{"id":"https://openalex.org/W2068980461","doi":"https://doi.org/10.1109/ciss.2015.7086876","title":"Explicit estimation-error-probability computation and sensor design for flag Hidden Markov Models","display_name":"Explicit estimation-error-probability computation and sensor design for flag Hidden Markov Models","publication_year":2015,"publication_date":"2015-03-01","ids":{"openalex":"https://openalex.org/W2068980461","doi":"https://doi.org/10.1109/ciss.2015.7086876","mag":"2068980461"},"language":"en","primary_location":{"id":"doi:10.1109/ciss.2015.7086876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","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/A5084866638","display_name":"Kyle C. Doty","orcid":"https://orcid.org/0000-0002-1504-3682"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kyle Doty","raw_affiliation_strings":["Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States"],"affiliations":[{"raw_affiliation_string":"Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103231201","display_name":"Sandip Roy","orcid":"https://orcid.org/0000-0002-5558-9698"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sandip Roy","raw_affiliation_strings":["Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States"],"affiliations":[{"raw_affiliation_string":"Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033433868","display_name":"Dinuka Sahabandu","orcid":"https://orcid.org/0000-0001-7776-7865"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dinuka Sahabandu","raw_affiliation_strings":["Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States"],"affiliations":[{"raw_affiliation_string":"Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States","institution_ids":["https://openalex.org/I72951846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073938661","display_name":"Ramyar Saeedi","orcid":"https://orcid.org/0000-0002-5687-3420"},"institutions":[{"id":"https://openalex.org/I72951846","display_name":"Washington State University","ror":"https://ror.org/05dk0ce17","country_code":"US","type":"education","lineage":["https://openalex.org/I72951846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ramyar Saeedi","raw_affiliation_strings":["Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States"],"affiliations":[{"raw_affiliation_string":"Washington State University, School of Electrical Engineering and Computer Science, Pullman, United States","institution_ids":["https://openalex.org/I72951846"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5084866638"],"corresponding_institution_ids":["https://openalex.org/I72951846"],"apc_list":null,"apc_paid":null,"fwci":1.3313,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83300981,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"50","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9972000122070312,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10080","display_name":"Energy Efficient Wireless Sensor Networks","score":0.9879999756813049,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.8325710296630859},{"id":"https://openalex.org/keywords/flag","display_name":"Flag (linear algebra)","score":0.7563603520393372},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6707159280776978},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5341569185256958},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.5180466175079346},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.49328941106796265},{"id":"https://openalex.org/keywords/markov-model","display_name":"Markov model","score":0.42942726612091064},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42907586693763733},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.4182891547679901},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34078270196914673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3330739140510559},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32984501123428345},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2271299660205841}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.8325710296630859},{"id":"https://openalex.org/C2776730729","wikidata":"https://www.wikidata.org/wiki/Q1392130","display_name":"Flag (linear algebra)","level":3,"score":0.7563603520393372},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6707159280776978},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5341569185256958},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.5180466175079346},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.49328941106796265},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.42942726612091064},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42907586693763733},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.4182891547679901},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34078270196914673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3330739140510559},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32984501123428345},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2271299660205841},{"id":"https://openalex.org/C136119220","wikidata":"https://www.wikidata.org/wiki/Q1000660","display_name":"Algebra over a field","level":2,"score":0.0},{"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/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ciss.2015.7086876","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ciss.2015.7086876","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 49th Annual Conference on Information Sciences and Systems (CISS)","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":12,"referenced_works":["https://openalex.org/W1883186006","https://openalex.org/W1923769013","https://openalex.org/W2010888787","https://openalex.org/W2060076922","https://openalex.org/W2102282908","https://openalex.org/W2119174600","https://openalex.org/W2125838338","https://openalex.org/W2131722139","https://openalex.org/W2155349500","https://openalex.org/W2170951021","https://openalex.org/W4250389103","https://openalex.org/W6640384098"],"related_works":["https://openalex.org/W1510894296","https://openalex.org/W2134386692","https://openalex.org/W2082284720","https://openalex.org/W2084326697","https://openalex.org/W2194396582","https://openalex.org/W2027903142","https://openalex.org/W2116722627","https://openalex.org/W2537260108","https://openalex.org/W2354322608","https://openalex.org/W2379938888"],"abstract_inverted_index":{"Hidden":[0],"Markov":[1],"Models":[2],"(HMM)":[3],"are":[4,57,70,106],"used":[5,71],"in":[6,102],"a":[7,36,41,51,94,103],"number":[8],"of":[9,44,53,64,81],"sensor":[10,20],"networking":[11],"applications.":[12],"These":[13,68],"applications":[14],"often":[15],"require":[16],"performance":[17,30],"evaluation":[18,31],"and":[19,32,76,88],"design":[21,33],"for":[22,40,59],"HMM":[23],"estimation":[24,89],"algorithms.":[25],"This":[26],"article":[27],"approaches":[28],"the":[29,60,65,82,85,100],"problems":[34],"from":[35],"structural":[37],"perspective.":[38],"Specifically,":[39],"special":[42],"class":[43],"flag":[45,50],"HMMs":[46,86],"(where":[47],"sensors":[48],"accurately":[49],"subset":[52],"states),":[54],"explicit":[55],"formulae":[56,69],"derived":[58],"average":[61],"error":[62],"probability":[63],"maximum-likelihood":[66],"estimate.":[67],"to":[72,77],"optimally":[73],"place":[74],"sensors,":[75],"gain":[78],"an":[79],"understanding":[80],"relationship":[83],"between":[84],"structure":[87],"error.":[90],"Three":[91],"examples,":[92],"including":[93],"real-world":[95],"case":[96],"study":[97],"on":[98],"monitoring":[99],"elderly":[101],"smart":[104],"home,":[105],"presented.":[107]},"counts_by_year":[{"year":2016,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}