• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Development of a software system for visualizing potential risks in business establishments using integrated network graph method

Research Project

Project/Area Number 16K16367
Research Category

Grant-in-Aid for Young Scientists (B)

Allocation TypeMulti-year Fund
Research Field Social systems engineering/Safety system
Research InstitutionOkayama Shoka University

Principal Investigator

MINOWA Hirotsugu  岡山商科大学, 経営学部, 准教授 (50464300)

Project Period (FY) 2016-04-01 – 2020-03-31
Project Status Completed (Fiscal Year 2019)
Budget Amount *help
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2018: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
KeywordsVisualization / Network graph / Network Analysis / Text Mining / Risk Assesment / Network Graph / Risk Analysis / テキストマイニング / リスクアセスメント / 可視化 / 事例解析 / 事象進展 / Risk Assessment / Hazard Analysis / Hazard analysis / 自然言語処理 / 事象の進展 / 進展の統合化 / 事故事例 / ヒヤリハット / リスクマネジメント
Outline of Final Research Achievements

In order to prevent the recurrence of accidents, each business site has collected and analyzed case data on accidents and near-misses, and has attempted to prevent recurrence of accidents. However, similar accidents have recurred, and it is hard to say that the analysis is sufficient. The problem is that people mainly analyze a large amount of case data.
The purpose of this study is to realize a countermeasure support system that can realize a cycle of risk assessment and risk removal by computer so that even if an expert is absent, maintenance can be performed with low burden.
The visualization software of the analysis method of the progress of the proposed case is implemented. In addition, by applying this method, we proposed a traveling support system based on intelligence.

Academic Significance and Societal Importance of the Research Achievements

テキストマイニングにおいて主力となるのが、可視化技術である。主な可視化手法が図式化であるが、事象の流れや進展の可視化は十分とは言い難い。しかし、人の情報処理能力では、多量のデータを把握する事は難しく、データを理解し、利用へすすめるためにも可視化技術は欠かせない。
本研究は、その可視化技術の一つとして、事例データから事象の進展の可視化するソフトウェア技術の開発を進めた。

Report

(5 results)
  • 2019 Annual Research Report   Final Research Report ( PDF )
  • 2018 Research-status Report
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (4 results)

All 2019 2017

All Presentation (4 results)

  • [Presentation] 事例データに基づく包括的な巡回支援システムの研究2019

    • Author(s)
      箕輪弘嗣 横井優樹
    • Organizer
      電子情報通信学会総合大会2020
    • Related Report
      2019 Annual Research Report
  • [Presentation] タッチパネル式バルブ UI における疑似触覚呈示法の試作と評価2019

    • Author(s)
      箕輪弘嗣 張楚歌
    • Organizer
      電子情報通信学会総合大会2020
    • Related Report
      2019 Annual Research Report
  • [Presentation] 電算機を用いた統計的解析に基づく複数事例の進展の可視化の実現2017

    • Author(s)
      箕輪弘嗣
    • Organizer
      化学工学会 第49秋季大会
    • Related Report
      2017 Research-status Report
  • [Presentation] 共通要因としての単語に注目した事象の進展の統合化・可視化2017

    • Author(s)
      箕輪弘嗣
    • Organizer
      FIT2017(第 16 回情報科学技術フォーラム)
    • Related Report
      2017 Research-status Report

URL: 

Published: 2016-04-21   Modified: 2021-02-19  

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi