{"id":"https://openalex.org/W2498821107","doi":"https://doi.org/10.1109/meco.2016.7525728","title":"Onboard rough estimation of point source coordinates for linear IR-sensor","display_name":"Onboard rough estimation of point source coordinates for linear IR-sensor","publication_year":2016,"publication_date":"2016-06-01","ids":{"openalex":"https://openalex.org/W2498821107","doi":"https://doi.org/10.1109/meco.2016.7525728","mag":"2498821107"},"language":"en","primary_location":{"id":"doi:10.1109/meco.2016.7525728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2016.7525728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","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/A5000964978","display_name":"Yury S. Bekhtin","orcid":"https://orcid.org/0000-0001-9963-7244"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":true,"raw_author_name":"Yury S. Bekhtin","raw_affiliation_strings":["Ryazan State Radio Engineering University (RSREU), Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University (RSREU), Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072697768","display_name":"Andrey A. Bryantsev","orcid":null},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Andrey A. Bryantsev","raw_affiliation_strings":["Ryazan State Radio Engineering University (RSREU), Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University (RSREU), Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047934348","display_name":"Pavel Babayan","orcid":"https://orcid.org/0000-0003-4041-3101"},"institutions":[{"id":"https://openalex.org/I4210149385","display_name":"Ryazan State Radio Engineering University","ror":"https://ror.org/04y34yk39","country_code":"RU","type":"education","lineage":["https://openalex.org/I4210149385"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Pavel V. Babayan","raw_affiliation_strings":["Ryazan State Radio Engineering University (RSREU), Ryazan, Russia"],"affiliations":[{"raw_affiliation_string":"Ryazan State Radio Engineering University (RSREU), Ryazan, Russia","institution_ids":["https://openalex.org/I4210149385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5000964978"],"corresponding_institution_ids":["https://openalex.org/I4210149385"],"apc_list":null,"apc_paid":null,"fwci":1.5262,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.86775092,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"158","last_page":"161"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.9889000058174133,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12019","display_name":"Calibration and Measurement Techniques","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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":0.9772999882698059,"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/estimator","display_name":"Estimator","score":0.6099197268486023},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5778727531433105},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5045357942581177},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4870050549507141},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.4842536151409149},{"id":"https://openalex.org/keywords/midpoint","display_name":"Midpoint","score":0.4773992598056793},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.4646994471549988},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4613492786884308},{"id":"https://openalex.org/keywords/least-squares-function-approximation","display_name":"Least-squares function approximation","score":0.4587545394897461},{"id":"https://openalex.org/keywords/point-source","display_name":"Point source","score":0.4296424984931946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3562648892402649},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.340518593788147},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32577332854270935},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.27328014373779297},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.2381778061389923},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.2120455503463745},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1217871904373169},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.09727939963340759},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.08682301640510559}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6099197268486023},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5778727531433105},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5045357942581177},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4870050549507141},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.4842536151409149},{"id":"https://openalex.org/C34130140","wikidata":"https://www.wikidata.org/wiki/Q1645406","display_name":"Midpoint","level":2,"score":0.4773992598056793},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.4646994471549988},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4613492786884308},{"id":"https://openalex.org/C9936470","wikidata":"https://www.wikidata.org/wiki/Q6510405","display_name":"Least-squares function approximation","level":3,"score":0.4587545394897461},{"id":"https://openalex.org/C103783831","wikidata":"https://www.wikidata.org/wiki/Q2552709","display_name":"Point source","level":2,"score":0.4296424984931946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3562648892402649},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.340518593788147},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32577332854270935},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.27328014373779297},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.2381778061389923},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.2120455503463745},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1217871904373169},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.09727939963340759},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.08682301640510559}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/meco.2016.7525728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/meco.2016.7525728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 5th Mediterranean Conference on Embedded Computing (MECO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2023683318","https://openalex.org/W2052817987","https://openalex.org/W2090678579","https://openalex.org/W2141456872","https://openalex.org/W4236844765"],"related_works":["https://openalex.org/W2368520543","https://openalex.org/W3091779247","https://openalex.org/W2079857752","https://openalex.org/W37565017","https://openalex.org/W1970416772","https://openalex.org/W2361785418","https://openalex.org/W2353608563","https://openalex.org/W2955256244","https://openalex.org/W4299069794","https://openalex.org/W2796380742"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2,67],"the":[3,24,36,39,43,49,52,58,64,68,71,102,117],"relatively":[4],"simple":[5],"algorithm":[6,55,104],"for":[7,85,94],"quick":[8],"calculating":[9],"rough":[10],"estimators":[11],"of":[12,26,38,51,83,108,116,125],"point":[13,44,109],"source":[14,110],"coordinates":[15,111],"within":[16],"an":[17],"image":[18],"formed":[19],"by":[20],"onboard":[21],"IR-sensor":[22],"having":[23],"line":[25],"photoelements":[27],"with":[28,106],"interlaced":[29],"photosensitive":[30],"squares.":[31],"It":[32],"is":[33,46,73],"assumed":[34],"that":[35,101,120],"diameter":[37],"light":[40],"spot":[41,72],"from":[42],"object":[45],"equal":[47],"to":[48,113],"size":[50,119],"photoelement.":[53,96],"The":[54,97],"based":[56],"on":[57,75],"iterative":[59],"least":[60],"square":[61,118],"method":[62],"uses":[63],"model":[65],"which":[66],"cases":[69],"when":[70],"put":[74],"both":[76],"three":[77],"and":[78,90],"two":[79],"squares,":[80],"small":[81],"quantity":[82],"samples":[84],"channel":[86],"impulses,":[87],"voltage":[88],"shifts":[89],"correlated":[91],"white":[92],"noise":[93],"each":[95],"experiments":[98],"have":[99],"shown":[100],"suggested":[103],"provides":[105],"accuracy":[107],"up":[112],"few":[114],"hundredth":[115],"allows":[121],"replacing":[122],"routine":[123],"processing":[124],"whole":[126],"image.":[127]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
