Advanced Materials Research Vols. 971-973

Abstract: User macro-program can realize modularization programming by the variables. According to geometric information and mathematical model of parts, the programmer makes programs of modularization. Then, the parts of same shape but different specifications can be programmed when the information such as parameters of parts processing is input corresponding module statement, which reduces the frivolous and repetitive programming work and improves the efficiency of programming.

Abstract: In view of the present enterprise production management reports system can't satisfy the features of the large statistical data and the large hiding information of enterprise production information, by analyzing the design function and key technology of reports, designing the solution of production report system based on the software platform of Silverlight and report development environment of Stimusoft Reports, example shows: the solution has good engineering generality and practicability.

Abstract: The speech signal usually could not be extracted correctly from the digital speech communication system with strong interference. As for this kind of system, the common fixed coefficient digital filters (FIR, IIR) are unable to achieve the best effect of filtering. Whereas the adaptive filter could extract the available signals properly by adjusting the filter coefficient automatically without knowing the change characteristics of the noise signal. In this paper, we designed an adaptive noise cancellation filter based on LMS algorithm on the DSP chip and verification of the filter was done on the TMS320C5509 platform. The results show that the adaptive noise cancellation designed in this paper could extract the available signals properly and improve the quality of the speech communication.

Abstract: This paper presents a design of wireless data collector based on WIA-PA. The wireless data collector collects analog signal of voltage or current, and transmits it to the host computer wirelessly. Through it, the traditional 4-20mA or 0-5V analog interfaced instrument can be easily accessed to the newly designed wireless data acquisition system, which saves wiring and maintenance costs.

Abstract: This article expounded the concept and characteristics of cloud computing technology, the influences on archives information infrastructure, archives service and utilization mode brought by cloud computing technology were mainly studied. Based on the present situation of cloud computing technology development, it also elaborated some problems in archives security and standardization.

Abstract: The main problems restricting the development of digital publishing include: the lack of a clear business model and integrated services platform supporting business development, unable to achieve the customers’ value innovation; the lack of unified standard of digital publishing industry, unable to realize the orderly and scale development; the lack of effective mechanism of copyright protection of digital publishing, unable to realize the value protection. This paper discussed the innovation direction of digital publishing mode under the cloud computing environment from the following aspects: build cloud publishing comprehensive service platform, expand industrial organization boundary, optimize resources allocation; build digital publishing standard based on “cloud computing” and achieve scale development; set up the publication service platform based on “cloud computing” to realize copyright protection effectively.

Abstract: Because of the existing mobile Agent migration algorithm, is little or no consideration of the cases in NGI, such as imprecise network state information, imprecise user QoS requirements, so it's difficult to accurately plan the best migration path. In view of this, a flexible and Multi-constraint migration algorithm of Mobile Agent based on QoS is proposed. In the proposed algorithm, intervals are used to describe the ser QoS requirements and network link parameters; Probability density function, satisfaction functions and Objective function are adopted to overcome difficulties on accurately measuring network link parameter and exactly expressing on user QoS requirements; finally, the improved CGA is used to plan out the best migration path for mobile agent. Experimental results show that the algorithm can effectively avoid the occurrence of the premature convergence in traditional GA, and has faster convergence and higher stability in order to plan the best migration path for Mobile Agent. The algorithm reduces migration time of Mobile Agent, and greatly improves the efficiency of the system.

Abstract: Program slicing is a program analysis and understanding of technology. Sequence fault localization refers to the use of specific methods for faults in the program. Currently, the research program fault positioning is more and more people's attention and gets some results which is the more mainstream software fault localization method. Program slicing technique currently used to locate the fault procedures, which primarily to take advantage of dynamic slicing technique. Based on the full analysis of the advantages and disadvantages on the basis of previous work, we propose a flexible slicing rule and give a new method based on the slicing rule.

Abstract: The current image registration technique based on gray-level information has shortcomings on time and amount of computation brought by the whole image registration, this paper proposes a quick registration method, which makes a combination of image information entropy and cross-correlation matrix: First, segmenting the target image into blocks and calculating to get the maximum entropy image block, then using it as a template to calculate the cross-correlation matrix with floating image; Second, making the point where the maximum cross-correlation value ​​is as the upper left corner, grasping a same-size block with template on floating image; Finally, obtaining registration parameters through calculation for these two blocks to achieve the purpose of registration. Experimental results show that this method has less computational complexity with the similar registration results, and takes less time. It’s effective and feasible.

Abstract: RBF neural network have advantages of training simple, fast efficiency of learning, easy to fall into local minima, etc..It is widely used to solve the problem in signal processing and pattern recognition. Although the common RBF network is relatively easy to build, but because of the structure is usually fixed or high complexity, resulting in learning time is too long or network resource waste. For these reasons, proposed using extended Kalman filter as the RBF learning algorithm, and using double radial function in the hidden layer. By approaching the basis of the results of the analysis clearly shows that the network model than the other categories have a stronger generalization.