Advanced Materials Research Vols. 433-440

Abstract: The paper analyzed the quantum-behaved particle swarm optimization with Gaussian distribution which can reduce the identification error of system. However, when the coefficient of the random number probability is changed, the different result is obtained and the result is uncertain. The paper identified off-line the friction model of a servo system with the method and contrasted the result. At the end of the paper, the indeterminacy of the algorithm is solved.

Abstract: Based on Crammer-Rao Lower Bound (CRLB), this paper adopts Geometric Dilution of Precision (GDOP) as the optimizing performance index to analyze the localization precision in Bearing-only localization for single observer. And the genetic algorithm is employed to calculate the optimal course sequence. The movement straight with constant velocity and movement with constant prefix angles are analyzed. Simulations show that maneuvering trajectory is propitious to improve localization precision.

Abstract: Definition of conversion from a single value data to the Vague value data is given; two conversion formulas from a single value data to the Vague value data are given; a similarity measure formula between Vague sets are given; Vague pattern recognition algorithm is given. The algorithm is applied to irrigation system design, application examples show that theVague pattern recognition algorithms and formulas are all useful.

Abstract: The relation between the digital watermarking and spread-spectrum is analyzed in this paper at the beginning. Then, a spread-spectrum adaptive digital watermarking scheme based on the wavelet transform is proposed and the system for this digital watermarking algorithm based on DSP is realized. Finally, a testing on the image digital watermarking processing system by DSP is conducted. The result from the testing approves that the system is flexible and can accomplish watermark embedding and detecting.

Abstract: In the light of JPEG compression attack, a blind digital watermarking algorithm of integer wavelet transform is proposed in this paper. Before the watermarking image is embedded, the cover image is decomposed by integer wavelet transform, and the binary watermarking image is scrambled to enhance its security. The scrambled digital watermarking is embedded into the cover image by means of modulo operation and modification of the integer wavelet transform coefficients of the cover image. The digital watermarking is extracted only by means of the modulo operation of the integer wavelet transform coefficients of the watermarked image and threshold ruling, and not depending on the original cover image. The experiments have shown that the blind digital watermarking algorithm can strongly resist JPEG compression attack.

Abstract: In stock market, the stock prices directly reflects market condition, therefore, the research on stock price process is one of the research contents of mathematical finance. In this paper by using the election model of statistical physics model to study the stock price fluctuation . This paper first applying stochastic process theory to establish election model, then the election model and stopping time theory are applied to establish stock profit process, we get the stock price process.

Abstract: It is well known that the psychology of market participants have important influences on stock market price trend, but information on this level is far from detail for market participants. When facing different stocks to determine their investment configurations, market participants join the irrational behavior on considerations of stock market price trend; will surely help him choose to invest better or more effective risk management. As the start of a new exploratory study, the paper based on statistic regression model as the main tools, selected several plates with significant fundamental differences in Chinese security market as research object, concentrates on exploration the effect of p/e ratio and fluidity indexes on market participants psychology, at the same time inspects if these effects exist plate differences. The method is also applicable to other fundamental factors.

Abstract: while the degree of aging progress become more and more serious, the aging problems turn into important, and relate to economic development, social stabilization, as well as the family happiness. The elderly problems include the economic support, daily care and the comfort in spirit. Nowadays, the spirit comforting problems of elderly come to the front, and become the most important problem of elderly. This article uses statistic software, to make analysis and get conclusions as below: in the aspect of self characters, age, education experience, physical status as well as political factor, all have very strong effect on the appraise of psychological life, actually. Analysis on the environment shows that the effect of community construction to appraising psychological life is the largest one.

Abstract: As known to all, the securities market is an essential part of financial market, and also occupies an important position in the financial market system. However, the position and function of the securities market in the financial market are different in different social systems, economic foundations and cultural traditions. In this paper, the purpose is mainly discussing the influences of corporate governance on the resources allocation efficiency of the securities market, and then putting forward a set of strategies which are targeted at the improvements on both the corporate go-vernance and the resources allocation efficiency of the securities market. Therefore, this paper is assumed to possess both the realistic and guidance significances to a certain degree.

Abstract: A new adaptive method for phase measurement and its implementation system are proposed in this paper. It can be applied in GPS system to help locate the position with high accuracy. The algorithm is based on multiple sampling of sine signals. It can adapt the sampling frequency to the changes in the frequency of measured signals, and calculates the optimal value of sampling frequency. After processing the sampled data through multiple sampling, we can obtain the high-precision phase value.