Advanced Materials Research Vols. 860-863

Abstract: This paper used the 3d modeling software to establish SOLID model and simplified it. And it used ANSYS workbench to make the simulation analysis on dynamic performance of the universal joint. Compared undamped free vibration modal analysis with the inherent frequency measurement experimental results, to verify the accuracy of the finite element model, and prove its no resonance phenomenon.

Abstract: A novel method of measuring gap and surface differential was proposed to detect headlights contour in this paper. The method is based on the line structured laser sensor and robot system, and spline curve fitting was used to obtain the contour of the headlights and mold. After the fitting, the contour was resampled to get the shortest distance vector between the headlight contour curves and the mold contour curves, and through the decomposition of the vectors, the perpendicular and parallel components were obtained, and then the gap and surface differential measurement was completed.

Abstract: Hamiltonian matrices have many applications to design automation and autocontrol, in particular in the linear-quadratic autocontrol problem. This paper studies the inverse problems of generalized Hamiltonian matrices for matrix equations. By real representation of complex matrix, we give the necessary and sufficient conditions for the existence of a Hermitian generalized Hamiltonian solutions to the matrix equations, and then derive the representation of the general solutions.

Abstract: The shift strategy affects the vehicle dynamic performance, ride quality directly. On the basis of the shift control strategy analysis for the traditional ICE vehicle, throttle, speed and acceleration were chosen as control parameters to determine the shift strategy. The determined three-parameter shift strategy was simulated in the CRUISE software environment. The shift quality was evaluated by two criteria. The simulation results show that the design of the shift control strategy can effectively improve the vehicle dynamic performance and shifting comfort.

Abstract: Pneumatic artificial actuator had been designed and was used as power driven. A 3-DOF Pneumatic artificial actuator was described as a micro-robot flexible actuator, the mechanical model and dynamic characteristics were studied for high accurate control. The control system was designed and the actuator characteristics were tested in experiments. Results prove the pneumatic artificial actuator has good performances and can be controlled in high speed and high accuracy by computer system with PWM (Pulse Width Modulation: PWM).

Abstract: To reduce false fire alarms, combining with the character of fire signal, a kind of intelligent fire detection system of multi-sensor information fusion based on fuzzy neural network is proposed in this paper . This fire detector fuses three sensor data including temperature, smoke and CO air which have obvious character in fire and fire probability can be obtained by intelligent arithmetic of fuzzy neural network. As a result, The accuracy of the fire detection is improved effectively and the feasibility and validity of the system are proved by the simulation effects. 0 Foreword The purpose of fire detection technology is to make accurate judgments of the fire and to predict the fire in the early time, so that people's lives and property can be protected. Based on the monitoring of physical phenomena such as light, smoke, heat, the traditional fire detection usually monitors one kind of physical quantity and establishes a certain threshold value as the criterion for the fire. In practice, it is discovered that fire monitoring, based on a certain physical quantity and threshold value, is often inevitably influenced by a certain similar environmental factors influence which causes false alarm. 1 Multi-sensor Data Fusion Fire Detection System For any kind of detective object, using only one kind of information to reflect its condition is not complete. Only through getting, integrating and using various multi-dimensional information of the same object, it can detect the fire accurately and early. In view of the fact that unit fire detection technology has been unable to meet the needs of real fire alarm, the system uses multiple information fusion fire detection, which is not the simple combination of the fire detectors original single parameter, but the implementation of multiple simultaneous detection, extraction of useful and accurate information. According to different types of fire parameters, it applies intelligent algorithms, fuses the fire parameters of multi-sensor fusion, and determines whether there is a fire hazard. It overcomes the limitations of a single sensor, and effectively improves the ability of identifying real or false fires. Under normal circumstances, CO is extremely low in the air. Only by burning massive CO can be produced, which causes the density of CO in the air to increase sharply. Thus the detection of CO gas will be in large part reflects whether the combustion phenomenon happens or not. The occurring of fire is often accompanied with the elevation of temperature and the enlargement of smoke density, so the system of fire detectors uses 3-layer structure of multi-sensor fusion, selects temperature sensors, smoke sensors, gas sensors, the temperature signal, smoke concentration and the CO concentration as the fire detection signal. 2 Fuzzy Neural Network Applying fuzzy neural network to fire detection information processing can greatly improve the timeliness and accuracy of fire detection, and reduce the rate of false alarm.This system uses fuzzy neural network as shown in Figure 1. Before and after the neural network in the system is in series with the fuzzy system, in order to facilitate the procession of neural network, the smog density signal from the environment examination, the temperature signal as well as the gas signal through the signal pretreatment should be normalized, and sends these three normalized values into the fuzzy system, uses trigonometric functions for transformation, and obtains three degree of membership and the feedback signal of neural network as the neural network input.

Abstract: In order to defense malicious codes increasing serious infestations actively. We proposed several corresponding malicious code found and detection technology on the basis of malware propagation principle. We use MATLAB simulation software to achieve the malware propagation model and detection technology. We proved the practicability of the discovery technology, and present improved methods for the deficiency of the model.

Abstract: This paper proposed a SIP security communication mechanism base on SAKA algorithm, combined with the identity authentication and key negotiation. This paper illustrated the communication process design steps and the SIP mechanism, and theoretical analysis of the safety performance of the mechanism. Through the network simulation platform to simulate the efficiency of the proposed scheme and compare with other authentication mechanism.

Abstract: Because the model of Botnet posed a threat to the network security, so this paper studies the semi distributed P2P network. Base on this, we simulate the propagation model of semi distributed P2P network and obtained a more conform to the actual status's new communication model. Through the analysis of the result, we prove the effectiveness of the honeypot detection method and flow detection method. Pseudo honeypot" detection technique model is based on the first two detection, we also simulate it and get a desired result. The conclusion has important significance for the study of network security.

Abstract: A family healthcare monitoring system based on ZigBee sensor network was researched and designed. The article described the architecture of the system, discussed the framework of the detector nodes using CC2530 as main chip and the family gateway based on MSP430F2419. Physiological parameters and the corresponding sensors were introduced in the article. With advantages of low cost, strong flexibility and always online, the system can be widely used in community healthcare and personal family healthcare.