Key Engineering Materials Vols. 439-440

Abstract: Grid task scheduling (GTS) is a NP-hard problem. This paper proposes an optimized GTS algorithm which combines with the advantages of cloud model based on the particle swarm optimization algorithm. This algorithm iterates tasks utilizing the advantages of particle swarm optimization algorithm and then gets a set of candidate solutions quickly. In addition, this algorithm modifies the value of entropy and excess entropy using the characteristics of cloud model and implements the transformation between qualitative variables and quantity of uncertain events. And this algorithm makes particles fly to the global optimal solutions by exact searching in local areas. Theoretical analysis and simulation results show that this algorithm makes load balance of resource efficiently. It also avoids the problems of genetic algorithm and basic particle swarm optimization algorithm, which would easily fall into local optimal solutions and premature convergence caused by too much selected pressure. This algorithm has the advantages of high precision and faster convergence and can be applied in task scheduling on computing grid.

Abstract: Differential evolution （DE） is an evolutionary algorithm that is based on the individual differential reconstruction idea. It is proposed by Stom and Price in 1997, and is very suitable to solve optimization problem over continuous spaces. First of all, with the introduction of concepts of differential operator （DO）, etc., the concise description of DE is given and the analysis of its main features is advanced. For solving discrete optimization problem using DE, a new operator, mapping operator, in the new algorithm was used to ensure the original mutation operator still effective. Then a new S operator, with sigmoid function, was used to keep the result of the mutation operator falls in the interval [0, 1]. The algorithm not only has the advantages of DE, but also is very suitable to solve discrete optimization problems. Calculations of 0/1 knapsack problem show that algorithm has better convergence capability and stability.

Abstract: Computers widely used in the field of real time process control, and it's very necessary to pay more attention in the field. In this article, real-time data model, real-time data mining environment and the computing characteristics are analyzed .Based on investigating the development of a general purpose methodology for real-time data mining, we propose a novel supporting framework. The framework adopts a novel dynamic data mining process model.

Abstract: Nowadays, data warehouse has already become the hot spot in database studies. Indexes can potentially speed up a variety of operations in a data warehouse. In this paper, we present several relatively mature index techniques in data warehouse. Then, we give a comparison between them on performance evaluations. This paper focuses on the performance evaluation of three data warehouse queries with three different indexing techniques and to observe the impact of variable size data with respect to time and space complexity.

Abstract: Digital technology means the data processing, transfer of information, intelligent control and many other multi-dimensional technologies that on the basis of computer technology. It will not only make the building more automatic, more efficient and more intelligentized, but also have a all-sided influence to the traditional architecture through the computer technology and net technology. In the area of architecture design, including the traditional thinking, method, craftsmanship and the constitution of architectural space and form, are also changing and developing in order to advancing with the times. This document is base on the nucleus of architecture design, put forward some consideration about design idea as well as research method of architecture in digital age and the trend and possibility of the architecture development under the action of digitization technic.

Abstract: Taking into account the effect of sensitivity field and ill-posed problem in ERT, a weighted SVD truncated conjugate gradient image reconstruction algorithm (WSTCG) and its mathematical model were developed based on singular value decomposition of the sensitivity matrix theory. Simulation and experimental results show the proposed algorithm has two excellent characters of high quality and fast convergence speed compared with the LBP algorithm and CG algorithm.

Abstract: With the rapid development of multimedia computer and network technology, network learning becomes possible. With network learning, the boundaries of the traditional teaching method are broken, different place and time opening learning can be achieved, which increases the flexibility of learning greatly. At present, many sports colleges and institutions have also established sport education resources database, which has applied in network education. However, due to the particularity of physical education, physical teaching resources construction is still exist some problems. Based on it, knowledge management technology is applied in this paper and physical teaching network resources are constructed. The aim is to analysis physical education network resources characteristics and form standards to manage teaching resources effectively

Abstract: Hydrogen sulfide is a kind of poisonous and harmful gas. There are a lot of desulfurization methods. The presents condition, features and application of desulfurization technology are introduced in this paper. It also point out that we should pay more attention to the desulfurization technology which will be introduced. Meanwhile several kinds of desulfurization technology and management methods are presented especially. The merit and fault of all kinds of desulfurization methods are proposed in this paper too.

Abstract: Through the practice for environmental protection in the past few decades, people increasingly recognize that relying solely on the development of more effective pollution control technologies that can achieve environmental improvement is very limited. To care products and the environmental impact of production processes and depend on improving production processes and strengthen the management and other measures to eliminate pollution is more effective. So the cleaner production strategies have emerged. Cleaner production is a great significant to environmental protection strategy of innovation, and is the inevitable choice for sustainable industrial development.

Abstract: We consider a multiple production two-stage forward/reverse logistics system design problem where a fixed number of capacitated distribution/reclaiming centers are to be located with respect to capacitated suppliers and retail locations while minimizing the total costs, and take the random of demand/reclaiming into consideration. We also provide hybrid heuristic procedures for the problem, and develop transshipment heuristic to improve the duration of the proposed approaches. Finally we present computational results that show the high performance and effectiveness of the solution approaches.