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Featured researches published by Shuhei Aida.


Pattern Recognition | 1975

A pattern classification by dynamic tactile sense information processing

Gen-ichiro Kinoshita; Shuhei Aida; Masahiro Mori

Abstract This paper describes pattern classification with an artificial tactile sense. In this method, an objects shape is determined by touching, groping and grasping it with an artificial hand with tactile sense. A simplified experiment classifying cylinders and square pillars was performed by an artificial hand with on-off switches instead of pressure sensitive elements. Highly reliable results were obtained. In addition, results of a surface groping experiment are given.


Pattern Recognition | 1982

Analysis of multivariate medical data by face method

Nakaji Honda; Shuhei Aida

Abstract This paper describes the application of face pattern as a medium to illustrate to man complex computer-processed medical diagnosis. The case of a nephrotic syndrome was selected to show the mechanics of the study. First, the design of the face pattern was constructed and psychometrical experiments analyzing the resulting facial expressions were conducted. Next, the results obtained from the analysis of facial expressions based and constructed from the original findings of conventional medical methods were used to loosely predict the patients future conditions, and the same results were compared with those of statistical procedures to test the efficiency of the method. Finally, a separate application of the method was also performed to indicate a possible effect of corticosteroid on idiopathic nephrotic syndrome.


IFAC Proceedings Volumes | 1981

Adapting Automation to Man, Culture and Society

Thomas B. Sheridan; Tibor Vámos; Shuhei Aida

Abstract Anxiety about the effects of automation on workers and society is at least 150 years old. The recent explosion of microelectronics and robotic applications has sharpened our understanding of both the gains and the risks: mismatch to human physiological, psychological and cultural characteristics; alienation from fulfillment and dignity in work; widening of the gap between skilled and unskilled workers and between technologically developed and underdeveloped communities; decrement in individual and national security. Attention to these problems can insure that automation results in a better society. The control engineer, who is responsible for enlarging the scale of automation, should also play a role in adapting it to people. For the time being, technology should be individually designed to each culture.


Journal of Robotic Systems | 1986

Technology and corporate culture of industrial robots in Japan

Shuhei Aida; Mitsuhiko Hasegawa; Taizo Ueda

This paper describes with examples of some typical industrial robots developed in Japan the process of development, which industrial robots in Japan took. It also describes citing the differences of cultural basis between Japan and western countries the influences of automation to man, culture and society, and survey the future industrial robots.


IFAC Proceedings Volumes | 1990

The Application of Artificial Intelligence to Electricity Power System

S. Yamakawa; Shuhei Aida; K. Hagino; Nakaji Honda; T. Shimizu

Abstract A technology for electricity power diversification has been developing in the individual equipments by using power conversion technology, however, is fal ling behind in this process of diversification in the energy supply. The diversification in electricity power must be also investigated from the suppliers viewpoints. The theme we will take up is the basic problem seen in every from of supply - the importance of its diversification, especially that of A.C. frequency. It is the aim of our study to make it clear how a new system for an electricity power supply should be, which enables to cope with various demands of consumers appropriately. We will survey the actual circumstances of type of power supply and util ization in general load and special load. Further we will investigate applications of frequency conversion technologies in various fields. Then, we will design a model of a system of varied power supply and uti I ization. The structure of the new system will be a hierachical type and the introduction of artificial intell igence will be discussed for higher level controller. In this system, we will be able to plan the power supplying schedule and to operate optimal Iy from the total systems viewpoints based on the knowledge base about past experiences, for example, of emergencies or the fluctuation of energy consumption in every situation.


IFAC Proceedings Volumes | 1986

Theory and Applications of Advanced Robots

Shuhei Aida; Shinobu Sagisawa; Nakaji Honda; Mitsuhiko Hasegawa; Takeaki Shimizu

Abstract Recent results of theory and applications of advanced robots for critical work which have been researched and developed in the large-scale national research and development project for advanced robots are mentioned. Moreover, the applications of AI and Fuzzy set theory to advanced robots, that of advanced robots to manufacturing systems and the social and cultural effects by introducing robots into Japanese industry are discussed.


IFAC Proceedings Volumes | 1984

Group Consensus Formation Support Systems Introducing Distance Between Priority Rankings

Nakaji Honda; M. Tanaka; Shuhei Aida; M. Tamaki

Abstract This paper describes support systems for group consensus formation by mancomputer interaction. Preferences of group members for n objects expressed by ranking or priority vector are configurated in Euclidean space. Some quantitative processings and definitions of several indexes of group members preferences are performed by applying distance function between rankings. Two support systems are proposed using the distance concept: first, extraction of feasible consensus ranking of group and compromise rankings of the members under certain conditions; and second, visual representations of each ranking by polygon graph, configuration of the rankings by multidimensional scaling, and grouping result by dendrogram obtained by cluster analysis. Applications of the methods are also discussed.


IFAC Proceedings Volumes | 1984

Culture and Automation

Shuhei Aida; A.R. Curran; K. Henning; Thomas B. Sheridan; W. Padua Paula Filho; T. Ueda

Abstract The pannel discussion (PD-16) is organized by the Technical Committee on Social Effect of Automation for the IFAC Congress 1984 in Budapest. After the presentations of each panelist, we have had a lot of discussion between the pannelists and floors, for example, Dr. T. Martin and others


IFAC Proceedings Volumes | 1984

Macro Fault Tree and its Application to Petro Chemical Plant-Accidents

Toshiro Terano; Shigehiro Masui; Yujiro Murayama; Shuhei Aida; N. Akiyama

Abstract FTA and ETA are popular method for analyzing the accidents of large scale process plants. While these are useful for the evaluation of rare but essential accidents of a specified plant, we can not use then effectively to such accidents that are caused by the combination of small and daily troubles. Most of them are based on human errors. In this paper, we introduce a new method which is effective for the analysis of this kind of troubles. We combine Fault Tree Analysis with Multi-variable Analysis by considering sets of events. The grade of occurrence and the transition of of macro-events are fuzzified in the calculation of MFT. We can obtain common characteristics of accidents through this analysis and the general counterplans are easily deduced. We apply this method to the analysis on real data of the plant-accidents happened in Kawasaki industrial area in 12 years and comfirm its effectiveness.


IFAC Proceedings Volumes | 1983

Multidimensional Analysis on International Trade to Decipher Trends in International Relations

K. Suzuki; V.L. Vicera; Shuhei Aida

Abstract This paper aims to show how international trade influences and shapes international relations and world politics. Trade as one form of intercourse between nations are conditioned by the interaction of different bevioral variables commonly differentiating countries from one another, e.g., cultural, ideological orientation, common affiliation in international organizations, and geographical proximity. The degree to which these variables influence international trade in a certain time segment develops long-term markets, preferences, and relations between nations and this phenomenom is used in formulating a taxonomy of grouping between nations. Using the computer, Brown’s trade intensity index, multidimensional scaling, and cluster analysis are applied to the 1975 and 1978 data on international trade released by the United Nations to map out grouping of nations on an Euclidean space. Mapping in an Euclidean space is intended to simplify the visualization of the multidimensional results of analyses.

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Nakaji Honda

University of Electro-Communications

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Masahiro Mori

Tokyo Institute of Technology

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N. Akiyama

University of Electro-Communications

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V.L. Vicera

University of Electro-Communications

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Thomas B. Sheridan

Massachusetts Institute of Technology

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K. Suzuki

University of Electro-Communications

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