|Department||Department of Complex and Intelligent Systems|
|Specialized Fields||Statistical Signal Processing|
|Subjects in Charge||Advanced Topics in System Mathematics|
|Academic Background||Interdisciplinary Graduate School of Science and Engineering of Tokyo Institute of Technology|
|Degree||Ph.D. in Engineering|
|Personal History||Completed Doctoral Course of Interdisciplinary Graduate School of Science and Engineering of Tokyo Institute of Technology in 1988. Research Associate of the Graduate School of Engineering at Kyoto University from 1988. Associate Professor of the University Center for Intercultural Education at the University of Shiga Prefecture from 1995. Professor of Department of Complex Systems at Future University Hakodate from 2002. Professor of Department of Complex and Intelligent Systems at Future University Hakodate from 2010. Director of Center for Information System Design at Future University Hakodate from 2015. Member of the physical society of japan, IEICE. Local committee member of the 10th Asia-Pacific Conference on Near-field Optics.|
|Starting Time of Employment||April 1st, 2002.|
My research interests are statistical signal processing and correlation analysis system. I have interested in rule and knowledge extraction from big data. We have proposed a new model called “dynamic knowledge model" for rules and knowledge extraction from big data at automatically without human intervention recently.
Attractive Factors of My Research
In traditional, it has been assumed that knowledge and rules have been immutable and static. Therefore, knowledge such as Meta data and rules changed over time were not considered the final knowledge. Dynamic knowledge called such as incomplete knowledge has been considered to intermediate rules or knowledge. We will believe that the traditional assumption for rules and knowledge are not valid approach and efficient method in order to rules extraction and knowledge discovery in automatic from real world big data without human intervention. We have proposed a new model called “dynamic knowledge model" for rules extraction and knowledge discovery from big data at automatically without human intervention recently. In this approach, the dynamic update process for the knowledge structure expanded the concept of the search process of the game search tree.
It was proposed to a dynamic knowledge model without prior information for knowledge discovery and rules extraction from real world big data. Knowledge structures in the dynamic knowledge model are changed to increase the accuracy autonomously in the discovery process and the extraction process with no data from real world. An image recognition method without prior knowledge about image was developed using the dynamic knowledge model. Process of knowledge discovery in the method was implemented by extending the game tree search. For experiments, we have developed a target detection system detecting a target from two moving images.
Major Books and Papers
1. “Introduction of Near-Field Nano-Photonics,” Optronics (2001).
2. “Low Layer Protocols for Networked Appliances AMIDEN,” N. Takahashi, M. Nakamura, M. Kitano, And T. Kamae, Second International Workshop on Networked Appliances (IWNA2000), at New Brunswick, NJ, USA (2000).
3. “Frontier of biophysical,” Edited by the physical society of japan, Baifukan (1989).
4. “The electromagnetic field analysis of the fiber probe coated with metal in the collection mode NSOM,” Nobuyuki Takahashi, Grant-in-Aid for Scientific Research on Priority Areas (A) Near-field Nano-optics (NFNO), NFNO Newsletter No.6, pp.6 (1998).
5. “Scattering, Radiation and Propagation over a Two-dimensional Random Surface, - Stochastic Functional Approach”, Hisanao Ogura and Nobuyuki Takahashi, Electromagnetic Scattering by Rough Surfaces and Random Media Chapter 3, EMW Publishing, PIER Vol.14, pp.P89-180 (1996).
6. “Scattering, Radiation and Propagation over Two-dimensional Random Surface,”Hisanao Ogura and Nobuyuki Takahashi, Journal of Electromagnetics Waves and Applications, 10, No.4, pp.537-538 (1996).
7. “Enhanced Scattering from a Planar Waveguide Structure with a Slightly Rough Boundary,” Z. Liang, H. Ogura and N. Takahashi, Physical Review B, 52, No.8, pp.6027-6041 (1995).
8. “Synthesis of "Narrow-Band" Random Moving Image by means of Computer,” N. Takahashi, T. Tanaka and H. Ogura, IEICE, J76-A, No.8, pp.1088－1096(1993).
9. “Global Bifurcation Structure in Periodically Stimulated Giant Axons of Squid,” N. Takahashi, Y. Hanyu, T. Musha, R. Kubo and G. Matsumoto, Physica D, 43, pp.318-334 (1990).
10. “Chaos, Phase Locking and Bifurcation in Normal Squid Axons,” G. Matsumoto, N. Takahashi and Y. Hanyu, Chaos in Bio-logical Systems, Plenum, New York, pp.143-156 (1987).
11. “Chaos and Phase Locking in Normal Squid Axons,” G. Matsumoto, K. Aihara, Y. Hanyu, N. Takahashi, Y. Yoshizawa and J. Nagumo, Physic Letters A, 123, No.4, pp.162-166 (1987).
Message to Students
If you want to be got a real result, you have to have an ambitious. The ambition will be the driving force of your dream realization. At the time of the undergraduate student, please you find an ambitious.