http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Research on the Video Advertising Detection Based on LS-SVM
Xiao-ling Lan,Shutuan Zhang 보안공학연구지원센터 2015 International Journal of Multimedia and Ubiquitous Vol.10 No.7
Aimed to the difficult problem of detection information of video advertising from the massive video data, the novelty detection method of the video advertising based on the least squares support vector machine (LS-SVM) algorithm is introduced after analyzing and studying the feature of video advertising. The detection of the abrupt change shot and the gradual change shot in video data is realized by using color histogram algorithm, and the classification of the shot is achieved by using the particle swarm optimization and least squares support vector machine algorithm. The experiments show that the method based on the color histogram algorithm and LS-SVM algorithm has better Precision and recall, and can realize the accuracy detection of the video advertising.
Li Yan,Liu LingShun,Zhang ShuTuan,Liu Di 보안공학연구지원센터 2015 International Journal of Grid and Distributed Comp Vol.8 No.6
The double Y shift 3 0 PMSM two-motor series-connected system is a novel multi-machines system, which PMSM1 operates on d q plane and PMSM2 operates on 1 2 z z plane. To overcome the poor robustness and static and dynamic performances of PI controller, the backstepping control approach suitable for the two-motor series-connected system is researched. And the backstepping controller of PMSM1 is deduced on d q plane. The simulation contrasting with PI controller show that backstepping can realize the decouple control of the two series-connected motors and improve the dynamic and static performances.