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Lecture Notes in computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2012年 7490 LNCS卷 V-VII页

作者： Träff, Jesper Larsson Benkner, Siegfried Dongarra, Jack Vienna University of Technology Faculty of Informatics Institute of Information Systems Favoritenstr. 16 1040 Vienna Austria University of Vienna Faculty of Computer Science Research Group Scientific Computing Währinger Str. 29/6.21 1090 Vienna Austria University of Tennessee Department of Electrical Engineering and Computer Science Knoxville TN 37996 United States

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Implementation and optimization of human tracking system using ARM embedded platform

Implementation and optimization of human tracking system usi...

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International Conference on Intelligent and Advanced systems, ICIAS

作者： Shen Khang Teoh Vooi Voon Yap Chit Siang Soh Patrick Sebastian Department of Computer and Communication Technology Centre for Information Systems and Software Technologies (CISST) Universiti Tunku Abdul Rahman Perak Malaysia Department of Electronic Engineering Faculty of Engineering and Green Technology Universiti Tunku Abdul Rahman Perak Malaysia Department of Electrical and Electronic Engineering Universiti Teknologi Petronas Bandar Seri Iskandar Perak Malaysia

computer vision is a field that includes methods for acquiring, processing, analyzing and understanding images. In the embedded world, computer vision applications have to fight with limited processing power and limited resources to achieve optimized algorithms and high performance. This paper presents work on implementing a human tracking system on both Intel based PC platform and embedded systems to optimize the algorithms for high performance. The algorithms are benchmarked on the Intel platform processor and BeagleBoard xM baed on low-power Texas Instruments (TI) DM3730 ARM processor. Functions and library in OpenCV which developed by Intel Corporation was utilized for building the human tracking algorithms.

关键词： Humans Histograms Image color analysis Libraries computer vision Cameras Signal processing algorithms

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Mixed reality games 12

Mixed reality games

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ACM 2012 Conference on computer Supported Cooperative Work Companion, CSCW'12

作者： Bonsignore, Elizabeth M. Hansen, Derek L. Toups, Zachary O. Nacke, Lennart E. Salter, Anastasia Lutters, Wayne College of Information Studies Human-Computer Interaction Lab. University of Maryland College Park MD United States School of Technology Ira A. Fulton College of Engineering and Technology Brigham Young University Provo UT United States Crisis Response Innovative Technologies Lab. Texas Center for Applied Technology Texas A and M University College Station TX 77840 United States Faculty of Business and IT University of Ontario Institute of Technology 2000 Simcoe St N Oshawa ON L1H 7K4 Canada School of Information Arts and Technologies University of Baltimore 1420 N. Charles St. Baltimore MD 21201 United States Information Systems UMBC 1000 Hilltop Circle Baltimore MD 21250 United States

ISBN: (纸本)9781450310512

Collaborative technologies increasingly permeate our everyday lives. Mixed reality games use these technologies to entertain, motivate, educate, and inspire. We understand mixed reality games as goal-directed, structured play experiences that are not fully contained by virtual or physical worlds. They transform existing technologies, relationships, and places into platforms for gameplay. While the design of mixed reality games has received increasing attention across multiple disciplines, a focus on the collaborative potential of mixed reality formats, such as augmented and alternate reality games, has been lacking. We believe the CSCW community can play an essential and unique role in examining and designing the next generation of mixed reality games and technologies that support them. To this end, we seek to bring together researchers, designers, and players to advance an integrated mixed reality games' research canon and outline key opportunities and challenges for future research and development. © 2012 Authors.

关键词： Augmented reality

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Poster abstracts

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Sleep and Biological Rhythms 2016年第1期5卷 A1-A189页

作者： J. Ferrie M. Shipley F. Cappuccio E. Brunner M. Miller M. Kumari M. Marmot A. Coenen J. L. Castillo F. Araya G. Bustamante L. Montecino C. Torres S. Oporto J. Gronli E. Fiske R. Murison B. Bjorvatn E. Sorensen R. Ursin C. M. Portas S. Rajaraman A. Gribok N. Wesensten T. Balkin J. Reifman N. Dursunoglu S. Ozkurt S. Baser O. Delen S. Sarikaya P. Sadler P. Mitchell D. Françon M. Decobert B. Herve A. Richard G. Griebel P. Avenet B. Scatton G. L. Fur D. Eckert A. Jordan A. Wellman S. Smith A. Malhotra D. White D. Bruck I. Thomas A. Kritikos W. Oertel K. Stiasny-Kolster D. Garcia-Borreguero W. Poewe B. Hoegl R. Kohnen E. Schollmayer J. Keffel C. Trenkwalder A. Valle S. Roizenblatt F. Fregni P. Boggio S. Tufik K. Ward L. Robertson L. Palmer P. Eastwood D. Hillman J. Lee S. Mukherjee V. de Padova G. Barbato G. Ficca I. Zilli P. Salzarulo M. Veldi T. Hion V. Vasar M. Kull L. Nowak J. Davis Y. Latzer O. Tzischinsky S. Crowley M. Carskadon M. Anca-Herschkovitsch D. Frey J. Ortega C. Wiseman C. Farley K. Wright A. Campbell A. Neill K. Spiegel R. Leproult E. Tasali N. Scherberg E. van Cauter A. T. Noradina N. A. Karim I. Norlinah A. A. Raymond R. Sahathevan B. Hamidon E. Werth R. Poryazova R. Khatami C. Bassetti R. G. Beran L. Ainley G. Holand J. Duncan H. Kinney B. Davis B. Hood S. Frey C. Schmidt M. Hofstetter P. Peigneux C. Cajochen W.-P. Hu J.-D. Li C. Zhang L. Boehmer J. Siegel Q.-Y. Zhou Y. Sagawa H. Kondo T. Takemura H. Kanayama Y. Kaneko M. Sato T. Kanbayashi Y. Hishikawa T. Shimizu A. Viola L. James L. Schlangen D.-J. Dijk R. Andretic Y.-C. Kim K.-A. Han F. Jones R. Greenspan L. Sanford L. Yang X. Tang K. Dieter E. Uta H. Sven M. Richard N. Oyane S. Pallesen F. Holsten Y. Inoue M. Fujita N. Emura K. Kuroda N. Uchimura A. Johnston J. Astbury G. Kennedy K. Hoedlmoser M. Schabus T. Pecherstorfer S. Moser G. Gruber P. Anderer W. Klimesch N. Naidoo M. Ferber A. Pack D. Neu O. Mairesse G. Hoffmann A. Dris L. Lambrecht P. Linkowski P. Verbanck O. Le Bon N. Matsuura M. Yamao N. Adachi R. Aritomi Y. Komada H. Tanaka S. Shirak University College London London UK University College London London USA Warwick Medical School London UK Warwick Medical School Coventry USA Radboud University Nijmegen Nijmegen Netherlands Department of Neurology University of Chile Santiago Chile Neurology Service Hospital del Salvador Santiago Chile Family Health Center Juan Pablo II Santiago Chile Department of Biomedicine Section on Physiology Univeristy of Bergen Bergen Norway Department of Public Health and Primary Health Care Univeristy of Bergen Bergen Norway Department of Public Health and Primary Health Care University of Bergen Bergen Norway Norwegian Competence Center for Sleep Disorders Haukeland University Hospital Bergen Norway Department of Child and Adolescent Psychiatry Haukeland University Hospital Univeristy of Bergen Bergen Norway Department of Biomedicine University of Bergen Bergen Norway US Army Medical Research and Materiel Command Fort Detrick Frederick USA Walter Reed Army Institute of Research Silver Spring USA Department of Behavioral Biology Walter Reed Army Institute of Research Silver Spring USA Faculty Department of Pulmonology Pamukkale University Medical Denizli Turkey University of Ballarat Ballarat Australia Sanofi-Aventis Recherche et Developpement Paris France Brigham and Women’s Hospital Harvard Medical School Boston USA The University of Queensland Adelaide Australia School of Psychology University of Queensland Brisbane Australia The University of Queensland Brisbane Australia Victoria University Melbourne Australia Department of Psychology Victoria University Melbourne Australia School of Psychology Victoria University Melbourne Australia Philips-Universität Marburg Germany Philips-Universitaet-Marburg Marburg Germany Instituto de Investigaciones del Sueno Madrid Spain Universitätsklinik für Neurologie Innsbruck Austria Universitaetsklinik fuer Neurologie Innsbruck Austria IMEREM GmbH Nuernberg Germany Schwarz Pharma AG Monheim Germany

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Generating activity streams from events occurring in company-internal IT infrastructures

Generating activity streams from events occurring in company...

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2011 IEEE 13th International Conference on Communication technology, ICCT 2011

作者： Khaled Reza, S.M. Mohsin Reza, S.M. Distributed Systems Engineering Faculty of Computer Science Dresden University of Technology Dresden Germany Embedded Systems Engineering Faculty of Computer Science Electrical Engineering and Information Technology University of Stuttgart Germany

ISBN: (纸本)9781612843070

In the current era of technology, the Internet and web technologies become the center source of information. Due to the huge amount of contents, one of the main challenges of modern information technology is aimed at how to reduce and manage information in a structured way with mobilizing users to the similar kind of relevant information. So, any intelligent system should be able to understand people's interest about a particular type of information and automatically mobilize him to the similar kind of available information sources. The idea of high level Activity Streams along with its standardized format can play a vital role to solve this problem in the broader context. This paper introduces a novel system called CoASGen (Consolidation and Activity Streams Generator) which is able to automatically generate high level Activity Streams after aggregating and consolidating from different independent systems (e.g. in a software company context: version management system, wikis, bug trackers etc.). It retrieves life time information as heterogeneous web feed by sensing user activities from those independent systems and then it transforms several similar types of atomic activities into high level Activity Streams using semantic technologies along with its specific standardized format. Finally, it shows these high level Activity Streams to the user interface which is able to automatically motivate users to find relevant information easily without either missing any data or losing valuable time. This system solves the problem "data silos" by reducing and managing information in a structured way. © 2011 IEEE.

关键词： Intelligent systems

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A study of parallelizing O(N) Green-function-based Monte Carlo method for many fermions coupled with classical degrees of freedom

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Journal of Physics: Conference Series 2013年第1期454卷

作者： Shixun Zhang Shinichi Yamagia Seiji Yunoki Department of Computer Science University of Tsukuba Tsukuba Ibaraki 305-8573 Japan Faculty of Engineering Information and Systems University of Tsukuba / JST PRESTO 1-1-1 Tennodai Tsukuba Ibaraki 305-8573 Japan Computational Condensed Matter Physics Laboratory RIKEN ASI Wako Saitama 351-0198 Japan Computational Materials Science Research Team RIKEN AICS Kobe Hyogo 650-0047 Japan CREST Japan Science and Technology Agency Kawaguchi Saitama 332-0012 Japan

Models of fermions interacting with classical degrees of freedom are applied to a large variety of systems in condensed matter physics. For this class of models, Weiße [Phys. Rev. Lett. 102, 150604 (2009)] has recently proposed a very efficient numerical method, called O(N) Green-Function-Based Monte Carlo (GFMC) method, where a kernel polynomial expansion technique is used to avoid the full numerical diagonalization of the fermion Hamiltonian matrix of size N, which usually costs O(N3) computational complexity. Motivated by this background, in this paper we apply the GFMC method to the double exchange model in three spatial dimensions. We mainly focus on the implementation of GFMC method using both MPI on a CPU-based cluster and Nvidia's Compute Unified Device Architecture (CUDA) programming techniques on a GPU-based (Graphics Processing Unit based) cluster. The time complexity of the algorithm and the parallel implementation details on the clusters are discussed. We also show the performance scaling for increasing Hamiltonian matrix size and increasing number of nodes, respectively. The performance evaluation indicates that for a 323 Hamiltonian a single GPU shows higher performance equivalent to more than 30 CPU cores parallelized using MPI.

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Characteristics of computational intelligence (quantitative approach)

Characteristics of computational intelligence (quantitative ...

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22nd Midwest Artificial Intelligence and Cognitive Science Conference 2011, MAICS 2011

作者： Vafadar, Shiva Barfourosh, Ahmad Abdollahzadeh Intelligent Systems Lab Computer Engineering and Information Faculty Amirkabir University of Technology Tehran Iran

These days, intelligence is one of the features of software agents. However, developing this feature via a systematic software engineering approach suffers from some shortages. One of the open issues is related to specifying intelligence features that are expected from intelligent agents. The source of the problem is different definitions of intelligence that are presented from different perspectives. Consequently, there is not a predefined set of characteristics for intelligence that can be used as a baseline for specifying intelligence requirements of the system. As a result, intelligence is defined (or interpreted) differently between various stakeholders of the system. This will lead to the ambiguity of the requirements, which is the source of serious problems in developing software systems. In this paper, we look at intelligence of agents from a software engineering point of view. In this way, we analyze more than 70 different definitions of intelligence (in different areas such as public notions, psychology and AI) to extract different characteristics that are considered as features of intelligence. By eliminating non-computational capabilities of intelligence, we investigate a set of characteristics of computational intelligence. In this way, we use a quantitative approach. We rank identified characteristics according to the frequency of their appearance in various definitions. The result is that learning, adaptation to new situations and environment, goal-orientation, problem solving, acquiring and using knowledge and reasoning are the top ranked issues of intelligence. Because the extracted features belong to different levels of abstraction, we classify them into four groups that are non-functional, general capabilities, basic AI techniques and Infrastructural. In addition, we investigate the relationship between intelligence characteristics (e.g. learning) and the other quality attributes of software systems.

关键词： Problem solving

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Evolutionary value function approximation

Evolutionary value function approximation

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IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning

作者： Davarynejad, Mohsen Van Ast, Jelmer Vrancken, Jos Van Den Berg, Jan Faculty of Technology Policy and Management Section of Systems Engineering Delft University of Technology Netherlands Delft Center for Systems and Control Delft University of Technology Netherlands Faculty of Technology Policy and Management Section of Information and Communication Technologies Delft University of Technology Netherlands

ISBN: (纸本)9781424498888

The standard reinforcement learning algorithms have proven to be effective tools for letting an agent learn from its experiences generated by its interaction with an environment. In this paper an evolutionary approach is proposed to accelerate learning speed in tabular reinforcement learning algorithms. In the proposed approach, in order to accelerate the learning speed of agents, the state-value is not only approximated, but through using the concept of evolutionary algorithms, they are evolved, with extra bonus of giving each agent the opportunity to exchange its knowledge. The proposed evolutionary value function approximation, helps in moving from a single isolated learning stage to cooperative exploration of the search space and accelerating learning speed. The performance of the proposed algorithm is compared with the standard SARSA algorithm and some of its properties are discussed. The experimental analysis confirms that the proposed approach has higher convergent speed with a negligible increase in computational complexity. © 2011 IEEE.

关键词： Evolutionary algorithms

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Generation of discrete frequency and wavelength for secured computer networks system using integrated ring resonators

Generation of discrete frequency and wavelength for secured ...

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International Conference on computer and Communication engineering, ICCCE

作者： I. S. Amiri k. Sarkhanlou A. Nikoukar A. Shahidinejad J. Ali P. P. Yupapin Institute of Advanced Photonics Science Nanotechnology Research Alliance Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Department of Computer Software Engineering Comprehensive University of Applied and Practical Sciences Ardebil Iran Faculty of Computer Science & Information Systems (FCSIS) Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Advanced Research Center for Photonics Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

In this study, a system of discrete optical pulse generation via a series of microring resonator (MRR) is presented. Chaotic signals can be generated by an optical soliton or a Gaussian pulse within a MRR system. Large bandwidth signals of optical soliton are generated by input pulse propagating within the MRRs, which can be used to form continuous wavelength or frequency with large tunable channel capacity. Therefore, distinguished discrete wavelength or frequency pulses can be generated by using localized spatial pulses via a networks communication system. Selected discrete pulses are more suitable to generate high-secured quantum codes because of the large free spectral range (FSR). Quantum codes can be generated by using a polarization control unit and a beam splitter, incorporating to the MRRs. In this work, frequency band of 10.7 MHz and 16 MHz and wavelengths of 206.9 nm, 1448 nm, 2169 nm and 2489 nm are localized and obtained which can be used for quantum codes generation applicable for secured networks communication.

关键词： Optical solitons Optical filters Optical pulses Optical ring resonators Nonlinear optics Optical polarization

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Multi optical Soliton generated by PANDA ring resonator for secure network communication

Multi optical Soliton generated by PANDA ring resonator for ...

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International Conference on computer and Communication engineering, ICCCE

作者： I. S. Amiri M. Ranjbar A. Nikoukar A. Shahidinejad J. Ali P. P. Yupapin Institute of Advanced Photonics Science Nanotechnology Research Alliance Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Faculty of Electrical Engineering Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Faculty of Computer Science & Information Systems (FCSIS) Universiti Teknologi Malaysia (UTM) Johor Bahru Malaysia Advanced Research Center for Photonics Faculty of Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

In this study, new system of quantum cryptography for network communication is proposed. Multi optical Soliton can be generated and propagate via a nonlinear modified add/drop interferometer system incorporated with a time division multiple access (TDMA) system wherein the transportation of quantum codes is performed. To increase the channel capacity and security of the signals, the PANDA ring resonator is proposed. Chaotic output signals from the PANDA ring resonator are input into the add/drop filter system. Chaotic signals can be filtered by using the add/drop filter system in which multi dark and bright solitons can be obtained and used to generate entangled quantum codes for internet security. In this study soliton pulses with FWHM and FSR of 325 pm and 880 nm are generated, respectively, where the Gaussian pulse with a centre wavelength of 1.55 μm and power of 600 mW is input into the system.

关键词： Optical ring resonators Resonator filters Optical filters Optical solitons Time division multiple access Chaos

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