{"_buckets": {"deposit": "fd7156fe-082c-4008-9f16-ca981949d202"}, "_deposit": {"id": "7789", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "7789"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00007789"}, "item_10_biblio_info_6": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2007", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "423", "bibliographicPageStart": "418", "bibliographic_titles": [{"bibliographic_title": "International Symposium on Micro-NanoMechatronics and Human Science"}]}]}, "item_10_description_4": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "We experimentally design a parallel typed two-axial micro actuator, which is utilized for the key part of the tactile display. The parallel typed two-axial actuator was composed of two bimorph piezoelectric elements and two small links connected by three joints. We formulated kinematics for the pararell typed two-axial actuator because the endpoint is controlled in the two-dimensional coordinate. Since relationship between applied voltage and displacement cause by the voltage shows a hysteresis loop in the bimorph piezoelectric element used as components of the two-axial actuator, we produce a control system for the two-axial actuator based on a multi-layered artificial neural network to compensate the hysteresis. The neural network is comprised of 4 neurons in the input layer, 10 neurons in the hidden layer and ones neuron in the output layer. The output neuron emits time derivative of voltage; two bits signal expressing increment or decrement condition is genarated by two input neurons; one of the other two input neurons and the other calculate current values of voltage and displacement, respectively. The neural network is featured with a feedback loop including an intergral element to reduce number of neurons. In the learning process, the network learns the hysteresis including a minor loop. In the verification test, the endpoint of the two-axial actuator traces the desired circular trajectory in the two-dimensional coordinate system.", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/9510"}]}, "item_10_publisher_32": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "IEEE"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "http://dx.doi.org/10.1109/MHS.2007.4420892", "subitem_relation_type_select": "DOI"}}]}, "item_10_relation_8": {"attribute_name": "ISBN", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "978-1-4244-1858-9", "subitem_relation_type_select": "ISBN"}}]}, "item_10_rights_12": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "Copyright \u00a9 2007 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University\u2019s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org."}]}, "item_10_select_15": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_text_14": {"attribute_name": "\u30d5\u30a9\u30fc\u30de\u30c3\u30c8", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_creator": {"attribute_name": "\u8457\u8005", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Ohka, Masahiro"}], "nameIdentifiers": [{"nameIdentifier": "22103", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Sawamoto, Yasuhiro"}], "nameIdentifiers": [{"nameIdentifier": "22104", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Matsukawa, Shiho"}], "nameIdentifiers": [{"nameIdentifier": "22105", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Miyaoka, Tetsu"}], "nameIdentifiers": [{"nameIdentifier": "22106", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Mitsuya, Yasunaga"}], "nameIdentifiers": [{"nameIdentifier": "22107", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "ohka_5.pdf", "filesize": [{"value": "535.2 kB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 535200.0, "url": {"label": "ohka_5.pdf", "url": "https://nagoya.repo.nii.ac.jp/record/7789/files/ohka_5.pdf"}, "version_id": "e521caec-6565-4930-8212-210ec45f3382"}]}, "item_language": {"attribute_name": "\u8a00\u8a9e", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "\u8cc7\u6e90\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Parallel Type Two-axial Actuator Controlled by a Multi-layered Neural Network", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Parallel Type Two-axial Actuator Controlled by a Multi-layered Neural Network"}]}, "item_type_id": "10", "owner": "1", "path": ["312/313/314"], "permalink_uri": "http://hdl.handle.net/2237/9510", "pubdate": {"attribute_name": "\u516c\u958b\u65e5", "attribute_value": "2008-02-28"}, "publish_date": "2008-02-28", "publish_status": "0", "recid": "7789", "relation": {}, "relation_version_is_last": true, "title": ["Parallel Type Two-axial Actuator Controlled by a Multi-layered Neural Network"], "weko_shared_id": 3}