Advanced Materials Research Vols. 403-408

Abstract: Building energy saving is one of the most important areas in energy saving and emission reduction, but it needs more funds and technology to achieve the target of building energy saving. Lesson from some abroad experiences on Carbon emission trading, this paper analyzes the limitation of the application of CDM (Clean Development Mechanism) in the field of domestic building energy saving, on which an idea to set up a system of domestic civil building energy efficiency trading is presented. The feasibility on the establishment of the system is discussed detailedly.

Abstract: Through force analysis of running roller for multi stage and double-action roller rotary pump, the force equilibrium equation about roller was established and the calculation formula of rotor slot profile was deduced for the first time. Using an actual design example, in accordance with the principle of sliding friction force to be a minimum, a optimal rotor slot angel was determined which can eliminate the dead volume, improve force condition of roller, and direct the direction for the future rotor slot profile optimization.

Abstract: This paper presents a novel means of designing a nonlinear controller for Permanent Magnet Synchronous Motor (PMSM) based on the method of control Lyapunov function.The most important of it is to find out an appropriate Lyapunov function to design control law by coordinate conversion so that the new system can be globally asymptotically stable.Simulation results clearly show that the proposed controller has good dynamics performance despite disturbances are loaded.

Abstract: Natural draft wet cooling tower is one of key equipments in thermal power stations, and its thermal performance influences the efficiency of total thermal system. Based on the heat and mass transfer theory and characteristics of the FLUENT software, a three-dimensional numerical simulation platform had been developed to simulate the thermal performance in a natural draft wet cooling tower. This platform was used to study the heat exchange and flow situation of a typical hyperbolic natural draft wet cooling tower. Comparing and analyzing the results of simulation and design calculation, it indicate that there is good computational accuracy of the three-dimensional numerical simulation platform, and the platform can provide a good support for the design and research of natural draft wet cooling tower.

Abstract: The Electronic Speckle Pattern Interferometry (ESPI) is a widely used technique for measurement displacement and deformation. But the fringe phase pattern of ESPI always comes with large noise when using phase-shifting technique. In order to ensure the accuracy of the measurement, it is very important to eliminate the noise of the phase fringe pattern. This paper introduced a phase filtering method, comparing with traditional methods, which can be found is a simple and effective method, and the experimental results have shown that the method was feasible used for image processing of ESPI fringes．

Abstract: A distributed facial expression recognition approach based on MB-LGBP feature and decision fusion is presented in this paper to accomplish subject-independent facial expression recognition more efficiently. At first, the Multi-scale Block Local Gabor Binary Patterns (MB-LGBP) are extracted from expression regions to achieve both locally and globally informative features. Then a distributed architecture is proposed to accelerate the recognition process, in which features of each single region are utilized to perform expression classification in parallel. The final decision is made by an artificial neuron network (ANN) based data fusion of the confidence information got from the classification of each region. In experiment, we compare the runtime and recognition accuracy of our system with several other popular expression recognition paradigms. The results show that the distributed architecture can promote the efficiency of facial expression recognition prominently with comparative performance in recognition accuracy.

Abstract: we propose an effective approach to obtain software security vulnerabilities in web with vertical search technique in this paper. We use a keyword-trainer to get domain keywords in software security domain. Then the web page filter is designed after analyzing the obtained domain keywords and the structure of the URL topology. Finally, we design a vertical search crawler based on the webpage filter to search for the information of software security vulnerabilities in Web. This approach effectively discovers and digs out the information of software security vulnerabilities presenting in Web. It helps provides the primary knowledge and information for constructing security-knowledge database and analyze the vulnerabilities of software.

Abstract: The paper made a research on synergetic effect of gaseous toluene decomposition using dielectric barrier discharge plasma and adsorption. A systematic investigation on toluene removal efficiency and ozone byproduct generation was done using different types of fillers. The mixed fillers were found to be promising as ideal fillers. In terms of toluene removal efficiency, mixed fillers of zeolite and ceramic rings was the highest, around 97%, next is zeolite, then followed by ceramic rings and no filler-packed. Among the tested fillers, mixed fillers showed the least amount of ozone generation. For practical use of mixed fillers, it’s preferable to operate at 18kV than 20 kV, avoiding forming more undesirable O₃ byproduct on achieving the same toluene removal effect.

Abstract: This paper describes the semantic interpretation of a restricted language in a system which automatically assesses the answer of a proving problem of elementary algebra in Chinese. The system translates a student’s proof into a formal one which can be verified in Isabelle/Isar automatically. The correctness of the original proof is equivalent to the formal one obtained from the translation.

Abstract: On-line identification problem of process model was discussed in this paper, which use warm intelligent technology. An on-line identification method based on HPSO-Rosenbrock parameter estimation algorithm is proposed to solve the problem that traditional identification methods cannot be used in continuous-time systems on closed-loop step response conditions. This identification method is a combined method of a modified PSO and Rosenbrock which can make full use of global search ability of PSO and local search ability of Rosenbrock. Identification results of HPSO-Rosenbrock algorithm were made and compared with the other identification methods. The simulation and compare results show that the on-line identification method proposed in this paper is an approximate unbiased and effective identification method. This method can be successfully applied to closed-loop identification under secious noise and big dead-time object which provides a new idea for system optimization and advanced control.