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Proceedings Article
Research on the Overseas Listing of VIE Mode
Yusheng Yang
The VIE model is an important way for Chinese enterprises to be listed abroad, but there are many defects. Under the current regulatory system, it is impossible to get effective supervision and produce many risks. In view of the problem of VIE model overseas listing, it defines its basic connotation,...
Proceedings Article
Research on Client-side Defense Techniques of Cross-Site Scripting Attack
Xuyang Wang, Mingyang Xu
The Cross-site scripting (XSS) is among the most serious and common threat in Web application today. The main purpose of XSS is to steal the user's sensitive information, as its behavior is to send user's sensitive information to a third party without the user's authorization,we can get the XSS attack...
Proceedings Article
On the Cultural Clash and the College English Teaching
Zhen Zhou
The cultural clash is a common phenomenon in the cross-cultural communication since at present we have more chances to get in touch with the outside world more conveniently and frequently. And it is indispensable for us to try to avoid the cultural clash of the west countries and our China. The article...
Proceedings Article
Analysis on Special Training Methods of Track and Field Sprint
Yanmin Zhao
Sprint is a basic project of track and field sports, and it usually includes 50m-run, 60m-run, 100m-run, 200m-run, 400-run as well as 4×100 and 4×400 delay, etc. Athletes are required to use the complete running of the prescribed distance in the determined runway at the fastest speed, and the first to...
Proceedings Article
An Improved Image Segmentation Method based on Shannon Entropy and Biogeography based Optimization
Mengqing Feng
For the purpose of improve the effect of multilevel thresholding image segmentation, a new evolutionary optimization algorithm based on the science of biogeography for global optimization has been bring in namely Biogeography based optimization (BBO). In this paper we propose an improvement to BBO. In...
Proceedings Article
Application in Grade Early Warning of PCA
Xueli Ren, Yubiao Dai
Students are misled by the traditional concepts after enrolling university, these make some students face many problems such as no goal of learning, no power, that causes students to face serious consequences that failed in courses and quit, bring serious influence to student management. In order to...
Proceedings Article
Research on the Quantitative Behavior Assessment of Undergraduate Students: A Case Study of Bohai University
Xiaoshu Wang, Le Wang
Undergraduate students should have good moral character and behavior habits, Bohai University had design a quantitative behavior assessment system for undergraduate students. The assessment purpose is to make the undergraduate students to learn to behave, learn to work, learn to cooperate, and learn...
Series: Advances in Engineering Research
Proceedings Article
Monitoring and Analysis of Vehicle Engine State Based on Data Mining Technology
Xiuling Wei, Chuanxiang Du
the state of vehicle engine is influenced by many factors. The changing characteristics are very complex. The current model can not get high accuracy vehicle engine condition monitoring results. In order to improve the monitoring precision of vehicle engine state, a vehicle engine state monitoring model...
Series: Advances in Engineering Research
Proceedings Article
The Study of SAR Image Change Detection Algorithm Based on the Difference Graph Fusion
Chunhua Fu, Xiaojing Wang, Lijun Zhang, Liying Qiao
SAR image change detection technology is the two picture in the same area, the different time periods for SAR image detection, quantitative and qualitative analysis of the change area, thereby gaining interest area change a technology of information. SAR image change detection technology is of great...
Proceedings Article
An Interactive Intelligent Search Engine Model Research Based on User Information Preference
Dan Meng, Xu Huang
Web service is very important for both e-commerce and e-government. However, web service process based on syntax level can’t deal with some user query very effectively. In order to make user get more information on the internet, semantic web is presented and a lot of related research results have been...
Proceedings Article
Time series data analysis using probabilistic and neural network
Chiu-Che Tseng
Artificial intelligence decision support system is always a popular topic in providing the human user with an optimized decision recommendation when operating under uncertainty in complex environments. The particular focus of our discussion is to compare different methods of artificial intelligence decision...
Proceedings Article
The Development of Neural Network Models by Revised Particle Swarm Optimization
Peitsang Wu, Chin-Shiuh Shieh, Jar-Her Kao
A novel training paradigm for artificial neural networks had been developed and presented in this article. In the proposed approach, a revised version of particle swarm optimization (PSO) had been employed to find out the optimal connection weights of feed-forward artificial neural networks for given...
Proceedings Article
Super-fair Platforms Widely Hidden in Multinational Securities Business
Ruan Jishou, Jun He, Qi Dai
A general phenomenon puzzles all investors is that on one hand, most individual investors believe they need to construct the portfolio consisting of 15 or more stocks to prevent risk because that large investment companies frequently get high returns is due to they obey the existing investment theory...
Proceedings Article
Applications of Genetic Algorithm to Portfolio Optimization with Practical Transaction Constraints
Chieh-Yow ChiangLin
The portfolio optimization model, initially proposed by Markowitz in 1952 and known as mean-variance model (MV model), is applied to find the optimized allocation among assets to get higher investment return and lower investment risk. However, the MV model did not consider some practical limitations...
Proceedings Article
Image-Based Fire Detection Using Neural Networks
Wen-Bing Horng, Jian-Wen Peng
An image-based fire detection method using neural networks is proposed in this paper. First, flame color features, based on the HSI color model, are trained by a backpropagation neural network for flame recognition. Then, based on the learned flame color features, regions with fire-like colors are roughly...
Proceedings Article
Multicast Wavelength Assignment with Sparse Wavelength Converters to Maximize the Network Capacity using ILP formulation in WDM Mesh Networks
San-Nan Lee
We have studied the multicast routing and wavelength assignment (MC-RWA) problem in this paper, and focused on maximizing the network capacity and minimizing the resources used by a multicast session. We show that a multicast wavelength assignment problem is quite different from a unicast wavelength...
Proceedings Article
Predicting Technical Investors' Decisions in a Financial Market through Agent-Based Simulation
Yoshiki Kano, Takao Terano
We are developing an artificial stock market model with investor agents in order to analyze characteristics of a market price. In this paper, we analyze the effects of agent’s reaction rate to technical indicators in a financial market. Intensive experiments have suggested that trend follow investor...