Applied Mechanics and Materials Vols. 58-60

Abstract: In the background of the development of global low-carbon economy, to blossom the low-carbon transport is necessary for every country. Railway is recognized as a green transport with low-power consumption, less pollution, which is one of the most important infrastructures developed actively around the world. With the approaching era of high-speed railway, railway passenger demand has been paid much more attention. As passengers with different trip purposes are influenced by different factors when choosing means of transport, this paper will classify passengers by trip purposes and find the main influential factors according to different types of passengers with the aid of rough set. Then put forward initiatives aimed at improving passenger satisfaction, and enhance the positive attitude of passengers towards rail transportation.

Abstract: For P2P e-commerce environment of autonomy, heterogeneous, distribution and parallelism, considering behavior characteristics of providers and consumers, proposes a multilateral game model of business and consumers, then puts forward a cooperative algorithm based on game theory for multiple trading. Experimental results show that the algorithm is realized adaptive for dynamic change of commodity supply and demand and overall efficiency.

Abstract: Based on the characteristics of the coal chemical industry region, an emergency response platform for serious environmental pollution accident (ERPSEPA) is designed and implemented in this paper. With the environment and safety technology as the core, the information technology as the support and with the emergency management process as the main line, ERPSEPA do a system design for this emergency platform, an integration for kinds emergency resources, and a construction for the application and database system. It realizes functions as analyzing and identifying environmental risk resources, daily management, monitoring and control, forecast and early warning, dynamic decision-making, comprehensive coordination, assessment of accident, and so on. This work is of great significance on the preventing and responding of environmental events and on the losses reducing that caused by sudden environmental accidents.

Abstract: By using the existing research experience and through the in-depth study of the harmonious society theory, this paper sets up a harmonious society index system. Moreover, based on this result and by making use of the method of AHP, this paper carries positive analysis on the construction of harmonious society of Beijing City.

Abstract: Knowledge Management has put forward many new requirements for modern enterprises culture construction，which requires the enterprise build its knowledge environment and establish its knowledge system，then shape the enterprise culture which can let the members work according to the thoughts of the enterprise. The relationship between enterprise culture and knowledge management is analyzed in this paper, and the modern construction enterprises culture structure hierarchy is probed into under the background of knowledge management，based on these the thoughts of the modern enterprise culture construction is put forward to build the culture atmosphere for enterprise implementing knowledge management.

Abstract: The behavior modeling technology is introduced. A gearbox cabinet model is analyzed and optimized in this paper with Pro/Engineer behavioral modeling tool, the geometry of gearbox cabinet model is generated and controlled through the intelligent approach of knowledge capture and iterative solution, the optimum design results are obtained, and multi-objective design of the cabinet model is also analyzed in this paper.

Abstract: Fault-block oil and Gas Field is one of special complicated reservoirs. For its development, No matter at home or aboard, the instances are not too many, and most of them are terrestrial oil reservoir. For ocean fault-block oil reservoirs, there are no instances that can be consulted. This paper aims at some ocean fault block oil reservoir .Gray relation model and fuzzy cluster analysis are combined to set gray fuzzy cluster analysis .Through a case analysis ,gray fuzzy cluster method is used to clustering of reservoirs. with the experiences that has been obtained, so that the foundation are provided for the development of some ocean fault block oil reservoir.

Abstract: Trust plays an important role in the development and implementation of P2P e-commerce systems. This paper proposes a novel Trust Evaluating Model Based on Reputation with Multifactor. By introducing many comprehensive trust factors in computing trust level and improving the computing methods of the local reputation and global reputation, this model can not only accurately reflect the node’s trust level, but also reduce the time complexity in computing trust level. Experimental results show that the trust model can improve the rate of successful trading compared with the existing trust models, and can be effectively applied to the P2P e-commerce system.

Abstract: Virtual enterprise (VE) has now become an indispensable way for modern business to cope with the intense market competition. However, the existing construction method of information support platform would not be able to adapt to the development of VE. This paper first analyzed the information demand oriented to the full lifecycle of VE, and then put forward a frame design of the third-party information support platform according to the above information demand, which included the frame of the information support platform, the analysis of layer function and its operation mechanism. Finally we summarized the full paper. The proposed frame is capable of assisting the third-party organizations to implement information support platform fast and dynamically according to different industry background. So it has good application prospect.

Abstract: The present paper based on rough set theory is to analyze the reason of an e-commerce customers losing. The e-commerce is virtual, customers purchase behavior is random, and there is the 20/80 theory. The focus to the e-commerce customers losing predict is to bring enterprise 80percent profits or frequent buying clients, they will be the study samples. Therefore, we must first find out these clients from numerous customers, analyze their purchasing behavior, and it is one of the important links loss prediction. This process may be realized by customer behavior data clustering. We have analyzed the data in one e-commerce database, and according to a certain algorithm has classified these customers, one kind is superior customers, one kind is general customers, the rest is temporary customers. And a lot of questionnaire survey have been done to these kinds of customers, and then combining e-commerce expert opinions formed the customers data analysis and decision table, then the algorithm, which is the decision table blindly delete attribute reduction algorithm, is adopted to process the attributes reduction to the decision table. Then, we get the reduction table of the customers’ data analysis and decision. According to the reduction table, we summarize e-commerce customers’ loss decision rule. Through these decision-making rules, we can predict these losing customers, and take timely measures necessary to retain.