Á¤º¸°úÇÐȸ ÄÄÇ»ÆÃÀÇ ½ÇÁ¦ ³í¹®Áö (KIISE Transactions on Computing Practices)
Current Result Document :
ÇѱÛÁ¦¸ñ(Korean Title) |
ÇÔÁ¤ÀüÅõü°èÀÇ º¹ÇÕ ½ºÆ®¸² µ¥ÀÌÅÍ Ã³¸® ¼º´ÉºÐ¼®À» À§ÇÑ °ü¼º±â¹Ý µ¥ÀÌÅÍ ¼Â »ý¼º |
¿µ¹®Á¦¸ñ(English Title) |
Inertia-based Moving Object Trajectory Generation for the Performance Evaluation of Complex Stream Data Processing in Naval Combat Systems |
ÀúÀÚ(Author) |
ÀÌÁö¿Ï
È«ºÀÈñ
±è¿ìÂù
Jiwan Lee
Bonghee Hong
Woochan Kim
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¿ø¹®¼ö·Ïó(Citation) |
VOL 26 NO. 01 PP. 0050 ~ 0055 (2020. 01) |
Çѱ۳»¿ë (Korean Abstract) |
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¿µ¹®³»¿ë (English Abstract) |
The test dataset of the tactical moving object is essential for testing mobile management function, which is one of the important functions in the naval battle system. Existing studies for the generation of time-series position data set have a problem of not considering the movement of a tactical moving object because the concentration of the test data is focused on the generation of the distribution. In this paper, we propose a method of generating the trajectory of moving object considering inertia in order to satisfy both the moving trajectory and the distribution of tactical moving object similar to the real one. The proposed method predicts the area that can be moved in the future in consideration of the direction of past data and generates the trajectory data of the simulated tactical moving object by selecting the position of the moving object using the probability distribution function in the area. The proposed method generates trajectory data of the tactical moving object in consideration of time, speed, and direction, and is suitable for testing the mobile management function of the naval battle system.
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Å°¿öµå(Keyword) |
Àü¼úÀ̵¿°´Ã¼
±ËÀû
À̵¿Ã¼
µ¥ÀÌÅÍ ¼Â
°ü¼º
tactical moving objects
trajectory
moving object management
time series dataset
inertia
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