Advanced Materials Research Vols. 791-793

Abstract: stability outage probability of LDPC code is caused by the density evolution on given channel, we formulate the stability outage probability for block fading channel by researching the SOP for the BEC channel and AWGN channel, Simulation results show that how the class of capacity-achieving ensembles on the erasure channel is bounded away from the outage limit on a block fading channel by studying of the SOP for AWGN channel and BEC channel.

Abstract: The existing mine derrick design only includes the guiding principles and the empirical formula, but has no the mechanism of structural dynamics characteristics under an earthquake conditions. Then the modal analysis and spectral response analysis of the derrick have been finished for gaining the derrick natural frequency, mode shapes, and time response curve based on ANSYS in the thesis. The analysis results provides important basis for the anti-seismic design, optimization design and avoiding resonance.

Abstract: In this paper, the context quantization for I-ary sources based on the affinity propagation algorithm is presented. In purpose of finding the optimal number of classes, the increment of the adaptive code length is suggested to be the similarity measure between two conditional probability distributions, by which the similarity matrix is constructed as the input of the affinity propagation algorithm. After the given number of iterations, the optimal quantizer with the optimal number of classes is achieved and the adaptive code length is minimized at the same time. The simulations indicate that the proposed algorithm produces results that are better than the results obtained by the minimum conditional entropy context quantization implemented by K-means with lower computational complexity.

Abstract: When the input variables are not mutual independence, it is easy to arise over fitting phenomenon using neural network modeling. So it leads to not only low accuracy of the proposed model but also the long time of modeling .In this paper using immune algorithm to optimize the input variables and selection, The simulation results show that the established model after optimization improves the performance, increases the accuracy and shortens the time of the modeling. Which shows that this algorithm can be effectively reduce the dimension of input variables of neural network.

Abstract: on the base of dynamic model of long fiber high efficient filter, simulation model of filtration process of long fiber high efficient filter was established. Fluid simulation software was utilized to do the numerical simulation of filtration process of long fiber high efficient filter and the curve of filter effluent concentration, porosity distribution along the height of filter layer and filtering precision vary with time was obtained. The simulation results showed that simulation model can be used to measure and calculate the filtering precision, effective filtration cycle and filter effluent concentration of long fiber bundles filter under the conditions of different initial filter speed, other fiber diameter, and various fiber bundles loading quantity.

Abstract: Using advantages of gradient adjusted predictor (GAP) and gradient edge detection (GED) predictors of lossless image coding for reference, and the image was cut into four equal parts with the application of Graphics Processor Unit (GPU) parallel technology operation. In four sub-images, the composite self-adaption predictor was employed for predicting error image, threshold classification error image edge and thinning edge. Results showed that with the application of the parallel technology which avoided errors multiply, not only the complexity of the time was reduced significantly, but also the distinct, holistic and detail-rich edge image was obtained.

Abstract: The impact disasters of rock burst and pressure bump are common problems of underground construction and deep mining ^[1-. This paper selected the typical mine based on the work of field crustal stress measurement, indoor rock mechanical experiment, parameter calculation, numerical analysis and field disaster investigation, etc,. Deeply analysed the basic types and potential laws of possible impact disaster after a mines main tunnel excavation based on the study idea of experimental rock mechanics and computational rock mechanics co-ordination and additional verification.

Abstract: In this paper we propose a new approach combines KNN method with FP-growth algorithm for identification and modeling existing dependencies between labels (ML-FKNN). We define and develop an algorithm that, first, utilize FP-growth algorithm for generating the association rules to identifies dependencies among the labels, then divides the whole train set into several mutually exclusive subsets to calculate the mean vectors of the each subset, and selects K nearest label neighbors for test instance by calculating its similarity with the mean vectors of the training subsets , and finally identifies the final predicted label set incorporating the discovered dependencies. Empirical evaluations on benchmark datasets shows that the proposed approach achieves high and stable accuracy results and is competitive with some existing methods for multi-label classification.

Abstract: In the paper, we start with the game theory, by building the game theory model of Venture Capitalist (human capital owner) and Venture Investor (physical capital owner),and with the analysis and derivation of the game theory model , conclusions can be got that Venture Capitalists should share the enterprise property rights and so on. Then some researches are made to know whether limited partnership system arrangement reflects the idea that Venture Capitalists should share the enterprise property rights. At last, some ways are known for Venture Investors to realize their maximum benefits.

Abstract: With the rapid development of computer network, automation and electronic commerce, more and more industrial production are in urgent need of the convenient and efficient integration of production and management system to adapt to the change and solve the condition of the onerous task, low efficiency, high cost, personnel tension. This article focuses on a typical industrial management system which is based on C/S architecture and uses MFC application framework. And it introduces ADO technology as the middle bridge which is used by the client to access databases. What is important is that the dynamic link library is used in the system to help ADO access database. The ADO technology has the characteristics of easily-using, high speed, low memory expenditure and less disk space, which optimize the system, make the system realize the high performance, high compatible data access.