{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T10:31:24Z","timestamp":1771065084052,"version":"3.50.1"},"reference-count":36,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2020,6,1]],"date-time":"2020-06-01T00:00:00Z","timestamp":1590969600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Future Generation Computer Systems"],"published-print":{"date-parts":[[2020,6]]},"DOI":"10.1016\/j.future.2017.05.028","type":"journal-article","created":{"date-parts":[[2017,8,6]],"date-time":"2017-08-06T10:00:47Z","timestamp":1502013647000},"page":"988-997","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":34,"special_numbering":"C","title":["A lightweight and aggregated system for indoor\/outdoor detection using smart devices"],"prefix":"10.1016","volume":"107","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5499-6059","authenticated-orcid":false,"given":"Shengnan","family":"Li","sequence":"first","affiliation":[]},{"given":"Zheng","family":"Qin","sequence":"additional","affiliation":[]},{"given":"Houbing","family":"Song","sequence":"additional","affiliation":[]},{"given":"Chengxiang","family":"Si","sequence":"additional","affiliation":[]},{"given":"Bo","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Xiao","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Renwei","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/j.future.2017.05.028_b1","unstructured":"Statistical data, https:\/\/www.statista.com\/."},{"key":"10.1016\/j.future.2017.05.028_b2","series-title":"Proceedings of the 38th International Conference on Software Engineering Companion","first-page":"112","article-title":"Use runtime verification to improve the quality of medical care practice","author":"Jiang","year":"2016"},{"key":"10.1016\/j.future.2017.05.028_b3","doi-asserted-by":"crossref","unstructured":"O. Canovas, P.E. Lopez-de Teruel, A. Ruiz, WiFiBoost: a terminal-based method for detection of indoor\/outdoor places, in: Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, 2014, pp. 352\u2013353.","DOI":"10.4108\/icst.mobiquitous.2014.258063"},{"key":"10.1016\/j.future.2017.05.028_b4","unstructured":"H. Cho, J. Song, H. Park, C. Hwang, Deterministic indoor detection from dispersions of GPS satellites on the celestial sphere, 2014."},{"issue":"2","key":"10.1016\/j.future.2017.05.028_b5","first-page":"28","article-title":"IODetector: A generic service for indoor\/outdoor detection","volume":"11","author":"Li","year":"2015","journal-title":"ACM Trans. Sens. Netw. (TOSN)"},{"key":"10.1016\/j.future.2017.05.028_b6","series-title":"Proceedings of the 12th ACM Conference on Embedded Network Sensor Systems","first-page":"280","article-title":"A semi-supervised learning approach for robust indoor-outdoor detection with smartphones","author":"Radu","year":"2014"},{"key":"10.1016\/j.future.2017.05.028_b7","series-title":"Advances in Neural Information Processing Systems","first-page":"1185","article-title":"Semi-markov conditional random fields for information extraction","author":"Sarawagi","year":"2004"},{"issue":"2","key":"10.1016\/j.future.2017.05.028_b8","doi-asserted-by":"crossref","first-page":"444","DOI":"10.1109\/TMC.2014.2320254","article-title":"Smartphones based crowdsourcing for indoor localization","volume":"14","author":"Wu","year":"2015","journal-title":"IEEE Trans. Mob. Comput."},{"issue":"6","key":"10.1016\/j.future.2017.05.028_b9","doi-asserted-by":"crossref","first-page":"701","DOI":"10.1023\/B:WINE.0000044029.06344.dd","article-title":"Landmarc: indoor location sensing using active RFID","volume":"10","author":"Ni","year":"2004","journal-title":"Wirel. Netw."},{"key":"10.1016\/j.future.2017.05.028_b10","series-title":"Proceedings of the 10th International Conference on Mobile Systems, Applications, and Services","first-page":"197","article-title":"No need to war-drive: unsupervised indoor localization","author":"Wang","year":"2012"},{"key":"10.1016\/j.future.2017.05.028_b11","series-title":"Proceedings of the 18th Annual International Conference on Mobile Computing and Networking","first-page":"293","article-title":"Zee: zero-effort crowdsourcing for indoor localization","author":"Rai","year":"2012"},{"key":"10.1016\/j.future.2017.05.028_b12","doi-asserted-by":"crossref","first-page":"372425","DOI":"10.1155\/2015\/372425","article-title":"Trail: Pinpoint trajectory for indoor localization","volume":"501","author":"Li","year":"2015","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"10.1016\/j.future.2017.05.028_b13","series-title":"Proceedings of the 7th International Conference on Mobile Systems, Applications, and Services","first-page":"221","article-title":"Entracked: energy-efficient robust position tracking for mobile devices","author":"Kj\u00e6rgaard","year":"2009"},{"issue":"1","key":"10.1016\/j.future.2017.05.028_b14","doi-asserted-by":"crossref","first-page":"131","DOI":"10.1109\/TPDS.2014.2308225","article-title":"Human mobility enhances global positioning accuracy for mobile phone localization","volume":"26","author":"Wu","year":"2015","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"key":"10.1016\/j.future.2017.05.028_b15","series-title":"Proceedings of the 11th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services","first-page":"40","article-title":"Senseme: a system for continuous, on-device, and multi-dimensional context and activity recognition","author":"Bhargava","year":"2014"},{"key":"10.1016\/j.future.2017.05.028_b16","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1016\/j.pmcj.2014.12.006","article-title":"Spatio-temporal facility utilization analysis from exhaustive WiFi monitoring","volume":"16","author":"Prentow","year":"2015","journal-title":"Pervasive Mob. Comput."},{"key":"10.1016\/j.future.2017.05.028_b17","series-title":"Adjunct Proceedings of ACM International Joint Conference on Pervasive and Ubiquitous Computing","first-page":"257","article-title":"Improving GPS-based indoor-outdoor detection with moving direction information from smartphone","author":"Okamoto","year":"2015"},{"issue":"7","key":"10.1016\/j.future.2017.05.028_b18","doi-asserted-by":"crossref","first-page":"1495","DOI":"10.1109\/TMC.2013.108","article-title":"Flight: Clock calibration and context recognition using fluorescent lighting","volume":"13","author":"Li","year":"2014","journal-title":"IEEE Trans. Mob. Comput."},{"key":"10.1016\/j.future.2017.05.028_b19","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.procs.2015.07.194","article-title":"An energy-efficient and robust indoor-outdoor detection method based on cell identity map","volume":"56","author":"Liu","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"10.1016\/j.future.2017.05.028_b20","series-title":"2015 International Wireless Communications and Mobile Computing Conference","first-page":"137","article-title":"A simple ultrasonic Indoor\/Outdoor detector for mobile devices","author":"Bisio","year":"2015"},{"issue":"3","key":"10.1016\/j.future.2017.05.028_b21","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1016\/j.icte.2016.02.001","article-title":"Sound based indoor and outdoor environment detection for seamless positioning handover","volume":"1","author":"Sung","year":"2015","journal-title":"ICT Express"},{"issue":"10","key":"10.1016\/j.future.2017.05.028_b22","doi-asserted-by":"crossref","first-page":"1563","DOI":"10.3390\/s16101563","article-title":"Indoor-outdoor detection using a smart phone sensor","volume":"16","author":"Wang","year":"2016","journal-title":"Sensors"},{"key":"10.1016\/j.future.2017.05.028_b23","series-title":"Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing","first-page":"232","article-title":"Towards area classification for large-scale fingerprint-based system","author":"He","year":"2016"},{"issue":"11","key":"10.1016\/j.future.2017.05.028_b24","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.1109\/JSAC.2015.2430294","article-title":"Non-invasive detection of moving and stationary human with wifi","volume":"33","author":"Wu","year":"2015","journal-title":"IEEE J. Sel. Areas Commun."},{"key":"10.1016\/j.future.2017.05.028_b25","series-title":"Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems","first-page":"246","article-title":"Pbn: towards practical activity recognition using smartphone-based body sensor networks","author":"Keally","year":"2011"},{"key":"10.1016\/j.future.2017.05.028_b26","series-title":"Proceedings of the 20th MobiCom Conference","first-page":"617","article-title":"E-eyes: device-free location-oriented activity identification using fine-grained WiFi signatures","author":"Wang","year":"2014"},{"issue":"1","key":"10.1016\/j.future.2017.05.028_b27","doi-asserted-by":"crossref","first-page":"101","DOI":"10.1109\/THMS.2015.2489688","article-title":"Toward personalized activity recognition systems with a semipopulation approach","volume":"46","author":"Hong","year":"2016","journal-title":"IEEE Trans. Hum.-Mach. Syst."},{"key":"10.1016\/j.future.2017.05.028_b28","article-title":"The return of AdaBoost.MH: multi-class Hamming trees","author":"Kgl","year":"2013","journal-title":"Comput. Sci."},{"key":"10.1016\/j.future.2017.05.028_b29","unstructured":"J. Lafferty, A. McCallum, F. Pereira, Conditional random fields: Probabilistic models for segmenting and labeling sequence data, in: Proceedings of the 18th International Conference on Machine Learning, ICML, Vol. 1, 2001, pp. 282\u2013289."},{"key":"10.1016\/j.future.2017.05.028_b30","article-title":"Data-centered runtime verification of wireless medical cyber-physical system","author":"Jiang","year":"2016","journal-title":"IEEE Trans. Ind. Inf."},{"issue":"11","key":"10.1016\/j.future.2017.05.028_b31","doi-asserted-by":"crossref","first-page":"5325","DOI":"10.1109\/TIE.2012.2225393","article-title":"Bayesian-network-based reliability analysis of PLC systems","volume":"60","author":"Jiang","year":"2013","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"2","key":"10.1016\/j.future.2017.05.028_b32","doi-asserted-by":"crossref","first-page":"226","DOI":"10.1007\/s10489-010-0216-5","article-title":"Semi-Markov conditional random fields for accelerometer-based activity recognition","volume":"35","author":"Lee","year":"2011","journal-title":"Appl. Intell."},{"key":"10.1016\/j.future.2017.05.028_b33","series-title":"2016 IEEE Real-Time and Embedded Technology and Applications Symposium","first-page":"1","article-title":"From stateflow simulation to verified implementation: A verification approach and a real-time train controller design","author":"Jiang","year":"2016"},{"issue":"2","key":"10.1016\/j.future.2017.05.028_b34","doi-asserted-by":"crossref","first-page":"1270","DOI":"10.1109\/TIE.2014.2316234","article-title":"Design and optimization of multiclocked embedded systems using formal techniques","volume":"62","author":"Jiang","year":"2015","journal-title":"IEEE Trans. Ind. Electron."},{"issue":"8","key":"10.1016\/j.future.2017.05.028_b35","doi-asserted-by":"crossref","first-page":"2220","DOI":"10.1109\/TPDS.2014.2346171","article-title":"Design of mixed synchronous\/asynchronous systems with multiple clocks","volume":"26","author":"Jiang","year":"2015","journal-title":"IEEE Trans. Parallel Distrib. Syst."},{"issue":"10","key":"10.1016\/j.future.2017.05.028_b36","doi-asserted-by":"crossref","first-page":"2563","DOI":"10.1109\/TC.2013.124","article-title":"Symbolic analysis of programmable logic controllers","volume":"63","author":"Zhang","year":"2014","journal-title":"IEEE Trans. Comput."}],"container-title":["Future Generation Computer Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X1730506X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0167739X1730506X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,9,29]],"date-time":"2025-09-29T04:22:47Z","timestamp":1759119767000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0167739X1730506X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6]]},"references-count":36,"alternative-id":["S0167739X1730506X"],"URL":"https:\/\/doi.org\/10.1016\/j.future.2017.05.028","relation":{},"ISSN":["0167-739X"],"issn-type":[{"value":"0167-739X","type":"print"}],"subject":[],"published":{"date-parts":[[2020,6]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"A lightweight and aggregated system for indoor\/outdoor detection using smart devices","name":"articletitle","label":"Article Title"},{"value":"Future Generation Computer Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.future.2017.05.028","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2017 Published by Elsevier B.V.","name":"copyright","label":"Copyright"}]}}