Index Link

  • RootNode
    • Co-operative College, Mandalay
    • Cooperative College, Phaunggyi
    • Co-operative University, Sagaing
    • Co-operative University, Thanlyin
    • Dagon University
    • Kyaukse University
    • Laquarware Technological college
    • Mandalay Technological University
    • Mandalay University of Distance Education
    • Mandalay University of Foreign Languages
    • Maubin University
    • Mawlamyine University
    • Meiktila University
    • Mohnyin University
    • Myanmar Institute of Information Technology
    • Myanmar Maritime University
    • National Management Degree College
    • Naypyitaw State Academy
    • Pathein University
    • Sagaing University
    • Sagaing University of Education
    • Taunggyi University
    • Technological University, Hmawbi
    • Technological University (Kyaukse)
    • Technological University Mandalay
    • University of Computer Studies, Mandalay
    • University of Computer Studies Maubin
    • University of Computer Studies, Meikhtila
    • University of Computer Studies Pathein
    • University of Computer Studies, Taungoo
    • University of Computer Studies, Yangon
    • University of Dental Medicine Mandalay
    • University of Dental Medicine, Yangon
    • University of Information Technology
    • University of Mandalay
    • University of Medicine 1
    • University of Medicine 2
    • University of Medicine Mandalay
    • University of Myitkyina
    • University of Public Health, Yangon
    • University of Veterinary Science
    • University of Yangon
    • West Yangon University
    • Yadanabon University
    • Yangon Technological University
    • Yangon University of Distance Education
    • Yangon University of Economics
    • Yangon University of Education
    • Yangon University of Foreign Languages
    • Yezin Agricultural University
    • New Index

Item

{"_buckets": {"deposit": "c0753036-63ba-49f6-b75e-4dfd3c4e486d"}, "_deposit": {"id": "4524", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4524"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4524", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "A Comparative Study Using Two Classifiers For Hazardous Audio Event Classification", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The hazardous acoustic event classificationsystem is presented and tested in threateningenvironments. The system is based on classifiedwith Support Vector Machine (SVM), k NearestNeighbor (kNN) and modeled with GeneticRegulatory Network (GRN). GRN is adopted asclassification framework and greatly reducedinput feature dimensions. Setting the results thathave already reduced the inputs dimensions fromGRN framework as inputs for SVM and kNN cancorrectly classify audio event with lowcomputational time and cost. Comparative andclassification tests are carried out using threekinds of input sets with SVM and kNN classifier.These input sets are original feature set, reduceddimension feature set by GRN and unique featureset. SVM applies as novel discriminativeapproach for dissimilarity measure in order toaddress a supervised sound-classification taskand then shows good performance in the task ofacoustic event classification. Selecting GRN inevent classification system can not only reducescost and effort but also aims to obtain highperformance and accuracy in varying nature ofenvironments."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Acoustic Surveillance"}, {"interim": "Audio Features"}, {"interim": "Audio events"}, {"interim": "Classification tasks"}, {"interim": "k Nearest neighbor"}, {"interim": "Genetic Regulatory Network"}, {"interim": "Support Vector Machine"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-11-15"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10105.pdf", "filesize": [{"value": "247 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 247000.0, "url": {"url": "https://meral.edu.mm/record/4524/files/10105.pdf"}, "version_id": "901eb6e9-53c0-4ad4-9197-6353994752d3"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Kyaw, Tin Ei"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2449"}, "item_title": "A Comparative Study Using Two Classifiers For Hazardous Audio Event Classification", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004524", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-15"}, "publish_date": "2019-11-15", "publish_status": "0", "recid": "4524", "relation": {}, "relation_version_is_last": true, "title": ["A Comparative Study Using Two Classifiers For Hazardous Audio Event Classification"], "weko_shared_id": -1}

A Comparative Study Using Two Classifiers For Hazardous Audio Event Classification

http://hdl.handle.net/20.500.12678/0000004524
407e2f6e-93c2-4e3e-8598-26859a42f3ac
c0753036-63ba-49f6-b75e-4dfd3c4e486d
None
Name / File License Actions
10105.pdf 10105.pdf (247 Kb)
Publication type
Article
Upload type
Publication
Title
Title A Comparative Study Using Two Classifiers For Hazardous Audio Event Classification
Language en_US
Publication date 2012-02-28
Authors
Kyaw, Tin Ei
Description
The hazardous acoustic event classificationsystem is presented and tested in threateningenvironments. The system is based on classifiedwith Support Vector Machine (SVM), k NearestNeighbor (kNN) and modeled with GeneticRegulatory Network (GRN). GRN is adopted asclassification framework and greatly reducedinput feature dimensions. Setting the results thathave already reduced the inputs dimensions fromGRN framework as inputs for SVM and kNN cancorrectly classify audio event with lowcomputational time and cost. Comparative andclassification tests are carried out using threekinds of input sets with SVM and kNN classifier.These input sets are original feature set, reduceddimension feature set by GRN and unique featureset. SVM applies as novel discriminativeapproach for dissimilarity measure in order toaddress a supervised sound-classification taskand then shows good performance in the task ofacoustic event classification. Selecting GRN inevent classification system can not only reducescost and effort but also aims to obtain highperformance and accuracy in varying nature ofenvironments.
Keywords
Acoustic Surveillance, Audio Features, Audio events, Classification tasks, k Nearest neighbor, Genetic Regulatory Network, Support Vector Machine
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/2449
Journal articles
Tenth International Conference On Computer Applications (ICCA 2012)
Conference papers
Books/reports/chapters
Thesis/dissertations
0
0
views
downloads
Views Downloads

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats