Applied Mechanics and Materials Vols. 556-562

Abstract: The granular reduction plays an important role in covering rough sets, and the aim of this paper is to explore the granular reduction of covering rough sets and fuzzy covering rough set Firstly, the covering rough sets based on neighborhood element and the N-reduction are introduced, and their properties are discussed; secondly, The definitions and properties of upper and lower approximation of fuzzy covering rough based on the neighborhood are given; Lastly, the N- reduction of fuzzy covering rough based on the neighborhood element is proposed, and we can get that covering rough sets remain the same upper and lower approximations for N-reduction.

Abstract: An arrangement method for non-uniform linear array using genetic algorithm (GA) is proposed. It is a general purpose method and needs only the angle range of the signal directions and the desired aperture of the array. It has few parameters, simple processing steps and a strong stabilization. It can be applied to optimize arbitrary array configuration. Modified multiple signal classification (MMUSIC) algorithm is discussed for estimating coherent sources using the non-uniform linear array. Simulation results show that the performance of the direction of arrival (DOA) estimation has been improved effectively on contrast with other array structures, the validity of the proposed method is proved.

Abstract: This study considers the problem of optimal allocation of a common resource in systems with parallel structure. The distinguishing feature of suggested approach is its applicability to models complicated by randomness and possible, but not essential near singularity of the constraint matrix, which commonly arises in systems with parallel processes. The essence of the method is that it finds solution by first solving a simpler problem with an “expanded” constraint set, and then implements a directed transition to the solution of the original problem. In completing these steps the method takes account of the stochastic nature of the allocated flows.

Abstract: In view of spectrum leakage and the contradictory problem of spectrum accuracy of main lobe and reducing spectrum leakage, MFCC algorithm based on improved window function is proposed. Improved window function is based on the mathematical analysis of Kaiser window, and under the condition of finite sampling points minuses weighted impact function where is at the frequencies that side lobe peaks of correspond to. The amplitude of improved window compared with Kaiser window is smaller, and main lobe width is the same, solving the conflicting problem of main lobe width and side lobe amplitude and reducing spectrum leakage. The experimental results show that speech recognition rate of MFCC feature parameter extraction algorithm based on improved window function is better than Kaiser window and Hamming window.

Abstract: In order to improve the unstable system throughput and reduce the "misjudgment" issues, this paper proposes a kind of parallel multi-tree search anti-collision algorithm. The algorithm embeds pseudo collision time slot with OVSF spreading code in RFID systems for identifying tags. As there are more than one code channels in a pseudo collision time slot, the slot can identify tags concurrently, reducing the accumulated collision. Theoretic analysis proves that the system throughput is improved with the increasing of code length. Simulation results show that the new algorithm has more stable and higher system throughput.

Abstract: when the rough set be used to deal with Knowledge representation system, the data in decision table should be expressed in discrete data, if some conditions or decision attribute is continuous value, which should be discrete Before process.Discretization is not specific data processing only by rough set theory , people have conducted extensive research on discretization problem before the rough set theory put forward , and Made a lot of progress ,but the discretization technique is can not be completely in common used in every subject, different areas have their own unique requirements and handling .This paper proposes a discretization algorithm based on regular conditional entropy.

Abstract: To ensure the highway passenger transport policy and the allocation of scientific nature, the application of exponential smoothing method to analyze the highway passenger volume from 2000 to 2009,calculated once, twice and three times smoothness index and smoothing coefficient, and ultimately determine the three smoothing prediction model; according to the forecast model ,and calculate the highway passenger volume in the region from 2010 to 2014, compared with the actual highway passenger volume, the relative error values respectively is 3.243% and 4.729%, and both less than 5%, which can meet the accuracy requirements for the statistical confidence of 95%,the model is more in line with the actual situation, higher effectiveness.

Abstract: This paper introduces an adaptive adjusting FIR filter’s parameters (LMS) method and presents a system recognition model based on the adaptive filter theory. The adaptive filter is directly with adjustable coefficient h (0),h (1),...h (N-1).The unknown system and FIR model have the same input sequence. The simulation result confirms the feasibility of the model.

Abstract: Single choice is one of the most extensive use of various types of test after test, the effectiveness of each option subject judgment can provide an important reference for the evaluation of the quality of test. In this paper, through the analysis of the single item choice information entropy problem, provides the calculation formula of this kind of problem number of equivalent options K.

Abstract: Multiple choice questions is one of the most widely used test, test after the effectiveness of each option subject judgment can provide an important reference for the evaluation of the quality of test. In this paper, by analyzing the multiple choice information entropy problem of multiple choice questions, given equal choice a formula to calculate the number of D. At the same time, the quality of the multiple choice questions the problems, gives the comparison method of using relative entropy.