Mizukami Lab., Nihon Univ.
College of Industrial Technology
Department of Industrial Engineering and Management
水上研究室、日本大学 生産工学部
マネジメント工学科
Researching Innovation!
Researching Management !
In our laboratory, we are researching the following fields under the themes of "Researching innovation!"
This research was conducted in collaboration with NU-Innovation Research Group.
For middle and high school
Activities
We provide trial classes for junior high and high school students.
HR Evaluation & Work Styles
Research
This research was done in collaboration with ISM, University and JAXA.
AI-Natural Lang. Processing
Research
This research was conducted in collaboration with Aoyama Gakuin University.
News!
Graduate
Students
2020写真
Results
2021写真
Instructor
2022写真
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Links
Schedule
Innovation
Our laboratory aims to "create innovation and build a new framework for knowledge creation" through "cross-disciplinary research". Our main activities include the promotion of cross-disciplinary research such as interdisciplinary fusion and industry-university collaboration, basic education on cross-disciplinary research, technical consultation on cross-disciplinary research, and workshops and lectures on cross-disciplinary research.
Translated with www.DeepL.com/Translator (free version)
Work Stress
2022年10月18日（査読あり）、Yuji Mizukami, Junji Nakano,"International comparison of cross-disciplinaryintegration in industry 4.0: A co-authorshipanalysis using academic literature databases", PLoS ONE Vol.17, No.10, 2022: e0275306. https://doi.org/10.1371/journal.pone.0275306
In response to the global spread of the new coronavirus from 2019, "remote working style" such as teleworking and telecommuting is rapidly spreading in the workplace to prevent infection. In the midst of these changes in the social structure, the government-led "work style reforms" are underway, and the "maintenance of employee mental health" in remote working styles has become a new human resource issue for companies, and many personnel and labor managers are required to respond to this issue. In order to respond to these social needs, our laboratory is researching a non-contact stress diagnosis method using video as a method of mental health check for employees in remote working style.
Translated with www.DeepL.com/Translator (free version)
2022年3月31日（査読あり）、Shotaro ITO, Yuji MIZUKAMI, "Service with a Smile: A Study on the Psychological Burden of Leisure Facility Employees Using Emotional Labor Theory",International Journal of Japan Academic Society of Hospitality Management, Vol.8, No.1, pp.51-58.
2022年3月31日（査読あり）、Chiaki MORITA, Kokoro SHIRAHAMA, Hisao ATARASHI, Yuji MIZUKAMI, "The Effect of Background Music on Relaxation and Work Efficiency: An Analysis Based on Survey Data from University Students",International Journal of Japan Academic Society of Hospitality Management, Vol.8, No.1, pp.59-66.
HR & Work Styles
Our laboratory is engaged in research and development of evaluation indices for personnel evaluation and performance evaluation based on statistical methods. This activity is mainly carried out in collaboration with the Institute of Statistical Mathematics.
Our laboratory is conducting research on "improvement of working style" and activities for corporate guidance.
2018年 1月25日（査読あり）、水上祐治、大湾秀雄、「ソフトウェア開発における早期すり合わせの効果と働き方改革への示唆」、経済研究、一橋大学、Vol. 69, No. 1, pp. 1-17 (2018) <English> Yuji Mizukami, Hideo Owan, “Impact of Early-Stage Coordination in Software Development and Its Implications for “Work Style Reform””, The economic review, Hitotsubashi University, Vol. 69, No. 1, pp. 1-17 (2018)
2017年 5月15日、(査読あり)、Yuji Mizukami, Yosuke Mizutani, Keisuke Honda, Shigenori Suzuki, Junji Nakano, An International Research Comparative Study of the Degree of Cooperation between disciplines within mathematics and mathematical sciences: proposal and application of new indices for identifying the specialized field of researchers, Springer, Behaviormetrika, Vol.44, issue 2, pp.385-403, 2017
AI-Lang.
In our laboratory, we are studying natural language processing using models such as artificial intelligence, topic models (LDA), and WORD2VEC.
For example, using WORD2VEC, words can be converted into vectors, and words with similar meanings and usage can be recognized as being close to each other in the vector space. As a result, words can be added or subtracted, and the interpretation of "king" - "man" + "woman" = "queen" becomes possible.
We are working on this project in collaboration with a former overseas researcher at the Massachusetts Institute of Technology Artificial Intelligence Laboratory.
Gen. Biz
Our laboratory provides training and lectures for companies.
- Intuitive Statistics: This course focuses on the basics of statistics necessary for business, using as few numbers as possible. (We have a lot of experience in teaching)
- CDGM Business Improvement: Guidance on business improvement activities through small group activities. (Many small and medium-sized companies have been taught.)
- How to analyze bibliographic data: We provide guidance on how to analyze bibliographic data using text mining.
- We accept requests for lectures on the theme of your request.
Our laboratory accepts commissioned research and joint research from general companies.
< Achievements in FY2020 >
- FOUND Corporation: Product planning
- ELSYS JAPAN Corporation: Performance verification, business model construction
High schools
Our laboratory accepts requests for trial classes from junior high and high schools. (We have a lot of teaching experience)
< Results for FY2020>
- 2020/12: SDGs, Artificial Intelligence, Globalization (Zoom remote class, 2 sessions)
- 2020/11: Globalization, Management Engineering (Face-to-face, 2 sessions)
- 2020/10: Globalization, Management Engineering (Zoom remote class, 2 sessions)
- 2020/8: Globalization, Management Engineering (Zoom remote class, 2 sessions)
