{"id":"https://openalex.org/W2908063696","doi":"https://doi.org/10.1109/icsai.2018.8599308","title":"Design of Ruminant Sound Detection for Dairy Cows Based on DWT-MFCC","display_name":"Design of Ruminant Sound Detection for Dairy Cows Based on DWT-MFCC","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2908063696","doi":"https://doi.org/10.1109/icsai.2018.8599308","mag":"2908063696"},"language":"en","primary_location":{"id":"doi:10.1109/icsai.2018.8599308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","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/A5031792794","display_name":"Ning Ding","orcid":"https://orcid.org/0000-0001-5618-6359"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ning Ding","raw_affiliation_strings":["Electronic Information Engineering Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information Engineering Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103157640","display_name":"Xiaodong Cheng","orcid":"https://orcid.org/0000-0002-7212-266X"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaodong Cheng","raw_affiliation_strings":["Electronic Information Engineering Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information Engineering Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087561491","display_name":"Zhengyi Cui","orcid":"https://orcid.org/0000-0002-4005-7023"},"institutions":[{"id":"https://openalex.org/I2722730","display_name":"Inner Mongolia University","ror":"https://ror.org/0106qb496","country_code":"CN","type":"education","lineage":["https://openalex.org/I2722730"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengyi Cui","raw_affiliation_strings":["Electronic Information Engineering Inner Mongolia University, Hohhot, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electronic Information Engineering Inner Mongolia University, Hohhot, China","institution_ids":["https://openalex.org/I2722730"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2722730"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"1983","issue":null,"first_page":"856","last_page":"860"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12365","display_name":"Effects of Environmental Stressors on Livestock","score":0.9745000004768372,"subfield":{"id":"https://openalex.org/subfields/1103","display_name":"Animal Science and Zoology"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10838","display_name":"Animal Behavior and Welfare Studies","score":0.9699000120162964,"subfield":{"id":"https://openalex.org/subfields/3404","display_name":"Small Animals"},"field":{"id":"https://openalex.org/fields/34","display_name":"Veterinary"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mel-frequency-cepstrum","display_name":"Mel-frequency cepstrum","score":0.8619551062583923},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5260123014450073},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5150861144065857},{"id":"https://openalex.org/keywords/ruminant","display_name":"Ruminant","score":0.5142195224761963},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5062515139579773},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.50101637840271},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4592359960079193},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4231386184692383},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4170447289943695},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.4104119539260864},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3535520136356354},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.13489940762519836},{"id":"https://openalex.org/keywords/agronomy","display_name":"Agronomy","score":0.09962120652198792}],"concepts":[{"id":"https://openalex.org/C151989614","wikidata":"https://www.wikidata.org/wiki/Q440370","display_name":"Mel-frequency cepstrum","level":3,"score":0.8619551062583923},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5260123014450073},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5150861144065857},{"id":"https://openalex.org/C2781003712","wikidata":"https://www.wikidata.org/wiki/Q842175","display_name":"Ruminant","level":3,"score":0.5142195224761963},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5062515139579773},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.50101637840271},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4592359960079193},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4231386184692383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4170447289943695},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.4104119539260864},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3535520136356354},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.13489940762519836},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"score":0.09962120652198792},{"id":"https://openalex.org/C137580998","wikidata":"https://www.wikidata.org/wiki/Q235352","display_name":"Crop","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai.2018.8599308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai.2018.8599308","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th International Conference on Systems and Informatics (ICSAI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","score":0.5199999809265137,"id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W1569887463","https://openalex.org/W1948357167","https://openalex.org/W2099955251","https://openalex.org/W2338701841","https://openalex.org/W2560296833","https://openalex.org/W2595299412","https://openalex.org/W6730237043"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W2030316446","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W1588899229","https://openalex.org/W2077021924","https://openalex.org/W2172291505"],"abstract_inverted_index":{"Ruminant":[0],"activities":[1],"of":[2,12,17,29,35,51,59,68,81,124,131,143],"dairy":[3,13,30,144],"cows":[4],"are":[5,91],"closely":[6],"related":[7],"to":[8,20,61],"the":[9,21,49,79,86,102,116,121,140],"health":[10,24],"status":[11,25],"cows,":[14],"which":[15],"is":[16,42,46,56,135],"great":[18],"significance":[19],"physiological":[22],"indexes,":[23],"and":[26,54,97,110,147,150],"production":[27],"capacity":[28],"cows.":[31],"A":[32],"recognition":[33,95,106,122],"algorithm":[34,119],"ruminant":[36,94,125,133],"sound":[37,104],"signal":[38,75],"based":[39,107],"on":[40,108],"DWT-MFCC":[41],"proposed.":[43],"Wavelet":[44],"transform":[45],"introduced":[47],"into":[48,65],"extraction":[50,118],"MFCC":[52,109],"parameters,":[53],"DWT":[55],"used":[57,92],"instead":[58],"FFT":[60],"decompose":[62],"speech":[63,88],"signals":[64],"wavelet":[66],"coefficients":[67],"multiple":[69],"frequency":[70,83],"bands.":[71],"Energy":[72],"redistribution":[73],"through":[74],"spectrum":[76],"splicing":[77],"increases":[78],"proportion":[80],"high":[82],"components.":[84],"Finally,":[85],"extracted":[87],"feature":[89,105,117],"parameters":[90],"for":[93],"training":[96],"recognition.":[98],"This":[99],"paper":[100],"compares":[101],"automatic":[103],"DWT-MFCC.":[111],"Experimental":[112],"results":[113],"show":[114],"that":[115],"improves":[120],"rate":[123,130],"events.":[126],"The":[127],"correct":[128],"matching":[129],"all":[132],"events":[134],"about":[136],"97":[137],"%.":[138],"Improve":[139],"accurate":[141],"management":[142],"cattle":[145],"raising":[146],"save":[148],"manpower":[149],"financial":[151],"resources.":[152]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
