Papers - YAMAMORI Kunihito
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A high-speed generation of image classification algorithm by parallel genetic image network Reviewed
Takuya YOSHIDA, Kunihito YAMAMORI, Masaru AIKAWA
Proc. 19th International Symposium on Artificial Life and Robotics 487 - 492 2014.1
Language：English Publishing type：Research paper (international conference proceedings)
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A detection method for snoRNA modification domain by fully indexable dictionary retrieving Reviewed
Takayuki YAMAMOTO, Kunihito YAMAMORI, Naoya KENMOCHI, Masaru AIKAWA
Proc. 19th International Symposium on Artificial Life and Robotics 481 - 486 2014.1
Language：English Publishing type：Research paper (international conference proceedings)
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A Method for Newspaper Article Summarization Using the "Clause Box with a Case-Marking Particle" Reviewed
Hayato HARAGUCHI, Kunihito YAMAMORI, Masaru AIKAWA
Proc. 19th International Symposium on Artificial Life and Robotics 475 - 480 2014.1
Language：English Publishing type：Research paper (international conference proceedings)
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Self-defect-compensation simulation on pulse-coupled neural network Reviewed
Yuzuru TOMITAKA, Kunihito YAMAMORI, Masaru AIKAWA
Proc. 19th International Symposium on Artificial Life and Robotics 469 - 474 2014.1
Language：English Publishing type：Research paper (international conference proceedings)
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SVM analysis of haemophilia a by using protein structure
Aoki K., Yamamori K., Sakamoto M., Furutani H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 8227 LNCS ( PART 2 ) 681 - 688 2013.12
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Haemophilia A is a genetic disease resulting from deficiency of factor VIII. The database of mutations causing haemophilia A has been developed by the world wide collaboration. In this study, we examined the relation between activity of factor VIII and the missense mutation by using Support Vector Machine (SVM). As parameters, we used four physical-chemical parameters of amino acids and a structural feature. As a result, we predicted the severity of haemophilia A by using SVM in A domains of factor VIII. The structural parameters influence the prediction in A domains. © Springer-Verlag 2013.
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An Automatic Music Composition Method based on Music Theory
Kunihito YAMAMORI, Tomoko KOBARU, Masaru AIKAWA
MEMOIRS OF FACULTY OF ENGINEERING, UNIVERSITY OF MIYAZAKI ( 42 ) 221 - 226 2013.8
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Development of Newspaper Article Summarization System based on "Clause Box with a Case-marking Particle"
Kunihito YAMAMORI, Hayato HARAGUCHI, Masaru AIKAWA
MEMOIRS OF FACULTY OF ENGINEERING, UNIVERSITY OF MIYAZAKI ( 42 ) 227 - 232 2013.8
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Kalman-median Compound Filter for Gaussian and Impluse Noise Reduction on Digital Images
Kunihito YAMAMORI, Yoshiharu YAMADA, Masaru AIKAWA
MEMOIRS OF FACULTY OF ENGINEERING, UNIVERSITY OF MIYAZAKI ( 42 ) 233 - 238 2013.8
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Accelerating of Genetic Image Network for Image Classification by Parallel Computaion using Computer Cluster
Kunihito YAMAMORI, Takuya YOSHIDA, Masaru AIKAWA
MEMOIRS OF FACULTY OF ENGINEERING, UNIVERSITY OF MIYAZAKI ( 42 ) 245 - 250 2013.8
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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A Screening Method to Extract snoRNA Modification Domain with Fully Indexable Dictionary
Kunihito YAMAMORI, Takayuki YAMAMOTO, Masaru AIKAWA
MEMOIRS OF FACULTY OF ENGINEERING, UNIVERSITY OF MIYAZAKI ( 42 ) 239 - 244 2013.8
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)
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Hardware Design of Self-defect Compensatable Pulsed Neural Network
Yuzuru TOMITAKA, Masaru AIKAWA, Kunihito YAMAMORI
Technical Report of IEICE FIIS13 ( 348 ) 1 - 5 2013.3
Language：Japanese Publishing type：Research paper (other academic)
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A Power Saving Method by Dynamic Core-counts Control with Power Gating for Linux Server
Kazuyuki TAMOTO, Masaru AIKAWA, Kunihito YAMAMORI
Technical Report of IEICE FIIS13 ( 347 ) 1 - 8 2013.3
Language：Japanese Publishing type：Research paper (other academic)
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A Structure Model Based Method to Detect boxC/D type snoRNA genes from DNA Sequences Reviewed
Kunihito YAMAMORI, Xue CHEN, Junichi IWAKIRI, Naoya KENMOCHI, Ikuo YOSHIHARA
IPSJ Trans. Mathematical Modeling and its Applications 6 ( 1 ) 79 - 89 2013.3
Language：Japanese Publishing type：Research paper (scientific journal)
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Power Consumption Reduction by Dynamic Core-counts Control with Power Gating Reviewed
Kazuyuki TAMOTO, Kunihito YAMAMORI, Masaru AIKAWA
Proc. 18th International Symposium on Artificial Life and Robotics 49 - 52 2013.1
Language：English Publishing type：Research paper (international conference proceedings)
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Yamamori K., Matsuo T., Iwakiri J., Kenmochi N., Yoshihara I.
Artificial Life and Robotics 17 ( 3-4 ) 405 - 411 2013
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
Small nucleolar RNAs (snoRNAs) are known that they will participate with RNA modification. However, detail functions of snoRNAs have not been clear still yet. In order to make clear functions of snoRNA, finding more snoRNAs and studying their works in cells are required. In this paper, we propose a method to detect snoRNA genes using extended-weight-updating self-organizing map (eSOM). An input vector to eSOM consists of a feature vector and a target vector. Different from a conventional SOM, a winner node for an input vector is decided by the feature vector only, and all the weights around the winner node are updated to be close to the input vector. We employ bases appearance probabilities and complementary base pair ratio for a feature vector. A target vector is a flag which is 1. 0 or 0. 0 for a positive or a negative sample, respectively. Experimental results showed our method achieved 91 and 93 % detection ratio for boxC/D and boxH/ACA type snoRNA genes, respectively. © 2012 ISAROB.
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Stochastic analysis of OneMax problem using Markov chain
Ma Q., Zhang Y., Koga K., Yamamori K., Sakamoto M., Furutani H.
Artificial Life and Robotics 17 ( 3-4 ) 395 - 399 2013
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Artificial Life and Robotics
Experimental and analytical investigations are performed for OneMax problem using Wright-Fisher model. This study investigates the distribution of the first order schema frequency in the evolution process of Genetic Algorithm (GA). Effects of mutation in GA are analyzed for the standard mutation and asymmetric mutation models. If a population is in linkage equilibrium, it can be shown that OneMax problem is equivalent to the asymmetric mutation model. Thus, we can apply theoretical results obtained in the asymmetric mutation model to OneMax problem and investigate the convergence time of GA calculation within the framework of Wright-Fisher model. © 2012 ISAROB.
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Analysis of genetic disease hemophilia B by using support vector machine
Aoki K., Yamamori K., Sakamoto M., Furutani H.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7666 LNCS ( PART 4 ) 476 - 483 2012.11
Language：Japanese Publishing type：Research paper (scientific journal) Publisher：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Hemophilia B is a genetic disease resulting from deficiency of factor IX. The database of mutations causing hemophilia B has been developed by the world wide collaboration. Most common mutations are amino acid changing substitutions, which we call missense mutations, and factor IX activity is closely related to the type and position of a substitution. In this study, we examined the relation between clotting level of factor IX and the type of a missense mutation by using Support Vector Machine (SVM). As parameters, we used four physical-chemical parameters of amino acids and a special flag variable representing amino acid cysteine. As a result, EGF(1st) and EGF(2nd) have the relationship in the prediction of serious or slight illness in hemophilia B. Cysteine substitution parameters influence the prediction in Activation region. © 2012 Springer-Verlag.
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Kunihito Yamamori, Takuro Matsuo, Junichi Iwakiri, Naoya Kenmochi, Ikuo Yoshihara
Artificial Life and Robotics 17 ( 3-4 ) 405 - 411 2012.11
Language：English Publishing type：Research paper (scientific journal)
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A Structure Model Based Method to Detect boxC/D type snoRNA genes from DNA Sequences
Kunihito YAMAMORI, Xue CHEN, Junichi IWAKIRI, Naoya KENMOCHI, Ikuo YOSHIHARA
IPSJ SIG Technical Report 2012-MPS-90 ( 21 ) 1 - 6 2012.9
Language：Japanese Publishing type：Research paper (other academic)
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Development of Powersaving Setting Support Tool "LPST" for Linux Servers
Kunihito YAMAMORI, Masakazu MUKUGE, Ikuo YOSHIHARA, Masaru AIKAWA
MEMOIRS OF FACULTY OF ENGINEERING, UNIVERSITY OF MIYAZAKI ( 41 ) 317 - 321 2012.7
Language：Japanese Publishing type：Research paper (bulletin of university, research institution)