Workshops / Special Sessions
- First International Workshop on Data Mining for Info-Communication Service and its Diffusion
- First International Workshop on Learning Technologies in and for a Sustainable Society
- First International Workshop on Practical and Theoretical Optimization for real systems in Information Science
- Human symbiotic systems
- Technology Acceptance and Online Behavior
- The Art of Humanities Computing
- Multi-Agent Technology, Platforms and Systems
- Experiences of Software Engineering
- Intelligent Software: Theory and Application
- Multimedia and Kansei Engineering
- Methods of Intelligent Information Processing (MIIP)
- Software Estimation
- Innovative switch architectures for future networks
- Ubiquitous Commerce: Theoretical & Application Perspectives
- Data Driven Models In Machine Learning
- Future Internet Architectures and Experimental Facilities
- Data Intelligence
- Applications of Parallel and Distributed Processing
- Theoretical Developments and Special Topics of Machine Learning
1. First International Workshop on Data Mining for Info-Communication Service and its Diffusion
Prof. Motoi Iwashita
Chiba Institute of Technology, 2-17-1 Tsudanuma Narashino-shi Chiba, 275-0016 Japan
Large amount of data will be stored through info-communication networks/services such as SNS (Social Network Services), sensor networks, life log, etc. these days. These data have possibility to characterize not only info-communication services but also complicated social systems. In fact, useful knowledge will be expected to be discovered for every field. Therefore, data mining will be more important technology not only for evolving info-communication networks/services but also for solving many kinds of social systems such as correcting digital divide, constructing new marketing approaches, etc.
This workshop focuses on data mining for info-communication networks/services and its diffusion. It includes methodology, theoretical insight and empirical findings for info-communication technologies and services. Our aim is to encourage introducing both technology and case study. Moreover, we try to share new knowledge through info-communication services.
- Data Mining and Algorithm
- Machine learning algorithms and methods
- Text and semi-structured data mining
- Pattern recognition
- Ontology modeling
- Knowledge representation
- Statistics and probability
- Network architecture, evaluation method
- Network control/construction algorithms
- Data Mining and Services
- Marketing and strategy
- Customer behavior
- Service/ network management
- Operation process
- Case studies of data mining
2. First International Workshop on Learning Technologies in and for a Sustainable Society
Prof. Kiyota Hashimoto
Osaka Prefecture University, 1-1, Gakuen-cho, Naka Ward, Sakai, 599-8531, Japan
Prof. Sachio Hirokawa
More and more attention has been paid to a sustainable society and its technological supports. However, sustainability requires each of us be wiser in order to save limited natural resources and yet to develop a more advanced society, which means that life-long education and learning is all the more important. For better education and learning, various learning technologies have been proposed. We have to evaluate them in a new perspective focusing on sustainability and create new, innovative learning technologies that will play a decisive role in future education and learning. The International Workshop on Learning Technologies in and for a Sustainable Society, LTSS 2012, which will be held as part of ACIS- SNPD 2012, brings together scientists, engineers, computer users, and students to exchange and share their experiences, new ideas, and research results about all aspects (theory, applications and tools) of learning technologies from a perspective of sustainability, and discuss the practical challenges encountered and the solutions adopted.
The workshop will cover a broad set of research topics including, but not limited to, the following:
- Education Technology in and for a sustainable society
- Learning support system focusing on awareness and metacognition
- Educational portfolio system
- Learning management system promoting awareness
- Online learning system promoting awareness
- Computer-human interactive system
- Theoretical model of awareness and metacognition in education and training
- Ontology for awareness and metacognition
- Learner model focusing on sustainable learning
- Learning model focusing on sustainable learning
- Learning objects in and for a sustainable society
- User interface promoting awareness and motivation
- Social and community learning and its technological supports
3. First International Workshop on Practical and Theoretical Optimization for real systems in Information Science
Mr. Satoshi Takahashi
University of Tsukuba, 1-1-1 Tennoudai, Tsukuba, Ibaraki, 3058573, Japan
Optimization approaches are very important topic for Information Science researches. Recently, many company try to reduce several cost occurred by
production, transportation and employment. The company employs the optimization approach to solve their problems by using information technologies.
Scheduling problems, product managements are one of typical problems treated
by optimization research area. Since their problems are very hard problems, we
should consider how to solve efficiently by using usual computer. This topic has
not only theoretical aspect, but also practical aspect.
This special session aim to discuss about how to use optimization method
with practical or theoretical approaches for real system such as economic activities, production activities and other actual situations of real world. Also this
special session gathers young researchers' research results. Many conference
does not organize a young researcher session, however, we think this session
is very important to give a precious opportunity to discuss recent topic of the
research with each other. So we think this session make some good suggestions
to solve the problem by discussing.
1. Human symbiotic systems
Prof. Tsuyoshi NAKAMURA
Nagoya Institute of Technology, Gokiso-cho, Showa-ku, Nagoya, Japan, 4668555
This special session aims at discussing the basic principles and methods of
designing intelligent interaction with the bidirectional communication based
on the effective collaboration and symbiosis between the human and the
artifact, i.e. robots, agents, computer and so on.
The research society "Human Symbiotic System (HSS)" was established in the
Japan Society for Fuzzy Theory and Intelligent Informatics on August in 2007
by Professor Yoichiro Maeda(Fukui University) and Associate Professor
Daisuke Katagami(Tokyo Polytechnic University). This society aims at
encouraging the academic and industrial discussion about the research on
Human-Agent Interaction (HAI), Human-Robot Interaction (HRI), and
Human-Computer Interaction (HCI) concerning Symbiotic Systems.
Reflecting the fact that this society covers a wide range of topics, in this
session we invite the related researchers from a variety of fields including
intelligent robotics, human-machine interface, Kansei engineering and so on.
- Human-Agent Interaction (HAI)
- Human-Robot Interaction (HRI)
- Human-Computer Interaction (HCI)
- Social Communication or Interaction
- Human Communication
- Partner or Communication Robots
- Hospitality Robots
- Pet-type or Animal Robots
- Human Interface Systems
- Cooperative Intelligence
- Kansei Engineering
2. Technology Acceptance and Online Behavior
Prof. Dauw-Song Zhu
Department of Business Administration, National Dong-Hwa University
With the advancement of technology and the rapid growth of e-commerce, the B2C domain of e-commerce has been a significant issue in recent years. The purpose of this session aims to address the current theoretical and empirical research issues.
Topics of interest include, but are not limited to:
- marketing and advertising
- consumer behavior
- information systems
3. The Art of Humanities Computing
Prof. Masashi Komori
Osaka Electro-Communication University, 18-8 Hatsucho, Neyagawa, Osaka 572-8530, Japan
Prof. Hilofumi Yamamoto
Tokyo Institute of Technology, W1-8 O-okayama Meguroku Tokyo 152-8550 Japan
In recent years, there have been enormous advances in information
technology and a corresponding growth in the use of information
technology resources and techniques in humanities research including
historical and cultural studies, text analysis, and digital archives.
These approaches are sometimes referred to as Humanities Computing or
Digital Humanities. The application of computational techniques in the
humanities has been changing not only the ways in which traditional
humanities scholars work but also the research materials, the
framework for humanities research, and the role of humanities. This
special session aims to enhance the use of information technologies in
the field. We welcome submissions that include new research methods,
innovative solutions, and breakthrough approaches in the humanities
and interdisciplinary areas.
Appropriate discipline areas include, but are not limited to:
- Computer-based researches in history, culture, literature and art
- Acquisition and analysis of digital data in humanities
- Applications of text mining, and visualization and graphics
- Creation and application of digital archives
4. Multi-Agent Technology, Platforms and Systems
Prof. Petr Skobelev
Knowledge Genesis Group (UK) & Smart Solutions (Russia) &
Institute of Control of Complex systems of Russian Academy of Science
Russia 4433080 Sanfirova street, Software Engineering Company
«Smart Solutions», 443080, Samara, Russia, 95/4 Sanfirovoi st., Business Center "Sanfirova", office 416
Tel: 7 (846) 222-91-72 / 222-91-73
Fax: 7 (846) 222-91-72 / 222-91-73
Multi-agent technology is fast growing area of Computer Science and a critical technology for developing self-organized systems for solving very complex problems, for example, in real time scheduling and optimization, pattern discovery, data mining and text understanding and a number of other domains. But today multi-agent technology is making only first steps to industry applications and delivering enterprise-ready systems. The purpose of session is to meet together academic researchers, pioneers of industry applications and industrial companies for presenting modern R&D and practical results and finding new ways for developing industrial applications and further advancing and commercialization of technology.
5. Experiences of Software Engineering
Prof. Kuniaki Uehara
Kobe University, Nada, Kobe 657-8501, Japan
Prof. Masahide Nakamura
Kobe University, Nada, Kobe 657-8501, Japan
This special session aims to bring together researchers, professors and practitioners who are working for any activities related to software engineering, in order to discuss their "experiences" to be shared within the community.
The experiences including good and bad practices will play an important role to innovate new challenges as well as to improve the existing activities.
The following topics are relevant to the special session, but are not exclusive of other relevant issues.
- Experiences in Software Engineering Research
- Experiences in Software Development
- Experiences in Software Project Management
- Experiences in Software Education
- Experiences in Emerging Software Technologies
6. Intelligent Software: Theory and Application
Prof. Kensei Tsuchida
Toyo University, 2100 Kujirai, Kawagoe, Saitama 350-8585, Japan
Dr. Takaaki Goto
The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo 182-8585, Japan
Software is becoming increasingly bulky and complicated due to demands placed for the enhancement of its functionality and the increasing sophistication of real-world problems. Future software development will require design and implementation based on theory such as advanced algorithms and sophisticated modeling.
The aim of this special session is to provide a forum to discuss the technical issues surrounding modeling, data structures, algorithms for proposed modeling, and software based on models. This special session invites presentations on advanced studies relevant to theory and application in order to share new ideas and methods for the development of advanced and intelligent software.
Possible special session topics include, but are not limited to:
- graph algorithms
- probabilistic algorithms
- graph grammar
- formal methods
- data structure
- fuzzy theory
- process algebra
- tabular form processor
- software development environment
- CAI application
- speech analysis
- experimental support systems
- web applications
- human centered designs
7. Multimedia and Kansei Engineering
Prof. Kenji Ozawa
University of Yamanashi, 4-3-11 Takeda, Kofu 400-8511, Japan
Prof. Shuichi Sakamoto
The 21st century is referred to as "the century of Kansei" in Japan. The Japanese word Kansei means the feelings and emotions that we experience when we interact with products as well as services. In the current century, the methodology to deal with Kansei information is a key technology in the field of engineering. This special session intends to give the state-of-the art of Kansei research that is related to multimedia systems, including audio-visual (AV) equipments, AV environments and AV materials. As the first step to obtain full understanding of such a kind of Kansei, measurements from several viewpoints are needed. Then, Kansei models which estimate the observed results based on the physical properties of multimodal signals are constructed using soft computing techniques such like neural networks and generic algorithms. These models can be applied to create more effective multimedia systems, including Ultra-realistic recording and reproduction systems. Among various kinds of Kansei evoked by multimedia systems, this session especially focuses on emotions as well as a sense of presence because the sense is an important point of view for evaluating current AV equipments.
Topics of interest include but are not limited to:
- Measurement of Kansei information such as emotions and a sense of presence
- Measurement of spatial impressions for AV equipments and environments
- Development of Kansei models
- Development and evaluation of high presence audio-visual systems
- Manipulation of Audio-visual materials
8. Methods of Intelligent Information Processing (MIIP)
Prof. Wladyslaw Homenda
Warsaw University of Technology, Plac Politechniki 1, 00-661 Warsaw, Poland
Intelligent information processing is the fundamental area of artificial intelligence. Automatic information understanding is the indispensable property of intelligent information processing. This session is devoted to intelligent information processing focused on automatic information understanding.
The paradigm of automatic information understanding includes wide spectrum of topics: data representation, data arrangements, methods of data description, syntactic structuring and semantic analysis of descriptions, granulation of syntax and semantics, identification of local structures, knowledge space formation, performing structural operations and similar ones. The paradigm of automatic data understanding is a generalized methodology adaptable to different domains like technical drawings, geodesic maps, medical images, music information, written and spoken natural languages and others. Yet, detailed methods, algorithms and techniques derived from the paradigm of automatic data understanding are domain dependent.
The aim of this Session is to bring together different representative actors, to exchange ideas, to debate divergences and to construct convergences around the paradigm of automatic information understanding. Original contributions describing research ideas, case studies and new findings on methodological and technological aspects related to both paradigms of intelligent information processing and automatic information understanding are warmly welcomed.
Extended versions of selected contributions will be considered to forthcoming edited volume of Springer.
Topics of interest include, but are not limited to:
Unlisted but related sub-topics are also acceptable, provided they fit in the paradigm of intelligent information processing.
- Information Representation and Arrangements
- Methods of Information Description
- Syntactic Structuring of information Descriptions
- Semantic Analysis of Information Descriptions
- Granulation of Syntax and Semantics
- Local Structuring of Information
- Knowledge Space Formation
- Automatic Information Understanding
- Automatic Understanding of Ontologies
- Model-Driven Information Structuring
- Domain-Driven Information Structuring
- Model-Driven Reasoning
- Domain-Driven Reasoning
- Intelligent User Interfaces
- Natural Language Understanding
- Domain Oriented Data Mining
- Pattern Recognition as Data Structuring
9. Software Estimation
Prof. Cuauhtemoc Lopez-Martin
Guadalajara University, Jalisco, Mexico
Software estimation can involve as dependent variables to size, effort, schedule, cost, and quality. Estimation techniques could be classified in those non-based on models (i.e. expert judgment) or based on models as statistical (i.e. regression equations) or computational intelligence techniques (i.e. fuzzy logic, artificial neural networks or evolutionary computing), and these techniques could be applied to data obtained from large (industrial environments) or small (academic environments) projects.
Papers should include sections related to the experimental context (industrial or academic environments), hypotheses, measurements, experimental design including the studied population and sample characteristics, experiment implementation and data collection, analysis (identifying outliers or influential observations, and ensuring that data do not violate the assumptions of the tests used on them: i.e. normality, independence, or equal variances), results presenting the raw data or providing where they are available, and describing each accuracy evaluation criterion for models (i.e. MMER or MMRE), and interpretation of these results. Each model from estimation technique should be depicted based on the following two stages: (1) when it has been checked its adequacy or model training (when each model is generated and then applied to original data set and their accuracy is evaluated), and (2) when it has been validated applying it to a new data set for predicting the dependent variable.
10. Innovative switch architectures for future networks
Prof. Zhiyi Fang
College of Computer Science and Technology, Jilin University, P.O. Address: #2699 Qianjin Street, Changchun, P.R. China, 130012
E-mail: fangzy(at)jlu.edu.cn, gnqu(at)jlu.edu.cn
The growth of the internet traffic has been exponential for the past four
decades, and will be growth even faster. A packet switch whose fundamental
role is forward packets from input ports to output ports can be found at the
core of high speed switch devices and routers, and is the foundation of the
data communication networks. High performance and scalability of switches,
especially for future network, attract most attentions of studies.
Output Queued switches provide maximum performance, however, N times memory
speedup requirement is too high to be implemented. OQ switches have been
used to be compared to as an ideal model. Input Queued, Combined Input and
Output queued, Combined Input and Crosspoint buffered Queued Switches,
Shared buffered, and Clos network switches, which are more practical, have
been studies for decades of years, in many ways, e.g. QoS guarantee,
scheduling algorithms, TCP packet switching, OQ matching, and so on.
Recently, we considered switch architectures with different aspects, and
proposed some innovative switches, e.g. Contention-Tolerant Crossbar
Switches. Therefore, we would like to proposal a special session. The
purposes of session are:
- Discuss the new challenges on switches for future networks, and how to
meet these challenges using current switch architectures, theoretically and
- Propose and consider switch problems in different way. Some new switch
architectures from our lab and from our cooperative lab will be presented,
and any new considerations on any aspects are welcome.
11. Ubiquitous Commerce: Theoretical & Application Perspectives
Prof. Y. H. Wong
Hong Kong Polytechnic University, Hong Kong
Ubiquitous commerce (u-commerce) is a dynamic convergence of the physical and the digital, the interface of brick-and-mortar commerce with web-based wireless and other next-generation technologies in ways that will create new levels of convenience and value for buyers and sellers.
U-commerce is considered to be substantially more advanced than PC-based e-commerce. In short, u-commerce is the creation of a personalized marketplace that reaches individuals where they are, at using the devices that they want to use, with the networks doing the work without the user needing to modify or intervene.
This session is intended to contribute to the understanding of the factors related to the supply, adoption and prospect of u-commerce. An ambidextrous approach will be used by exploring users’ intention to adopt in u-commerce (the demand dimension of u-commerce) and by studying the perceived market attractiveness by suppliers of u-commerce (the supply dimension of u-commerce). It will make significant contributions to a more in-depth understanding of the research related to the spread and acceptability of u-commerce.
Recommended topics include, but are not limited to, the following:
- Factors related to the decisions to adopt u-commerce, such as ubiquity (anywhere and any time), universality (multi-functional usage), ultra-yield (significant extra-gain), ultimacy (no need for further upgrading), usefulness (perceived value), uniformity (social recognition).
- Factors related to the market attractiveness of u-commerce, such as various market, social, economic, technological, and environmental factors.
- Types of new u-commerce technologies, such as those related to new wireless technology, voice recognition technology, radio frequency technology, digital TV technology, new microprocessors, CRM and Data mining technology.
- [a:]Propositions, theories and models, and research methods concerning the design, use, and evaluation of u-commerce applications.
- Concern for and evaluation of the security, safety, privacy, transparency of u-commerce applications.
- Implications and consequences of u-commerce on the behavior of individuals, groups, society, and socio-technical units.
- Qualitative & quality analysis of the components, process, interaction and context of the adoption and supply of u-commerce.
- Novel interaction and interface design, usability testing methods, personalized design for u-commerce devices.
- Case studies looking at the design, usability and evaluation of u-commerce applications.
- CRM, trust & other human dimensions of U-commerce
12. Data Driven Models In Machine Learning
Prof. Farid Beninel
CREST-ENSAI & UMR CNRS 7348
The special session is devoted to implementation of advanced data mining and machine learning methods, algorithms and technologies in real situations from business and industry with a very great importance to data fom finance, bank, insurance and customer relationship management.
- Transfer Learning
- Updating an Allocation Rule
- Big and Social Networks Data in Machine Learning
- Change Detection in Streaming Data
- Ensemble Methods
- Fuzzy Classifiers
- Change Detection in Streaming Data
13. Future Internet Architectures and Experimental Facilities
Prof. Wojciech Burakowski
Warsaw University of Technology, Poland
Prof. Shinji Shimojo
14. Data Intelligence
Prof. Sang-goo Lee
Seoul National University
Prof. Young-Kuk Kim
Chungnam National University
We are witnessing unprecedented quantity of information being generated each day by individuals and organizations, and the rate of growth is exponential. Although there are much expectation that such large amounts of data will provide various opportunities for intelligent decision making, the tremendous volume of information may create more noise than value. Innovative ways of organizing, mining and processing information is critical to realizing the potential value of the growing wealth of information to address global challenges.
We seek articles on both theoretical and practical research on dealing with and creating value from large datasets. In-progress work and position papers are also welcome.
- Large Data Management and Processing
- Data Mining & Visualization
- Social Implications
- Innovative Applications
15. Applications of Parallel and Distributed Processing
Prof. Shinsuke Tamura
University of Fukui, 3-9-1, Bunkyo, Fukui 910-8507, Japan
Prof. Yohsuke Hosoda
University of Fukui, 3-9-1, Bunkyo, Fukui 910-8507, Japan
Prof. Ken Higuchi
University of Fukui, 3-9-1, Bunkyo, Fukui 910-8507, Japan
Recent advances of hardware and software had enabled us to use distributed
and parallel processing technologies with less cost, and many efforts are
being made in developing variety of application systems. Aiming at the more
effective and efficient exploitation of distributed and parallel processing
technologies, this session gathers results of case studies for developing
and using distributed and parallel processing systems, so that researchers
and practitioners can share ideas, knowledge and experiences in various
Topics of the session include but are not limited to:
- Developments of distributed and parallel processing system applications
- Evaluation of distributed and parallel processing system applications
- Methodologies for selecting architecture and/or components of distributed and parallel processing systems
- Methodologies for developing and/or evaluating distributed and parallel processing systems.
16. Theoretical Developments and Special Topics of Machine Learning
Prof. Catalina Cocianu
Academy of Economic Studies, Bucharest, Calea Dorobantilor 15-17, Bucharest 1, 10374, ROMANIA
Prof. Luminita State
University of Pitesti, Targu din Vale 1, Pitesti, ROMANIA
The purpose of the special session "Theoretical Developments and Special Topics of Machine Learning" is to emphasize the new approaches both theoretical and practical in the area of machine learning and to bring together researchers, engineers and practitioners involved in a series of specific applications. Recently, the field of machine learning have seen an explosion of interest and nowadays is successfully applied across a wide range of domains as medicine, engineering, e-services in solving problems of high complexity as prediction, classification and control.
The session intends to be an opportunity for scientists, engineers and practitioners interested in this filed to change ideas and point out the main trends in this area.
- Mathematical tools in analysis the behavior and performance of learning algorithms
- Support Vector Machines
- Hidden Markov Models
- Special tailored neural architectures for implementing classes of learning algorithms
- Advanced techniques in supervised, semi-supervised and unsupervised learning
- Specific applications of ML