{"id":"https://openalex.org/W6960807436","doi":"https://doi.org/10.13347/j.cnki.mkaq.20241098","title":"Sparse crowd sensing method for methane concentration field in coal mine fully mechanized mining face","display_name":"Sparse crowd sensing method for methane concentration field in coal mine fully mechanized mining face","publication_year":2025,"publication_date":"2025-03-01","ids":{"openalex":"https://openalex.org/W6960807436","doi":"https://doi.org/10.13347/j.cnki.mkaq.20241098"},"language":"en","primary_location":{"id":"pmh:oai:doaj.org/article:57ffc621cd4f4a26b7a923ffe18e0e89","doi":"https://doi.org/10.13347/j.cnki.mkaq.20241098","is_oa":true,"landing_page_url":"https://doaj.org/article/57ffc621cd4f4a26b7a923ffe18e0e89","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Meikuang Anquan, Vol 56, Iss 3, Pp 1-11 (2025)","raw_type":"article"},"volume":null,"type":"article","indexed_in":["doaj"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doaj.org/article/57ffc621cd4f4a26b7a923ffe18e0e89","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101994917","display_name":"Jing Zhang","orcid":"https://orcid.org/0000-0003-2494-8077","observed_orcids":["https://orcid.org/0000-0003-2494-8077"]},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing ZHANG","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Dou ZHA","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dou ZHA","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shijia QU","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210151703","display_name":"China Coal Technology and Engineering Group Corp (China)","ror":"https://ror.org/045d9gj14","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210151703"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijia QU","raw_affiliation_strings":["China Coal Technology and Engineering Group Changzhou Research Institute, Changzhou 213015, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Coal Technology and Engineering Group Changzhou Research Institute, Changzhou 213015, China","institution_ids":["https://openalex.org/I4210151703"]}]},{"author_position":"last","author":{"id":null,"display_name":"Yuguang XU","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuguang XU","raw_affiliation_strings":["College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Xi\u2019an University of Science and Technology, Xi\u2019an 710054, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37090827,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T14392","display_name":"Geoscience and Mining Technology","score":0.7656000256538391,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14392","display_name":"Geoscience and Mining Technology","score":0.7656000256538391,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T14091","display_name":"Industrial and Mining Safety","score":0.06920000165700912,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.04859999939799309,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fully-mechanized-mining-face","display_name":"fully mechanized mining face","score":0.984000027179718},{"id":"https://openalex.org/keywords/deep-reinforcement-learning","display_name":"deep reinforcement learning","score":0.8650000095367432},{"id":"https://openalex.org/keywords/deep-q-network","display_name":"deep Q-network","score":0.6539999842643738},{"id":"https://openalex.org/keywords/kriging","display_name":"kriging","score":0.9100000262260437},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"particle swarm optimization","score":0.8880000114440918},{"id":"https://openalex.org/keywords/support-vector-regression","display_name":"support vector regression","score":0.9940000176429749}],"concepts":[{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.7803999781608582},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6599000096321106},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.6485000252723694},{"id":"https://openalex.org/C108615695","wikidata":"https://www.wikidata.org/wiki/Q12880211","display_name":"Coal mining","level":3,"score":0.6039000153541565},{"id":"https://openalex.org/C516920438","wikidata":"https://www.wikidata.org/wiki/Q37129","display_name":"Methane","level":2,"score":0.5769000053405762},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.5684000253677368},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5483999848365784},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5213000178337097},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.47769999504089355},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.429500013589859},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.40299999713897705},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.3409999907016754},{"id":"https://openalex.org/C16674752","wikidata":"https://www.wikidata.org/wiki/Q1370637","display_name":"Mining engineering","level":1,"score":0.3165999948978424},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31540000438690186},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.31040000915527344},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.30309998989105225},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.29100000858306885},{"id":"https://openalex.org/C518851703","wikidata":"https://www.wikidata.org/wiki/Q24489","display_name":"Coal","level":2,"score":0.27709999680519104},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.26170000433921814},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25940001010894775},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.25859999656677246},{"id":"https://openalex.org/C145828037","wikidata":"https://www.wikidata.org/wiki/Q17086219","display_name":"Least squares support vector machine","level":3,"score":0.2581999897956848},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:doaj.org/article:57ffc621cd4f4a26b7a923ffe18e0e89","doi":"https://doi.org/10.13347/j.cnki.mkaq.20241098","is_oa":true,"landing_page_url":"https://doaj.org/article/57ffc621cd4f4a26b7a923ffe18e0e89","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Meikuang Anquan, Vol 56, Iss 3, Pp 1-11 (2025)","raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:doaj.org/article:57ffc621cd4f4a26b7a923ffe18e0e89","doi":"https://doi.org/10.13347/j.cnki.mkaq.20241098","is_oa":true,"landing_page_url":"https://doaj.org/article/57ffc621cd4f4a26b7a923ffe18e0e89","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Meikuang Anquan, Vol 56, Iss 3, Pp 1-11 (2025)","raw_type":"article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"view":[1],"of":[2,5,53,61,70,83,125,136,149,217,228,251,275,290],"the":[3,28,41,50,59,66,80,114,122,126,132,137,147,154,182,188,191,196,201,211,218,225,229,249,262,269,276],"lack":[4],"methane":[6,24,35,54,67,101,150,169,270],"monitoring":[7,26,51],"points":[8],"in":[9,27,40,56,146,153,200,239,272],"coal":[10],"mine":[11],"fully":[12,71,84,235],"mechanized":[13,72,85,236],"mining":[14,29,42,73,86,127,237,277],"face,":[15,87],"it":[16],"is":[17,63,75,173,179,207],"difficult":[18],"to":[19,120,130,186,209],"achieve":[20],"for":[21],"high":[22],"coverage":[23],"concentration":[25,36,55,68,102,151,170,271],"face":[30,43,74,128,238,278],"area.":[31],"We":[32],"propose":[33,89],"a":[34,90,157,234,240],"field":[37,69],"sensing":[38,103,265],"method":[39,172,185,193,266],"based":[44,78,94,142,160],"on":[45,79,95,143,161],"sparse":[46,263],"crowd":[47,264],"sensing.":[48],"Through":[49],"data":[52],"some":[57,281],"sub-cells,":[58],"correlation":[60],"sub-cells":[62],"explored,":[64],"and":[65,134,214,244,254],"inferred.":[76],"Firstly,":[77],"sub-cell":[81],"division":[82],"we":[88,232],"deep":[91],"reinforcement":[92],"learning":[93],"distributed":[96,115],"weighted":[97,116],"self-attention":[98,117],"mechanism":[99,118],"(DSA-DQN)":[100],"cell":[104,109,138],"optimization":[105,110,133,139,164,206],"selection":[106,111,140],"algorithm.":[107],"The":[108,175,257],"algorithm":[112,141],"uses":[113],"(DSA)":[119],"capture":[121],"key":[123,282],"information":[124],"environment,":[129],"assist":[131],"decision-making":[135],"DQN.":[144],"Secondly,":[145],"aspect":[148],"inference":[152,171,226],"unsensing":[155],"area,":[156],"Kriging":[158,183],"interpolation":[159,184,202],"particle":[162],"swarm":[163,205],"support":[165,176,219],"vector":[166,177,220],"regression":[167,178,221],"(PS-Kriging)":[168],"proposed.":[174],"combined":[180],"with":[181,285],"solve":[187],"problem":[189],"that":[190,261],"traditional":[192],"fall":[194],"into":[195],"local":[197],"optimal":[198],"solution":[199],"process.":[203],"Particle":[204],"used":[208],"improve":[210],"kernel":[212],"parameters":[213,216],"penalty":[215],"model,":[222],"which":[223],"improves":[224],"accuracy":[227],"model.":[230],"Finally,":[231],"choosed":[233],"Shanxi":[241],"province":[242],"mine,":[243],"made":[245],"experimental":[246,258],"verification":[247],"through":[248],"combination":[250],"on-site":[252],"measurement":[253],"simulation":[255],"experiments.":[256],"results":[259],"show":[260],"can":[267],"infer":[268],"all":[273],"cells":[274],"by":[279],"selecting":[280],"sub":[283],"cells,":[284],"an":[286],"mean":[287],"absolute":[288],"error":[289],"0.07%.":[291]},"counts_by_year":[],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2025-10-10T00:00:00"}
