Advanced Materials Research Vols. 989-994

Abstract: In this paper, we proposed a novel hidden Markov model (HMM) to approximate the characteristic of the Nakagami Fading channel. Our study is based on a Hidden Markov Model (HMM). The channel switches between ‘good’ and ‘bad’ channel situation. The transition between the sub-states of the channel is governed by a Markov Chain, which some self-return state is hidden. The performance of the model is studied by simulating probability density functions (PDF), cumulative distribution functions (CDF), level cross rate (LCR) and average fade duration (AFD).

Abstract: In the process of urbanization, old town renewal is an unavoidable problem. The significance of old town renewal focuses on meliorating residents’ physical environment conditions, humane and social environment, and improving urban operation efficiency. Such problem affects not only the development of a certain district, but the benefits of future generations. For city managers, it is difficult to bring up a rational and highly efficient proposal such that related interest bodies would accept, and thus democracy science decision is required. This essay employs AHP to solve the problem of old town renewal proposal assessment, and brings forward the decision-making of multi-objective programming problem based on rectilinear norm allocation problem. Since there is no such paper that systematically and efficiently assess old town renewal proposal by using allocation problem, this paper tries to use this method to “fill out this blank”.

Abstract: In this paper, we suggest and analyze a new support system for easy decision-making on housing planning. Using this, user’s can analyze their preferences by themselves individually and can select optimal alternatives. The purpose of this paper is to propose a rational decision-making system in housing planning based on the ASP (Analytic Hierarchy Process). Then, we show how standard evaluation can be decided on this system. In this paper, evaluation and election of the room arrangements is based on the information data came from users.

Abstract: Boolean functions with a variety of secure cipher properties are the key factors to design cryptosystem with the ability to resist multiple cipher attacks and good safety performance. In this paper, using the derivative of the Boolean functions and the e-derivative defined by ourselves as the main research tools, we study algebraic immunity, correlation immunity and other cryptographic properties of the quadratic rotation symmetric Boolean functions. We determine the quadratic rotation symmetric Boolean functions which are H Boolean functions, and the range of weight distribution of the quadratic rotation symmetry H Boolean functions. Besides, we get the compatibility among propagation, balance, correlation immunity and algebraic immunity of the quadratic rotation symmetry H Boolean functions, and also focus on the relationship of balance, correlation immunity and dimension. Furthermore, we check the existence of the cubic rotation symmetry H Boolean functions, and obtain the relationship between existence and dimension of the cubic rotation symmetry H Boolean functions. Moreover, we obtain a more convenient method for solving annihilator. Such researches are important in cryptographic primitive designs, and have significance and role in the theory and application range of cryptosystems.

Abstract: Using the derivative of the Boolean function and the e-derivative defined by ourselves as research tools, going deep into the internal structure of Boolean functions, we study relationship of algebraic degree, correlation immunity and annihilators for H Boolean functions with a specific Hamming weight. We obtain the algebraic degree of the e-derivative which is a component of H Boolean functions decide the algebraic degree of H Boolean functions. Besides, we describe the characteristics of the algebraic degree of e-derivative for the correlation immune H Boolean functions. We also check the e-derivative of H Boolean functions can put annihilators, correlation immunity and algebraic degree of H Boolean functions together. Meanwhile, we also deduce a formula method to solving annihilators of H Boolean functions. Such researches are important in cryptographic primitive designs, and have significance and role in the theory and application range of cryptosystems.

Abstract: In this paper, we propose the spatial domain based vehicle detection scheme. This proposed scheme combines the Sobel edge detection method with background subtraction in YCbCr color space. The scheme detects the vehicle in Y(Luminance), Cb and Cr (chrominance) components of the vehicle image using background subtraction and combines the three images. Edge detection method determines edge information of the luminance component of the vehicle image. The image combined with edge detection and background difference is implemented filling and filtering operation. The robustness of the proposed scheme is analyzed considering different types of vehicle image.

Abstract: In this paper, an analysis of a hybrid two-population genetic algorithm (H2PGA) for the job shop scheduling problem is presented. H2PGA is composed of two populations that constitute of similar fit chromosomes. These two branches implement genetic operation separately using different evolutionary strategy and exchange excellent chromosomes using migration strategy which is acquired by experiments. Improved adaptive genetic algorithm (IAGA) and simulated annealing genetic algorithm (SAGA) are applied in two branches respectively. By integrating the advantages of two techniques, this algorithm has comparatively solved the two major problems with genetic algorithm which are low convergence velocity and potentially to be plunged into local optimum. Experimental results show that the H2PGA outperforms the other three methods for it has higher convergence velocity and higher efficiency.

Abstract: Principal component analysis algorithm is widely applied in solving a large number of dimension reduction problems for high-dimensional data in fields such as image identification and comprehensive evaluation due to its clear conception and simple application. The PCA based on covariance matrix and correlation coefficient matrix is very sensitive to abnormal values so that the data structure is distorted. As a result, there exist great deviations in the analysis results and it is hard to explain. The traditional PCA is remade in this paper based on non-parametric statistical ideas, nonparametric correlation coefficient and gray relational coefficient, in order to define three kinds of robustness evaluation criteria and objectively evaluate the robustness of the algorithm through numerical experiments. The results of the numerical experiments show that the new algorithm is of good robustness to noise pollution and the algorithm is of good applicability.

Abstract: HF channel sounding requires perfect autocorrelation property of the sounding sequences. Compared with other pseudonoise sounding sequences, Zadoff-Chu sequence gets great attention due to its predominant periodic autocorrelation property. In order to adapt the spectrum property of Zadoff-Chu sequence to the requirement of HF channel sounding transmitter-receiver, the Formula Direct Interpolation Algorithm (FDIA) is put forward by which the amplitude frequency characteristic of Zadoff-Chu sequence can be enhanced. Application examples show that, this system can significantly improve the efficiency of aerodynamic design.

Abstract: In order to resolve these problems, we put forward a new design of the intelligent lock which is mainly based on the technology of wireless sensor network. Particle swarm optimization (PSO) is a recently proposed intelligent algorithm which is motivated by swarm intelligence. PSO has been shown to perform well on many benchmark and real-world optimization problems; it easily falls into local optima when solving complex multimodal problems. To avoid the local optimization, the algorithm renews population and enhances the diversity of population by using density calculation of immune theory and adjusting new chaos sequence. The paper gives the circuit diagram of the hardware components based on single chip and describe how to design the software. The experimental results show that the immune genetic algorithm based on chaos theory can search the result of the optimization and evidently improve the convergent speed and astringency.