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IEEE International Conference on Social computing (SocialCom)

作者： Przemysaw Kazienko Piotr Bródka Katarzyna Musial Jarosaw Gaworecki Institute of Informatics Wroclaw University of Technology Wroclaw Poland Research & Engineering Center Wroclaw Poland Telnet Sp. z O.O. Wroclaw School of Design Engineering & Computing Bournemouth University Poole United Kingdom

A method for extraction of the multi-layered social network based on the data about human collaborative achievements, in particular scientific papers, is presented in the paper. The objects linking people form a hierarchy, which is flattened in the pre-processing stage. Only one level of the hierarchy remains together with new activities moved from its other levels. Separate layers of the multi-layered social network are created based on these pre-processed activities.

关键词： Social network services Tin Data mining Books Feature extraction Electronic mail Object recognition

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Video network traffic and quality comparison of VP8 and H.264 SVC

Video network traffic and quality comparison of VP8 and H.26...

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3rd Workshop on Mobile Video Delivery, MoViD 2010, Co-located with ACM Multimedia 2010

作者： Seeling, Patrick Fitzek, Frank H.P. Ertli, Gergö Pulipaka, Akshay Reisslein, Martin Dept. of Computing and New Media Technologies University of Wisconsin-Stevens Point Stevens Point WI 54481 United States Dept. of Electronic Systems University of Aalborg Aalborg DK-9220 Denmark Faculty of Electrical Engineering and Informatics Budapest University of Technology and Economics György square 3 1111 Budapest Goldmann Hungary School of Electrical Computer and Energy Engineering Arizona State University Tempe AZ 85287-5706 United States

ISBN: (纸本)9781450301657

Google has recently released the video compression format VP8 to the open source community. This new compression format competes against the existing H.264 video standard developed by the ITU-T Video Coding Experts Group (VCEG) in collaboration with the ISO/IEC Moving Picture Experts Group (MPEG). This paper compares these two video coding standards in terms of video bit rate-distortion (quality) performance and the video network traffic variability with different long video sequences. We find that VP8 presently does not fulfill its promise to achieve twice the quality at half the bandwidth compared to H.264. The rate-distortion (RD) performance of VP8 is rather slightly below the RD performance of H.264. On the positive side, in contrast to H.264, VP8 has no license fees.

关键词： Image compression

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Individual neighbourhood exploration in complex multi-layered social network

Individual neighbourhood exploration in complex multi-layere...

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2010 3rd IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Workshops, WI-IAT 2010

作者： Kazienko, Przemyslaw Brodka, Piotr Musial, Katarzyna Institute of Informatics Wroclaw University of Technology Wyb. Wyspianskiego 27 50-370 Wroclaw Poland School of Design Engineering and Computing Bournemouth University Poole Dorset BH12 5BB United Kingdom Telnet Sp. z o.o. Obrońców Poczty Gdańskiej 13a 52-204 Wroclaw Poland

ISBN: (纸本)9780769541914

Social networks can be extracted from different data about communication or common activities in organizations, companies or various Internet-based services. Different types of data processed may result in creation of separate layers in the complex multi-layered social network. Analysis of neighbourhoods of network members and their utilization to social group discovery appears to be an interesting and important research domain. Since there is no measure to evaluate structure of the neighbourhoods in the multi-layered social network, a new measure called cross layered multi-layered clustering coefficient (CLMCC) is proposed in the paper. It enables to analyse the density of mutual connections of neighbours that occur in at least a given number of layers in a social network. Additionally, experimental studies on real-world data are presented. © 2010 IEEE.

关键词： Network layers

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A sustainable data center with heat-activated cooling

A sustainable data center with heat-activated cooling

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Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITHERM)

作者： Anna Haywood Jon Sherbeck Patrick Phelan Georgios Varsamopoulos Sandeep K. S. Gupta School of Mechanical Aerospace Chemical & Materials Engineering Arizona State University Tempe AZ USA National Center of Excellence on SMART Innovations Arizona State University Tempe AZ USA School of Computing Informatics and Decision Systems Engineering Computer Science and Engineering Arizona State University Tempe AZ USA

Technological and economic trends in data centers push toward facilities operated at higher ambient temperatures and at higher power densities to meet ever-increasing computational demands. Conventionally, data centers are cooled with vapor-compressor equipment which requires extra power to be driven. This paper proposes an alternative and sustainable data center cooling architecture that is heat driven. The thermal source is the heat produced by the data center room's equipment. A major challenge is providing both enough cooling to the data center and enough exergy to drive the cooling process, regardless of the thermal output of the data center equipment. This challenge is addressed by the use of organic heat storage and a sustainably powered (i.e. solar-powered) heat source, leading potentially to a PUE (Power Usage Effectiveness) value of less than one.

关键词： Cooling Space heating Heat pumps Data flow computing High performance computing Thermal loading Poles and towers Data engineering Energy storage Aerospace materials

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β decay of 102Y produced in projectile fission of 238U

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Journal of Physics: Conference Series 2012年第1期381卷

作者： A M Bruce A M Denis Bacelar G Benzoni A Gadea M Górska A Gottardo S Pietri Zs Podolyák J J Valiente-Dobón J A Alcántara-Núñez N Al-Dahan A Algora N Alkhomashi P R P Allegro Y Ayyad P Boutachkov M Bowry M Bunce E Casarejos M L Cortés A Y Deo C Domingo-Prado M Doncel K Eppinger F Farinon G F Farrelly H Geissel J Gerl N Goel J Grȩbosz E Gregor T Haberman R Hoischen R Janik S Klupp I Kojouharov N Kurz S Lunardi S Mandal R Menegazzo D Mengoni F Naqvi R Nicolini C Nociforo T Pissulla A Prochazka W Prokopowicz P H Regan D Rudolph E Sahin H Schaffner A Sharma B Sitar Davinder Siwal K Steiger P Strmen I Szarka P M Walker H Weick H-J Wollersheim School of Computing Engineering and Mathematics University Of Brighton Brighton BN2 4GJ UK Università degli Studi e INFN sezione di Milano I-20133 Milano Italy IFIC CSIC-University of Valencia E-46071 Valencia Spain Gesellschaft für Schwerionenforschung mbH Planckstr 1 D-64291 Darmstadt Germany INFN-Laboratori Nazionali di Legnaro I-35020 Legnaro Italy Department of Physics University of Surrey Guildford GU2 7XH UK Universidade de Santiago de Compostela E-15782 Santiago de Compostela Spain Instituto de Física Universidade de São Paulo São Paulo Brazil Facultad de Física University of Vigo E-36310 Vigo Spain Laboratorio de Radiaciones Ionizantes Universidad de Salamanca E-37008 Salamanca Spain Physik-Department E12 Technische Universität München D-85748 Garching Germany Institute of Nuclear Physics IFJ PAN Kraków Poland Department of Physics Lund University S-22100 Lund Sweden Faculty of Mathematics Physics and Informatics Comenius University 84215 Bratislava Slovakia Università di Padova e INFN sezione di Padova Padova Italy Department of Physics and Astrophysics University of Delhi Delhi-110007 India Institut für Kernphysik Universität zu Köln Zülpicher Straße 77 D-50937 Köln Germany

The population of 102Zr following the β decay of 102Y produced in the projectile fission of 238U at the GSI facility in Darmstadt, Germany has been studied. 102Y is known to ß decay into 102Zr via two states, one of high spin and the other low spin. These states preferentially populate different levels in the 102Zr daughter. In this paper the intensities of transitions in 102Zr observed are compared with those from the decay of the low-spin level studied at the TRISTAN facility at Brookhaven National Laboratory and of the high-spin level studied at the JOSEF separator at the Kernforschungsanlage Jülich.

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Context-specific gene regulatory networks subdivide intrinsic subtypes of breast cancer

Context-specific gene regulatory networks subdivide intrinsi...

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4th International Workshop on Data and Text Mining in Biomedical informatics, DTMBIO'10, Co-located with 19th International Conference on Information and Knowledge Management, CIKM'10

作者： Nasser, Sara Cunliffe, Heather Black, Michael A. Kim, Seungchan Computational Biology Division Translational Genomics Research Institute 445 N. Fifth Street Phoenix AZ United States Breast and Ovarian Cancer Unit Computational Biology Division Translational Genomics Research Institute 445 N. Fifth Street Phoenix AZ United States Department of Biochemistry University of Otago New Zealand School of Computing Informatics and Decision Systems Engineering Arizona State University Tempe AZ United States

ISBN: (纸本)9781450303828

Breast cancer is a highly heterogeneous disease with respect to molecular alterations and cellular composition making therapeutic and clinical outcome unpredictable. This diversity creates a significant challenge in developing tumor classifications that are clinically reliable with respect to prognosis prediction. This paper describes an unsupervised context analysis to infer context-specific gene regulatory networks from 1,614 samples obtained from publicly available gene expression data, an extension of previously published method. The main focus of the paper, however, is to use the context-specific gene regulatory networks to classify the tumors into clinically relevant sub-groups and providing candidates for a finer sub-grouping of the previously known intrinsic tumors with focus on basal-like tumors. Further analysis of pathway enrichment of the key contexts provides an understanding of the biological mechanism for identified subtypes of breast cancers. © 2010 ACM.

关键词： Tumors

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Web log data clustering for a multi-agent recommendation system

Web log data clustering for a multi-agent recommendation sys...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： João C Xavier Alex A. Freitas Anne M. P. Canuto Luiz M. G. Gonçalves Universidade Federal do Rio Grande do Norte Natal RN BR School of Computing University of Kent Canterbury Kent UK Informatics and Applied Mathematics Department Federal University of Rio Grande do Norte Natal Brazil Computing and Automation Engineering Department Federal University of Rio Grande do Norte Natal Brazil

In this paper, we propose an automatic way of recommending information to be visualized by users. The list of information to be recommended is generated based on the web logs of the users stored by the system in a multi relational database. This system is a web-based multi-agent system which provides geographical information and monitors the actions of the users by generating logs. Frequently, the system joins the relational web log data and runs a clustering algorithm in order to recommend a list of most accessed information up to that moment to registered users who log in the system.

关键词： Clustering algorithms Indexes Sea measurements Monitoring Data mining Geographic Information Systems Relational databases

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Rule-based classification approach for railway wagon health monitoring

Rule-based classification approach for railway wagon health ...

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International Joint Conference on Neural Networks (IJCNN)

作者： G M Shafiullah A B M Shawkat Ali Adam Thompson Peter J Wolfs College of Engineering and Built Environment Faculty of Sciences Engineering and Health CQ University Australia QLD Australia School of Computing Sciences Faculty of Arts Business Informatics & Education CQ University Australia QLD Australia College of Engineering & Built Environment Rockhampton QLD Australia Electrical and Computer Engineering Curtin University of Technology Perth WA Australia

Modern machine learning techniques have encouraged interest in the development of vehicle health monitoring systems that ensure secure and reliable operations of rail vehicles. In an earlier study, an energy-efficient data acquisition method was investigated to develop a monitoring system for railway applications using modern machine learning techniques, more specific classification algorithms. A suitable classifier was proposed for railway monitoring based on relative weighted performance metrics. To improve the performance of the existing approach, a rule-based learning method using statistical analysis has been proposed in this paper to select a unique classifier for the same application. This selected algorithm works more efficiently and improves the overall performance of the railway monitoring systems. This study has been conducted using six classifiers, namely REPTree, J48, Decision Stump, IBK, PART and OneR, with twenty-five datasets. The Waikato Environment for Knowledge Analysis (WEKA) learning tool has been used in this study to develop the prediction models.

关键词： Monitoring Biomedical monitoring Electronic ballasts Australia

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Communicating with multiple users for embodied conversational agents in quiz game context

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International Journal of Intelligent Information and Database Systems 2010年第6期4卷 579-598页

作者： Huang, Hung-Hsuan Furukawa, Takuya Ohashi, Hiroki Nishida, Toyoaki Cerekovic, Aleksandra Pandzic, Igor S. Nakano, Yukiko Graduate School of Informatics Kyoto University Yoshida-Honmachi Sakyo-ku Kyoto 606-8501 Japan Faculty of Electrical Engineering and Computing Department of Telecommunications University of Zagreb Unska 3 10000 Zagreb Croatia Department of Computer and Information Science Seikei University Kichijyoji Kita-machi 3-3-1 Musashino-shi Tokyo 180-8633 Japan

This paper presents two approaches to achieve attentiveness of a virtual quiz agent in the interactions with multiple users at the same time. One attempts to improve the agent with an utterance strategy to determine whether, when, and whom to suggest the users the availability of hints or to urge the users to answer. In the other one, a transition state model presenting the agent's attitude that allows the agent to perform meaningful idle motions is introduced. The transition model is obtained in a Wizard-of-Oz (WOZ) experiment and is learned with support vector machine (SVM). These two prototype systems are evaluated with an automatic attitude test, go/no-go task (GNAT) and regular questionnaires. From the joint results of the evaluation subject experiments, the direction of finding an appropriate triggering timing of the agent's behaviours is proved to be effective. Copyright © 2010 Inderscience Enterprises Ltd.

关键词： Support vector machines

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Annual Review of Information Science and Technology 2010

Annual Review of Information Science and Technology 2010

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2009年

作者： Blaise Cronin

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