{"created":"2021-03-01T06:18:25.718152+00:00","id":1839,"links":{},"metadata":{"_buckets":{"deposit":"253032c0-5e36-491a-b174-ff84e20fdcdd"},"_deposit":{"id":"1839","owners":[],"pid":{"revision_id":0,"type":"depid","value":"1839"},"status":"published"},"_oai":{"id":"oai:repository.dl.itc.u-tokyo.ac.jp:00001839","sets":["34:105:262","9:233:234"]},"item_7_alternative_title_1":{"attribute_name":"その他のタイトル","attribute_value_mlt":[{"subitem_alternative_title":"Improvement of Statistic Language Model Using Boundary Information for Spontaneous Speech Recognition"}]},"item_7_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2009-03-23","bibliographicIssueDateType":"Issued"},"bibliographic_titles":[{}]}]},"item_7_date_granted_25":{"attribute_name":"学位授与年月日","attribute_value_mlt":[{"subitem_dategranted":"2009-03-23"}]},"item_7_degree_name_20":{"attribute_name":"学位名","attribute_value_mlt":[{"subitem_degreename":"修士(情報理工学)"}]},"item_7_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"フラックスゲート形電流センサに関する研究はこれまで数多く行われている。フラックス形電流センサは常温で高感度なセンサであり、数mA オーダーの測定が可能である。そこで産業機器のバッテリモニタリングシステムに幅広く用いられて、需要が高まっている。/本研究ではフラックスゲート形電流センサの駆動周波数に注目し、小電流測定だけでなく大電流測定も可能な測定原理を提案し、実装に向けて原理の検証を進めた。透磁率の変化によって磁気回路法に基づき状態空間法を用いた解析、コアの温度特性を測る実験から、コアと電気回路の特性がセンサ駆動周波数に影響することを確認した。そこで回路シミュレータによる解析を行い、コアの特性が大きく影響することを確認した。そこで磁気非線形を持つコアの傾斜データを簡易的な実験から、コアの特性がセンサ駆動周波数に与える影響について検討し、コアの特性限界を示す結果を得た。","subitem_description_type":"Abstract"},{"subitem_description":"Today, there are many researches about fluxgate current sensor. The sensor is the most sensitive and reliable sensor among current sensors used in room temperature. This sensor can measure a few milliampere DC current. It is therefore applied in various measurements, in particular battery monitoring system. It is used for small current measurement. In this paper the author carries out driving sensor frequency measurement method due to measure large DC current, and of it due to measure large current. The author examines this method by using magnetic circuit analysis, measurement effect of fluxgate current sensor and , generic circuit simulator(LTspice) and obtain magnetic nonlinearity data by experiment. From these research the author confirm that core’s characteristic and electric circuit characteristic affect sensor driving frequency and at last validate availability of this method and therefore the author conclude the limit of core characteristic","subitem_description_type":"Abstract"}]},"item_7_full_name_3":{"attribute_name":"著者別名","attribute_value_mlt":[{"nameIdentifiers":[{"nameIdentifier":"5656","nameIdentifierScheme":"WEKO"}],"names":[{"name":"Hosoda, Kiyoto"}]}]},"item_7_select_21":{"attribute_name":"学位","attribute_value_mlt":[{"subitem_select_item":"master"}]},"item_7_subject_13":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"548","subitem_subject_scheme":"NDC"}]},"item_7_text_24":{"attribute_name":"研究科・専攻","attribute_value_mlt":[{"subitem_text_value":"情報理工学系研究科電子情報学専攻"}]},"item_7_text_4":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"情報理工学系研究科 電子情報学専攻"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"細田, 聖人"}],"nameIdentifiers":[{"nameIdentifier":"5655","nameIdentifierScheme":"WEKO"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2017-05-31"}],"displaytype":"detail","filename":"hosoda.pdf","filesize":[{"value":"383.0 kB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"hosoda.pdf","url":"https://repository.dl.itc.u-tokyo.ac.jp/record/1839/files/hosoda.pdf"},"version_id":"9736f793-63c3-4300-b941-dea929af0c47"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"話し言葉音声認識における文節境界情報を用いた言語モデルの高度化","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"話し言葉音声認識における文節境界情報を用いた言語モデルの高度化"}]},"item_type_id":"7","owner":"1","path":["234","262"],"pubdate":{"attribute_name":"公開日","attribute_value":"2011-08-08"},"publish_date":"2011-08-08","publish_status":"0","recid":"1839","relation_version_is_last":true,"title":["話し言葉音声認識における文節境界情報を用いた言語モデルの高度化"],"weko_creator_id":"1","weko_shared_id":null},"updated":"2022-12-19T03:43:20.774008+00:00"}