Advanced Materials Research Vols. 945-949

Abstract: In order to avoid the defect that particle swarm optimization algorithm is easy to trap into local optimal solution, an improved multi-objective particle swarm algorithm based on the Pareto optimal set is proposed to deal with reactive power optimization of power system. Taking the minimum active network loss and voltage offset as objective, index functions of multi-objective reactive power optimization are established. The algorithm uses a group fitness variance judging mechanism to update each particle’s inertia weight so as to enhance their global searching ability, and adopts the elite archiving technology to get a set of Pareto optimal solutions so as to improve the diversity of the solution. Simulation of IEEE 30 bus system demonstrates that the proposed method has fast convergence speed and high optimization accuracy.

Abstract: BP network is one of the most popular artificial neural networks because of its special advantage such as simple structure, distributed storage, parallel processing, high fault-tolerance performance, etc. However, with its extensive use in recent years, it is discovered that BP algorithm has the defects on slow convergent speed and easy convergence to a local minimum point. The paper proposes a method of BP Neural Network improved by Particle Swarm Optimization (PSO). The hybrid algorithm can not only avoid local minimum, but also raise the speed of network training and reduce the convergence time.

Abstract: Known methods of definition of sources of damages of bearing designs not fully consider possibilities of expert estimates of results of their inspection. In these methods forecasting of the reasons of defects of bearing designs in future intervals of time isn't provided. Relevance of offered approach consists in expansion of the tasks solved at research of a condition of bearing designs and use of algorithm of Mamdani at creation of effective procedures of work with indistinct knowledge bases about the reasons of defects. The purpose of work is decrease in level of uncertainty at expert diagnosing and forecasting of defects of bearing designs of buildings. The objectives are achieved by use of the device of fuzzy logic in the joint analysis of expert aprioristic information and results of the current tool control of a condition of bearing designs of buildings. It is offered to estimate possibility of detection of defects of certain types at future intervals of time by means of the indistinct conclusions received at use of algorithm of Mamdani and developed on his basis of settlement procedures. The offered approach took place settlement approbation in relation to logical processing of indistinct information on emergence and development in time of cracks of bearing designs and has shown the working capacity. On the basis of these results conclusions are drawn on area and conditions of application of the developed models and settlement procedures.

Abstract: In this paper, we discuss a class of new nonlinear weakly singular difference inequality, which is solved by change of variable, the mean-value theorem for integrals and amplification method, Gamma function, and explicit bounds for the unknown functions is given clearly.

Abstract: Starting from an improved mapping approach and a linear variable separation approach, a series of exact solutions of the (2+1)-dimensional Boiti-Leon-Manna-Pempinelli system (BLMP) is derived. Based on the derived variable separated solution, we obtain some special localized excitations such as dromion, solitoff and chaotic patterns.

Abstract: The connection pool technology has become a deal with large amount of data requested a solution that is widely used now. This paper used the SVM classification algorithm for classified all database requests quickly, so the corresponding database request could be assigned to different connection pool distribution. We applied the connection pool to measurement service platform and tested on the accuracy of the SVM classifier and buffer pool hit ratios of the connection pool module. The experimental results show that the connection pools can improve the efficiency of database access obviously.

Abstract: To reduce the number of requests to the database connection, this paper designed the max-heap in buffer pool. We use the buffer pool maintenance algorithm to manage SQL data query request when database access intensive. When we update the max-heap, the structure of the buffer pool will be updated and the heap will be balance through the heap of recursive sequence, it got good performance in database access request. Experiment results show that this algorithm can improve the operation efficiency of system effectively.

Abstract: Paper analysis is the main content of the educational measurement. Through the statistical analysis of the paper for scientific and objective. It can optimize teaching contents and reform teaching methods and grasp the teaching focus. The analysis also can provide the most direct help to improve the quality of teaching, so it achieves more focused, more fair, impartial assessment test on the knowledge grasping situation. Based on the paper analysis, it put forward the matrix which is used in the algorithm of test paper quality analysis, then the contents from the database will be analysed and the accessing speed is fast and strong pertinence.

Abstract: In the speech emotion recognition system, voice signal recognition is the most critical step, the simple signal recognition can lead to errors. In this paper the cultural genetic method applied in speech recognition optimizes the voice features combination to find the optimal solution, and it provides effective method to improve the efficiency of the speech recognition.

Abstract: Intrinsically linked graphs are very important spatial graphs. We say that is intrinsically knotted and 3-linked graph if every spatial embedding of this graph contains nontrivial knot and a non-split 3-component link. This paper exhibit a new intrinsically knotted and 3-linked graph. This paper is devoted to the operation of the exchanges preserve intrinsically knotted and 3-linked graph.