{"id":"https://openalex.org/W2048246432","doi":"https://doi.org/10.4018/ijncr.2015010103","title":"Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO","display_name":"Detecting Central Region in Weld Beads of DWDI Radiographic Images Using PSO","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2048246432","doi":"https://doi.org/10.4018/ijncr.2015010103","mag":"2048246432"},"language":"en","primary_location":{"id":"doi:10.4018/ijncr.2015010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijncr.2015010103","pdf_url":null,"source":{"id":"https://openalex.org/S1001844925","display_name":"International Journal of Natural Computing Research","issn_l":"1947-928X","issn":["1947-928X","1947-9298"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Natural Computing Research","raw_type":"journal-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/A5018602905","display_name":"Fernando Moreira Suyama","orcid":"https://orcid.org/0000-0003-4911-4095"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Fernando M. Suyama","raw_affiliation_strings":["Federal University of Technology, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010588511","display_name":"Andriy Guilherme Krefer","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andriy G. Krefer","raw_affiliation_strings":["Federal University of Technology, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026235349","display_name":"Alex R. Faria","orcid":null},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Alex R. Faria","raw_affiliation_strings":["Federal University of Technology, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003159638","display_name":"T\u00e2nia Mezzadri Centeno","orcid":"https://orcid.org/0000-0002-6521-2042"},"institutions":[{"id":"https://openalex.org/I1283613182","display_name":"Universidade Tecnol\u00f3gica Federal do Paran\u00e1","ror":"https://ror.org/002v2kq79","country_code":"BR","type":"education","lineage":["https://openalex.org/I1283613182"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Tania M. Centeno","raw_affiliation_strings":["Federal University of Technology, Paran\u00e1, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Technology, Paran\u00e1, Brazil","institution_ids":["https://openalex.org/I1283613182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I1283613182"],"apc_list":null,"apc_paid":null,"fwci":0.551,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.7426278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"5","issue":"1","first_page":"42","last_page":"56"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12549","display_name":"Image and Object Detection Techniques","score":0.9959999918937683,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9959999918937683,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9898999929428101,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10892","display_name":"Drilling and Well Engineering","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/ellipse","display_name":"Ellipse","score":0.7559548616409302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336456775665283},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7247224450111389},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5572505593299866},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5033358931541443},{"id":"https://openalex.org/keywords/welding","display_name":"Welding","score":0.47048571705818176},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4184889495372772},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.27148497104644775},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13906890153884888},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.12491917610168457},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.07308384776115417}],"concepts":[{"id":"https://openalex.org/C74261601","wikidata":"https://www.wikidata.org/wiki/Q40112","display_name":"Ellipse","level":2,"score":0.7559548616409302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336456775665283},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7247224450111389},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5572505593299866},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5033358931541443},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.47048571705818176},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4184889495372772},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.27148497104644775},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13906890153884888},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.12491917610168457},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.07308384776115417},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijncr.2015010103","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijncr.2015010103","pdf_url":null,"source":{"id":"https://openalex.org/S1001844925","display_name":"International Journal of Natural Computing Research","issn_l":"1947-928X","issn":["1947-928X","1947-9298"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Natural Computing Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jncr00:v:5:y:2015:i:1:p:42-56","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijncr.2015010103","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1966461536","https://openalex.org/W1974910267","https://openalex.org/W1976554299","https://openalex.org/W2014244100","https://openalex.org/W2014774208","https://openalex.org/W2074866945","https://openalex.org/W2081613323","https://openalex.org/W2097548888","https://openalex.org/W2132763323","https://openalex.org/W2141697870","https://openalex.org/W2145997357","https://openalex.org/W2155995258","https://openalex.org/W2163367160","https://openalex.org/W2165299997","https://openalex.org/W2543580944","https://openalex.org/W3140035361","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2371136327","https://openalex.org/W4293234107","https://openalex.org/W2370549269","https://openalex.org/W2386824811","https://openalex.org/W2354618530","https://openalex.org/W2081226903","https://openalex.org/W2363452175","https://openalex.org/W2375225935","https://openalex.org/W2542179972","https://openalex.org/W2049864679"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3],"methodology":[4],"to":[5,65,75],"detect":[6],"the":[7,39,51,57,66,69,76,80,83,90,93,102,105,109],"central":[8,77],"region":[9,70,78],"of":[10,68,79,92,98,104,111],"weld":[11,81],"beads":[12],"on":[13,28,82],"petroleum":[14],"pipelines":[15],"in":[16,44,108],"double":[17,19],"wall":[18],"image":[20],"(DWDI)":[21],"radiographic":[22],"images.":[23],"The":[24,95],"method":[25,106],"is":[26,72,101],"based":[27],"three":[29],"steps:":[30],"pre-processing":[31],"(to":[32,37,49,88],"isolate":[33],"selected":[34,45],"regions),":[35],"optimization":[36,84],"define":[38],"ellipse":[40],"that":[41,56,71],"best":[42,52],"fits":[43],"region),":[46],"and":[47,85],"decision":[48,86],"choose":[50],"region).":[53],"Results":[54],"show":[55],"Particle":[58],"Swarm":[59],"Optimization":[60],"(PSO)":[61],"algorithm":[62],"converges":[63],"satisfactorily":[64],"selection":[67],"most":[73],"similar":[74],"steps":[87],"balance":[89],"weights":[91],"classifier).":[94],"scientific":[96],"contribution":[97],"this":[99],"research":[100],"improvement":[103],"applied":[107],"search":[110],"candidate":[112],"regions":[113],"through":[114],"ellipses'":[115],"attributes":[116],"analysis.":[117]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":3}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
