YAMAMOTO Naoki

J-GLOBAL         Last updated: Dec 10, 2019 at 16:44
 
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Name
YAMAMOTO Naoki
Affiliation
Kumamoto National College of Technology
Section
Department of Human-Oriented Information Systems Engineering
Job title
Professor
Degree
Master of Engineering(Toyohashi University of Technology), Doctor of Engineering(Kyushu Institute of Technology)

Research Areas

 
 

Education

 
 
   
 
Electrical Engineering, Graduate School of Engineering, Kyushu Institute of Technology
 
 
   
 
Information Engineering, Graduate School of Engineering, Toyohashi University of Technology
 

Committee Memberships

 
Jul 2014
 - 
Aug 2014
4th International Symposium on Technology for Sustainability  Reviewer
 
Jul 2013
 - 
Dec 2013
3rd International Symposium on Technology for Sustainability  Reviewer
 
2012
 - 
2012
African Journal of Biotechnology  Reviewer
 
 
   
 
The Institute of Electronics, Information and Communication Engineers  Member
 
 
   
 
Japanese Society for Engineering Education, Kyushu branch  Member
 

Published Papers

 
Development of Teaching Tool for Supporting Understanding of Tensor Decomposition Using MacMahon’s Coloured Cubes
N.Yamamoto, A.Ishida, N.Oishi, and J.Murakami
International Journal of Information and Education Technology (accepted)      2020   [Refereed]
A. Ishida, N. Yamamoto, N. Oishi, J. Murakami
SHOTOH SUGAKU   Vol.85 pp.19-23   Feb 2019
Akio Ishida, Keito Kawakami, Daisuke Furushima, Naoki Yamamoto, Jun Murakami
Vol.690 pp.147-158   Dec 2017   [Refereed]
Development of Understanding Support System of Higher Order Singular Value Decomposition by Visualizing Its Calculation Process
Chiharu Okuma, Sho Nagaoka, Jun Murakami, Naoki Yamamoto, Akio Ishida
Journal of Education in the Colleges of Technology   Vol.38 pp.129-134   Mar 2015   [Refereed]
Akio Ishida, Kei Fujii, Naoki Yamamoto, Jun Murakami, Satoko Saito, Nozomi Kano
Advanced Materials Research   Vols.971-973 pp.1874-1883   Jul 2014   [Refereed]
Akio Ishida, Ukyo Aibara, Jun Murakami, Naoki Yamamoto, Satoko Saito, Takashi Izumi, Nozomi Kano
Advanced Materials Research   Vol.823 pp.650-656   Oct 2013   [Refereed]
The multi-dimensional principal component analysis (MPCA), which is an extension of the well-known principal component analysis (PCA), is proposed to reduce the dimension and to extract the feature of the multi-dimensional data. We have analyzed t...
Akio Ishida, Takumi Noda, Jun Murakami, Naoki Yamamoto, Chiharu Okuma
Applied Mechanics and Materials   Vols.444-445 pp.703-711   Oct 2013   [Refereed]
Higher-order singular value decomposition (HOSVD) is known as an effective technique to reduce the dimension of multidimensional data. We have proposed a method to perform third-order tensor product expansion (3OTPE) by using the power method for ...
Naoki Yamamoto, Jun Murakami, Kei Fujii, Chiharu Okuma, Satoko Saito, Takashi Izumi, Nozomi Hayashida
Advanced Materials Research   Vols.718-720 pp.630-635   Jul 2013   [Refereed]
In this paper, we describe about a manner of adapting the nonnegative matrix factorization (NMF) method to the medical data, especially functional independence measure (FIM) data, and its experimental results. From the results which were obtained ...
Application of Multi-Dimensional Principal Component Analysis to Medical Data
Naoki Yamamoto, Jun Murakami, Chiharu Okuma, Yutaro Shigeto, Satoko Saito, Takashi Izumi, Nozomi Hayashida
International Journal of Engineering and Physical Sciences   Vol.6 pp.260-266   May 2012   [Refereed]
Multi-dimensional principal component analysis (PCA) is the extension of the PCA, which is used widely as the dimensionality reduction technique in multivariate data analysis, to handle multi-dimensional data. To calculate the PCA the singular val...
An Improved Algorithm for Calculation of the Third-Order Orthogonal Tensor Product Expansion by Using Singular Value Decomposition
Chiharu Okuma, Naoki Yamamoto, Jun Murakami
International Journal of Electrical and Computer Engineering   Vol.5(No.5) pp.267-276   Mar 2010   [Refereed]
As a method of expanding a higher-order tensor data to tensor products of vectors we have proposed the Third-order Orthogonal Tensor Product Expansion (3OTPE) that did similar expansion as Higher-Order Singular Value Decomposition (HOSVD). In this...

Misc

 
N. Yamamoto, A. Ishida, J. Murakami, N. Oishi
Research Reports of NIT, Kumamoto College (to be published)   Vol.10(No.1) pp.75-78   Jan 2019
Naoki Yamamoto, Kyoshiro Matsuo, Jun Murakami, Akio Ishida, Daisuke Furushima, Satoko Saito, Nozomi Kano
Proceedings of the 2015 International Conference on Mechanics and Mechatronics (ICMM2015), Changsha   pp.1140-1153   Mar 2015   [Refereed]
An Extraction Method on Insulator Colors of LAN cables
Naoki Yamamoto, Chiharu Okuma, Jun Murakami
Proceedings of the 2007 RISP International Workshop on Nonlinear Circuits and Signal Processing, Shanghai   pp.365-368   Mar 2007
Taku Kato, Naoki Yamamoto, Chiharu Okuma, Jun Murakami, Yoshifumi Shimoshio, Hiroaki Koga
IEICE technical report. Electromagnetic compatibility   106(508) pp.85-90   Jan 2007
In this report, we investigated about near-end crosstalk (NEXT) characteristics between two arbitrary wire pairs in an UTP cable. To derive an equation of the NEXT, we calculated a chain matrix for a complete circuit. And also, we calculated and m...
Calculation of 3-D Nonnegative Outer Product Expansion by thePower Method and Its Application to Digital Signal Processing
Chiharu Okuma, Jun Murakami, Naoki Yamamoto
Proceedings of the 12th International Symposium on Artificial Life and Robotics, Beppu   pp.681-684   Jan 2007

Conference Activities & Talks

 
Development of Teaching Tool for Supporting Understanding of Tensor Decomposition Using MacMahon’s Coloured Cubes
N.Yamamoto, A.Ishida, N.Oishi, and J.Murakami
2019 10th International Conference on Networking and Information Technology, Phuket   18 Nov 2019   
A Causal Analysis by Structural Equation Modeling of Sleep Monitoring Sensor Data
Nobuhiro Oishi, Naoki Yamamoto, Akio Ishida and Jun Murakami
2020 IEEE 5th International Conference on Big Data Analysis, Xiamen (to be presented)   7 Mar 2020   
Solving 3-D Puzzles Using Tensor Decomposition and Application to Education of Multidimensional Data Analysis
A. Ishida, N. Yamamoto, J. Murakami, N. Oishi
2018 10th International Conference on Software Technology and Engineering, Kuala Lumpur   25 Oct 2018   
 We have been conducting research on multi-dimensional data analysis. Because it is difficult to teach students of our laboratory the concept of multidimensional data processing, we are developing teaching materials to make them easier to understa...
Analysis of Relationship between Amount of Physical Activity of Patients in Rehabilitation and Their ADL Scores Using Multidimensional PCA
Akio Ishida, Keito Kawakami, Daisuke Furushima, Naoki Yamamoto, Jun Murakami
2017 International Conference on Mechatronics and Intelligent Robotics, Kunming   May 2017   
Measurement and Analysis of the Functional Independence Measure Data by Using Nonnegative Matrix Factorization Method
Naoki Yamamoto, Jun Murakami, Kei Fujii, Chiharu Okuma, Satoko Saito, Takashi Izumi, Nozomi Hayashida
2013 3rd International Conference on Advanced Measurement and Test, Xiamen   Mar 2013