Super Computing (in Japanese)
- 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
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, (v) dynamics based control
of robots, (vi) mechanical speech synthesizer, and (vii) rescue robot projects.
- Human Systems
Mutual cooperation between human and machine is vital for any engineering
systems. Our field 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.
We investigate key issues and methodologies for the Coordination and Symbiosis
among Man, Systems and Environments 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 environments
which might be utilized to yield harmonious symbiosis among them based
on Ecological and Bio-informatic systems approaches together with Intelligent
Information Processing techniques and Artifacts Engineering.
- System Synthesis
For intelligent systems, the acquisition of information about themselves
and their surroundings is prerequisite to attain their self-stabilization
and to enhance 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
We are concerned with the education and research for pursuing intelligent
systems associated with the adaptive and learning aspects. Specifically,
we are looking at various problems in the adaptive control theory, iterative
learning control, reinforcement learning, anthropomorphic biped walking
robot, and theory of decision making.
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 computational learning
theory, texture analysis in statistical image processing.
- Systems Informatics
Research interests in the laboratory include mathematical modeling and
the theoretical analysis of information and communication systems, transportation
systems, and manufacturing systems. Current activities are concerned with
the following and related topics:
- Modeling and performance analysis of information and communication
- Queuing(Traffic) theory and its application to computer communication
- Integration of database mining and statistical analysis for network
- Stochastic analysis of discrete event systems
- Performance evaluation of multi-media communication networks
"Image" or "Picture" plays a key role as information
interface in various systems. We research and educate topics concerned
with Image Recognition, determinal quantity measurement from multi-dimentional
image, visualization of various information, and relationship between human
sensitivity and image.
- Biomedical Engineering
Researchers of the medical systems are in between the two huge research
field, information science and biology, and are required to connect them.
The research activities in Biomedical Engineering Lab. cover magnetic resonance
imaging (MRI), signal processing
and multimedia systems including haptics for medical field.
- Applied Informatics
- Super Computing (in Japanese)
Kanazawa lab. performs both education and research activities for large-scale information systems, including supercomputers in practical application areas. We have studied about grid computing technology, a fat-SMP cluster type supercomputer, high performance computing, and broadcast computing.
- Media Computing
The primary research target of our laboratory is innovative architecture for high-performance computing. We are also pursuing the studies on infrastructural and application software for parallel processing.
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