Applied Mechanics and Materials Vols. 599-601

Abstract: This paper presents a prototype of GIS (Geographic Information System) and web-based decision support system (GWDSS) for regional water resource management and planning, which is a conjunctive application of GIS, Web and DSS technologies. The components involved and implementation of GWDSS are analyzed. The scenario analysis approach and embedded GIS functions are explained. Through the application of GWDSS in the case study region, GWDSS enables managers and decision makers to improve the regional strategic management and planning of water resources,and optimizes the use of water to satisfy the demands of competing stakeholders and protecting water resources.

Abstract: We construct the numerical method of the space fractional diffusion equation in this paper. We propose an efficient method for its numerical solution. This method is based on a finite difference in time and finite element method in space. Convergence of the method is rigorously established. A series of numerical examples are provided to support the theoretical claims.

Abstract: The main objective of this paper is to establish a class of difference inequality with three iterative summation. By amplification method, technique of change of variable, difference and summation, upper bound estimations of unknown functions in the difference inequality are given. Finally, we give the estimation of the solution of a class of difference equation by our derived results.

Abstract: LT code is the first practical implementation of digital fountain code. The coding behavior of LT code is mainly decided by the degree distribution which determines the relationship between source data and codeword. Since coding systems with unequal loss protection are widely applied, a degree distribution optimization algorithm is designed for unequal-protected LT code. The degree distribution that minimizes the number of un-recovered source symbols is found. By introducing the weighted cost, the optimal degree distribution can be solved by evolutionary strategy. The experimental results are quite promising. Compared with LT code with robust soliton distribution, the proposed algorithm improves the number of the recovered symbols obviously with the same overhead.

Abstract: Modern cameras typically consist up to dozens of individual optical elements to compensate for geometric and chromatic aberrations. In recent year, high-quality single lens imaging has been proved possible by eliminating aberrations with computationally. Point spread function (PSF) calibration is key technique for single lens imaging. However, the existing PSF calibration method is time-consuming and has to be completely repeated for every new lens. This paper proposes a fast PSF calibration to accelerate the process. A PSF model is firstly estimated from a group of single lenses, which is close to the ideal PSF for specific tested single lenses. Then the PSF model is used as the iterative starting point in the calibration optimization. Experimental results show that this method can significantly improve the efficiency of PSF calibration process, and deconvolution performance is competitive with existing methods.

Abstract: To seek a way non-invasive and adaptive to differentiate the normal and abnormal heart sound signals in order to provide more valuable reference method for clinical diagnosis. This paper made the largest Lyapunov exponent as the mainline. According to the unity of the whole signal in different stages, a method to study the characteristic in stage was proposed. First of all, we made phase space reconstitution to the typical seven normal and abnormal heart sound signals. Then, we calculated the largest Lyapunov exponents according to the phase space reconstitution parameters. At last, we compared and analyzed the mean values of the largest Lyapunov exponents. The mean value of the normal heart sound signal in S1 was 0.145, which was much larger than that of the abnormal signals and the mean value of the normal heart sound signal in S2 was larger than that of the abnormal ones, too. This conclusion means that there are chaotic characteristic in the heart sound signals and the degree of chaos in normal heart sounds is higher than that in the abnormal heart sound signals.

Abstract: Softwares is becoming increasingly important causes for failures of safety programmable electronic (PE) systems,PRA and CSRM both take it as an important risk contributor and respectively access risk of systems and software in system level.However they partly identify software-related risk scenarios ,and can’t tell what a software must do about all safety-critical conditions,i.e.,safety functions,especially warning functions for conditions software can’t control but must alarm operators to action immediately.Here we give a method to find all software-related safety-critical scenarios,through it all safety-critical conditions and the corresponding functions can be identified.

Abstract: A new algorithm for detecting lunar craters based on the solar incidence angle has been proposed, which converts the Chang’E CCD images to binary images first by detecting edges in the Chang’E CCD images, then the new algorithm calculates the average angle of the solar incidence angles of each edge, Comparing the average angle of each edge with the solar incidence angle of the whole image to delete those noise/false edges of craters. Finally, the common circle fitting has been implemented to detect craters from those edge images. The new algorithm proposed has been tested on different Mare areas and all testing results had shown that the new algorithm could get a satisfying effect.

Abstract: A new algorithm of automatic extraction of multi-size lunar craters has been proposed. The proposed algorithm could detect multi-size craters by using different filters in multi-steps, which is a loop to detect multi-size craters by different size filters. In the first step, the new algorithm will use a larger filter to reduce noise and detect larger craters by using circle fitting at de-noised image. After marked these areas in the original image, it will remove those detected crater areas from the original image and do the noise reduction with a smaller filter again. The new algorithm will repeat the second step several times to finish the detection of whole image. Finally the new algorithm will merge results of these steps and output a final result. The new algorithm has been tested based on the Chang’E Data in the Matlab environment. The result has shown that this new algorithm does have the ability to detect different sized craters on the lunar surface, which has pointed a way to detect secondary craters automatically.

Abstract: In this paper, we propose a new method for code optimization. This new method is based on backward data flow analysis, and the optimization is done on the source code level. First we design a tiny language to experiment with. Then, using data flow analysis, we set up some simultaneous equations and collect the liveness information for all program points. This is the basis for the optimization. Using this technique, some code can be safely eliminated without affecting the semantics of the code segment.