Updated on 2023/11/06

写真a

 
SHIGEI Noritaka
 
Organization
Research Field in Engineering, Science and Engineering Area Graduate School of Science and Engineering (Engineering) Department of Engineering Information Science and Biomedical Engineering Program Professor
Title
Professor

Degree

  • 博士(工学) ( 1997.3   鹿児島大学 )

Research Interests

  • 並列計算機

  • モバイルエージェント

  • ディジタル回路設計

  • ファジィ

  • 進化的計算

  • ニューラルネットワーク

  • ディジタル通信方式

  • センサネットワーク

Research Areas

  • Informatics / Soft computing

  • Informatics / Information network

  • Informatics / Computer system

Research History

  • Kagoshima University   Professor

    2022.7

  • Kagoshima University   Research Field in Engineering, Science and Engineering Area Graduate School of Science and Engineering (Engineering) Department of Engineering Electrical and Electronics Engineering Program   Associate Professor

    2020.4 - 2022.6

  • Kagoshima University   Research Field in Engineering, Science and Engineering Area Graduate School of Science and Engineering (Engineering) Electrical and Electronics Engineering Course   Associate Professor

    2009.5 - 2020.3

  • Kagoshima University

    2002.4

Professional Memberships

  • IEEE

    2015.10

  • 情報処理学会

    2015.10

  • 電子情報通信学会

    2015.10

  • 日本知能情報ファジィ学会

    2015.10

Committee Memberships

  • 情報処理学会九州支部   支部委員  

    2021.4   

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    Committee type:Academic society

  • 日本知能情報ファジィ学会   FSS2021 実行委員  

    2021.1   

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    Committee type:Other

  • 日本知能情報ファジィ学会   FSS2020 実行委員  

    2019.9 - 2020.9   

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    Committee type:Other

  • 日本知能情報ファジィ学会   FSS2019 実行委員  

    2019.1 - 2019.8   

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    Committee type:Other

  • 人工生命とロボット国際学会   Editorial board member of Journal “Artificial Life and Robotics”  

    2018.4   

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    Committee type:Academic society

  • 日本知能情報ファジィ学会   九州支部長  

    2017.4 - 2019.3   

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    Committee type:Other

  •   Professional Activities Committee Chair, IEEE Fukuoka Section  

    2017.1 - 2018.12   

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    Committee type:Other

  • 日本知能情報ファジィ学会   FSS2016 実行委員長代行  

    2016.5 - 2016.9   

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    Committee type:Other

  • 日本知能情報ファジィ学会   九州支部副支部長  

    2015.4 - 2017.3   

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    Committee type:Other

  • 基礎・境界ソサイエティ和文論文誌編集委員会   編集委員  

    2014.5 - 2018.5   

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    Committee type:Other

    一般社団法人電子情報通信学会

  • 電子情報通信学会九州支部学生会   顧問  

    2014.4 - 2017.3   

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    Committee type:Other

    一般社団法人 電子情報通信学会九州支部

  • SCIS&ISIS2014実行委員会   Local Organizing Committee Vice-Chairs (組織委員副委員長)  

    2014.2 - 2015.3   

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    Committee type:Other

    日本知能情報ファジィ学会

  • 日本知能情報ファジィ学会   九州支部運営委員  

    2011.4   

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    Committee type:Other

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Papers

  • MIYAJIMA Hirofumi, SHIGEI Noritaka, MIYAJIMA Hiromi, SHIRATORI Norio .  Neural Gas and K-Means Methods Improving the Computational Complexity for Secure Distributed Processing .  International Journal of Biomedical Soft Computing and Human Sciences: the official journal of the Biomedical Fuzzy Systems Association28 ( 1 ) 15 - 22   2023.11Neural Gas and K-Means Methods Improving the Computational Complexity for Secure Distributed ProcessingReviewed

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    Language:English   Publisher:Biomedical Fuzzy Systems Association  

    To realize a super-smart society, it is necessary to aim for advanced integration of cyberspace and physical space (real society). Artificial Intelligence (AI) analysis of big data will bring effective information that meets the needs of individuals and companies to real society more quickly. On the other hand, to build a safe and secure society, it is important to develop AI methods that protect the privacy of big data in cyberspace. However, there is a little-known method that satisfies both data confidentiality and utilization of the learning method. Therefore, the authors proposed a learning method for secure distributed processing using decomposition data. This method has higher confidentiality and utilization than the conventional method, but the increase in computational complexity due to distributed processing is a problem. In the previous paper, the authors proposed the Back Propagation (BP) method to solve this problem. In this paper, we apply this method to the Neural Gas (NG) and k-means methods for secure distributed processing, which are unsupervised learning, and show its effectiveness.

    DOI: 10.24466/ijbschs.28.1_15

  • Motomatsu T., Koga T., Shigei N., Yamaguchi M., Itagaki A., Ishizuka Y. .  A Data-Driven Inductor Modeling Technique Using Parametric Circuit Simulation and Deep Learning .  IEEE Transactions on Magnetics59 ( 11 ) 1 - 5   2023.11Reviewed International journal

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1109/TMAG.2023.3299110

    Scopus

  • Miyajima H., Shigei N., Miyajima H., Shiratori N. .  Neural Gas and k-means Methods with Reduced Communication Costs for Secure Distributed Processing .  Lecture Notes in Engineering and Computer Science2245   19 - 24   2023.7Reviewed

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    Scopus

  • Motomatsu T., Koga T., Shigei N., Yamaguchi M., Itagaki A., Ishizuka Y. .  A Data-Driven Inductor Modeling Technique Using Parametric Circuit Simulation and Deep Learning .  2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Proceedings   1 - 2   2023.5

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    Language:Japanese   Publisher:2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Proceedings  

    Optimization of magnetic components design, such as power inductors and transformers, is most needed to improve the performance of future power electronics. However, power electronics designers are faced with the problem of not having sufficient magnetic component models available for their designs. In this paper, we propose a method to construct a unique nonlinear magnetic component model using parametric circuit simulation and deep learning.

    DOI: 10.1109/INTERMAGShortPapers58606.2023.10228481

    Scopus

  • Miyajima Hirofumi, Shigei Noritaka, Miyajima Hiromi, Shiratori Norio .  Scalability improvement of simplified, secure distributed processing with decomposition data .  Nonlinear Theory and Its Applications, IEICE14 ( 2 ) 140 - 151   2023.4Scalability improvement of simplified, secure distributed processing with decomposition dataReviewed

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:The Institute of Electronics, Information and Communication Engineers  

    <p>Much research on secure and safe AI analysis methods for users has been conducted. They are 1) secure multiparty computation (SMC), 2) quasi-homomorphic encryption, 3) federated learning (FL), and so on. It is known that both utility and confidentiality are essential for machine learning using confidential data. However, there is a trade-off between them. In the previous paper, we proposed a learning method for secure distributed processing using decomposition data and parameters. The characteristic feature of this method is to achieve high confidentiality through distributed processing with decomposed data and parameters. On the other hand, the realization of machine learning through the distribution and integration of decomposition data leads to an increase in computational complexity and a deterioration of computational accuracy. In particular, while increasing the number of servers improves confidentiality, this problem becomes more pronounced. In this paper, we propose scalability improvement of simplified, secure distributed processing methods of BP and NG methods to suppress the computational complexity associated with an increase in the number of servers and demonstrate its effectiveness through a numerical simulation.</p>

    DOI: 10.1587/nolta.14.140

  • YAMAGUCHI Yuki, SHIGEI Noritaka, MIYAZAKI Masanobu, ISHIZUKA Yoichi, ABE Shinichi, NISHINO Tomoya, MIYAJIMA Hiromi .  Classification of Renal Function Trends in Time Series Data Using Machine Learning .  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics35 ( 1 ) 511 - 516   2023.2Classification of Renal Function Trends in Time Series Data Using Machine LearningReviewed

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    <p>As a preventive measure for chronic kidney disease requiring dialysis, some municipal governments and medical associations make comments to family doctors and examinees based on the results of health checkups. However, the judgment and preparation of comments are mostly done manually by physicians and public health nurses and require much labor. In this study, we examine the trend determination of kidney function level using machine learning as part of the study to realize the automation of this task. We propose a preprocessing method for time-series data dealing with different numbers of checkups and different duration of checkups. As a machine learning model, we propose ensemble learning methods using gradient boosting decision trees. The effectiveness of the proposed methods is demonstrated in evaluation using about 3,000 cases of specific health checkup data.</p>

    DOI: 10.3156/jsoft.35.1_511

  • MIYAJIMA Hirofumi, SHIGEI Noritaka, MIYAJIMA Hiromi, SHIRATORI Norio .  Computational Complexity Reduction of Secure BP Learning Algorithm with Divided Data .  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics35 ( 1 ) 506 - 510   2023.2Computational Complexity Reduction of Secure BP Learning Algorithm with Divided DataReviewed

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    <p>Many studies have been conducted on how to perform learning while maintaining data security. One of them is the secure distributed processing with decomposition data. The feature of this method is that it achieves high confidentiality by decomposing data and parameters in machine learning and performing distributed processing. On the other hand, realization of machine learning by distributed and integrated processing of decomposed data and parameters leads to an increase in computational complexity and degradation of computational accuracy. In this paper, we propose an improved BP learning method that suppresses the increase in computational complexity with the increase in the number of servers, and demonstrate its effectiveness.</p>

    DOI: 10.3156/jsoft.35.1_506

  • Yoshiki Higo, Noritaka Shigei, Hiromi Miyajima, Hirofumi Miyajima .  Computation Time Reduction and Accuracy Improvement of Secure Multiparty Computation for Back Propagation by Introducing Communication Timeout .  Proc. of International Symposium on Artificial Life and Robotics   479 - 484   2023.1Computation Time Reduction and Accuracy Improvement of Secure Multiparty Computation for Back Propagation by Introducing Communication TimeoutReviewed

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Hirofumi Miyajima; Noritaka Shigei; Hiromi Miyajima; Norio Shiratori .  Secure Distributed Processing of NG with Updatable Decomposition Data and Parameters .  2022 International Conference on Networking and Network Applications (NaNA)   354 - 360   2022.12Secure Distributed Processing of NG with Updatable Decomposition Data and ParametersReviewed

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    Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/NaNA56854.2022.00067

  • Shimasaki Ryota, Shigei Noritaka, Miyajima Hirofumi, Nakamura Yoshihiro, Miyajima Hiromi .  Improvement of Self-Driving Model Car for Indoor Patrol Task .  International Journal of Innovative Computing, Information and Control18 ( 06 ) 1829 - 1839   2022.12Reviewed

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:ICIC International  

    DOI: 10.24507/ijicic.18.06.1829

    Scopus

  • MIYAJIMA Hirofumi, SHIGEI Noritaka, MIYAJIMA Hiromi, SHIRATORI Norio .  Reducing the Computational Complexity of Machine Learning Methods Through Secure Distributed Processing .  Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association35 ( 0 ) I-1   2022.12Reducing the Computational Complexity of Machine Learning Methods Through Secure Distributed Processing

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:Biomedical Fuzzy Systems Association  

    To realize a super-smart society, it is necessary to aim for advanced integration of cyberspace and physical space (real society). AI analysis of big data will bring effective information that meets the needs of individuals and companies to the real society more quickly. On the other hand, to build a safe and secure society, it is important to develop AI analysis methods that protect the privacy of big data in cyberspace. However, there is no known method that satisfies both data confidentiality and usability of the learning method at a high level. Therefore, the authors have proposed a distributed AI method using secret decomposition data. This method has higher confidentiality and usability than conventional methods, but the increase in computational complexity due to distributed processing is a problem. In this paper, we propose a new learning method to solve this problem. In particular, we apply this method to the Neural-Gas(NG) algorithm, which is unsupervised learning, and show its effectiveness.

    DOI: 10.24466/pacbfsa.35.0_i-1

  • Miyajima H., Shigei N., Miyajima H., Shiratori N. .  Secure Distributed Processing of NG with Updatable Decomposition Data and Parameters .  Proceedings - 2022 International Conference on Networking and Network Applications, NaNA 2022   354 - 360   2022.12Reviewed

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    Language:Japanese   Publishing type:Research paper (international conference proceedings)   Publisher:Proceedings - 2022 International Conference on Networking and Network Applications, NaNA 2022  

    Machine learning using distributed data, such as federative learning (FL) and secure multiparty computation (SMC), is demanded to achieve both utility and confidentiality when using confidential data. There is a trade-off between utility and confidentiality, and in general, SMC can offer better confidentiality than FL and better utility than homomorphic encryption. In machine learning with SMC, confidentiality is improved by decomposing individual data and parameters into multiple pieces, storing each piece on each server, and learning without restoring the data or parameters themselves. However, once the conventional methods randomly decompose data and parameters, the decomposition remains permanently fixed. The fixed decomposition is considered undesirable because it gives malicious attackers more opportunities to attack the data and model. In this paper, we propose a secure distributed processing of neural gas (NG), which is one of unsupervised machine learning. In addition to the decomposition of data, the proposed method can update the decomposition of parameters during learning. Each server can independently update the decomposition of both data and parameters in the proposed method, and the data and parameters are never restored during learning. Our simulation result shows that it can achieve the same level of learning accuracy as the conventional methods.

    DOI: 10.1109/NaNA56854.2022.00067

    Scopus

  • Yamaguchi Yuki, Shigei Noritaka, Miyazaki Masanobu, Ishizuka Yoichi, Abe Shinichi, Nishino Tomoya, Miyajima Hiromi .  Classification of Kidney Function Level from Time Series Data Using Machine Learning .  Proceedings of the Fuzzy System Symposium38 ( 0 ) 741 - 745   2022.9Classification of Kidney Function Level from Time Series Data Using Machine Learning

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    <p>In this study, we aim to construct effective classification models of renal function level using machine learning, which can be used by physicians in the diagnosis of renal function. We propose a data preprocessing method for the constructed classification models to deal with different numbers and different periods of medical checkups. As machine learning models, we use gradient boosting decision tree models and propose several ensemble learning methods. The effectiveness of the proposed methods is demonstrated by simulation results with about 3,000 cases of medical checkup data.</p>

    DOI: 10.14864/fss.38.0_741

  • Miyajima Hirofumi, Shigei Noritaka, Miyajima Hiromi, Shiratori Norio .  The improved BP learning algorithm with divided data .  Proceedings of the Fuzzy System Symposium38 ( 0 ) 281 - 286   2022.9The improved BP learning algorithm with divided data

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    <p>Many studies for privacy preserving data mining have been done. Secure Multiparty Computation (SMC) has been introduced for privacy preserving data. SMC was applied to some statistical computation methods. In previous papers, we proposed synchronous Back Propagation (BP) learning for SMC. In this paper, we propose the improved BP learning method with small number of parameters, even if the number of data and weight divisions is large.</p>

    DOI: 10.14864/fss.38.0_281

  • Miyajima H., Shigei N., Miyajima H., Shiratori N. .  Securely Distributed Computation with Divided Data and Parameters for Hybrid Particle SwarmOptimization .  IAENG International Journal of Applied Mathematics52 ( 3 )   2022.8Reviewed

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IAENG International Journal of Applied Mathematics  

    Machine learning (ML) on cloud and edge systems is widely used to analyze big data and address complex problems. On the other hand, many privacy issues have arisen due to inadequate data security controls. Therefore, studies on secure machine learning on cloud and edge systems have attracted much attention. One of such studies is Federated Learning (FL), in which data is distributed on multiple servers to achieve machine learning through distributed processing. We have proposed a method to realize learning by distributed processing on multiple servers by dividing the learning data and parameters into multiple pieces in advance and distributing these pieces to each server. In previous papers, we have proposed a learning method using local search based on the Steepest Descent Method (SDM) such as Back Propagation (BP) and Neural Gas (NG). In this paper, we propose a learning method that combines a global and local search for solutions for secure distributed processing computation. In particular, we propose a secret distributed processing method for Hybrid Particle Swarm Optimization (HPSO) which is one of the global and local search methods. Its effectiveness is demonstrated by numerical simulations.

    Scopus

  • Kazuya ARIMURA, Noritaka SHIGEI, Chihiro MORITA, Yoichi ISHIZUKA, Hiromi MIYAJIMA .  Rust appearance evaluation methods for weathering steel by using bagging CNN classifier and multiple patch images .  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics   2022.5Rust appearance evaluation methods for weathering steel by using bagging CNN classifier and multiple patch imagesReviewed

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.3156/jsoft.34.2_533

  • Kohei OGURA, Noritaka SHIGEI, Hiromi MIYAJIMA .  Robust person tracking by pan-tilt camera with low-cost single board computer .  ICIC Express Letters16 ( 4 )   2022.4Robust person tracking by pan-tilt camera with low-cost single board computerReviewed International journal

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:ICIC International  

    DOI: 10.24507/icicel.16.04.381

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  Secure Learning Systems using Vertically Partitioned Data with IoT .  IAENG International Journal of Computer Science48   2022.3Secure Learning Systems using Vertically Partitioned Data with IoTReviewed International journal

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    Scopus

  • 西 結人, 重井 徳貴 .  Pix2pixを用いた急傾斜地崩壊危険箇所の推定 .  火の国情報シンポジウム2022   1 - 8   2022.3

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    Authorship:Corresponding author   Publisher:一般社団法人 情報処理学会 九州支部  

  • Kenshiro Yamanaka, Noritaka Shigei, Hirofumi Miyajima, Hiromi Miyajima .  Face image recognition resistant to posture fluctuations using intermediate template vectors and UMAP .      760 - 764   2022.1Face image recognition resistant to posture fluctuations using intermediate template vectors and UMAPReviewed

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  The generalized BP method of secret distributed processing with divided data .      691 - 696   2022.1The generalized BP method of secret distributed processing with divided dataReviewed

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  • 宮島 洋文, 重井 徳貴, 宮島 廣美, 白鳥 則郎 .  秘匿分解データを用いた新しい機械学習 .  研究報告マルチメディア通信と分散処理(DPS)2021DPS189 ( 11 ) 1 - 8   2021.12

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:情報処理学会  

  • 千々和 航, 重井 徳貴 .  サーモグラフィーと深層学習を用いた非接触入力装置における背景情報を用 いた識別精度改善 .  日本知能情報ファジィ学会九州支部学術講演会予稿集   64 - 68   2021.11

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:日本知能情報ファジィ学会 九州支部  

  • Ryo Fukuoka, Noritaka Shigei, Hirofumi Miyajima, Yoshihiro Nakamura, Hiromi Miyajima .  Self-driving model car acquiring three-point turn motion by using improved LSTM model .  Artificial Life and Robotics26 ( 4 ) 423 - 431   2021.11Reviewed International journal

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    Authorship:Corresponding author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer  

    DOI: 10.1007/s10015-021-00697-9

    Scopus

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  Securely Distributed Computation with Divided Data for Particle Swarm Optimization .  Proceedings of The International MultiConference of Engineers and Computer Scientists 2021   1 - 6   2021.10Securely Distributed Computation with Divided Data for Particle Swarm OptimizationReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  Federated Learning with Divided Data for BP .  Proceedings of The International MultiConference of Engineers and Computer Scientists 2021   94 - 99   2021.10Federated Learning with Divided Data for BPReviewed

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Kazuya Arimura, Noritaka Shigei, Chihiro Morita, Yoichi Ishizuka, Hiromi Miyajima .  Appearance evaluation of rust on weathering steel by multiple CNN discriminatorusing multiple patch images .  Proceedings of the Fuzzy System Symposium37   694 - 698   2021.9

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI: 10.14864/fss.37.0_694

  • 森山愛希,重井徳貴 .  地盤強度推定のためのニューラルネットワークモデルの最適化に関するー検討 .  電子情報通信学会九州支部 学生会講演会論文集   1 - 1   2021.9地盤強度推定のためのニューラルネットワークモデルの最適化に関するー検討

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:電子情報通信学会 九州支部  

  • 肥後佳季,重井徳貴 .  セキュアマルチパーティ計算による誤差逆伝播法の高速化と精度改善の一検討 .  電子情報通信学会九州支部 学生会講演会論文集   1 - 1   2021.9セキュアマルチパーティ計算による誤差逆伝播法の高速化と精度改善の一検討

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:電子情報通信学会 九州支部  

  • 山中謙志郎, 重井徳貴 .  顔の向きを考慮したテンプレートを用いた姿勢変動に頑健な個人識別法 .  電子情報通信学会九州支部 学生会講演会論文集   1 - 1   2021.9顔の向きを考慮したテンプレートを用いた姿勢変動に頑健な個人識別法

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:電子情報通信学会 九州支部  

  • 千々和航, 重井徳貴, 宮島廣美 .  サーモグラフィー画像と深層学習を用いた非接触インターフェースに関する検討 .  電気・情報関係学会九州支部連合大会 講演論文集   312 - 312   2021.9サーモグラフィー画像と深層学習を用いた非接触インターフェースに関する検討

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  The generalized BP learning with divided data .  Proceedings of the Fuzzy System Symposium37   196 - 201   2021.9

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    Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)   Publisher:Japan Society for Fuzzy Theory and Intelligent Informatics  

    DOI: 10.14864/fss.37.0_196

  • Miyajima Hirofumi, Shigei Noritaka, Miyajima Hiromi, Shiratori Norio .  Simplified security learning using vertically partitioned data with IoT .  Nonlinear Theory and Its Applications, IEICE12 ( 3 ) 412 - 423   2021.7Reviewed

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    Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1587/nolta.12.412

  • 松本光介, 石塚洋一, 重井徳貴, 古賀誉大 .  ディープラーニングによるダブルパルステスト評価画像解析を用いたパワーデバイスの特性評価方法の基礎検討 .  電子情報通信学会技術研究報告, 電子通信エネルギー技術121 ( 40 ) 1 - 6   2021.5ディープラーニングによるダブルパルステスト評価画像解析を用いたパワーデバイスの特性評価方法の基礎検討

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  Learning algorithms for vector quantization using vertically partitioned data with IoT .  Artificial Life and Robotics26 ( 3 ) 283 - 290   2021.4Learning algorithms for vector quantization using vertically partitioned data with IoTReviewed International journal

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer  

    DOI: https://doi.org/10.1007/s10015-021-00683-1

  • Kei HIRASHIMA, Noritaka SHIGEI, Satoshi SUGIMOTO, Yoichi ISHIZUKA, Hiromi MIYAJIMA .  Semi-Supervised Learning of CNN for Land-Use Classification from Aerial Photograph .  Journal of Japan Society for Fuzzy Theory and Intelligent Informatics33 ( 1 ) 520 - 524   2021.2Reviewed

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    Authorship:Corresponding author   Language:Japanese   Publishing type:Research paper (scientific journal)  

    DOI: 10.3156/jsoft.33.1_520

  • Ryo Fukuoka, Noritaka Shigei, Yoshihiro Nakamura, Hiromi Miyajima .  CNN and LSTM models for acquiring stop and turn motion of self-driving model car .      258 - 263   2021.1CNN and LSTM models for acquiring stop and turn motion of self-driving model carReviewed

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  • 宮島 洋文, 重井 徳貴, 宮島 廣美, 白鳥 則郎 .  セキュアマルチパーティ計算によるエッジシステム上のBP学習法の提案 .  研究報告マルチメディア通信と分散処理(DPS)2020DPS185 ( 13 ) 1 - 7   2020.12

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  • Teramura Masahiro, Shigei Noritaka, Shimoo Kosei .  Fast Detection of Center of Gravity Position Using Neural Comparator Circuit Based on Artificial Neuron .  IEEJ Transactions on Sensors and Micromachines140 ( 12 ) 336 - 342   2020.12Reviewed

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    Language:Japanese   Publishing type:Research paper (scientific journal)   Publisher:The Institute of Electrical Engineers of Japan  

    <p>This paper proposes a method to detect the center of gravity position of an object in a short time. The method may be used for real-time detection of the center of gravity position for a walking robot, a running vehicle, etc. The detection circuit employs some neural comparators based on the behavior of information processing of a biological neuron. The circuit calculates the ratio of the two signals generated from load cell sensors, and detects the center of the gravity position between the load cell sensors located at the both end of a beam. The detection error of the location is within about 3% at full-scale ratio form the circuit experiments. The detection time is about 200ns from the input signal of sensors until the output of the detection signal on average. A parallel processing circuit using a layer of neural comparators enables fast detection.</p>

    DOI: 10.1541/ieejsmas.140.336

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  • 内山 拓哉, 重井 徳貴, 杉本 知史, 石塚 洋一, 宮島 廣美 .  斜面モニタリングにおけるニューラルネットワークを用いた傾斜角度の推定 .  日本知能情報ファジィ学会九州支部学術講演会予稿集   16 - 20   2020.11

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  • 佐藤 誠也, 重井 徳貴 .  単語の条件付き確率を用いた文選択による宿泊施設のレビュー文の分類 .  日本知能情報ファジィ学会九州支部学術講演会予稿集   16 - 20   2020.11

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  • 有村 和也, 重井 徳貴, 森田 千尋, 石塚 洋一, 宮島 廣美 .  複数のパッチ画像を用いたCNN による耐候性鋼材のさびの外観評価 .  日本知能情報ファジィ学会九州支部学術講演会予稿集   21 - 25   2020.11

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Fuzzy Modeling using Vector Quantization and Local Linear Mapping .  IAENG International Journal of Computer Science47 ( 4 ) 1 - 8   2020.11Reviewed International journal

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  Simplified Security Learning Using Vertically Partitioned Data with IoT .  Proc. of 2020 International Symposium on Nonlinear Theory and Its Applications   243 - 246   2020.11Simplified Security Learning Using Vertically Partitioned Data with IoTReviewed

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  • Ryota Yamaguchi; Noritaka Shigei; Hirofumi Miyajima; Hiromi Miyajima .  Personal identification by learning-based integration of facial and clothes similarities .  2020 IEEE 9th Global Conference on Consumer Electronics, GCCE 2020   307 - 308   2020.10Reviewed International journal

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    DOI: 10.1109/GCCE50665.2020.9291732

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  • Yamaguchi Ryota, Ogura Kohei, Shigei Noritaka, Miyajima Hiromi .  Personal Identification Methods by Using Facial and Clothing Features for Entry and Exit Management and Its Identification Using Multiple Frames .  Proceedings of the Fuzzy System Symposium36 ( 0 ) 259 - 262   2020.9

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    <p>In this research, we develop user identification methods using facial and clothing features as methods without user operation. We propose two types of integration methods of facial and clothing features: the one based on thresholds and weights and the other using machine learning. Further, we propose an identiflcation method from multiple frames. The evaluation results demonstrate the effectiveness of the proposed methods.</p>

    DOI: 10.14864/fss.36.0_259

  • Miyajima Hirofumi, Shigei Noritaka, Miyajima Hiromi, Shiratori Norio .  Privacy preserving Particle Swarm Optimization method for Secure Multiparty Computation .  Proceedings of the Fuzzy System Symposium36 ( 0 ) 379 - 384   2020.9

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    <p>Many studies for privacy preserving data mining have been done. Secure Multiparty Computation (SMC) has been introduced for privacy preserving data. SMC was applied to some statistical computation methods. However, SMC needs to be applied to other complex computations for data mining. In this paper, we will propose a Particle Swarm Optimization (PSO) method for SMC and show the effectiveness in numerical simulation.</p>

    DOI: 10.14864/fss.36.0_379

  • Hirashima Kei, Shigei Noritaka, Sugimoto Satoshi, Ishizuka Yoichi, Miyajima Hiromi .  Semi-Supervised Learning for Land-Use Classification from Aerial Photograph Using Convolutional Neural Network .  Proceedings of the Fuzzy System Symposium36 ( 0 ) 277 - 282   2020.9

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    <p>In recent years, GIS (geographical information system), integrating various map information, has been utilized in a wide range of flelds. Land-use is useful information in GIS data, a basic data for developing and planning public works projects. However, detailed information is not available except for some urban areas. On the other hand, it is expected that detailed estimation can be performed by using machine learning, such as a convolutional neural network (CNN) from aerial photographs. However, to improve its accuracy, a large amount of labeled data is required. In this study, we consider generating efficiently labeled data from map symbols of GIS data as a means to efficiently increase the data. Further, we propose to perform semi-supervised learning using this method. We demonstrate the effectiveness of the proposed method in 6 classes of land-use classiflcation.</p>

    DOI: 10.14864/fss.36.0_277

  • 山下悠也, 重井徳貴, 杉本知史, 高江洲竜馬, 石塚洋一 .  家屋の有無を考慮したCNNを用いた立体地図と空中写真からの土砂災害の危険箇所推定 .  土木学会西部支部研究発表会講演概要集   275 - 276   2020.3家屋の有無を考慮したCNNを用いた立体地図と空中写真からの土砂災害の危険箇所推定

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  • 米玉利悠也, 重井徳貴, 杉本知史, 高江洲竜馬, 石塚洋一, 宮島廣美 .  ニューラルネットワークを用いた地盤強度の推定法の精度改善 .  知能と情報32 ( 1 ) 539 - 543   2020.2ニューラルネットワークを用いた地盤強度の推定法の精度改善Reviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  Fast and Secure Learning Algorithms for Classification Problems using Vertically Partitioned Data with IoT .  Proc. of International Symposium on Artificial Life and Robotics   321 - 326   2020.1Fast and Secure Learning Algorithms for Classification Problems using Vertically Partitioned Data with IoTReviewed

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  • Ryo Fukuoka, Noritaka Shigei, Yoshihiro Nakamura, Hiromi Miyajima .  Proposal of CNN models for acquiring stop and turn motion of self-driving model car .  Proc. of International Symposium on Artificial Life and Robotics   371 - 375   2020.1Proposal of CNN models for acquiring stop and turn motion of self-driving model carReviewed

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  • 岩永英俊,重井徳貴,石塚博子 .  単語の条件付き確率とTFによる特徴量を用いた問い合わせ文書の分類 .  日本知能情報ファジィ学会九州支部学術講演会予稿集   96 - 99   2019.11単語の条件付き確率とTFによる特徴量を用いた問い合わせ文書の分類

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Fuzzy Modeling using Neural Gas .  Proceedings of the World Congress on Engineering and Computer Science 2019   409 - 414   2019.11Fuzzy Modeling using Neural GasReviewed

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  • 山口涼太, 重井徳貴 .  入退室管理のための顔特徴と衣服特徴による個人識別に関する一考察 .  電気・情報関係学会九州支部連合大会 講演論文集   380 - 380   2019.9入退室管理のための顔特徴と衣服特徴による個人識別に関する一考察

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  • 米玉利悠也, 重井徳貴, 杉本知史, 高江洲竜馬, 石塚洋一 .  ニューラルネットワークを用いた地盤強度の推定法 .  第35回 ファジィ システム シンポジウム 講演論文集   70 - 73   2019.8ニューラルネットワークを用いた地盤強度の推定法

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  • 宮島洋文, 久冨木大夢, 重井徳貴, 宮島廣美 .  ベクトル量子化を用いたファジィ推論システムの学習法 .  知能と情報(日本知能情報ファジィ学会誌)31 ( 2 ) 690 - 699   2019.4ベクトル量子化を用いたファジィ推論システムの学習法Reviewed

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  • Noritaka Shigei, Kazuki Mandai, Satoshi Sugimoto, Ryoma Takaesu, Yoichi Ishizuka .  Land-Use Classification Using Convolutional Neural Network with Bagging and Reduced Categories .  Lecture Notes in Engineering and Computer Science: Proceedings of The International MultiConference of Engineers and Computer Scientists 2019   7 - 11   2019.3Land-Use Classification Using Convolutional Neural Network with Bagging and Reduced CategoriesReviewed

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    Other Link: http://www.iaeng.org/publication/IMECS2019/IMECS2019_pp7-11.pdf

  • 宮島洋文, 重井徳貴, 宮島廣美, 白鳥則郎 .  簡易秘密計算法による安全な連続値Q-learningの実現 .  バイオメディカル・ファジィ・システム学会誌20 ( 2 ) 1 - 7   2019.3簡易秘密計算法による安全な連続値Q-learningの実現Reviewed

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  • Noritaka Shigei, Hiroki Urakawa, Yoshihiro Nakamura, Masahiro Teramura, Hiromi Miyajima .  Accuracy improvement of accelerometer-based location estimation using neural network .  Advances in Intelligent Systems and Computing744   79 - 85   2018.6Reviewed

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    DOI: 10.1007/978-981-13-0869-7_9

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Norio Shiratori .  A Proposal of Profit Sharing Method for Secure Multiparty Computation .  International Journal of Innovative Computing, Information and Control14 ( 2 ) 727 - 735   2018.4A Proposal of Profit Sharing Method for Secure Multiparty ComputationReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, and Hiromi Miyajima .  Fuzzy Modeling using Vector Quantization with Supervised Learning .  Proceedings of The International MultiConference of Engineers and Computer Scientists 2018   17 - 22   2018.3Fuzzy Modeling using Vector Quantization with Supervised Learning

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, and Norio Shiratori .  Privacy Preserving Q-learning in the AnalogModel for Secure Multiparty Computation .  Proceedings of the International MultiConference of Engineers and Computer Scientists 2018   374 - 379   2018.3Privacy Preserving Q-learning in the AnalogModel for Secure Multiparty ComputationReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Yohtaro MiyanishiShinji Kitagami, Norio Shiratori .  Learning Method of Fuzzy Inference Systems for Secure Multiparty Computation .  Transactions on Engineering Technologies. IMECS 2017.   227 - 242   2018.2Learning Method of Fuzzy Inference Systems for Secure Multiparty ComputationReviewed

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer, Singapore  

    DOI: 10.1007/978-981-10-7488-2_17

  • Miyajima H. .  Analog Q-learning methods for secure multiparty computation .  IAENG International Journal of Computer Science45 ( 4 ) 623 - 629   2018Reviewed International journal

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  • Hirofumi Miyajima, Noritaka Shigei, Syunki Makino, Hiromi Miyajima, Yohtaro Miyanishi, Shinji Kitagami, Norio Shiratori .  A proposal of privacy preserving reinforcement learning for secure multiparty computation .  Artificial Intelligence Research6 ( 2 ) 57 - 68   2017.10A proposal of privacy preserving reinforcement learning for secure multiparty computationReviewed

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Sciedu Press  

    DOI: 10.5430/air.v6n2p57

  • Miyajima H. .  Initial setting of effective parameters for fuzzy modeling .  IAENG International Journal of Computer Science44 ( 3 ) 375 - 382   2017.8Reviewed International journal

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Effective Learning Algorithm for Fuzzy Inference Systems Using Neural Gas Network .  IAENG Transactions on Engineering Sciences   96 - 110   2017.8Effective Learning Algorithm for Fuzzy Inference Systems Using Neural Gas Network

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Yohtaro Miyanishi, Shinji Kitagami, Norio Shiratori .  New Privacy Preserving Clustering Methods for Secure Multiparty Computation .  Artificial Intelligence Research6 ( 1 ) 27 - 36   2017.4New Privacy Preserving Clustering Methods for Secure Multiparty ComputationReviewed

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    DOI: 10.5430/air.v6n1p27

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima, Yohtaro Miyanishi, Shinji Kitagami, Norio Shiratori .  Privacy Preserving Fuzzy Modeling for Secure Multiparty Computation .  Proceedings of The International MultiConference of Engineers and Computer Scientists 2017   451 - 456   2017.3Privacy Preserving Fuzzy Modeling for Secure Multiparty ComputationReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Fuzzy Modeling using Vector Quantization based on Input and Output Learning Data .  Proceedings of The International MultiConference of Engineers and Computer Scientists 2017   1 - 6   2017.3Fuzzy Modeling using Vector Quantization based on Input and Output Learning DataReviewed

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  • Masahiro Teramura, Noritaka Shigei, Hiromi Miyajima .  Design of hardware circuit based on a neural network model for rapid detection of center of gravity position .  IEEE Region 10 Annual International Conference, Proceedings/TENCON   251 - 254   2017.2Reviewed

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    DOI: 10.1109/TENCON.2016.7848000

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  • aNoritaka Shigei, Jo Kawasaki, Hiromi Miyajima .  Multiple-sink approach for prolonging network lifetime of Wireless Sensor Network .  IEEE Region 10 Annual International Conference, Proceedings/TENCON   2796 - 2800   2017.2Reviewed

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    DOI: 10.1109/TENCON.2016.7848551

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization .  Neural Information Processing, LNCS9950   479 - 488   2016.10The Ability of Learning Algorithms for Fuzzy Inference Systems Using Vector QuantizationReviewed

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    DOI: 10.1007/978-3-319-46681-1 57

  • Masahiro Teramura, Noritaka Shigei, Hiromi Miyajima .  Design of Distinction Circuit Using Neuron-Based Comparators .  International Workshop on Fundamental Research for Science and Technology   2016.8Design of Distinction Circuit Using Neuron-Based ComparatorsReviewed

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  • Y. Nakashima, N. Shigei, Hiromi Miyajima .  Hybrid of Ideal Movement Method and Virtual Rail Method for Network Construction in Mobile Sensor Network .  2016 IEEE International Conference on Consumer Electronics-Taiwan   281 - 282   2016.6Hybrid of Ideal Movement Method and Virtual Rail Method for Network Construction in Mobile Sensor NetworkReviewed

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/ICCE-TW.2016.7521028

  • Hiromi Miyajima, Shuji Yatsuki, Noritaka Shigei, Hirofumi Miyajima .  Some Properties on the Capability of Associative Memory for Higher Order Neural Networks .  M. Zhang (Ed.), Applied Artificial Higher Order Neural Networks for Control and Recognition   391 - 419   2016.5Some Properties on the Capability of Associative Memory for Higher Order Neural Networks

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:IGI Global  

    DOI: 10.4018/978-1-5225-0063-6.ch016

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  System identifications by SIRMs models with linear transformation of input variables .  Artificial Intelligence Research5 ( 2 ) 55 - 63   2016.4System identifications by SIRMs models with linear transformation of input variablesReviewed

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    DOI: 10.5430/air.v5n2p55

  • Hirofumi Miyajima, Kazuya Kishida, Noritaka Shigei, Hiromi Miyajima .  Learning Algorithms for Fuzzy Inference Systems Composed of Double- and Single-Input Rule Modules .  International Journal of Computer, Electrical, Automation, Control and Information Engineering10 ( 3 ) 377 - 383   2016.3Learning Algorithms for Fuzzy Inference Systems Composed of Double- and Single-Input Rule ModulesReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Kazuya Kishida, Hiromi Miyajima .  An Improved Learning Algorithm of Fuzzy Inference Systems Using Vector Quantization .  Advances in Fuzzy Sets and Systems21 ( 1 ) 59 - 77   2016.3An Improved Learning Algorithm of Fuzzy Inference Systems Using Vector QuantizationReviewed

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Pushpa Publishing House  

    DOI: 10.17654/FS021010059

  • Noritaka Shigei, Kazuto Matsumoto, Yoshiki Nakashima, Hiromi Miyajima .  Improved Network Construction Methods Based on Virtual Rails for Mobile Sensor Network .  International Journal of Computer, Electrical, Automation, Control and Information Engineering10 ( 1 ) 86 - 92   2016.1Improved Network Construction Methods Based on Virtual Rails for Mobile Sensor NetworkReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Some Properties on Fuzzy Inference Systems Composed of Small Number of Input Rule Modules .  Advances in Fuzzy Sets and Systems20 ( 2 ) 155 - 175   2015.12Some Properties on Fuzzy Inference Systems Composed of Small Number of Input Rule ModulesReviewed

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    DOI: 10.17654/AFSSDec2015_155_175

  • Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima .  Multiple Route Construction with Path-overlap Avoidance for Mobile Relay on WSN .  Engineering Letters23 ( 4 ) 299 - 306   2015.11Multiple Route Construction with Path-overlap Avoidance for Mobile Relay on WSNReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Performance Comparison of Hybrid Electromagnetism-like Mechanism Algorithms with Descent Method .  Journal of Artificial Intelligence and Soft Computing Research5 ( 4 ) 271 - 282   2015.10Performance Comparison of Hybrid Electromagnetism-like Mechanism Algorithms with Descent MethodReviewed

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    DOI: 10.1515/jaiscr-2015-0035

  • Noritaka Shigei, Yohei Yamaguchi, Hiromi Miyajima .  Air Conditioner Control Learning Users' Sensations Based on Reinforcement Learning and Its Scalability Improvement .  IAENG International Journal of Computer Science42 ( 3 ) 288 - 295   2015.7Air Conditioner Control Learning Users' Sensations Based on Reinforcement Learning and Its Scalability ImprovementReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal Approximation .  Advances in Computational Intelligence - 13th International Work-Conference on Artificial Neural Networks, 2015, Palma de Mallorca, Spain, June 10-12, 2015. Proceedings, Part I   561 - 575   2015.6SIRMs Fuzzy Inference Model with Linear Transformation of Input Variables and Universal ApproximationReviewed

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    DOI: 10.1007/978-3-319-19258-1_46

  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  Approximation Capabilities of Interpretable Fuzzy Inference Systems .  IAENG International Journal of Computer Science42 ( 2 ) 117 - 124   2015.4Approximation Capabilities of Interpretable Fuzzy Inference SystemsReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  On the Capability of a Fuzzy Inference System with Improved Interpretability .  Proceedings of The International MultiConference of Engineers and Computer Scientists 2015I   51 - 56   2015.3On the Capability of a Fuzzy Inference System with Improved InterpretabilityReviewed

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  • Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima .  Path-overlap Avoidance in Multiple Route Construction for Mobile Relay on WSN .  Proceedings of the International MultiConference of Engineers and Computer Scientists 2015I   107 - 112   2015.3Path-overlap Avoidance in Multiple Route Construction for Mobile Relay on WSNReviewed

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  • Yohei Yamaguchi, Noritaka Shigei, Hiromi Miyajima .  Air Conditioning Control System Learning Sensory Scale Based on Reinforcement Learning .  Proceedings of the International MultiConference of Engineers and Computer Scientists 2015I   1 - 6   2015.3Air Conditioning Control System Learning Sensory Scale Based on Reinforcement LearningReviewed

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  • Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima .  Effective initial route construction for mobile relay on wireless sensor network .  Artificial Life and Robotics20 ( 1 ) 49 - 55   2015.1Effective initial route construction for mobile relay on wireless sensor networkReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiroki Taketatu, Hiromi Miyajima .  Numerical Simulations for Hybrid Electromagnetism-like Mechanism OptimizationAlgorithms with Descent Methods .  Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems2   293 - 306   2014.12Numerical Simulations for Hybrid Electromagnetism-like Mechanism OptimizationAlgorithms with Descent MethodsReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  A Proposal of SIRMs Model with Linear Transformation of Input Variables .  Proc. of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems   311 - 316   2014.12A Proposal of SIRMs Model with Linear Transformation of Input VariablesReviewed

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  • Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima .  A* Algorithm-Based Initial Route Construction for Mobile Relay on WSN .  Proc. of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems   323 - 328   2014.12A* Algorithm-Based Initial Route Construction for Mobile Relay on WSN Reviewed

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  • Noritaka Shigei, Hideaki Kumashiro, Hiromi Miyajima .  Parallel Stochastic Search for PAPR Reduction of OFDM Signal .  Proc. of Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems   317 - 322   2014.12Parallel Stochastic Search for PAPR Reduction of OFDM SignalReviewed

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  • Hirofumi Miyajima, Takehiro Kawai, Noritaka Shigei, Hiromi Miyajima .  Fuzzy Inference Systems Composed of Double-Input Rule Modules for Obstacle Avoidance Problems .  IAENG International Journal of Computer Science41 ( 4 ) 222 - 230   2014.11Fuzzy Inference Systems Composed of Double-Input Rule Modules for Obstacle Avoidance ProblemsReviewed

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  • Hirofumi Miyajima, Fumihiro Kawai, Noritaka Shigei, Hiromi Miyajima .  An Application of Fuzzy Inference System Composed of Double-Input Rule Modules to Control Problems .  Proc. of IAENG International Conference on Artificial Intelligence and Applications   23 - 28   2014.3An Application of Fuzzy Inference System Composed of Double-Input Rule Modules to Control ProblemsReviewed

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  • Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima .  A Proposal of Hybrid Electromagnetism-like Mechanism Method .  Proc. of RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing   281 - 284   2014.2A Proposal of Hybrid Electromagnetism-like Mechanism MethodReviewed

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  • Yogi Anggun Saloko Yudo, Noritaka Shigei, Hiromi Miyajima .  Effective Initial Route Construction for Mobile Relay on Wireless Sensor Netowrk .  Proc. of International Symposium on Artificial Life and Robotics   311 - 316   2014.1Effective Initial Route Construction for Mobile Relay on Wireless Sensor NetowrkReviewed

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  • Noritaka Shigei, Kentaro Araki, Hiromi Miyajima .  Effective Selection and Mutation in Genetic Algorithm for PAPR Reduction of OFDM Signal .  Proc. of International Symposium on Advanced Intelligent Systems   1675 - 1687   2013.11Effective Selection and Mutation in Genetic Algorithm for PAPR Reduction of OFDM SignalReviewed

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  • Hiromi Miyajima, Masataka Fujisaki, Noritaka Shigei .  An Associative Model Based on Quantum Search Algorithms .  Proc. of International Conference on Digital Enterprise and Information Systems   98 - 107   2013.3An Associative Model Based on Quantum Search AlgorithmsReviewed

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  • Noritaka Shigei, Masahiro Teramura, Hiromi Miyajima, Naohiro Tateishi .  An Area Reduction Technique for Logic Synthesis of Neural Networks .  Proc. of International Conference on Digital Enterprise and Information Systems   108 - 118   2013.3An Area Reduction Technique for Logic Synthesis of Neural NetworksReviewed

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  • Noritaka Shigei, Issei Fukuyama, Hiromi Miyajima, Yogi A.S. Yudo .  Battery-Aware Algorithms for Mobile Relay and Route Construction on Wireless Sensor Network .  IAENG International Journal of Computer Science39 ( 3 ) 321 - 328   2012.8Battery-Aware Algorithms for Mobile Relay and Route Construction on Wireless Sensor NetworkReviewed

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  • Hiromi Miyajima, Masataka Fujisaki, Noritaka Shigei .  Quantum Search Algorithms in Analog and Digital Models .  IAENG International Journal of Computer Science39 ( 2 ) 182 - 189   2012.6Quantum Search Algorithms in Analog and Digital ModelsReviewed

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  • 寺村正広, 重井徳貴, 宮島廣美 .  蓄電池の残容量推定に適したニューラルネットワークの回路設計と推定特性 .  電子情報通信学会論文誌J95-B ( 4 ) 556 - 567   2012.4蓄電池の残容量推定に適したニューラルネットワークの回路設計と推定特性Reviewed

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  • Masataka Fujisaki, Hiromi Miyajima, Noritaka Shigei .  Data Search Algorithms based on Quantum Walk .  Proc. of International MultiConference of Engineers and Computer ScientistsI   164 - 169   2012.3Data Search Algorithms based on Quantum WalkReviewed

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  • Noritaka Shigei, Issei Fukuyama, Hiromi Miyajima, Yogi A.S. Yudo .  Battery Aware Mobile Relay for Wireless Sensor Network .  Proc. of International MultiConference of Engineers and Computer ScientistsI   368 - 373   2012.3Battery Aware Mobile Relay for Wireless Sensor NetworkReviewed

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  • H. Miyajima, N. Shigei, T. Shiiba .  Numerical Evaluation of Clustering Methods with Kernel PCA .  Convergence and Hybrid Information Technology Lecture Notes in Computer Science6935   677 - 684   2011.9Numerical Evaluation of Clustering Methods with Kernel PCA Reviewed

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  • 重井徳貴,宮島廣美,大迫司 .  スモールワールドモデルを用いた市場指向プログラミングの空調制御への応用 .  システム制御情報学会論文誌24 ( 4 ) 77 - 87   2011.4スモールワールドモデルを用いた市場指向プログラミングの空調制御への応用Reviewed

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  • N. Shigei, H. Miyajima, K. Ozono, K. Araki .  Acceleration of Genetic Algorithm for Peak Power Reduction of OFDM Signal .  IAENG International Journal of Computer Science38 ( 1 ) 32 - 37   2011.2Acceleration of Genetic Algorithm for Peak Power Reduction of OFDM SignalReviewed

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  • N. Shigei, H. Miyajima, K. Ozono .  Time-Efficient Genetic Algorithm for Peak Power Reduction of OFDM Signal .  Proc. of The World Congress on Engineering and Computer Science 2010   186 - 191   2010.11Time-Efficient Genetic Algorithm for Peak Power Reduction of OFDM SignalReviewed

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  • 三池聡明,宮島廣美,重井徳貴,野尾健太郎 .  ルール削除機能をもつ少数入力ルール群結合型ファジィ推論モデル .  知能と情報(日本知能情報ファジィ学会誌)22 ( 5 ) 81 - 89   2010.10ルール削除機能をもつ少数入力ルール群結合型ファジィ推論モデルReviewed

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  • N. Shigei, H. Miyajima, H. Morishita .  Energy Consumption Reduction of Clustering Communication Based on Number of Neighbors for Wireless Sensor Networks .  IAENG International Journal of Computer Science37 ( 3 ) 296 - 303   2010.8Energy Consumption Reduction of Clustering Communication Based on Number of Neighbors for Wireless Sensor NetworksReviewed

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  • H. Miyajima, N. Shigei, K. Arima .  Some quantum search algorithms for arbitrary initial amplitude distribution .  Proc. of International Conference on Natural Computation2   603 - 608   2010.8Some quantum search algorithms for arbitrary initial amplitude distribution Reviewed

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  • N. Shigei, H. Morishita, H. Miyajima .  Energy Efficient Clustering Communication Based on Number of Neighbors for Wireless Sensor Networks .  Proc. of International MultiConference of Engineers and Computer ScientistsII   762 - 767   2010.3Energy Efficient Clustering Communication Based on Number of Neighbors for Wireless Sensor NetworksReviewed

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  • N. Shigei, H. Miyajima, M. Maeda, L. Ma .  Bagging and AdaBoost Algorithm for Vector Quantization .  Neurocomputing73 ( 42007 ) 106 - 114   2009.12Bagging and AdaBoost Algorithm for Vector QuantizationReviewed

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  • K. Arima, N. Shigei, H. Miyajima .  A Proposal of a Quantum Search Algorithm .  Proc. of International Conference on Computer Sciences and Convergence Information Technology   1559 - 1564   2009.11A Proposal of a Quantum Search AlgorithmReviewed

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  • M. Maeda, N. Shigei, H. Miyajima .  Learning Algorithms with Neighboring Inputs in Self-Organizing Maps for Image Restoration .  Proc. of International Joint Conference on Computational Intelligence   331 - 338   2009.10Learning Algorithms with Neighboring Inputs in Self-Organizing Maps for Image RestorationReviewed

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  • T. Shiiba, N. Shigei, H. Miyajima .  A Consideration on Vector Quantization Clusterings with Kernel Functions .  Proc. of the 24th International Technical Conference on Circuits/Systems, Computers and Communications   637 - 640   2009.7A Consideration on Vector Quantization Clusterings with Kernel FunctionsReviewed

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  • H. Miyajima, N. Shigei, S. Yatsuki .  Higher Order Neurodynamics of Associative Memory for Sequential Patterns .  Proc. of International Symposium on Neural Networks, Lecture Notes in Computer Science 5552   886 - 894   2009.5Higher Order Neurodynamics of Associative Memory for Sequential PatternsReviewed

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  • N. Shigei, H. Miyajima, S. Nagamine .  A Proposal of Fuzzy Inference Model Composed of Small-Number-of-Input Rule Modules .  Proc. of International Symposium on Neural Networks, Lecture Notes in Computer Science 5552   118 - 126   2009.5A Proposal of Fuzzy Inference Model Composed of Small-Number-of-Input Rule ModulesReviewed

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  • N. Shigei, H. Miyajima, H. Morishita, M. Maeda .  Centralized and Distributed Clustering Methods for Energy Efficient Wireless Sensor Networks .  Proc. of International MultiConference of Engineers and Computer Sientists 2009I   423 - 427   2009.3Centralized and Distributed Clustering Methods for Energy Efficient Wireless Sensor NetworksReviewed

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  • N. Shigei, H. Miyajima .  Bagging and Boosting Algorithms for Support Vector Machine Classifiers .  Proc. of International Conference on Artificial Intelligence, Knowledge Engineering and Data Bases   372 - 377   2009.2Bagging and Boosting Algorithms for Support Vector Machine ClassifiersReviewed

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  • M. Maeda, K. Suzaki, N. Shigei, H. Miyajima .  Properties of Creation and Reduction According to the Equinumber Principle for Adaptive Vector Quantisation .  International Journal of Automation and Control2 ( 42038 ) 232 - 246   2008.12Properties of Creation and Reduction According to the Equinumber Principle for Adaptive Vector QuantisationReviewed

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  • N. Shigei, H. Miyajima, S. Hashiguchi, M. Maeda, L. Ma .  Hardware Implementation of Multiple Vector Quantization Decoder .  International Journal of Computer Science and Network Security8 ( 11 ) 54 - 61   2008.11Hardware Implementation of Multiple Vector Quantization DecoderReviewed

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  • H. Miyajima, N. Shigei, S. Fukumoto, T. Miike .  Parallel Fuzzy Reasoning Models with Ensemble Learning .  Proc. of International Symposium on Neural Newtorks, LNCS 5263   512 - 530   2008.9Parallel Fuzzy Reasoning Models with Ensemble LearningReviewed

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  • M. Maeda, N. Shigei, H. Miyajima .  Learning Model in Relaxation Algorithm Influenced by Self-Organizing Maps for Image Restoration .  IEEJ Trans. on Electrical and Electronic Engineering3 ( 4 ) 404 - 412   2008.7Learning Model in Relaxation Algorithm Influenced by Self-Organizing Maps for Image RestorationReviewed

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  • S. Nagamine, N. Shigei, H. Miyajima .  Fuzzy Inference Models Appropriate for Digital Circuit .  Proc. of International Technical Conference on Circuit/Systems Computers and Communications   1113 - 1116   2008.7Fuzzy Inference Models Appropriate for Digital CircuitReviewed

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  • K. Arima, H. Miyajima, N. Shigei, M. Maeda .  Some Properties of Quantum Data Search Algorithms .  Proc. of International Technical Conference on Circuit/Systems Computers and Communications   1169 - 1172   2008.7Some Properties of Quantum Data Search AlgorithmsReviewed

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  • Hiromi Miyajima, Noritaka Shigei, Michiharu Maeda, Shuji Hosoda .  Learning Algorithms with Boosting for Vector Quantization .  Proc. of the 2008 International Symposium on Communications, Control and Signal Processing   352 - 356   2008.3Learning Algorithms with Boosting for Vector QuantizationReviewed

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  • M. Maeda, N. Shigei, H. Miyajima, K. Suzaki .  Reduction Models in Competitive Learning Founded on Distortion Standards .  Journal of Advanced Computational Intelligence and Intelligent Informatics12 ( 3 ) 314 - 323   2008.3Reduction Models in Competitive Learning Founded on Distortion StandardsReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda, Lixin Ma .  Effective Multiple Vector Quantization for Image Compression .  Journal of Advanced Computational Intelligence and Intelligent Informatics11 ( 10 ) 1189 - 1196   2007.12Effective Multiple Vector Quantization for Image CompressionReviewed

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  • Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima, Kenichi Suzaki .  Characteristics of Adaptive Vector Quantization According to the Equinumber Principle .  Proc. of the 8th International Conference on Intelligent Technologies   21 - 26   2007.12Characteristics of Adaptive Vector Quantization According to the Equinumber PrincipleReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  Multiple Vector Quantization Based on the Error Distribution in Image Compression .  Proc. of the 8th International Conference on Intelligent Technologies   324 - 331   2007.12Multiple Vector Quantization Based on the Error Distribution in Image CompressionReviewed

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  • Hiromi Miyajima, Noritaka Shigei, Shinya Fukumoto, Nobuya Nakatsu .  A Learning Algorithm with Boosting for Fuzzy Reasoning Model .  Proc. of International Conference on Fuzzy Systems and Knowledge Discovery2   85 - 90   2007.8A Learning Algorithm with Boosting for Fuzzy Reasoning ModelReviewed

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  • 重井徳貴,宮島廣美,山口和彦 .  領域間結合が疎な領域分割に基づくモバイルエージェントのメッセージ伝達法 .  電子情報通信学会論文誌DJ90-D ( 6 ) 1495 - 1508   2007.6領域間結合が疎な領域分割に基づくモバイルエージェントのメッセージ伝達法Reviewed

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  • Michiharu Maeda, Hiromi Miyajima, Noritaka Shigei .  Parallel Learning Model and Topological Measurement for Self-Organizing Maps .  Journal of Advanced Computational Intelligence and Intelligent Informatics11 ( 3 ) 327 - 334   2007.3Parallel Learning Model and Topological Measurement for Self-Organizing MapsReviewed

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  • Hiromi Miyajima, Noritaka Shigei .  Associative Ability of Higher Order Correlation Models for Sequential Patterns .  Journal of Knowledge-Based and Intelligent Engineering Systems10 ( 6 ) 403 - 416   2006.12Associative Ability of Higher Order Correlation Models for Sequential PatternsReviewed

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  • Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima .  Construction of Competitive Learning by Reduction with Distortion Standards .  Proc. of International Conference on Intelligent Technologies   45 - 52   2006.12Construction of Competitive Learning by Reduction with Distortion StandardsReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  Learning Algorithm for Multiple Vector Quantization Based Image Compression .  Proc. of International Symposium on Nonlinear Theory and its Applications   836 - 839   2006.9Learning Algorithm for Multiple Vector Quantization Based Image CompressionReviewed

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  • Lixin Ma, Hiromi Miyajima, Noritaka Shigei .  Multi-Layered Neural Networks with Learning of Output Functions .  International Journal of Computers Science and Network Security6 ( 3A ) 140 - 145   2006.3Multi-Layered Neural Networks with Learning of Output FunctionsReviewed

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  • Michiharu Maeda, Hiromi Miyajima, Noritaka Shigei .  A Model of Parallel Learning in Self-Organizing Maps and Topological Measurement .  Proc. of International Conference on Intelligent Technologies   133 - 140   2005.12A Model of Parallel Learning in Self-Organizing Maps and Topological MeasurementReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  Compression Rate Improvement of Multiple Vector Quantization Based Image Compression .  Proc. of International Conference on Intelligent Technologies   228 - 233   2005.12Compression Rate Improvement of Multiple Vector Quantization Based Image CompressionReviewed

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  • Hiromi Miyajima, Noritaka Shigei .  Robustness and Capacity of Higher Order Correlation Associative Memory for Sequential Patterns .  Proc. of International Conference on Neural Information Processing   388 - 393   2005.11Robustness and Capacity of Higher Order Correlation Associative Memory for Sequential PatternsReviewed

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  • Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima .  Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber Principle .  Journal of Advanced Computational Intelligence and Intelligent Informatics9 ( 6 ) 599 - 606   2005.11Adaptive Vector Quantization with Creation and Reduction Grounded in the Equinumber PrincipleReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  Competitive Learning with Fast Neuron-Insertion .  Journal of Advanced Computational Intelligence and Intelligent Informatics9 ( 6 ) 590 - 598   2005.11Competitive Learning with Fast Neuron-InsertionReviewed

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  • Lixin Ma, Hiromi Miyajima, Noritaka Shigei .  Learning Characteristics of Multi-Layered Higher Order Neural Networks .  International Conference of Computational Methods in Sciences and Engineering 2005, Lecture Series on Computer and Computational Sciences4   361 - 364   2005.10Learning Characteristics of Multi-Layered Higher Order Neural NetworksReviewed

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  • Hiromi Miyajima, Noritaka Shigei, Shuji Yatsuki .  Shift-Invariant Associative Memory Based on Homogeneous Neural Networks .  IEICE Trans. FundamentalsE88-A ( 10 ) 2600 - 2606   2005.10Shift-Invariant Associative Memory Based on Homogeneous Neural NetworksReviewed

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  • Hiromi Miyajima, Noritaka Shigei .  Absolute Capacities for Higher Order Associative Memory of Sequential Patterns .  Proc. of International Conf. on Knowledge-Based Intelligent Information and Engineering Systems, Lecture Notes in Computer Science3683   547 - 553   2005.9Absolute Capacities for Higher Order Associative Memory of Sequential PatternsReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  A Multiple Vector Quantization Approach to Image Compression .  Proc. of International Conference on Natural Computation, Lecture Notes in Computer Science3611   361 - 370   2005.8A Multiple Vector Quantization Approach to Image CompressionReviewed

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  • Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima .  Characteristics of Equinumber Principle for Adaptive Vector Quantization .  Proc. of International Conference on Natural Computation, Lecture Notes in Computer Science3611   415 - 424   2005.8Characteristics of Equinumber Principle for Adaptive Vector QuantizationReviewed

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  • Shinya Fukumoto, Hiromi Miyajima, Noritaka Shigei, Keita Uchikoba .  Decision Procedure of Initial Values of Fuzzy Inference System Using Counterpropagation Networks .  Journal of Signal Processing9 ( 4 ) 335 - 342   2005.7Decision Procedure of Initial Values of Fuzzy Inference System Using Counterpropagation NetworksReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  Competitive Learning with Fast Neuron-Insertion .  Proc. of the International Symposium on Computational Intelligence and Industrial Application, WM1B-2, CD-ROM   2004.12Competitive Learning with Fast Neuron-InsertionReviewed

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  • Michiharu Maeda, Noritaka Shigei, Hiromi Miyajima .  Creation and Reduction Methods of Adaptive Vector Quantization According to Equinumber of Inputs .  Proc. of the International Symposium on Computational Intelligence and Industrial Application, TA3A-1, CD-ROM   2004.12Creation and Reduction Methods of Adaptive Vector Quantization According to Equinumber of InputsReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Shuji Yatsuki .  The Associative Ability of Homogeneous Neural Networks .  Proc. of the 2004 International Symposium on Nonlinear Theory and Its Applications   645 - 648   2004.11The Associative Ability of Homogeneous Neural NetworksReviewed

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  • Hiromi Miyajima, Noritaka Shigei, Yasuo Hamakawa .  Transition Properties of Higher Order Associative Memory of Sequential Patterns .  Proc. of International Conference on Knowledge-Based Intelligent Information & Engineering Systems, LNAI3215   855 - 861   2004.9Transition Properties of Higher Order Associative Memory of Sequential PatternsReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Michiharu Maeda .  Numerical Evaluation of Incremental Vector Quantization using Stochastic Relaxation .  IEICE Trans. FundamentalsE87-A ( 9 ) 2364 - 2371   2004.9Numerical Evaluation of Incremental Vector Quantization using Stochastic RelaxationReviewed

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  • 福元伸也,宮島廣美,長澤庸二,重井徳貴 .  エントロピー項付き正則化ファジィ推論モデルの提案 .  知能と情報(日本知能情報ファジィ学会誌)16 ( 4 ) 372 - 380   2004.8エントロピー項付き正則化ファジィ推論モデルの提案Reviewed

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  • Lixin Ma, Hiromi Miyajima, Noritaka Shigei, Shuma Kawabata .  Neural Network Determining Injury by Salt Water for Distribution Lines .  Proc. of International Symposium on Neural Networks, LNCS3174   436 - 441   2004.8Neural Network Determining Injury by Salt Water for Distribution LinesReviewed

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  • Hiromi Miyajima, Noritaka Shigei, Yasuo Hamakawa .  Higher Order Differential Correlation Associative Memory of Sequential Patterns .  Proc. of the 2004 IEEE International Joint Conference on Neural Networks2   891 - 896   2004.7Higher Order Differential Correlation Associative Memory of Sequential PatternsReviewed

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  • Yasuo Hamakawa, Hiromi Miyajima, Noritaka Shigei, Takeshi Tsuruta .  On Some Properties of Higher Order Correlation Associative Memory of Sequential Patterns .  Journal of Signal Processing8 ( 3 ) 225 - 234   2004.5On Some Properties of Higher Order Correlation Associative Memory of Sequential PatternsReviewed

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  • Hiromi Miyajima, Noritaka Shigei, Nobuaki Kiriki .  Higher Order Multidirectional Associative Memory with Decreasing Energy Function .  Neural Information Processing: Research and Development (Studies in Fuzziness and Soft Computing) Springer-Verlag152   128 - 149   2004.5Higher Order Multidirectional Associative Memory with Decreasing Energy FunctionReviewed

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  • 重井 徳貴,宮島 廣美 .  ゲートアレイを対象としたモジュール配置へのSOM-SA混成手法の適用 .  第17回回路外システム軽井沢ワークショップ論文集   523 - 528   2004.4ゲートアレイを対象としたモジュール配置へのSOM-SA混成手法の適用Reviewed

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  • Hiromi Miyajima, Shinya Fukumoto, Noritaka Shigei, Kazuya Kishida .  A Self-Tuning Method of Fuzzy Inference Rules Using Counter Propagation Networks .  WSEAS Trans. Circuits and Systems3 ( 1 ) 21 - 24   2004.1A Self-Tuning Method of Fuzzy Inference Rules Using Counter Propagation NetworksReviewed

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  • Shinya Fukumoto, Noritaka Shigei, Michiharu Maeda, Hiromi Miyajima .  A Hybrid Learning Approach to Self-Organizing Neural Network for Vector Quantization .  IEICE Trans. FundamentalsE86-A ( 9 ) 2280 - 2286   2003.9A Hybrid Learning Approach to Self-Organizing Neural Network for Vector QuantizationReviewed

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  • Noritaka Shigei, Hiromi Miyajima .  Reconfiguration Classes and an Optimal Reconfiguration Method within a Reconfiguration Class .  IEICE Trans. Information and SystemsE85-D ( 12 ) 1909 - 1917   2002.12Reconfiguration Classes and an Optimal Reconfiguration Method within a Reconfiguration ClassReviewed

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  • Noritaka Shigei, Masahiro Kanda .  Overlapped-Two-Phase Broadcast and Its Evaluation on a Cluster of PCs .  IEICE Trans. Information and SystemsE85-D ( 6 ) 1039 - 1042   2002.6Overlapped-Two-Phase Broadcast and Its Evaluation on a Cluster of PCsReviewed

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  • 重井徳貴,田谷基教,宮島廣美 .  木の動的成長抑制による遺伝的プログラミングの計算量軽減 .  電子情報通信学会論文誌J83-D-I ( 3 ) 395 - 398   2000.3木の動的成長抑制による遺伝的プログラミングの計算量軽減Reviewed

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  • Noritaka Shigei, Hiromi Miyajima .  Embedding Chordal Rings and Pyramids into Mesh-Connected Computers with Multiple Buses .  IEICE Trans. Information and SystemsE83-D ( 2 ) 142 - 150   2000.2Embedding Chordal Rings and Pyramids into Mesh-Connected Computers with Multiple BusesReviewed

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  • 宮島廣美,馬立新,重井徳貴 .  高次ランダム神経回路網のパターン間の距離の変換特性 .  電気学会論文誌C118 ( 10 ) 1516 - 1521   1998.10高次ランダム神経回路網のパターン間の距離の変換特性Reviewed

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  • Noritaka Shigei, Hiromi Miyajima .  On the Search for Effective Spare Arrangement of Reconfigurable Processor Arrays Using Genetic Algorithm .  IEICE Trans. FundamentalsE81-A ( 9 ) 1898 - 1901   1998.9On the Search for Effective Spare Arrangement of Reconfigurable Processor Arrays Using Genetic AlgorithmReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Sadayuki Murashima .  Maximum finding on one-way mesh-connected computers with multiple buses .  IEICE Trans. FundamentalsE80-A ( 6 ) 1076 - 1079   1997.6Maximum finding on one-way mesh-connected computers with multiple busesReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Sadayuki Murashima .  On efficient spare arrangements and an algorithm with relocating spares for reconfiguring processor arrays .  IEICE Trans. FundamentalsE80-A ( 6 ) 988 - 995   1997.6On efficient spare arrangements and an algorithm with relocating spares for reconfiguring processor arraysReviewed

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  • Noritaka Shigei, Hiromi Miyajima, Takayuki Ishizaka, Sadayuki Murashima .  On methods for reconfiguring processor arrays .  IEICE Trans. Information and SystemsE79-D ( 8 ) 1139 - 1146   1996.8On methods for reconfiguring processor arraysReviewed

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  • 重井徳貴,宮島廣美,村島定行 .  網目結合計算機の再構成アルゴリズムとその評価 .  電子情報通信学会論文誌J79-D-I ( 7 ) 475 - 478   1996.7網目結合計算機の再構成アルゴリズムとその評価Reviewed

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  • Hiromi Miyajima, Shuji Yatsuki, Noritaka Shigei, Sadayuki Murashima .  On some dynamical properties of threshold and homogeneous networks .  IEICE Trans. FundamentalsE77-A ( 11 ) 1823 - 1830   1994.11On some dynamical properties of threshold and homogeneous networksReviewed

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Books

  • Learning Algorithms for Fuzzy Inference Systems Using Vector Quantization

    Hirofumi Miyajima, Noritaka Shigei, Hiromi Miyajima( Role: Joint author)

    "From Natural to Artificial Intelligence - Algorithms and Applications," Ricardo Lopez-Ruiz (Eds.), IntechOpen  2018.12 

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  • On Some Dynamical Properties of Randomly Connected Higher Order Neural Networks

    Hiromi Miyajima, Noritaka Shigei, Shuji Yatsuki( Role: Joint author)

    Artificial Higher Order Neural Networks for Modeling and Simulation. IGI Global  2012.9 

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  • Residual Energy Based Clustering For Energy Efficient Wireless Sensor Networks

    N. Shigei, H. Morishita, H. Miyajima, M. Maeda( Role: Joint author)

    “Intelligent Automation and Computer Engineering.” S.-I. Ao, O. Castillo and X. Huang (Eds.), Lecture Notes in Electrical Engineering, Vol.52, Springer-Verlag  2010.8 

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Presentations

  • 嶋﨑亮太, 重井徳貴, 宮島洋文, 中村喜寛, 宮島廣美   シート型マーカー使用時における自律走行モデルカーの屋内巡回動作の改善  

    電気・情報関係学会九州支部連合大会  2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:熊本市  

  • 阿多石浩輝・重井徳貴・宮島廣美   文書の自動分類におけるRoBERTaを用いた分散表現と分類層に関する一検討  

    電気・情報関係学会九州支部連合大会  2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:熊本市  

  • 平田幸基, 重井徳貴, 杉本知史, 石塚洋一, 宮島廣美   航空写真からの土地利用分類におけるクリッピング画像を用いたアンサンブル学習の一検討  

    電気・情報関係学会九州支部連合大会  2023.9 

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:熊本市  

  • 濵島修平, 重井徳貴, 宮崎正信, 阿部伸一, 石塚洋一,宮島廣美   機械学習を用いた腎機能に関する時系列健診データのクラスタリング  

    第31回 電子情報通信学会九州支部 学生会講演会  2023.9  電子情報通信学会

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 長谷健吾, 重井徳貴, 森田千尋, 石塚洋一, 宮島廣美   CGANを用いたデータ拡張における耐候性鋼材のさび画像生成の多様性の改善  

    第31回 電子情報通信学会九州支部 学生会講演会  2023.9  電子情報通信学会

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    Event date: 2023.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • Yuki Yamaguchi, Noritaka Shigei, Masanobu Miyazaki, Yoichi Ishizuka Shinichi Abe, Tomoya Nishino and Hiromi Miyajima   Development of Assistance System to Diagnose Changes in Kidney Function Using Machine Learning   International conference

    The 17th International Conference on Innovative Computing, Information and Control  2023.8  ICIC International

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    Event date: 2023.8

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kumamoto city  

  • Keigo Miwa, Noritaka Shigei, Satoshi Sugimoto, Yoichi Ishizuka and Hiromi Miyajima   Estimation of Sediment Disaster Prone Areas from Map Images Using Mask R-CNN   International conference

    The 17th International Conference on Innovative Computing, Information and Control  2023.8  ICIC International

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    Event date: 2023.8

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Kumamoto city  

  • Applying Machine Learning to Social Applications -- Attempts toward automation of tasks related to medical care, disaster prevention, and steel bridge maintenance --   Invited

    2023.3  IEICE

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    Event date: 2023.3

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:Nagasaki City  

  • 山中 謙志郎,重井 徳貴,宮島 廣美   頭部方向を用いたCNNの学習による顔画像認識  

    日本知能情報ファジィ学会九州支部学術講演会  2021.11  日本知能情報ファジィ学会九州支部

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    Event date: 2022.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 阿多石浩輝,重井徳貴   文書の自動分類における感情極性分析を用いた教師ラベルの改善  

    第30回 電子情報通信学会九州支部 学生会講演会  2022.9  電子情報通信学会

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    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 阿多石浩輝,重井徳貴   CNNを用いた土地利用分類におけるデータ拡張と4CH入力画像を用いた精度改善  

    第30回 電子情報通信学会九州支部 学生会講演会  2022.9  電子情報通信学会

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    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 千々和航, 重井徳貴, 宮島廣美   サーモグラフィー画像を用いた非接触入力装置における位置ずれを考慮した精度改善  

    電気・情報関係学会九州支部連合大会  2022.9 

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    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 森山愛希, 重井徳貴, 杉本知史, 石塚洋一, 宮島廣美   ニューラルネットワークを用いた地盤の空間分布推定におけるボーリング本数の最適化  

    電気・情報関係学会九州支部連合大会  2022.9 

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    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • Ryota Shimasaki1, Noritaka Shigei, Hirofumi Miyajima, Yoshihiro Nakamura and Hiromi Miyajima   Improvement of Self-Driving Model Car for Indoor Patrol Task   International conference

    The 16th International Conference on Innovative Computing, Information and Control  2022.9  ICIC International

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    Event date: 2022.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:online (Chongqing, China) and online  

  • Wataru Chidiwa, Noritaka Shigei, and Hiromi Miyajima   Accuracy Improvement of Thermography Image Recognition for Contactless Input Device   International conference

    5th International Symposium on Information and Knowledge Management  2022.3  ICIC International

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    Event date: 2022.3

    Language:English   Presentation type:Oral presentation (general)  

    Venue:online (Guangzhou, China / Kumamoto, Japan) and online   Country:China  

  • Takahiro Koga, Kosuke Matumoto, Yoichi Ishizuka, Noritaka Shigei, Masahiro Yamaguchi, Atsushi Itagaki, Takashi Nakamura   Large-Signal Characterization Technique for Power Electronics Magnetic Components by Deep Learning with Double Pulse Test Measurement Image   International conference

    IEEE International Magnetics Conference  2022.1  IEEE Magnetics Society

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    Event date: 2022.1

    Language:English   Presentation type:Oral presentation (general)  

    Venue:USA, online   Country:United States  

  • 宮島 洋文, 重井 徳貴, 宮島 廣美, 白鳥 則郎   秘匿分解データを用いた新しい機械学習  

    第189回マルチメディア通信と分散処理研究発表会  2021.12  情報処理学会

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    Event date: 2021.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:高知市, オンライン  

  • 千々和 航, 重井 徳貴   サーモグラフィーと深層学習を用いた非接触入力装置における背景情報を用いた識別精度改善  

    日本知能情報ファジィ学会九州支部学術講演会  2021.11  日本知能情報ファジィ学会九州支部

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    Event date: 2021.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 千々和航, 重井徳貴, 宮島廣美   サーモグラフィー画像と深層学習を用いた非接触インターフェースに関する検討  

    電気・情報関係学会九州支部連合大会 

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 山中謙志郎, 重井徳貴   顔の向きを考慮したテンプレートを用いた姿勢変動に頑健な個人識別法  

    第29回 電子情報通信学会九州支部 学生会講演会  2021.9  電子情報通信学会

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 森山愛希, 重井徳貴   地盤強度推定のためのニューラルネットワークモデルの最適化に関するー検討  

    第29回 電子情報通信学会九州支部 学生会講演会  2021.9  電子情報通信学会

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 肥後佳季, 重井徳貴   セキュアマルチパーティ計算による誤差逆伝播法の高速化と精度改善の一検討  

    第29回 電子情報通信学会九州支部 学生会講演会  2021.9  電子情報通信学会

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • Kohei Ogura, Noritaka Shigei, Hiromi Miyajima   Robust Person Tracking by Pan-Tilt Camera with Low-Cost Single Board Computer   International conference

    International Conference on Innovative Computing, Information and Control  2021.9  ICIC International

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    Event date: 2021.9

    Language:English   Presentation type:Oral presentation (general)  

    Venue:Online  

  • Hirofumi MIYAJIMA, Noritaka SHIGEI, Hiromi MIYAJIMA, Norio SHIRATORI   The generalized BP learning with divided data  

    Fuzzy System Symposium  2021.9  apan Society for Fuzzy Theory and Intelligent Informatics

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:Online  

    DOI: 10.14864/fss.37.0_196

  • Kazuya Arimura, Noritaka Shigei, Chihiro Morita, Yoichi Ishizuka, Hiromi Miyajima   Appearance evaluation of rust on weathering steel by multiple CNN discriminator using multiple patch images  

    Fuzzy System Symposium  2021.9  apan Society for Fuzzy Theory and Intelligent Informatics

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    Event date: 2021.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:Online  

    DOI: 10.14864/fss.37.0_694

  • 宮島 洋文, 重井 徳貴, 宮島 廣美, 白鳥 則郎   セキュアマルチパーティ計算によるエッジシステム上のBP学習法の提案  

    第185回マルチメディア通信と分散処理研究発表会  2020.12  情報処理学会

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    Event date: 2020.12

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:鹿児島市, オンライン  

  • 佐藤 誠也, 重井 徳貴   単語の条件付き確率を用いた文選択による宿泊施設のレビュー文の分類  

    日本知能情報ファジィ学会九州支部学術講演会  日本知能情報ファジィ学会九州支部

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    Event date: 2020.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 内山 拓哉, 重井 徳貴, 杉本 知史, 石塚 洋一   斜面モニタリングにおけるニューラルネットワークを用いた傾斜角度の推定  

    日本知能情報ファジィ学会九州支部学術講演会  日本知能情報ファジィ学会九州支部

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    Event date: 2020.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 有村 和也, 重井 徳貴, 森田 千尋, 石塚 洋一, 宮島 廣美   複数のパッチ画像を用いたCNNによる耐候性鋼材のさびの外観評価  

    日本知能情報ファジィ学会九州支部学術講演会  日本知能情報ファジィ学会九州支部

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    Event date: 2020.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

  • 宮島 洋文, 重井 徳貴, 宮島 廣美, 白鳥 則郎   簡易秘密計算による安全なPSOの実現  

    第36回ファジィシステムシンポジウム  日本知能情報ファジィ学会

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    Event date: 2020.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

    DOI: https://doi.org/10.14864/fss.36.0_379

  • 山口 涼太, 小倉 弘平, 重井 徳貴, 宮島 廣美   入退室管理のための顔特徴と衣服特徴による個人識別法と複数フレームを用いた識別  

    第36回ファジィシステムシンポジウム  日本知能情報ファジィ学会

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    Event date: 2020.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

    DOI: https://doi.org/10.14864/fss.36.0_259

  • 平島 景, 重井 徳貴, 杉本 知史, 石塚 洋一, 宮島 廣美   半教師あり学習を用いた航空写真からのCNNによる土地利用分類  

    第36回ファジィシステムシンポジウム  日本知能情報ファジィ学会

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    Event date: 2020.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:オンライン  

    DOI: https://doi.org/10.14864/fss.36.0_277

  • 宮島洋文,重井徳貴,宮島廣美,白鳥則郎   セキュアマルチパーティ計算によるエッジシステム上のBP学習法の提案  

    第185回マルチメディア通信と分散処理研究発表会  2020.9 

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    Event date: 2020.9

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 岩永英俊,重井徳貴,石塚博子   単語の条件付き確率とTFによる特徴量を用いた問い合わせ文書の分類  

    日本知能情報ファジィ学会九州支部学術講演会  日本知能情報ファジィ学会九州支部

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    Event date: 2019.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:飯塚市  

  • 山口涼太, 重井徳貴   入退室管理のための顔特徴と衣服特徴による個人識別に関する一考察  

    電気・情報関係学会九州支部連合大会 

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    Event date: 2019.9

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 米玉利 悠也, 重井 徳貴, 杉本 知史, 高江洲 竜馬, 石塚 洋一   ニューラルネットワークを用いた地盤強度の推定法  

    第35回 ファジィ システム シンポジウム 

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    Event date: 2019.8

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 福岡 遼, 重井 徳貴, 中村 喜寛   CNN を用いたモデルカーの自動運転における切り返し動作獲得のための検討  

    日本知能情報ファジィ学会九州支部夏季ワークショップ2019  日本知能情報ファジィ学会 九州支部

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    Event date: 2019.8

    Language:Japanese   Presentation type:Poster presentation  

  • 内山 拓哉, 重井 徳貴, 中村 喜寛, 杉本 知史, 高江洲 竜馬, 石塚 洋一   ニューラルネットワークを用いた無線センサネットワークの状態推定  

    日本知能情報ファジィ学会九州支部夏季ワークショップ2019  日本知能情報ファジィ学会 九州支部

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    Event date: 2019.8

    Language:Japanese   Presentation type:Poster presentation  

  • 佐藤 誠也, 重井 徳貴, 石塚 博子   分散表現ベクトルを用いた問い合わせ文書の多クラス分類に関する考察  

    日本知能情報ファジィ学会九州支部夏季ワークショップ2019  日本知能情報ファジィ学会 九州支部

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    Event date: 2019.8

    Language:Japanese   Presentation type:Poster presentation  

  • 平島 景, 重井 徳貴, 杉本 知史, 高江洲 竜馬, 石塚 洋一   CNN と航空写真を用いた土地利用分類の効率的な学習データ収集による精度改善  

    日本知能情報ファジィ学会九州支部夏季ワークショップ2019  日本知能情報ファジィ学会 九州支部

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    Event date: 2019.8

    Language:Japanese   Presentation type:Poster presentation  

  • Noritaka Shigei, Kazuki Mandai, Satoshi Sugimoto, Ryoma Takaesu, and Yoichi Ishizuka   Land-Use Classification Using Convolutional Neural Network with Bagging and Reduced Categories   International conference

    International MultiConference of Engineers and Computer Scientists 2019 

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    Event date: 2019.3

    Language:English   Presentation type:Oral presentation (general)  

  • Noritaka Shigei, Hiroki Urakawa, Yoshihiro Nakamura, Masahiro Teramura, Hiromi Miyajima   Accuracy Improvement of Accelerometer-Based Location Estimation Using Neural Network   International conference

    International Conference on Big Data Analysis and Deep Learning 

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    Event date: 2018.5

    Language:English   Presentation type:Oral presentation (general)  

  • Noritaka Shigei and Kota Sakamoto   Learning Acceleration of Q-Learning for Air Conditioner Controlling Based on Users’ Sensory   International conference

    Asia Pacific Conference on Engineering and Natural Sciences 

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    Event date: 2018.3

    Language:English   Presentation type:Poster presentation  

  • Noritaka Shigei and Motofuyu Takaki   Hybrid Method of Tone-Injection and Clipping-and-Filtering for Suppressing Nonlinear Distortion of OFDM Signal   International conference

    The 49th ISCIE International Symposium on Stochastic Systems Theory and Its Applications, Hiroshima 

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    Event date: 2017.11

    Language:English   Presentation type:Oral presentation (general)  

  • 宮崎 正信, 重井 徳貴, 阿波 友理, 西野 友哉, 石塚 洋一   コンピュータ・機械学習を用いた特定健診データからの腎症悪化ハイリスクグループ抽出とコメント自動作成の試み  

    糖尿病  2022.4  (一社)日本糖尿病学会

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