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International Conference on Interactive Digital and Media

作者： Marzuki Agus Sukoco Maria S. Febrianti School of Electrical Engineering and Informatics Institut Teknologi Bandung Bandung Indonesia Computer Science Faculty Bandar Lampung University Lampung Indonesia

ISBN: (纸本)9781509016709

Social robot acts based on any perceived information to interact and communicate with humans or other robots. One essential type of information is visual-based information captured by camera. Visual data from camera is processed to extract essential information through different perspectives such as gesture detection, facial recognition, sign and object detection, and text understanding. As an intelligent agent, the social robot should be able to determine and perform socially rational action autonomously based on the processed information. In this paper, a general framework of visual-based information process to produce rational action is presented. The proposed architecture is implemented on a platform of humanoid robot as a test subject.

关键词： social robot rational action computer vision image processing

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An approach based on genetic algorithm for solving 2D cutting problem with items of irregular shapes 15

An approach based on genetic algorithm for solving 2D cuttin...

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7th ACM International Conference on Management of Computational and Collective IntElligence in Digital EcoSystems, MEDES 2015

作者： Gava, Marisa Carla Voigt Rosario, Cristian Derik Paulino Filho, Antonio Gregorio De Araújo, Sidnei Alves Industrial Engineering Post-Graduation Program Av. Francisco Matarazzo 612 Água Branca São Paulo SP05001-100 Brazil Departament of Informatics Computer Science Undergraduation Course Rua Vergueiro 235/249 Liberdade São Paulo SP01504-001 Brazil Informatics and Knowledge Management Post-Graduation Program Av. Francisco Matarazzo 612 Água Branca São Paulo SP05001-100 Brazil

ISBN: (纸本)9781450334808

In this paper we proposed an approach based on genetic algorithm (GA) and digital image processing (DIP) to deal with the problem of cutting identical items (pieces) with irregular shapes in metal plates (objects). The goal is to maximize the number of items to be cut in the available area of the object. In this approach both object and the items are depicted as color images. The GA is responsible for generating the solutions, each one represented by a vector containing a set of translations and angles that indicate the positions and orientations for cutting the pieces. The evaluation of each solution generated by GA is performed by an image analysis algorithm that basically detects overlapping among the items placed on the object. Preliminary experiments indicate that the use of GA combined with DIP is a good alternative for solving the investigated problem. © 2015 ACM.

关键词： Genetic algorithms

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Dimensioning Microwave Wireless Networks

Dimensioning Microwave Wireless Networks

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IEEE International Conference on Communications

作者： Alvinice Kodjo Brigitte Jaumard Napoleao Nepomuceno Mejdi Kaddour David Coudert Inria France & Univ. Nice Sophia Antipolis Department of Computer Science and Software Engineering Concordia University Montreal Graduate Program in Applied Informatics University of Fortaleza Department of Computer Science University of Oran

ISBN: (纸本)9781467364300

We aim at dimensioning fixed broadband microwave wireless networks under unreliable channel conditions. As the transport capacity of microwave links is prone to variations due to, e.g., weather conditions, such a dimensioning requires special attention. It can be formulated as the determination of the minimum cost bandwidth assignment of the links in the network for which traffic requirements can be met with high probability, while taking into account that transport link capacities vary depending on channel conditions. The proposed optimization model represents a major step forward since we consider dynamic routing. Experimental results show that the resulting solutions can save up to 45% of the bandwidth cost compared to the case where a bandwidth over-provisioning policy is uniformly applied to all links in the network planning. Comparisons with previous work also show that we can solve much larger instances in significantly shorter computing times, with a comparable level of reliability.

关键词： Bandwidth Modulation Pricing Reliability Microwave communication Routing

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Search for pair production of heavy vector-like quarks decaying into high-pT W bosons and top quarks in the lepton-plus-jets final state in pp collisions at √s=13 TeV with the ATLAS detector

arXiv

引用

arXiv 2018年

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abhayasinghe, D.K. Abidi, S.H. AbouZeid, O.S. Abraham, N.L. Abramowicz, H. Abreu, H. Abulaiti, Y. Acharya, B.S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A.A. Afik, Y. Agheorghiesei, C. Ahmadov, F. Aielli, G. Akatsuka, S. Åkesson, T.P.A. Akilli, E. Akimov, A.V. Alberghi, G.L. Albert, J. Albicocco, P. Verzini, M.J. Alconada Alderweireldt, S. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alison, J. Alkire, S.P. Allaire, C. Allbrooke, B.M.M. Allen, B.W. Allport, P.P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A.A. Alstaty, M.I. Gonzalez, B. Alvarez Piqueras, D. Álvarez Alviggi, M.G. Amadio, B.T. Coutinho, Y. Amaral Ambroz, L. Amelung, C. Amidei, D. Dos Santos, S.P. Amor Amoroso, S. Amrouche, C.S. Anastopoulos, C. Ancu, L.S. Andari, N. Andeen, T. Anders, C.F. Anders, J.K. Anderson, K.J. Andrei, V. Anelli, C.R. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A.V. Annovi, A. Antel, C. Anthony, M.T. Antonelli, M. Antrim, D.J.A. Anulli, F. Aoki, M. Bella, L. Aperio Arabidze, G. Arai, Y. Araque, J.P. Ferraz, V. Araujo Pereira, R. Araujo Arce, A.T.H. Ardell, R.E. Arduh, F.A. Arguin, J.-F. Argyropoulos, S. Armbruster, A.J. Armitage, L.J. Armstrong, A. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asimakopoulou, E.M. Asquith, L. Assamagan, K. Astalos, R. Atkin, R.J. Atkinson, M. Atlay, N.B. Augsten, K. Avolio, G. Avramidou, R. Axen, B. Ayoub, M.K. Azuelos, G. Baas, A.E. Baca, M.J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Bailey, A.J. Baines, J.T. Bajic, M. Bakalis, C. Baker, O.K. Bakker, P.J. Gupta, D. Bakshi Baldin, E.M. Balek, P. Balli, F. Balunas, W.K. Banas, E. Bandyopadhyay, A. Banerjee, S. Bannoura, A.A.E. Barak, L. Barbe, W.M. Barberio, E.L. Barberis, D. Barbero, M. Barillari, T. Barisits, M.-S. Barkeloo, J. Barklow, T. Department of Physics University of Adelaide Adelaide Australia Physics Department SUNY Albany AlbanyNY United States Department of Physics University of Alberta EdmontonAB Canada Department of Physics Ankara University Istanbul Aydin University Istanbul Division of Physics TOBB University of Economics and Technology Ankara Turkey LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France High Energy Physics Division Argonne National Laboratory ArgonneIL United States Department of Physics University of Arizona TucsonAZ United States Department of Physics University of Texas at Arlington ArlingtonTX United States Physics Department National and Kapodistrian University of Athens Athens Greece Physics Department National Technical University of Athens Zografou Greece Department of Physics The University of Texas at Austin AustinTX United States Bahcesehir University Faculty of Engineering and Natural Sciences Istanbul BilgiUniversity Faculty of Engineering and Natural Sciences Department of Physics Engineering Gaziantep University Gaziantep Turkey Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Barcelona Institute of Science and Technology Barcelona Spain Beijing China Institute of Physics University of Belgrade Belgrade Serbia Department for Physics and Technology University of Bergen Bergen Norway Physics Division Lawrence Berkeley National Laboratory University of California BerkeleyCA United States Department of Physics Humboldt University Berlin Germany Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland School of Physics and Astronomy University of Birmingham Birmingham United Kingdom Centro de Investigaciones Universidad Antonio Narino Bogota Colombia Dipartimento di Fisica e Astronomia Università di Bologna Bologna INFN Sezione di Bologna Italy Physikalisches Institut University of Bonn Bonn Germany De

A search is presented for the pair production of heavy vector-like B quarks, primarily targeting B quark decays into a W boson and a top quark. The search is based on 36.1 fb−1 of pp collisions at √s = 13 TeV recorded in 2015 and 2016 with the ATLAS detector at the CERN Large Hadron Collider. Data are analysed in the lepton-plus-jets final state, characterised by a high-transverse-momentum isolated electron or muon, large missing transverse momentum, and multiple jets, of which at least one is b-tagged. No significant deviation from the Standard Model expectation is observed. The 95% confidence level lower limit on the B mass is 1350 GeV assuming a 100% branching ratio to Wt. In the SU(2) singlet scenario, the lower mass limit is 1170 GeV. This search is also sensitive to a heavy vector-like B quark decaying into other final states (Zb and Hb) and thus mass limits on B production are set as a function of the decay branching ratios. The 100% branching ratio limits are found to be also applicable to heavy vector-like X production, with charge +5/3, that decay into Wt. Copyright © 2018, The Authors. All rights reserved.

关键词： Vectors

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Feature extraction methods for batik pattern recognition: A review

引用

AIP Conference Proceedings 2016年第1期1755卷

作者： Anita Ahmad Kasim Retantyo Wardoyo Agus Harjoko 1Doctoral Program of Department of Computer Sciences and Electronics Instrumentations Universitas Gadjah Mada Yogyakarta Indonesia 2Department of Informatics Engineering Faculty of Engineering Universitas Tadulako Palu Indonesia 3Department of Computer Sciences and Electronics Instrumentations Faculty of Mathematics and Natural Sciences Universitas Gadjah Mada Yogyakarta Indonesia

Batik is one of the world’s cultural heritages with various decorative patterns. Each batik has its unique pattern characteristic such as color intensity, ornament visualisation and ornament size. Batik with a large-sized ornament and a high-intensity color on its background will result in a clear edge and easy-to-recognise ornaments. While batik with a small-sized ornament and a low-intensity color of the background will produce slight edge ornaments, thus it becomes difficult to recognise. In order to recognise any patterns of batik, some features that can represent each pattern are becomes necessary. Batik pattern features can be obtained from various methods of feature extraction. This paper will address various methods of feature extraction of batik for recognising batik patterns. These methods of feature extraction are categorised into several groups based on visual features produced by batik including feature extraction of color, texture formed in batik, and shape of batik ornament. The grouping of extraction methods in batik aims to describe the methods for extracting features from batik pattern to improve the recognition level of batik pattern.

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Measurement of dijet azimuthal decorrelations in p p collisions at √ s = 8 TeV with the ATLAS detector and determination of the strong coupling

arXiv

引用

arXiv 2018年

作者： Aaboud, M. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S.H. AbouZeid, O.S. Abraham, N.L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B.S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, M. Adye, T. Affolder, A.A. Afik, Y. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J.A. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T.P.A. Akilli, E. Akimov, A.V. Alberghi, G.L. Albert, J. Albicocco, P. Alconada Verzini, M.J. Alderweireldt, S. Aleksa, M. Aleksandrov, I.N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, M. Ali, B. Aliev, M. Alimonti, G. Alison, J. Alkire, S.P. Allbrooke, B.M.M. Allen, B.W. Allport, P.P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A.A. Alstaty, M.I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, M.G. Amadio, B.T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S.P. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L.S. Andari, N. Andeen, T. Anders, C.F. Anders, J.K. Anderson, K.J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A.V. Anjos, N. Annovi, A. Antel, C. Antonelli, M. Antonov, A. Antrim, D.J.A. Anulli, F. Aoki, M. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J.P. Araujo Ferraz, V. Arce, A.T.H. Ardell, R.E. Arduh, F.A. Arguin, J.-F. Argyropoulos, S. Arik, M. Armbruster, A.J. Armitage, L.J. Arnaez, O. Arnold, H. Arratia, M. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, M. Atlay, N.B. Augsten, K. Avolio, G. Axen, B. Ayoub, M.K. Azuelos, G. Baas, A.E. Baca, M.J. Bachacou, H. Bachas, K. Backes, M. Bagnaia, P. Bahmani, M. Bahrasemani, H. Baines, J.T. Bajic, M. Baker, O.K. Bakker, P.J. Baldin, E.M. Balek, P. Balli, F. Balunas, W.K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A.A.E. Barak, L. Barberio, E.L. Barberis, D. Barbero, M. Barillari, T. Barisits, M.-S. Barkeloo, J. Barklow, T. Barlow, N. Barnes, S.L. Department of Physics University of Adelaide Adelaide Australia Physics Department SUNY Albany AlbanyNY United States Department of Physics University of Alberta EdmontonAB Canada Department of Physics Ankara University Ankara Turkey Istanbul Aydin University Istanbul Turkey Division of Physics TOBB University of Economics and Technology Ankara Turkey LAPP Université Grenoble Alpes Université Savoie Mont Blanc CNRS/IN2P3 Annecy France High Energy Physics Division Argonne National Laboratory ArgonneIL United States Department of Physics University of Arizona TucsonAZ United States Department of Physics University of Texas at Arlington ArlingtonTX United States Physics Department National and Kapodistrian University of Athens Athens Greece Physics Department National Technical University of Athens Zografou Greece Department of Physics The University of Texas at Austin AustinTX United States Bahcesehir University Faculty of Engineering and Natural Sciences Istanbul Turkey Istanbul Bilgi University Faculty of Engineering and Natural Sciences Istanbul Turkey Department of Physics Bogazici University Istanbul Turkey Department of Physics Engineering Gaziantep University Gaziantep Turkey Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan Barcelona Institute of Science and Technology Barcelona Spain Institute of High Energy Physics Chinese Academy of Sciences Beijing China Department of Physics Nanjing University Jiangsu China Physics Department Tsinghua University Beijing China Beijing China Institute of Physics University of Belgrade Belgrade Serbia Department for Physics and Technology University of Bergen Bergen Norway Physics Division Lawrence Berkeley National Laboratory University of California BerkeleyCA United States Department of Physics Humboldt University Berlin Germany Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics University of Bern Bern Switzerland School of

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On the Perceived Quality Evaluation of Opportunistic Mobile P2P Scalable Video Streaming

On the Perceived Quality Evaluation of Opportunistic Mobile ...

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International Wireless Communications and Mobile Computing Conference

作者： Constandinos X. Mavromoustakis George Mastorakis Evangelos Pallis Charalambos Mysirlidis Tasos Dagiuklas Ilias Politis Ciprian Dobre Katerina Papanikolaou Computer Science Department University of Nicosia Department of Informatics Engineering Technological Educational Institute of Crete School of Science and Technology Hellenic Open University Faculty of Autonomic Control and Computers University Politehnica of Bucharest Department of Computer Science and Engineering European University Cyprus

ISBN: (纸本)9781479953455

This paper studies the evaluation of the video streaming over Mobile Peer-to-Peer (MP2P) networks using Scalable Video Coding. The proposed research framework exploits the MP2P diversity characteristics where each node acts as a Mobile Peer for every neighboring node in a relay-based communicating path. Mobile Peers use a common look-up table to request video streaming resources in order to estimate the video packets transfer duration in the end-to-end path. The collaborative streaming is achieved through the data packets replication policy, which uses a bounded upper time limitation for the video packets of each layer (Use of Scalable Video). Each node/device utilizes a specified amount of capacity for both channel and storage purposes. Different scenarios have been introduced in this paper towards evaluating the video streaming policy in the MP2P system, using a real-time probabilistic Fractional Brownian Motion (FBM) and a Random Waypoint (RWP) Mobility model. In both models, nodes move according to certain probabilities, location and time. Intermittent connectivity occurs while nodes claim video streams, whereas promiscuous caching policy enables -where possible-recoverability of lost packets offering priority to packets from the base layer. The simulation results show that FBM provides better objective and subjective quality results for two video sequences resolution, in the MP2P network configuration.

关键词： Mobile Peer-to-Peer Video Streaming Scalable Video Streaming Quality evaluation of video streaming

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ComProFITS: A web-based platform for human resources competence assessment

ComProFITS: A web-based platform for human resources compete...

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International Conference on Information, Intelligence, Systems and Applications (IISA)

作者： N. Mittas G. Kakarontzas M. Bohlouli L. Angelis I. Stamelos M. Fathi Department of Informatics Aristotle University of Thessaloniki Thessaloniki Greece Department of Computer Science and Engineering T.E.I. of Thessaly Larissa Greece Faculty of Science and Engineering University of Siegen Siegen Germany

An efficient assessment of human resource competences, followed by the goal oriented analysis of the results, support the identification of the competence gaps in organizations and the allocation of resources towards identified gaps. This paper presents the basic idea as well as the scientific and implementation results of the ComProFITS project as an innovative web-based platform for the evaluation of existing employees and the recruitment of new employees in organizations. The platform integrates research on the statistical assessment of competences, an innovative competence pyramid and many alternative methods of employee evaluation and recruitment. The initial version of the platform is being applied and used in the IT sector in a large organization in Spain with the goal of extending it to the Spanish and European wide enterprises in different sectors.

关键词： Organizations Recruitment Employment Training Numerical models Radar

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Data-driven analysis of kinaesthetic and tactile information for shape classification

Data-driven analysis of kinaesthetic and tactile information...

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IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications

作者： Thiago Eustaquio Alves de Oliveira Vinicius Prado da Fonseca Emanuil Huluta Paulo F. F. Rosa Emil M. Petriu School of Electrical Engineering and Computer Science University of Ottawa Faculty of Medicine Ottawa ON CA School of Electrical Engineering and Computer Science University of Ottawa Ottawa Canada Defense Engineering Graduate Program The Military Institute of Engineering Rio de Janeiro Brazil

Humans sense of touch consists in a complexity of sensors and nervous system. The information inferred by this system enables the daily dexterous manipulation tasks. In biological systems, there is no conscious prioritization of sensors while performing tactile exploration and the selection of exploratory movements is driven by learning instincts and data gathered by previous movements. The development of artificial systems tries to mimic such systems with engineered sensors and strategies for movement selection. This paper presents a data-driven analysis to the problem of sensor selection in the contour following for shape discrimination task. This task consists of a 4-DOF robotic finger exploring a set of 7 synthetic shapes. The data collected from the motors, inertial measurement unit, and magnetometer was analyzed applying principal component analysis and a multilayer perceptron neural network. Results show the variation of classification rate depending on the fingertip material and sensor considered. It is worth to observe that the magnetometer was the most robust in both cases.

关键词： Shape Magnetometers Robot sensing systems Principal component analysis Magnetic sensors

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Abstracts and Workshops 7th National Spinal Cord Injury Conference November 9-11, 2017 Fallsview Casino Resort Niagara Falls, Ontario, Canada Abstracts

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JOURNAL OF SPINAL CORD MEDICINE 2017年第6期40卷 813-869页

作者： [Anonymous] a NET Team Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. fo Neural Engineering and Therapeutic Team Lyndhurst Centre Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. c Rick Hansen Institute Vancouver BC Canada. ev Rick Hansen Institute Vancouver BC Canada. fc Stan Cassidy Hospital University of New Brunswick Fredericton NB Canada. fd Dalhousie University Halifax NS Canada. e University of Saskatchewan Saskatoon SK Canada. aa University of Calgary Calgary AB Canada. y Dalhousie University Halifax NS Canada. fa Health Sciences Centre Winnipeg MB Canada. fb University of Manitoba Winnipeg MB Canada. h University of Alberta Edmonton AB Canada. i Universite Laval Quebe c City QC Canada. bd Rick Hansen Institute Vancouver BC Canada. fz Clinician Investigator Lyndhurst Centre Toronto Rehabilitation Institute University Health Network and Assistant Professor Department of Medicine Division of Physical Medicine and Rehabilitation University of Toronto. v University of Toront o Toronto ON Canada. n Institute of Biomaterials and Biomedical Engineering University of Toronto Toronto ON Canada. o Toronto Rehabilitation Institute - University Health Network Toronto ON Canada. ga Clinical Scientist Lyndhurst Centre Toronto Rehabilitation Institute University Health Network and Assistant Professor Department of Physical Therapy University of Toronto. dx Department of Electrical and Computer Engineering University of Toronto Toronto ON Canada. fm Lawson Health Research Institute London ON Canada. r Parkwood Institute London ON Canada. bi Parkwood Institute London ON Canada. s University of British Columbia Vancouver BC Canada. t Simon Fraser University Burnaby BC Canada. u DeltaQuest Foundation Concord MA USA. z Institut national d'excellence en santé et en services sociaux (INESSS) Quebec City QC Ca

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