Toru Kobayashi, Yuta Isono, Kenichi Arai, T. Yamauchi, Hidetoshi Kobayashi
{"title":"Bio-TRIZ database for sustainable lifestyle technology transfer from nature to engineering","authors":"Toru Kobayashi, Yuta Isono, Kenichi Arai, T. Yamauchi, Hidetoshi Kobayashi","doi":"10.1109/KCIC.2017.8228599","DOIUrl":null,"url":null,"abstract":"The biomimetics to adopt a high-performance and high efficiency creature function for a new technology attracts attention. However, it is unknown which creature function helps the development of a new technology because the kinds of the creature are more than 1,500,000. Therefore, we propose an information retrieval system called Bio-TRIZ database by using TRIZ which attracts attention as a problem solution of the engineering. The Bio-TRIZ database is based on the Linked Data which contains not only engineering perspective data but also naturalist perspective data. Therefore, we can search the creature function by different approaches. We can expect technology transfer from nature to engineering to realize a sustainable lifestyle as spiritually rich society which does not depend on energy consumption by using the proposed system. We evaluated the proposed system through plural case studies. Then, we confirmed that our proposed system was effective at a viewpoint of the serendipity information retrieval for realizing sustainable lifestyle.","PeriodicalId":117148,"journal":{"name":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","volume":"277 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Electronics Symposium on Knowledge Creation and Intelligent Computing (IES-KCIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/KCIC.2017.8228599","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The biomimetics to adopt a high-performance and high efficiency creature function for a new technology attracts attention. However, it is unknown which creature function helps the development of a new technology because the kinds of the creature are more than 1,500,000. Therefore, we propose an information retrieval system called Bio-TRIZ database by using TRIZ which attracts attention as a problem solution of the engineering. The Bio-TRIZ database is based on the Linked Data which contains not only engineering perspective data but also naturalist perspective data. Therefore, we can search the creature function by different approaches. We can expect technology transfer from nature to engineering to realize a sustainable lifestyle as spiritually rich society which does not depend on energy consumption by using the proposed system. We evaluated the proposed system through plural case studies. Then, we confirmed that our proposed system was effective at a viewpoint of the serendipity information retrieval for realizing sustainable lifestyle.