{"created":"2023-05-15T11:55:43.584127+00:00","id":761,"links":{},"metadata":{"_buckets":{"deposit":"a46b0854-bb68-4b1b-b3c1-6a40d2207f19"},"_deposit":{"created_by":3,"id":"761","owners":[3],"pid":{"revision_id":0,"type":"depid","value":"761"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00000761","sets":["8:24"]},"author_link":["3449","673","679","3452"],"control_number":"761","item_21_alternative_title_18":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Leak Detection in Pipe Genetic Algorithm and Inverse Transient Method:(2nd Report, Leaks at Two 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pipeline.Furthermore,the effect of noise in pressure data was discussed,and the leak locations and leak discharges can be predicted precisely even in the case of noisy data.","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"3452","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Kim, 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