2019 Fiscal Year Final Research Report
Development of a software system for visualizing potential risks in business establishments using integrated network graph method
| Project/Area Number |
16K16367
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Multi-year Fund |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Okayama Shoka University |
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Principal Investigator |
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| Project Period (FY) |
2016-04-01 – 2020-03-31
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| Keywords | Visualization / Network graph / Network Analysis / Text Mining / Risk Assesment |
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| 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.
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| Free Research Field |
情報処理
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| 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。
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