Papers - YAMAMORI Kunihito
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Togo S., Yamamori K., Yoshihara I., Nagahama K.
Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 853 - 856 2008.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08
This paper addresses a novel method to estimate physiological activities of functional foods from protein expression levels using Bayesian classifier. The procedure of classification is as follows. Firstly, making clear relations between physiological activity values of functional foods and protein expression levels using simple regression analysis, secondly constructing Bayesian classifier to classify constituents of foods into three classes; "positive", "neutral" or "negative". Finally, giving the protein expression levels of constituents of foods to be examined to the Bayesian classifier and finding the class which the foods will belong to. Physiological activity of the foods is expressed by the above-mentioned class. We tackle to estimate five physiological activities by using expression levels of thirteen proteins. ©ISAROB 2008.
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Feature extraction of protein expression levels based on classification of functional foods with SOM
Fukushima T., Yamamori K., Yoshihara I., Nagahama K.
Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08 849 - 852 2008.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Proceedings of the 13th International Symposium on Artificial Life and Robotics, AROB 13th'08
We investigate relations between physiological activities and the protein expression levels of functional foods using Self-Organizing Map (SOM). The input vectors to SOM are composed of the protein expression levels and the physiological activity. A competitive node has two kinds of weights; one is for protein expression levels, the other is for physiological activity. A winner node is decided only by the weights for protein expression levels, and all weights in each node are updated. Each node has artificially generated value of physiological activity. The nodes can he categorized by the above-mentioned physiological activity. The well-trained SOM gives us some suggestions about relations between physiological activities and the protein expression levels. ©ISAROB 2008.
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Variable-length segmental transmission line and its design guidelines
Koizumi N., Hayashi K., Yasunaga M., Yamamori K., Yoshihara I.
Artificial Life and Robotics 12 ( 1-2 ) 214 - 218 2008.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
Waveform distortion is a serious problem in higher-frequency signals on printed circuit boards (PCBs). To overcome this problem, we have already proposed the segmental transmission line (STL) method, which divides transmission lines into several segments with different line widths. Each line width is adjusted to make the reflection noises cancel each other out in order to minimize the signal distortion. In this research, we first analyze the waveform reshaping mechanism of STL. Next, we apply STL to a dual in-line memory module (DIMM) clock-line for high-speed computers. The results give helpful guidelines for STL designs, which shows the efficiency of STL. © 2008 International Symposium on Artificial Life and Robotics (ISAROB).
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Defect Compensation method for Multi-Layer Neural Network by PR Scheme with BPA algorithm
Yamamori Kunihito, Morimoto Akira, Yoshihara Ikuo
Memoirs of the Faculty of Engineering, Miyazaki University 37 275 - 280 2008.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Miyazaki University
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Development of Support System to Estimate Physiological Activity Values Using Neural Network
Yoshihara Ikuo, Kawanishi Chihiro, Yamamori Kunihito
Memoirs of the Faculty of Engineering, Miyazaki University 37 287 - 292 2008.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Miyazaki University
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Perfomance Evaluation of Parallel Ray-tracing Algorithm using Pixel-base Parallelism
Yamamori Kunihito, Sonoda Hikaru, Yoshihara Ikuo, Aikawa Masaru
Memoirs of the Faculty of Engineering, Miyazaki University 37 281 - 286 2008.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Miyazaki University
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Yamamori Kunihito, Kamiguchi Mayumi, Yoshihara Ikuo
Memoirs of the Faculty of Engineering, Miyazaki University 37 269 - 273 2008.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Miyazaki University
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Variable-length segmental transmission line and its design guidelines Reviewed
Naoki Koizumi, Kazuya Hayashi, Morotoshi Yasunaga, Kunihito Yamamori, Ikuo Yoshihara
Artificial Life and Robotics 12 214 - 218 2008.5
Language：English Publishing type：Research paper (scientific journal)
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D-1-2 Near Optimal Solution of TSP Starting from Perturbed Location
KURODA Masafumi, IWAKIRI Junichi, YAMAMORI Kunihito, YOSHIHARA Ikuo
Proceedings of the IEICE General Conference 2008 ( 1 ) 2008.3
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：The Institute of Electronics, Information and Communication Engineers
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Estimating Physiological Activities of Functional Foods from Protein Expression Levels Using Bayesian Classifier Reviewed
Shunichi TOGO, Kunihito YAMAMORI, Ikuo YOSHIHARA, Kiyoko NAGAHAMA
Proc. The Thirteenth International Symposium on Artificial Life and Robotics 2008 853 - 856 2008.1
Language：English Publishing type：Research paper (international conference proceedings)
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Feature Extraction of Protein Expression Levels Based on Classification of Functional Foods with SOM Reviewed
Tamon FUKUSHIMA, Kunihito YAMAMORI, Ikuo YOSHIHARA, Kiyoko NAGAHAMA
Proc. The Thirteenth International Symposium on Artificial Life and Robotics 2008 849 - 852 2008.1
Language：English Publishing type：Research paper (international conference proceedings)
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A New Three-Level Tree Data Structure for Representing TSP Tours in the Lin-Kernighan Heuristic
NGUYEN Hung Dinh, YOSHIHARA Ikuo, YAMAMORI Kunihito, YASUNAGA Moritoshi
IEICE transactions on fundamentals of electronics, communications and computer sciences 90 ( 10 ) 2187 - 2193 2007.10
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：一般社団法人電子情報通信学会
Lin-Kernighan (LK) is the most powerful local search for the Traveling Salesman Problem (TSP). The choice of data structure for tour representation plays a vital role in LK's performance. Binary trees are asymptotically the best tour representation but they perform empirically best only for TSPs with one million or more cities due to a large overhead. Arrays and two-level trees are used for smaller TSPs. This paper proposes a new three-level tree data structure for tour representation. Although this structure is asymptotically not better than the binary tree structure, it performs empirically better than the conventional structures for TSPs having from a thousand to three million cities.
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A New Three-Level Tree Data Structure for Representing TSP Tours in the Lin-Kernighan Heuristic Reviewed
H.D.Nguyen, I.Yoshihara, K.Yamamori, M.Yasunaga
IEICE Transactions on Fundamentals E90-A ( 10 ) 2187 - 2193 2007.10
Language：English Publishing type：Research paper (scientific journal)
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High-Speed Learning of Support Vector Machine by Divide and Conquer Method
Yamamori Kunihoto, Iwasaki Takashi, Yoshihara Ikuo, Aikawa Masaru
Memoirs of the Faculty of Engineering, Miyazaki University 36 339 - 344 2007.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Miyazaki University
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Estimation of Physiological Activity in Foods by Neural Network from Insufficient Protein Activities
Yamamori Kunihito, Tsukuda Shinsuke, Yoshihara Ikuo
Memoirs of the Faculty of Engineering, Miyazaki University 36 345 - 350 2007.8
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Miyazaki University
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Performance of Job Scheduling Algorithm with preemption and migration for Computational Grid
IWAKIRI Junichi, YAMAMORI Kunihito, YOSHIHARA Ikuo, AIKAWA Masaru
2007 ( 10 ) 25 - 30 2007.4
Language：Japanese Publishing type：Research paper (scientific journal)
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Novel Transmission Line Design Method for High Speed Digital Signals
KOIZUMI Naoki, HIDAKA Masaaki, YOSHIHARA Ikuo, YAMAMORI Kunihito, YASUNAGA Moritoshi
2007 ( 1 ) 5 - 9 2007.4
Language：Japanese Publishing type：Research paper (scientific journal)
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Implementation of an effective hybrid GA for large-scale traveling salesman problems
Nguyen H., Yoshihara I., Yamamori K., Yasunaga M.
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 37 ( 1 ) 92 - 99 2007.2
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
This correspondence describes a hybrid genetic algorithm (GA) to find high-quality solutions for the traveling salesman problem (TSP). The proposed method is based on a parallel implementation of a multipopulation steady-state GA involving local search heuristics. It uses a variant of the maximal preservative crossover and the double-bridge move mutation. An effective implementation of the Lin-Kernighan heuristic (LK) is incorporated into the method to compensate for the GA's lack of local search ability. The method is validated by comparing it with the LK-Helsgaun method (LKH), which is one of the most effective methods for the TSP. Experimental results with benchmarks having up to 316228 cities show that the proposed method works more effectively and efficiently than LKH when solving large-scale problems. Finally, the method is used together with the implementation of the iterated LK to find a new best tour (as of June 2, 2003) for a 1904711-city TSP challenge. © 2007 IEEE.
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Implementation of an Effective Hybrid GA for Large-Scale Traveling Salesman Problems Reviewed
H.D.Nguyen, I.Yoshihara, K.Yamamori, M.Yasunaga
IEEE Trans. Systems, Man, And Cybernetics, PART B:CYBERNETICS 37 ( 1 ) 92 - 99 2007.2
Language：English Publishing type：Research paper (scientific journal)
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Identification of Exon-intron Boundaries by Integration of Base-oriented Genetic Programming and Statistical Heuristics Reviewed
K.Yamamori, Y.Fujita, I.Yoshihara, M.Aikawa
Proc. Artificial Life and Robotics 2007 (AROB'07) 657 - 660 2007.1
Language：English Publishing type：Research paper (international conference proceedings)