{"created":"2024-04-17T04:54:46.611716+00:00","id":2000519,"links":{},"metadata":{"_buckets":{"deposit":"6d4ebc9a-ba12-49c1-ac7b-a582631d668f"},"_deposit":{"created_by":14,"id":"2000519","owner":"14","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"2000519"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:02000519","sets":["8:24"]},"author_link":["25154","899","25999","19491"],"control_number":"2000519","item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2023-11-29","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{"bibliographic_title":"IEICE Proceeding Series","bibliographic_titleLang":"en"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"IoT-based acoustic data collection systems have been proposed for detecting anomalies in mecanical equipments. However, traditional system using audible sound does not work well due to interference caused by various sound sources (e.g., wildlife sounds and traffic noise). We have proposed an ultrasonic data collection system for anomaly detection. However, since the large volume of ultrasonic data is a problem, this paper proposes a method for extracting only the necessary frequency bandwidth that can reduce its data amount.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_description_5":{"attribute_name":"備考","attribute_value_mlt":[{"subitem_description":"2023 International Conference on Emerging Technologies for Communications, November 29 - December 1, 2023, Sapporo, 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