{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,31]],"date-time":"2026-01-31T17:48:46Z","timestamp":1769881726118,"version":"3.49.0"},"reference-count":30,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[2018,5,18]],"date-time":"2018-05-18T00:00:00Z","timestamp":1526601600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["NSFC-61471067"],"award-info":[{"award-number":["NSFC-61471067"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the National Great Science Specific Project","award":["2015ZX03002008"],"award-info":[{"award-number":["2015ZX03002008"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Ambient Intell Human Comput"],"published-print":{"date-parts":[[2019,3]]},"DOI":"10.1007\/s12652-018-0853-9","type":"journal-article","created":{"date-parts":[[2018,5,18]],"date-time":"2018-05-18T12:39:51Z","timestamp":1526647191000},"page":"829-839","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":19,"title":["Deep learning based smart radar vision system for object recognition"],"prefix":"10.1007","volume":"10","author":[{"given":"Zhigang","family":"Wen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dan","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4904-8094","authenticated-orcid":false,"given":"Xiaoqing","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ling","family":"Zhong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"You","family":"Lv","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yinglin","family":"Jia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,5,18]]},"reference":[{"key":"853_CR1","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1109\/MSP.2015.2502784","volume":"33","author":"MG Amin","year":"2016","unstructured":"Amin MG, Zhang YD, Ahmad F, Ho KCD (2016) Radar signal processing for elderly fall detection: the future for in-home monitoring. IEEE Signal Process Mag 33:71\u201380","journal-title":"IEEE Signal Process Mag"},{"key":"#cr-split#-853_CR2.1","unstructured":"Bauernhansl T (2013) Industry 4.0: challenges and limitations in the production"},{"key":"#cr-split#-853_CR2.2","unstructured":"Keynote. In: ATKearney factory of the year 2013. S\u00fcddeutscher Verlag Veranstaltungen, Landsberg, 38 Slides"},{"key":"853_CR3","unstructured":"Buyun S, Xiyan Y, Chenglei Z et al (2018) A rapid virtual assembly approach for 3D models of production line equipment based on the smart recognition of assembly features. J Ambient Intell Humaniz Comput 2018:1\u201314"},{"key":"853_CR4","unstructured":"Christian S, Wei L, Yangqing J, Pierre S et al (2015) Going deeper with convolutions. Computer vision and pattern recognition, pp\u00a01\u201312"},{"key":"853_CR5","doi-asserted-by":"publisher","unstructured":"He K, Zhang X, Ren S, Sun J (2016) Deep residual learning for image recognition. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR). Las Vegas, NV, pp 770\u2013778. \n                    https:\/\/doi.org\/10.1109\/CVPR.2016.90","DOI":"10.1109\/CVPR.2016.90"},{"key":"853_CR6","unstructured":"Helge L (2016) Ultra-wideband radar simulator for classifying humans and animals based on micro-doppler signatures. Dissertation, Norwegian University of Science and Technology"},{"key":"853_CR7","unstructured":"Ioffe S, Szegedy C (2015) Batch normalization: accelerating deep network training by reducing internal covariate shift, pp\u00a0448\u2013456"},{"key":"853_CR8","doi-asserted-by":"publisher","unstructured":"Kianoush S, Savazzi S, Vicentini F, Rampa V, Giussani M (2015) Leveraging RF signals for human sensing: fall detection and localization in human-machine shared workspaces. In: 2015 IEEE 13th international conference on industrial informatics (INDIN). Cambridge, pp 1456\u20131462. \n                    https:\/\/doi.org\/10.1109\/INDIN.2015.7281947","DOI":"10.1109\/INDIN.2015.7281947"},{"key":"853_CR9","first-page":"370","volume-title":"Object recognition and visual servoing: two case studies of employing fuzzy techniques in robot vision. Fuzzy techniques in image processing","author":"A Knoll","year":"2000","unstructured":"Knoll A, Zhang J, Graf T, Wolfram A (2000) Object recognition and visual servoing: two case studies of employing fuzzy techniques in robot vision. Fuzzy techniques in image processing. Physica-Verlag, Heidelberg, pp 370\u2013393"},{"key":"853_CR10","unstructured":"Krizhevsky A, Sutskever I, Hinton GE (2012) ImageNet classification with deep convolutional neural networks. International Conference on Neural Information Processing Systems, vol 60. Curran Associates Inc., pp 1097\u20131105"},{"key":"853_CR001","doi-asserted-by":"publisher","first-page":"667","DOI":"10.1007\/s00170-015-7151-x","volume":"81","author":"J Li","year":"2015","unstructured":"Li J, Tao F, Cheng Y et al (2015) Big data in product lifecycle management. Int J Adv Manuf Technol 81:667\u2013684","journal-title":"Int J Adv Manuf Technol"},{"key":"853_CR11","first-page":"767","volume-title":"The paradigm shift in smart manufacturing system architecture. IFIP International Conference on Advances in Production Management Systems","author":"Y Lu","year":"2016","unstructured":"Lu Y, Riddick F, Ivezic N (2016) The paradigm shift in smart manufacturing system architecture. IFIP International Conference on Advances in Production Management Systems. Springer, Cham, pp\u00a0767\u2013776"},{"key":"853_CR12","doi-asserted-by":"publisher","first-page":"1389","DOI":"10.1109\/TIM.2010.2086830","volume":"60","author":"H Mextorf","year":"2011","unstructured":"Mextorf H, Daschner F, Kent M, Knochel RH (2011) UWB free-space characterization and shape recognition of dielectric objects using statistical methods. IEEE Trans Instrum Meas 60:1389\u20131396","journal-title":"IEEE Trans Instrum Meas"},{"key":"853_CR13","first-page":"1","volume":"5","author":"JJ Rainer","year":"2017","unstructured":"Rainer JJ, Cobos-Guzman S, Gal\u00e1n R (2017) Decision making algorithm for an autonomous guide-robot using fuzzy logic. J Ambient Intell Human Comput 5:1\u201313","journal-title":"J Ambient Intell Human Comput"},{"key":"853_CR14","first-page":"1","volume":"3","author":"JA Saucedo-Mart\u00ednez","year":"2017","unstructured":"Saucedo-Mart\u00ednez JA, P\u00e9rez-Lara M, Marmolejo-Saucedo JA, Salais-Fierro TE, Vasant P (2017) Industry 4.0 framework for management and operations: a review. J Ambient Intell Human Comput 3:1\u201313","journal-title":"J Ambient Intell Human Comput"},{"key":"853_CR15","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/s10846-005-3508-y","volume":"41","author":"F Stefan","year":"2005","unstructured":"Stefan F (2005) Video based indoor exploration with autonomous and mobile robots. J Intell Rob Syst 41:245\u2013262","journal-title":"J Intell Rob Syst"},{"key":"853_CR16","doi-asserted-by":"publisher","first-page":"188","DOI":"10.1016\/j.neucom.2016.11.023","volume":"225","author":"P Tang","year":"2016","unstructured":"Tang P, Wang H, Kwong S (2016) G-MS2F: googlenet based multi-stage feature fusion of deep cnn for scene recognition. Neurocomputing 225:188\u2013197","journal-title":"Neurocomputing"},{"key":"853_CR17","first-page":"1","volume":"99","author":"F Tao","year":"2017","unstructured":"Tao F, Qi Q (2017) New IT driven service-oriented smart manufacturing: framework and characteristics. IEEE Trans Syst Man Cybern Syst 99:1\u201311","journal-title":"IEEE Trans Syst Man Cybern Syst"},{"key":"853_CR002","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1109\/TII.2008.2009533","volume":"4","author":"F Tao","year":"2008","unstructured":"Tao F, Zhao D, Hu Y et al (2008) Resource service composition and its optimal-selection based on particle swarm optimization in manufacturing grid system. IEEE Trans Ind Inf 4:315\u2013327","journal-title":"IEEE Trans Ind Inf"},{"key":"853_CR003","doi-asserted-by":"publisher","first-page":"373","DOI":"10.1080\/17517575.2011.621981","volume":"6","author":"F Tao","year":"2012","unstructured":"Tao F, Guo H, Zhang L et al (2012) Modelling of combinable relationship-based composition service network and the theoretical proof of its scale-free characteristics. Enterp Inf Syst 6:373\u2013404","journal-title":"Enterp Inf Syst"},{"key":"853_CR004","doi-asserted-by":"publisher","first-page":"1547","DOI":"10.1109\/TII.2013.2255061","volume":"10","author":"F Tao","year":"2014","unstructured":"Tao F, Zuo Y, Xu LD et al (2014) IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Trans Ind Inf 10:1547\u20131557","journal-title":"IEEE Trans Ind Inf"},{"key":"853_CR18","first-page":"1","volume":"99","author":"F Tao","year":"2017","unstructured":"Tao F, Cheng JF, Qi Q (2017a) IIHub: an industrial internet-of-things hub towards smart manufacturing based on cyber-physical system. IEEE Trans Ind Inf 99:1\u20131","journal-title":"IEEE Trans Ind Inf"},{"key":"853_CR19","doi-asserted-by":"publisher","first-page":"34","DOI":"10.1016\/j.rcim.2016.07.001","volume":"45","author":"F Tao","year":"2017","unstructured":"Tao F, Cheng J, Cheng Y et al (2017b) SDMSim: a manufacturing service supply\u2013demand matching simulator under cloud environment. Robot Comput Integr Manuf 45:34\u201346","journal-title":"Robot Comput Integr Manuf"},{"key":"853_CR005","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmsy.2018.01.006","author":"F Tao","year":"2018","unstructured":"Tao F, Qi Q, Liu A et al (2018a) Data-driven smart manufacturing. J Manuf Syst. \n                    https:\/\/doi.org\/10.1016\/j.jmsy.2018.01.006","journal-title":"J Manuf Syst"},{"key":"853_CR20","first-page":"1","volume":"2017","author":"F Tao","year":"2018","unstructured":"Tao F, Cheng JF, Qi Q, Zhang M et al (2018b) Digital twin driven product design, manufacturing and service with big data. Int J Adv Manuf Technol 2017:1\u201314","journal-title":"Int J Adv Manuf Technol"},{"key":"853_CR21","first-page":"57","volume":"371","author":"H Yang","year":"2013","unstructured":"Yang H, Baradat C, Krut S, Pierrot F (2013) An agile manufacturing system for large workspace applications. Robotics in smart manufacturing. Commun Comput Inf Sci 371:57\u201370","journal-title":"Commun Comput Inf Sci"},{"key":"853_CR22","first-page":"818","volume-title":"Visualizing and understanding convolutional networks. European Conference on Computer Vision","author":"MD Zeiler","year":"2014","unstructured":"Zeiler MD, Fergus R (2014) Visualizing and understanding convolutional networks. European Conference on Computer Vision, vol 8689. Springer, Cham, pp 818\u2013833"},{"key":"853_CR23","doi-asserted-by":"publisher","unstructured":"Zhou Z, Zhang J, Zhang YD (2016) Ultra-wideband radar and vision based human motion classification for assisted living. In: Sensor array and multichannel signal processing workshop (SAM). IEEE, Rio de Janerio, pp 1\u20135. \n                    https:\/\/doi.org\/10.1109\/SAM.2016.7569747","DOI":"10.1109\/SAM.2016.7569747"},{"key":"853_CR24","first-page":"1","volume":"8","author":"XZ Zhou","year":"2017","unstructured":"Zhou XZ, Xie L, Zhang P, Zhang YN (2017) Online object tracking based on BLSTM-RNN with contextual-sequential labeling. J Ambient Intell Humaniz Comput 8:1\u201310","journal-title":"J Ambient Intell Humaniz Comput"}],"container-title":["Journal of Ambient Intelligence and Humanized Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s12652-018-0853-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-018-0853-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s12652-018-0853-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,17]],"date-time":"2019-05-17T21:42:12Z","timestamp":1558129332000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s12652-018-0853-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,5,18]]},"references-count":30,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2019,3]]}},"alternative-id":["853"],"URL":"https:\/\/doi.org\/10.1007\/s12652-018-0853-9","relation":{},"ISSN":["1868-5137","1868-5145"],"issn-type":[{"value":"1868-5137","type":"print"},{"value":"1868-5145","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,5,18]]},"assertion":[{"value":"31 January 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 May 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 May 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}