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2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017

作者： Zamansky, Anna Roshier, Amanda Mancini, Clara Collins, Emily C. Hall, Carol Grillaert, Katie Morrison, Ann North, Steve Wirman, Hanna Information Systems Department University of Haifa Israel School of Veterinary Medicine and Science University of Nottingham United Kingdom Animal-Computer Interaction Lab Open University Milton Keynes United Kingdom Sheffield Robotics University of Sheffield United Kingdom School of Animal Rural and Environmental Sciences Nottingham Trent University United Kingdom Messerli Research Institute University of Veterinary Medicine Medical University of Vienna University of Vienna Austria Department of Architecture Design and Media Technology Aalborg University Denmark Mixed Reality Laboratory University of Nottingham United Kingdom School of Design Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9781450346566

Animal-computer Interaction (ACI) is a new and quickly developing discipline, which is closely related to HCI and is making reference to some of its theoretical frameworks and research methodologies. The first edition of the Workshop on Research Methods in ACI (RM4ACI) was co-located with the Third International Conference on Animal-computer Interaction, which took place in Milton-Keynes, UK in November 2016. This paper presents an overview of the workshop, including insights from discussions on some of the challenges faced by the ACI community as it works to develop ACI as a discipline, and on important opportunities for cross-fertilization between HCI and ACI that the HCI community could consider. Copyright © 2017 by the Association for Computing Machinery, Inc. (ACM).

关键词： Animals

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Measurement of differential tt¯ production cross sections using top quarks at large transverse momenta in pp collisions at s=13 TeV

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Physical Review D 2021年第5期103卷 052008-052008页

作者： A. M. Sirunyan A. Tumasyan W. Adam F. Ambrogi T. Bergauer M. Dragicevic J. Erö A. Escalante Del Valle R. Frühwirth M. Jeitler N. Krammer L. Lechner D. Liko T. Madlener I. Mikulec N. Rad J. Schieck R. Schöfbeck M. Spanring S. Templ W. Waltenberger C.-E. Wulz M. Zarucki V. Chekhovsky A. Litomin V. Makarenko J. Suarez Gonzalez M. R. Darwish E. A. De Wolf D. Di Croce X. Janssen T. Kello A. Lelek M. Pieters H. Rejeb Sfar H. Van Haevermaet P. Van Mechelen S. Van Putte N. Van Remortel F. Blekman E. S. Bols S. S. Chhibra J. D’Hondt J. De Clercq D. Lontkovskyi S. Lowette I. Marchesini S. Moortgat Q. Python S. Tavernier W. Van Doninck P. Van Mulders D. Beghin B. Bilin B. Clerbaux G. De Lentdecker H. Delannoy B. Dorney L. Favart A. Grebenyuk A. K. Kalsi I. Makarenko L. Moureaux L. Pétré A. Popov N. Postiau E. Starling L. Thomas C. Vander Velde P. Vanlaer D. Vannerom L. Wezenbeek T. Cornelis D. Dobur I. Khvastunov M. Niedziela C. Roskas K. Skovpen M. Tytgat W. Verbeke B. Vermassen M. Vit G. Bruno F. Bury C. Caputo P. David C. Delaere M. Delcourt I. S. Donertas A. Giammanco V. Lemaitre J. Prisciandaro A. Saggio A. Taliercio M. Teklishyn P. Vischia S. Wuyckens J. Zobec G. A. Alves G. Correia Silva C. Hensel A. Moraes W. L. Aldá Júnior E. Belchior Batista Das Chagas W. Carvalho J. Chinellato E. Coelho E. M. Da Costa G. G. Da Silveira D. De Jesus Damiao S. Fonseca De Souza H. Malbouisson J. Martins D. Matos Figueiredo M. Medina Jaime M. Melo De Almeida C. Mora Herrera L. Mundim H. Nogima P. Rebello Teles L. J. Sanchez Rosas A. Santoro S. M. Silva Do Amaral A. Sznajder M. Thiel E. J. Tonelli Manganote F. Torres Da Silva De Araujo A. Vilela Pereira C. A. Bernardes L. Calligaris T. R. Fernandez Perez Tomei E. M. Gregores D. S. Lemos P. G. Mercadante S. F. Novaes Sandra S. Padula A. Aleksandrov G. Antchev I. Atanasov R. Hadjiiska P. Iaydjiev M. Misheva M. Rodozov M. Shopova G. Sultanov M. Bonchev A. Dimitrov T. Ivanov L. Litov B. Pavlov P. Petkov A. Petrov W. Fang Q. Guo H. Wang L. Yuan M. Ahmad Z. Hu Y. Wang E. Chapon G. M. Chen H. Yerevan Physics Institute Yerevan Armenia Institut für Hochenergiephysik Wien Austria Institute for Nuclear Problems Minsk Belarus Universiteit Antwerpen Antwerpen Belgium Vrije Universiteit Brussel Brussel Belgium Université Libre de Bruxelles Bruxelles Belgium Ghent University Ghent Belgium Université Catholique de Louvain Louvain-la-Neuve Belgium Centro Brasileiro de Pesquisas Fisicas Rio de Janeiro Brazil Universidade do Estado do Rio de Janeiro Rio de Janeiro Brazil Universidade Estadual Paulista São Paulo Brazil Universidade Federal do ABC São Paulo Brazil Institute for Nuclear Research and Nuclear Energy Bulgarian Academy of Sciences Sofia Bulgaria University of Sofia Sofia Bulgaria Beihang University Beijing China University of Illinois at Chicago (UIC) Chicago Illinois USA Department of Physics Tsinghua University Beijing China University of Virginia Charlottesville Virginia USA Institute of High Energy Physics Beijing China Massachusetts Institute of Technology Cambridge Massachusetts USA State Key Laboratory of Nuclear Physics and Technology Peking University Beijing China The University of Kansas Lawrence Kansas USA Sun Yat-Sen University Guangzhou China Institute of Modern Physics and Key Laboratory of Nuclear Physics and Ion-beam Application (MOE)—Fudan University Shanghai China Zhejiang University Hangzhou China Universidad de Los Andes Bogota Colombia Universidad de Antioquia Medellin Colombia University of Split Faculty of Electrical Engineering Mechanical Engineering and Naval Architecture Split Croatia University of Split Faculty of Science Split Croatia Institute Rudjer Boskovic Zagreb Croatia University of Cyprus Nicosia Cyprus Charles University Prague Czech Republic Escuela Politecnica Nacional Quito Ecuador Universidad San Francisco de Quito Quito Ecuador Academy of Scientific Research and Technology of the Arab Republic of Egypt Egyptian Network of High Energy Physics Cairo Egypt Center for High Energy Physic

A measurement is reported of differential top quark pair (tt¯) production cross sections, where top quarks are produced at large transverse momenta. The data collected with the CMS detector at the LHC are from pp collisions at a center-of-mass energy of 13 TeV corresponding to an integrated luminosity of 35.9 fb−1. The measurement uses events where at least one top quark decays as t→Wb→qq¯′b and is reconstructed as a large-radius jet with transverse momentum in excess of 400 GeV. The second top quark is required to decay either in a similar way or leptonically, as inferred from a reconstructed electron or muon, a bottom quark jet, and missing transverse momentum due to the undetected neutrino. The cross section is extracted as a function of kinematic variables of individual top quarks or of the tt¯ system. The results are presented at the particle level, within a region of phase space close to that of the experimental acceptance, and at the parton level and are compared to various theoretical models. In both decay channels, the observed absolute cross sections are significantly lower than the predictions from theory, while the normalized differential measurements are well described.

关键词： Top quark Hadron colliders

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Development and integration of a HEMS with an advanced smart metering infrastructure

Development and integration of a HEMS with an advanced smart...

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IEEE International Conference on Consumer Electronics (ICCE)

作者： Enrique Rodriguez-Diaz Emilio J. Palacios-Garcia Mehdi Savaghebi Juan C Vasquez Josep M. Guerrero Energy Technology Department Aalborg University Denmark Department of Computer Architecture University of Cordoba Spain

Advanced metering infrastructures (AMI) are required for the future smart grid operation by providing useful information about users' behavior as well as grid performance such as the consumption and power quality. This paper is focused on the development of a LabVIEW application for user-interface and implementation of a Home Energy Management System (HEMS) based on AMI.

关键词： Monitoring Smart meters Smart grids Microgrids Optimization Database systems Water heating

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Exploring brain networks via structured sparse representation of fMRI data 1

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1st International Workshop on Simulation and Synthesis in Medical Imaging, SASHIMI 2016 held in conjunction with 19th International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2016

作者： Zhao, Qinghua Lu, Jianfeng Lv, Jinglei Jiang, Xi Zhao, Shijie Liu, Tianming School of Computer Science and Engineering Nanjing University of Science and Technology Nanjing China School of Automation Northwestern Polytechnical University Xi’an China Cortical Architecture Imaging and Discovery Department of Computer Science and Bioimaging Research Center The University of Georgia AthensGA United States

ISBN: (数字)9783319467207

ISBN: (纸本)9783319467191

Investigating functional brain networks and activities using sparse representation of fMRI data has received significant interests in the neuroimaging field. It has been reported that sparse representation is effective in reconstructing concurrent and interactive functional brain networks. However,previous data-driven reconstruction approaches rarely simultaneously take consideration of anatomical structures,which are the substrate of brain function. Furthermore,it has been rarely explored whether structured sparse representation with anatomical guidance could facilitate functional networks reconstruction. To address this problem,in this paper,we propose to reconstruct brain networks using the anatomy-guided structured multi-task regression (AGSMR) in which 116 anatomical regions from the AAL template as prior knowledge are employed to guide the network reconstruction. Using the publicly available Human Connectome Project (HCP) Q1 dataset as a test bed,our method demonstrated that anatomical guided structure sparse representation is effective in reconstructing concurrent functional brain networks. © Springer International Publishing AG 2016.

关键词： Brain

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Making smart and accessible cities: An urban model based on the design of intelligent environments 5

Making smart and accessible cities: An urban model based on ...

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5th International Conference on Smart Cities and Green ICT Systems, SMARTGREENS 2016

作者： Pérez-Delhoyo, Raquel García-Mayor, Clara Mora-Mora, Higinio Gilart-Iglesias, Virgilio Andújar-Montoya, María Dolores Department of Building Sciences and Urbanism University of Alicante San Vicente del Raspeig - Alicante03690 Spain Department of Computer Technology and Computation Specialized Processors Architecture Laboratory University of Alicante San Vicente del Raspeig - Alicante03690 Spain

ISBN: (纸本)9789897581847

Improving citizens' quality of life is one of the main goals of Smart Cities development. Accessibility of urban public spaces absolutely determines the living conditions for people. technology provides new opportunities of autonomy for an increasing group of inhabitants with specific disabilities. This work proposes an urban model for improving accessibility based on the design of intelligent environments, with the automation of processes and functions in urban spaces, as a safe and effective way to promote inclusion and participation of all citizens. Finally, the most appropriate technologies to implement the model are discussed. © Copyright 2016 by SCITEPRESS - Science and technology Publications, Lda. All rights reserved.

关键词： Smart city

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Managing deadline-constrained bag-of-tasks jobs on hybrid clouds

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KSII Transactions on Internet and Information Systems 2016年第4期48卷

作者： Wang, Bo Song, Ying Sun, Yuzhong Liu, Jun Department of Computer Science and Technology Xi'an Jiaotong University Xi'an710049 China SKL Computer Architecture ICT CAS Beijing100190 China SPKLSTN Lab Department of Computer Science and Technology Xi'an Jiaotong University Xi'an710049 China

Outsourcing jobs to a public cloud is a cost-effective way to address the problem of satisfying the peak resource demand when the local cloud has insufficient resources. In this paper, we study on managing deadline-constrained bag-of-tasks jobs on hybrid clouds. We present a binary nonlinear programming (BNP) problem to model the hybrid cloud management where the utilization of physical machines (PMs) in the local cloud/cluster is maximized when the local resources are enough to satisfy the deadline constraints of jobs, while when not, the rent cost from the public cloud is minimized. To solve the BNP problem in polynomial time, we propose the heuristic algorithm whose main idea is assigning a task to a core of a used PM (in local cloud) or a rented virtual machine (VM) (in public cloud) such that the difference between the finish time of the task and its deadline is minimal in all of assignments. If none of unassigned tasks can be completed within its deadline, the algorithm adds an available PM with most capacity or rents a new VM with highest cost-performance ratio and assigns tasks to the new PM/VM as previous step. Extensive experimental results show that our heuristic algorithm saves 16.2%-76% cost and improves 47.3%-182.8% resource utilizations for finishing jobs within their respective deadlines with comparable overheads, compared with first fit decreasing algorithm. © 2016 Society for Modeling & Simulation International (SCS)

关键词： Heuristic algorithms

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Influence of photovoltaic installation angles and geographical dispersion in the smoothing of photovoltaic fleet power fluctuations

Influence of photovoltaic installation angles and geographic...

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International Conference on Environment and Electrical Engineering (EEEIC)

作者： Isabel Santiago David Trillo-Montero Emilio J. Palacios-Garcia Isabel M. Moreno-García Antonio Moreno-Munoz Department of Computer Architecture Electronic and Electronic Technology University of Córdoba Córdoba Spain

ISBN: (纸本)9781509023219

The smoothing effects obtained by aggregating the production of several photovoltaic (PV) plants were analyzed in this paper, taking into account not only the grouped peak power or the distance between different PV plants, but also considering the different azimuth and tilt angles of the PV modules. The reduction in fluctuations, one of the main disadvantages of this energy source, will only have its effects on the distribution grid if the production of all grouped PV installations is injected in the same line of the network. Therefore, if it is not possible to include in the ensemble far away installations, with uncorrelated productions, a solution may be to use different installation angles in the grouped plants, in order to improve the reduction of fluctuations in the aggregated production injected to the grid.

关键词： Production Inverters Smoothing methods Dispersion Fluctuations Photovoltaic systems

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Impact of the Mathematical Model Description on the Assessment of the Reliability of Structural Elements

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IOP Conference Series: Materials Science and Engineering 2017年第6期245卷

作者： Agnieszka Dudzik Faculty of Civil Engineering and Architecture Department of Mechanics Metal Structures and Computer Methods Kielce University of Technology Poland

The study presents a probabilistic approach to the problems of static analysis of structural elements. A steel and reinforced concrete elements were analysed. Structural design parameters were defined as deterministic values and random variables. The latter were not correlated. The criterion of structural failure is expressed by limit functions related to the ultimate limit state. In the performed analyses explicit form of the random variables function were used. The Hasofer-Lind index was used as a reliability measure. In the description of random variables were used the different types of probability distribution appropriate to the nature of the variable. Sensitivity of reliability index to the random variables was defined. If the reliability index sensitivity due to the random variable Xi is low when compared with other variables, it can be stated that the impact of this variable on failure probability is small. Therefore, in successive computations it can be treated as a deterministic parameter. Sensitivity analysis leads to simplify the description of the mathematical model, determine the new limit functions and values of the Hasofer-Lind reliability index. Besides the effect of the assumed level of the variation coefficient of selected random variables on value of the reliability index was determined. The primary research method is the FORM method. In order to verify the correctness of the calculation SORM, Monte Carlo and Importance Sampling methods were used. In the examples of reliability analysis the NUMPRESS program was used. In the considered issues the time was not taken into account explicitly.

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Reliability Assessment of Steel-Aluminium Lattice Tower

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IOP Conference Series: Materials Science and Engineering 2017年第3期245卷

作者： Agnieszka Dudzik Faculty of Civil Engineering and Architecture Department of Mechanics Metal Structures and Computer Methods Kielce University of Technology Poland

In the subject of the present study a probabilistic approach to the analysis of steelaluminium lattice tower was used. Structural design parameters are defined as the deterministic values and random variables. Random variables are not correlated. The criterion for structural failure is expressed the limits of functions referring to the serviceability limit state. The description of the limit state of structure implicit forms of the random variables function was used. The study presents a combination of the reliability analysis program with the MES3D external FEM program. The NUMPRESS software, created at the IFTR PAS, was used in the reliability analysis. The Hasofer-Lind reliability index, determined using an iterative procedure of Rackwitz-Fiessler, was used as a reliability measure. The values of reliability index for different cases of the vector of random variables, that is, different descriptions of mathematical model of the structure, were determined. The effect of assumed probability distribution of individual random variables on the value of the reliability index was determined. In the description of random variables, the different types of probability distribution were used and the values of the reliability index for the normal distribution and the distribution chosen according to the kind of a variable were compared. The primary research method is the FORM method. In order to verify the correctness of the calculation Monte Carlo and Importance Sampling methods are used. The relative error of the reliability index was calculated taking the simulation Monte Carlo method as a reference. The effectiveness of the primary research method was performed by comparing the number of calls of the limit state, which is connected with the calculation time. The sensitivity of reliability index to the random variables was defined.

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KM3NeT Core Collapse Supernovae observation program in standalone and multi-messenger modes 37

KM3NeT Core Collapse Supernovae observation program in stand...

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37th International Cosmic Ray Conference, ICRC 2021

作者： Coleiro, Alexis Dornic, Damien Kulikovskiy, Vladimir Lincetto, Massimiliano Molla, Marta Colomer Vannoye, Godefroy Ageron, M. Aiello, S. Albert, A. Alshamsi, M. Alves Garre, S. Aly, Z. Ambrosone, A. Ameli, F. Andre, M. Androulakis, G. Anghinolfi, M. Anguita, M. Anton, G. Ardid, M. Ardid, S. Assal, W. Aublin, J. Bagatelas, C. Baret, B. du Pree, S. Basegmez Bendahman, M. Benfenati, F. Berbee, E. van den Berg, A.M. Bertin, V. Beurthey, S. van Beveren, V. Biagi, S. Billault, M. Bissinger, M. Boettcher, M. Bou Cabo, M. Boumaaza, J. Bouta, M. Boutonnet, C. Bouvet, G. Bouwhuis, M. Bozza, C. Brânzaş, H. Bruijn, R. Brunner, J. Bruno, R. Buis, E. Buompane, R. Busto, J. Caiffi, B. Caillat, L. Calvo, D. Campion, S. Capone, A. Carduner, H. Carretero, V. Castaldi, P. Celli, S. Cereseto, R. Chabab, M. Champion, C. Chau, N. Chen, A. Cherubini, S. Chiarella, V. Chiarusi, T. Circella, M. Cocimano, R. Coelho, J.A.B. Coleiro, A. Colomer Molla, M. Colonges, S. Coniglione, R. Cosquer, A. Coyle, P. Cresta, M. Creusot, A. Cruz, A. Cuttone, G. D’Amico, A. Dallier, R. De Martino, B. De Palma, M. Di Palma, I. Díaz, A.F. Diego-Tortosa, D. Distefano, C. Domi, A. Donzaud, C. Dornic, D. Dörr, M. Drouhin, D. Eberl, T. Eddyamoui, A. van Eeden, T. van Eijk, D. El Bojaddaini, I. Eljarrari, H. Elsaesser, D. Enzenhöfer, A. Espinosa, V. Fermani, P. Ferrara, G. Filipović, M.D. Filippini, F. Fransen, J. Fusco, L.A. Gajanana, D. Gal, T. García Méndez, J. Garcia Soto, A. Garçon, E. Garufi, F. Gatius, C. Geißelbrecht, N. Gialanella, L. Giorgio, E. Gozzini, S.R. Gracia, R. Graf, K. Grella, G. Guderian, D. Guidi, C. Guillon, B. Gutiérrez, M. Haefner, J. Hallmann, S. Hamdaoui, H. van Haren, H. Heijboer, A. Hekalo, A. Hennig, L. Henry, S. Hernández-Rey, J.J. Hofestädt, J. Huang, F. Idrissi Ibnsalih, W. Ilioni, A. Illuminati, G. James, C.W. Janezashvili, D. Jansweijer, P. de Jong, M. de Jong, P. Jung, B.J. Kadler, M. Kalaczyński, P. Kalekin, O. Katz, U.F. Kayzel, F. Université de Paris CNRS Astroparticule et Cosmologie ParisF-75013 France Aix Marseille University CNRS IN2P3 CPPM Marseille France IINFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy Instituto de Física Corpuscular CSIC-Universitat de València c/Catedrático José Beltrán 2 Paterna ValenciaE-46980 Spain Ecole Normale Supérieure de Lyon 15 parvis René Descartes BP 7000 69342 LyonCedex 07 France Aix Marseille Univ CNRS IN2P3 CPPM Marseille France INFN Sezione di Catania Via Santa Sofia 64 Catania95123 Italy Université de Strasbourg CNRS IPHC UMR 7178 StrasbourgF-67000 France INFN CNAF v.le C. Berti-Pichat 6/2 Bologna40127 Italy IFIC - Instituto de Física Corpuscular CSIC - Universitat de València c/Catedrático José Beltrán 2 Paterna Valencia46980 Spain INFN Sezione di Napoli Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy Università di Napoli "Federico II" Dip. Scienze Fisiche "E. Pancini" Complesso Universitario di Monte S. Angelo Via Cintia ed. G Napoli80126 Italy INFN Sezione di Roma Piazzale Aldo Moro 2 Roma00185 Italy Universitat Politècnica de Catalunya Laboratori d’Aplicacions Bioacústiques Centre Tecnològic de Vilanova i la Geltrú Avda. Rambla Exposició s/n Vilanova i la Geltrú08800 Spain NCSR Demokritos Institute of Nuclear and Particle Physics Ag. Paraskevi Attikis Athens15310 Greece INFN Sezione di Genova Via Dodecaneso 33 Genova16146 Italy University of Granada Dept. of Computer Architecture and Technology CITIC Granada18071 Spain Friedrich-Alexander-Universität Erlangen-Nürnberg Erlangen Centre for Astroparticle Physics Erwin-Rommel-Straße 1 Erlangen91058 Germany Universitat Politècnica de València Instituto de Investigación para la Gestión Integrada de las Zonas Costeras C/Paranimf 1 Gandia46730 Spain Nikhef National Institute for Subatomic Physics PO Box 41882 Amsterdam1009 DB Netherlands University Mohammed V in Rabat Faculty of Sciences 4 av. Ibn Battout

The KM3NeT research infrastructure in the Mediterranean is a multi-purpose cubic-kilometre neutrino observatory consisting of two detectors optimised to study cosmic and atmospheric neutrinos between GeV to PeV energies. Additionally, KM3NeT multi-photomultiplier optical modules allow the detection of interaction products from neutrinos with energies of a few MeV by selecting nanosecond coincidences within the photomultipliers of the same module. The distribution of the number of photomultipliers forming a coincidence (multiplicity) for the duration of the supernova emission is used as a proxy of the average neutrino energy. Using an optimised coincidence selection the KM3NeT detectors will be sensitive to supernovae in our Galaxy and beyond. A high number of detected events from a core collapse supernova explosion is expected in KM3NeT thanks to its large effective volume. The measurement of the neutrino light curve properties, such as the light curve start time and the presence of the standing accretion shock instability oscillations is possible with such statistics. Sub-millisecond time synchronisation between KM3NeT detectors allows joint observation. Such a scheme can be also a viable solution to synchronise the KM3NeT telescopes with other detectors aiming to observe neutrino emission from core collapse supernovae through the SNEWS network. © Copyright owned by the author(s).

关键词： Photomultipliers

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