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Application of Improved BP Neural Network with Correlation Rules in Network Intrusion Detection
Yongfeng Cui,Xiangqian Li Ma,Zhijie Liu 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.4
To detect various network attacks in real time, this paper developed a network intrusion detection system based on artificial neural network. This paper first introduced the recent development of neural network, BP algorithm and structure of a simple perceptron. Then, this paper developed an improved BP neural network algorithm to detect anomaly network traffic with adjusted correlation rules. Finally, the network intrusion system in this paper was tested in a real network situation; the improved BP algorithm neural network with adjusted correlation rules shows a reduction in total error and increment in alarm rate compared to the traditional basic BP algorithm model.
Shiquan Hong,Yong Yu,Zhijie Yi,Haijun Zhu,Wencheng Wu,Peiyan Ma 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2016 NANO Vol.11 No.11
A highly efficient visible-light-driven g-C3N4/CuO hybrid nanocomposite catalyst with different molar contents of CuO are successfully fabricated via a simple liquid phase synthesis process and applied to the degradation of Rhodamine B (RhB) solution. The results reveal that monodisperse CuO nanoparticles with a size of less than 10 nm are uniformly distributed on the surface of gC3N4 nanosheets. Compared with the pure g-C3N4 and CuO, the as-prepared nanocomposite displays significantly enhanced photocatalytic performance under visible-light irradiation. Attractively, the photocatalytic activities of the nanocomposite catalysts can be tuned by adjusting the molar ratio of g-C3N4 and CuO. When the molar ratio reaches 2:1, the nanocomposite exhibits the highest photocatalytic activity, which can decompose RhB completely in 5 min. The improved performance could be ascribed to the formation of heterostructure between g-C3N4 and CuO as well as the decreased particle size of CuO, the presence of H2O2, large surfaceexposure area and the suitable band position of g-C3N4/CuO nanocomposite. Interestingly, the nanocomposite shows excellent stability and recyclable property toward the photodegradation of RhB. Finally, a possible photocatalytic mechanism is proposed.
Bingsheng Liu,Xueqing Wang,Chunlai Chen,Zhijie Ma 대한토목학회 2014 KSCE JOURNAL OF CIVIL ENGINEERING Vol.18 No.1
The Communist Party of China proposed the concept of “speeding up the industrial transformation and changing economic development mode” in its 17th Congress. Against this background, it is of more practical significance to analyze problems existing in the development of China’s regional construction industry and to make specific development strategies. Traditional researches into the industrial competitiveness mainly focus on the static analysis of several regions during the same period. However, the formation of industrial competitiveness is essentially a dynamic process. To evaluate the industrial competitiveness objectively and comprehensively,we comb relevant literatures about the competitiveness of the construction industry, and construct an evaluation indicator system of the competitiveness of China’s regional construction industry. Subsequently, we use PLS path model to evaluate the competitiveness of China’s construction industry from 2005 to 2008. Later we depict the dynamic development process of the competitiveness of construction industry, analyze advantages and disadvantages, and provide some suggestions. It can be concluded that 8 provinces have significantly improved their competitiveness, the competitiveness of 11 provinces have declined, and the remaining 10provinces have remained constant. This research has achieved a theoretical and method innovation in the evaluation of industrial competitiveness from the time dimension.