{"id":"https://openalex.org/W2146853328","doi":"https://doi.org/10.1109/isce.2013.6570137","title":"Enhancing performance of traffic safety guardian system on Android by task skipping mechanism","display_name":"Enhancing performance of traffic safety guardian system on Android by task skipping mechanism","publication_year":2013,"publication_date":"2013-06-01","ids":{"openalex":"https://openalex.org/W2146853328","doi":"https://doi.org/10.1109/isce.2013.6570137","mag":"2146853328"},"language":"en","primary_location":{"id":"doi:10.1109/isce.2013.6570137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isce.2013.6570137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103266265","display_name":"Kuei\u2010Chung Chang","orcid":"https://orcid.org/0000-0003-4145-1927"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuei-Chung Chang","raw_affiliation_strings":["Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5076122424","display_name":"Kuan-Hsiung Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuan-Hsiung Wang","raw_affiliation_strings":["Feng Chia University, Taichung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Feng Chia University, Taichung, Taiwan","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.17040212,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"115","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.7782238125801086},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7627041339874268},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.49676066637039185},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4815393090248108},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.4544740617275238},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.42991337180137634},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3234786093235016},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21402764320373535}],"concepts":[{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.7782238125801086},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7627041339874268},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.49676066637039185},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4815393090248108},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.4544740617275238},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.42991337180137634},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3234786093235016},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21402764320373535}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isce.2013.6570137","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isce.2013.6570137","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 IEEE International Symposium on Consumer Electronics (ISCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1987310231","https://openalex.org/W2055629507","https://openalex.org/W2116718904","https://openalex.org/W2160983835","https://openalex.org/W2171385191"],"related_works":["https://openalex.org/W3034529322","https://openalex.org/W2113597336","https://openalex.org/W2155505549","https://openalex.org/W1991580985","https://openalex.org/W2115913271","https://openalex.org/W2357479218","https://openalex.org/W1819546284","https://openalex.org/W2165251242","https://openalex.org/W2043253324","https://openalex.org/W2018648706"],"abstract_inverted_index":{"The":[0,36,92],"Traffic":[1],"Safety":[2],"Guardian":[3],"system":[4,10,41],"is":[5,42],"a":[6],"real-time":[7],"object":[8],"recognition":[9],"based":[11],"on":[12],"Android":[13],"mobile":[14],"devices":[15],"to":[16,28,49,52,57,68,79,105],"assist":[17],"car":[18],"drivers":[19,31],"for":[20,60],"safety":[21],"driving.":[22],"It":[23],"can":[24,100],"analyze":[25],"driving":[26,64],"conditions":[27],"remind":[29],"the":[30,40,45,63,70,73,81,88,97,102],"with":[32],"related":[33],"warning":[34],"notices.":[35],"computing":[37,82],"overhead":[38,83],"of":[39,62,72],"large":[43],"because":[44],"captured":[46],"frames":[47],"have":[48],"be":[50],"processed":[51],"recognize":[53],"interested":[54],"objects":[55],"and":[56],"track":[58],"them":[59],"analysis":[61],"status.":[65],"In":[66],"order":[67],"enhance":[69,101],"performance":[71,103],"TSG,":[74],"we":[75],"skip":[76],"some":[77],"tasks":[78],"reduce":[80],"as":[84,86],"well":[85],"keep":[87],"tracking":[89],"results":[90,94],"correct.":[91],"experimental":[93],"show":[95],"that":[96],"proposed":[98],"approach":[99],"approximated":[104],"32%.":[106]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}