FUJIMURA, Shigeru

J-GLOBAL         Last updated: Oct 10, 2019 at 02:56
 
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Name
FUJIMURA, Shigeru
E-mail
fujimurawaseda.jp
URL
http://www.fujimura-lab.org/
Affiliation
Waseda University
Section
Faculty of Science and Engineering Graduate School of Information, Production, and Systems
Job title
Professor
Research funding number
00367179

Research Areas

 
 

Published Papers

 
Gozali, Alfian Akbar; Fujimura, Shigeru
Studies in Computational Intelligence   719 149-161   Jan 2018
© Springer International Publishing AG 2018. Years after being firstly introduced by Fraser and remodeled for modern application by Bremermann, genetic algorithm (GA) has a significant progression to solve many kinds of optimization problems. GA a...
Abnormal Data Analysis in Process Industries using Deep-Learning Method
Wen Song
2017 International Conference on Industrial Engineering and Engineering Management (IEEM 2017)      Dec 2017
Gozali, Alfian Akbar; Fujimura, Shigeru
Proceedings - 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2017   327-332   Aug 2017
© 2017 IEEE. Genetic algorithm (GA) is one of the standard solutions to solve many optimization problems. One of a GA type used for solving a case is island model GA (IMGA). Localization strategy is a brand-new feature for IMGA to better preserves...
Gozali, Alfian Akbar; Fujimura, Shigeru
Proceedings - 18th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing, SNPD 2017   425-430   Aug 2017
© 2017 IEEE. Genetic algorithm (GA) is one of the standard solutions to solve many optimization problems. One of a GA type used for solving a case is island model GA (IMGA). Localization strategy is a brand-new feature for IMGA to better preserves...
Abnormal State Prediction based on Deep Learning using Multiple Time Series Production Process Data
Shigeru Fujimura
International Work-Conference on Time Series Analysis (ITISE 2017)      Jul 2017

Association Memberships

 
 

Research Grants & Projects

 
Spiral-Evolutional Production Scheduling System synchronized with improvement of Production and Business process
Project Year: Apr 2015 - Mar 2018
This research aims to propose a spiral-evolutional production scheduling system which is built in synchronizing with improvement of production and business process itself. Spiral-evolution is a mechanism that a system changes itself to fit to surr...
A Reference Model for Development of Production Scheduling Systems based on Business Process Modeling
Project Year: Apr 2011 - Mar 2014
The purposes of this research are to make a generalized business process model of production scheduling work and to build a systematization reference model based on it. To make such a business process clear, various kinds of production work are an...
A Study on a cooperative fusion of Order Life-cycle Management and Production Scheduling
Order Life-cycle Management (OLM) is to manage information changing in the life cycle of many kinds of orders utilized in manufacturing companies. It improves the smart and prompt decision-making in dynamically changing situations. In this study, ...
Study on Self-Construction Production Scheduling System
With the high speed innovation of information technology, many production scheduling systems have been developed. However, a lot of customization according to individual production environment is required, and then a large investment for developme...

Patents

 
2019- 45905 : 挙動予測システム及び挙動予測方法
藤村 茂