{"id":"https://openalex.org/W4414760455","doi":"https://doi.org/10.1145/3711875.3736671","title":"Time-sensitive AI System for Physical Agents","display_name":"Time-sensitive AI System for Physical Agents","publication_year":2025,"publication_date":"2025-06-23","ids":{"openalex":"https://openalex.org/W4414760455","doi":"https://doi.org/10.1145/3711875.3736671"},"language":"en","primary_location":{"id":"doi:10.1145/3711875.3736671","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711875.3736671","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711875.3736671","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3711875.3736671","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049748462","display_name":"Neiwen Ling","orcid":"https://orcid.org/0000-0003-2072-1502"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Neiwen Ling","raw_affiliation_strings":["Yale University, New Haven, CT, USA"],"affiliations":[{"raw_affiliation_string":"Yale University, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049748462"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35093946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"671","last_page":"672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.984000027179718,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9811000227928162,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9686999917030334,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5019000172615051},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.43970000743865967},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.43799999356269836},{"id":"https://openalex.org/keywords/intelligent-decision-support-system","display_name":"Intelligent decision support system","score":0.41280001401901245},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.37439998984336853},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.35920000076293945},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.35280001163482666},{"id":"https://openalex.org/keywords/physical-system","display_name":"Physical system","score":0.3395000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6854000091552734},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5447999835014343},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5019000172615051},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.43799999356269836},{"id":"https://openalex.org/C56397880","wikidata":"https://www.wikidata.org/wiki/Q6044094","display_name":"Intelligent decision support system","level":2,"score":0.41280001401901245},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.35920000076293945},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.35280001163482666},{"id":"https://openalex.org/C116672817","wikidata":"https://www.wikidata.org/wiki/Q1454986","display_name":"Physical system","level":2,"score":0.3395000100135803},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.32330000400543213},{"id":"https://openalex.org/C207453521","wikidata":"https://www.wikidata.org/wiki/Q4801079","display_name":"Artificial intelligence, situated approach","level":2,"score":0.3222000002861023},{"id":"https://openalex.org/C74072328","wikidata":"https://www.wikidata.org/wiki/Q1142726","display_name":"Intelligent agent","level":2,"score":0.32109999656677246},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.320499986410141},{"id":"https://openalex.org/C30112582","wikidata":"https://www.wikidata.org/wiki/Q712503","display_name":"Artificial Intelligence System","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C58328972","wikidata":"https://www.wikidata.org/wiki/Q184609","display_name":"Expert system","level":2,"score":0.2831999957561493},{"id":"https://openalex.org/C179768478","wikidata":"https://www.wikidata.org/wiki/Q1120057","display_name":"Cyber-physical system","level":2,"score":0.2703999876976013},{"id":"https://openalex.org/C13687954","wikidata":"https://www.wikidata.org/wiki/Q4826847","display_name":"Autonomous agent","level":2,"score":0.2637999951839447},{"id":"https://openalex.org/C137703981","wikidata":"https://www.wikidata.org/wiki/Q4692093","display_name":"Agent architecture","level":3,"score":0.2612000107765198},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3711875.3736671","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711875.3736671","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711875.3736671","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3711875.3736671","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3711875.3736671","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3711875.3736671","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 23rd Annual International Conference on Mobile Systems, Applications and Services","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414760455.pdf","grobid_xml":"https://content.openalex.org/works/W4414760455.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W3212621679","https://openalex.org/W4317927946","https://openalex.org/W4320060064","https://openalex.org/W4372271753","https://openalex.org/W4399121574"],"related_works":[],"abstract_inverted_index":{"The":[0],"integration":[1],"of":[2],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"into":[6],"physical":[7,44,78],"agents,":[8],"such":[9,42],"as":[10],"drones,":[11],"robots,":[12],"and":[13,24],"autonomous":[14],"vehicles,":[15],"demands":[16],"not":[17],"only":[18],"intelligence":[19],"but":[20],"also":[21],"timely":[22],"perception":[23],"decision-making.":[25],"This":[26],"work":[27],"presents":[28],"a":[29],"time-sensitive":[30,63],"AI":[31],"system":[32],"architecture":[33],"that":[34,50],"addresses":[35],"the":[36],"critical":[37],"timing":[38],"challenges":[39],"inherent":[40],"in":[41],"intelligent":[43],"agents.":[45],"We":[46],"propose":[47],"system-level":[48],"designs":[49],"enable":[51],"deadline-aware":[52],"Deep":[53],"Neural":[54],"Network":[55],"(DNN)":[56],"execution":[57],"on":[58,69],"edge/embedded":[59],"platforms,":[60],"along":[61],"with":[62],"Large":[64],"Language":[65],"Model":[66],"(LLM)":[67],"serving":[68],"edge":[70],"servers,":[71],"thereby":[72],"providing":[73],"end-to-end":[74],"support":[75],"for":[76],"time-critical":[77],"intelligence.":[79]},"counts_by_year":[],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}
