{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:30:07Z","timestamp":1742913007312,"version":"3.40.3"},"publisher-location":"Cham","reference-count":15,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030678739"},{"type":"electronic","value":"9783030678746"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-67874-6_35","type":"book-chapter","created":{"date-parts":[[2021,1,29]],"date-time":"2021-01-29T06:40:22Z","timestamp":1611902422000},"page":"379-388","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Target Tracking Algorithm for Multi-channel Information Transmission in Large Data Environment"],"prefix":"10.1007","author":[{"given":"Zhu","family":"Xiao-gang","sequence":"first","affiliation":[]},{"given":"Yu","family":"Zhi-wei","sequence":"additional","affiliation":[]},{"given":"Lei","family":"Tao","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,29]]},"reference":[{"key":"35_CR1","first-page":"429","volume":"3","author":"X Weibo","year":"2018","unstructured":"Weibo, X., Yuanxiang, X., Wen, L.: Target tracking algorithm using complementary features of kernel correlation filtering. J. Overseas Chin. Univ. Natural Sci. Edition 3, 429\u2013434 (2018)","journal-title":"J. Overseas Chin. Univ. Natural Sci. Edition"},{"issue":"1","key":"35_CR2","first-page":"151","volume":"44","author":"Z Ridong","year":"2018","unstructured":"Ridong, Z., Xiaoyuan, Y., Jingkai, W.: Target tracking algorithm based on Fourier domain convolution representation. J. Beijing Univ. Aeronaut. Astronaut. 44(1), 151\u2013159 (2018)","journal-title":"J. Beijing Univ. Aeronaut. Astronaut."},{"issue":"6","key":"35_CR3","first-page":"909","volume":"31","author":"W Jizhou","year":"2017","unstructured":"Jizhou, W., Changhua, L., Weiwei, J.: A multi-moving target tracking algorithm based on random field. J. Electron. Meas. Instrum. 31(6), 909\u2013913 (2017)","journal-title":"J. Electron. Meas. Instrum."},{"issue":"6","key":"35_CR4","first-page":"909","volume":"31","author":"W Jizhou","year":"2017","unstructured":"Jizhou, W., Changhua, L., Weiwei, J.: A multi-moving target tracking algorithm based on random field. J. Electron. Measur. Instrum. 31(6), 909\u2013913 (2017)","journal-title":"J. Electron. Measur. Instrum."},{"key":"35_CR5","unstructured":"Xiaoshu, C., Zexi, H., Yuefang, G. et al.: Real-time target tracking algorithm integrating color and space-time context information. Minicomputer Syst. 38(3), 630\u2013634 (2017)"},{"key":"35_CR6","first-page":"42","volume":"5","author":"Z Wu","year":"2017","unstructured":"Wu, Z., Dongliang, P., Gang, R., et al.: Multi-sensor Management Algorithms for Joint Information Increment and Covariance Control of R NYI. Fire Command Control 5, 42\u201346 (2017)","journal-title":"Fire Command Control"},{"key":"35_CR7","unstructured":"Pei-man, Z., Jian, Z., Zebin, Z., et al.: Dynamic programming pre-detection tracking algorithm based on neural network. Modern Radar 39(11), 34\u201338 (2017)"},{"issue":"9","key":"35_CR8","first-page":"18","volume":"42","author":"M Front","year":"2017","unstructured":"Front, M., Chengwei, W., Huajie, C.: Multi-sensor multi-tracking task management method based on tracking continuity. Firepower Command Control 42(9), 18\u201320 (2017)","journal-title":"Firepower Command Control"},{"key":"35_CR9","first-page":"183","volume":"3","author":"Z Mengdi","year":"2018","unstructured":"Mengdi, Z., Hongxing, L., Yi, L., et al.: A non-orthogonal multi-carrier modulation technology in space-based Internet of Things. Radio Eng. 3, 183\u2013187 (2018)","journal-title":"Radio Eng."},{"key":"35_CR10","doi-asserted-by":"publisher","first-page":"120","DOI":"10.3389\/fgene.2019.00120","volume":"10","author":"S Liu","year":"2019","unstructured":"Liu, S., Lu, M., Li, H., et al.: Prediction of Gene Expression Patterns with Generalized Linear Regression model. Frontiers Genet. 10, 120 (2019)","journal-title":"Frontiers Genet."},{"key":"35_CR11","doi-asserted-by":"publisher","first-page":"29283","DOI":"10.1109\/ACCESS.2018.2834916","volume":"6","author":"G Liu","year":"2018","unstructured":"Liu, G., Liu, S., Muhammad, K., et al.: Object tracking in vary lighting conditions for fog based intelligent surveillance of public spaces. IEEE Access 6, 29283\u201329296 (2018)","journal-title":"IEEE Access"},{"issue":"10","key":"35_CR12","first-page":"2149","volume":"14","author":"G Wei","year":"2018","unstructured":"Wei, G., Huqiang, L.: Cyclic linear 2-D table sorting algorithm for multi-channel video streaming transmission. Chin. J. Image Graph. 14(10), 2149\u20132153 (2018)","journal-title":"Chin. J. Image Graph."},{"issue":"4","key":"35_CR13","doi-asserted-by":"publisher","first-page":"322","DOI":"10.1109\/TETCI.2018.2865205","volume":"3","author":"AK Kar","year":"2019","unstructured":"Kar, A.K., Dhar, N.K., Mishra, P.K., et al.: Relative vehicle displacement approach for path tracking adaptive controller with multisampling data transmission. IEEE Trans. Emerg. Topics Comput. Intell. 3(4), 322\u2013336 (2019)","journal-title":"IEEE Trans. Emerg. Topics Comput. Intell."},{"key":"35_CR14","unstructured":"Liu, S., Glowatz, M., Zappatore, M., Gao, H., Gao, B., Bucciero, A.: E-Learning, E-Education, and Online Training, pp. 1\u2013374, Springer, Bethesda (2014)"},{"key":"35_CR15","doi-asserted-by":"crossref","unstructured":"Huang, N.E., Qiao, F.: A data driven time-dependent transmission rate for tracking an epidemic: a case study of 2019-nCoV. Sci. Bull. 65(6), 425\u2013427 (2020)","DOI":"10.1016\/j.scib.2020.02.005"}],"container-title":["Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering","Advanced Hybrid Information Processing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-67874-6_35","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,24]],"date-time":"2021-04-24T19:53:34Z","timestamp":1619294014000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-67874-6_35"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030678739","9783030678746"],"references-count":15,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-67874-6_35","relation":{},"ISSN":["1867-8211","1867-822X"],"issn-type":[{"type":"print","value":"1867-8211"},{"type":"electronic","value":"1867-822X"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"29 January 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ADHIP","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Advanced Hybrid Information Processing","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Binzhou","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2020","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"26 September 2020","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 September 2020","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"adhip2020","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/adhip.eai-conferences.org\/2020\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"confyplus.eai.eu","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"190","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"89","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"0","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"47% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"The conference was held virtually due to COVID-19 pandemic.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}