{"_buckets": {"deposit": "998ac477-cfdb-4683-a197-86118ff3db9b"}, "_deposit": {"created_by": 15, "id": "2000234", "owner": "15", "owners": [15], "owners_ext": {"displayname": "\u5317\u898b\u5de5\u696d\u5927\u5b66\u5b66\u8853\u6a5f\u95a2\u30ea\u30dd\u30b8\u30c8\u30ea\uff08KIT-R\uff09", "username": "kitir"}, "pid": {"revision_id": 0, "type": "depid", "value": "2000234"}, "status": "published"}, "_oai": {"id": "oai:kitami-it.repo.nii.ac.jp:02000234", "sets": ["1:87"]}, "author_link": [], "control_number": "2000234", "item_1646810750418": {"attribute_name": "\u51fa\u7248\u30bf\u30a4\u30d7", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_3_biblio_info_186": {"attribute_name": "\u66f8\u8a8c\u60c5\u5831", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2020-02", "bibliographicIssueDateType": "Issued"}, "bibliographicIssueNumber": "1", "bibliographicPageStart": "11", "bibliographicVolumeNumber": "4", "bibliographic_titles": [{"bibliographic_title": "Journal of Manufacturing and Materials Processing", "bibliographic_titleLang": "en"}]}]}, "item_3_description_184": {"attribute_name": "\u6284\u9332", "attribute_value_mlt": [{"subitem_description": "Industry 4.0 requires phenomenon twins to functionalize the relevant systems (e.g.,\ncyber-physical systems). A phenomenon twin means a computable virtual abstraction of a real\nphenomenon. In order to systematize the construction process of a phenomenon twin, this study\nproposes a system defined as the phenomenon twin construction system. It consists of three\ncomponents, namely the input, processing, and output components. Among these components,\nthe processing component is the most critical one that digitally models, simulates, and validates a given\nphenomenon extracting information from the input component. What kind of modeling, simulation,\nand validation approaches should be used while constructing the processing component for a given\nphenomenon is a research question. This study answers this question using the case of surface\nroughness\u2014a complex phenomenon associated with all material removal processes. Accordingly,\nthis study shows that for modeling the surface roughness of a machined surface, the approach called\nsemantic modeling is more eective than the conventional approach called the Markov chain. It is\nalso found that to validate whether or not a simulated surface roughness resembles the expected\nroughness, the outcomes of the possibility distribution-based computing and DNA-based computing\nare more eective than the outcomes of a conventional computing wherein the arithmetic mean\nheight of surface roughness is calculated. Thus, apart from the conventional computing approaches,\nthe leading edge computational intelligence-based approaches can digitize manufacturing processes\nmore eectively", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_3_full_name_242": {"attribute_name": "\u8457\u8005\uff08\u82f1\uff09", "attribute_value_mlt": [{"names": [{"name": "Angkush Kumar Ghosh", "nameLang": "en"}, {"name": "AMM Sharif Ullah", "nameLang": "en"}, {"name": "Akihiko Kubo", "nameLang": "en"}, {"name": "Takeshi Akamatsu", "nameLang": "en"}, {"name": "Doriana Marilena D\u2019Addona", "nameLang": "en"}]}]}, "item_3_publisher_212": {"attribute_name": "\u51fa\u7248\u8005", "attribute_value_mlt": [{"subitem_publisher": "MDPI", "subitem_publisher_language": "en"}]}, "item_3_relation_191": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.3390/jmmp4010011", "subitem_relation_type_select": "DOI"}}]}, "item_3_rights_192": {"attribute_name": "\u6a29\u5229", "attribute_value_mlt": [{"subitem_rights": "\u00a9 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license", "subitem_rights_language": "en", "subitem_rights_resource": "http://creativecommons.org/licenses/by/4.0/"}]}, "item_3_select_195": {"attribute_name": "\u8457\u8005\u7248\u30d5\u30e9\u30b0", "attribute_value_mlt": [{"subitem_select_item": "publisher", "subitem_select_language": "en"}]}, "item_3_source_id_187": {"attribute_name": "ISSN", "attribute_value_mlt": [{"subitem_source_identifier": "2504-4494", "subitem_source_identifier_type": "EISSN"}]}, "item_access_right": {"attribute_name": "\u30a2\u30af\u30bb\u30b9\u6a29", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_files": {"attribute_name": "\u30d5\u30a1\u30a4\u30eb\u60c5\u5831", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2022-05-25"}], "download_preview_message": "", "file_order": 0, "filename": "jmmp-04-00011-v2.pdf", "filesize": [{"value": "1.2 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_0", "mimetype": "application/pdf", "size": 1200000.0, "url": {"url": "https://kitami-it.repo.nii.ac.jp/record/2000234/files/jmmp-04-00011-v2.pdf"}, "version_id": "99660621-937a-4e21-9ccd-b0b3369a47db"}]}, "item_keyword": {"attribute_name": "\u30ad\u30fc\u30ef\u30fc\u30c9", "attribute_value_mlt": [{"subitem_subject": "Industry 4.0", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "cyber-physical systems", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "digital twin", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "surface roughness", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "complex phenomenon", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "semantic modeling", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Monte Carlo simulation", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "DNA-based computing", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}, {"subitem_subject": "Markov chain", "subitem_subject_language": "en", "subitem_subject_scheme": "Other"}]}, "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": "Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness", "item_titles": {"attribute_name": "\u30bf\u30a4\u30c8\u30eb", "attribute_value_mlt": [{"subitem_title": "Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness", "subitem_title_language": "en"}]}, "item_type_id": "3", "owner": "15", "path": ["1/87"], "permalink_uri": "https://kitami-it.repo.nii.ac.jp/records/2000234", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2022-05-25"}, "publish_date": "2022-05-25", "publish_status": "0", "recid": "2000234", "relation": {}, "relation_version_is_last": true, "title": ["Machining Phenomenon Twin Construction for Industry 4.0: A Case of Surface Roughness"], "weko_shared_id": 3}