| Project/Area Number |
08045034
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| Research Category |
Grant-in-Aid for international Scientific Research
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| Allocation Type | Single-year Grants |
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| Section | University-to-University Cooperative Research |
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| Research Field |
Intelligent informatics
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
ITO Hidenori Nagoya Institute of Technology, Faculty of Engineering, Professor, 工学部, 教授 (80213073)
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| Co-Investigator(Kenkyū-buntansha) |
WALLACE Mark G. Imperial College, IC-Parc, Principal Research fellow, ICーParc, Principal
RICHARDS Barry Imperial College, IC-Parc, Professor, ICーParc, Professor
INUZUKA Nobuhiro Nagoya Institute of Technology, Fuculty of Engineering, Lecturer, 工学部, 講師 (10221780)
SEKI Hirohisa Nagoya Institute of Technology, Fuculty of Engineering, Professor, 工学部, 教授 (90242908)
SUZUKI Ikuo Nagoya Institute of Technology, Fuculty of Engineering, Professor, 工学部, 教授 (10023152)
MARK G. Wall Imperial College. ICーParc, Principal
BARRY Richar Imperial College. ICーParc, Professor
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| Project Period (FY) |
1996 – 1998
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| Project Status |
Completed (Fiscal Year 1998)
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| Budget Amount *help |
¥3,700,000 (Direct Cost: ¥3,700,000)
Fiscal Year 1998: ¥1,300,000 (Direct Cost: ¥1,300,000)
Fiscal Year 1997: ¥1,200,000 (Direct Cost: ¥1,200,000)
Fiscal Year 1996: ¥1,200,000 (Direct Cost: ¥1,200,000)
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| Keywords | multimedia / artificial intelligence(AI) / parallel processing / higher-level reasoning / inductive learning |
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| Research Abstract |
In order to give parallel processing technology for multimedia information within the framework of artificial intelligence (AI) systems, we have investigated elements for the technology. We also enhanced these elements which are explained as follows.
1. Research on an intellectual drawing algorithm and a 'kansei' expression method
We developed algorithms for AI systems to understand, to interpret and to express multimedia information. Then, we combined these algorithms with a recognition method and an inductive learning method, which are investigated separately. Thus, the combined algorithm achieves a high-level processing. We also inspected it in an artistic domain for 'kansei' expression.
2. Research on music information processing
We developed a music composition and arrangement system based on a fractal technology, which has been used for image coding. Then, we enhanced this system in order to give total configuration of music. The enhanced system can generate and express not only main
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melodies but also counter parts of music and other parts of music, by considering structure of music.
3. Research on problem solving methods using a strategic solution method
We developed a method to induce, to generalize and to use strategic knowledge for the general problem solving framework. Its effect is inspected in an application area. We also investigated another approach within evolutionary methods. Combining these two approaches are remain for future works.
4. Knowledge acquisition using parallel inductive learning algorithms
We studied application of inductive learning methods to classify and to interpret multimedia information. We developed and compared three different approaches to parallelize the learning methods. This research archived a recognized result. We need to develop further enhancement to be used for larger scale applications.
5. Research on a high-speed abductive reasoning method using a parallel techniques
In the framework of abductive reasoning, we developed speed-up techniques using parallel processing. This is considered in a practical environment which consists of many computers connected by a network. In the real network system a computer must be used by many users and works for many tasks. We developed a parallel processing method that works in such a dynamic environment. Less
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