{"id":"https://openalex.org/W4311413634","doi":"https://doi.org/10.1109/sensors52175.2022.9967112","title":"An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators","display_name":"An Asymmetric Adaptive Approach to Enhance Output Power in Kinetic-Based Microgenerators","publication_year":2022,"publication_date":"2022-10-30","ids":{"openalex":"https://openalex.org/W4311413634","doi":"https://doi.org/10.1109/sensors52175.2022.9967112"},"language":"en","primary_location":{"id":"doi:10.1109/sensors52175.2022.9967112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967112","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Sensors","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062571668","display_name":"Masoud Roudneshin","orcid":"https://orcid.org/0000-0003-4386-6923"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Masoud Roudneshin","raw_affiliation_strings":["Concordia University,Department of Electrical Engineering,Montreal,Canada","Department of Electrical Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024047419","display_name":"Kamran Sayrafian","orcid":"https://orcid.org/0000-0002-1395-7448"},"institutions":[{"id":"https://openalex.org/I1321296531","display_name":"National Institute of Standards and Technology","ror":"https://ror.org/05xpvk416","country_code":"US","type":"funder","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065"]},{"id":"https://openalex.org/I4210126846","display_name":"Information Technology Laboratory","ror":"https://ror.org/0440c3437","country_code":"US","type":"government","lineage":["https://openalex.org/I1321296531","https://openalex.org/I1343035065","https://openalex.org/I4210126846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kamran Sayrafian","raw_affiliation_strings":["Information Technology Laboratory National Institute of Standards &#x0026; Technology,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Information Technology Laboratory National Institute of Standards &#x0026; Technology,USA","institution_ids":["https://openalex.org/I1321296531","https://openalex.org/I4210126846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023864111","display_name":"Amir G. Aghdam","orcid":"https://orcid.org/0000-0001-5180-0508"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Amir G. Aghdam","raw_affiliation_strings":["Concordia University,Department of Electrical Engineering,Montreal,Canada","Department of Electrical Engineering, Concordia University, Montreal, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Concordia University,Department of Electrical Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]},{"raw_affiliation_string":"Department of Electrical Engineering, Concordia University, Montreal, Canada","institution_ids":["https://openalex.org/I60158472"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11230","display_name":"Innovative Energy Harvesting Technologies","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11230","display_name":"Innovative Energy Harvesting Technologies","score":1.0,"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/T10338","display_name":"Advanced Sensor and Energy Harvesting Materials","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T11449","display_name":"Mechanical and Optical Resonators","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/acceleration","display_name":"Acceleration","score":0.7098612785339355},{"id":"https://openalex.org/keywords/kinetic-energy","display_name":"Kinetic energy","score":0.6333531141281128},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.6296089291572571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5662752389907837},{"id":"https://openalex.org/keywords/waveform","display_name":"Waveform","score":0.5629823803901672},{"id":"https://openalex.org/keywords/electric-potential-energy","display_name":"Electric potential energy","score":0.5537979602813721},{"id":"https://openalex.org/keywords/wearable-computer","display_name":"Wearable computer","score":0.5378642678260803},{"id":"https://openalex.org/keywords/parametric-statistics","display_name":"Parametric statistics","score":0.5252974629402161},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5088989734649658},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4988424777984619},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.48978209495544434},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.41631871461868286},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.2947731614112854},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.17673251032829285},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14280012249946594},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.10535624623298645},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09759625792503357}],"concepts":[{"id":"https://openalex.org/C117896860","wikidata":"https://www.wikidata.org/wiki/Q11376","display_name":"Acceleration","level":2,"score":0.7098612785339355},{"id":"https://openalex.org/C135889238","wikidata":"https://www.wikidata.org/wiki/Q46276","display_name":"Kinetic energy","level":2,"score":0.6333531141281128},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.6296089291572571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5662752389907837},{"id":"https://openalex.org/C197424946","wikidata":"https://www.wikidata.org/wiki/Q1165717","display_name":"Waveform","level":3,"score":0.5629823803901672},{"id":"https://openalex.org/C98576551","wikidata":"https://www.wikidata.org/wiki/Q841798","display_name":"Electric potential energy","level":3,"score":0.5537979602813721},{"id":"https://openalex.org/C150594956","wikidata":"https://www.wikidata.org/wiki/Q1334829","display_name":"Wearable computer","level":2,"score":0.5378642678260803},{"id":"https://openalex.org/C117251300","wikidata":"https://www.wikidata.org/wiki/Q1849855","display_name":"Parametric statistics","level":2,"score":0.5252974629402161},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5088989734649658},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4988424777984619},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.48978209495544434},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.41631871461868286},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.2947731614112854},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.17673251032829285},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14280012249946594},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.10535624623298645},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09759625792503357},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/sensors52175.2022.9967112","is_oa":false,"landing_page_url":"https://doi.org/10.1109/sensors52175.2022.9967112","pdf_url":null,"source":{"id":"https://openalex.org/S4363604906","display_name":"2022 IEEE Sensors","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE Sensors","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.9100000262260437,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1964376276","https://openalex.org/W2058956377","https://openalex.org/W2068941880","https://openalex.org/W2161353157","https://openalex.org/W2283356986","https://openalex.org/W2308117132","https://openalex.org/W2794237759","https://openalex.org/W2885956118","https://openalex.org/W2889351309","https://openalex.org/W2992097319","https://openalex.org/W3091143196","https://openalex.org/W4294691996"],"related_works":["https://openalex.org/W2737325813","https://openalex.org/W3009974500","https://openalex.org/W2390019915","https://openalex.org/W4253687361","https://openalex.org/W2619581498","https://openalex.org/W3130807452","https://openalex.org/W3136383321","https://openalex.org/W1558401865","https://openalex.org/W2972468294","https://openalex.org/W2000859966"],"abstract_inverted_index":{"A":[0],"Coulomb":[1],"force":[2,44],"parametric":[3],"generator":[4],"(CFPG)":[5],"can":[6],"be":[7],"used":[8],"to":[9,40,72],"harvest":[10],"energy":[11,70],"from":[12],"the":[13,21,42,49,61,68,73],"natural":[14],"human":[15,56],"body":[16],"motion.":[17],"This":[18],"micro-harvester":[19],"is":[20,52],"architecture":[22],"of":[23],"choice":[24],"for":[25],"integration":[26],"with":[27],"small":[28],"wearable":[29],"(or":[30],"implantable)":[31],"sensors.":[32],"In":[33],"this":[34],"paper,":[35],"an":[36],"asymmetric":[37],"adaptive":[38,77],"approach":[39,63],"estimate":[41],"electrostatic":[43],"in":[45,67],"a":[46],"CFPG":[47],"using":[48,55],"acceleration":[50],"waveform":[51],"proposed.":[53],"Simulations":[54],"motion":[57],"measurements":[58],"show":[59],"that":[60],"proposed":[62],"achieves":[64],"considerable":[65],"gain":[66],"harvested":[69],"compared":[71],"previously":[74],"studied":[75],"symmetric":[76],"methodologies.":[78]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
