{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:47:16Z","timestamp":1750308436902,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,12,16]],"date-time":"2022-12-16T00:00:00Z","timestamp":1671148800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,12,16]]},"DOI":"10.1145\/3584376.3584604","type":"proceedings-article","created":{"date-parts":[[2023,4,19]],"date-time":"2023-04-19T22:54:51Z","timestamp":1681944891000},"page":"1294-1297","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Research on Improved RFID Indoor Location Algorithm Based on LANDMARC"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4734-6562","authenticated-orcid":false,"given":"Honghe","family":"Wei","sequence":"first","affiliation":[{"name":"Shanghai Research and Development Center, ZTE Corporation, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3752-3772","authenticated-orcid":false,"given":"Dong","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Urban Operation and Management, Shanghai Urban Construction Vocational College, China"}]}],"member":"320","published-online":{"date-parts":[[2023,4,19]]},"reference":[{"key":"e_1_3_2_1_1_1","first-page":"138","article-title":"Sensor fusion for indoor positioning system through improved RSSI and PDR methods[J]","author":"Hamidreza Mehrabian","year":"2023","unstructured":"Mehrabian Hamidreza , Ravanmehr Reza . Sensor fusion for indoor positioning system through improved RSSI and PDR methods[J] . Future Generation Computer Systems , 2023 , 138 . Mehrabian Hamidreza, Ravanmehr Reza. Sensor fusion for indoor positioning system through improved RSSI and PDR methods[J]. Future Generation Computer Systems, 2023, 138.","journal-title":"Future Generation Computer Systems"},{"key":"e_1_3_2_1_2_1","volume-title":"Sensors","author":"Jeonghyeon Yoon","year":"2022","unstructured":"Yoon Jeonghyeon , Kim Seungku . Practical and Accurate Indoor Localization System Using Deep Learning [J] . Sensors , 2022 , 22(18). Yoon Jeonghyeon, Kim Seungku. Practical and Accurate Indoor Localization System Using Deep Learning [J]. Sensors, 2022, 22(18)."},{"key":"e_1_3_2_1_3_1","volume-title":"Multimedia Tools and Applications","author":"Labinghisa Boney","year":"2022","unstructured":"Labinghisa Boney A., Lee Dong Myung . Indoor localization system using deep learning based scene recognition [J] . Multimedia Tools and Applications , 2022 , 81(20). Labinghisa Boney A., Lee Dong Myung. Indoor localization system using deep learning based scene recognition [J]. Multimedia Tools and Applications, 2022, 81(20)."},{"key":"e_1_3_2_1_4_1","volume-title":"Cybernetics and Systems","author":"Fr\u00e9d\u00e9ric Bergeron","year":"2021","unstructured":"Bergeron Fr\u00e9d\u00e9ric , Bouchard Kevin , Gaboury Sebastien , Giroux Sylvain . RFID Indoor Localization Using Statistical Features [J] . Cybernetics and Systems , 2021 , 52(8). Bergeron Fr\u00e9d\u00e9ric, Bouchard Kevin, Gaboury Sebastien, Giroux Sylvain. RFID Indoor Localization Using Statistical Features [J]. Cybernetics and Systems, 2021, 52(8)."},{"issue":"1","key":"e_1_3_2_1_5_1","article-title":"Deep learning approach for UHF RFID-based indoor localization [J]","volume":"12","author":"Haishu Ma","year":"2021","unstructured":"Ma Haishu , Ma Zongzheng , Li Lixia , Gao Ya . Deep learning approach for UHF RFID-based indoor localization [J] . International Journal of RF Technologies , 2021 , 12 ( 1 ). Ma Haishu, Ma Zongzheng, Li Lixia, Gao Ya. Deep learning approach for UHF RFID-based indoor localization [J]. International Journal of RF Technologies, 2021, 12(1).","journal-title":"International Journal of RF Technologies"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-6596\/1617\/1\/012065"},{"issue":"3","key":"e_1_3_2_1_7_1","article-title":"A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system[J]","volume":"34","author":"Barua Chowdhury Bijoy Dripta","year":"2020","unstructured":"Bijoy Dripta Barua Chowdhury , Sara Masoud , Young Jun Son , Chieri Kubota , Russell Tronstad . A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system[J] . International Journal of Sensor Networks , 2020 , 34 ( 3 ). Bijoy Dripta Barua Chowdhury, Sara Masoud, Young Jun Son, Chieri Kubota, Russell Tronstad. A dynamic data driven indoor localisation framework based on ultra high frequency passive RFID system[J]. International Journal of Sensor Networks, 2020, 34(3).","journal-title":"International Journal of Sensor Networks"},{"key":"e_1_3_2_1_8_1","first-page":"407","volume-title":"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom 2003","author":"Ni L M","year":"2003","unstructured":"Ni L M , Yunhao L, Yiu Cho L, Patil A P. LANDMARC : indoor location sensing using active RFID . in: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom 2003 ). Los Alamitos, CA, USA: IEEE Comput. Soc. , 2003 . 407 - 415 Ni L M, Yunhao L, Yiu Cho L, Patil A P. LANDMARC: indoor location sensing using active RFID. in: Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom 2003). Los Alamitos, CA, USA: IEEE Comput. Soc., 2003. 407-415"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.wneu.2020.01.172"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.23940\/ijpe.20.03.p14.446453"},{"issue":"11","key":"e_1_3_2_1_11_1","first-page":"4484","article-title":"Research on improved RFID indoor location algorithm integrating ZigBee [J]","volume":"30","author":"Dahu Yan","year":"2018","unstructured":"Yan Dahu , Xu Yangjie . Research on improved RFID indoor location algorithm integrating ZigBee [J] . Journal of System Simulation , 2018 , 30 ( 11 ): 4484 - 4491 Yan Dahu, Xu Yangjie. Research on improved RFID indoor location algorithm integrating ZigBee [J]. Journal of System Simulation, 2018, 30 (11): 4484-4491","journal-title":"Journal of System Simulation"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3233\/RFT-18116"}],"event":{"name":"RICAI 2022: 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence","acronym":"RICAI 2022","location":"Dongguan China"},"container-title":["Proceedings of the 2022 4th International Conference on Robotics, Intelligent Control and Artificial Intelligence"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584376.3584604","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3584376.3584604","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T17:49:58Z","timestamp":1750268998000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3584376.3584604"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,12,16]]},"references-count":12,"alternative-id":["10.1145\/3584376.3584604","10.1145\/3584376"],"URL":"https:\/\/doi.org\/10.1145\/3584376.3584604","relation":{},"subject":[],"published":{"date-parts":[[2022,12,16]]},"assertion":[{"value":"2023-04-19","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}