{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T13:10:07Z","timestamp":1730293807977,"version":"3.28.0"},"reference-count":8,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,6,1]],"date-time":"2019-06-01T00:00:00Z","timestamp":1559347200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,6]]},"DOI":"10.1109\/rose.2019.8790427","type":"proceedings-article","created":{"date-parts":[[2019,8,8]],"date-time":"2019-08-08T23:55:11Z","timestamp":1565308511000},"page":"1-7","source":"Crossref","is-referenced-by-count":1,"title":["Navigational data imputation with GPS pinning in compositional Kalman filter for IoT systems"],"prefix":"10.1109","author":[{"given":"Yuri","family":"Boiko","sequence":"first","affiliation":[]},{"given":"Ci","family":"Lin","sequence":"additional","affiliation":[]},{"given":"Iluju","family":"Kiringa","sequence":"additional","affiliation":[]},{"given":"Tet","family":"Yeap","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref4","article-title":"MICE: Multivariate imputation by chained equations in R","volume":"45","author":"stef","year":"2011","journal-title":"Journal of Statistical Software"},{"journal-title":"Comparison of different Methods for Univariate Time Series Imputation in R","year":"2015","author":"moritz","key":"ref3"},{"journal-title":"Forecasting Structure Time Series Models and the Kalman Filter","year":"1989","author":"harvey","key":"ref6"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-0320-4"},{"key":"ref8","article-title":"GPS Pinning of Navigational IoT Data Streams in Compositional Kalman Filter","author":"boiko","year":"2018","journal-title":"ePoster at International Conference on Artificial Intelligence Robotics and IoT"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4899-4489-4"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1115\/1.3662552"},{"journal-title":"An investigation of imputation methods for discrete databases and multi-variate time series","year":"2016","author":"hualde","key":"ref1"}],"event":{"name":"2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE)","start":{"date-parts":[[2019,6,17]]},"location":"Ottawa, ON, Canada","end":{"date-parts":[[2019,6,18]]}},"container-title":["2019 IEEE International Symposium on Robotic and Sensors Environments (ROSE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8784032\/8790379\/08790427.pdf?arnumber=8790427","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,15]],"date-time":"2022-07-15T03:12:36Z","timestamp":1657854756000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8790427\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,6]]},"references-count":8,"URL":"https:\/\/doi.org\/10.1109\/rose.2019.8790427","relation":{},"subject":[],"published":{"date-parts":[[2019,6]]}}}