{"id":"https://openalex.org/W2022417317","doi":"https://doi.org/10.1109/ramech.2008.4681497","title":"Feasibility Study on An Automated Intruder Detection for Tropical Fish Farm","display_name":"Feasibility Study on An Automated Intruder Detection for Tropical Fish Farm","publication_year":2008,"publication_date":"2008-09-01","ids":{"openalex":"https://openalex.org/W2022417317","doi":"https://doi.org/10.1109/ramech.2008.4681497","mag":"2022417317"},"language":"en","primary_location":{"id":"doi:10.1109/ramech.2008.4681497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2008.4681497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","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/A5111677941","display_name":"ChingSeong Tan","orcid":null},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":true,"raw_author_name":"ChingSeong Tan","raw_affiliation_strings":["Faculty of Engineering and Science, University of Tunku Abdul Rahman, Kuala Lumpur, Malaysia","Fac. of Eng. & Sci., Univ. of Tunku Abdul Rahman (UTAR), Kuala Lumpur"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering and Science, University of Tunku Abdul Rahman, Kuala Lumpur, Malaysia","institution_ids":[]},{"raw_affiliation_string":"Fac. of Eng. & Sci., Univ. of Tunku Abdul Rahman (UTAR), Kuala Lumpur","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065809783","display_name":"Aryuanto Soetedjo","orcid":"https://orcid.org/0000-0001-6582-3698"},"institutions":[{"id":"https://openalex.org/I173029219","display_name":"Multimedia University","ror":"https://ror.org/04zrbnc33","country_code":"MY","type":"education","lineage":["https://openalex.org/I173029219"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Aryuanto Soetedjo","raw_affiliation_strings":["Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia","Fac. of Eng., Multimedia Univ., Cyberjaya#TAB#"],"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, Multimedia University, Cyberjaya, Malaysia","institution_ids":["https://openalex.org/I173029219"]},{"raw_affiliation_string":"Fac. of Eng., Multimedia Univ., Cyberjaya#TAB#","institution_ids":["https://openalex.org/I173029219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5111677941"],"corresponding_institution_ids":["https://openalex.org/I931681460"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12715413,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2","issue":null,"first_page":"1018","last_page":"1021"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12697","display_name":"Water Quality Monitoring Technologies","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5919708609580994},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.549261212348938},{"id":"https://openalex.org/keywords/fish-actinopterygii","display_name":"Fish <Actinopterygii>","score":0.46686649322509766},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4270564913749695},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.42495235800743103},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.40277907252311707},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4000219702720642},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3912096619606018},{"id":"https://openalex.org/keywords/fishery","display_name":"Fishery","score":0.25331640243530273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18658336997032166},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.1465345025062561},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08104583621025085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5919708609580994},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.549261212348938},{"id":"https://openalex.org/C2909208804","wikidata":"https://www.wikidata.org/wiki/Q127282","display_name":"Fish <Actinopterygii>","level":2,"score":0.46686649322509766},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4270564913749695},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.42495235800743103},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.40277907252311707},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4000219702720642},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3912096619606018},{"id":"https://openalex.org/C505870484","wikidata":"https://www.wikidata.org/wiki/Q180538","display_name":"Fishery","level":1,"score":0.25331640243530273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18658336997032166},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.1465345025062561},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08104583621025085},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ramech.2008.4681497","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ramech.2008.4681497","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Robotics, Automation and Mechatronics","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/14","display_name":"Life below water","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1536467636","https://openalex.org/W1600332379","https://openalex.org/W2010126634","https://openalex.org/W2084325257","https://openalex.org/W2089547537","https://openalex.org/W2118964804","https://openalex.org/W2548504335","https://openalex.org/W6636122666"],"related_works":["https://openalex.org/W2912321008","https://openalex.org/W1998607122","https://openalex.org/W2324368075","https://openalex.org/W2972124131","https://openalex.org/W338149487","https://openalex.org/W4403012196","https://openalex.org/W2972032537","https://openalex.org/W150363521","https://openalex.org/W3154107650","https://openalex.org/W2613671004"],"abstract_inverted_index":{"In":[0,36,95],"this":[1,171],"paper,":[2],"an":[3,44,56],"automated":[4],"intruder":[5],"detection":[6],"system":[7,83,103,166],"for":[8,112],"sea":[9,72],"cage":[10,73],"fish":[11,29,79,124],"farm":[12],"is":[13,18,62,104,117],"introduced.":[14],"Optical":[15],"imaging":[16],"method":[17],"used":[19,105,156],"to":[20,38,64,106,118,139,173],"detect":[21],"possible":[22,66],"predator":[23],"or":[24,32],"theft":[25],"invasion":[26,45],"in":[27,33,157,177],"the":[28,34,41,53,71,88,92,96,109,123,158,175],"net":[30,74,89],"area":[31,75],"vicinity.":[35],"order":[37],"accurately":[39],"alert":[40],"operator":[42],"on":[43],"event":[46],"from":[47,126,152],"tens":[48],"of":[49,76,91,146],"camera":[50,82,102],"installed":[51,86,169],"around":[52],"feeding":[54,93],"nets,":[55],"high":[57,137],"speed":[58],"rule":[59,132],"based":[60,133],"algorithm":[61,134,172],"tested":[63],"identify":[65,119,174],"intruders":[67],"that":[68,135,163],"trespass":[69],"into":[70],"a":[77,99],"local":[78],"farm.":[80],"A":[81],"will":[84],"be":[85,168],"below":[87],"level":[90],"area.":[94],"early":[97],"stage,":[98],"recorded":[100],"mode":[101],"record":[107],"down":[108,128],"images":[110,151],"captured":[111],"analysis":[113],"purpose.":[114],"The":[115,160],"objective":[116],"predator,":[120],"non-fish":[121],"and":[122,144],"categories":[125],"looking":[127],"position.":[129],"We":[130],"employ":[131],"show":[136,162],"tolerances":[138],"in-plane":[140],"rotation,":[141],"scale":[142],"variation":[143],"out":[145],"plane":[147],"rotation.":[148],"Various":[149],"testing":[150],"different":[153],"scenarios":[154],"are":[155],"experiment.":[159],"results":[161],"low":[164],"cost":[165],"can":[167],"using":[170],"targets":[176],"least":[178],"image":[179],"processing":[180],"resources.":[181]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
