{"id":"https://openalex.org/W1514212061","doi":"https://doi.org/10.1109/i2mtc.2015.7151476","title":"Estimation of radius of curvature using reflected-spot method","display_name":"Estimation of radius of curvature using reflected-spot method","publication_year":2015,"publication_date":"2015-05-01","ids":{"openalex":"https://openalex.org/W1514212061","doi":"https://doi.org/10.1109/i2mtc.2015.7151476","mag":"1514212061"},"language":"en","primary_location":{"id":"doi:10.1109/i2mtc.2015.7151476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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/A5110696559","display_name":"Yu\u2013Hsuan Lin","orcid":"https://orcid.org/0000-0002-1981-0359"},"institutions":[{"id":"https://openalex.org/I4210166867","display_name":"National Applied Research Laboratories","ror":"https://ror.org/05wcstg80","country_code":"TW","type":"funder","lineage":["https://openalex.org/I4210128167","https://openalex.org/I4210166867"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Yu-Hsuan Lin","raw_affiliation_strings":["Instrument Technology Research Center, National Applied Research Laboratories (Narlabs), Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Instrument Technology Research Center, National Applied Research Laboratories (Narlabs), Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210166867"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100724058","display_name":"Yi\u2010Ju Chen","orcid":"https://orcid.org/0000-0002-5039-3047"},"institutions":[{"id":"https://openalex.org/I4210166867","display_name":"National Applied Research Laboratories","ror":"https://ror.org/05wcstg80","country_code":"TW","type":"funder","lineage":["https://openalex.org/I4210128167","https://openalex.org/I4210166867"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Ju Chen","raw_affiliation_strings":["Instrument Technology Research Center, National Applied Research Laboratories (Narlabs), Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Instrument Technology Research Center, National Applied Research Laboratories (Narlabs), Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210166867"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101750297","display_name":"Kuo\u2010Cheng Huang","orcid":"https://orcid.org/0000-0001-9971-8343"},"institutions":[{"id":"https://openalex.org/I4210166867","display_name":"National Applied Research Laboratories","ror":"https://ror.org/05wcstg80","country_code":"TW","type":"funder","lineage":["https://openalex.org/I4210128167","https://openalex.org/I4210166867"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kuo-Cheng Huang","raw_affiliation_strings":["Instrument Technology Research Center, National Applied Research Laboratories (Narlabs), Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Instrument Technology Research Center, National Applied Research Laboratories (Narlabs), Hsinchu, Taiwan","institution_ids":["https://openalex.org/I4210166867"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5110696559"],"corresponding_institution_ids":["https://openalex.org/I4210166867"],"apc_list":null,"apc_paid":null,"fwci":0.3249,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.58810069,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1382","last_page":"1386"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T11583","display_name":"Advanced Measurement and Metrology Techniques","score":0.9984999895095825,"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/T11890","display_name":"Scientific Measurement and Uncertainty Evaluation","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/curvature","display_name":"Curvature","score":0.7595752477645874},{"id":"https://openalex.org/keywords/radius","display_name":"RADIUS","score":0.6435157060623169},{"id":"https://openalex.org/keywords/radius-of-curvature","display_name":"Radius of curvature","score":0.53528892993927},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.4783196449279785},{"id":"https://openalex.org/keywords/response-surface-methodology","display_name":"Response surface methodology","score":0.44740748405456543},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.42203304171562195},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4074402451515198},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3899008333683014},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36106353998184204},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.35282912850379944},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2324785590171814},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.13233652710914612},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.12732741236686707},{"id":"https://openalex.org/keywords/mean-curvature","display_name":"Mean curvature","score":0.07202726602554321}],"concepts":[{"id":"https://openalex.org/C195065555","wikidata":"https://www.wikidata.org/wiki/Q214881","display_name":"Curvature","level":2,"score":0.7595752477645874},{"id":"https://openalex.org/C178635117","wikidata":"https://www.wikidata.org/wiki/Q747499","display_name":"RADIUS","level":2,"score":0.6435157060623169},{"id":"https://openalex.org/C11665553","wikidata":"https://www.wikidata.org/wiki/Q1136069","display_name":"Radius of curvature","level":5,"score":0.53528892993927},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.4783196449279785},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.44740748405456543},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.42203304171562195},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4074402451515198},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3899008333683014},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36106353998184204},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.35282912850379944},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2324785590171814},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.13233652710914612},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.12732741236686707},{"id":"https://openalex.org/C175017881","wikidata":"https://www.wikidata.org/wiki/Q1318998","display_name":"Mean curvature","level":3,"score":0.07202726602554321},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C127813850","wikidata":"https://www.wikidata.org/wiki/Q6803617","display_name":"Mean curvature flow","level":4,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/i2mtc.2015.7151476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/i2mtc.2015.7151476","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) Proceedings","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":15,"referenced_works":["https://openalex.org/W1568165673","https://openalex.org/W1613559169","https://openalex.org/W1983305838","https://openalex.org/W2011205389","https://openalex.org/W2019384389","https://openalex.org/W2042619698","https://openalex.org/W2094345803","https://openalex.org/W2097337036","https://openalex.org/W2103205509","https://openalex.org/W2121261432","https://openalex.org/W2157653807","https://openalex.org/W2170126048","https://openalex.org/W3099861321","https://openalex.org/W4212811627","https://openalex.org/W6636321707"],"related_works":["https://openalex.org/W2300368007","https://openalex.org/W3032061483","https://openalex.org/W1634816471","https://openalex.org/W2909115134","https://openalex.org/W2042360567","https://openalex.org/W4316038845","https://openalex.org/W2075183116","https://openalex.org/W2009519834","https://openalex.org/W4323927820","https://openalex.org/W2382606910"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,68,87],"non-contact":[4],"reflected-spot":[5],"method":[6],"(RSM)":[7],"for":[8],"estimating":[9],"the":[10,21,26,31,37,43,53,60,72,83,94],"radius":[11],"of":[12,15,20,42,55,62,67],"curvature":[13],"(ROC)":[14],"smooth":[16],"samples.":[17],"The":[18,65],"size":[19],"laser":[22],"spot":[23],"reflected":[24],"by":[25],"sample":[27],"was":[28,47],"used":[29],"as":[30],"basis":[32],"from":[33],"which":[34],"to":[35,76,93],"calculate":[36],"ROC.":[38,99],"A":[39],"geometric":[40],"model":[41],"proposed":[44],"RSM":[45,84],"system":[46,73,85],"fabricated":[48],"and":[49],"experimental":[50],"results":[51],"demonstrated":[52],"efficacy":[54],"this":[56],"approach":[57],"in":[58,97],"measuring":[59,98],"ROC":[61],"convex-plano":[63],"lenses.":[64],"introduction":[66],"correction":[69],"factor":[70],"reduced":[71],"percentage":[74],"error":[75],"3~6%.":[77],"Compared":[78],"with":[79],"traditional":[80],"contact-based":[81],"methods,":[82],"provides":[86],"non-invasive,":[88],"rapid,":[89],"portable,":[90],"low-cost":[91],"solution":[92],"difficulties":[95],"involved":[96]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}