Earticle

Focused on partly flexible job shop scheduling problems, a framework is proposed based on fuzzy immune GA scheduling method. Firstly, we develop a dispatching rule method to evaluate processing devices based on fuzzy weight according to multiple objectives. Based on the evaluation results, the devices are selected to reduce the redundant ones. Then a fuzzy immune genetic algorithm is proposed to deal with the scheduling problems, in which the fuzzified maximum average satisfaction is used to evaluate the solution. To test our proposed method, it is applied to two real job scheduling problems. Experiment results show the effectiveness of our method.

Phishing assaults use websites and email messages similar to a familiar and genuine organization, so as to trick users into giving their financial or personal information online at the illegal websites. Phishing assaults look out at the various weak points that are present in systems and frameworks because of the human factor. There exist numerous cyber-attacks which are spread through different methods or schemes. They utilize these shortcomings found in end users, thus making the users as the most vulnerable component in terms of security. The phishing problem is extensive, expansive and till now there is no single answer to alleviate all the existing weak points effectively. This leads to implementation of multiple techniques to reduce specific attacks. This paper surveys the literature on the recently proposed anti-phishing techniques designed to detect and prevent phishing.

In this paper, we report the design and implementation of an adaptive individualized e-learning environment based on cloud computing named BDS (Beijing Digital School). With its five-layer architecture and its use of cloud computing technology, BDS possesses the characteristics of both a massive access system and an adaptive e-learning environment. This paper focuses on investigating three distributed solutions proposed for load balancing: an active clustering algorithm, a random algorithm and a honey bee foraging algorithm. An experiment comparing 2 groups of students was conducted to evaluate the impact of the proposed environment on learning performance, and the results were analyzed to determine the most effective strategy.

With the rapid growth of the electricity demand, UHVAC and UHVDC transmission and the distributed generation with the renewable energy become the key point of the development of power industry based on the goal of the harmonious development in the power industry at home. According to the certain topological structure, the micro grid is the network including the distributed power supply, energy storage power supply, and load-control devices. It is linked with the grid through the switch devices, realizing the effective management of the distributed generation. We can also find the value and benefits of the distributed generation for the power grid and the user. This paper discusses that the micro grid is the effective approach to solve the integration between distributed generation and power grid. It also summaries its concept and research status of the micro grid deeply. Then it knows the current application of photovoltaic power generation technology. Finally it concludes that the operation characteristic of the photovoltaic power generation system has the important research value in the micro grid.

First we analyzed the ways of evaluating practice teaching quality and the problems existing. Second based on AHP cleared the steps of constructing evaluating model. Then we analyzed the factors of effecting and restricting the quality and efficiency of the system for practice teaching. Evaluation index were selected abiding by operability、rationality、comprehensive and quantitative. Then according to questionnaire and statistical analysis of the relevant data we obtained the weight values of every factor based on AHP and set up scientific、quantitative evaluation model. Last it passed consistency test and showed that the model was scientific and rational.