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Kobayashi Y.,Gifu National Institute of Technology
Nihon Kikai Gakkai Ronbunshu, C Hen/Transactions of the Japan Society of Mechanical Engineers, Part C | Year: 2010

In this paper, the estimation of an object's horizontal and vertical position while it is being levitated and conveyed by an active electromagnetic system is proposed. Position estimation is necessary to implement an anti-sway control on the object. An observer performs the estimation based on magnet current and voltage output from two Hall elements. The validity of the proposed method is confirmed by experiment with an actual conveyance system. Source


Yasuda M.,Gifu National Institute of Technology
Advances in Fuzzy Systems | Year: 2015

Tsallis entropy is a q-parameter extension of Shannon entropy. By extremizing the Tsallis entropy within the framework of fuzzy c-means clustering (FCM), a membership function similar to the statistical mechanical distribution function is obtained. The Tsallis entropy-based DA-FCM algorithm was developed by combining it with the deterministic annealing (DA) method. One of the challenges of this method is to determine an appropriate initial annealing temperature and a q value, according to the data distribution. This is complex, because the membership function changes its shape by decreasing the temperature or by increasing q. Quantitative relationships between the temperature and q are examined, and the results show that, in order to change uikq equally, inverse changes must be made to the temperature and q. Accordingly, in this paper, we propose and investigate two kinds of combinatorial methods for q-incrementation and the reduction of temperature for use in the Tsallis entropy-based FCM. In the proposed methods, q is defined as a function of the temperature. Experiments are performed using Fisher's iris dataset, and the proposed methods are confirmed to determine an appropriate q value in many cases. © 2015 Makoto Yasuda. Source


Kan N.,Gifu National Institute of Technology | Kobayashi K.,Yamaguchi University | Shiraishi K.,Yamaguchi University
Physical Review D - Particles, Fields, Gravitation and Cosmology | Year: 2013

We show that the higher order gravity model proposed by Meissner and Olechowski has a graviton mode, a massive spin-two excitation, and no scalar mode in a maximally symmetric spacetime; therefore, by choosing the coefficients, we can construct a Lagrangian for "critical gravity" from higher order terms of curvatures in higher dimensions. We also give a comment on construction of the theory with multicriticality in higher order gravities. © 2013 American Physical Society. Source


Yasuda M.,Gifu National Institute of Technology
SCIS and ISIS 2010 - Joint 5th International Conference on Soft Computing and Intelligent Systems and 11th International Symposium on Advanced Intelligent Systems | Year: 2010

This article is dealing with the fuzzy clustering method which combines the deterministic annealing (DA) approach with entropy, especially Shannon entropy and Tsallis entropy. By maximizing Shannon entropy, fuzzy entropy or Tsallis entropy within the framework of the fuzzy c-means (FCM) method, membership functions similar to the statistical mechanical distribution functions are obtained. We examine the characteristics of these entropy and membership functions from the statistical mechanical point of view. After that, both Shannon and Tsallis entropy based FCMs are formulated as DA clustering using the very fast annealing (VFA) method as a cooling schedule. Numerical experiments are performed and the obtained results indicates that Tsallis entropy based FCM clustering is suitable for very fast DA clustering. Source


Yasuda M.,Gifu National Institute of Technology
6th International Conference on Soft Computing and Intelligent Systems, and 13th International Symposium on Advanced Intelligence Systems, SCIS/ISIS 2012 | Year: 2012

This article is dealing with the fuzzy clustering method which combines the deterministic annealing (DA) approach with Tsallis entropy. Tsallis entropy is a q parameter extension of Shannon entropy. By maximizing Tsallis entropy within the framework of fuzzy c-means (FCM), a membership function similar to the statistical mechanical distribution functions is obtained. One of the major issue of the Tsallis entropy maximization method is that how to determine the q value is not clear. We have adjusted the q value to minimize the objective function, because q strongly affects the extent of the membership function. Numerical experiments are performed and the obtained results indicate that the proposed method works properly and the q value can be adjusted so as to make a membership function fit to a data distribution. © 2012 IEEE. Source

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