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10篇 您的检索式:作者名="Doohee"
    题名 作者 年代 出处 被引量
1An online identification method for both stator resistance and back-EMF coefficient of PMSMs without rotational transducers显示文摘LEE Kyuwang JUNG Doohee HA Injoong 2004IEEE Transactions on Industrial Electronics2004,51,2:1
2An Exploratory Hazard-Based Analysis of Highway Incident Duration显示文摘Nam Doohee Fred Mannering 2000Transportation Research A:Policy and Practice2000,34,2:1
3An exploratory hazard-based analysis of highway incident duration显示文摘Nam Doohee Fred Mannering 2000Transportation Research Part A2000,34,2:1
4An exploratory hazard - based analysis ofhighway incident duration 显示文摘Doohee N Fred M 2000Transportation Research : Part A2000,34,2:1
5Centimeter - Accuracy Indoor Navigation 显示文摘Changdon Kee Doohee Yun Haeyoung Jun 2001GPS World2001,26,3:1
6An exploratory hazard-based analysis of highway incident duration显示文摘Doohee Nam Fred Mannering 2000Transp Res2000,34,2:1
7An exploratory hazard- based analysis of highway incident duration显示文摘Doohee Nam Fred Mannering 2000Transportation Research2000,34,2:1
8Cen- timeter-accuracy Indoor Navigation Using GPS-like Pseud- olites显示文摘KEE Changdon YUN Doohee JUN Haeyong 2001GPS World2001,,1:1
9An exploratory hazard-based analysis of highway incident duration 显示文摘Doohee Nam Fred Mannering 2000Transportation Research Part A2000,34,:1
10Bitmap lattice index in road networks显示文摘A novel technique called the bitmap lattice index(BLI) is proposed, which combines the advantages of a wireless broadcasting environment with a road network. Existing road networks are based on the on-demand method: a server's workload increases as the query request increases when a server sends a client information. To solve this problem, we propose the BLI. The BLI denotes an object and a node as 0 and 1 in the Hilbert curve(HC) map. The BLI can identify the position of a node and an object through bit information; it can also reduce the broadcasting frequency of a server by reducing the size of the index, thereby decreasing the access latency and query processing times. Moreover, the BLI is highly effective for data filtering, as it can identify the positions of both an object and a node. In a road network, if filtering is done via the Euclidean distance, it may result in an error. To prevent this, we add another validation procedure. The experiment is conducted by applying the BLI to kNN query, and the technique is assessed by a performance evaluation experiment.Doohee Song Keun-Ho Lee Kwangjin Park 2014Journal of Central South University2014,21,10:0
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