{"id":"https://openalex.org/W4327655952","doi":"https://doi.org/10.1504/ijict.2023.10054795","title":"An interference recognition algorithm for auditing engineering drawings based on optimised CNN","display_name":"An interference recognition algorithm for auditing engineering drawings based on optimised CNN","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4327655952","doi":"https://doi.org/10.1504/ijict.2023.10054795"},"language":"en","primary_location":{"id":"doi:10.1504/ijict.2023.10054795","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijict.2023.10054795","pdf_url":null,"source":{"id":"https://openalex.org/S168803321","display_name":"International Journal of Information and Communication Technology","issn_l":"1466-6642","issn":["1466-6642","1741-8070"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Communication Technology","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/A5073362320","display_name":"Zining Li","orcid":"https://orcid.org/0000-0002-6921-8417"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Zining Li","raw_affiliation_strings":["State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China"],"affiliations":[{"raw_affiliation_string":"State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028101329","display_name":"Ailv Zhu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ailv Zhu","raw_affiliation_strings":["State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China"],"affiliations":[{"raw_affiliation_string":"State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428217","display_name":"Jie Li","orcid":"https://orcid.org/0000-0002-1897-0043"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China"],"affiliations":[{"raw_affiliation_string":"State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031646526","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0002-9496-4083"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jing Zhang","raw_affiliation_strings":["State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China"],"affiliations":[{"raw_affiliation_string":"State Grid Gansu Electric Power Research Institute, Lanzhou, 730070, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5073362320"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03430836,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":"3","first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T14257","display_name":"Advanced Measurement and Detection Methods","score":0.9180999994277954,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/computer-science","display_name":"Computer science","score":0.8918418884277344},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.6326239705085754},{"id":"https://openalex.org/keywords/interference","display_name":"Interference (communication)","score":0.6051609516143799},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4120092988014221},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.407809853553772},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39499425888061523},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.13573452830314636},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.09248915314674377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8918418884277344},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.6326239705085754},{"id":"https://openalex.org/C32022120","wikidata":"https://www.wikidata.org/wiki/Q797225","display_name":"Interference (communication)","level":3,"score":0.6051609516143799},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4120092988014221},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.407809853553772},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39499425888061523},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.13573452830314636},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.09248915314674377},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijict.2023.10054795","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijict.2023.10054795","pdf_url":null,"source":{"id":"https://openalex.org/S168803321","display_name":"International Journal of Information and Communication Technology","issn_l":"1466-6642","issn":["1466-6642","1741-8070"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310317825","host_organization_name":"Inderscience Publishers","host_organization_lineage":["https://openalex.org/P4310317825"],"host_organization_lineage_names":["Inderscience Publishers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Information and Communication Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2368779261","https://openalex.org/W2778699561","https://openalex.org/W2386767533","https://openalex.org/W2024702331","https://openalex.org/W4291907551","https://openalex.org/W2389317840","https://openalex.org/W2375151644","https://openalex.org/W2006969008","https://openalex.org/W2392449321","https://openalex.org/W2364713042"],"abstract_inverted_index":{"Engineering":[0],"drawing":[1],"is":[2,65,72,140,160],"one":[3],"of":[4,8,15,34,91,102,126,158],"the":[5,13,26,31,80,89,115,130,147,151,156,166],"main":[6,27],"objects":[7],"audit":[9,36,90],"work.":[10,37],"At":[11],"present,":[12],"use":[14],"computer":[16],"automatic":[17],"identification":[18],"technology":[19],"to":[20,29,73,76],"digitise":[21],"engineering":[22,48,56,81,92,109],"drawings":[23,57,82,110],"has":[24],"become":[25],"method":[28],"solve":[30],"low":[32],"efficiency":[33],"traditional":[35],"However,":[38],"few":[39],"reports":[40],"on":[41,47,59,162],"solutions":[42],"for":[43,54,122],"sample":[44,138],"attacks":[45],"based":[46,58],"drawings.":[49,93],"An":[50],"interference":[51],"recognition":[52,135],"algorithm":[53],"auditing":[55],"optimised":[60],"convolutional":[61],"neural":[62],"networks":[63,119],"(CNN)":[64],"proposed":[66],"in":[67,108],"this":[68],"paper.":[69],"The":[70,94],"purpose":[71],"be":[74,106],"able":[75],"proactively":[77],"identify":[78],"whether":[79],"contain":[83],"adversarial":[84],"samples":[85],"before":[86],"carrying":[87],"out":[88],"specific":[95],"methods":[96],"are":[97,111],"as":[98],"follows:":[99],"ten":[100,124],"types":[101,125],"images":[103,139],"that":[104,155],"may":[105],"embedded":[107],"considered":[112],"firstly;":[113],"then,":[114],"LeNet":[116],"and":[117,142],"VGG":[118],"were":[120],"improved":[121,161],"these":[123],"images,":[127],"respectively.":[128],"And":[129],"network":[131],"model":[132],"with":[133,146],"high":[134],"accuracy":[136,157],"against":[137],"trained":[141],"generated.":[143],"Finally,":[144],"compared":[145],"other":[148,167],"three":[149,168],"networks,":[150],"experimental":[152],"results":[153],"show":[154],"IVGG":[159],"average":[163],"4.44%":[164],"than":[165],"methods.":[169]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
