Applied Mechanics and Materials Vols. 190-191

Abstract: The compound Fill Sphere Model (cFSM), which is an extension of common Fill Sphere Model, is widely used in real-time haptic interaction with deformable body. Comparing with finite element based model, the simplicity and efficiency are advantages of cFSM. However, determining implicit parameters of cFSM is a difficult task since a vivid deformation should be attained during haptic interaction. In this paper, to improve the simulation precision, parameter matrices of the cFSM are identified through an analytical method for the first time to our best knowledge. After deriving parameter matrices by linearization, the stiffness matrix, damp matrix and mass matrix of the cFSM are obtained by minimizing errors between stiffness matrix of the Finite Element Model (FEM). In order to evaluate the performance of derived parameters, comparative experiment has been conducted between the cFSM and FEM. Additionally, based on the derived parameters, a real-time haptic interactive scenario is constructed to validate the performance of deformation simulation.

Abstract: In telecom CRM, characters of customer loss are uncertain and complicated. It is difficult to describe using a single algorithm. Both Two-Step clustering algorithms and neural networks analyzing method are adopted in this paper, and build a Telecommunications customer loss prediction model. When it is used in actual area, the rate of accuracy is up to 80.12%.

Abstract: A fuzzy temperature control system is modeled and simulated in Modelica language，all of the system is mainly composed of heating tank, heater, fuzzy controller, electric valve and sensor. Every component is modeled separately in OpenModelica and created its MO file which is based on the component’s mathematical model and data parameter, and will be packaged into an xml file by Flex-plugin; finally, these parts are connected to an overall simulation system. The result of simulation is showed that this model is correct, and meets the control demand of fuzzy temperature control system． Key words: Modelica; fuzzy temperature control system; Mo file

Abstract: Based on the principle of the system identification, combined Simulink with System Identification Toolbox from MATLAB, the least square estimation method is selected to establish a system of ARX model, and Akaike Information Criterion (AIC) was used in the identification of model order, compared with the original model to study the fitting accuracy, and the validity of the model is examined by residual analysis. This approach overcomes the disadvantages of the complexity and difficulty in traditional programming model. Compared to other program identification method, it has a short modeling time, and it is clear, reliable, intuitive visual, good scalability. Furthermore, the model parameters, result and system can be easily modified, assessed and verified. This method of system modeling and simulation can be used for reference to aerospace and other fields.

Abstract: Composition and decomposition can be used in refining and combination of Petri nets. Based on the relation of in preconditions and consequences of Petri node, analysis the completeness of the composition and decomposition operation and put forward methods to improve the completeness, in this way can design correct and consistent Petri nets to describe the system.

Abstract: The paper described the current situation and existing problems of the Military Geographic Information Systems in the application of our military, and introduced the Web Services technology advantages and application characteristics. At last the paper focusing on the advantages of the Military Geographic Information System Based on Web Services technology.

Abstract: For Internet of Things (IOT) widely concerned by people in recent years, this paper analyzed and discussed the key technologies of restricting IOT development, including awareness technology, network communications technology, data aggregation and intelligent technology and cloud computing and so on. These technologies will play important roles in promoting the development and application of IOT, and even human life, industrial development and the advancement of science and technology.

Abstract: This paper establishes the Simulink model of electronic throttle control system (ETCS) and designs the PID control program of it which based on D2P Motohawk platform. By simulation and experiments, it analyzes the response characteristic of ETCS and determines its algorithm. The PID control strategy based on D2P Motohawk is stable and reliable, and easily implemented in hardware, which improves the control performance of ETCS.

Abstract: In order to realize the optimal operation of the Yellow River groups of cascade reservoirs, it is very necessary to build the running information platform of the Yellow River reservoir scheduling. The paper introduces the overall structure design of the Yellow River reservoir scheduling running platform system, emphatically analyzes the design of network networking scheme, management system and security system in the process of building computer network systems. It provides reference for carrying out the digital watershed network design.

Abstract: Fast, simple and reliable method for judging the behavioral status of video object is the public research base of many application fields, including public safety monitoring, national defense, aeronautics, sports and so on. This paper focuses on the fast parametric skeleton modeling and simple process of vectorization. It proposes an improved thinning algorithm for fast skeleton modeling and then locates the key points by a new scanning and marketing method, ultimately, according to the coordinate of the key points, it constructs a matrix of pose estimation and formulates the behavioral status judgment as a problem of calculating the angle between vectors. This method not only resolves the problems of large volumes of data and high complexity of algorithm in the traditional approach, but also lays the foundation for the extended researches and applications of multi-field intelligent video behavior analysis.