{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:31:06Z","timestamp":1750307466293,"version":"3.41.0"},"reference-count":6,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2009,7,1]],"date-time":"2009-07-01T00:00:00Z","timestamp":1246406400000},"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":["SIGBED Rev."],"published-print":{"date-parts":[[2009,7]]},"abstract":"<jats:p>RFID location systems are often used in real-time location systems that come up with the problems like multipath phenomenon and layout changing. These make locating difficult because most of the location systems are based on fixed mathematical calculation that cannot take these situations into account. Using artificial neural network, our location scheme can learn the geography features to adapt to the real world. It could avoid multipath phenomenon effect and be flexibly applied to any environment. The experimental processes and result are shown in the end of the paper.<\/jats:p>","DOI":"10.1145\/1859823.1859835","type":"journal-article","created":{"date-parts":[[2010,9,22]],"date-time":"2010-09-22T11:55:58Z","timestamp":1285156558000},"page":"1-8","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":8,"title":["Flexible RFID location system based on artificial neural networks for medical care facilities"],"prefix":"10.1145","volume":"6","author":[{"given":"Hao-Ju","family":"Wu","sequence":"first","affiliation":[{"name":"National Chung Hsing University, Taichung, Taiwan"}]},{"given":"Yi-Hsin","family":"Chang","sequence":"additional","affiliation":[{"name":"National Chung Hsing University, Taichung, Taiwan"}]},{"given":"Min-Shiang","family":"Hwang","sequence":"additional","affiliation":[{"name":"National Chung Hsing University, Taichung, Taiwan"}]},{"given":"Iuon-Chang","family":"Lin","sequence":"additional","affiliation":[{"name":"National Chung Hsing University, Taichung, Taiwan"}]}],"member":"320","published-online":{"date-parts":[[2009,7]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"}}Aman Bhatia \"Analysis of Different Localization Techniques in Indoor Location Sensing using Passive RFID \" Term Report of Department of Electrical Engineering IIT Kanpur 2007.  }}Aman Bhatia \"Analysis of Different Localization Techniques in Indoor Location Sensing using Passive RFID \" Term Report of Department of Electrical Engineering IIT Kanpur 2007."},{"volume-title":"Network-based wireless location: challenges faced in developing techniques for accurate wireless location information,\" IEEE Signal Processing Magazine","author":"Sayed A. H.","key":"e_1_2_1_2_1","unstructured":"}} A. H. Sayed , A. Tarighat , and N. Khajehnouri , \" Network-based wireless location: challenges faced in developing techniques for accurate wireless location information,\" IEEE Signal Processing Magazine , vol. 22 , no. 4, 2005. }}A. H. Sayed, A. Tarighat, and N. Khajehnouri, \"Network-based wireless location: challenges faced in developing techniques for accurate wireless location information,\" IEEE Signal Processing Magazine, vol. 22, no. 4, 2005."},{"key":"e_1_2_1_3_1","first-page":"775","volume-title":"Proceedings (IEEE INFOCOM'00)","author":"Bahl P.","year":"2000","unstructured":"}} P. Bahl and V. N. Padmanabhan , \" RADAR: An In-Building RF-Based User Location and Tracking System\", IEEE Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies . Proceedings (IEEE INFOCOM'00) , pp. 775 - 784 , 2000 . }}P. Bahl and V. N. Padmanabhan, \"RADAR: An In-Building RF-Based User Location and Tracking System\", IEEE Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings (IEEE INFOCOM'00), pp. 775-784, 2000."},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:WINE.0000044029.06344.dd"},{"key":"e_1_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.5555\/1136649.1137076"},{"key":"e_1_2_1_6_1","doi-asserted-by":"crossref","unstructured":"}}R. Hecht-Nielsen \"Theory of the backpropagation neural network \" International Joint Conference on Neural Networks (IJCNN'89) pp. 593-605 1989.  }}R. 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