Applied Mechanics and Materials Vols. 513-517

Abstract: With the change of internet technology and the coming of information explosion, the mass of information can meet the needs of people searching in a certain extent. But it also caused information loss and spread etc.. The traditional solution is using keyword query of search engine to realize information, the information classified. But this method is based on the hot information of mass, it doesnt have certain timeliness. Based on this, this paper improves TFIDF model, put forward Web high precision matching tracking technique based on time frequency. It can carry out a full range of filtration for web information, is simple and effective to search the information which the customer need, with a high timeliness. It provides a theoretical basis for the research of web information filtering system.

Abstract: With the continually expanding of city construction scale in china, metropolitan area network transmission system is established at present. But with the increase of network users, the network capacity can not meet the requirements of our normal life, and 4G network technology is to expand the capacity of the network developed. According to its size, building the appropriate model for the metropolitan area network is the current focus issues of experts and scholars. Based on the internet information technology, the establishment of a metropolitan area network crisis early warning mechanism is the focus of this paper. Research on early warning mechanism and the construction of the main problems are the establishment of an information transmission link. Therefore, based on the transmission characteristics of information transmission network, we carry on the division for the metropolitan area network level. Through the analysis of whole network resources deployment, we put forward a reasonable solution according to the performance index, making the whole of early warning mechanism has shown more rationality, but also provides a theoretical method and technical support for the establishment of a similar warning mechanism.

Abstract: As a kind of empirical model, artificial neural network is playing an increasingly important role in the actual theoretical research and practical development. On the basis of principles, this paper has analyzed the model structure of artificial neural network and its related properties, and has made further analysis of the network structure of BP algorithm and its detailed derivation process. Based on this, the paper has made a comparative analysis on the improvement of the three algorithms, and has applied the method for self-regulation learning rate into the empirical analysis of the effectiveness of athletes physical strength by combining with the realities. Finally, the results show that the method has got the obvious effect, and can provide theoretical and technical support, to a certain extent, for the research of the related fields.

Abstract: Based on the theory model analysis of artificial neural network structure, the use of analog circuits builds the continuous artificial neural network feedback model, to carry on optimal error analysis for the different network work model, and then using the steepest gradient descent algorithm carries out error correction, to analyze the volleyball player's empirical analysis in the physical optimization distribution experiment. The simulation results show that the statistical results model simulation experiment and actual experiment data are basic agreement, to a certain extent provide a new practical path for artificial neural network.

Abstract: According to the basic principle and the process of evolution of artificial intelligence algorithms, the use of floating point numbers carry out coding and decoding method. On this basis, we can find the constraints of the optimization problem and the conditions of fitness functions for different values of simulation experiments, dig out the best individual of this important influence factor, and the transformation to optimization, and finally applied to 200 meters special physical training simulation in track and field, empirical analysis of effect, to a certain extent for the field of study provides a scientific basis and technical support.

Abstract: The security protocol is the core technology of the network communication security system which can maintain the security of the network environment effectively. With the increasing of the amount of network data, how to make security protocol to meet customers needs for network and information security and how to improve the efficiency of the security agreement are the focuses of exploration of the field of computer security. This paper introduces the security agreement composite form based on the theory of computer logic program, strand space model theory and certification test method. It also expands the Kailar logic and concludes the automotive verification algorithm of security protocol AAAP-KM algorithm. At last, this paper verifies the effectiveness and fastness of AAAP-KM algorithm taking the KM security protocol for example which provide a theoretical reference and technical support for the application and research of cyberspace logical security agreement.

Abstract: As a confrontational-main sport, with the increase of social and political problems, there are more and more technical fouls in competitions of basketball. The hot problem we must to solve is the control of the stadium information, the analysis of basketball player's technical fouls and the implement of targeted management. Firstly, this paper introduces the status and applications of visual data mining technique based on parallel coordinates briefly. Then, it analyzes the advantage of this method which has been used in basketball player's technical fouls based on mathematical modeling thinking. Then, it establishes the optimized data mining model of basketball player's technical fouls based on visualization of parallel coordinate method which provide theoretical basis and new ideas for the research and practice of this field.

Abstract: Motion capture technology of computer is a new form of a new data acquisition in recent years. It relates to many subjects, such as mathematics, computer science, graphics, digital signal processing, image processing, data structure and so on. Through the combination of various disciplines, and mutual penetration, this new research field has been formed. The study of the motion capture technology not only increases the depth of theory, but also provides practical significance for the dynamic kinematics. At present, the motion capture technology of computer has been widely applied to the animation game production, medicine motion analysis sports and other fields. This article is mainly based on the combination of basketball technique and computer motion capture to provide a theoretical basis and practical experience for computer motion capture of basketball.

Abstract: Public opinion refers to the certain social groups subjective reflection of certain social phenomena and reality within a period of time. The important measures to maintain social stability and the ruling party's ruling safety are to instantly master the dynamic public opinion and to actively guide social public opinion. In this paper, the author found the model of social network public opinion hotspot issues. The SVM algorithm is adopted to improve the information processing and analysis testing, effectively resolving the text classification problem. It verifies that this method plays an important role in the hot issues analyses of the network link.

Abstract: Embedded system has been widely used in the network, server, etc., and it has a good application prospect with the development of Internet of things. In the embedded heterogeneous computing system, task scheduling is the key to deciding the system performance. For multi-task scheduling, the current scheduling algorithm is mostly based on task duplication, without a full consideration of the correlation between the predecessor task and its subsequent tasks. Based on modeling the multi-frame task scheduling problem in the heterogeneous embedded system, this paper analyzes the availability of tasks through the design of genetic algorithm, so as to verify the algorithm's feasibility, which is of important guiding significance for the multi-task scheduling in the embedded heterogeneous computing system.