Key Engineering Materials Vols. 439-440

Abstract: Portable Unmanned Aerial Vehicles (PUAVs) present an enormous application potential, and the real time accurate position and attitude information is the basis of autonomous flight of PUAVs. In order to obtain comprehensive and accurate position and attitude data of PUAVs in flight, focusing on the common sensors configuration of PUAVs, each type of sensor’s characteristic is analyzed, and the data fusion problem of SINS/GPS/Compass combination is presented and studied in this paper. Firstly, the error expressions of MEMS inertia sensors, attitude, velocity and position are researched and derived, and the state equation and observation equation are built, and the discrete equations are derived for computer implementation, so the data fusion model for Kalman Filter fusion algorithms is presented. Then, the data fusion system and algorithms are implemented in software, and the flight data obtained in flight experiment is fed to the software for data fusion. The comparison between original data and fusional data shows that SINS/GPS/Compass data fusion system can promote accuracy of position and attitude markedly.

Abstract: Circular economy provides strategic theory paradigm for the transformation from traditional economy to sustainable development economy, so that it resolve basically the contradiction between environment conservation and economic development in a long time. As the principal part of economic activities, enterprises’ attitude to the environment strategy directly affects the execution effect of national environment strategy. From the two sides of exterior conditions and interior factors, the paper analyzed the selection games of enterprises’ environment strategy, took an example of Guangxi Guigang National Eco-Industrial Demonstration Parks and explained the feasibility of “win-win” between economy and environment.

Abstract: After 80s of the last century, the regional economic integration is the prominent characteristics of the development of world economy and international trade, however, the integration organizations that China participated in couldn’t play the important role for China’s export trade. Based on the situation, the paper analyzed the characteristics of China’s export trade and brought forward some suggestions and measures for China’s textiles export.

Abstract: Facing to the problem of increasingly serious water pollution, it is significant to monitor the key sewage displacements in real time and dynamically using modern information technology, which is an effective aid to sewage treatment. This paper proposes a solution for monitoring the key sewage displacements based on GPRS and GIS technology, discusses the system architecture, function module and database system design (especially the spatial database design). Moreover, it introduces the implementation of system in detail such as hardware system, message transport protocol and application system. The running result shows that the solution is feasible, and the system has characteristics of low cost, stable and multi-dimensional data display with GIS.

Abstract: Semantic; Trust Management; RBAC; User-role Assignment Abstract. The application of RBAC in access management of the enterprise services and resources is very widely. With phenomenal growth of information interaction and cooperation between distributed systems, the number of users can be in the hundreds of thousands or millions. This renders manual user-to-role assignment a formidable task. In this paper, we propose a semantic and trust based framework to automatically assign users to roles based on a finite set of assignment rules defined by authorized people in the enterprise. These rules take into consideration the attributes users own and any constraints set forth by the enterprise including the assignment history and the credit of the requester. We choose OWL to specify the user attributes.

Abstract: The main problems in Web Pages classification are lack of labeled data, as well as the cost of labeling the unlabeled data. In this paper we discuss the application of semi-supervised machine learning method co-training on classification of Deep Web query interfaces to boost the performance of a classifier. Then, Bayes and Maxim Entropy algorithm are co-operated to incorporate labeled data with unlabeled data in training process incrementally. Our experiment results show the novel approach has a promising performance.

Abstract: Deep Web information is heterogeneous and dynamic.　How to make use of this information effectively is a challenging task. To handle this problem, an effective solution is knowledge visualization to management knowledge of Deep Web. So, we introduce the Semantic Web technology into the knowledge visualization process. And, we visualize the process of knowledge management in order to share the knowledge, reuse the knowledge and creative the knowledge. Finally, several ontology visualization examples are shown as the visualized process and knowledge management approach, and make a good effect.

Abstract: For metal weld joints, due to the complex non-linear relationship among the factors which influence the fatigue performance, so it is hard to establish an accurate theoretical model to forecast its fatigue life. Based on the self-learning ability and approximation of non-linear mapping capability of the artificial neural network (ANN) and the powerful ability of global optimization of the genetic algorithm (GA), the paper through optimizing the ANN by GA, establishes combined genetic neural network (GA–ANN). The method establishes the mapping relationship between the fatigue life of metal weld joints and a variety of influencing factors, having greatly increased the computational efficiency for the fatigue life of metal weld joints, also had a higher forecast accuracy. The superiority of this method had been tested by the forecast of the fatigue life of weld joints in different process parameters, the new method to forecast the fatigue life of metal weld joints is proposed.

Abstract: Order arrangement is always the headache thing for manufacturers even in this high-tech modern society. Hence, this paper manages to construct a nonlinear 0-1 programming mathematical model in search of optimal solution of minimizing the cost of default. And we make an attempt to apply Genetic Algorithm in accordance with this NP-hard problem. In designing the algorithm, we propose an encoding method based both on orders and working procedure, adopt Roulette Wheel method to select the next generation, and embed crossover and mutation to avoid the common defect of premature convergence. Noticing that firms would have various psychological preferences towards different orders, we introduce Membership Function to characterize the priority of orders by comprehensively concern processing complexity, urgency and revenue of orders.

Abstract: Network security, data management, data synchronization Abstract. The aim of Network of Satellite and Ground Security Management Instrument (NSGMI) is to increase network availability, improve network performance and control operation costs. After analyzing the shortcomings of traditional data synchronization mechanism, this paper reconstructs data processing method to improve communication ability of NSGMI, and provides a solution to guarantee real time and reliable on the application layer. The new mechanism provides buffer areas and operation flows to satisfy the high efficiency of data processing demand and the strong real time request. It solves how to open the buffer size when a direct access changes records.