Applied Mechanics and Materials Vols. 321-324

Abstract: According to the validation that the random selection of the gray neural network parameters random selection is similar to initial the space position of the particle in the particle swarm algorithm, the gray neural network based on the modified particle swarm optimization (PSO) algorithm is established to improve the robustness and the precision of the net model with applying a improved PSO algorithm to instead of gradient correction method, updating the network parameter and searching the best individual in this algorithm. There are several methods to forecast the short-term orders, including BP, the gray network, the original PSO algorithm and the improved PSO algorithm. Comparing with these methods, the results demonstrated the grey network based on the improved PSO algorithm has better approximation ability and prediction accuracy.

Abstract: We study the refinement operation of Petri net based Representation for Embedded Systems (PRES+). A refinement of Petri nets is an important transformation to preserve properties of original nets. For systems specified in PRES+, this paper proposes a kind of refinement operation for PRES+ and gives some conditions to preserve important properties, such as reachability, timing and functionality.

Abstract: There is a strong coupling among the multi-point temperatures of rich- or pure-oxygen combustion ceramic roller kiln. The temperature of ceramic kiln is characterized by large inertia, pure time-delay and nonlinear features. The simple and practical decoupling control method in this kiln is proposed, and the multi-point temperature decoupling controller based on DSP is developed. The traditional PID algorithm is improved. Experimental results show that the decoupling controller of multi-point temperature has high control precision, reliability, and high performance-price ratio. It can meet the control requirements of this kiln.

Abstract: This paper develops a new algorithm for the dynamic intersection control based on linear and nonlinear program. A new set of formula based on geometric construction are proposed to estimate the steady-and-oversaturation delay, which occasionally have the only one kind of controllable variable of the green splits. As a dynamic model, it can automatically adjust the split green ratio to achieve the minimal delay.Since the objective function of over-saturation delay is linear and under-saturation delay is nonlinear, the combination of linear and nonlinear program can be applied to either over-saturation or under-saturation situation. The simulation result shows that dynamic allocation of green time using LP combined with NLP can obtain less delay than using single liner programming.

Abstract: this article analyzes the executive process of city major hazards standardization construction and the competition between regulators and the managed enterprises, using model to carry out system optimization to ensure the effectiveness of city major hazards supervision system.

Abstract: With the rapid development of the Internet, as well as the increasingly large Web data, enabling users to obtain useful information from the Web is becoming increasingly difficult, From the Web, how to quickly and efficiently and accurately extract information has become an urgent problem, the Web information extraction technology came into being. Through a Web table positioning, Web table structure identification, the Web table content integration and extraction of results and so on four areas, Proposed a Web-based table structure extraction method. It has good versatility and high accuracy.

Abstract: A method for identifier-selection in expressway network is proposed based on toll collection accuracy of multi-path. Using basic information of the expressway network, the network model is built. Toll collection accuracy of the model is computed by the following steps: selection for competitive and valid paths, calculation for selection probability, toll calculation and calculation for toll collection accuracy. Through multi-period and multi-candidate strategy, the identifier-selection scheme is adopted to improve the stability and save the running time. The results verify the rationality and practicality of the method.

Abstract: Based on random censored samples, the problem of estimating unknown parameters and reliability performances of the two-parameter Burr type XII units is considered. Firstly, we obtained the Bayesian estimates of the parameter for the two-parameter Burr type XII distribution under the asymmetric Linex loss functions. Secondly, the Bayesian estimates of the reliability performances are derived. In order to investigate the accuracy of estimations, an illustrative example is examined numerically by the Monte-Carlo simulation.

Abstract: Personalization information retrieval is very useful in information retrieval system, the user profile can be used to represent the favorites or interests of user. Many methods to personalization have been studied in extending query with user profile. A proposed navel method which use the context of long-term user profile with multiple domain to extend query model under the unigram language model framework, uses the new query model to retrieve and get more interesting results for users. Combined with psudo relevance feedback model, the proposed method get better performance. Experimental results show that the proposed method in this paper is effective.

Abstract: This paper proposed a mobile cloud computing architecture based on mobile Agent paradigm for the problems faced by the mobile cloud computing, for example, application migration on network, network latency and non-persistent connection issues caused by execution on the remote device, cloud-crossed service problems, and security risks and privacy issues. In this architecture, Contract Net Protocol is optimized and used in the synergy among the mobile Agent. Mobile Agent is authenticated by exchanging keys, where the exchange key uses ideas of quantum teleportation based on multiple particle orthonormal direct product state. Furthermore this paper describes the workflow of this architecture by colored nested Petri nets.