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Transcript
● Department of Systems Science
New Frontier in Informatics and Systems
Research and education in the Department of Systems Science deal with a
new and unified approach to a variety of technological problems from the standpoint of systems science. In particular, the approach requires the study of complex systems in the light of self-regulation, self-organization, and self-production.
Emphasis is also placed upon the understanding of complicated mutual interactions, hierarchical systems, distributed or parallel self-determination, humanmachine interfaces, biomedical engineering, and medical information systems.
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Graduate School of Informatics
Department of Systems Science
Divisions and Groups
Division
Human Machine
Symbiosis
System Synthesis
Group
Mechanical Systems Control SUGIE Toshiharu
Associate Professor
Assistant Professor
ISHIKAWA Masato
AZUMA Shun-ichi
Human Systems
KUMAMOTO Hiromitsu NISHIHARA Osamu HIRAOKA Toshihiro
Symbiotic Systems
KATAI Osamu
KAWAKAMI Hiroshi SHIOSE Takayuki
Adaptive Systems Theory TANAKA Toshiyuki
OGINO Katsuya
NAKAMURA Kazutaka
Mathematical System Theory SAKAI Hideaki
IKEDA Kazushi
HAYASHI Kazunori
Information systems
Systems Informatics
Professor
TAKAHASHI Yutaka KASAHARA Shoji
Image Processing Systems
Biomedical Engineering
Applied Informatics
MATSUDA Tetsuya
MASUYAMA Hiroyuki
SUGIMOTO Naozo
SEKIGUCHI Hiroyuki
AMANO Akira
MIZUTA Shinobu
KANAZAWA Masanori IWASHITA Takeshi YOSHIHISA Tomoki
Graduate Curriculum
Subjects for Master’s Program
Control Theory for Mechanical Systems
Theory of Symbiotic Systems
Statistical Systems Theory
Image Processing Systems
Medical Information Systems
Advanced Study in Systems Science 1
Systems Sciences, Advanced
Subjects for Doctoral Program
Seminar on Systems Science, Advanced
Seminar on Systems Synthesis, Advanced
Seminar on Applied Informatics, Advanced
Theory of Human-Machine Systems
Adaptive Systems Theory
Theory of Information Systems
Medical Image Media
Applied Informatics, Advanced
Advanced Study in Systems Science 2
Seminar on Human Machine Symbiosis, Advanced
Seminar on Systems Informatics, Advanced
Graduate School of Informatics
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Department of Systems Science
Human Machine Symbiosis
In the ages of information and network societies, the relationships among
Artificial Systems such as machines and Man or Environments (natural or
social) become more and more complex and are hard to be coordinated. The
division searches for effective coordination among them by theoretical, methodological and technical approaches based on Systems Theory, Control
Engineering, Artificial Intelligence, Cognitive Science, Human Interface and
Media Technologies, Robotics and Reliability Engineering thus yielding harmonious Symbiosis among them.
Mechanical Systems Control
Current research activities cover the various fields of control of mechanical
systems. In particular, we focus on the research on advanced control theory and
robotics. The individual research subjects include (i) robust control theory, (ii)
system modeling for control, (iii) nonlinear systems control, (iv) development of
various mechatronics systems, and (v) hybrid control.
(Professor: SUGIE Toshiharu, Associate Professor: ISHIKAWA Masato,
Assistant Professor: AZUMA Shunn-ichi)
Human Systems
Trident Snake Robot
Mutual cooperation between human and machine is vital for any engineering systems. Our group clarifies scientific as well as engineering approaches to
maximizing positive aspects of human and machine, while minimizing negative
ones. Current research targets include automobile, high-risk plants, dynamic
systems, all involving humans as organic elements.
(Professor: KUMAMOTO Hiromitsu, Associate Professor: NISHIHARA
Osamu, Assistant Professor: HIRAOKA Toshihiro)
Steer-by-wire experiment device for humanmachine study
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Graduate School of Informatics
Department of Systems Science
Symbiotic Systems
We investigate key issues and methodologies for the Coordination and
Symbiosis among Man, Systems and Environment by referring not only to the
traditional system design methodologies yielding rational and efficient coordination but also to the Complex Systems characteristics of man and environment which might be utilized to yield harmonious symbiosis among them based
on Ecological and Bio-inspired systems approaches together with Intelligent
Information Processing techniques, Media technologies and Artifacts
Engineering.
(Professor: KATAI Osamu, Associate Professor: KAWAKAMI Hiroshi,
Assistant Professor: SHIOSE Takayuki)
Systems Synthesis
For intelligent systems, the acquisition of information about themselves
and their surroundings is prerequisite to attainment of their self-stabilization
and enhancement of their own functions. The division performs the education
and research from the standpoint of applied mathematics for solving a variety
of problems in Systems Synthesis: the artificial realization of adaptive and
learning abilities in humans and the living things as well, and the modeling
and information processing for exploring systems’ advanced functions.
Adaptive Systems Theory
―Theoretical Approaches to Systems That Adapt, Learn, and Infer―
Digital communications as data mining: How
one can extract desired information out of
many intermixed signals is the key to highperformance digital communications.
Adaptation, learning, and inference abilities are intelligent functions
embodied by living things as well as humans. We investigate theoretical issues
that are important for realizing artificial systems with such intelligence.
Having in mind applications to artificial intelligence, pattern recognition, data
mining, and digital communication theory, we pursue various problems such as
probability-based inference and learning theory, that allows us to extract meaningful information out of uncertain environments, statistical-physics approach
to information processing, in which large-scale probability models are studied
via an analogy with statistical mechanics, and decision making on the basis of
multi-agent system and game theory.
(Professor: TANAKA Toshiyuki, Associate Professor: OGINO Katsuya,
Assistant Professor: NAKAMURA Kazutaka)
Mathematical System Theory
A framework of adaptive filters
Our research and teaching concern analysis and synthesis of mathematical
models for probabilistic and statistical problems appearing in many systems,
and development of efficient algorithms in practical implementations. Current
research projects include time series analysis, various adaptive algorithms in
digital signal processing, neural networks and machine intelligence, digital signal processing in communication systems.
(Professor: SAKAI Hideaki, Associate Professor: IKEDA Kazushi, Assistant
Professor: HAYASHI Kazunori)
Graduate School of Informatics
40
Department of Systems Science
Systems Informatics
The division performs the education and research from the standpoint of
systems science and information science for solving a variety of problems in
various kinds of practical systems. Current education and research program is
concerned with information and communication systems, image processing systems, and systems in biomedical engineering. We have concerns about not only
practical systems but also theoretical approaches.
Information Systems
Research interests in the group include mathematical modeling and theoretical analysis of information and communication systems, transportation systems, and manufacturing systems. Current activities are concerned with the
following and related topics:
1. Modeling and performance analysis of information and communication systems
2. Queueing (Traffic) theory and its application to computer communication
systems
3. Management and control of autonomic networking
4. Stochastic analysis of discrete event systems.
5. Performance evaluation of multi-media communication networks.
(Professor: TAKAHASHI Yutaka, Associate Professor: KASAHARA Shoji,
Assistant Professor: MASUYAMA Hiroyuki)
Image Processing Systems
Images can be treated as one of the most important materials for the interface in the information science. Our research activities cover the various fields
of image processing. The individual research subjects include:
1. Image Processing General
2. Medical Image Processing
3. Multi-Dimensional Image Processing
4. KANSEI Image Processing
5. Image Display
(Associate Professor: SUGIMOTO Naozo, Assistant Professor: SEKIGUCHI
Hiroyuki)
Multi-Dimensional Image Processing
─Medical, Traffic, Multimedia─
Biomedical Engineering
The current research activities in the group cover signal / image processing
and multimedia systems for medical field. The individual research subjects are:
1. Dynamic biosimulation of the heart
2. Measurement and analysis of human organ elasticity with MRI
3. Haptic representation of human organ / tissue using VR / AR technology
4. Construction of 3D image database of human embryo
(Professor: MATSUDA Tetsuya, Associate Professor: AMANO Akira, Assistant
Professor: MIZUTA Shinobu)
41
Graduate School of Informatics
Three-dimensional display of human embryo
obtained with MR microscopy
Department of Systems Science
Applied Informatics
(Academic Center for Computing and Media Studies)
The current research activities cover large scale systems theory.
1. High performance computing and communications
2. Grid Computing
3. Operating systems for computer centers
4. Parallel Computing
5. Electromagnetic Field Analysis
(Professor: KANAZAWA Masanori, Associate Professor: IWASHITA Takeshi,
Assistant Professor: YOSHIHISA Tomoki)
Graduate School of Informatics
42