SNPD 2017 Special Sessions


Special Session 1:
System Organization and Optimization for Big Data Analysis

Organizer:
Assist. Prof. Atsushi NUNOME
Kyoto Institute of Technology, Japan
Email: nunome@kit.ac.jp

Purpose:
Nowadays the systems which have multiple processing cores are ordinary used not only as high-end servers but also as desktop clients, and most of such computers are widely connected by networks, like the Internet. On the other hand, it is one of the most important and hot topics in the fields of computer science to make full use of large-scale data, which is so-called "Big Data".
The proposed special session aims at exploring advanced computer system designs suitable for Big Data analysis. The session covers a wide range of fields from hardware to software, and focuses on the following aspects of the system: performance, scalability, flexibility, usability, fault-tolerance and security.

Topics of interest include, but are not limited to:
- Parallel and Distributed Computer Architectures
- Parallel and Distributed Storage Systems
- Parallel and Distributed Algorithms
- Parallel and Distributed I/O Systems
- Network Architectures for Parallel and Distributed Computing
- Network and Distributed Systems Security
- Reconfigurable Systems
- Fault-Tolerant Systems
- Architectural Support for Machine Learning with Big Data

Special Session 2:
Experiences of Software Engineering and Artificial Intelligence

Organizers:
Prof. Masahide Nakamura
Kobe University, Nada, Kobe 657-8501, Japan
Tel: +81-78-803-6398
Fax: +81-78-803-6295
E-mail: masa-n@cs.kobe-u.ac.jp

Prof. Kuniaki Uehara
Kobe University, Nada, Kobe 657-8501, Japan
Tel: +81-78-803-6215
Fax: +81-78-803-6316
E-mail: uehara@kobe-u.ac.jp

Purpose:
This special session aims to bring together researchers, professors and
practitioners who are working for any activities related to software
engineering and artificial intelligence, 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 Artificial Intelligent Theories
- Experiences in Artificial Intelligent Applications
- Experiences in Software and AI education
- Experiences in Emerging Software/AI Technologies

 

Special Session 3:
Marketing & Management Science with Computational Intelligence

2. Session organizer
Name: Motoi Iwashita
Affiliation: Chiba Institute of Technology, Department of Management Information Science, Japan
Contact: iwashita.motoi@it-chiba.ac.jp

3. Scope
Consumption and distribution in our daily life become more multifaceted and complicated according to the development of information technology and the environmental change around us. Many companies struggle to understand the consumer trend considering a variety of consumer's interests using big data through information systems. Moreover, they quickly and adequately have to take action according to their strategies. In fact, marketing and management issues are very important for all the companies. Therefore, it is necessary to apply systematic and systemic approaches against various issues of marketing and management activities. Moreover, it is expected that new ideas/approaches/theories are produced by the interaction of the conventional research fields as interdisciplinary researches.
The aim of this session is sharing ideas and technologies in order to cope with issues of marketing and management in all fields by computational intelligence. Moreover, we expect to accelerate the studies and to create a new research field through the introduction of best practice, failure case, and work-in-progress issues by contributed papers.

4. Topics
The session is aimed at bringing together researchers from the areas of marketing and management science. The targets are way of seeing and thinking, ideas, approaches, theories, etc. for marketing and management science. We expect to exchange of ideas and perceptions through the session. Possible topics of interest (but are not limited to):
Marketing science
- Marketing strategy
- Customer behavior
- Pricing
- Service/product design
- Promotion/advertisement
- Revitalization issues
- Customer satisfaction
Management science
- Innovation
- Service/network management
- Customer Relationship Management
- Enterprise architecture management
- Project management
- Operation process
- Information security management
- New Type of service/application
Technology
- Data mining
- Text mining
- Multivariate analysis
- Stochastic method
Others
- Case studies

 

Special Session 4:
Advanced Information Management for Affective and Human-centered Information Systems

Organizers:
Prof. Hiroki Nomiya
Kyoto Institute of Technology, Japan
Email: nomiya@kit.ac.jp

Prof. Mitsuru Nakata
Yamaguchi University, Japan
Email: mnakata@yamaguchi-u.ac.jp

Prof. Teruhisa Hochin
Kyoto Institute of Technology, Japan
Email: hochin@kit.ac.jp

Purpose:
Advances in computers and networks have been brought sophisticated information society to us. It is desirable that they enable us to communicate with the people all over the world and to make use of a wide variety of multimedia data on the Web even though we do not have the detailed knowledge about the computers and networks. Information system therefore has to be more human-centered as well as be efficient and stable. As the managements of the information and software are important for the information system, more advanced human-centeredness must be considered in these managements. This special session focuses on the information and software managements from the human-mimetic, emotional, integral, and communicational aspects as well as information retrieval, data mining, and information utilization for information management. It aims to construct human-oriented and people-oriented information society.

Topics of interest include, but are not limited to:
- Affective Computing
- Data Mining and Knowledge Discovery
- Human Computer Interaction
- Human-mimetic, Emotional, and Communicational Approach to Information Management
- Information Retrieval and Utilization
- Multimedia Data Analysis and Processing
- Systems and Software Engineering

 

Special Session 5:
Analysis, Evaluation, and Usage of Web Information, System Behaviors, and Human Actions

Organizers:
Prof. Teruhisa Hochin
Kyoto Institute of Technology, Japan
Email: hochin@kit.ac.jp

Prof. Ushio Inoue
Tokyo Denki University, Japan
Email: inoue@c.dendai.ac.jp

Prof. Hiroki Nomiya
Kyoto Institute of Technology, Japan
Email: nomiya@kit.ac.jp

Purpose:
Advance of information and communication technologies has been brought tremendous benefits to us. Various kinds of information are available on the Web and the amount of data is growing very rapidly. It becomes very difficult to manage such data for computer systems and human beings. This special session focuses on information, systems, and humans on the web. It aims to clarify the relations and interactions among them through analysis and evaluation, and to find better system behaviors and human actions for increasing the benefits of web information.

Topics of interest include, but are not limited to:
- Internet Applications & Performances
- Information Retrieval and Recommendation
- Multimedia Data Analysis and Processing
- Affective Computing
- Emotional and Facial Expressions
- Database and Data Warehousing Systems
- Data Mining and Knowledge Discovery
- Knowledge Management and Decision Making
- Human Computer Interaction
- Cloud Computing
- Big Data Management and Analysis
- High Performance Computing
- Mobile and Ubiquitous Computing
- E-Commerce, E-Government, and E-Learning
- Information Security, Integrity, and Reliability
- Systems and Software Engineering

 

Special Session 6:
Evolutionary Computation and Its Application

-Organizers:
Makoto Fukumoto (Fukuoka Institute of Technology, Japan), fukumoto@fit.ac.jp
Yoshiko Hanada (Kansai University, Japan), hanada@kansai-u.ac.jp

-Purpose:
Many areas raise expectations for the development of techniques finding good and/or optimal solutions even though we are in era with higher information technology than ever. Evolutionary Computation (EC) is a well-known method that searches optimal or near optimal solutions based on a model of evolution of creatures. In this area, many methods having higher searching ability with faster convergence have been developed and applied into a variety of areas such as finance, industry, and design suited to user's preference.
This special session gathers new studies of EC and expects fruitful discussions for evoking chemistry of them to establish a new paradigm of EC.

Topics of interest include, but are not limited to:
- Varieties of applications of EC
- Memetic algorithms
- Interactive evolutionary computation
- Single-, multi-, and many-objective optimization
- Genetic Algorithm, Genetic programming
- Theoretical analysis of EC
- EC for multimedia data mining, analysis and processing
- EC for design
- Distributed EC