http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
THE ALGORITHM OF DYNAMIC MEMORY BASED ON RESIDUAL ANTIGENFOR INTRUSION DETECTION
Haidong Fu,Xue Li,Jianxun Chen,Xiaolong Zhang 대한전자공학회 2007 ITC-CSCC :International Technical Conference on Ci Vol.2007 No.7
A novel dynamical memory algorithm is proposed based on residual antigen theory. The theory is used to formulate a view that the memory is dynamical. The model of multilayer defending system in Network Intrusion Detection is constructed according to the defending hierarchy of Human Immune System.The dynamical memory algorithm applied in Intrusion Detection System has been presented. Results from experiment indicated that the algorithm makes the dynamic and permanent of memory in the Intrusion Detection come true and improves the utilization of system resource.
A Novel Flame Edge Detection Algorithm via a Novel Active Contour Model
Wanli Feng,Ying Li,Shangbing Gao,Yunyang Yan,Jianxun Xue 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.9
Flame edge detection from color images is a challenging research area recently. In this paper, an extension of active contour model is proposed by adding the two information types to both internal and external energy terms. Therefore, the combination of these two forces allows for flexible initialization of the contours. This energy is then incorporated into a level set formulation with a level set regularization term that is necessary for accurate computation in the corresponding level set method. Edge extraction of different flame images using C-V model and the classical edge detection operators are compared and analyzed. Experimental results show that the existing methods do not emphasize the continuity and clarity of the flame and fire edges while the proposed method identifies the continuous and clear edges of the flame fire.