumented track, which will allow to collect kinematic and kinetic data of able bodied and paralimpic athletes in their natural environment, ensuring that the influence of the sensory apparatus is negligible.
Methods: The instrumentation set-up of the indoor athletics track of Padova (Padova, 35136, Italy) is represented in the plan view of figure 1a. Seven 60x90 cm and two 40x60 cm force platforms (AMTI, BMS600900 and BMS400600) will be installed following the disposition depicted in figure 1b on the eighth lane of the sprint track, leading to a total of 6.9 metres of force sensing lane. The two smaller force platforms will be installed side-by-side to allow the possibility of mounting one single starting block on each force transducer to collect separate right and left ground reaction forces during the starting phase of sprinting. An additional 60x90 cm force platform will be installed on the long jump track at 1.6 metres from the sand pit in order to collect the last step of the athlete before the flight phase of the long jump (figure 1c).
Kinematic data will be collected using 10 optoelectronic motion capture cameras (Vicon, Vantage5), which will be installed on a double portal structure made of aluminium trusses with an overall size of 13 x 7 x 3.5 metres (length x width x height). The structure size allows more than one athlete to run simultanesously, in order to recreate the “challenge effect” typical of official races.
Compared to other motion capture mounting solutions, such as using tripods to support each individual camera [3], the use of this single support structure offers the advantage of allowing to rigidly translate the motion capture calibrated volume in different part of the athletics field using wheels. This feature reduces drastically the set-up time of the motion capture system, particularly when the data collection focus has to be moved between the sprint and the long jump area.
Moreover, this structure allows to avoid the presence of any cable on the track, as wires will pass through the trusses and descend via the vertical columns.
Results and discussion: The design of the sensorized athletics track is complete and the installation of the instrumentation will take place in the next few months.
This track will allow to collect insightfull in-field data regarding able bodied and paralimpic athletes performances outside the laboratory environment.
Examples of these data will be presented in June at the ISEA 2022 conference.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3467032
https://docs.lib.purdue.edu/resec-isea/?_ga=2.53041512.1351753545.1675187544-1405491168.1644504618
eng
ispartofbook:ISEA 2022 – The Engineering of Sport 14, Purdue University, 6-10 June 2022
ISEA 2022 – The Engineering of Sport 14, Purdue University, 6-10 June 2022
numberofpages:2
ELETTRONICO
alleditors:ISEA
oai:www.research.unipd.it:11577/35088542024-03-03T14:36:38Zcom_11577_3160576com_11577_3160572col_11577_3160551
A topological counterpart of well-founded trees in dependent type theory
Maria Emilia Maietti
Pietro Sabelli
Maietti, MARIA EMILIA
Sabelli, Pietro
Computer Science - Logic in Computer Science
Computer Science - Logic in Computer Science
F.4.1
Within dependent type theory, we provide a topological counterpart of
well-founded trees (for short, W-types) by using a proof-relevant version of
the notion of inductively generated suplattices introduced in the context of
formal topology under the name of inductively generated basic covers. In more
detail, we show, firstly, that in Homotopy Type Theory, W-types and proof
relevant inductively generated basic covers are propositionally mutually
encodable. Secondly, we prove they are definitionally mutually encodable in the
Agda implementation of intensional Martin-Loef's type theory. Finally, we
reframe the equivalence in the Minimalist Foundation framework by introducing
well-founded predicates as the logical counterpart for predicates of dependent
W-types. All the results have been checked in the Agda proof-assistant.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3508854
10.46298/entics.11755
http://arxiv.org/abs/2308.08404v2
eng
ispartofbook:A Topological Counterpart of Well-founded Trees in Dependent Type Theory
Mathematical Foundations of Programming Semantics (MFPS) 2023
volume:vol. 3 - Proceedings of MFPS 2023
firstpage:1
lastpage:16
numberofpages:16
serie:Electronic Notes in Theoretical Informatics and Computer Science
ELETTRONICO
oai:www.research.unipd.it:11577/35058172024-02-02T00:15:25Zcom_11577_3160576com_11577_3160572col_11577_3160551
Assessing the Semantic Difficulty of Queries
Faggioli G.
Marchesin S.
Faggioli, G.
Marchesin, S.
Traditional Information Retrieval (IR) models, also known as lexical models, are hindered by the semantic gap, which refers to the mismatch between different representations of the same underlying concept. To address this gap, semantic models have been developed. Semantic and lexical models exploit complementary signals that are best suited for different types of queries. For this reason, these model categories should not be used interchangeably, but should rather be properly alternated depending on the query. Therefore, it is important to identify queries where the semantic gap is prominent and thus semantic models prove effective. In this work, we quantify the impact of using semantic or lexical models on different queries, and we show that the interaction between queries and model categories is large. Then, we propose a labeling strategy to classify queries into semantically hard or easy, and we deploy a prototype classifier to discriminate between them.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3505817
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136172088
eng
eng
ispartofbook:CEUR Workshop Proceedings
12th Italian Information Retrieval Workshop, IIR 2022
volume:3177
serie:CEUR WORKSHOP PROCEEDINGS
CEUR-WS
oai:www.research.unipd.it:11577/35107642024-03-19T14:11:50Zcom_11577_3160576com_11577_3160572col_11577_3160551
Resource transition systems and full abstraction for linear higher-order effectful programs
Lago U. D.
Gavazzo F.
Lago, U. D.
Gavazzo, F.
Algebraic effect
Full abstraction
Linearity
Program equivalence
We investigate program equivalence for linear higher-order (sequential) languages endowed with primitives for computational effects. More specifically, we study operationally-based notions of program equivalence for a linear γ-calculus with explicit copying and algebraic effects à la Plotkin and Power. Such a calculus makes explicit the interaction between copying and linearity, which are intensional aspects of computation, with effects, which are, instead, extensional. We review some of the notions of equivalences for linear calculi proposed in the literature and show their limitations when applied to effectful calculi where copying is a first-class citizen. We then introduce resource transition systems, namely transition systems whose states are built over tuples of programs representing the available resources, as an operational semantics accounting for both intensional and extensional interactive behaviours of programs. Our main result is a sound and complete characterization of contextual equivalence as trace equivalence defined on top of resource transition systems.
2021
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3510764
10.4230/LIPIcs.FSCD.2021.23
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85115210017
eng
eng
ispartofbook:Leibniz International Proceedings in Informatics, LIPIcs
6th International Conference on Formal Structures for Computation and Deduction, FSCD 2021
volume:195
serie:LEIBNIZ INTERNATIONAL PROCEEDINGS IN INFORMATICS
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
oai:www.research.unipd.it:11577/35039872024-03-20T08:30:16Zcom_11577_3160576com_11577_3160572col_11577_3160551
Studies of systematic uncertainty effects on IceCube’s real-time angular uncertainty
Lagunas Gualda C.
Ashida Y.
Sharma A.
Thomas H.
Abbasi R.
Ackermann M.
Adams J.
Aguilar J. A.
Ahlers M.
Ahrens M.
Alispach C.
Alves A. A.
Amin N. M.
An R.
Andeen K.
Anderson T.
Anton G.
Arguelles C.
Ashida Y.
Axani S.
Bai X.
Balagopal A. V.
Barbano A.
Barwick S. W.
Bastian B.
Basu V.
Baur S.
Bay R.
Beatty J. J.
Becker K. -H.
Becker Tjus J.
Bellenghi C.
BenZvi S.
Berley D.
Bernardini E.
Besson D. Z.
Binder G.
Bindig D.
Blaufuss E.
Blot S.
Boddenberg M.
Bontempo F.
Borowka J.
Boser S.
Botner O.
Bottcher J.
Bourbeau E.
Bradascio F.
Braun J.
Bron S.
Brostean-Kaiser J.
Browne S.
Burgman A.
Burley R. T.
Busse R. S.
Campana M. A.
Carnie-Bronca E. G.
Chen C.
Chirkin D.
Choi K.
Clark B. A.
Clark K.
Classen L.
Coleman A.
Collin G. H.
Conrad J. M.
Coppin P.
Correa P.
Cowen D. F.
Cross R.
Dappen C.
Dave P.
De Clercq C.
DeLaunay J. J.
Dembinski H.
Deoskar K.
De Ridder S.
Desai A.
Desiati P.
de Vries K. D.
de Wasseige G.
de With M.
DeYoung T.
Dharani S.
Diaz A.
Diaz-Velez J. C.
Dittmer M.
Dujmovic H.
Dunkman M.
DuVernois M. A.
Dvorak E.
Ehrhardt T.
Eller P.
Engel R.
Erpenbeck H.
Evans J.
Evenson P. A.
Fazely A. R.
Fiedlschuster S.
Fienberg A. T.
Filimonov K.
Finley C.
Fischer L.
Fox D.
Franckowiak A.
Friedman E.
Fritz A.
Furst P.
Gaisser T. K.
Gallagher J.
Ganster E.
Garcia A.
Garrappa S.
Gerhardt L.
Ghadimi A.
Glaser C.
Glauch T.
Glusenkamp T.
Goldschmidt A.
Gonzalez J. G.
Goswami S.
Grant D.
Gregoire T.
Griswold S.
Gunduz M.
Gunther C.
Haack C.
Hallgren A.
Halliday R.
Halve L.
Halzen F.
Ha Minh M.
Hanson K.
Hardin J.
Harnisch A. A.
Haungs A.
Hauser S.
Hebecker D.
Helbing K.
Henningsen F.
Hettinger E. C.
Hickford S.
Hignight J.
Hill C.
Hill G. C.
Hoffman K. D.
Hoffmann R.
Hoinka T.
Hokanson-Fasig B.
Hoshina K.
Huang F.
Huber M.
Huber T.
Hultqvist K.
Hunnefeld M.
Hussain R.
In S.
Iovine N.
Ishihara A.
Jansson M.
Japaridze G. S.
Jeong M.
Jones B. J. P.
Kang D.
Kang W.
Kang X.
Kappes A.
Kappesser D.
Karg T.
Karl M.
Karle A.
Katz U.
Kauer M.
Kellermann M.
Kelley J. L.
Kheirandish A.
Kin K.
Kintscher T.
Kiryluk J.
Klein S. R.
Koirala R.
Kolanoski H.
Kontrimas T.
Kopke L.
Kopper C.
Kopper S.
Koskinen D. J.
Koundal P.
Kovacevich M.
Kowalski M.
Kozynets T.
Kun E.
Kurahashi N.
Lad N.
Lagunas Gualda C.
Lanfranchi J. L.
Larson M. J.
Lauber F.
Lazar J. P.
Lee J. W.
Leonard K.
Leszczynska A.
Li Y.
Lincetto M.
Liu Q. R.
Liubarska M.
Lohfink E.
Lozano Mariscal C. J.
Lu L.
Lucarelli F.
Ludwig A.
Luszczak W.
Lyu Y.
Ma W. Y.
Madsen J.
Mahn K. B. M.
Makino Y.
Mancina S.
Maris I. C.
Maruyama R.
Mase K.
McElroy T.
McNally F.
Mead J. V.
Meagher K.
Medina A.
Meier M.
Meighen-Berger S.
Micallef J.
Mockler D.
Montaruli T.
Moore R. W.
Morse R.
Moulai M.
Naab R.
Nagai R.
Naumann U.
Necker J.
Nguyen L. V.
Niederhausen H.
Nisa M. U.
Nowicki S. C.
Nygren D. R.
Obertacke Pollmann A.
Oehler M.
Olivas A.
O'Sullivan E.
Pandya H.
Pankova D. V.
Park N.
Parker G. K.
Paudel E. N.
Paul L.
Perez de los Heros C.
Peters L.
Philippen S.
Pieloth D.
Pieper S.
Pittermann M.
Pizzuto A.
Plum M.
Popovych Y.
Porcelli A.
Prado Rodriguez M.
Price P. B.
Pries B.
Przybylski G. T.
Raab C.
Raissi A.
Rameez M.
Rawlins K.
Rea I. C.
Rehman A.
Reichherzer P.
Reimann R.
Renzi G.
Resconi E.
Reusch S.
Rhode W.
Richman M.
Riedel B.
Roberts E. J.
Robertson S.
Roellinghoff G.
Rongen M.
Rott C.
Ruhe T.
Ryckbosch D.
Rysewyk Cantu D.
Safa I.
Saffer J.
Sanchez Herrera S. E.
Sandrock A.
Sandroos J.
Santander M.
Sarkar S.
Sarkar S.
Satalecka K.
Scharf M.
Schaufel M.
Schieler H.
Schindler S.
Schlunder P.
Schmidt T.
Schneider A.
Schneider J.
Schroder F. G.
Schumacher L.
Schwefer G.
Sclafani S.
Seckel D.
Seunarine S.
Sharma A.
Shefali S.
Silva M.
Skrzypek B.
Smithers B.
Snihur R.
Soedingrekso J.
Soldin D.
Spannfellner C.
Spiczak G. M.
Spiering C.
Stachurska J.
Stamatikos M.
Stanev T.
Stein R.
Stettner J.
Steuer A.
Stezelberger T.
Sturwald T.
Stuttard T.
Sullivan G. W.
Taboada I.
Tenholt F.
Ter-Antonyan S.
Tilav S.
Tischbein F.
Tollefson K.
Tomankova L.
Tonnis C.
Toscano S.
Tosi D.
Trettin A.
Tselengidou M.
Tung C. F.
Turcati A.
Turcotte R.
Turley C. F.
Twagirayezu J. P.
Ty B.
Unland Elorrieta M. A.
Valtonen-Mattila N.
Vandenbroucke J.
van Eijndhoven N.
Vannerom D.
van Santen J.
Verpoest S.
Vraeghe M.
Walck C.
Watson T. B.
Weaver C.
Weigel P.
Weindl A.
Weiss M. J.
Weldert J.
Wendt C.
Werthebach J.
Weyrauch M.
Whitehorn N.
Wiebusch C. H.
Williams D. R.
Wolf M.
Woschnagg K.
Wrede G.
Wulff J.
Xu X. W.
Xu Y.
Yanez J. P.
Yoshida S.
Yu S.
Yuan T.
Zhang Z.
Lagunas Gualda, C.
Ashida, Y.
Sharma, A.
Thomas, H.
Abbasi, R.
Ackermann, M.
Adams, J.
Aguilar, J. A.
Ahlers, M.
Ahrens, M.
Alispach, C.
Alves, A. A.
Amin, N. M.
An, R.
Andeen, K.
Anderson, T.
Anton, G.
Arguelles, C.
Ashida, Y.
Axani, S.
Bai, X.
Balagopal, A. V.
Barbano, A.
Barwick, S. W.
Bastian, B.
Basu, V.
Baur, S.
Bay, R.
Beatty, J. J.
Becker, K. -H.
Becker Tjus, J.
Bellenghi, C.
Benzvi, S.
Berley, D.
Bernardini, E.
Besson, D. Z.
Binder, G.
Bindig, D.
Blaufuss, E.
Blot, S.
Boddenberg, M.
Bontempo, F.
Borowka, J.
Boser, S.
Botner, O.
Bottcher, J.
Bourbeau, E.
Bradascio, F.
Braun, J.
Bron, S.
Brostean-Kaiser, J.
Browne, S.
Burgman, A.
Burley, R. T.
Busse, R. S.
Campana, M. A.
Carnie-Bronca, E. G.
Chen, C.
Chirkin, D.
Choi, K.
Clark, B. A.
Clark, K.
Classen, L.
Coleman, A.
Collin, G. H.
Conrad, J. M.
Coppin, P.
Correa, P.
Cowen, D. F.
Cross, R.
Dappen, C.
Dave, P.
De Clercq, C.
Delaunay, J. J.
Dembinski, H.
Deoskar, K.
De Ridder, S.
Desai, A.
Desiati, P.
de Vries, K. D.
de Wasseige, G.
de With, M.
Deyoung, T.
Dharani, S.
Diaz, A.
Diaz-Velez, J. C.
Dittmer, M.
Dujmovic, H.
Dunkman, M.
Duvernois, M. A.
Dvorak, E.
Ehrhardt, T.
Eller, P.
Engel, R.
Erpenbeck, H.
Evans, J.
Evenson, P. A.
Fazely, A. R.
Fiedlschuster, S.
Fienberg, A. T.
Filimonov, K.
Finley, C.
Fischer, L.
Fox, D.
Franckowiak, A.
Friedman, E.
Fritz, A.
Furst, P.
Gaisser, T. K.
Gallagher, J.
Ganster, E.
Garcia, A.
Garrappa, S.
Gerhardt, L.
Ghadimi, A.
Glaser, C.
Glauch, T.
Glusenkamp, T.
Goldschmidt, A.
Gonzalez, J. G.
Goswami, S.
Grant, D.
Gregoire, T.
Griswold, S.
Gunduz, M.
Gunther, C.
Haack, C.
Hallgren, A.
Halliday, R.
Halve, L.
Halzen, F.
Ha Minh, M.
Hanson, K.
Hardin, J.
Harnisch, A. A.
Haungs, A.
Hauser, S.
Hebecker, D.
Helbing, K.
Henningsen, F.
Hettinger, E. C.
Hickford, S.
Hignight, J.
Hill, C.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Hoinka, T.
Hokanson-Fasig, B.
Hoshina, K.
Huang, F.
Huber, M.
Huber, T.
Hultqvist, K.
Hunnefeld, M.
Hussain, R.
In, S.
Iovine, N.
Ishihara, A.
Jansson, M.
Japaridze, G. S.
Jeong, M.
Jones, B. J. P.
Kang, D.
Kang, W.
Kang, X.
Kappes, A.
Kappesser, D.
Karg, T.
Karl, M.
Karle, A.
Katz, U.
Kauer, M.
Kellermann, M.
Kelley, J. L.
Kheirandish, A.
Kin, K.
Kintscher, T.
Kiryluk, J.
Klein, S. R.
Koirala, R.
Kolanoski, H.
Kontrimas, T.
Kopke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Koundal, P.
Kovacevich, M.
Kowalski, M.
Kozynets, T.
Kun, E.
Kurahashi, N.
Lad, N.
Lagunas Gualda, C.
Lanfranchi, J. L.
Larson, M. J.
Lauber, F.
Lazar, J. P.
Lee, J. W.
Leonard, K.
Leszczynska, A.
Li, Y.
Lincetto, M.
Liu, Q. R.
Liubarska, M.
Lohfink, E.
Lozano Mariscal, C. J.
Lu, L.
Lucarelli, F.
Ludwig, A.
Luszczak, W.
Lyu, Y.
Ma, W. Y.
Madsen, J.
Mahn, K. B. M.
Makino, Y.
Mancina, S.
Maris, I. C.
Maruyama, R.
Mase, K.
Mcelroy, T.
Mcnally, F.
Mead, J. V.
Meagher, K.
Medina, A.
Meier, M.
Meighen-Berger, S.
Micallef, J.
Mockler, D.
Montaruli, T.
Moore, R. W.
Morse, R.
Moulai, M.
Naab, R.
Nagai, R.
Naumann, U.
Necker, J.
Nguyen, L. V.
Niederhausen, H.
Nisa, M. U.
Nowicki, S. C.
Nygren, D. R.
Obertacke Pollmann, A.
Oehler, M.
Olivas, A.
O'Sullivan, E.
Pandya, H.
Pankova, D. V.
Park, N.
Parker, G. K.
Paudel, E. N.
Paul, L.
Perez de los Heros, C.
Peters, L.
Philippen, S.
Pieloth, D.
Pieper, S.
Pittermann, M.
Pizzuto, A.
Plum, M.
Popovych, Y.
Porcelli, A.
Prado Rodriguez, M.
Price, P. B.
Pries, B.
Przybylski, G. T.
Raab, C.
Raissi, A.
Rameez, M.
Rawlins, K.
Rea, I. C.
Rehman, A.
Reichherzer, P.
Reimann, R.
Renzi, G.
Resconi, E.
Reusch, S.
Rhode, W.
Richman, M.
Riedel, B.
Roberts, E. J.
Robertson, S.
Roellinghoff, G.
Rongen, M.
Rott, C.
Ruhe, T.
Ryckbosch, D.
Rysewyk Cantu, D.
Safa, I.
Saffer, J.
Sanchez Herrera, S. E.
Sandrock, A.
Sandroos, J.
Santander, M.
Sarkar, S.
Sarkar, S.
Satalecka, K.
Scharf, M.
Schaufel, M.
Schieler, H.
Schindler, S.
Schlunder, P.
Schmidt, T.
Schneider, A.
Schneider, J.
Schroder, F. G.
Schumacher, L.
Schwefer, G.
Sclafani, S.
Seckel, D.
Seunarine, S.
Sharma, A.
Shefali, S.
Silva, M.
Skrzypek, B.
Smithers, B.
Snihur, R.
Soedingrekso, J.
Soldin, D.
Spannfellner, C.
Spiczak, G. M.
Spiering, C.
Stachurska, J.
Stamatikos, M.
Stanev, T.
Stein, R.
Stettner, J.
Steuer, A.
Stezelberger, T.
Sturwald, T.
Stuttard, T.
Sullivan, G. W.
Taboada, I.
Tenholt, F.
Ter-Antonyan, S.
Tilav, S.
Tischbein, F.
Tollefson, K.
Tomankova, L.
Tonnis, C.
Toscano, S.
Tosi, D.
Trettin, A.
Tselengidou, M.
Tung, C. F.
Turcati, A.
Turcotte, R.
Turley, C. F.
Twagirayezu, J. P.
Ty, B.
Unland Elorrieta, M. A.
Valtonen-Mattila, N.
Vandenbroucke, J.
van Eijndhoven, N.
Vannerom, D.
van Santen, J.
Verpoest, S.
Vraeghe, M.
Walck, C.
Watson, T. B.
Weaver, C.
Weigel, P.
Weindl, A.
Weiss, M. J.
Weldert, J.
Wendt, C.
Werthebach, J.
Weyrauch, M.
Whitehorn, N.
Wiebusch, C. H.
Williams, D. R.
Wolf, M.
Woschnagg, K.
Wrede, G.
Wulff, J.
Xu, X. W.
Xu, Y.
Yanez, J. P.
Yoshida, S.
Yu, S.
Yuan, T.
Zhang, Z.
Sources of astrophysical neutrinos can potentially be discovered through the detection of neutrinos in coincidence with electromagnetic or gravitational waves. Real-time alerts generated by IceCube play an important role in this search, acting as triggers for follow-up observations with instruments sensitive to other wavelengths. Once a high-energy event is detected by the IceCube real-time program, a complex and time consuming direction reconstruction method is run in order to calculate an accurate localisation. To investigate the effect of systematic uncertainties on the uncertainty estimate of the location, we simulate a set of high-energy events with a wide range of directions for different ice model realisations, the dominant systematic error in our localization uncertainty. This makes use of a novel simulation tool, which allows the treatment of systematic uncertainties with multiple continuously varied nuisance parameters. These events will be reconstructed using various reconstruction methods. This study will enable us to include systematic uncertainties in a robust manner in the real-time direction and error estimates.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503987
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145008804
info:eu-repo/semantics/altIdentifier/wos/WOS:001081844903003
eng
eng
ispartofbook:Proceedings of Science
37th International Cosmic Ray Conference, ICRC 2021
volume:395
journal:POS PROCEEDINGS OF SCIENCE
Sissa Medialab Srl
oai:www.research.unipd.it:11577/34712002024-03-13T04:58:13Zcom_11577_3160576com_11577_3160572col_11577_3160551
The Influence of Environmental Factors on the Spread of COVID-19 in Italy
Loreggia Andrea
Passarelli Anna
Pini Maria Silvia
Loreggia, Andrea
Passarelli, Anna
Pini, MARIA SILVIA
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3471200
10.1016/j.procs.2022.09.112
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85143336425
eng
ispartofbook:Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 26th International Conference KES-2022, Verona, Italy and Virtual Event, 7-9 September 2022
26th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, KES 2022
volume:207 Procedia Computer Science
firstpage:573
lastpage:582
numberofpages:10
Elsevier
oai:www.research.unipd.it:11577/35038692024-01-19T00:05:42Zcom_11577_3160576com_11577_3160572col_11577_3160551
Cross-calibration and combined analysis of the CTA-LST prototype and the MAGIC telescopes
Ohtani Y.
Berti A.
Depaoli D.
Di Pierro F.
Green D.
Heckmann L.
Hutten M.
Inada T.
Lopez-Coto R.
Medina E.
Moralejo A.
Morcuende D.
Pirola G.
Strzys M.
Suda Y.
Vovk I.
Abe H.
Aguasca A.
Agudo I.
Antonelli L. A.
Aramo C.
Armstrong T.
Artero M.
Asano K.
Ashkar H.
Aubert P.
Baktash A.
Bamba A.
Baquero Larriva A.
Baroncelli L.
Barres de Almeida U.
Barrio J. A.
Batkovic I.
Becerra Gonzalez J.
Bernardos M. I.
Biederbeck N.
Bigongiari C.
Blanch O.
Bonnoli G.
Bordas P.
Bose D.
Bulgarelli A.
Burelli I.
Buscemi M.
Cardillo M.
Caroff S.
Carosi A.
Cassol F.
Cerruti M.
Chai Y.
Cheng K.
Chikawa M.
Chytka L.
Contreras J. L.
Cortina J.
Costantini H.
Dalchenko M.
De Angelis A.
de Bony de Lavergne M.
Deleglise G.
Delgado C.
Delgado Mengual J.
della Volpe D.
Di Venere L.
Diaz C.
Dominik R. M.
Dominis Prester D.
Donini A.
Dorner D.
Doro M.
Elsasser D.
Emery G.
Escudero J.
Fiasson A.
Foffano L.
Fonseca M. V.
Freixas Coromina L.
Fukami S.
Fukazawa Y.
Garcia E.
Garcia Lopez R.
Giglietto N.
Giordano F.
Gliwny P.
Godinovic N.
Grespan P.
Gunji S.
Hackfeld J.
Hadasch D.
Hahn A.
Hassan T.
Hayashi K.
Heller M.
Herrera Llorente J.
Hirotani K.
Hoffmann D.
Horns D.
Houles J.
Hrabovsky M.
Hrupec D.
Hui D.
Inome Y.
Iori M.
Ishio K.
Iwamura Y.
Jacquemont M.
Jimenez Martinez I.
Jouvin L.
Jurysek J.
Kagaya M.
Karas V.
Katagiri H.
Kataoka J.
Kerszberg D.
Kobayashi Y.
Kong A.
Kubo H.
Kushida J.
Lamanna G.
Lamastra A.
Le Flour T.
Longo F.
Lopez-Moya M.
Lopez-Oramas A.
Luque-Escamilla P. L.
Majumdar P.
Makariev M.
Mandat D.
Manganaro M.
Mannheim K.
Mariotti M.
Marquez P.
Marsella G.
Marti J.
Martinez O.
Martinez G.
Martinez M.
Marusevec P.
Mas A.
Maurin G.
Mazin D.
Mestre Guillen E.
Micanovic S.
Miceli D.
Miener T.
Miranda J. M.
Miranda L. D. M.
Mirzoyan R.
Mizuno T.
Molina E.
Montaruli T.
Monteiro I.
Moretti E.
Morselli A.
Mrakovcic K.
Murase K.
Nagai A.
Nakamori T.
Nickel L.
Nieto D.
Nievas M.
Nishijima K.
Noda K.
Nosek D.
Nothe M.
Nozaki S.
Ohishi M.
Oka T.
Okazaki N.
Okumura A.
Orito R.
Otero-Santos J.
Palatiello M.
Paneque D.
Paoletti R.
Paredes J. M.
Pavletic L.
Pech M.
Pecimotika M.
Poireau V.
Polo M.
Prandini E.
Prast J.
Priyadarshi C.
Prouza M.
Rando R.
Rhode W.
Ribo M.
Rizi V.
Rugliancich A.
Ruiz J. E.
Saito T.
Sakurai S.
Sanchez D. A.
Saric T.
Saturni F. G.
Scherpenberg J.
Schleicher B.
Schubert J. L.
Schussler F.
Schweizer T.
Seglar Arroyo M.
Shellard R. C.
Sitarek J.
Sliusar V.
Spolon A.
Striskovic J.
Sunada Y.
Tajima H.
Takahashi M.
Takahashi H.
Takata J.
Takeishi R.
Tam P. H. T.
Tanaka S. J.
Tateishi D.
Tejedor L. A.
Temnikov P.
Terada Y.
Terzic T.
Teshima M.
Tluczykont M.
Tokanai F.
Torres D. F.
Travnicek P.
Truzzi S.
Vacula M.
Vazquez Acosta M.
Verguilov V.
Verna G.
Viale I.
Vigorito C. F.
Vitale V.
Vuillaume T.
Walter R.
Will M.
Yamamoto T.
Yamazaki R.
Yoshida T.
Yoshikoshi T.
Zaric D.
Acciari V. A.
Ansoldi S.
Arbet Engels A.
Baack D.
Babic A.
Baquero A.
Bednarek W.
Bellizzi L.
Bernardini E.
Bernardos M.
Besenrieder J.
Bhattacharyya W.
Biland A.
Bokenkamp H.
Bosnjak Z.
Busetto G.
Carosi R.
Ceribella G.
Chilingarian A.
Cikota S.
Colak S. M.
Colombo E.
Covino S.
D'Amico G.
D'Elia V.
Da Vela P.
Dazzi F.
De Lotto B.
Delfino M.
Delgado J.
Delgado Mendez C.
Do Souto Espineira E.
Fallah Ramazani V.
Fattorini A.
Font L.
Fruck C.
Garcia Lopez R. J.
Garczarczyk M.
Gasparyan S.
Gaug M.
Green J. G.
Herrera J.
Hoang J.
Jimenez Martinez I.
Jormanainen J.
Karjalainen M.
Lelas D.
Leone F.
Lindfors E.
Linhoff L.
Lombardi S.
Loporchio S.
Machado de Oliveira Fraga B.
Maggio C.
Mallamaci M.
Maneva G.
Maraschi L.
Menchiari S.
Mender S.
Moreno V.
Neustroev V.
Nigro C.
Nilsson K.
Paiano S.
Penil P.
Persic M.
Pihet M.
Prada Moroni P. G.
Puljak I.
Rico J.
Righi C.
Sahakyan N.
Satalecka K.
Schmidt K.
Snidaric I.
Sobczynska D.
Stamerra A.
Strom D.
Suric T.
Tavecchio F.
Tosti L.
Tutone A.
Ubach S.
van Scherpenberg J.
Vanzo G.
Ventura S.
Wunderlich C.
Ohtani, Y.
Berti, A.
Depaoli, D.
Di Pierro, F.
Green, D.
Heckmann, L.
Hutten, M.
Inada, T.
Lopez-Coto, R.
Medina, E.
Moralejo, A.
Morcuende, D.
Pirola, G.
Strzys, M.
Suda, Y.
Vovk, I.
Abe, H.
Aguasca, A.
Agudo, I.
Antonelli, L. A.
Aramo, C.
Armstrong, T.
Artero, M.
Asano, K.
Ashkar, H.
Aubert, P.
Baktash, A.
Bamba, A.
Baquero Larriva, A.
Baroncelli, L.
Barres de Almeida, U.
Barrio, J. A.
Batkovic, I.
Becerra Gonzalez, J.
Bernardos, M. I.
Biederbeck, N.
Bigongiari, C.
Blanch, O.
Bonnoli, G.
Bordas, P.
Bose, D.
Bulgarelli, A.
Burelli, I.
Buscemi, M.
Cardillo, M.
Caroff, S.
Carosi, A.
Cassol, F.
Cerruti, M.
Chai, Y.
Cheng, K.
Chikawa, M.
Chytka, L.
Contreras, J. L.
Cortina, J.
Costantini, H.
Dalchenko, M.
De Angelis, A.
de Bony de Lavergne, M.
Deleglise, G.
Delgado, C.
Delgado Mengual, J.
della Volpe, D.
Di Venere, L.
Diaz, C.
Dominik, R. M.
Dominis Prester, D.
Donini, A.
Dorner, D.
Doro, M.
Elsasser, D.
Emery, G.
Escudero, J.
Fiasson, A.
Foffano, L.
Fonseca, M. V.
Freixas Coromina, L.
Fukami, S.
Fukazawa, Y.
Garcia, E.
Garcia Lopez, R.
Giglietto, N.
Giordano, F.
Gliwny, P.
Godinovic, N.
Grespan, P.
Gunji, S.
Hackfeld, J.
Hadasch, D.
Hahn, A.
Hassan, T.
Hayashi, K.
Heller, M.
Herrera Llorente, J.
Hirotani, K.
Hoffmann, D.
Horns, D.
Houles, J.
Hrabovsky, M.
Hrupec, D.
Hui, D.
Inome, Y.
Iori, M.
Ishio, K.
Iwamura, Y.
Jacquemont, M.
Jimenez Martinez, I.
Jouvin, L.
Jurysek, J.
Kagaya, M.
Karas, V.
Katagiri, H.
Kataoka, J.
Kerszberg, D.
Kobayashi, Y.
Kong, A.
Kubo, H.
Kushida, J.
Lamanna, G.
Lamastra, A.
Le Flour, T.
Longo, F.
Lopez-Moya, M.
Lopez-Oramas, A.
Luque-Escamilla, P. L.
Majumdar, P.
Makariev, M.
Mandat, D.
Manganaro, M.
Mannheim, K.
Mariotti, M.
Marquez, P.
Marsella, G.
Marti, J.
Martinez, O.
Martinez, G.
Martinez, M.
Marusevec, P.
Mas, A.
Maurin, G.
Mazin, D.
Mestre Guillen, E.
Micanovic, S.
Miceli, D.
Miener, T.
Miranda, J. M.
Miranda, L. D. M.
Mirzoyan, R.
Mizuno, T.
Molina, E.
Montaruli, T.
Monteiro, I.
Moretti, E.
Morselli, A.
Mrakovcic, K.
Murase, K.
Nagai, A.
Nakamori, T.
Nickel, L.
Nieto, D.
Nievas, M.
Nishijima, K.
Noda, K.
Nosek, D.
Nothe, M.
Nozaki, S.
Ohishi, M.
Oka, T.
Okazaki, N.
Okumura, A.
Orito, R.
Otero-Santos, J.
Palatiello, M.
Paneque, D.
Paoletti, R.
Paredes, J. M.
Pavletic, L.
Pech, M.
Pecimotika, M.
Poireau, V.
Polo, M.
Prandini, E.
Prast, J.
Priyadarshi, C.
Prouza, M.
Rando, R.
Rhode, W.
Ribo, M.
Rizi, V.
Rugliancich, A.
Ruiz, J. E.
Saito, T.
Sakurai, S.
Sanchez, D. A.
Saric, T.
Saturni, F. G.
Scherpenberg, J.
Schleicher, B.
Schubert, J. L.
Schussler, F.
Schweizer, T.
Seglar Arroyo, M.
Shellard, R. C.
Sitarek, J.
Sliusar, V.
Spolon, A.
Striskovic, J.
Sunada, Y.
Tajima, H.
Takahashi, M.
Takahashi, H.
Takata, J.
Takeishi, R.
Tam, P. H. T.
Tanaka, S. J.
Tateishi, D.
Tejedor, L. A.
Temnikov, P.
Terada, Y.
Terzic, T.
Teshima, M.
Tluczykont, M.
Tokanai, F.
Torres, D. F.
Travnicek, P.
Truzzi, S.
Vacula, M.
Vazquez Acosta, M.
Verguilov, V.
Verna, G.
Viale, I.
Vigorito, C. F.
Vitale, V.
Vuillaume, T.
Walter, R.
Will, M.
Yamamoto, T.
Yamazaki, R.
Yoshida, T.
Yoshikoshi, T.
Zaric, D.
Acciari, V. A.
Ansoldi, S.
Arbet Engels, A.
Baack, D.
Babic, A.
Baquero, A.
Bednarek, W.
Bellizzi, L.
Bernardini, E.
Bernardos, M.
Besenrieder, J.
Bhattacharyya, W.
Biland, A.
Bokenkamp, H.
Bosnjak, Z.
Busetto, G.
Carosi, R.
Ceribella, G.
Chilingarian, A.
Cikota, S.
Colak, S. M.
Colombo, E.
Covino, S.
D'Amico, G.
D'Elia, V.
Da Vela, P.
Dazzi, F.
De Lotto, B.
Delfino, M.
Delgado, J.
Delgado Mendez, C.
Do Souto Espineira, E.
Fallah Ramazani, V.
Fattorini, A.
Font, L.
Fruck, C.
Garcia Lopez, R. J.
Garczarczyk, M.
Gasparyan, S.
Gaug, M.
Green, J. G.
Herrera, J.
Hoang, J.
Jimenez Martinez, I.
Jormanainen, J.
Karjalainen, M.
Lelas, D.
Leone, F.
Lindfors, E.
Linhoff, L.
Lombardi, S.
Loporchio, S.
Machado de Oliveira Fraga, B.
Maggio, C.
Mallamaci, M.
Maneva, G.
Maraschi, L.
Menchiari, S.
Mender, S.
Moreno, V.
Neustroev, V.
Nigro, C.
Nilsson, K.
Paiano, S.
Penil, P.
Persic, M.
Pihet, M.
Prada Moroni, P. G.
Puljak, I.
Rico, J.
Righi, C.
Sahakyan, N.
Satalecka, K.
Schmidt, K.
Snidaric, I.
Sobczynska, D.
Stamerra, A.
Strom, D.
Suric, T.
Tavecchio, F.
Tosti, L.
Tutone, A.
Ubach, S.
van Scherpenberg, J.
Vanzo, G.
Ventura, S.
Wunderlich, C.
The Cherenkov Telescope Array (CTA) will be the next generation gamma-ray observatory, which will consist of three kinds of telescopes of different sizes. Among those, the Large Size Telescope (LST) will be the most sensitive in the low energy range starting from 20 GeV. The prototype LST (LST-1) proposed for CTA was inaugurated in October 2018 in the northern hemisphere site, La Palma (Spain), and is currently in its commissioning phase. MAGIC is a system of two gamma-ray Cherenkov telescopes of the current generation, located approximately 100 m away from LST-1, that have been operating in stereoscopic mode since 2009. Since LST-1 and MAGIC can observe the same air shower events, we can compare the brightness of showers, estimated energies of gamma rays, and other parameters event by event, which can be used to cross-calibrate the telescopes. Ultimately, by performing combined analyses of the events triggering the three telescopes, we can reconstruct the shower geometry more accurately, leading to better energy and angular resolutions, and a better discrimination of the background showers initiated by cosmic rays. For that purpose, as part of the commissioning of LST-1, we performed joint observations of established gamma-ray sources with LST-1 and MAGIC. Also, we have developed Monte Carlo simulations for such joint observations and an analysis pipeline which finds event coincidence in the offline analysis based on their timestamps. In this work, we present the first detection of an astronomical source, the Crab Nebula, with combined observation of LST-1 and MAGIC. Moreover, we show results of the inter-telescope cross-calibration obtained using Crab Nebula data taken during joint observations with LST-1 and MAGIC.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503869
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145432359
info:eu-repo/semantics/altIdentifier/wos/WOS:001081844900043
eng
eng
ispartofbook:Proceedings of Science
37th International Cosmic Ray Conference, ICRC 2021
volume:395
journal:POS PROCEEDINGS OF SCIENCE
Sissa Medialab Srl
oai:www.research.unipd.it:11577/34569392024-03-23T20:39:22Zcom_11577_3160576com_11577_3160572col_11577_3160551
Phebus UV spectrometer on board esa-bepicolombo mission: Instrument design & performance results
J. -F. Mariscal
N. Rouanet
J. -L. Maria
B. Lustrement
E. Bertran
C. Montaron
G. Guignan
A. Reberac
E. Quemerais
P. Zuppella
M. G. Pelizzo
A. J. Corso
I. Yoshikawa
K. Yoshioka
G. Murakami
Karafolas, Nikos
Mariscal, J. -F.
Rouanet, N.
Maria, J. -L.
Lustrement, B.
Bertran, E.
Montaron, C.
Guignan, G.
Reberac, A.
Quemerais, E.
Zuppella, P.
Pelizzo, M. G.
Corso, A. J.
Yoshikawa, I.
Yoshioka, K.
Murakami, G.
BepiColombo
Calibration
Exosphere
Mercury
PHEBUS
Spectroscopy
Ultraviolet
BepiColombo, a cornerstone mission of European Space Agency (ESA) in cooperation with the Japan Aerospace Exploration Agency (JAXA), will explore Mercury the planet closest to the Sun. This first European mission toward Mercury will be launched in October 2018 from the Guiana Space Centre, on a journey lasting up to six and a half years. The data that will be brought back from the two orbiters will tell us about Mercury's surface, the atmospheric composition, and the magnetospheric dynamics; it will also contribute to understanding the history and formation of terrestrial planets. Probing of Hermean Exosphere by Ultraviolet Spectroscopy (PHEBUS) is a double spectrometer that will be flown on the Mercury Planetary Orbiter (MPO) one of the two BepiColombo orbiters. This French-led instrument was developed with the purpose of detecting emission lines from Mercury's exosphere to reveal its composition and distribution, in the wide UV range 55 nm-315 nm and by recording full spectra. In this paper, we present the instrument design by focusing on the optical subsystems and giving a technical feedback of the major challenges we had to face. We also introduce the calibration philosophy and the main performance results of the instrument.
2018
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3456939
10.1117/12.2536020
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85072654681
info:eu-repo/semantics/altIdentifier/isbn/9781510630772
info:eu-repo/semantics/altIdentifier/isbn/9781510630789
info:eu-repo/semantics/altIdentifier/wos/WOS:000512543801007
eng
ispartofbook:Proceedings of SPIE - The International Society for Optical Engineering
International Conference on Space Optics, ICSO 2018
volume:11180
firstpage:100
serie:PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
alleditors:Karafolas, Nikos
SPIE
oai:www.research.unipd.it:11577/34564682024-03-23T04:55:52Zcom_11577_3160576com_11577_3160572col_11577_3160551
Findings on thickening Glauber’s salt
Lukas MÜLLER
Dario GUARDA
Janine LEIGGENER
Adrian MÜLLER
Simon MARANDA
Anastasia STAMATIOU
Jörg WORLITSCHEK
Müller, Luka
Guarda, Dario
Leiggener, Janine
Müller, Adrian
Maranda, Simon
Stamatiou, Anastasia
Worlitschek, Jörg
phase change materials, salt hydrates, segregation, phase change stability
Glauber’s salt (sodium sulfate decahydrate, SSD) has long drawn attention as a Phase Change Material (PCM) for latent heat storages because of its high enthalpy of fusion, density and melting point, suitable for space heating. Unfortunately, Glauber’s salt exhibits several drawbacks such as supercooling and phase segregation after repeated cycles, the latter being responsible for its limited long-term stability. This work shows the attempts on thickening Glauber’s salt in order to overcome the separation tendency of inherent solid particles due to the limited solubility of sodium sulfate in the water of crystallization. Different thickening/gelling agents and combinations thereof have been applied and evaluated. The long-term stability was assessed through thermal cycling and optical evaluation of the samples. Thermo-physical properties were measured through Differential Scanning Calorimetry (DSC) allowing to estimate the degradation of enthalpy through addition of thickeners. Suitability of different thickeners with regard to effectiveness and conservation of thermo-physical properties are discussed.
2021
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3456468
10.18462/iir.pcm.2021.1910
info:eu-repo/semantics/altIdentifier/wos/WOS:000855150400005
eng
ispartofbook:Proceedings of the 13th IIR Conference on Phase-Change Materials and Slurries for Refrigeration and Air Conditioning
13th IIR Conference on Phase-Change Materials and Slurries for Refrigeration and Air Conditioning
ELETTRONICO
oai:www.research.unipd.it:11577/34567692023-03-04T06:38:57Zcom_11577_3160576com_11577_3160572col_11577_3160551
Design and characterization of the damage induced by irradiation in optical coatings for space applications
Giovanni Santi
Giulio Favaro
Alain J. Corso
Dominic Doyle
Maria G. Pelizzo
Hallibert, Pascal
Santi, GIOVANNI LUCA
Favaro, Giulio
Corso, Alain J.
Doyle, Dominic
Pelizzo, Maria G.
Dielectric
Fluence
Interface
Ion implantation
Metal
Optical coating
Space environment
A systematic characterization of dielectric coatings for space application is carried out to evaluate the performance drop upon protons exposure. Different energy levels and fluence values are tested. Also, since the irradiation experiments are performed in large scale facilities, different flux rates are tested to establish the operational parameters that better mimic the real irradiation conditions. The induced damage associated with each irradiation session is characterized for a selection of single and bi-layer coatings. Results show that the performance drop is highly dependent on the fluence and the implantation energy.
2021
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3456769
10.1117/12.2594510
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85117119409
info:eu-repo/semantics/altIdentifier/isbn/9781510644786
info:eu-repo/semantics/altIdentifier/isbn/9781510644793
info:eu-repo/semantics/altIdentifier/wos/WOS:000777990900017
eng
ispartofbook:Proceedings of SPIE - The International Society for Optical Engineering
Astronomical Optics: Design, Manufacture, and Test of Space and Ground Systems III 2021
volume:11820
firstpage:23
serie:PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
alleditors:Hallibert, Pascal
SPIE
oai:www.research.unipd.it:11577/35064292024-02-27T12:47:33Zcom_11577_3160576com_11577_3160572col_11577_3160551
On the performance of PMAREL and REL Synchronous Motor Prototypes with Printed Rotor
Michieletto, Daniele
Alberti, Luigi
Michieletto, Daniele
Alberti, Luigi
This paper deals with the analysis and comparison between the performance of a Synchronous Reluctance (SynRel) motor and a Permanent Magnet Assisted Synchronous Reluctance (PMARel) motor, whose rotors have been realized using an Additive Manufacturing process named Laser Powder Bed Fusion. After a preliminary analysis and comparison of the two rotor configurations, the two solutions have been realized and tested to verify their actual performance.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3506429
10.1109/ECCE53617.2023.10362481
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85182935485
info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-1644-5
eng
eng
ispartofbook:proceedings of 2023 IEEE Energy Conversion Congress and Exposition
IEEE Energy Conversion Congress and Exposition
lastpage:3958
oai:www.research.unipd.it:11577/35011052024-03-22T05:58:53Zcom_11577_3160576com_11577_3160572col_11577_3160551
CONSUMER ATTITUDES AND GREEN SCEPTICISM TOWARDS ENERGY-EFFICIENT HOUSEHOLD APPLIANCES: FINDINGS FROM A PRELIMINARY STUDY
Pernice, Gabriella Francesca Amalia
Orso, Valeria
Gamberini, Luciano
Pernice, Gabriella Francesca Amalia
Orso, Valeria
Gamberini, Luciano
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3501105
eng
ispartofbook:11th International Conference on Sustainability, Technology and Education 2023
11th International Conference on Sustainability, Technology and Education 2023
oai:www.research.unipd.it:11577/34628232023-02-15T13:20:30Zcom_11577_3160576com_11577_3160572col_11577_3160551
A Low Memory Footprint Quantized Neural Network for Depth Completion of Very Sparse Time-of-Flight Depth Maps
Jiang X.
Cambareri V.
Agresti G.
Ugwu C. I.
Simonetto A.
Cardinaux F.
Zanuttigh P.
Jiang, X.
Cambareri, V.
Agresti, G.
Ugwu, C. I.
Simonetto, A.
Cardinaux, F.
Zanuttigh, P.
Sparse active illumination enables precise time-of-flight depth sensing as it maximizes signal-to-noise ratio for low power budgets. However, depth completion is required to produce dense depth maps for 3D perception. We address this task with realistic illumination and sensor resolution constraints by simulating ToF datasets for indoor 3D perception with challenging sparsity levels. We propose a quantized convolutional encoder-decoder network for this task. Our model achieves optimal depth map quality by means of input pre-processing and carefully tuned training with a geometry-preserving loss function. We also achieve low memory footprint for weights and activations by means of mixed precision quantization-at-training techniques. The resulting quantized models are comparable to the state of the art in terms of quality, but they require very low GPU times and achieve up to 14-fold memory size reduction for the weights w.r.t. their floating point counterpart with minimal impact on quality metrics.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3462823
10.1109/CVPRW56347.2022.00302
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85137760455
info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-8739-9
info:eu-repo/semantics/altIdentifier/wos/WOS:000861612702095
eng
ispartofbook:IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2022
volume:2022-
firstpage:2686
lastpage:2695
numberofpages:10
serie:IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION WORKSHOPS
IEEE Computer Society
oai:www.research.unipd.it:11577/34691232024-03-23T03:28:37Zcom_11577_3160576com_11577_3160572col_11577_3160551
Feasibility of crack monitoring in a road tunnel based on a low cost plastic optical fiber sensor
Schenato L.
Bossi G.
Marcato G.
Dwivedi S.
Janse-Van Vuuren D.
Ahlstedt M.
Pasuto A.
Kalinowski, Hypolito J.
Schenato, L.
Bossi, G.
Marcato, G.
Dwivedi, S.
Janse-Van Vuuren, D.
Ahlstedt, M.
Pasuto, A.
Crack monitoring
Plastic optical fiber
RF modulation
In this work, a low cost optical fiber sensing system for cracks growth monitoring in the concrete lining of a road tunnel is presented. A plastic optical fiber (POF), with large dynamic strain range, is used for sensing by means of phase measurement of a RF modulated optical signal. Preliminary results suggest that the system represents a viable solution to the aim of crack monitoring.
2015
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3469123
10.1117/12.2193588
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84946141148
info:eu-repo/semantics/altIdentifier/wos/WOS:000363281800273
eng
ispartofbook:Proceedings of SPIE - The International Society for Optical Engineering
24th International Conference on Optical Fibre Sensors, OFS 2015
volume:9634
firstpage:963482
serie:PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
alleditors:Kalinowski, Hypolito J.
SPIE
oai:www.research.unipd.it:11577/34709362023-04-20T11:04:25Zcom_11577_3160576com_11577_3160572col_11577_3160551
Decision Making via Game Theory for Autonomous Vehicles in the Presence of a Moving Obstacle
Vicini M.
Albut S.
Gindullina E.
Badia L.
Vicini, M.
Albut, S.
Gindullina, E.
Badia, L.
autonomous driving
Game theory
risk reduction
safety-critical application
self driving car
smart cities
We consider an emergency maneuver scenario involving two autonomous vehicles interacting with a road obstacle characterized by a random behavior. We employ game theory to solve the resulting problems, first framing a static game of compete information, and further adding incomplete information about the obstacle so as to transform it into a Bayesian game. Depending on the considered scenario, the autonomous vehicles can have multiple available actions, such as to stay at the same lane and swerve and move to another one. These actions can lead to different outcomes, such as keep driving on an empty lane, hit the obstacle, or hit another car. We analyse the Nash equilibria of the game and test the hypothesis that the knowledge of one vehicle about an obstacle can be advantageous to other road participants, which is key in the context of connected vehicles.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3470936
10.1109/COMNETSAT56033.2022.9994415
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85146643920
info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-6030-9
eng
ispartofbook:Proceeding - IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
11th IEEE International Conference on Communication, Networks and Satellite, COMNETSAT 2022
firstpage:393
lastpage:398
numberofpages:6
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/34975202024-02-10T04:46:12Zcom_11577_3160576com_11577_3160572col_11577_3160551
Characterization of the stability for trajectories exterior to Jupiter in the restricted three-body problem via closed-form perturbation theory
Mattia Rossi
Christos Efthymiopoulos
Rossi, Mattia
Efthymiopoulos, Christos
2021
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3497520
10.1017/s1743921321001253
eng
ispartofbook:Symposium S364: Multi-scale (Time and Mass) Dynamics of Space Objects
Multi-scale (Time and Mass) Dynamics of Space Objects
volume:15
firstpage:232
lastpage:238
numberofpages:7
serie:PROCEEDINGS OF THE INTERNATIONAL ASTRONOMICAL UNION
oai:www.research.unipd.it:11577/34550412024-03-20T08:24:07Zcom_11577_3160576com_11577_3160572col_11577_3160551
Vision and laser data fusion for tracking people with a mobile robot
Bellotto, N.
Huosheng Hu
Bellotto, N.
Huosheng, Hu
2006
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3455041
10.1109/ROBIO.2006.340251
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-37049014034
info:eu-repo/semantics/altIdentifier/isbn/1-4244-0570-X
info:eu-repo/semantics/altIdentifier/wos/WOS:000245907300002
eng
ispartofbook:Proceedings of 2006 IEEE International Conference on Robotics and Biomimetics
2006 IEEE International Conference on Robotics and Biomimetics
firstpage:7
lastpage:12
numberofpages:6
oai:www.research.unipd.it:11577/35062442024-02-08T02:41:52Zcom_11577_3160576com_11577_3160572col_11577_3160551
Sulla scrittura epistolare leopardiana
Fabio Magro
Carla Riccardi
Magro, Fabio
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3506244
info:eu-repo/semantics/altIdentifier/isbn/9788868592462
ita
ispartofbook:Verga tra scrittura letteraria e scrittura epistolare
Verga tra scrittura letteraria e scrittura epistolare
firstpage:91
lastpage:100
numberofpages:10
STAMPA
alleditors:Carla Riccardi
Euno Edizioni
oai:www.research.unipd.it:11577/35083042024-02-21T08:21:12Zcom_11577_3160576com_11577_3160572col_11577_3160551
Spazio, luogo, mobilità: sperimentare una didattica creativa con lo smartphone
Chiara Rabbiosi
Alberta Giorgi, Micol Pizzolati, Elena Vacchelli
Rabbiosi, Chiara
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3508304
info:eu-repo/semantics/altIdentifier/isbn/979-12-210-4940-4
https://aisberg.unibg.it/retrieve/d0e48331-b1f1-4102-9265-76d52954d4cc/METODI CREATIVI IN PRATICA. Un laboratorio aperto_ridotto.pdf
ita
ita
ispartofbook:Metodi creativi in pratica. Un laboratorio aperto
Giornate del CREative MEthods Open Lab
firstpage:209
lastpage:217
numberofpages:9
ELETTRONICO
alleditors:Alberta Giorgi, Micol Pizzolati, Elena Vacchelli
Università degli Studi di Bergamo
oai:www.research.unipd.it:11577/34961962023-10-20T00:55:54Zcom_11577_3160576com_11577_3160572col_11577_3160551
Intuitive physical exercise: gender differences and impact on positive body image and intuitive eating
Alice Valdesalici
Giada Carli
Laura Madeleine Bosc
Erika Borella
Marta Ghisi
Valdesalici, Alice
Carli, Giada
Madeleine Bosc, Laura
Borella, Erika
Ghisi, Marta
Practicing physical activity contributes to good health. It is important to regulate the level of physical activity according to what an individual can manage. The intuitive exercise involves listening to one's bodily cues and being aware of the senses while moving to guide decisions on when to start and stop exercise, rather than forcing oneself to adhere to a rigid program (Reel et al., 2016). Practicing physical exercise intuitively can have a positive impact on body image. The aims of the present study are to examine 1) gender differences in intuitive exercise, 2) and the relationship between intuitive exercise, positive body image and intuitive eating in the general population. An online survey composed of questionnaires about intuitive exercise (Intuitive Exercise Scale, IEXS) and positive body image (Functionality Appreciation Scale, FAS; Body Appreciation Scale-2, BAS-2; Intuitive Eating Scale-2, IES2) was administered to 1260 individuals (Mage = 43.6 ± 12.7, range= 20 – 76; þmale= 54.2). Results showed significant gender differences with women scoring higher than men in the IEXS subscales of exercise rigidity (p = .003) and mindful exercise (p = .004). Regression analyses showed that the BAS-2 (R2 adj= .13) and the FAS (R2 adj= .10) scores significantly increased with the increase of IEXS subscales of body trust (respectively, p = .001 and p < .001) and decreased with the increase of exercise rigidity (both ps < .001). Total IES-2 scores (R2 adj= .19) significantly increased with the increase of body trust (p < .001) and decreased with the increase of emotional exercise and exercise rigidity (both ps < .001). It also tested whether intuitive exercise has a different effect on positive body image and intuitive eating depending on gender. No significant interaction was found. These results suggest that women engage in less various exercise protocols, but they are more aware of cues deriving from their body on when to stop exercising compared to men. Moreover, positive body image and adaptive eating styles (i.e., intuitive eating) seem to be promoted by relying on bodily cues to guide one’s own exercise type, frequency, and intensity (i.e., body trust). Conversely, positive body image and intuitive eating are negatively affected by engagement in various exercise protocols and the practice of exercise to manage negative emotions.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3496196
eng
eng
ispartofbook:XXIII National Congress Italian Psychological Association Clinical and Dyamic Section Florence, 15th – 17th September 2023
XXIII National Congress Italian Psychological Association Clinical and Dyamic Section Florence, 15th – 17th September 2023
journal:MEDITERRANEAN JOURNAL OF CLINICAL PSYCHOLOGY
oai:www.research.unipd.it:11577/34686932023-06-21T08:55:14Zcom_11577_3160576com_11577_3160572col_11577_3160551
Backpropagation-free Graph Neural Networks
Pasa L.
Navarin N.
Erb W.
Sperduti A.
Pasa, L.
Navarin, N.
Erb, W.
Sperduti, A.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3468693
10.1109/ICDM54844.2022.00049
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85147729366
info:eu-repo/semantics/altIdentifier/isbn/978-1-6654-5099-7
info:eu-repo/semantics/altIdentifier/wos/WOS:000965045700040
eng
ispartofbook:2022 IEEE International Conference on Data Mining (ICDM)
2022 IEEE International Conference on Data Mining (ICDM)
volume:2022-November
firstpage:388
lastpage:397
numberofpages:10
serie:PROCEEDINGS IEEE INTERNATIONAL CONFERENCE ON DATA MINING
oai:www.research.unipd.it:11577/34543542023-03-28T22:39:28Zcom_11577_3160576com_11577_3160572col_11577_3160551
Modeling the Cooperative Process of Learning a Task
De Pasquale, Giulia
Valcher, Maria Elena
De Pasquale, Giulia
Valcher, Maria Elena
In this paper we propose a mathematical model for a Transactive Memory System (TMS) involved in the cooperative process of learning a task. The model is based on an intertwined dynamics involving both the individuals level of expertise and the interaction network among the cooperators. The model shows that if all the agents are non-stubborn, then all of them are able to acquire the competence of the most expert members of the group, asymptotically reaching their level of proficiency. Conversely, when dealing with all stubborn agents, the capability to pass on the task depends on the connectedness properties of the interaction graph.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3454354
10.23919/ECC55457.2022.9838385
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136627843
info:eu-repo/semantics/altIdentifier/isbn/978-3-9071-4407-7
info:eu-repo/semantics/altIdentifier/wos/WOS:000857432300236
eng
ispartofbook:Proceedings of the 2022 European Control Conference
2022 European Control Conference
firstpage:1696
lastpage:1701
numberofpages:6
oai:www.research.unipd.it:11577/35097332024-03-17T01:08:00Zcom_11577_3160576com_11577_3160572col_11577_3160551
Simulations of satellites mock-up fragmentation
Olivieri L.
Giacomuzzo C.
Francesconi A.
Olivieri, L.
Giacomuzzo, C.
Francesconi, A.
breakup model
fragmentation
Space debris
High energy in-space collisions may lead to the catastrophic fragmentation of entire spacecraft. Current empirical models employed to predict spacecraft breakup are based on ground experiments and observation of debris cloud generated by collision events. Due to the continuous growth of the number of resident objects orbiting the Earth and the risk they pose to operational satellites, in the last years the interest in collecting new test data on spacecraft collisions has increased, as well as the request to improve current breakup models and develop new ones. In this context the University of Padova performed a set of impact simulations, with a custom fragmentation algorithm, on satellites mock-ups consisting of cubic, cylindrical, and parallelepiped shapes with internal boxes representing on-board components. The considered scenarios include several targets and impactors masses and sizes and different impact geometries (in terms of velocity, impact angle and location). Simulations results consist in the generated fragments characteristic length cumulative distributions. It was observed that all distributions show different sections that can be attributed to different damage modes: the smaller fragments are generated by the spacecraft components fragmentation, the intermediate ones by the detached internal boxes, and the largest ones consisting in intact pieces of the spacecraft separated from the main structure. The limits, extent and slope of these sections depend on the impact conditions, the satellite structure and the impact point; a piecewise analytical model is derived for the simulation data, showing a good accordance with the fragments distribution trends.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3509733
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85146841431
eng
eng
ispartofbook:Proceedings of the International Astronautical Congress, IAC
73rd International Astronautical Congress, IAC 2022
volume:2022-
International Astronautical Federation, IAF
oai:www.research.unipd.it:11577/35047872024-01-25T00:38:05Zcom_11577_3160576com_11577_3160572col_11577_3160551
Threshold voltage variation of SiC trench MOSFETs during TDDB stress
Marina Avramenko
Alberto Marcuzzi
Luc De Schepper
Jean-Francois Cano
Filip Geenen
Carlo De Santi
Peter Moens
Matteo Meneghini
Avramenko, Marina
Marcuzzi, Alberto
De Schepper, Luc
Cano, Jean-Francoi
Geenen, Filip
DE SANTI, Carlo
Moens, Peter
Meneghini, Matteo
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3504787
eng
ispartofbook:Proceedings of ICSCRM 2023 (International Conference on Silicon Carbide and Related Materials)
ICSCRM 2023 (International Conference on Silicon Carbide and Related Materials)
STAMPA
oai:www.research.unipd.it:11577/35021762023-12-14T00:25:08Zcom_11577_3160576com_11577_3160572col_11577_3160551
KM Challenges in Small KIBS Companies: Multi-Case Analysis in two Countries
Bolisani E.
Kassaneh T. C.
Lis A.
Scarso E.
Stolarek-Muszynska E.
Zieba M.
Bolisani, E.
Kassaneh, T. C.
Lis, A.
Scarso, E.
Stolarek-Muszynska, E.
Zieba, M.
KIBS
Knowledge management challenge
Multiple case-study
Knowledge Intensive Business Services (KIBS) - i.e. companies like e.g. computer services, consulting, engineering, business communication, and R&D support - are key players in the modern economies. They stimulate the innovativeness of businesses and societies. Their competitiveness is based on knowledge, which is their key production factor and also the kind of “goods” they sell. The large majority of KIBS companies have a small or medium size, which leads to major challenges because they manage their cognitive assets in a substantially informal and undeliberate way. They face several obstacles to managing knowledge, partly due to their limited resources, but also to the knowledge-intensive and intangible nature of their business processes and outputs. Such challenges, when not successfully identified and faced, may negatively impact competitiveness. The paper illustrates the findings of a qualitative investigation aimed at exploring the main KM challenges that KIBS SMEs face. These challenges were analysed with specific reference to the key KM processes, i.e.: knowledge acquisition, knowledge documentation and storage, knowledge sharing, knowledge application, and knowledge protection. The research is a multiple-case study based on interviews to key informants of 23 Italian and Polish KIBS SMEs of different sectors. The analysis made it possible to find recurring issues and highlight differences. The study provides food for thought for researchers and practitioners willing to clarify what KM processes need proper solutions for the effective management of knowledge in small KIBS.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3502176
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85177842863
info:eu-repo/semantics/altIdentifier/isbn/978-1-914587-74-0
eng
eng
ispartofbook:Proceedings of the European Conference on Knowledge Management, ECKM
24th European Conference on Knowledge Management, ECKM 2023
volume:1
firstpage:124
lastpage:131
numberofpages:8
serie:PROCEEDINGS OF THE ... EUROPEAN CONFERENCE ON KNOWLEDGE MANAGEMENT (ONLINE)
ELETTRONICO
Academic Conferences and Publishing International Limited
oai:www.research.unipd.it:11577/34553192024-03-16T22:09:36Zcom_11577_3160576com_11577_3160572col_11577_3160551
Analytical Modelling of Transmission and Anchorage Length in Corroded Pre-Tensioned Concrete Elements
Belluco S.
Fabris N.
Faleschini F.
Pellegrino C., Faleschini F., Zanini M.A., Matos J.C., Casas J.R., Strauss A.
Belluco, S.
Fabris, N.
Faleschini, F.
Analytical model
Anchorage length
Corrosion
Pre-stressed concrete
Transmission length
Pre-tensioned concrete (PC) elements are widely used in the construction industry, and the bond between strands and concrete is a key factor to evaluate their behavior. However, bond mechanisms are complex and existing design rules provide simplified formulations, which do not always ensure a good estimate of experimental evidence. Moreover, bond evolves during the service life of PC elements due to long term effects and external actions, that can lead to its deterioration. In this work, corrosion effects on bond of PC elements are analyzed through the development of analytical models, based on the Thick-Walled Cylinder (TWC) theory. New analytical models are presented, to estimate transmission and anchorage length in corroded PC elements.
2022
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3455319
10.1007/978-3-030-91877-4_103
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85121914010
info:eu-repo/semantics/altIdentifier/isbn/978-3-030-91876-7
info:eu-repo/semantics/altIdentifier/isbn/978-3-030-91877-4
eng
ispartofbook:Lecture Notes in Civil Engineering
1st Conference of the European Association on Quality Control of Bridges and Structures, EUROSTRUCT 2021
volume:200
firstpage:903
lastpage:911
numberofpages:9
serie:LECTURE NOTES IN CIVIL ENGINEERING
STAMPA
alleditors:Pellegrino C., Faleschini F., Zanini M.A., Matos J.C., Casas J.R., Strauss A.
Springer Science and Business Media Deutschland GmbH
oai:www.research.unipd.it:11577/35113492024-03-28T04:40:40Zcom_11577_3160576com_11577_3160572col_11577_3160551
Forward Dynamics Estimation from Data-Driven Inverse Dynamics Learning??
Libera, Alberto Dalla
Giacomuzzo, Giulio
Carli, Ruggero
Nikovski, Daniel
Romeres, Diego
Libera, Alberto Dalla
Giacomuzzo, Giulio
Carli, Ruggero
Nikovski, Daniel
Romeres, Diego
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3511349
10.1016/j.ifacol.2023.10.1620
eng
ispartofbook:IFAC-PapersOnLine
22nd IFAC World Congress
volume:56
firstpage:519
lastpage:524
numberofpages:6
serie:IFAC-PAPERSONLINE
oai:www.research.unipd.it:11577/34631532024-03-18T20:51:34Zcom_11577_3160576com_11577_3160572col_11577_3160551
Agro-tourism and ranking
Cioca L. I.
Giurea R.
Precazzini I.
Ragazzi M.
Achim M. I.
Schiavon M.
Rada E. C.
Cioca, L. I.
Giurea, R.
Precazzini, I.
Ragazzi, M.
Achim, M. I.
Schiavon, M.
Rada, E. C.
Nowadays the global tourism growth has caused a significant interest in research focused on the impact of the tourism on environment and community. The purpose of this study is to introduce a new ranking for the classification of tourist accommodation establishments with the functions of agro-tourism boarding house type by examining the sector of agro-tourism based on a research aimed to improve the economic, socio-cultural and environmental performance of agrotourism structures. This paper links the criteria for the classification of agro-tourism boarding houses (ABHs) to the impact of agro-tourism activities on the environment, enhancing an eco-friendly approach on agro-tourism activities by increasing the quality reputation of the agro-tourism products and services. Taking into account the impact on the environment, agrotourism can play an important role by protecting and conserving it.
2018
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3463153
10.1063/1.5039181
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85050736010
http://scitation.aip.org/content/aip/proceeding/aipcp
info:eu-repo/semantics/altIdentifier/wos/WOS:000435275200022
eng
ispartofbook:AIP Conference Proceedings
International Conference on Technologies and Materials for Renewable Energy, Environment and Sustainability, TMREES 2018
volume:1968
firstpage:1
lastpage:6
numberofpages:6
ELETTRONICO
American Institute of Physics Inc.
oai:www.research.unipd.it:11577/34554632023-12-12T00:32:55Zcom_11577_3160576com_11577_3160572col_11577_3160551
Cryogenic Ultra-Fast Bias Temperature Instability Trap Profiling of SiC MOSFETs
Geenen F.
Masin F.
Stockman A.
De Santi C.
Lettens J.
Waldhoer D.
Meneghini M.
Grasser T.
Moens P.
Geenen, F.
Masin, F.
Stockman, A.
De Santi, C.
Lettens, J.
Waldhoer, D.
Meneghini, M.
Grasser, T.
Moens, P.
4H-SiC MOSFET
BTI
modelling
NMP
Silicon carbide
4H-SiC transistors suffer from bias temperature instabilities (BTI) due to traps at, or near, the SiO2/SiC interface. These traps result in low inversion layer mobility of SiC MOSFETs as well as an observed hysteresis of the IdVg transfer characteristic. They are distributed in energy (within the SiO2 bandgap) and location (e.g. interface and border traps). The most challenging traps to assess are those close to the SiC conduction and valence bands, whose time constants can be below the μs-regime at room temperature. These ultra-fast traps have a strong impact on the transistors' functioning and lead for instance to apparent negative temperature activation of threshold voltage drift. Although these traps are too fast for direct experimental assessment at room temperature, we will demonstrate that they can be closely studied at cryogenic temperatures due to their strong temperature-dependent activation. This work provides experimental ultra-fast BTI (uf-BTI) data from 80K up to 300K to monitor the ultra-fast shifts of the threshold voltage, in addition to theoretical trap-profiling which allows for a precise extraction of (a) the energic distribution and (b) the trap location within the SiO2 dielectric.
2022
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3455463
10.1109/ISPSD49238.2022.9813614
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85134272009
info:eu-repo/semantics/altIdentifier/isbn/9781665422017
https://ieeexplore.ieee.org/document/9813614
info:eu-repo/semantics/altIdentifier/wos/WOS:000852896800087
eng
ispartofbook:Proceedings of 2022 IEEE 34th International Symposium on Power Semiconductor Devices and ICs (ISPSD)
34th IEEE International Symposium on Power Semiconductor Devices and ICs, ISPSD 2022
volume:2022-
firstpage:353
lastpage:356
numberofpages:4
serie:PROCEEDINGS OF THE INTERNATIONAL SYMPOSIUM ON POWER SEMICONDUCTOR DEVICES & ICS
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/34707862024-02-25T08:12:22Zcom_11577_3160576com_11577_3160572col_11577_3160551
Validation of Shared Intelligence Approach for Teleoperating Telepresence Robots Through Inaccurate Interfaces
Beraldo G.
Tonin L.
Cesta A.
Menegatti E.
Millán J. d. R.
Beraldo, G.
Tonin, L.
Cesta, A.
Menegatti, E.
Millán, J. d. R.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3470786
10.1007/978-3-031-22216-0_6
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85148700770
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-22215-3
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-22216-0
info:eu-repo/semantics/altIdentifier/wos/WOS:000992458200006
eng
ispartofbook:Lecture Notes in Networks and Systems
International Conference on Intelligent Autonomous Systems 2022
volume:577 LNNS
firstpage:73
lastpage:84
numberofpages:12
serie:LECTURE NOTES IN NETWORKS AND SYSTEMS
oai:www.research.unipd.it:11577/35009822023-12-03T00:04:24Zcom_11577_3160576com_11577_3160572col_11577_3160551
Graph-based Explainable Recommendation Systems: Are We Rigorously Evaluating Explanations? A Position Paper
Andrea Montagna
Alvise De Biasio
Nicolo' Navarin
Fabio Aiolli
Montagna, Andrea
DE BIASIO, Alvise
Navarin, Nicolo'
Aiolli, Fabio
Explainability
Graph Neural Network
Recommender Systems
In recent years, we have witnessed an increase in the amount of published research in the field of Explainable Recommender Systems. These systems are designed to help users find the items of the most interest by providing not only suggestions but also the reasons behind those recommendations. Research has shown that there are many advantages to complementing a recommendation with a convincing explanation. For example, such an explanation can often lead to an increase in user trust, which in turn can improve recommendation effectiveness and system adoption. In particular, for this reason, many research works are studying explainable recommendation algorithms based on graphs, e.g., exploiting knowledge graphs or graph neural networks based methods. The use of graphs is very promising since algorithms can, in principle, combine the benefits of personalization and graph reasoning, thus potentially improving the effectiveness of both recommendations and explanations. However, although graph-based algorithms have been repeatedly shown to bring improvements in terms of ranking quality, not much literature has yet studied how to properly evaluate the quality of the corresponding explanations. In this position paper, we focus on this problem, examining in detail how the explanations of explainable recommenders based on graphs are currently evaluated and discussing how they could be evaluated in the future in a more quantitative and comparable way in compliance with the well-known Explainable Recommender Systems guidelines.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3500982
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85175859452
eng
eng
ispartofbook:CEUR Workshop Proceedings
1st Workshop on User Perspectives in Human-Centred Artificial Intelligence, HCAI4U 2023
volume:3502
numberofpages:13
serie:CEUR WORKSHOP PROCEEDINGS
CEUR-WS
oai:www.research.unipd.it:11577/34635072024-03-10T07:10:49Zcom_11577_3160576com_11577_3160572col_11577_3160551
Riflessioni sullo spazio pubblico. Proposte per la nuova piazza della chiesa di Sant'Antonio da Padova nel borgo di Noventana, Italia
Enrico Pietrogrande
Alessandro Dalla Caneva
Haydee Blanco, Yosbel Boffill, Ignacio Lombillo, Maria Paz Sáez
Pietrogrande, Enrico
DALLA CANEVA, Alessandro
Identity, Memories, Urban Form, Urban Setting, Urban Place
This work concerns Noventana, a village located in the Veneto region, Italy, and it specifically refers to the Church of Saint Anthony of Padua. The idea of restoring the central area of the village where the Church stands has long been the object of discussion on the part of local authorities.
The village of Noventana is one of the subjects recently investigated by our students at the ‘Architectural and Urban Composition 2' course taught on the master’s degree in Architectural Engineering at the Department of Civil, Environmental and Architectural Engineering of the University of Padua. The working method is based on the belief that, in the study of urban morphology, is basic to analyse the history of the city, clarifying the relationship between permanent structures on the one hand and temporary ones on the other. The history becomes an indispensable tool to know the deep reasons of the urban structure which is the memory and the image of the community. The methodology looks at the city as a product of functional systems (political, social, economic), but overall contemplates the urban form as a result of its spatial structure. The life of the urban form is investigated in its physical specificity, the only one able of giving reason of its special nature over every social, economic and political aspect. The centre of the village of Noventana was thought by our students as an opportunity to configure the unity of this symbolic and representative place.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3463507
info:eu-repo/semantics/altIdentifier/isbn/978-84-09-42253-1
ita
ispartofbook:Rehabend 2022. Construction Pathology, Rehabilitation Technology and Heritage Managment
9th Rehabend Euro-American Congress
firstpage:405
lastpage:414
numberofpages:10
info:eu-repo/semantics/closedAccess
ELETTRONICO
alleditors:Haydee Blanco, Yosbel Boffill, Ignacio Lombillo, Maria Paz Sáez
University of Cantabria, University of Granada
oai:www.research.unipd.it:11577/35073202024-02-11T01:09:41Zcom_11577_3160576com_11577_3160572col_11577_3160551
CT-based method to investigate the effects of additive manufacturing process interruption for sensor integration
JAVIER prieto
Filippo Zanini
Simone Carmignato
Prieto, Javier
Zanini, Filippo
Carmignato, Simone
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3507320
eng
ispartofbook:Proceedings of International Conference on Industrial Computed Tomography - iCT 2023
12th Conference on Industrial Computed Tomography - iCT 2023
oai:www.research.unipd.it:11577/35081082024-03-12T16:11:09Zcom_11577_3160576com_11577_3160572col_11577_3160551
An Ontology-Driven Knowledge Extraction Tool for Pathology Record Classification
Menotti L.
Marchesin S.
Silvello G.
Menotti, L.
Marchesin, S.
Silvello, G.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3508108
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85173466724
https://www.dei.unipd.it/~silvello/papers/2023_MMS_SEBD_preprint.pdf
eng
eng
ispartofbook:Proceedings of the 31st Symposium on Advanced Database System, July 02–05, 2023, Galzignano Terme, Padua, Italy
SEBD 2023
volume:3478
firstpage:228
lastpage:238
numberofpages:11
serie:CEUR WORKSHOP PROCEEDINGS
oai:www.research.unipd.it:11577/34582122024-02-11T02:21:22Zcom_11577_3160576com_11577_3160572col_11577_3160551
Design of the Vehicle Cornering Response Based on the Map of Achievable Performance: Preliminary Assessment
Tristano M.
Lenzo B.
Tristano, M.
Lenzo, B.
2022
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3458212
10.1007/978-3-031-07305-2_76
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85136979120
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-07304-5
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-07305-2
eng
ispartofbook:Lecture Notes in Mechanical Engineering
27th Symposium of the International Association of Vehicle System Dynamics, IAVSD 2021
firstpage:817
lastpage:826
numberofpages:10
info:eu-repo/semantics/closedAccess
oai:www.research.unipd.it:11577/35053142024-01-27T00:06:22Zcom_11577_3160576com_11577_3160572col_11577_3160551
ALGOMOVE – A Move Embedding for Algorand
lorenzo benetollo
michele bugliesi
silvia crafa
sabina rossi
alvise spano'
Benetollo, Lorenzo
Bugliesi, Michele
Crafa, Silvia
Rossi, Sabina
Spano', Alvise
As applications based on Distributed Ledger Tech-
nology (DLT) gain popularity, the wide range of vulnerabilities
that have affected existing blockchains (most notably Ethereum
and Solidity-based applications) has motivated renewed interest
in the design of programming languages capable of providing
more adequate abstractions for managing digital assets and their
access control policies. These mechanisms are crucial to certify
that applications are safe and secure before deploying them on
the target blockchains.
Venturing into this challenge, we focus on Move, currently
one of the most promising programming languages for resources
and digital assets management with the aim to investigate its
effectiveness in the realm of general-purpose smart contract
development, and the long-term goal to identify the design
principles and language-based techniques for the safe and secure
development of asset-based DLT applications. As a first step in
that direction, in the present paper, we develop A LGO M OVE ,
a Move embedding on Algorand. In addition to providing
new insight into the nature of digital assets, the embedding
is noteworthy in its own right. It provides Algorand/TEAL
developers with a friendly API that aligns with their familiar
programming patterns, while at the same time leveraging Move’s
mechanisms of static typing and security verification to offer
certified, language-level protection against double spending and
other resource-related pitfalls commonly encountered in DLT
applications
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3505314
10.1109/Blockchain60715.2023.00019
eng
ispartofbook:2023 IEEE International Conference on Blockchain (Blockchain)
2023 IEEE International Conference on Blockchain (Blockchain)
oai:www.research.unipd.it:11577/35038922024-01-19T00:05:45Zcom_11577_3160576com_11577_3160572col_11577_3160551
Gravitational Wave Follow-Up Using Low Energy Neutrinos in IceCube DeepCore
Balagopal A. V.
Hussain R.
Pizzuto A.
Abbasi R.
Ackermann M.
Adams J.
Aguilar J. A.
Ahlers M.
Ahrens M.
Alispach C.
Alves A. A.
Amin N. M.
An R.
Andeen K.
Anderson T.
Anton G.
Arguelles C.
Ashida Y.
Axani S.
Bai X.
Barbano A.
Barwick S. W.
Bastian B.
Basu V.
Baur S.
Bay R.
Beatty J. J.
Becker K. -H.
Becker Tjus J.
Bellenghi C.
BenZvi S.
Berley D.
Bernardini E.
Besson D. Z.
Binder G.
Bindig D.
Blaufuss E.
Blot S.
Boddenberg M.
Bontempo F.
Borowka J.
Boser S.
Botner O.
Bottcher J.
Bourbeau E.
Bradascio F.
Braun J.
Bron S.
Brostean-Kaiser J.
Browne S.
Burgman A.
Burley R. T.
Busse R. S.
Campana M. A.
Carnie-Bronca E. G.
Chen C.
Chirkin D.
Choi K.
Clark B. A.
Clark K.
Classen L.
Coleman A.
Collin G. H.
Conrad J. M.
Coppin P.
Correa P.
Cowen D. F.
Cross R.
Dappen C.
Dave P.
De Clercq C.
DeLaunay J. J.
Dembinski H.
Deoskar K.
De Ridder S.
Desai A.
Desiati P.
de Vries K. D.
de Wasseige G.
de With M.
DeYoung T.
Dharani S.
Diaz A.
Diaz-Velez J. C.
Dittmer M.
Dujmovic H.
Dunkman M.
DuVernois M. A.
Dvorak E.
Ehrhardt T.
Eller P.
Engel R.
Erpenbeck H.
Evans J.
Evenson P. A.
Fan K. L.
Fazely A. R.
Fiedlschuster S.
Fienberg A. T.
Filimonov K.
Finley C.
Fischer L.
Fox D.
Franckowiak A.
Friedman E.
Fritz A.
Furst P.
Gaisser T. K.
Gallagher J.
Ganster E.
Garcia A.
Garrappa S.
Gerhardt L.
Ghadimi A.
Glaser C.
Glauch T.
Glusenkamp T.
Goldschmidt A.
Gonzalez J. G.
Goswami S.
Grant D.
Gregoire T.
Griswold S.
Gunduz M.
Gunther C.
Haack C.
Hallgren A.
Halliday R.
Halve L.
Halzen F.
Ha Minh M.
Hanson K.
Hardin J.
Harnisch A. A.
Haungs A.
Hauser S.
Hebecker D.
Helbing K.
Henningsen F.
Hettinger E. C.
Hickford S.
Hignight J.
Hill C.
Hill G. C.
Hoffman K. D.
Hoinka T.
Hokanson-Fasig B.
Hoshina K.
Huang F.
Huber M.
Huber T.
Hultqvist K.
Hunnefeld M.
Hussain R.
In S.
Iovine N.
Ishihara A.
Jansson M.
Japaridze G. S.
Jeong M.
Jones B. J. P.
Kang D.
Kang W.
Kang X.
Kappes A.
Kappesser D.
Karg T.
Karl M.
Karle A.
Katz U.
Kauer M.
Kellermann M.
Kelley J. L.
Kheirandish A.
Kin K.
Kintscher T.
Kiryluk J.
Klein S. R.
Koirala R.
Kolanoski H.
Kontrimas T.
Kopke L.
Kopper C.
Kopper S.
Koskinen D. J.
Koundal P.
Kovacevich M.
Kowalski M.
Kozynets T.
Kun E.
Kurahashi N.
Lad N.
Lagunas Gualda C.
Lanfranchi J. L.
Larson M. J.
Lauber F.
Lazar J. P.
Lee J. W.
Leonard K.
Leszczynska A.
Li Y.
Lincetto M.
Liu Q. R.
Liubarska M.
Lohfink E.
Lozano Mariscal C. J.
Lu L.
Lucarelli F.
Ludwig A.
Luszczak W.
Lyu Y.
Ma W. Y.
Madsen J.
Mahn K. B. M.
Makino Y.
Mancina S.
Maris I. C.
Maruyama R.
Mase K.
McElroy T.
McNally F.
Mead J. V.
Meagher K.
Medina A.
Meier M.
Meighen-Berger S.
Micallef J.
Mockler D.
Montaruli T.
Moore R. W.
Morse R.
Moulai M.
Naab R.
Nagai R.
Naumann U.
Necker J.
Nguyen L. V.
Niederhausen H.
Nisa M. U.
Nowicki S. C.
Nygren D. R.
Obertacke Pollmann A.
Oehler M.
Olivas A.
O'Sullivan E.
Pandya H.
Pankova D. V.
Park N.
Parker G. K.
Paudel E. N.
Paul L.
Perez de los Heros C.
Peters L.
Peterson J.
Philippen S.
Pieloth D.
Pieper S.
Pittermann M.
Plum M.
Popovych Y.
Porcelli A.
Prado Rodriguez M.
Price P. B.
Pries B.
Przybylski G. T.
Raab C.
Raissi A.
Rameez M.
Rawlins K.
Rea I. C.
Rehman A.
Reichherzer P.
Reimann R.
Renzi G.
Resconi E.
Reusch S.
Rhode W.
Richman M.
Riedel B.
Roberts E. J.
Robertson S.
Roellinghoff G.
Rongen M.
Rott C.
Ruhe T.
Ryckbosch D.
Rysewyk Cantu D.
Safa I.
Saffer J.
Sanchez Herrera S. E.
Sandrock A.
Sandroos J.
Santander M.
Sarkar S.
Sarkar S.
Satalecka K.
Scharf M.
Schaufel M.
Schieler H.
Schindler S.
Schlunder P.
Schmidt T.
Schneider A.
Schneider J.
Schroder F. G.
Schumacher L.
Schwefer G.
Sclafani S.
Seckel D.
Seunarine S.
Sharma A.
Shefali S.
Silva M.
Skrzypek B.
Smithers B.
Snihur R.
Soedingrekso J.
Soldin D.
Spannfellner C.
Spiczak G. M.
Spiering C.
Stachurska J.
Stamatikos M.
Stanev T.
Stein R.
Stettner J.
Steuer A.
Stezelberger T.
Sturwald T.
Stuttard T.
Sullivan G. W.
Taboada I.
Tenholt F.
Ter-Antonyan S.
Tilav S.
Tischbein F.
Tollefson K.
Tomankova L.
Tonnis C.
Toscano S.
Tosi D.
Trettin A.
Tselengidou M.
Tung C. F.
Turcati A.
Turcotte R.
Turley C. F.
Twagirayezu J. P.
Ty B.
Unland Elorrieta M. A.
Valtonen-Mattila N.
Vandenbroucke J.
van Eijndhoven N.
Vannerom D.
van Santen J.
Verpoest S.
Vraeghe M.
Walck C.
Watson T. B.
Weaver C.
Weigel P.
Weindl A.
Weiss M. J.
Weldert J.
Wendt C.
Werthebach J.
Weyrauch M.
Whitehorn N.
Wiebusch C. H.
Williams D. R.
Wolf M.
Woschnagg K.
Wrede G.
Wulff J.
Xu X. W.
Xu Y.
Yanez J. P.
Yoshida S.
Yu S.
Yuan T.
Zhang Z.
Balagopal, A. V.
Hussain, R.
Pizzuto, A.
Abbasi, R.
Ackermann, M.
Adams, J.
Aguilar, J. A.
Ahlers, M.
Ahrens, M.
Alispach, C.
Alves, A. A.
Amin, N. M.
An, R.
Andeen, K.
Anderson, T.
Anton, G.
Arguelles, C.
Ashida, Y.
Axani, S.
Bai, X.
Barbano, A.
Barwick, S. W.
Bastian, B.
Basu, V.
Baur, S.
Bay, R.
Beatty, J. J.
Becker, K. -H.
Becker Tjus, J.
Bellenghi, C.
Benzvi, S.
Berley, D.
Bernardini, E.
Besson, D. Z.
Binder, G.
Bindig, D.
Blaufuss, E.
Blot, S.
Boddenberg, M.
Bontempo, F.
Borowka, J.
Boser, S.
Botner, O.
Bottcher, J.
Bourbeau, E.
Bradascio, F.
Braun, J.
Bron, S.
Brostean-Kaiser, J.
Browne, S.
Burgman, A.
Burley, R. T.
Busse, R. S.
Campana, M. A.
Carnie-Bronca, E. G.
Chen, C.
Chirkin, D.
Choi, K.
Clark, B. A.
Clark, K.
Classen, L.
Coleman, A.
Collin, G. H.
Conrad, J. M.
Coppin, P.
Correa, P.
Cowen, D. F.
Cross, R.
Dappen, C.
Dave, P.
De Clercq, C.
Delaunay, J. J.
Dembinski, H.
Deoskar, K.
De Ridder, S.
Desai, A.
Desiati, P.
de Vries, K. D.
de Wasseige, G.
de With, M.
Deyoung, T.
Dharani, S.
Diaz, A.
Diaz-Velez, J. C.
Dittmer, M.
Dujmovic, H.
Dunkman, M.
Duvernois, M. A.
Dvorak, E.
Ehrhardt, T.
Eller, P.
Engel, R.
Erpenbeck, H.
Evans, J.
Evenson, P. A.
Fan, K. L.
Fazely, A. R.
Fiedlschuster, S.
Fienberg, A. T.
Filimonov, K.
Finley, C.
Fischer, L.
Fox, D.
Franckowiak, A.
Friedman, E.
Fritz, A.
Furst, P.
Gaisser, T. K.
Gallagher, J.
Ganster, E.
Garcia, A.
Garrappa, S.
Gerhardt, L.
Ghadimi, A.
Glaser, C.
Glauch, T.
Glusenkamp, T.
Goldschmidt, A.
Gonzalez, J. G.
Goswami, S.
Grant, D.
Gregoire, T.
Griswold, S.
Gunduz, M.
Gunther, C.
Haack, C.
Hallgren, A.
Halliday, R.
Halve, L.
Halzen, F.
Ha Minh, M.
Hanson, K.
Hardin, J.
Harnisch, A. A.
Haungs, A.
Hauser, S.
Hebecker, D.
Helbing, K.
Henningsen, F.
Hettinger, E. C.
Hickford, S.
Hignight, J.
Hill, C.
Hill, G. C.
Hoffman, K. D.
Hoinka, T.
Hokanson-Fasig, B.
Hoshina, K.
Huang, F.
Huber, M.
Huber, T.
Hultqvist, K.
Hunnefeld, M.
Hussain, R.
In, S.
Iovine, N.
Ishihara, A.
Jansson, M.
Japaridze, G. S.
Jeong, M.
Jones, B. J. P.
Kang, D.
Kang, W.
Kang, X.
Kappes, A.
Kappesser, D.
Karg, T.
Karl, M.
Karle, A.
Katz, U.
Kauer, M.
Kellermann, M.
Kelley, J. L.
Kheirandish, A.
Kin, K.
Kintscher, T.
Kiryluk, J.
Klein, S. R.
Koirala, R.
Kolanoski, H.
Kontrimas, T.
Kopke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Koundal, P.
Kovacevich, M.
Kowalski, M.
Kozynets, T.
Kun, E.
Kurahashi, N.
Lad, N.
Lagunas Gualda, C.
Lanfranchi, J. L.
Larson, M. J.
Lauber, F.
Lazar, J. P.
Lee, J. W.
Leonard, K.
Leszczynska, A.
Li, Y.
Lincetto, M.
Liu, Q. R.
Liubarska, M.
Lohfink, E.
Lozano Mariscal, C. J.
Lu, L.
Lucarelli, F.
Ludwig, A.
Luszczak, W.
Lyu, Y.
Ma, W. Y.
Madsen, J.
Mahn, K. B. M.
Makino, Y.
Mancina, S.
Maris, I. C.
Maruyama, R.
Mase, K.
Mcelroy, T.
Mcnally, F.
Mead, J. V.
Meagher, K.
Medina, A.
Meier, M.
Meighen-Berger, S.
Micallef, J.
Mockler, D.
Montaruli, T.
Moore, R. W.
Morse, R.
Moulai, M.
Naab, R.
Nagai, R.
Naumann, U.
Necker, J.
Nguyen, L. V.
Niederhausen, H.
Nisa, M. U.
Nowicki, S. C.
Nygren, D. R.
Obertacke Pollmann, A.
Oehler, M.
Olivas, A.
O'Sullivan, E.
Pandya, H.
Pankova, D. V.
Park, N.
Parker, G. K.
Paudel, E. N.
Paul, L.
Perez de los Heros, C.
Peters, L.
Peterson, J.
Philippen, S.
Pieloth, D.
Pieper, S.
Pittermann, M.
Plum, M.
Popovych, Y.
Porcelli, A.
Prado Rodriguez, M.
Price, P. B.
Pries, B.
Przybylski, G. T.
Raab, C.
Raissi, A.
Rameez, M.
Rawlins, K.
Rea, I. C.
Rehman, A.
Reichherzer, P.
Reimann, R.
Renzi, G.
Resconi, E.
Reusch, S.
Rhode, W.
Richman, M.
Riedel, B.
Roberts, E. J.
Robertson, S.
Roellinghoff, G.
Rongen, M.
Rott, C.
Ruhe, T.
Ryckbosch, D.
Rysewyk Cantu, D.
Safa, I.
Saffer, J.
Sanchez Herrera, S. E.
Sandrock, A.
Sandroos, J.
Santander, M.
Sarkar, S.
Sarkar, S.
Satalecka, K.
Scharf, M.
Schaufel, M.
Schieler, H.
Schindler, S.
Schlunder, P.
Schmidt, T.
Schneider, A.
Schneider, J.
Schroder, F. G.
Schumacher, L.
Schwefer, G.
Sclafani, S.
Seckel, D.
Seunarine, S.
Sharma, A.
Shefali, S.
Silva, M.
Skrzypek, B.
Smithers, B.
Snihur, R.
Soedingrekso, J.
Soldin, D.
Spannfellner, C.
Spiczak, G. M.
Spiering, C.
Stachurska, J.
Stamatikos, M.
Stanev, T.
Stein, R.
Stettner, J.
Steuer, A.
Stezelberger, T.
Sturwald, T.
Stuttard, T.
Sullivan, G. W.
Taboada, I.
Tenholt, F.
Ter-Antonyan, S.
Tilav, S.
Tischbein, F.
Tollefson, K.
Tomankova, L.
Tonnis, C.
Toscano, S.
Tosi, D.
Trettin, A.
Tselengidou, M.
Tung, C. F.
Turcati, A.
Turcotte, R.
Turley, C. F.
Twagirayezu, J. P.
Ty, B.
Unland Elorrieta, M. A.
Valtonen-Mattila, N.
Vandenbroucke, J.
van Eijndhoven, N.
Vannerom, D.
van Santen, J.
Verpoest, S.
Vraeghe, M.
Walck, C.
Watson, T. B.
Weaver, C.
Weigel, P.
Weindl, A.
Weiss, M. J.
Weldert, J.
Wendt, C.
Werthebach, J.
Weyrauch, M.
Whitehorn, N.
Wiebusch, C. H.
Williams, D. R.
Wolf, M.
Woschnagg, K.
Wrede, G.
Wulff, J.
Xu, X. W.
Xu, Y.
Yanez, J. P.
Yoshida, S.
Yu, S.
Yuan, T.
Zhang, Z.
The IceCube DeepCore is a dense infill array of the IceCube Neutrino Observatory at the South Pole. While IceCube is best suited for detecting neutrinos with energies of several 100 GeV and above, DeepCore allows to probe neutrinos with lower energies. We focus on a sample of neutrinos with energies above approximately 10 GeV, which was originally optimised for oscillation experiments. Recently, it has been adapted to enable searches for transient sources of astrophysical neutrinos in the sky. In particular, this low-energy dataset can be used to conduct follow-up searches of gravitational wave transients detected by the LIGO-Virgo instruments. A study of this, which complements IceCube's follow-up of gravitational wave events using high-energy neutrino samples, will be discussed here.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503892
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145008501
info:eu-repo/semantics/altIdentifier/wos/WOS:001081844902021
eng
eng
ispartofbook:Proceedings of Science
37th International Cosmic Ray Conference, ICRC 2021
volume:395
journal:POS PROCEEDINGS OF SCIENCE
Sissa Medialab Srl
oai:www.research.unipd.it:11577/34671772024-03-13T01:46:38Zcom_11577_3160576com_11577_3160572col_11577_3160551
An alternative aggregation function for the UNDP Human Development Index
Manuela Scioni
Paola Annoni
Balzanella A, Bini M, Cavicchia C, Verde R
Scioni, Manuela
Annoni, Paola
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3467177
info:eu-repo/semantics/altIdentifier/isbn/9788891932310
eng
eng
ispartofbook:Book of the Short Papers SIS 2022
51st Scientific Meeting of the Italian Statistical Society (SIS 2022)
firstpage:964
lastpage:969
numberofpages:6
ELETTRONICO
alleditors:Balzanella A, Bini M, Cavicchia C, Verde R
Pearson
oai:www.research.unipd.it:11577/35108722024-03-22T05:19:16Zcom_11577_3160576com_11577_3160572col_11577_3160551
Impiego della paglia trattata con ammoniaca nell'alimentazione della manza da rimonta
Bittante G.
Galeazzo M.
Bittante, G.
Galeazzo, M.
1986
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3510872
ita
ispartofbook:Atti Società Italiana Scienze Veterinarie
Convegno SISVET
volume:40
firstpage:546
lastpage:548
numberofpages:3
STAMPA
SISVET
oai:www.research.unipd.it:11577/34939612024-01-13T20:08:57Zcom_11577_3160576com_11577_3160572col_11577_3160551
STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports
Marchiori F.
Conti M.
Verde N. V.
Marchiori, F.
Conti, M.
Verde, N. V.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3493961
10.1145/3600160.3600182
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85169705618
info:eu-repo/semantics/altIdentifier/isbn/9798400707728
eng
ispartofbook:Proceedings of the 18th International Conference on Availability, Reliability and Security (ARES '23)
18th International Conference on Availability, Reliability and Security (ARES '23)
firstpage:1
lastpage:11
numberofpages:11
oai:www.research.unipd.it:11577/34955832024-02-02T01:25:40Zcom_11577_3160576com_11577_3160572col_11577_3160551
Structural Behaviour Assessment of the Anastylosis Reconstruction of the Ruins of Kfar Synagogue in Bar’am (Israel)
Schaffer, Yaacov
Italia, Raffaele
Levi, Aharon
Ronen, Meir
Salvalaggio, Matteo
Valluzzi, Maria Rosa
Mocellini, Marco
Bellin, Sonia
Casarin, Filippo
Endo, Y., Hanazato, T.
Schaffer, Yaacov
Italia, Raffaele
Levi, Aharon
Ronen, Meir
Salvalaggio, Matteo
Valluzzi, Maria Rosa
Mocellini, Marco
Bellin, Sonia
Casarin, Filippo
Anastylosi
Ancient synagogue
Distinct element modeling
Rigid block analysi
Time history analysi
The ruins of the Kfar synagogue are located inside Bar’am National Park, in Northern Israel, near the Lebanon border, once part of an ancient Jewish village inhabited from 200 B.C. to Middle Age. The synagogue dates back to the 3rd century A.D. and was built using stones elements from pre-existing Roman-Byzantine public buildings. The building was heavily damaged by the Galilee Earthquake in 1837, which caused the collapse of the roof and part of walls and columns. Nowadays the ruins include 4 columns of the front porch, the main façade complete up to the second floor and part of inner walls and columns, while the entablature is almost completely collapsed.Considering the important historical value of the entablature - a unique example in Israel - the Bar’am National Park Authority decided to start historical, architectural, and structural studies with the aim of restoring its remains, planning to reconstruct the ancient front porch by anastylosis. The structural behavior of the remains has been analyzed through the Distinct Element Method (DEM), introducing the anastylosis reconstruction of the entablature to predict the seismic response of resulting structure. The stone elements have been modelled through rigid blocks and non-linear deformable interfaces; dynamic analysis has been performed based on local standard spectrum and accelerograms compatible with the seismological history and site soil condition.DEM simulation allowed to evaluate the seismic behavior of the reconstructed configuration, evaluating the opportunity of i) using monolithic or multi-drum new columns for the bearing of reconstructed entablature and ii) introducing connections between stone elements, addressing the design phase.
2024
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3495583
10.1007/978-3-031-39450-8_39
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85180672585
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-39449-2
info:eu-repo/semantics/altIdentifier/isbn/978-3-031-39450-8
https://link.springer.com/chapter/10.1007/978-3-031-39450-8_39
eng
ispartofbook:Structural Analysis of Historical Constructions. SAHC 2023
SAHC 2023 - International Conference on Structural Analysis of Historical Constructions
volume:46
firstpage:472
lastpage:482
numberofpages:12
serie:RILEM BOOKSERIES
alleditors:Endo, Y., Hanazato, T.
Springer Science and Business Media B.V.
oai:www.research.unipd.it:11577/35113512024-03-28T04:41:52Zcom_11577_3160576com_11577_3160572col_11577_3160551
Visibility-Constrained Control of Multirotor via Reference Governor
Kim, Dabin
Pezzutto, Matthias
Schenato, Luca
Kim, H. Jin
Kim, Dabin
Pezzutto, Matthia
Schenato, Luca
Kim, H. Jin
For safe vision-based control applications, perception-related constraints have to be satisfied in addition to other state constraints. In this paper, we deal with the problem where a multirotor equipped with a camera needs to maintain the visibility of a point of interest while tracking a reference given by a high-level planner. We devise a method based on reference governor that, differently from existing solutions, is able to enforce control-level visibility constraints with theoretically assured feasibility. To this end, we design a new type of reference governor for linear systems with polynomial constraints which is capable of handling time-varying references. The proposed solution is implemented online for the real-time multirotor control with visibility constraints and validated with simulations and an actual hardware experiment.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3511351
10.1109/cdc49753.2023.10383418
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85184821221
info:eu-repo/semantics/altIdentifier/wos/WOS:001166433804110
eng
eng
ispartofbook:Proceedings of 62nd IEEE Conference on Decision and Control (CDC)
62nd IEEE Conference on Decision and Control (CDC)
firstpage:5714
lastpage:5721
numberofpages:8
IEEE
oai:www.research.unipd.it:11577/34959242023-09-27T12:57:05Zcom_11577_3160576com_11577_3160572col_11577_3160551
Data Injection in a Vehicular Network Framed Within a Game Theoretic Analysis
Crosara L.
Brocco M.
Cavalagli C.
Wu X.
Gindullina E.
Badia L.
Crosara, L.
Brocco, M.
Cavalagli, C.
Wu, X.
Gindullina, E.
Badia, L.
Denial-of-service attack
Game Theory
Vehicle-to-Infrastructure
Vehicular ad hoc networks
Vehicular networks involve communications between automobiles and roadside infrastructures, to improve safety, traffic efficiency, and comfort. They require to establish secure and efficient means of communication among smart vehicles exploiting the advantage provided by real time data. Thanks to the flexibility of its architecture, a vehicular network is also prone to abuse by individual users and especially to cyber attacks that can have serious consequences. Hence, the assignment of communication opportunities within the network with the purpose of data injection must be carefully monitored. In this work, we develop a game theoretic model that seeks to obtain the best trade-off solution and perform strategic and dynamic decision-making on the available bandwidth assigned to the vehicles. This can be further expanded to counteracting specific types of threat, such as denial of service, or malicious node detection based on the data sent by a vehicle.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3495924
10.1109/MedComNet58619.2023.10168851
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85166244223
info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-3884-3
info:eu-repo/semantics/altIdentifier/wos/WOS:001042465700004
eng
ispartofbook:2023 21st Mediterranean Communication and Computer Networking Conference, MedComNet 2023
21st Mediterranean Communication and Computer Networking Conference, MedComNet 2023
firstpage:25
lastpage:28
numberofpages:4
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/35004012024-03-21T00:59:59Zcom_11577_3160576com_11577_3160572col_11577_3160551
We are all in this together - construing loneliness and social isolation together by playing with Personal Construct Psychology self-help materials
Silvia Caterina Maria Tomaino
Sabrina Cipolletta
Tomaino, SILVIA CATERINA MARIA
Cipolletta, Sabrina
Social isolation and loneliness have increased during and after the pandemic, greatly impacting the general population well-being and mental health, especially of those populations at higher risks such as international college students.
To tackle those challenges and foster well-being and adaptation to the new environment, authors have developed and implemented a blended intervention involving international students composed of 8 in presence group activities and 8 online self-help materials, construed ad hoc in light of the PCP.
The PCP self-help materials were construed to foster anticipation, construction, socialisation and meaning making on different topics while dealing with a new environment and post-pandemic personal and relational fatigue.
The present workshop aims to create a synergic and creative space to explore together the constructs of social isolation and loneliness by playing with the self-help materials. Participants will be actively engaged in elaborating their personal meanings and their patients’ ones while reflecting on clinical implications.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3500401
eng
ispartofbook:Atti convegno ICPCP conference
XXVTH INTERNATIONAL CONGRESS ON PERSONAL CONSTRUCT PSYCHOLOGY
oai:www.research.unipd.it:11577/35074502024-02-13T01:06:49Zcom_11577_3160576com_11577_3160572col_11577_3160551
«Poesie che ho mandato al diavolo». Sulle Poesie disperse di Giuseppe Ungaretti
Antonio D'Ambrosio
Vincenzo Allegrini Sara De Simone Alessandra Forte Dario Panno-Pecoraro
D'Ambrosio, Antonio
Giuseppe Ungaretti
critica delle varianti
carteggi
Giuseppe De Roberti
Enrico Falqui
manoscritti
In 1942 Giuseppe Ungaretti entrusts to Arnoldo Mondadori’s publishing house the publication of all of his works. After the first two books, L’Allegria (Milano 1942) and Sentimento del Tempo (Milano 1943), in 1945 the critic Giuseppe De Robertis edits the third one, entitled Poesie disperse, which contains also the variants of all Ungaretti’s poems. That’s the first example of critical edition of the texts of a living author. The paper presents the birth, the evolution and the realization of this book through the analysis of the correspondence between Ungaretti and De Robertis (edited by Domenico De Robertis in 1984) and the unpublished one between De Robertis and the roman critic Enrico Falqui, which is made up of 1539 missives (letters and postcards) written from 1933 to 1963. The missives they exchanged in 1942 and 1943 are fundamental to understand the philological approach of De Robertis and how the advices given by Falqui (who, actually, was not a philologist) influenced him.
2020
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3507450
info:eu-repo/semantics/altIdentifier/isbn/9788876426919
https://edizioni.sns.it/it/oltre-le-righe-usi-e-infrazioni-dello-spazio-testuale.html
ita
ispartofbook:Oltre le righe. Usi e infrazioni dello spazio testuale
Oltre le righe. Usi e infrazioni dello spazio testuale
firstpage:307
lastpage:322
numberofpages:16
STAMPA
alleditors:Vincenzo Allegrini Sara De Simone Alessandra Forte Dario Panno-Pecoraro
Edizioni della Normale
oai:www.research.unipd.it:11577/34526182023-12-03T00:04:46Zcom_11577_3160576com_11577_3160572col_11577_3160551
Geotechnical studies to optimize the protection measures against flooding of St. Mark square (Venice, IT)
Paolo Simonini
Francesca Ceccato
Lancellotta, Viggiani, Flora, de Silva & Mele
Simonini, Paolo
Ceccato, Francesca
The famous St. Mark square, located on an island characterized by the lowest gap
between ground and sea level, is currently flooded during high tide, even though the MOSE barrier
system is operative. To design cost-effective interventions to safeguard this historical heritage, a
understanding of flooding mechanisms and the relationship between groundwater pressure and
tidal oscillations was necessary. This paper presents the results of a recent monitoring campaign
carried out at St. Mark square as well as a discussion on the selected interventions to protect the
square against flooding.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3452618
10.1201/9781003308867-15
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145968433
info:eu-repo/semantics/altIdentifier/isbn/978-1-003-30886-7
https://www.taylorfrancis.com/chapters/oa-edit/10.1201/9781003308867-15/geotechnical-studies-optimize-protection-measures-flooding-st-mark-square-venice-simonini-ceccato
eng
ispartofbook:Geotechnical Engineering for the Preservation of Monuments and Historic Sites III
Geotechnical Engineering for the Preservation of Monuments and Historic Sites III
firstpage:269
lastpage:279
numberofpages:11
info:eu-repo/semantics/openAccess
ELETTRONICO
alleditors:Lancellotta, Viggiani, Flora, de Silva & Mele
oai:www.research.unipd.it:11577/35051162024-02-28T05:35:16Zcom_11577_3160576com_11577_3160572col_11577_3160551
NonParametric Combination method for data analytics in basketball matches
Elena Barzizza
Nicolo Biasetton
Riccardo Ceccato
Marta Disegna
Giacomo Vezzosi
Barzizza, Elena
Biasetton, Nicolo
Ceccato, Riccardo
Disegna, Marta
Vezzosi, Giacomo
This study examines the usefulness of the NonParametric Combination
technique in comparing basketball players’ performance. After an extensive review
of the literature on indices that can be computed to evaluate individual and team
performance in basketball matches, the NonParametric combination technique is
used to compare two players in the same role both on each performance index and
on overall. Data collected during the 14 matches played by the basketball womens
team at the University Sport Centre Padova in the 2022 winter season have been
analysed in this study. Three couples of players have been analysed and the results
show that only in one couple, one player was overall superior to the other.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3505116
10.60984/978-88-94593-36-5-IES2023
eng
eng
ispartofbook:Book of Short Papers IES 2023
IES 2023 - Statistical Methods for Evaluation and Quality: Techniques, Technologies and Trends (T3 )
oai:www.research.unipd.it:11577/34516242024-03-16T20:07:49Zcom_11577_3160576com_11577_3160572col_11577_3160551
ASSESSMENT OF CANOPY AND GROUND HEIGHT ACCURACY FROM GEDI LIDAR OVER STEEP MOUNTAIN AREAS
Kutchartt, E.
Pedron, M.
Pirotti, F.
Kutchartt, E.
Pedron, M.
Pirotti, F.
2022
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3451624
10.5194/isprs-annals-V-3-2022-431-2022
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85132036224
info:eu-repo/semantics/altIdentifier/wos/WOS:000855203200059
eng
ispartofbook:ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci
ISPRS
volume:V-3-2022
firstpage:431
lastpage:438
numberofpages:8
serie:ISPRS ANNALS OF THE PHOTOGRAMMETRY, REMOTE SENSING AND SPATIAL INFORMATION SCIENCES
ELETTRONICO
oai:www.research.unipd.it:11577/34703892024-03-13T01:08:02Zcom_11577_3160576com_11577_3160572col_11577_3160551
Spatial modeling of brain connectivity data
Daniele Durante
Emanuele Aliverti
Durante, Daniele
Aliverti, Emanuele
Brain network data—measuring anatomical interconnections among a common set of brain regions—are increasingly collected for multiple individuals, and recent studies provide additional information on the brain regions of interest. These predictors typically include the 3-dimensional anatomical coordinates of the brain re- gions, and their membership to hemispheres and lobes. Although recent studies have explored the spatial effects underlying brain networks, there is still a lack of statistical analyses on the net connectivity topology, after controlling for spatial constraints. We answer this question via a latent space model for network data, obtaining a meaningful representation for the net connectivity architecture via a set of latent positions, which capture brain network topologies not explained by closeness in the anatomical space.
2017
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3470389
info:eu-repo/semantics/altIdentifier/isbn/978-88-99459-71-0
eng
ispartofbook:CLADAG 2017 BOOK OF ABSTRACTS AND SHORT PAPERS
CLADAG 2017 - Scientific Meeting of the Classification and Data Analysis Group
STAMPA
Universitas Studiorum
oai:www.research.unipd.it:11577/34870602024-03-13T19:32:17Zcom_11577_3160576com_11577_3160572col_11577_3160551
BARON: Base-Station Authentication Through Core Network for Mobility Management in 5G Networks
Lotto, Alessandro
Singh, Vaibhav
Ramasubramanian, Bhaskar
Brighente, Alessandro
Conti, Mauro
Poovendran, Radha
Lotto, Alessandro
Singh, Vaibhav
Ramasubramanian, Bhaskar
Brighente, Alessandro
Conti, Mauro
Poovendran, Radha
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3487060
10.1145/3558482.3590187
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85166174604
info:eu-repo/semantics/altIdentifier/isbn/9781450398596
info:eu-repo/semantics/altIdentifier/wos/WOS:001032599500013
eng
eng
ispartofbook:Proceedings of the 16th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '23)
ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '23)
firstpage:133
lastpage:144
numberofpages:12
oai:www.research.unipd.it:11577/34523742024-03-15T11:02:17Zcom_11577_3160576com_11577_3160572col_11577_3160551
Exploring the geographies of academic social network sites from a socio-technical perspective: an investigation of scientific literature in Spanish
Raffaghelli J
Manca S.
Raffaghelli, J
Manca, S.
Academic social network sites, Socio-technical system, Scholarly communication, Spanish-language scientific literature.
Academic social network sites (ASNS) like ResearchGate and Academia.edu can be analysed as techno-cultural systems through which researchers perform a number of tasks and roles that can be collectively defined as digital scholarship. This study sets out to map empirical Spanish-language research studies on the use of ResearchGate and Academia.edu among scholarly communities. The aim is to verify possible research gaps regarding shared scholarly knowledge and networked learning supported by ASNS. The study is based on a theoretical framework which treats ASNS as networked socio-technical systems that encompass systemic dimensions and individual usage as strictly intertwined elements influencing each other. This occurs at three levels: 1) the socioeconomic level, which includes components like ownership, governance, and business model; 2) the techno-cultural level, which includes components associated to technology, user/usage, and content; and 3) the networked-scholar level, which includes components related to networking, knowledge sharing and identity. The research reported here is an extension of a previous study of English-language scientific literature which was carried out with the same methods. The corpus of the study was collected from a search of leading databases of international scientific literature (Web of Science, Scopus and a number of Ibero-American scientific databases). The search yielded 12 papers, which were selected according to a set of criteria and analysed in terms of components of the aforementioned three-level framework. The results show that ResearchGate is attracting greater attention, with a particularly high proportion of studies dedicated to social science areas like library and information sciences and communication science. Analysis at the networked scholar level, encompassing forms through which scholars build their identities and reputation in social spaces, revealed that this was underused. The results highlight a need for more specific studies on open and distributed knowledge exchange generated in ASNS from a networked learning perspective, including both individual and collective scholarly practices. Moreover, increased use of qualitative methods could contribute to shed light on new practices among scholars for building reputation and professional identity.
2018
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3452374
info:eu-repo/semantics/altIdentifier/isbn/978-1-86220-337-2
https://www.networkedlearningconference.org.uk/index.htm
eng
ispartofbook:Proceedings of the 11th International Conference on Networked Learning 2018
Proceedings of the 11th International Conference on Networked Learning 2018
firstpage:409
lastpage:416
numberofpages:8
ELETTRONICO
Bajić, M, Dohn, NB, de Laat, M, Jandrić, P & Ryberg, T
oai:www.research.unipd.it:11577/34911472023-12-16T03:52:25Zcom_11577_3160576com_11577_3160572col_11577_3160551
CT-based dimensional metrology developments in Brazil: Current status and outlook
Crhistian Raffaelo Baldo
Thiago Linhares Fernandes
Raffaelo Baldo, Crhistian
LINHARES FERNANDES, Thiago
Since the 1980s Computed Tomography (CT) has been used in many industrial sectors for non-destructive inspection, including flaw detection, failure analysis, and assembly analysis. Back to the 2000s CT has become a metrology tool for dimensioning and tolerancing analysis as well, in which some topics have gained attention of researchers, such as the traceability of a measurement result and the evaluation of the measurement uncertainty. In Brazil, the first two CT systems for dimensional applications were installed about a decade ago in two research centers. For years these two CT infrastructures for dimensional metrology allowed companies of different segments to benefit from the technique and made it possible for researchers to be involved in the field of CT for dimensional metrology. More recently, those promising initiatives have been drastically reduced for reasons such as the obsolescence of those CT infrastructures, despite the significant research efforts that have been observed in other venues. To reverse this negative outlook associated with the field of CT dimensional metrology in Brazil, this paper outlines an integrative framework for collaborative research and development in the subject, which encourages measures, e.g., to fund basic and applied researches, to train and educate people, and to support industries through measurement services and bespoke solutions.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3491147
10.58286/27725
eng
eng
ispartofbook:The e-Journal of Nondestructive Testing
12th Conference on Industrial Computed Tomography (iCT)
volume:28
journal:THE E-JOURNAL OF NONDESTRUCTIVE TESTING
oai:www.research.unipd.it:11577/34985842023-12-24T06:02:35Zcom_11577_3160576com_11577_3160572col_11577_3160551
Research, museums, audiences. The experience of the MemO Project to increase the accessibility of archaeological collections
Luca Zamparo
Emanuela Faresin
Daniel Zilio
Wolfgang Börner, Hendrik Rohland, Christina Kral-Börner, Lina Karner
Zamparo, Luca
Faresin, Emanuela
Zilio, Daniel
Archaeological Museums, 3D Models, Memory of Objects, Serious Games, Database
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3498584
10.11588/propylaeum.1045.c14506
info:eu-repo/semantics/altIdentifier/isbn/978-3-96929-157-3
eng
ispartofbook:Artificial Intelligence. New Pathways Towards Cultural Heritage
25th International Conference on Cultural Heritage and New Technologies 2020
firstpage:221
lastpage:224
numberofpages:4
ELETTRONICO
alleditors:Wolfgang Börner, Hendrik Rohland, Christina Kral-Börner, Lina Karner
Propylaeum – Specialized Information Service Classics
oai:www.research.unipd.it:11577/34715212023-06-05T16:22:58Zcom_11577_3160576com_11577_3160572col_11577_3160551
Machine learning method of phase extraction in distributed acoustic sensing scheme based on optical frequency domain reflectometry
Aitkulov, Arman
Palmieri, Luca
Chiuso, Alessandro
Galtarossa, Andrea
Aitkulov, Arman
Palmieri, Luca
Chiuso, Alessandro
Galtarossa, Andrea
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3471521
10.1364/OFS.2022.Th4.32
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145968832
info:eu-repo/semantics/altIdentifier/isbn/978-1-957171-14-2
eng
ispartofbook:27th International Conference on Optical Fiber Sensors (2022), paper Th4.32
27th International Conference on Optical Fiber Sensors
firstpage:Th4.32
ELETTRONICO
oai:www.research.unipd.it:11577/34891422023-08-21T15:07:22Zcom_11577_3160576com_11577_3160572col_11577_3160551
Improving the Reliability of InAs Quantum-Dot Laser Diodes for Silicon Photonics: the Role of Trapping Layers and Misfit-Dislocation Density
Buffolo M.
Zenari M.
De Santi C.
Shang C.
Hughes E.
Wan Y.
Bowers J. E.
Herrick R. W.
Meneghesso G.
Zanoni E.
Meneghini M.
Belyanin, Alexey A.
Buffolo, M.
Zenari, M.
De Santi, C.
Shang, C.
Hughes, E.
Wan, Y.
Bowers, J. E.
Herrick, R. W.
Meneghesso, G.
Zanoni, E.
Meneghini, M.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3489142
10.1117/12.2652046
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85160711728
info:eu-repo/semantics/altIdentifier/isbn/9781510659858
info:eu-repo/semantics/altIdentifier/isbn/9781510659865
https://www.spiedigitallibrary.org/conference-proceedings-of-spie/12440/2652046/Improving-the-reliability-of-InAs-quantum-dot-laser-diodes-for/10.1117/12.2652046.short?SSO=1
eng
ispartofbook:Proceedings of SPIE Photonics West 2023 conference
SPIE Photonics West 2023
volume:12440
firstpage:2
alleditors:Belyanin, Alexey A.
SPIE
oai:www.research.unipd.it:11577/35002682024-01-09T03:58:37Zcom_11577_3160576com_11577_3160572col_11577_3160551
Nuova luce sulle opere d'arte contemporanea nelle cliniche universitarie di Padova
Maria Cecilia Lovato
Lovato, MARIA CECILIA
In Press
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3500268
ita
ita
ispartofbook:Beyond the gaze. Interpreting and understanding the city. 11th AISU Congress
Beyond the gaze. Interpreting and understanding the city.
ELETTRONICO
oai:www.research.unipd.it:11577/35015642024-01-25T00:30:57Zcom_11577_3160576com_11577_3160572col_11577_3160551
Integrated analysis of miRNAs and gene expression data
BIASIOLO M
FORCATO M
COPPE A
BISOGNIN A
BORTOLUZZI S
BICCIATO S
Biasiolo, M
Forcato, M
Coppe, A
Bisognin, A
Bortoluzzi, S
Bicciato, S
2009
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3501564
eng
ispartofbook:The 3rd FEBS Advanced Lecture Course on Systems Biology
FEBS SysBio 2009
oai:www.research.unipd.it:11577/35003222024-03-19T19:29:58Zcom_11577_3160576com_11577_3160572col_11577_3160551
On the use of X-ray computed tomography for the improvement of metal laser powder bed fusion process monitoring
Nicolò Bonato
Filippo Zanini
Simone Carmignato
Bonato, Nicolò
Zanini, Filippo
Carmignato, Simone
X-ray computed tomography, additive manufacturing, dimensional metrology, in-process monitoring
Laser-powder bed fusion (LPBF) is increasingly used as a successful metal additive manufacturing technology in different industrial sectors, such as biomedical and aerospace, especially for the production of parts with high geometrical complexity. However, LPBF is still affected by repeatability issues and the presence of several defects within the fabricated components. This aspect is therefore a hindrance in the spreading of this prospective technology, which in several cases is still not able to meet the stringent quality requirements imposed by such industries. In order to overcome these issues, X-ray computed tomography (CT) acquires a fundamental role in the understanding of critical aspects and for process development and optimization. Also considering the growing interest regarding the development of LPBF process monitoring systems, which seek to identify and possibly correct defects during fabrication, CT is very much needed for the generation of reference data concerning actual geometry and internal defects. Nevertheless, this implies the need for an accurate comparison between datasets obtained by in-process acquisitions and post-process measurements, with the aim of successfully correlating process events to actual defects. However, to enhance the comparison accuracy, deformations occurring during and after manufacturing need to be considered when performing in- and post-process data registration, given that this aspect is greatly affecting the outcome of correlations.
This work studies a sample geometry that is specifically developed for enhancing data registration accuracy, along with the related alignment procedure. The methodology has also the advantage to be applicable to any kind of in-process monitoring data, despite this paper uses optical imaging for the acquisition of long-exposure digital images, which proved to be suited for detecting spatter particles. Post-process datasets were obtained through metrological X-ray computed tomography, which provides detailed information regarding internal defects.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3500322
10.58286/27706
eng
eng
ispartofbook:Proceedings of International Conference on Industrial Computed Tomography - iCT 2023
12th Conference on Industrial Computed Tomography - iCT 2023
info:eu-repo/semantics/openAccess
ELETTRONICO
oai:www.research.unipd.it:11577/34677292024-03-19T20:36:59Zcom_11577_3160576com_11577_3160572col_11577_3160551
Upgrade of the CMS Muon Trigger system in the barrel region
Battilana C.
Carlin R.
Codispoti G.
Dallavalle M.
Ero J.
Flouris G.
Foudas C.
Fulcher J.
Guiducci L.
Loukas N.
Mallios S.
Manthos N.
Papadopoulos I.
Paradas E.
Rabady D.
Reis T.
Sakulin H.
Sphicas P.
Triossi A.
Venturi A.
Wulz C. -E.
Battilana, C.
Carlin, R.
Codispoti, G.
Dallavalle, M.
Ero, J.
Flouris, G.
Foudas, C.
Fulcher, J.
Guiducci, L.
Loukas, N.
Mallios, S.
Manthos, N.
Papadopoulos, I.
Paradas, E.
Rabady, D.
Reis, T.
Sakulin, H.
Sphicas, P.
Triossi, A.
Venturi, A.
Wulz, C. -E.
2017
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3467729
10.22323/1.282.1080
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85025809164
info:eu-repo/semantics/altIdentifier/wos/WOS:000394556300146
eng
ispartofbook:POS Proceedings of Science, Volume 282
38th International Conference on High Energy Physics (ICHEP2016)
volume:Part F128556
journal:POS PROCEEDINGS OF SCIENCE
oai:www.research.unipd.it:11577/34729872024-02-26T22:53:09Zcom_11577_3160576com_11577_3160572col_11577_3160551
Validation and Characterization of the GALTRACE Silicon Detector Array Demonstrator
Capra, S
Benzoni, G
Compagnucci, A
Deltoro, JM
Duenas, J
Goasduff, A
Mengoni, D
Pullia, A
Skowronski, J
Zanon, I
Ziliani, S
Capra, S
Benzoni, G
Compagnucci, A
Deltoro, Jm
Duenas, J
Goasduff, A
Mengoni, D
Pullia, A
Skowronski, J
Zanon, I
Ziliani, S
The preliminary results of the GALTRACE (GALILEO TRacking Array for Charged Ejectiles) demonstrator are reported. GALTRACE is an array of Silicon PAD detectors for particle spectroscopy and discrimination to be employed in low-energy nuclear physics experiments with stable and radioactive beams at the Legnaro National Laboratories (LNL, Italy). The readout is perfomed with multi-channel, VLSI preamplifiers realized in AMS 350 nm technology, directly wire-bonded on the PCB. These preamplifiers have a resolution of 125 electrons rms and a risetime of 10 ns with a 4 pF capacitance referred to the input. The preamplifiers have a spectroscopic dynamic energy range of 40 MeV. This value is boosted by more than one order of magnitude by an innovative fast-reset device that allows for 40700 MeV spectroscopy with a resolution of less than 0.3% FWHM. After preamplifier test-bench characterization, a full validation of a TRACE demonstrator including detector, front-end electronics, single-ended to differential converters and digitalization system has been performed. The resolution of the 60 active channels, evaluated at the 5486 keV Am-241 alpha peak, is 35 +/- 5 keV
2019
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3472987
10.1109/NSS/MIC42101.2019.9059819
info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-4164-0
info:eu-repo/semantics/altIdentifier/wos/WOS:000569982800211
eng
ispartofbook:2019 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC)
2019 IEEE Nuclear Science Symposium and Medical Imaging Conference
firstpage:1
lastpage:3
numberofpages:3
serie:IEEE NUCLEAR SCIENCE SYMPOSIUM CONFERENCE RECORD
IEEE
oai:www.research.unipd.it:11577/35015662024-01-25T00:31:05Zcom_11577_3160576com_11577_3160572col_11577_3160551
Reconstruction of transcriptional regulatory networks in multiple myeloma
FORCATO M
FERRARI F
AGNELLI L
TODOERTI K
BALDINI L
MORABITO F
CALLEA V
PALUMBO A
LAMBERTENGHI DELILIERS G
BORTOLUZZI S
BICCIATO S
NERI A
Forcato, M
Ferrari, F
Agnelli, L
Todoerti, K
Baldini, L
Morabito, F
Callea, V
Palumbo, A
LAMBERTENGHI DELILIERS, G
Bortoluzzi, S
Bicciato, S
Neri, A
2009
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3501566
eng
ispartofbook:42° Congresso Nazionale della Società Italiana di Ematologia
SIE2009
oai:www.research.unipd.it:11577/35053832024-01-30T00:36:48Zcom_11577_3160576com_11577_3160572col_11577_3160551
Assessing the impact of brain gliomas on effective connectivity gradients
Pagnin Giulia
Baron Giorgia
Silvestri Erica
Chiuso Alessandro
Cecchin Diego
Corbetta Maurizio
Bertoldo Alessandra
Pagnin, Giulia
Baron, Giorgia
Silvestri, Erica
Chiuso, Alessandro
Cecchin, Diego
Corbetta, Maurizio
Bertoldo, Alessandra
Spatial macroscale gradients have proved useful for understanding the relationship between specific cortical regions and function, by mapping brain connectivity matrices on a low-dimensional representational hierarchy that encodes increasingly abstract levels of cognition. While this approach is well-established with functional connectivity, it has never been applied to whole-brain effective connectivity, which accounts for the direction of propagating information. In addition, the study of EC has rarely been applied in brain pathology. In this work, we identified the so-called “gradients” of brain organization from effective connectivity matrices. In neuroscience “gradients of brain organization” is referring to the use of the Laplacian matrix to study spatial modularity and transitions of brain network structure. The aim was to assess the impact of glioma with respect to healthy controls on whole-brain effective connectivity gradients by accounting for the signaling directionality of the information flow. The results showed more differences between controls and tumour subjects in left-hemisphere networks, and in incoming links with respect to outgoing ones. These findings suggest that glioma has a different impact depending on the directionality of connections
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3505383
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85175834751
eng
ispartofbook:Convegno Nazionale di Bioingegneria
8th National Congress of Bioengineering, GNB 2023
Patron Editore S.r.l.
oai:www.research.unipd.it:11577/35039332024-01-19T00:05:49Zcom_11577_3160576com_11577_3160572col_11577_3160551
Reconstructing Neutrino Energy using CNNs for GeV Scale IceCube Events
Micallef J.
Abbasi R.
Ackermann M.
Adams J.
Aguilar J. A.
Ahlers M.
Ahrens M.
Alispach C.
Alves A. A.
Amin N. M.
An R.
Andeen K.
Anderson T.
Anton G.
Arguelles C.
Ashida Y.
Axani S.
Bai X.
Balagopal A. V.
Barbano A.
Barwick S. W.
Bastian B.
Basu V.
Baur S.
Bay R.
Beatty J. J.
Becker K. -H.
Becker Tjus J.
Bellenghi C.
BenZvi S.
Berley D.
Bernardini E.
Besson D. Z.
Binder G.
Bindig D.
Blaufuss E.
Blot S.
Boddenberg M.
Bontempo F.
Borowka J.
Boser S.
Botner O.
Bottcher J.
Bourbeau E.
Bradascio F.
Braun J.
Bron S.
Brostean-Kaiser J.
Browne S.
Burgman A.
Burley R. T.
Busse R. S.
Campana M. A.
Carnie-Bronca E. G.
Chen C.
Chirkin D.
Choi K.
Clark B. A.
Clark K.
Classen L.
Coleman A.
Collin G. H.
Conrad J. M.
Coppin P.
Correa P.
Cowen D. F.
Cross R.
Dappen C.
Dave P.
De Clercq C.
DeLaunay J. J.
Dembinski H.
Deoskar K.
De Ridder S.
Desai A.
Desiati P.
de Vries K. D.
de Wasseige G.
de With M.
DeYoung T.
Dharani S.
Diaz A.
Diaz-Velez J. C.
Dittmer M.
Dujmovic H.
Dunkman M.
DuVernois M. A.
Dvorak E.
Ehrhardt T.
Eller P.
Engel R.
Erpenbeck H.
Evans J.
Evenson P. A.
Fan K. L.
Fazely A. R.
Fiedlschuster S.
Fienberg A. T.
Filimonov K.
Finley C.
Fischer L.
Fox D.
Franckowiak A.
Friedman E.
Fritz A.
Furst P.
Gaisser T. K.
Gallagher J.
Ganster E.
Garcia A.
Garrappa S.
Gerhardt L.
Ghadimi A.
Glaser C.
Glauch T.
Glusenkamp T.
Goldschmidt A.
Gonzalez J. G.
Goswami S.
Grant D.
Gregoire T.
Griswold S.
Gunduz M.
Gunther C.
Haack C.
Hallgren A.
Halliday R.
Halve L.
Halzen F.
Ha Minh M.
Hanson K.
Hardin J.
Harnisch A. A.
Haungs A.
Hauser S.
Hebecker D.
Helbing K.
Henningsen F.
Hettinger E. C.
Hickford S.
Hignight J.
Hill C.
Hill G. C.
Hoffman K. D.
Hoffmann R.
Hoinka T.
Hokanson-Fasig B.
Hoshina K.
Huang F.
Huber M.
Huber T.
Hultqvist K.
Hunnefeld M.
Hussain R.
In S.
Iovine N.
Ishihara A.
Jansson M.
Japaridze G. S.
Jeong M.
Jones B. J. P.
Kang D.
Kang W.
Kang X.
Kappes A.
Kappesser D.
Karg T.
Karl M.
Karle A.
Katz U.
Kauer M.
Kellermann M.
Kelley J. L.
Kheirandish A.
Kin K.
Kintscher T.
Kiryluk J.
Klein S. R.
Koirala R.
Kolanoski H.
Kontrimas T.
Kopke L.
Kopper C.
Kopper S.
Koskinen D. J.
Koundal P.
Kovacevich M.
Kowalski M.
Kozynets T.
Kun E.
Kurahashi N.
Lad N.
Lagunas Gualda C.
Lanfranchi J. L.
Larson M. J.
Lauber F.
Lazar J. P.
Lee J. W.
Leonard K.
Leszczynska A.
Li Y.
Lincetto M.
Liu Q. R.
Liubarska M.
Lohfink E.
Lozano Mariscal C. J.
Lu L.
Lucarelli F.
Ludwig A.
Luszczak W.
Lyu Y.
Ma W. Y.
Madsen J.
Mahn K. B. M.
Makino Y.
Mancina S.
Maris I. C.
Maruyama R.
Mase K.
McElroy T.
McNally F.
Mead J. V.
Meagher K.
Medina A.
Meier M.
Meighen-Berger S.
Micallef J.
Mockler D.
Montaruli T.
Moore R. W.
Morse R.
Moulai M.
Naab R.
Nagai R.
Naumann U.
Necker J.
Nguyen L. V.
Niederhausen H.
Nisa M. U.
Nowicki S. C.
Nygren D. R.
Obertacke Pollmann A.
Oehler M.
Olivas A.
O'Sullivan E.
Pandya H.
Pankova D. V.
Park N.
Parker G. K.
Paudel E. N.
Paul L.
Perez de los Heros C.
Peters L.
Peterson J.
Philippen S.
Pieloth D.
Pieper S.
Pittermann M.
Pizzuto A.
Plum M.
Popovych Y.
Porcelli A.
Prado Rodriguez M.
Price P. B.
Pries B.
Przybylski G. T.
Raab C.
Raissi A.
Rameez M.
Rawlins K.
Rea I. C.
Rehman A.
Reichherzer P.
Reimann R.
Renzi G.
Resconi E.
Reusch S.
Rhode W.
Richman M.
Riedel B.
Roberts E. J.
Robertson S.
Roellinghoff G.
Rongen M.
Rott C.
Ruhe T.
Ryckbosch D.
Rysewyk Cantu D.
Safa I.
Saffer J.
Sanchez Herrera S. E.
Sandrock A.
Sandroos J.
Santander M.
Sarkar S.
Sarkar S.
Satalecka K.
Scharf M.
Schaufel M.
Schieler H.
Schindler S.
Schlunder P.
Schmidt T.
Schneider A.
Schneider J.
Schroder F. G.
Schumacher L.
Schwefer G.
Sclafani S.
Seckel D.
Seunarine S.
Sharma A.
Shefali S.
Silva M.
Skrzypek B.
Smithers B.
Snihur R.
Soedingrekso J.
Soldin D.
Spannfellner C.
Spiczak G. M.
Spiering C.
Stachurska J.
Stamatikos M.
Stanev T.
Stein R.
Stettner J.
Steuer A.
Stezelberger T.
Sturwald T.
Stuttard T.
Sullivan G. W.
Taboada I.
Tenholt F.
Ter-Antonyan S.
Tilav S.
Tischbein F.
Tollefson K.
Tomankova L.
Tonnis C.
Toscano S.
Tosi D.
Trettin A.
Tselengidou M.
Tung C. F.
Turcati A.
Turcotte R.
Turley C. F.
Twagirayezu J. P.
Ty B.
Unland Elorrieta M. A.
Valtonen-Mattila N.
Vandenbroucke J.
van Eijndhoven N.
Vannerom D.
van Santen J.
Verpoest S.
Vraeghe M.
Walck C.
Watson T. B.
Weaver C.
Weigel P.
Weindl A.
Weiss M. J.
Weldert J.
Wendt C.
Werthebach J.
Weyrauch M.
Whitehorn N.
Wiebusch C. H.
Williams D. R.
Wolf M.
Woschnagg K.
Wrede G.
Wulff J.
Xu X. W.
Xu Y.
Yanez J. P.
Yoshida S.
Yu S.
Yuan T.
Zhang Z.
Micallef, J.
Abbasi, R.
Ackermann, M.
Adams, J.
Aguilar, J. A.
Ahlers, M.
Ahrens, M.
Alispach, C.
Alves, A. A.
Amin, N. M.
An, R.
Andeen, K.
Anderson, T.
Anton, G.
Arguelles, C.
Ashida, Y.
Axani, S.
Bai, X.
Balagopal, A. V.
Barbano, A.
Barwick, S. W.
Bastian, B.
Basu, V.
Baur, S.
Bay, R.
Beatty, J. J.
Becker, K. -H.
Becker Tjus, J.
Bellenghi, C.
Benzvi, S.
Berley, D.
Bernardini, E.
Besson, D. Z.
Binder, G.
Bindig, D.
Blaufuss, E.
Blot, S.
Boddenberg, M.
Bontempo, F.
Borowka, J.
Boser, S.
Botner, O.
Bottcher, J.
Bourbeau, E.
Bradascio, F.
Braun, J.
Bron, S.
Brostean-Kaiser, J.
Browne, S.
Burgman, A.
Burley, R. T.
Busse, R. S.
Campana, M. A.
Carnie-Bronca, E. G.
Chen, C.
Chirkin, D.
Choi, K.
Clark, B. A.
Clark, K.
Classen, L.
Coleman, A.
Collin, G. H.
Conrad, J. M.
Coppin, P.
Correa, P.
Cowen, D. F.
Cross, R.
Dappen, C.
Dave, P.
De Clercq, C.
Delaunay, J. J.
Dembinski, H.
Deoskar, K.
De Ridder, S.
Desai, A.
Desiati, P.
de Vries, K. D.
de Wasseige, G.
de With, M.
Deyoung, T.
Dharani, S.
Diaz, A.
Diaz-Velez, J. C.
Dittmer, M.
Dujmovic, H.
Dunkman, M.
Duvernois, M. A.
Dvorak, E.
Ehrhardt, T.
Eller, P.
Engel, R.
Erpenbeck, H.
Evans, J.
Evenson, P. A.
Fan, K. L.
Fazely, A. R.
Fiedlschuster, S.
Fienberg, A. T.
Filimonov, K.
Finley, C.
Fischer, L.
Fox, D.
Franckowiak, A.
Friedman, E.
Fritz, A.
Furst, P.
Gaisser, T. K.
Gallagher, J.
Ganster, E.
Garcia, A.
Garrappa, S.
Gerhardt, L.
Ghadimi, A.
Glaser, C.
Glauch, T.
Glusenkamp, T.
Goldschmidt, A.
Gonzalez, J. G.
Goswami, S.
Grant, D.
Gregoire, T.
Griswold, S.
Gunduz, M.
Gunther, C.
Haack, C.
Hallgren, A.
Halliday, R.
Halve, L.
Halzen, F.
Ha Minh, M.
Hanson, K.
Hardin, J.
Harnisch, A. A.
Haungs, A.
Hauser, S.
Hebecker, D.
Helbing, K.
Henningsen, F.
Hettinger, E. C.
Hickford, S.
Hignight, J.
Hill, C.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Hoinka, T.
Hokanson-Fasig, B.
Hoshina, K.
Huang, F.
Huber, M.
Huber, T.
Hultqvist, K.
Hunnefeld, M.
Hussain, R.
In, S.
Iovine, N.
Ishihara, A.
Jansson, M.
Japaridze, G. S.
Jeong, M.
Jones, B. J. P.
Kang, D.
Kang, W.
Kang, X.
Kappes, A.
Kappesser, D.
Karg, T.
Karl, M.
Karle, A.
Katz, U.
Kauer, M.
Kellermann, M.
Kelley, J. L.
Kheirandish, A.
Kin, K.
Kintscher, T.
Kiryluk, J.
Klein, S. R.
Koirala, R.
Kolanoski, H.
Kontrimas, T.
Kopke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Koundal, P.
Kovacevich, M.
Kowalski, M.
Kozynets, T.
Kun, E.
Kurahashi, N.
Lad, N.
Lagunas Gualda, C.
Lanfranchi, J. L.
Larson, M. J.
Lauber, F.
Lazar, J. P.
Lee, J. W.
Leonard, K.
Leszczynska, A.
Li, Y.
Lincetto, M.
Liu, Q. R.
Liubarska, M.
Lohfink, E.
Lozano Mariscal, C. J.
Lu, L.
Lucarelli, F.
Ludwig, A.
Luszczak, W.
Lyu, Y.
Ma, W. Y.
Madsen, J.
Mahn, K. B. M.
Makino, Y.
Mancina, S.
Maris, I. C.
Maruyama, R.
Mase, K.
Mcelroy, T.
Mcnally, F.
Mead, J. V.
Meagher, K.
Medina, A.
Meier, M.
Meighen-Berger, S.
Micallef, J.
Mockler, D.
Montaruli, T.
Moore, R. W.
Morse, R.
Moulai, M.
Naab, R.
Nagai, R.
Naumann, U.
Necker, J.
Nguyen, L. V.
Niederhausen, H.
Nisa, M. U.
Nowicki, S. C.
Nygren, D. R.
Obertacke Pollmann, A.
Oehler, M.
Olivas, A.
O'Sullivan, E.
Pandya, H.
Pankova, D. V.
Park, N.
Parker, G. K.
Paudel, E. N.
Paul, L.
Perez de los Heros, C.
Peters, L.
Peterson, J.
Philippen, S.
Pieloth, D.
Pieper, S.
Pittermann, M.
Pizzuto, A.
Plum, M.
Popovych, Y.
Porcelli, A.
Prado Rodriguez, M.
Price, P. B.
Pries, B.
Przybylski, G. T.
Raab, C.
Raissi, A.
Rameez, M.
Rawlins, K.
Rea, I. C.
Rehman, A.
Reichherzer, P.
Reimann, R.
Renzi, G.
Resconi, E.
Reusch, S.
Rhode, W.
Richman, M.
Riedel, B.
Roberts, E. J.
Robertson, S.
Roellinghoff, G.
Rongen, M.
Rott, C.
Ruhe, T.
Ryckbosch, D.
Rysewyk Cantu, D.
Safa, I.
Saffer, J.
Sanchez Herrera, S. E.
Sandrock, A.
Sandroos, J.
Santander, M.
Sarkar, S.
Sarkar, S.
Satalecka, K.
Scharf, M.
Schaufel, M.
Schieler, H.
Schindler, S.
Schlunder, P.
Schmidt, T.
Schneider, A.
Schneider, J.
Schroder, F. G.
Schumacher, L.
Schwefer, G.
Sclafani, S.
Seckel, D.
Seunarine, S.
Sharma, A.
Shefali, S.
Silva, M.
Skrzypek, B.
Smithers, B.
Snihur, R.
Soedingrekso, J.
Soldin, D.
Spannfellner, C.
Spiczak, G. M.
Spiering, C.
Stachurska, J.
Stamatikos, M.
Stanev, T.
Stein, R.
Stettner, J.
Steuer, A.
Stezelberger, T.
Sturwald, T.
Stuttard, T.
Sullivan, G. W.
Taboada, I.
Tenholt, F.
Ter-Antonyan, S.
Tilav, S.
Tischbein, F.
Tollefson, K.
Tomankova, L.
Tonnis, C.
Toscano, S.
Tosi, D.
Trettin, A.
Tselengidou, M.
Tung, C. F.
Turcati, A.
Turcotte, R.
Turley, C. F.
Twagirayezu, J. P.
Ty, B.
Unland Elorrieta, M. A.
Valtonen-Mattila, N.
Vandenbroucke, J.
van Eijndhoven, N.
Vannerom, D.
van Santen, J.
Verpoest, S.
Vraeghe, M.
Walck, C.
Watson, T. B.
Weaver, C.
Weigel, P.
Weindl, A.
Weiss, M. J.
Weldert, J.
Wendt, C.
Werthebach, J.
Weyrauch, M.
Whitehorn, N.
Wiebusch, C. H.
Williams, D. R.
Wolf, M.
Woschnagg, K.
Wrede, G.
Wulff, J.
Xu, X. W.
Xu, Y.
Yanez, J. P.
Yoshida, S.
Yu, S.
Yuan, T.
Zhang, Z.
Measurements of neutrinos at and below 10 GeV provide unique constraints of neutrino oscillation parameters as well as probes of potential Non-Standard Interactions (NSI). The IceCube Neutrino Observatory’s DeepCore array is designed to detect neutrinos down to GeV energies. IceCube has built the world’s largest data set of neutrinos >10 GeV, making searches for NSI a computational challenge. This work describes the use of convolutional neural networks (CNNs) to improve the energy reconstruction resolution and speed of reconstructing O(10 GeV) neutrino events in IceCube. Compared to current likelihood-based methods which take seconds to minutes, the CNN is expected to provide approximately a factor of 2 improvement in energy resolution while reducing the reconstruction time per event to milliseconds, which is essential for processing large datasets.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503933
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85122867451
info:eu-repo/semantics/altIdentifier/wos/WOS:001081844903011
eng
eng
ispartofbook:Proceedings of Science
37th International Cosmic Ray Conference, ICRC 2021
volume:395
journal:POS PROCEEDINGS OF SCIENCE
Sissa Medialab Srl
oai:www.research.unipd.it:11577/34542432024-03-17T01:36:44Zcom_11577_3160576com_11577_3160572col_11577_3160551
Malattie emergenti nelle formazioni arbustive degli ambienti alpini
Carlo Bregant
Giovanni Rossetto
Nicolò Sasso
Lucio Montecchio
Benedetto Linaldeddu
Bregant, Carlo
Rossetto, Giovanni
Sasso, Nicolò
Montecchio, Lucio
Linaldeddu, BENEDETTO TEODORO
2022
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3454243
ita
ispartofbook:Oral Presentation
XXIII Convegno Nazionale di Micologia
oai:www.research.unipd.it:11577/34507132024-03-17T10:52:28Zcom_11577_3160576com_11577_3160572col_11577_3160551
Key elements of critical digital literacies from the perspective of school education
Lakkala M.
Ilomäki L.
Kallunki V.
Gouseti A.
Mundy D.
Raffaghelli J. E.
Romero M.
Romeu T.
Ranieri M.
Bruni I.
Roffi A.
Lakkala, M.
Ilomäki, L.
Kallunki, V.
Gouseti, A.
Mundy, D.
Raffaghelli, J. E.
Romero, M.
Romeu, T.
Ranieri, M.
Bruni, I.
Roffi, A.
critical digital literacies, school education, learning
2021
info:eu-repo/semantics/conferenceObject
http://hdl.handle.net/11577/3450713
https://doi.org/10.5281/zenodo.5497937
eng
ispartofbook:Key elements of critical digital literacies from the perspective of school education
Key elements of critical digital literacies from the perspective of school education. EARLI 2021 conference: Education and Citizenship – Learning and Instruction and the Shaping of Futures
ELETTRONICO
oai:www.research.unipd.it:11577/35038992024-01-19T00:05:51Zcom_11577_3160576com_11577_3160572col_11577_3160551
Search for Astrophysical Neutrino Transients with IceCube DeepCore
Abbasi R.
Ackermann M.
Adams J.
Aguilar J. A.
Ahlers M.
Ahrens M.
Alispach C.
Alves A. A.
Amin N. M.
An R.
Andeen K.
Anderson T.
Anton G.
Arguelles C.
Ashida Y.
Axani S.
Bai X.
Balagopal A. V.
Barbano A.
Barwick S. W.
Bastian B.
Basu V.
Baur S.
Bay R.
Beatty J. J.
Becker K. -H.
Becker Tjus J.
Bellenghi C.
BenZvi S.
Berley D.
Bernardini E.
Besson D. Z.
Binder G.
Bindig D.
Blaufuss E.
Blot S.
Boddenberg M.
Bontempo F.
Borowka J.
Boser S.
Botner O.
Bottcher J.
Bourbeau E.
Bradascio F.
Braun J.
Bron S.
Brostean-Kaiser J.
Browne S.
Burgman A.
Burley R. T.
Busse R. S.
Campana M. A.
Carnie-Bronca E. G.
Chen C.
Chirkin D.
Choi K.
Clark B. A.
Clark K.
Classen L.
Coleman A.
Collin G. H.
Conrad J. M.
Coppin P.
Correa P.
Cowen D. F.
Cross R.
Dappen C.
Dave P.
De Clercq C.
DeLaunay J. J.
Dembinski H.
Deoskar K.
De Ridder S.
Desai A.
Desiati P.
de Vries K. D.
de Wasseige G.
de With M.
DeYoung T.
Dharani S.
Diaz A.
Diaz-Velez J. C.
Dittmer M.
Dujmovic H.
Dunkman M.
DuVernois M. A.
Dvorak E.
Ehrhardt T.
Eller P.
Engel R.
Erpenbeck H.
Evans J.
Evenson P. A.
Fan K. L.
Fazely A. R.
Fiedlschuster S.
Fienberg A. T.
Filimonov K.
Finley C.
Fischer L.
Fox D.
Franckowiak A.
Friedman E.
Fritz A.
Furst P.
Gaisser T. K.
Gallagher J.
Ganster E.
Garcia A.
Garrappa S.
Gerhardt L.
Ghadimi A.
Glaser C.
Glauch T.
Glusenkamp T.
Goldschmidt A.
Gonzalez J. G.
Goswami S.
Grant D.
Gregoire T.
Griswold S.
Gunduz M.
Gunther C.
Haack C.
Hallgren A.
Halliday R.
Halve L.
Halzen F.
Ha Minh M.
Hanson K.
Hardin J.
Harnisch A. A.
Haungs A.
Hauser S.
Hebecker D.
Helbing K.
Henningsen F.
Hettinger E. C.
Hickford S.
Hignight J.
Hill C.
Hill G. C.
Hoffman K. D.
Hoffmann R.
Hoinka T.
Hokanson-Fasig B.
Hoshina K.
Huang F.
Huber M.
Huber T.
Hultqvist K.
Hunnefeld M.
Hussain R.
In S.
Iovine N.
Ishihara A.
Jansson M.
Japaridze G. S.
Jeong M.
Jones B. J. P.
Kang D.
Kang W.
Kang X.
Kappes A.
Kappesser D.
Karg T.
Karl M.
Karle A.
Katz U.
Kauer M.
Kellermann M.
Kelley J. L.
Kheirandish A.
Kin K.
Kintscher T.
Kiryluk J.
Klein S. R.
Koirala R.
Kolanoski H.
Kontrimas T.
Kopke L.
Kopper C.
Kopper S.
Koskinen D. J.
Koundal P.
Kovacevich M.
Kowalski M.
Kozynets T.
Kun E.
Kurahashi N.
Lad N.
Lagunas Gualda C.
Lanfranchi J. L.
Larson M. J.
Lauber F.
Lazar J. P.
Lee J. W.
Leonard K.
Leszczynska A.
Li Y.
Lincetto M.
Liu Q. R.
Liubarska M.
Lohfink E.
Lozano Mariscal C. J.
Lu L.
Lucarelli F.
Ludwig A.
Luszczak W.
Lyu Y.
Ma W. Y.
Madsen J.
Mahn K. B. M.
Makino Y.
Mancina S.
Maris I. C.
Maruyama R.
Mase K.
McElroy T.
McNally F.
Mead J. V.
Meagher K.
Medina A.
Meier M.
Meighen-Berger S.
Micallef J.
Mockler D.
Montaruli T.
Moore R. W.
Morse R.
Moulai M.
Naab R.
Nagai R.
Naumann U.
Necker J.
Nguyen L. V.
Niederhausen H.
Nisa M. U.
Nowicki S. C.
Nygren D. R.
Obertacke Pollmann A.
Oehler M.
Olivas A.
O'Sullivan E.
Pandya H.
Pankova D. V.
Park N.
Parker G. K.
Paudel E. N.
Paul L.
Perez de los Heros C.
Peters L.
Peterson J.
Philippen S.
Pieloth D.
Pieper S.
Pittermann M.
Pizzuto A.
Plum M.
Popovych Y.
Porcelli A.
Prado Rodriguez M.
Price P. B.
Pries B.
Przybylski G. T.
Raab C.
Raissi A.
Rameez M.
Rawlins K.
Rea I. C.
Rehman A.
Reichherzer P.
Reimann R.
Renzi G.
Resconi E.
Reusch S.
Rhode W.
Richman M.
Riedel B.
Roberts E. J.
Robertson S.
Roellinghoff G.
Rongen M.
Rott C.
Ruhe T.
Ryckbosch D.
Rysewyk Cantu D.
Safa I.
Saffer J.
Sanchez Herrera S. E.
Sandrock A.
Sandroos J.
Santander M.
Sarkar S.
Sarkar S.
Satalecka K.
Scharf M.
Schaufel M.
Schieler H.
Schindler S.
Schlunder P.
Schmidt T.
Schneider A.
Schneider J.
Schroder F. G.
Schumacher L.
Schwefer G.
Sclafani S.
Seckel D.
Seunarine S.
Sharma A.
Shefali S.
Silva M.
Skrzypek B.
Smithers B.
Snihur R.
Soedingrekso J.
Soldin D.
Spannfellner C.
Spiczak G. M.
Spiering C.
Stachurska J.
Stamatikos M.
Stanev T.
Stein R.
Stettner J.
Steuer A.
Stezelberger T.
Sturwald T.
Stuttard T.
Sullivan G. W.
Taboada I.
Tenholt F.
Ter-Antonyan S.
Tilav S.
Tischbein F.
Tollefson K.
Tomankova L.
Tonnis C.
Toscano S.
Tosi D.
Trettin A.
Tselengidou M.
Tung C. F.
Turcati A.
Turcotte R.
Turley C. F.
Twagirayezu J. P.
Ty B.
Unland Elorrieta M. A.
Valtonen-Mattila N.
Vandenbroucke J.
van Eijndhoven N.
Vannerom D.
van Santen J.
Verpoest S.
Vraeghe M.
Walck C.
Watson T. B.
Weaver C.
Weigel P.
Weindl A.
Weiss M. J.
Weldert J.
Wendt C.
Werthebach J.
Weyrauch M.
Whitehorn N.
Wiebusch C. H.
Williams D. R.
Wolf M.
Woschnagg K.
Wrede G.
Wulff J.
Xu X. W.
Xu Y.
Yanez J. P.
Yoshida S.
Yu S.
Yuan T.
Zhang Z.
Abbasi, R.
Ackermann, M.
Adams, J.
Aguilar, J. A.
Ahlers, M.
Ahrens, M.
Alispach, C.
Alves, A. A.
Amin, N. M.
An, R.
Andeen, K.
Anderson, T.
Anton, G.
Arguelles, C.
Ashida, Y.
Axani, S.
Bai, X.
Balagopal, A. V.
Barbano, A.
Barwick, S. W.
Bastian, B.
Basu, V.
Baur, S.
Bay, R.
Beatty, J. J.
Becker, K. -H.
Becker Tjus, J.
Bellenghi, C.
Benzvi, S.
Berley, D.
Bernardini, E.
Besson, D. Z.
Binder, G.
Bindig, D.
Blaufuss, E.
Blot, S.
Boddenberg, M.
Bontempo, F.
Borowka, J.
Boser, S.
Botner, O.
Bottcher, J.
Bourbeau, E.
Bradascio, F.
Braun, J.
Bron, S.
Brostean-Kaiser, J.
Browne, S.
Burgman, A.
Burley, R. T.
Busse, R. S.
Campana, M. A.
Carnie-Bronca, E. G.
Chen, C.
Chirkin, D.
Choi, K.
Clark, B. A.
Clark, K.
Classen, L.
Coleman, A.
Collin, G. H.
Conrad, J. M.
Coppin, P.
Correa, P.
Cowen, D. F.
Cross, R.
Dappen, C.
Dave, P.
De Clercq, C.
Delaunay, J. J.
Dembinski, H.
Deoskar, K.
De Ridder, S.
Desai, A.
Desiati, P.
de Vries, K. D.
de Wasseige, G.
de With, M.
Deyoung, T.
Dharani, S.
Diaz, A.
Diaz-Velez, J. C.
Dittmer, M.
Dujmovic, H.
Dunkman, M.
Duvernois, M. A.
Dvorak, E.
Ehrhardt, T.
Eller, P.
Engel, R.
Erpenbeck, H.
Evans, J.
Evenson, P. A.
Fan, K. L.
Fazely, A. R.
Fiedlschuster, S.
Fienberg, A. T.
Filimonov, K.
Finley, C.
Fischer, L.
Fox, D.
Franckowiak, A.
Friedman, E.
Fritz, A.
Furst, P.
Gaisser, T. K.
Gallagher, J.
Ganster, E.
Garcia, A.
Garrappa, S.
Gerhardt, L.
Ghadimi, A.
Glaser, C.
Glauch, T.
Glusenkamp, T.
Goldschmidt, A.
Gonzalez, J. G.
Goswami, S.
Grant, D.
Gregoire, T.
Griswold, S.
Gunduz, M.
Gunther, C.
Haack, C.
Hallgren, A.
Halliday, R.
Halve, L.
Halzen, F.
Ha Minh, M.
Hanson, K.
Hardin, J.
Harnisch, A. A.
Haungs, A.
Hauser, S.
Hebecker, D.
Helbing, K.
Henningsen, F.
Hettinger, E. C.
Hickford, S.
Hignight, J.
Hill, C.
Hill, G. C.
Hoffman, K. D.
Hoffmann, R.
Hoinka, T.
Hokanson-Fasig, B.
Hoshina, K.
Huang, F.
Huber, M.
Huber, T.
Hultqvist, K.
Hunnefeld, M.
Hussain, R.
In, S.
Iovine, N.
Ishihara, A.
Jansson, M.
Japaridze, G. S.
Jeong, M.
Jones, B. J. P.
Kang, D.
Kang, W.
Kang, X.
Kappes, A.
Kappesser, D.
Karg, T.
Karl, M.
Karle, A.
Katz, U.
Kauer, M.
Kellermann, M.
Kelley, J. L.
Kheirandish, A.
Kin, K.
Kintscher, T.
Kiryluk, J.
Klein, S. R.
Koirala, R.
Kolanoski, H.
Kontrimas, T.
Kopke, L.
Kopper, C.
Kopper, S.
Koskinen, D. J.
Koundal, P.
Kovacevich, M.
Kowalski, M.
Kozynets, T.
Kun, E.
Kurahashi, N.
Lad, N.
Lagunas Gualda, C.
Lanfranchi, J. L.
Larson, M. J.
Lauber, F.
Lazar, J. P.
Lee, J. W.
Leonard, K.
Leszczynska, A.
Li, Y.
Lincetto, M.
Liu, Q. R.
Liubarska, M.
Lohfink, E.
Lozano Mariscal, C. J.
Lu, L.
Lucarelli, F.
Ludwig, A.
Luszczak, W.
Lyu, Y.
Ma, W. Y.
Madsen, J.
Mahn, K. B. M.
Makino, Y.
Mancina, S.
Maris, I. C.
Maruyama, R.
Mase, K.
Mcelroy, T.
Mcnally, F.
Mead, J. V.
Meagher, K.
Medina, A.
Meier, M.
Meighen-Berger, S.
Micallef, J.
Mockler, D.
Montaruli, T.
Moore, R. W.
Morse, R.
Moulai, M.
Naab, R.
Nagai, R.
Naumann, U.
Necker, J.
Nguyen, L. V.
Niederhausen, H.
Nisa, M. U.
Nowicki, S. C.
Nygren, D. R.
Obertacke Pollmann, A.
Oehler, M.
Olivas, A.
O'Sullivan, E.
Pandya, H.
Pankova, D. V.
Park, N.
Parker, G. K.
Paudel, E. N.
Paul, L.
Perez de los Heros, C.
Peters, L.
Peterson, J.
Philippen, S.
Pieloth, D.
Pieper, S.
Pittermann, M.
Pizzuto, A.
Plum, M.
Popovych, Y.
Porcelli, A.
Prado Rodriguez, M.
Price, P. B.
Pries, B.
Przybylski, G. T.
Raab, C.
Raissi, A.
Rameez, M.
Rawlins, K.
Rea, I. C.
Rehman, A.
Reichherzer, P.
Reimann, R.
Renzi, G.
Resconi, E.
Reusch, S.
Rhode, W.
Richman, M.
Riedel, B.
Roberts, E. J.
Robertson, S.
Roellinghoff, G.
Rongen, M.
Rott, C.
Ruhe, T.
Ryckbosch, D.
Rysewyk Cantu, D.
Safa, I.
Saffer, J.
Sanchez Herrera, S. E.
Sandrock, A.
Sandroos, J.
Santander, M.
Sarkar, S.
Sarkar, S.
Satalecka, K.
Scharf, M.
Schaufel, M.
Schieler, H.
Schindler, S.
Schlunder, P.
Schmidt, T.
Schneider, A.
Schneider, J.
Schroder, F. G.
Schumacher, L.
Schwefer, G.
Sclafani, S.
Seckel, D.
Seunarine, S.
Sharma, A.
Shefali, S.
Silva, M.
Skrzypek, B.
Smithers, B.
Snihur, R.
Soedingrekso, J.
Soldin, D.
Spannfellner, C.
Spiczak, G. M.
Spiering, C.
Stachurska, J.
Stamatikos, M.
Stanev, T.
Stein, R.
Stettner, J.
Steuer, A.
Stezelberger, T.
Sturwald, T.
Stuttard, T.
Sullivan, G. W.
Taboada, I.
Tenholt, F.
Ter-Antonyan, S.
Tilav, S.
Tischbein, F.
Tollefson, K.
Tomankova, L.
Tonnis, C.
Toscano, S.
Tosi, D.
Trettin, A.
Tselengidou, M.
Tung, C. F.
Turcati, A.
Turcotte, R.
Turley, C. F.
Twagirayezu, J. P.
Ty, B.
Unland Elorrieta, M. A.
Valtonen-Mattila, N.
Vandenbroucke, J.
van Eijndhoven, N.
Vannerom, D.
van Santen, J.
Verpoest, S.
Vraeghe, M.
Walck, C.
Watson, T. B.
Weaver, C.
Weigel, P.
Weindl, A.
Weiss, M. J.
Weldert, J.
Wendt, C.
Werthebach, J.
Weyrauch, M.
Whitehorn, N.
Wiebusch, C. H.
Williams, D. R.
Wolf, M.
Woschnagg, K.
Wrede, G.
Wulff, J.
Xu, X. W.
Xu, Y.
Yanez, J. P.
Yoshida, S.
Yu, S.
Yuan, T.
Zhang, Z.
DeepCore, as a densely instrumented sub-detector of IceCube, extends IceCube’s energy reach down to about 10 GeV, enabling the search for astrophysical transient sources, e.g., choked gamma-ray bursts. While many other past and on-going studies focus on triggered time-dependent analyses, we aim to utilize a newly developed event selection and dataset for an untriggered all-sky time-dependent search for transients. In this work, all-flavor neutrinos are used, where neutrino types are determined based on the topology of the events. We extend the previous DeepCore transient half-sky search to an all-sky search and focus only on short timescale sources (with a duration of 102 ∼ 105 seconds). All-sky sensitivities to transients in an energy range from 10 GeV to 300 GeV will be presented in this poster. We show that DeepCore can be reliably used for all-sky searches for short-lived astrophysical sources.
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3503899
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85145021119
info:eu-repo/semantics/altIdentifier/wos/WOS:001081844903092
eng
eng
ispartofbook:Proceedings of Science
37th International Cosmic Ray Conference, ICRC 2021
volume:395
journal:POS PROCEEDINGS OF SCIENCE
Sissa Medialab Srl
oai:www.research.unipd.it:11577/35042992024-03-23T02:01:09Zcom_11577_3160576com_11577_3160572col_11577_3160551
A Deterministic Approach to Derive the Optimal Synchronous Condenser Synchronization Condition
Benato, Roberto
Sanniti, Francesco
Tedeschi, Domenico
Benato, Roberto
Sanniti, Francesco
Tedeschi, Domenico
machine start-up
synchronization proce
Synchronous condenser
This paper presents an original deterministic approach to improve the success rate of synchronous condenser grid integration. The start-up process of a synchronous condenser cannot rely on the presence of a supply system to regulate its speed during the synchronization process, as it happens with traditional synchronous generators. In fact, the employment of static frequency converters to boot the machine makes unfeasible its simultaneous presence during the grid integration, making the process uncontrollable. The proposed method determines the optimal frequency and voltage angle to drop the converter to ensure synchronization with the grid within proper thresholds. In particular, this procedure enables to significantly reduce the frequency threshold for the synchronization so to limit the thermal and mechanical stresses of the machine and to increase its lifecycle.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3504299
10.23919/AEIT60520.2023.10330349
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85180416750
info:eu-repo/semantics/altIdentifier/isbn/978-88-87237-60-3
https://ieeexplore.ieee.org/document/10330349
eng
eng
ispartofbook:115th AEIT International Annual Conference, AEIT 2023
115th AEIT International Annual Conference, AEIT 2023
firstpage:1
lastpage:6
numberofpages:6
ELETTRONICO
oai:www.research.unipd.it:11577/34951192024-03-22T06:07:58Zcom_11577_3160576com_11577_3160572col_11577_3160551
Development of a multi-payload 2U CubeSat: the Alba project
Basana, Federico
Avram, Alexandru Andrei
Fontanot, Francesco
Lion, Luca
Francesconi, Alessandro
Basana, Federico
Avram, Alexandru Andrei
Fontanot, Francesco
Lion, Luca
Francesconi, Alessandro
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3495119
10.5821/conference-9788419184405.084
eng
ispartofbook:Proc. of 4th Symposium on Space Educational Activities (SSEA)
4th Symposium on Space Educational Activities (SSEA)
oai:www.research.unipd.it:11577/34963442024-01-30T01:17:16Zcom_11577_3160576com_11577_3160572col_11577_3160551
Dalla pratica al progetto, verso il 2023. Dieci casi studio per un'applicazione progettuale dell'agroecologia.
Dezio
Galderisi A., Mininni M., Presta I.G.
Dezio, Catherine
Il momento storico di grande fermento sul piano delle politiche agricole Europee e Nazionali rappresenta una soglia storica di opportunità̀ per riflettere sui processi di trasformazione dell’ambiente e del paesaggio. Si tratta di strumenti che si pongono spesso medesimi obiettivi, pur rimandando ad un quadro di azioni apparentemente frammentate. Per rispondere a queste numerose sollecitazioni, il Consiglio Nazionale della Green Economy (in condivisione con la FAO) vede nell’agroecologia un’unica risposta comune, che può facilitare il miglioramento delle prestazioni ambientali, dell’economia circolare e dell’inclusione sociale.
In questo contesto, è importante ricordare la complessità dei territori ibridi marginali del nostro Paese, sottoposti a continue pressioni e fragilità̀ (l’uso dei pesticidi, il consumo di suolo, etc). Questa problematicità̀ multidimensionale richiede letture e soluzioni altrettanto sfaccettate, che lavorino sul patrimonio dell’agricoltura in maniera sistemica.
In questo contesto si inserisce il seguente lavoro, il cui obiettivo generale è una riflessione sul ruolo dell’agroecologia nella strutturazione di un nuovo modello rurale, transcalare e integrato. Per affrontare questo tema verranno presentati parte di alcuni risultati di una ricerca condotta con l’University of Vermont, che ha visto l’indagine di 10 aziende periurbane milanesi e romane. La ricerca aveva come obiettivo quello di analizzare il ruolo potenziale del progetto di paesaggio nella valorizzazione dei servizi ecosistemici di aziende agricole agroecologiche situate in contesti complessi.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3496344
ita
ispartofbook:La declinazione della sostenibilità ambientale nella disciplina urbanistica. Atti della XXIV Conferenza Nazionale SIU - Società degli Urbanisti. Dare valore ai valori in urbanistica. Brescia 23-24 giugno 2022, vol 3
XXIV Conferenza Nazionale SIU Dare Valore ai valori in urbanistica, Brescia 23-24 giugno 2022
firstpage:180
lastpage:190
numberofpages:11
alleditors:Galderisi A., Mininni M., Presta I.G.
Planum
oai:www.research.unipd.it:11577/35090082024-03-03T08:09:48Zcom_11577_3160576com_11577_3160572col_11577_3160551
Zebrafish as a model for dissecting the in vivo roles of Collagen VI
Chiara Consorti
Valentina Tonelotto
Valeria Trapani
Nicola Facchinello
Chiara Giraudo
Matilde Cescon
Cristiano Bertolucci
Paolo Bonaldo
Consorti, Chiara
Tonelotto, Valentina
Trapani, Valeria
Facchinello, Nicola
Giraudo, Chiara
Cescon, Matilde
Bertolucci, Cristiano
Bonaldo, Paolo
2021
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3509008
https://ojs.ptbioch.edu.pl/index.php/abp/issue/view/150
eng
eng
ispartofbook:Suplement: Abstracts of the Virtual European Muscle Conference, Warsaw, September 20–22, 2021
Virtual European Muscle Conference
volume:68
journal:ACTA BIOCHIMICA POLONICA
oai:www.research.unipd.it:11577/34693582024-03-23T03:34:57Zcom_11577_3160576com_11577_3160572col_11577_3160551
Quality assessment of deep-learning-based image compression
Valenzise G.
Purica A.
Hulusic V.
Cagnazzo M.
Valenzise, G.
Purica, A.
Hulusic, V.
Cagnazzo, M.
Image compression standards rely on predictive coding, transform coding, quantization and entropy coding, in order to achieve high compression performance. Very recently, deep generative models have been used to optimize or replace some of these operations, with very promising results. However, so far no systematic and independent study of the coding performance of these algorithms has been carried out. In this paper, for the first time, we conduct a subjective evaluation of two recent deep-learning-based image compression algorithms, comparing them to JPEG 2000 and to the recent BPG image codec based on HEVC Intra. We found that compression approaches based on deep auto-encoders can achieve coding performance higher than JPEG 2000, and sometimes as good as BPG. We also show experimentally that the PSNR metric is to be avoided when evaluating the visual quality of deep-learning-based methods, as their artifacts have different characteristics from those of DCT or wavelet-based codecs. In particular, images compressed at low bitrate appear more natural than JPEG 2000 coded pictures, according to a no-reference naturalness measure. Our study indicates that deep generative models are likely to bring huge innovation into the video coding arena in the coming years.
2018
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3469358
10.1109/MMSP.2018.8547064
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85059985732
info:eu-repo/semantics/altIdentifier/isbn/978-1-5386-6070-6
info:eu-repo/semantics/altIdentifier/wos/WOS:000516607500012
eng
ispartofbook:2018 IEEE 20th International Workshop on Multimedia Signal Processing, MMSP 2018
20th IEEE International Workshop on Multimedia Signal Processing, MMSP 2018
firstpage:1
lastpage:6
numberofpages:6
Institute of Electrical and Electronics Engineers Inc.
oai:www.research.unipd.it:11577/34923402024-03-10T07:35:27Zcom_11577_3160576com_11577_3160572col_11577_3160551
Economically valuing cultural ecosystem services: a focus on green care
Aisling Rachael Sealy Phelan
SEALY PHELAN, AISLING RACHAEL
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3492340
eng
ispartofbook:From Trees to Wellness: How Forests Benefit Our Mind and Body
From Trees to Wellness: How Forests Benefit Our Mind and Body
ELETTRONICO
oai:www.research.unipd.it:11577/34662832024-03-23T04:24:56Zcom_11577_3160576com_11577_3160572col_11577_3160551
Seismic fragility and risk of Italian residential masonry heritage
Marco Dona
Li Xu
Pietro Carpanese
Veronica Follador
Francesca da Porto
Luca Sbrogio
Jan Kubica, Arkadiusz Kwiecień, Łukasz Bednarz
Dona', Marco
Xu, Li
Carpanese, Pietro
Follador, Veronica
DA PORTO, Francesca
Sbrogiò, Luca
Seismic risk mitigation at national scale requires the vulnerability assessment of the built stock, along with seismic hazard and exposure evaluation. In this work, the fragilities of more than 500 Italian unreinforced masonry (URM) residential buildings, related to an intermediate damage state DS (between severe and moderate), were calculated based on a mechanical approach (through the Vulnus_4.0 software). The fragility results were then processed for calibrating a macro-seismic vulnerability model available in the literature, in order to propose a fragility model based on the five DSs of the EMS98 scale and on some URM building macro-typologies. The model was then validated using the damage observations of the 2009 L’Aquila earthquake, contained in DaDO (Database of Observed Damage). Lastly, the fragility model was used to derive seismic damage maps and to carry out risk analyses (economic losses) on a national scale.
2020
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3466283
10.1201/9781003098508
info:eu-repo/semantics/altIdentifier/isbn/978-0-367-56586-2
https://www.taylorfrancis.com/books/edit/10.1201/9781003098508/brick-block-masonry-historical-sustainable-masonry-jan-kubica-arkadiusz-kwiecieÅ -Å ukasz-bednarz
eng
ispartofbook:Brick and Block Masonry - From Historical to Sustainable Masonry: Proceedings of the 17th International Brick/Block Masonry Conference (17thIB2MaC 2020), July 5-8, 2020, Kraków, Poland 1st Edition
17th International Brick and Block Masonry Conference (17th IB2MaC 2020)
firstpage:136
lastpage:143
numberofpages:8
STAMPA
alleditors:Jan Kubica, Arkadiusz Kwiecień, Łukasz Bednarz
CRC Press
oai:www.research.unipd.it:11577/34567142024-03-23T12:19:01Zcom_11577_3160576com_11577_3160572col_11577_3160551
On the Compatibility Between the Minimalist Foundation and Constructive Set Theory
Maschio Samuele
Sabelli Pietro
Ulrich Berger, Johanna N. Y. Franklin, Florin Manea, Arno Pauly
Maschio, Samuele
Sabelli, Pietro
2022
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3456714
10.1007/978-3-031-08740-0_15
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85134187647
info:eu-repo/semantics/altIdentifier/wos/WOS:000876706900015
eng
eng
ispartofbook:CiE 2022: Revolutions and Revelations in Computability
Computability in Europe 2022: Revolutions and Revelations in Computability
firstpage:172
lastpage:185
numberofpages:14
serie:LECTURE NOTES IN COMPUTER SCIENCE
alleditors:Ulrich Berger, Johanna N. Y. Franklin, Florin Manea, Arno Pauly
Springer
oai:www.research.unipd.it:11577/35025352023-12-22T00:12:15Zcom_11577_3160576com_11577_3160572col_11577_3160551
Simple Extraction of the First Resonant Frequency via Integral Equation Method
Torchio, Riccardo
Lucchini, Francesco
Torchio, Riccardo
Lucchini, Francesco
The accurate determination of the first resonant frequency (FRF) is important for the design of electromagnetic (EM) devices and for establishing safety margins for their operation. However, the numerical extraction of the FRF typically involves a costly parametric sweep across operational frequencies. This article introduces a method for extracting the FRF based on energetic considerations and the PEEC scheme for the solution of EM problem. Despite its simplicity, the proposed approach significantly reduces the computational cost while maintaining a good accuracy compared to conventional methods. This advancement promises to enhance the efficiency and accuracy of FRF extraction in EM device characterization.
2023
info:eu-repo/semantics/conferenceObject
https://hdl.handle.net/11577/3502535
10.1109/EPEPS58208.2023.10314937
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85179619139
info:eu-repo/semantics/altIdentifier/isbn/979-8-3503-1798-5
eng
eng
ispartofbook:IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2023
IEEE Conference on Electrical Performance of Electronic Packaging and Systems, EPEPS 2023
Institute of Electrical and Electronics Engineers Inc.
oai_dc///col_11577_3160551/100