January 2011 - DBJapan - dbjapan.dbsj.org

CFP: The 14th IEEE International Conference on Computational Science and Engineering (CSE-2011)
by Wenxin Liang 07 Jan '11

07 Jan '11

Please accept our apologies if you receive multiple copies of this CFP. *********************** IEEE CSE 2011 CFP ************************* ================================================================================================ The 14th IEEE International Conference on Computational Science and Engineering (CSE-2011) http://ncc.dlut.edu.cn/~cse11/ Dalian, China, August 24-26, 2011 ================================================================================================ ----------------- Important Dates ----------------- Workshop Proposal: Jan 31, 2011 Submission Deadline: April 01, 2011 Authors Notification: June 01, 2011 Final Manuscript Due: June 25, 2011 --------------- Special Issues --------------- Selected bested papers will be recommended for publication in special issues of several SCI-indexed journals, such as Journal of Computer and System Sciences,Simulation Modelling Practice and Theory ,Journal of Multiple-Valued Logic and Soft Computing - Mathfuzzlog. --------------------------------- Paper Submission and Publication --------------------------------- Prepare your paper with free styles not more than 15 pages in PDF file. Submit your paper(s) at the CSE 2011 submission site: http://www.easychair.org/conferences/?conf=cse2011. Each submission should be regarded as an undertaking that, if the paper is accepted, at least one of the authors must attend the conference to present the work in order for the paper to be included in the IEEE Digital Library. Accepted papers will be published in proceedings of the CSE-2011 conference by IEEE Computer Society. ================================================================================================ --------------------------------- Introduction --------------------------------- The Computational Science and Engineering area has earned prominence through advances in electronic and integrated technologies beginning in the 1940s. Current times are very exciting and the years to come will witness a proliferation in the use of various advanced computing systems. It is increasingly becoming an emerging and promising discipline in shaping future research and development activities in academia and industry, ranging from engineering, science, finance, economics, arts and humanitarian fields, especially when the solution of large and complex problems must cope with tight timing schedules. CSE-2011 is the next event, in a series of highly successful International Conferences on Computational Science and Engineering, held mainly as the International Workshop on High Performance Scientific and Engineering Computing for 10 editions, mostly in conjunction with International Conference on Parallel Processing (ICPP), as COATA-98 (Orlando, USA, July 1998), HPSEC-99 (Fukushima, Japan, September 1999), HPSEC-00 (Toronto, Canada, August 2000), HPSEC-01 (Valencia, Spain, September 2001), HPSEC-02 (Vancouver, Canada, August 2002), HPSEC-03 (Kaohsing, Taiwan, October 2003), HPSEC-04 (Montreal, Canada, August 2004), HPCSE-04 with WCC-04 (Toulouse, France, August 2004), HPSEC-05 (Oslo, Norway, June 2005), and HPSEC-06 (Columbus, USA, August 2006). The previous CSE-08, CSE-09, and CSE-10 were held in S?o Paulo, Brazil, July 16-18, 2008, Vancouver, Canada, August 29-31, 2009, and Hong Kong, China, December 11-13, 2010. ------------------- Topics ------------------- CSE-2011 is to bring together computer scientists, applied mathematicians, engineers in different disciplines and researchers to present, discuss and exchange ideas, results and experiences in the area of advanced computing for problems in science and engineering applications and inter-disciplinary. We are inviting new and unpublished papers on, but not limited to, the following topics: - Intelligent and Bio-inspired Computing - Distributed and Parallel Computing - Database and Data Mining - Cluster, Grid, P2P and Cloud Computing - Mobile Computing and Wireless Communications - CSE Education - Scientific and Engineering Computing - Embedded and Ubiquitous Computing - Advanced Networking and Applications - Security, Privacy and Trust - Service and Internet Computing - Dependable, Reliable and Autonomic Computing - CSE applications to the following areas, but not limited to: computational fluid dynamics and mechanics; material sciences; computational chemistry; space, weather, climate systems and global changes; computational environment and energy systems; computational ocean and earth sciences; combustion system simulation; computational physics; bioinformatics and computational biology; medical applications; transportation systems simulations; combinatorial and global optimization problems; structural engineering; computational electro-magnetic; computer graphics and multimedia; semiconductor technology and electronic circuits and system design; dynamic systems; computational finance; data mining; signal and image processing, etc --------------------- Organizing Committee --------------------- == General Chairs== Keqiu Li, Dalian University of Technology, China Tharam Dillon, Curtin University of Technology, Australia Jean-luc Gaudiot, University of California-Irvine, USA == Program Chairs == Weisong Shi, Wayne State University, USA Aki Nakao, University of Tokyo, Japan Yanming Shen, Dalian University of Technology, China == Program Vice-Chairs== * Intelligent and Bio-inspired Computing * Kenji Leibnitz,Osaka University, Japan Robert Reynolds,Wayne State University, USA *istributed and Parallel Computing* Yunquan Zhang,Chinese Academy of Sciences, China * Database and Data Mining * Jacek Becla,Stanford University, USA Wenxin Liang,Dalian University of Technology ,China * Cluster, Grid, Cloud and P2P Computing * Xiaolin(Andy) Li,University of Florida, USA * Web Services and Internet Computing * Brian Blake,University of Notre Dame, USA * Mobile Computing and Wireless Communications * Julia Deng,Intelligent Automation Inc. , USA * CSE Applications * Shengzhong Feng,Chinese Academy of Sciences, China * Scientific and Engineering Computing * Rong Tian,Chinese Academy of Sciences, China * Embedded and Ubiquitous Computing * Zili Shao,Hong Kong Ploytecnic University, China Hara Takahiro, Osaka University,Japan * Advanced Networking and Applications * Ling-Jyh Chen,Academia Sinica, Taiwan * Security, Privacy and Trust * Guojun Wang,Central South University, China Zonghua Zhang,Institut TELECOM/TELECOM Lille 1,Villeneuve d'Ascq, France * Dependable, Reliable and Autonomic Computing * Roberto Baldoni,University of Rome, Itlay Giorgia Lodi , CINI, Italy * CSE Education * Tianzhou Chen,Zhejiang University, China == Workshop Chairs == Ching-Hsien Hsu, Chung Hua University, Taiwan Naixue Xiong, Georgia State University, USA Kai Lin, Dalian University of Technology, China Takayuki Fujimoto, University of Tokyo, Japan == Steering Committee == Laurence T. Yang (chair), St Francis Xavier Univ., Canada Hai-xiang Lin, Delft University of Technology, Netherlands Kuan-Ching Li, Providence University, Taiwan Rodrigo F. de Mello, ICMC, University of S?o Paulo, Brazil == Panel Chair == Ivan Stojmenovic, University of Ottawa, Canada == Local Chair == Yan Liu, Dalian University of Technology, China == Web and Submission Chair == Jie Liu, Dalian University of Technology, China == Program Committee == See CSE-2011 web site: http://ncc.dlut.edu.cn/~cse2011/ -------------------- Contact Information -------------------- If you have any question about the CFP and paper submission, please email to ncc(a)dlut.edu.cn. -- Wenxin Liang ------------------------------------------------------------------------------------------------- Ph.D., Associate Professor Executive Deputy Head of Department of Digital Media Technology School of Software, Dalian University of Technology Road No. 8, Development Zone, Dalian 116620 Liaoning, CHINA E-mail: liang(a)computer.org -------------------------------------------------------------------------------------------------

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「日本データベース学会論文誌Vol.10,No.1」　自由投稿論文　募集のお知らせ
by dbsj-office 07 Jan '11

07 Jan '11

日本データベース学会　会員の皆様明けましておめでとうございます。平素よりお世話になっております。日本データベース学会論文誌編集委員会でございます。さて、来る6月末に発行予定の「日本データベース学会論文誌Vol.10,No.1」の自由投稿論文を現在、募集しております。論文規定は添付の通り、また、募集要領は　下記の通りとなっております。皆様からの論文投稿をお待ちしております。自由投稿論文締切：2011年3月25日（金）午後5時送付先：dbsj-office＠dbsj.org 著者への採否通知日：2011年4月22日（金）（予定）最終稿提出期限：2011年5月20日（金）午後5時刊行予定日：2011年6月24日（金）(予定) 以上、取り急ぎ用件のみにて失礼いたします。本年も、日本データベース学会論文誌をどうぞよろしくお願い申し上げます。事務担当　後藤＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊日本データベース学会論文誌　編集委員会〒252-5258 神奈川県相模原市中央区淵野辺5-10-1 青山学院大学相模原キャンパス　N213a 社会情報学研究所内電話：042-759-6575 FAX：042-759-6182 mail to： <mailto:dbsj-office@dbsj.org> dbsj-office(a)dbsj.org

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Lecture Series: Multimodal Cognitive Load by Dr. Fang Chen, NICTA, Jan 12-13, 19-20, 26-27, Rm 2010 NII
by Noriko Kando 06 Jan '11

06 Jan '11

日本データベース学会の皆さま NIIの神門典子と申します。下記の通り、オーストラリアのNICTAのFang Chen博士による "Multimodal Cognitive Load Measurement and its Applications"に関する連続講義(全6回）を開催します。ご興味をお持ちの方は、ぜひ、奮ってご参加ください。周囲のご関心の方々にもご紹介くだされば幸いです資料等の準備の都合上、もし可能でしたら、このメールの末尾のフォームにて参加登録をお願い出来ましたら幸いです。参加登録なしでの飛び入り参加も歓迎です。 http://www.nii.ac.jp/en/event/2010/0112/ ====================================================================== * Lecture Series: 　　 Multimodal Cognitive Load Measurement and its Applications (six lectures) * Lecturer: 　　　Dr Fang Chen, Research Group Manager at NICTA, Australia (Brief Bio will appear at the end of the email) * Venue: 　　NII, Meeting Room 2010 (20th Floor) * Lectures: Lecture 1 Overview of cognitive load and mental status measurement Wednesday, 12th Jan 2011, 15:00-16:30 Lecture 2 Speech based cognitive load measurement (i) Thursday, 13th Jan 2011, 15:00-16:30 Lecture 3 Speech based cognitive load measurement (ii) Wednesday, 19th Jan 2011, 15:00-16:30 Lecture 4 Linguistic measurement on cognitive load Thursday, 20th Jan 2011, 15:00-16:30 Lecture 5 Pen input pattern and cognitive load Wednesday, 26th Jan 2011, 15:00-16:30 Lecture 6 Measuring cognitive load through physiological sensors and applications of Cognitive Load Measurement Thursday, 27th Jan 2011, 15:00-16:30 ----- Lecture 1 Overview of cognitive load and mental status measurement Wednesday, 12th Jan 2011, 15:00-16:30 Cognitive load refers to the capacity and resources used in working memory while learning, and more broadly, while completing tasks where novel information and novel processing are required. In complex and time-critical situations, users can experience extremely high cognitive load, which can interfere with successful task completion. An understanding of each user’s cognitive load will enable us to alleviate these problems by implementing strategies to adjust the system’s behaviour, provide resources needed according to each individual’s cognitive burden and help them complete the task with maximum efficiency. Cognitive load is difficult to measure, particularly in individual users. Our research focuses on using the multimodal interaction paradigm to detect fluctuations in cognitive load. The primary advantage of this approach is that cognitive load can be determined implicitly by monitoring pattern variations in specific multimodal communication features executed in day-to-day tasks. Such unobtrusive measures may help determine user's cognitive load in real-time and achieve the ultimate goal of adapting information content selection and presentation (multimodal output generation) accordingly, in order to ensure optimal user performance. However, assessing a user's cognitive load through nuances in their multimodal interactive behaviour requires identifying a number of indices that can reliably reflect fluctuations. In this talk, following a short introduction to cognitive load theory, experiments designed to identify the relationships between combined speech, gesture and other inputs and users' cognitive load are described. The feasibility of using multimodal behaviour as an index of cognitive load is supported by the results of our studies. The data suggests that semantic multimodal behavioural features are sensitive to cognitive load variations, with the structure of multimodal production changing to reflect increases in load. Similarly, data collected using physiological sensors (e.g. skin conductance) is also shown to correlate highly with reported levels of cognitive load. ----- Lecture 2 Speech based cognitive load measurement (i) Thursday, 13th Jan 2011, 15:00-16:30 It is about a century since the proposal of the Yerkes-Dodson law, which states that there is an optimum mental arousal for performing a task, below and above which performance will deteriorate. Despite this, there are few methods that have been demonstrated to measure cognitive load in practise, and fewer still in real time. Speech-based methods are attractive because they are non-intrusive, inexpensive and can be real-time. Variations in the speech signal as cognitive load changes are directly due to changes in the manner in which voice articulation structures (muscles and joints) are employed. Signal-based features have the advantage of being extracted from the speech data collected in a completely automated way, requiring very little manual intervention. Firstly, techniques for the speech based measurement of cognitive load from the literature will be discussed. The physical characteristics of speech signals such as energy, changes in pitch and fundamental frequency have been explored as possible candidates for load indicators. Prosodic features such as pitch and intensity also provide extra information related to the emotion or intention of the user and shown a potential relationship to cognitive load levels for example, Prosodic features can be extracted and modelled automatically with statistical modelling approaches. However, in examining the speech signal, the difficulty lies in finding features related to cognitive load and extracting these from the raw speech data with a “signal-based approach”. The system would need to solicit a sufficient amount of speech data from the user for training and evaluation purposes to make a valid assessment. Like other paralinguistic classification tasks, cognitive load measurement is a challenging problem, and one that must account for variability posed by linguistic, contextual and speaker-specific characteristics. Unlike some other paralinguistic classification tasks, cognitive load measurement requires classification along an ordinal scale, motivating the use of very specific machine learning techniques. Most notably, we have found that speech signal features undergo significant changes under high levels of load and are the best candidate indicators of load and I will give all details in the talk. ---- Lecture 3 Speech based cognitive load measurement (ii) Wednesday, 19th Jan 2011, 15:00-16:30 A critical part of any speech classification system is the choice of features. This topic investigates the choice from a few different perspectives: (i) the psychophysiological effects of cognitive load on the speech production system, (ii) features known to correspond with emotional variation or expressive speech, (iii) pragmatic considerations for real time systems developed from limited data, and (iv) feature diversity, in the context of systems that fuse information from multiple subsystems in order to improve system accuracy. In this topic, we review a range of predominantly acoustic feature extraction techniques, and compare their efficacy during evaluations. Effort will be devoted to identifying similarities or correlation between features, and differences or uniqueness between features. Recently proposed features that have shown promise will form a part of the presentation. Due to the virtual impossibility of extracting features from speech that are due entirely to emotion or cognitive load, without any phonetic or speaker identity information, feature normalization is an important topic. Two key approaches for dealing with feature variability due to speech phonetic content will be contrasted. Techniques for modelling emotion and cognitive load will be discussed. Comparisons between human and machine based emotion and cognitive load classification from speech will be made. Finally, some comments concerning the ordinal nature of the cognitive load classification problem will be made. The study of cognitive load also requires some specific approaches to database construction. An important consideration for any emotion or cognitive load recognition system is the design, availability and use of suitable databases. These issues are discussed, with particular reference to experimental design and procedures, the importance of natural speech data, and the optimal use of data during training, development and online operation. ---- Lecture 4 Linguistic measurement on cognitive load Thursday, 20th Jan 2011, 15:00-16:30 Furthermore, I will present the results of our speech content analysis, conducted on the users’ choice of linguistic and grammatical features, which suggest these also reliable indicators of cognitive load. Several novel linguistic features are proposed as potential indices of user’s experienced cognitive load with an objective to identify linguistic features. Linguistic and dialogue related patterns (word and phrase level features) vary in reference to cognitive load presumably due to the strategies used when subjects are under high levels of load, responses might be structured or instantiated differently, depending on the available resources. Specifically, we were interested in semantic word categories, such as cognition and perception words, positive and negative words would change from low load to high load tasks. Similarly, we hypothesized some grammatical features, such as the use of singular or plural pronouns would also change depending on the task complexity and hence cognitive load. Analyses show that users demonstrated different linguistic patterns under various cognitive load levels. This is illustrated in a real-life example, using several linguistic features extracted from a speech data set collected during the completion of highly time-critical and data-intense bushfire management tasks in regional locations around Australia. Detailed results will be given in this talk. ---- Lecture 5 Pen input pattern and cognitive load Wednesday, 26th Jan 2011, 15:00-16:30 In much the same way as some linguistic and prosodic features of speech can be indicative of high cognitive load; it seems plausible that the surface features of other modal inputs, such as pen-gesture, may also be affected during high load. Pen-gesture trajectories can be used in a variety of applications and devices e.g., to select entities or to draw predefined symbolic shapes. These gesture trajectories, whether they are produced with the participant’s hands, fingers or using a stylus or other ink-style implement, can also betray symptoms of cognitive load when task complexity and mental demand increases. For example, geometric and temporal patterns in trajectories from low to high load tasks may differ, as well changes in function and usage of the modality itself – i.e. the situations in which pen is and isn’t used. Finally, an analysis of what is being drawn or gestured can give us some insight into the cognitive load being experienced by the user. In this lecture, we describe longitudinal user studies and one such cognitive training tool, equipped with an interactive pen interface, and think-aloud protocols. The aim is to verify whether cognitive load can be inferred directly from changes in geometric and temporal features of the pen signal collected. We compare pen input trajectories between cognitive load levels and overall Pre and Post training tests. The results show trajectory durations decrease, lengths decrease and speeds increase, all changing significantly as cognitive load increases. These feature changes are attributed to mechanisms for dealing with high cognitive load in working memory, with minimal rehearsal. In terms of expertise, the trajectory duration further decreases and speed further increases. These changes are attributed in part to cognitive skill acquisition and the development of schema, both in extraneous (interface and interaction related) and intrinsic (domain related) networks, in the time between Pre-test to Post-test. As such, these pen trajectory features offer further insight into implicit communicative changes related to load fluctuations. ---- Lecture 6 Measuring cognitive load through physiological sensors and 　applications of Cognitive Load Measurement Thursday, 27th Jan 2011, 15:00-16:30 Multimodal cognitive load measurement has only relatively recently been proposed as a method for cognitive load measurement. Physiologists have long used these kinds of measures to evaluate stress, affective and arousal states. In contrast with subject reporting on the overall impression of the task, physiological sensors can uncover a number of fluctuations that may occur as the subject completes the task, indicating fluctuating levels of experienced cognitive load. The talk will also briefly discuss the use of other physiological signals for cognitive load measurement. Physiological sensors on the other hand, seem to be ideal in providing real-time control indications of experienced load, despite their level of intrusiveness. The choice of sensors, their reliability and accuracy in reflecting cognitive load are still open issues discussed in the art. High-complexity, safety-critical tasks could benefit from cognitive load assessment technology as part of routine performance monitoring in the first instance. These kinds of environments lend themselves to implicit (multi)modal cognitive load assessment because they have a variety of communicative behavioural resources currently available, from speech to manual gesture input (mice, keyboards, digital ink and touch-screens), which can all be used to form an assessment of the subject’s load experience. As a follow on from performance monitoring applications, targeted training can also benefit from cognitive load assessments. The use of cognitive load indices in multimodal interface environments, possibly in conjunction with performance and other measures, could provide an individually targeted learning experience. Recent advances in the design of applications and user interfaces have promoted the awareness of the user context as well as user preferences. The cognitive load of a user represents an important factor to be considered in adaptive human computer interfaces, especially in scenarios of high intensity work conditions and complex tasks. Multimodal interfaces are, in themselves, known to reduce the level of experienced cognitive load over tasks completed using unimodal interfaces. Systems equipped with methods for unobtrusive, real-time detection of cognitive load and general cognitive load awareness will be able to adapt content delivery in a more intelligent way by sensing what the user is able to cope with at any given moment. Key insights, results and conclusions will be recapitulated and discussion will be directed towards research problems that are either currently unresolved or still on the horizon of this research field. Participants will be exposed to likely future challenges, both during presentation and during the ensuing discussion. ------- Bio: Dr. Fang Chen holds a PhD in Communications and Electronic Systems and an MBA. She was appointed the Dean of Faculty of Electronic and Information Engineering in Beijing Jiaotong University in 1997. She then became the Team Leader in Intel Research Centre and joined the Motorola Research Centre afterwards, as the founding manager of the Speech and Language Generation Research Laboratory of MCRC. Joining NICTA in 2004, which is the largest Australian government funded research organisation dedicated in Information and Communication technologies, she is now the Research Group Manager for the Making Sense of Data research theme at the ATP Laboratory. Dr. Chen is a conjoint professor in The University of New South Wales, Honorary Associate in The University of Sydney and Adjunct Professor in Beijing Jiaotong University. He has supervised 8 PhD students to completion and is supervising 7 PhD students now. Her main research interests are in multimodal human-machine interaction, cognitive load modelling, and digital signal processing. She has researched and developed in many aspects of multimodal human-machine interaction, such as speech and natural language dialogue, manual gesture and pen gesture recognition, emotion, usability and human factors. In past 6 years, she led the team researched in objective non-intrusive cognitive load measurement and created world first real-time cognitive load modelling through users’ multimodal behaviour. She has more than 100 refereed publications and 26 patent filings in Australia, US, Europe, Canada, China, Japan, Korea and Mexico. -- Academic Host: Mayumi Bono & Noriko Kando, Professor, NII (ex. 2529) *********************************************************** ******************************** To: kando-secr(a)nii.ac.jp 連続講義　参加申し込み "Multimodal Cognitive Load Measurement and its Applications" 1月12日(水)15:00-16:30 Overview of cognitive load and mental status measurement 1月13日(木)15:00-16:30 Speech based cognitive load measurement (i) 1月19日(水)15:00-16:30 Speech based cognitive load measurement (ii) 1月20日(木)15:00-16:30 Linguistic measurement on cognitive load 1月26日(水)15:00-16:30 Pen input pattern and cognitive load 1月27日(木)15:00-16:30 Measuring cognitive load through physiological sensors and applications of Cognitive Load Measurement の講義に参加します。(不要部分は削除してください）・お名前　　　・ご所属・Email 参加費は無料です ********************************

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FUBUTEC'2011 - 2nd Call for Papers (8th annual Future Business Technology Conference)
by ciprian.dobre＠cs.pub.ro 06 Jan '11

06 Jan '11

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[CFP] JCSSE2011: The 8th Joint Conference on Computer Science and Software Engineering
by siena＠cc.tuat.ac.jp 05 Jan '11

05 Jan '11

東京農工大学の品川と申します。 The 8th Joint Conference on Computer Science and Software Engineering (JCSSE2011) の論文募集の締切が近づいてまいりましたので、ご案内させていただきます。 PDF 版の CFP もございますので併せてご参照ください。 <http://www.jcsse.org/images_1/call.pdf> 皆様のご投稿をお待ち申し上げます。 --=*=----=*=----=*=----=*=----=*=----=*=-- 品川徳秀 (Siena.) <siena(a)cc.tuat.ac.jp> 東京農工大学大学院工学府情報工学専攻 --=*=----=*=----=*=----=*=----=*=----=*=-- JCSSE 2011 Call for Papers The 8th Joint Conference on Computer Science and Software Engineering May 11-13, 2011 at Mahidol University, Salaya Campus, Nakhon Pathom, Thailand <http://www.jcsse.org>. The 8th Joint Conference on Computer Science and Software Engineering (JCSSE 2011) will be held on May 11-13, 2011 at Mahidol University, Salaya Campus, Nakhon Pathom, Thailand (30 minutes from downtown Bangkok). The conference theme is Driving towards Discovery as it emphasizes on the discovery of software and computing technologies that would help people in need of basic supports for everyday living. The conference will bring together researchers, scientists, engineers, practitioners and professionals to present their novel accomplishments and innovations in computer science and software engineering as well as their applications. The conference will be conducted in English except the additional Thai tracks for local researchers. We are honored to have Prof. Anthony Finkelstein, Dean of Engineering Sciences Faculty, University College London, and Prof. Suguru Yamaguchi, Graduate School of Information Science, Nara Institute of Science and Technology, and Prof. Jun Murai, Faculty of Environment and Information Studies, Keio University as our keynote lecturers in the topics of Software Engineering and Internet technologies. Location: Nakhon Pathom is renowned for its landmark Pra Pathom Chedi which signified the influx of Buddhism into Thailand. Only 30 minutes from downtown Bangkok, Salaya district in Nakhon Pathom offers natural beauty, landscaped gardens and lush tropical scenery. Nakhon Pathom is also known for abundant of tropical fruits and traditional Thai history. Topics to be addressed, but are not limited to: - Computational Science and Engineering - Multimedia and Computer Graphics - Computational Intelligence - Computer Systems - Computer Networks - Communications - Cluster and Grid Computing - Knowledge and Data Management - Information Technology - Software Engineering - Information Retrieval - Software Application Development. More details can be found at <http://www.jcsse.org>. Paper Submission: Authors are invited to submit a 400-word (1 page) abstract summarizing an original work finalized or in progress, and then a full paper (6 pages) describing the original work to JCSSE 2011 website (http://www.jcsse.org) All the manuscripts must be written in English and should be prepared in given style by JCSSE bureau. All submitted papers will be reviewed by the Technical Program Committee. After you win the acceptance notification, you have to prepare the final camera-ready manuscript of maximum six (6) IEEE double-column formatted pages, the Copyright Transfer Agreement, and the Speaker's Biography together. Important Dates: Abstract Submission: Jan 23, 2011 Full Paper Submission: Feb 6, 2011 Acceptance Notification: Mar 28, 2011 Camera-Ready Manuscript Due: Apr 10, 2011 Early Registration: Apr 18, 2011 JCSSE 2011 Web site: http://www.jcsse.org Secretariat: E-mail: jcsse2011(a)mahidol.ac.th Address: Faculty of ICT, Mahidol University, ICT Building, 999 Phuttamonthon 4 Rd., Salaya, Phuttamonthon, Nakhon Pathom, 73170 Thailand

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アジアのクラウド・ソーシャルコンピューティング研究：AEARU国際ワークショップ（1月17～18日）のご案内
by Katsumi Tanaka 03 Jan '11

03 Jan '11

日本データベース学会の皆様新年、明けましておめでとうございます。京都大学の田中克己でございます。来る1月17日（月）～18日（火）の2日間にわたり、京都大学主催の「第9回AEARU国際ワークショップ：Web技術とコンピュータサイエンス」が開催されます。 AEARU（東アジア研究大学連合）は、東アジアの17大学から構成されており、現在、中国6大学、日本6大学、韓国3大学、台湾2大学がメンバー校です。今回のワークショップでは、AEARUメンバー校、および、アジアの他の大学から、合計13名の教授、12名の博士学生が招聘され、京都大学の研究者と共に、クラウドコンピューティング、ソーシャルコンピューティング、サーチ・マイニングなどの研究発表・討論を行います。東アジアにおけるクラウド研究やソーシャルコンピューティングの動向を知る上でも貴重な内容となっています。奮ってご参加いただきますようお願い申し上げます。参加登録費は無料ですが、配布予定の発表資料集の部数に制限がございますので、必ず下記URLにて事前参加登録をお願い申し上げます。　http://www.dl.kuis.kyoto-u.ac.jp/gcoe/event/74/register.html +++++++++++++++++++++++++++++++++++++++++++++++++ 第9回Webテクノロジーとコンピュータサイエンスに関する AEARUワークショップ　–クラウドコンピューティングと知識サーチ- 日時：2011年1月17日（月）～18日（火）場所：京都大学百周年時計台記念館2階国際交流ホールI, II 主催：京都大学　http://www.kyoto-u.ac.jp/en 共催：京都大学グローバルCOE 　　　　「知識循環社会のための情報教育研究拠点」　　　　http://www.i.kyoto-u.ac.jp/gcoe/ 後援：財団法人京都大学教育研究振興財団　　　　http://www.kyodai-zaidan.or.jp/index.html 協力：NRIネットワークコミュニケーションズ（株）　　　　同社のご協力により、モバイル会議システム　　　　http://www.nri-net.com/mobileconf/index.html 　　　　を本ワークショップにて使用させていただきます。参加費および事前参加登録：　　　　参加登録費は無料ですが、配布予定の発表資料集の部数　　　　に制限がございますので、必ず下記URLにて事前参加登録を　　　　お願い申し上げます。　　　　http://www.dl.kuis.kyoto-u.ac.jp/gcoe/event/74/register.html 開催目的： WWWとWebテクノロジーは、Webサーチ・マイニング、オントロジーと Semantic Web、集合知とソーシャルコンピューティング，メディアコンピューティング、クラウドコンピューティング、サービスコンピューティング等、コンピュータサイエンスおよびその周辺領域の多くの分野の研究教育や、我々の社会そのものに対して、大きな影響を与えています。さらに、Webテクノロジーは，virtual labやe-learning等を用いた国際共同研究・教育や人材育成にも欠かせない技術となっています。 Webテクノロジーとコンピュータサイエンスに関するAEARUワークショップは、AEARU （東アジア研究大学連合、the Association of EAST Asian Research Universities）のメンバー大学や東アジアにおける主要大学の研究者が一同に会し、Webテクノロジーとコンピュータサイエンスに関する最新の研究・教育成果に関する情報交換・学術交流を行うフォーラムです。今回の第9回Webテクノロジーとコンピュータサイエンスに関するAEARU ワークショップでは、主に以下の内容の講演・討論が予定されています。 1) クラウドコンピューティング 2) ソーシャルコンピューティング 3) Webサーチとマイニング 4) システム・ユーザ行動分析 5) 博士学生によるPhD Round Table プログラム 2011年1月17日（月） 10:00-10:20 < Opening > President Hiroshi Matsumoto (Kyoto U.) Dean & Prof. Yoshimasa Nakamura (Kyoto U.) 10:20-12:00 < Cloud Computing > A Social Network Analysis System Using Massive Data Mining Based on Cloud Computing WANG Chong-jun(Nanjing U.） High-Performance as a Service; Cloudy Supercomputing in Kyoto Hiroshi Nakashima（Kyoto U.） Cache-as-a-Service:Efficient Data Processing by a Pluggable Cache Heon Young Yeom（Seoul National U.） Using Cloud Computing to Analyze the Web for eLearning Jason S. Chang（Tsing Hua U. - Hsinchu） 13:20-15:00 < Social Computing > Evolution of Social Networks ? New Patterns and a New Generator Ming Zhang（Peking U.） Friendship Prediction in Social Networks Jie Tang（Tsinghua U. - Beijing） An Object Deputy Approach for Web Community Management Zhiyong Peng（Wuhan U.） iGraph: A Framework for Comparisons of Disk-Based Graph Indexing Techniques Wook-Shin Han（Kyungpook National U.） 15:20-18:00 PhD RoundTable (1) Commonsense Knowledge Mining from the Web Chi-Hsin Yu（Taiwan U.） Enhancing Credibility Judgment of Web Search Results Yusuke Yamamoto（Kyoto U.） Processing SPARQL Queries with Regular Expressions in RDF Databases Jinsoo Lee（Kyungpook National U.） Joint refinement of related links and category links on social collaborative encyclopedias Fan Bu（Tsinghua U. - Beihing） Scene Object Level Image Content Generation and Editing Ming-Ming Cheng（Tsinghua U. - Beihing） User Sharing Behavior Prediction in Social Network" Peng Cui（Tsinghua U. - Beihing） Using Community Q&A Corpus for Exploratory Web Searches Takehiro Yamamoto（Kyoto U.） Recommendation Algorithm Based on Graph-Model Considering User Background Information Ziqi Wang（Peking U.） 15:20-18:00 PhD RoundTable (2) Towards Efficient Subgraph Searching over Large-Scale Graph Databases under MapReduce Framework Yifeng Luo（Fudan U.） Web-scale Computer-Assisted Language Learning Systems Based on Cloud Computing Technology MeiHua Chen（Tsing Hua U. - Hsinchu） Cache-Aware Implementation of Three-Dimensional FDTD Kernel Takeshi Minami（Kyoto U.） A load balancing algorithm in Cloud Computing Pan Lei（Nanjing U.） A Three Layer System Architecture for Web Data Management Rongrong Li（Wuhan U.） Running MapReduce in Inter-cluster Environments Shin-gyu Kim（Seoul National U.） Parallel computation algorithm DDC for Matrix Singular Value Decomposition and a cloud computing service Taro Konda（Kyoto U.） A game theoretical framework for vertex cover of general networks Yang Yang（Fudan U.） 2011年1月18日（火） 10:00-10:20　<C5国際会議オープニング> 10:20-12:00 < AEARU/C5合同基調講演 > The future of the Human/Computer Interface Ken Perlin（New York U.) TBA Maosung Son（Tsinghua U. - Beijing） 13:20-15:00 < Web Search & Mining > NLP-based Deep Indexing for Natural Language Search Sadao Kurohashi（Kyoto U.） Topic and Sentiment Lexicons Extraction Xiaoyang Zhu（Tsinghua U. - Beihing） Social Search and Web Information Credibility Katsumi Tanaka（Kyoto Uy） Opinion Mining and Sentiment Aanlysis Hsin-Hsi Chen（Taiwan U.） 15:20-17:00 < Systems and User Behavior Analysis > Recent Developments in Bidiagonal Matrix Singular Value Decomposition Yoshimasa Nakamura（Kyoto U.） More than cooperation: what we learn from the evolutionary game dynamics on complex networks Xiang Li(Fudan U.） Dimensional Analysis of Modality-semantics and its Application on Expressive Audio-visual Speech Synthesis Jia JIA（Tsinghua U. - Beijing） An Empirical Behavior Analysis for Human Being and Organization to Gain Credibility Yoshinori Hara（Kyoto U.） 17:00-17:10 < Closing > Vice-President, OPIR Director-General Junichi MORI (Kyoto U) Prof. Katsumi Tanaka (Kyoto U.) -- +++++++++++++++++++++++++++++++++++++++ Katsumi Tanaka, Professor Dept. of Social Informatics, Graduate School of Informatics, Kyoto University Yoshida Honmachi, Sakyo, Kyoto 606-8501,Japan Email:tanaka@dl.kuis.kyoto-u.ac.jp Tel : +81-75-753-5969 Secretary: +81-75-753-5385 FAX: +81-75-753-5979 +++++++++++++++++++++++++++++++++++++++ 田中克己　 Email:tanaka@dl.kuis.kyoto-u.ac.jp 京都大学大学院情報学研究科　教授社会情報学専攻　社会情報モデル講座情報図書館学分野〒606-8501 京都市左京区吉田本町京都大学情報学研究科社会情報学専攻（工学部10号館331号室） Tel: 075-753-5969 Secretary: 075-753-5385 Fax: 075-753-5979 京都市中京区河原町通二条下る一之船入町366 河原町二条ビル2F　京都大学田中研究室 Tel/Fax: 075-231-4282

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CALL FOR PAPERS: PETRA 2011
by PETRA 2011 02 Jan '11

02 Jan '11

To view the message, please use an HTML compatible email viewer or go to www.petrae.org to view our website

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CfP: WWW2011 Workshop: Joint WICOW/AIRWeb Workshop on Web Quality (WebQuality 2011)
by Adam Jatowt 02 Jan '11

02 Jan '11

日本データベース学会の皆様京都大学のアダムヤトフトです。 WWW2011のJoint WICOW/AIRWeb Workshop on Web Quality (WebQuality 2011)のCfPをお送りいたします．論文提出の締切は1月31日です．投稿をご検討頂けましたら幸いです． -------------------------------- FIRST CALL FOR PAPERS Joint WICOW/AIRWeb Workshop on Web Quality (WebQuality 2011) Held at the 20th International World Wide Web Conference (WWW 2011) in Hyderabad, India <http://www.dl.kuis.kyoto-u.ac.jp/webquality2011> IMPORTANT DATES ============================== 31 Jan 2011 Paper submission 14 Feb 2011 Acceptance notification 21 Feb 2011 Camera-ready versions due 28 Mar 2011 Workshop ============================== TOPICS The workshop will provide the research communities working on web spam, abuse, credibility, and reputation topics with a survey of current problems and potential solutions. We solicit the following types of submissions on any aspect of web content quality: * Full papers, describing contributions to the field, and * Short papers, presenting work in progress. Particular areas of interest include, but are not limited to: Assessing the credibility of content and people on the web and social media * Measuring quality of web content * Uncovering distorted and biased content * Modeling author identity, trust, and reputation * Role of groups and communities * Multimedia content credibility Fighting spam, abuse, and plagiarism on the Web and social media * Reducing web spam * Reducing abuses of electronic messaging systems * Detecting abuses in internet advertising * Uncovering plagiarism and multiple-identity issues * Promoting cooperative behavior in social networks * Security issues with online communication Full papers are limited to 8 pages, while short papers to 4 pages. Papers should be formatted according to the ACM style guide <http://www.acm.org/sigs/publications/proceedings-templates> and submitted via <http://www.easychair.org/conferences/?conf=webquality2011>. ORGANIZERS Carlos Castillo (Yahoo! Research) Zoltan Gyongyi (Google Research) Adam Jatowt (Kyoto University) Katsumi Tanaka (Kyoto University) PROGRAM COMMITTEE James Caverlee (Texas A&M University) Gordon Cormack (University of Waterloo) Matt Cutts (Google) Brian Davison (Lehigh University) Dennis Fetterly (Microsoft) Andrew Flanagin (University of California, Santa Barbara) Miriam Metzger (University of California, Santa Barbara) Andrew Tomkins (Google) Masashi Toyoda (University of Tokyo) Steve Webb (Georgia Institute of Technology) Min Zhang (Tsinghua University) Xiaofang Zhou (University of Queensland)

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Shunka Sai( Chunhua Cui ) is out of office
by shunka.sai＠nts.ricoh.co.jp 01 Jan '11

01 Jan '11

2010/12/30 から不在にしております。2011/01/11 に帰社いたします。帰社しましてから、返答いたします。 I will be out of office starting December 30, 2010 and will not return until January 11, 2011. I will respond to your message when I return. Thank you and Happy New Year !

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謹賀新年 from DBSJ
by Yoshifumi MASUNAGA 01 Jan '11

01 Jan '11

日本データベース学会（DBSJ）の皆様新年明けましておめでとうございます．本年が皆様にとりまして一層の飛躍の年であることを願います． DBSJは現在正会員1400名，学生会員300名，維持会員16社の規模で様々な活動をしていることは皆様ご承知のことと思います．今年5月21日には創設9周年を迎えます． DBSJは「データベース，メディアコンテンツ，情報マネージメント，ソーシャルコンピューティングに関する人材の育成と科学・技術の振興をはかり，（社）情報処理学会データベースシステム研究会，（社）電子情報通信学会データ工学研究専門委員会，ACM SIGMOD 日本支部と連携しつつ，フットワーク軽く，産学連携，国際的ビジビリティの向上，新学術領域の開拓においてイニシアティブをとり積極的に国内外にメッセージを発信し，学術，文化，産業，ならびに社会の発展に寄与することを目的」としています（定款第4条）． DBSJのsustainabilityを達成し，会員の皆様に貢献し続けるべく，本年も役員一同務めを果たしていく所存です．よろしくお願いいたします．日本データベース学会会長増永良文青山学院大学社会情報学部〒252-5259 神奈川県相模原市中央区淵野辺5−10−1 B613 Tel & Fax (042)759-6101（研究室）

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