{"id":"https://openalex.org/W2995994303","doi":"https://doi.org/10.1145/3371425.3371452","title":"Bridge displacement prediction method based on ARIMA model","display_name":"Bridge displacement prediction method based on ARIMA model","publication_year":2019,"publication_date":"2019-12-10","ids":{"openalex":"https://openalex.org/W2995994303","doi":"https://doi.org/10.1145/3371425.3371452","mag":"2995994303"},"language":"en","primary_location":{"id":"doi:10.1145/3371425.3371452","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","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/A5063892127","display_name":"Xingxu Cai","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingxu Cai","raw_affiliation_strings":["Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108830029","display_name":"Yian Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I111599522","display_name":"Jiangnan University","ror":"https://ror.org/04mkzax54","country_code":"CN","type":"education","lineage":["https://openalex.org/I111599522"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi'an Liu","raw_affiliation_strings":["Jiangnan University, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jiangnan University, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I111599522"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103736034","display_name":"Ying Xiao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210132399","display_name":"Wuxi Vocational Institute of Commerce","ror":"https://ror.org/03bdrtb23","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210132399"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Xiao","raw_affiliation_strings":["Wuxi Vocational and Technical College, Wuxi, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wuxi Vocational and Technical College, Wuxi, Jiangsu, China","institution_ids":["https://openalex.org/I4210132399"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2078,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.61054803,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"24","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9800000190734863,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9721999764442444,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/T12368","display_name":"Grey System Theory Applications","score":0.9488000273704529,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.8770921230316162},{"id":"https://openalex.org/keywords/displacement","display_name":"Displacement (psychology)","score":0.6668598055839539},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.6635637879371643},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.6136302351951599},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.563077449798584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4640793800354004},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4512363076210022},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.44284048676490784},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.36247146129608154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33136439323425293},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3150007128715515},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14535459876060486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1377561092376709}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.8770921230316162},{"id":"https://openalex.org/C107551265","wikidata":"https://www.wikidata.org/wiki/Q1458245","display_name":"Displacement (psychology)","level":2,"score":0.6668598055839539},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.6635637879371643},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.6136302351951599},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.563077449798584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4640793800354004},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4512363076210022},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.44284048676490784},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.36247146129608154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33136439323425293},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3150007128715515},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14535459876060486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1377561092376709},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3371425.3371452","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3371425.3371452","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the International Conference on Artificial Intelligence, Information Processing and Cloud Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1549523743","https://openalex.org/W1987919734","https://openalex.org/W2911216727","https://openalex.org/W2920162111","https://openalex.org/W2923741627","https://openalex.org/W2942933131","https://openalex.org/W2982807677","https://openalex.org/W3149575893"],"related_works":["https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2146461990","https://openalex.org/W4312309719","https://openalex.org/W4391216528","https://openalex.org/W2980748541","https://openalex.org/W4399581288","https://openalex.org/W4313123484"],"abstract_inverted_index":{"In":[0],"order":[1],"to":[2,42,61,101],"solve":[3],"the":[4,30,44,48,52,65,70,76,80,86,94,103,107,116,120,127,132],"problem":[5],"of":[6,11,79,96,106,119,126,134],"low":[7],"displacement":[8,19,32,109],"prediction":[9,20,117,129],"accuracy":[10,118],"key":[12],"components":[13],"in":[14],"bridge":[15,18,121],"engineering,":[16],"a":[17],"algorithm":[21],"based":[22],"on":[23],"improved":[24],"ARIMA":[25,135],"model":[26,57,91,98,130],"is":[27,34,59,83,122],"proposed.":[28],"Firstly,":[29],"non-stationary":[31],"data":[33],"decomposed":[35],"into":[36],"multiple":[37],"layers":[38],"by":[39,85],"wavelet":[40],"transform":[41],"obtain":[43,102],"detail":[45,67],"coefficient":[46,68],"and":[47,63,69,136],"approximation":[49,73],"coefficient.":[50,74],"Then":[51],"differential":[53],"autoregressive":[54],"moving":[55],"average":[56],"(ARIMA)":[58],"used":[60],"predict":[62],"reconstruct":[64],"multi-layer":[66],"highest":[71],"layer":[72],"Then,":[75],"residual":[77],"part":[78],"reconstructed":[81],"sequence":[82,105],"predicted":[84,104],"optimized":[87],"support":[88],"vector":[89],"machine":[90],"(SVM).":[92],"Finally,":[93],"results":[95,113],"each":[97],"are":[99],"added":[100],"original":[108],"data.":[110],"The":[111],"simulation":[112],"show":[114],"that":[115,125],"better":[123],"than":[124],"traditional":[128],"through":[131],"combination":[133],"SVM.":[137]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}