{"id":"https://openalex.org/W2016123489","doi":"https://doi.org/10.1145/2724660.2724682","title":"An Automated Grading/Feedback System for 3-View Engineering Drawings using RANSAC","display_name":"An Automated Grading/Feedback System for 3-View Engineering Drawings using RANSAC","publication_year":2015,"publication_date":"2015-03-09","ids":{"openalex":"https://openalex.org/W2016123489","doi":"https://doi.org/10.1145/2724660.2724682","mag":"2016123489"},"language":"en","primary_location":{"id":"doi:10.1145/2724660.2724682","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2724660.2724682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second (2015) ACM Conference on Learning @ Scale","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/A5032742136","display_name":"Youngwook Paul Kwon","orcid":"https://orcid.org/0009-0003-0529-3578"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Youngwook Paul Kwon","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA","University of California, Berkeley, Berkeley, CA USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028643684","display_name":"Sara McMains","orcid":"https://orcid.org/0000-0002-7152-9409"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara McMains","raw_affiliation_strings":["University of California, Berkeley, Berkeley, CA, USA","University of California, Berkeley, Berkeley, CA USA"],"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA, USA","institution_ids":["https://openalex.org/I95457486"]},{"raw_affiliation_string":"University of California, Berkeley, Berkeley, CA USA","institution_ids":["https://openalex.org/I95457486"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032742136"],"corresponding_institution_ids":["https://openalex.org/I95457486"],"apc_list":null,"apc_paid":null,"fwci":2.2633,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.88333645,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"157","last_page":"166"},"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":0.9947999715805054,"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":0.9947999715805054,"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/T12549","display_name":"Image and Object Detection Techniques","score":0.9944000244140625,"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/T10638","display_name":"Optical measurement and interference techniques","score":0.9868999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/ransac","display_name":"RANSAC","score":0.7712571620941162},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7555276155471802},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.6795235276222229},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.6232055425643921},{"id":"https://openalex.org/keywords/offset","display_name":"Offset (computer science)","score":0.5034584403038025},{"id":"https://openalex.org/keywords/engineering-drawing","display_name":"Engineering drawing","score":0.4914792776107788},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.44501742720603943},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3985157012939453},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.32672590017318726},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.15005815029144287},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10071679949760437},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09643429517745972}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.7712571620941162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7555276155471802},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.6795235276222229},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.6232055425643921},{"id":"https://openalex.org/C175291020","wikidata":"https://www.wikidata.org/wiki/Q1156822","display_name":"Offset (computer science)","level":2,"score":0.5034584403038025},{"id":"https://openalex.org/C199639397","wikidata":"https://www.wikidata.org/wiki/Q1788588","display_name":"Engineering drawing","level":1,"score":0.4914792776107788},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.44501742720603943},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3985157012939453},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.32672590017318726},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.15005815029144287},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10071679949760437},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09643429517745972},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2724660.2724682","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2724660.2724682","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second (2015) ACM Conference on Learning @ Scale","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320309411","display_name":"University of California Berkeley","ror":"https://ror.org/01an7q238"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W397532840","https://openalex.org/W988466463","https://openalex.org/W1990038874","https://openalex.org/W2000018820","https://openalex.org/W2023173772","https://openalex.org/W2024548552","https://openalex.org/W2033819227","https://openalex.org/W2037054647","https://openalex.org/W2043302380","https://openalex.org/W2046434485","https://openalex.org/W2085261163","https://openalex.org/W2091388028","https://openalex.org/W2099777245","https://openalex.org/W2106364358","https://openalex.org/W2131247561","https://openalex.org/W2134138606","https://openalex.org/W2168104347","https://openalex.org/W2741523225","https://openalex.org/W3183934116","https://openalex.org/W4235632527"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W3107042705","https://openalex.org/W2115876589","https://openalex.org/W2981196697","https://openalex.org/W3083084699","https://openalex.org/W3012182724","https://openalex.org/W3159849251","https://openalex.org/W2995197198","https://openalex.org/W1965934332"],"abstract_inverted_index":{"We":[0,38,108],"propose":[1],"a":[2,94,148],"novel":[3],"automated":[4],"grading":[5],"system":[6,61,90],"that":[7,18,40],"can":[8,27,46,139],"compare":[9],"two":[10],"multiview":[11,69],"engineering":[12,70],"drawings":[13],"consisting":[14],"of":[15,112,126,135,144],"three":[16],"views":[17],"may":[19],"have":[20],"allowable":[21],"translations,":[22],"scales,":[23],"and":[24,26,43,128],"offsets,":[25],"recognize":[28],"frequent":[29],"error":[30],"types":[31],"as":[32,34,87,147],"well":[33],"individual":[35,56],"drawing":[36],"errors.":[37],"show":[39,109],"translation,":[41],"scale,":[42],"offset-invariant":[44],"comparison":[45],"be":[47,80],"conducted":[48],"by":[49,116],"estimating":[50],"the":[51,102,110,113,124,141,145],"affine":[52],"transformation":[53],"for":[54,76],"each":[55],"view":[57],"within":[58],"drawings.":[59,71],"Our":[60],"directly":[62,100],"aims":[63],"to":[64,79],"evaluate":[65],"students'":[66,136],"skills":[67],"creating":[68],"Since":[72],"it":[73],"is":[74],"important":[75],"our":[77,89,132,151],"students":[78],"familiar":[81],"with":[82,120],"widely":[83],"used":[84],"software":[85],"such":[86],"AutoCAD,":[88],"does":[91],"not":[92],"require":[93],"separate":[95],"interface":[96],"or":[97],"environment,":[98],"but":[99],"grades":[101],"saved":[103],"DWG/DXF":[104],"files":[105],"from":[106],"AutoCAD.":[107],"efficacy":[111],"proposed":[114],"algorithm":[115],"comparing":[117],"its":[118],"results":[119],"human":[121],"grading.":[122],"Beyond":[123],"advantages":[125],"convenience":[127],"accuracy,":[129],"based":[130],"on":[131],"data":[133],"set":[134],"answers,":[137],"we":[138],"analyze":[140],"common":[142],"errors":[143],"class":[146],"whole":[149],"using":[150],"system.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
