Advanced Materials Research Vols. 989-994

Abstract: The consensus problem of heterogeneous multi-agent systems is investigated. A linear consensus protocol is proposed for this system. Aiming at consensus condition can be only obtained, but the consensus equilibrium point cannot be obtained in this study, the consensus equilibrium point is derived by applying graph theory and matrix theory in this paper. Finally, a numerical simulation is provided to illustrate the effectiveness of the theoretical result.

Abstract: In this paper, we introduce an algorithm for solving large-scale box-constrained optimization problems. At each iteration of the proposed algorithm, we first estimate the active set by means of an active set identification technique. The components of the search direction corresponding to the active set are simply defined; the other components are determined by nonlinear conjugate gradient method. Under some additional conditions, we show that the algorithm converges globally. We also report some preliminary numerical experiments to show that the proposed algorithm is practicable and effective for the test problems.

Abstract: This article take LuoCheng MuLao Nationality Autonomous County in Guangxi province as a sample, decomposing the new construction land quota in this county based on AHP in determining the quota decomposition weights. In addition, this paper selected rural fixed assets investment, urban population, the total construction land during planning and implementation period, gross domestic product, four factors as the significant influencing ones. And standardized treatment of these factors to the indicators’ vector set.

Abstract: According to the trend of the development of the computer system bus more, designs the general high-speed data storage system based on computer platform structure.Put forward the "one-way chain" cache structure, to avoid the computer operating system of real-time data transmission, the influence of the multithreaded mode data transmission and storage of parallel processing.According to the basic principle of data storage in a computer system, put forward the standard file operations function replace special instruction set, the method of implementing the SCSI disk array storage at a high speed.Test results show that the data storage system based on computer platform with more generalization method to achieve the high speed of data storage.

Abstract: Study a suitable algorithm for implementation of spread spectrum tt&c signals capture software.Analyzes in detail the serial capture pseudo-code algorithm based on FFT, according to the measurement and control conditions, in consideration of pseudo-code doppler and deal with the impact of bandwidth on the basis of, put forward the suitable for software implement methods of capture, primarily through the establishment of a distributed system simulation model and implements a spread spectrum tt&c signals of quasi real-time processing, prove the validity of the method.

Abstract: As the development of world economy, demand of logistics industry is getting more complex. Vehicle management dispatcher is an important part in logistic system, so how to realize the reasonable dispatcher of vehicles under the circumstance of multi-resources-constrain is the key issue in promoting the prosperity and development of modern logistics industry. The traditional genetic algorithm has the disadvantages that hinder the development and promotion of vehicle dispatcher and slow retard the development speed of logistics industry. Through the research of vehicle dispatcher's demand, we have put forward a new genetic algorithm which is improved, effective and adept to the normal vehicle dispatcher. We have proved that this algorithm is feasible and effective by analyzing the examples.

Abstract: Extensive studies have shown that many complex diseases are influenced by interaction of certain genes, while due to the limitations and drawbacks of adopting logistic regression (LR) to detect epistasis in human Genome-Wide Association Studies (GWAS), we propose a new method named LASSO-penalized-model search algorithm (LPMA) by restricting it to a tuning constant and combining it with a penalization of the L₁-norm of the complexity parameter, and it is implemented utilizing the idea of multi-step strategy. LASSO penalized regression particularly shows advantageous properties when the number of factors far exceeds the number of samples. We compare the performance of LPMA with its competitors. Through simulated data experiments, LPMA performs better regarding to the identification of epistasis and prediction accuracy.

Abstract: In view of the discretization of continuous attributes of civil aviation radar intelligence data, this paper proposes a fuzzy partition algorithm of continuous attributes based on weighted index and optimization of clustering number, and its automatic determination of optimal weighted index m and optimal clustering number c overcomes the shortcomings of current attribute fuzzy methods of manual determination of classification number and no consideration of geometry data. The experimental results verify the validity and feasibility of fuzzy attribute discretization of civil aviation radar intelligence data characteristics.

Abstract: There have been attempts to indentify critical technology from many alternative technologies. Accordingly, we can form an R&D policy effectively if we can forecast central technologies. Multi-criteria decision-making method and Centrality Analysis have been applied to the problem. However, these two approaches have some limitations. This study proposes a hybrid approach to identify critical technologies in a technology network which take full advantage of experts’ experience in technology field and relationship between technologies at the same time. Fuzzy comprehensive evaluation and Centrality Analysis of node are used in the approach. A case study on hypothetical critical technology identification problem is used to illustrate the proposed approach.

Abstract: Sentiment classification finds various applications in opinion mining, which can help users determine sentiment tendency of texts and information. In this paper, we consider the problem of text orientation analysis. In particular, we propose a two-stage approach by coupling sentiment dictionary and classification methods. In the first stage, we build sentiment dictionary and rules to obtain the texts whose emotional scores are ranked in the top 1/4 and the bottom 1/4. These texts are marked classified for supervising the second stage. In the second stage, we employ the SVM classifier to process the remaining texts. Finally, we combine the two stages to get the orientation analysis results for all the texts. Experimental results demonstrate that, in contrast to using sentiment dictionary and classification method separately, our proposed method achieves higher classification accuracy when an initial training set by manual tagging is unavailable.