Applied Mechanics and Materials Vols. 341-342

Abstract: Smart sensor is assigned sensors intelligent processing functions to share the central processor central processing functions. Intelligent processor response to the digital signal of the ADC output for intelligent processing, comprising: a self-compensating function, since the calculation and processing functions as well as self-learning and adaptive function. The paper presents using RFID technology and Smart Sensor to build Smart home system. Smart home controller using RFID and smart sensor technology constitute a unified smart home system many relatively independent of household appliances in the home.

Abstract: The paper propose a design of the local data transmission between human body physiological parameters acquisition terminal and local intelligent monitoring terminal based on the wireless transmission technique of Zigbee and Bluetooth. In order to realize the remote transmission between Local medical monitoring terminal and remote intelligent monitoring terminal, the paper give network solutions for distal doctors to provide remote treatment. The program of monitoring terminal introduces the data processing mechanism Handler and class AsyncTask to ensure the reliability and accuracy of the data, and this can also reduce the complexity of algorithm.

Abstract: We present a novel method to modulate influence of diffuse scattering in fluid cavity and reflection at boundary of pulse-echo ultrasound image. A simplified formation of ultrasound model is used to delineate it, and which is merged with modified dehaze model from principle of ultrasonic imaging, a legible fluid cavity in vascular or amniotic fluid of ultrasound image is obtained. Local and global characteristics of the image are utilized to adjust diffuse in different levels. Experimental results indicate that the proposed method is capable of producing ultrasound images that have better image quality and greater fidelity to the true tissue reflectivity.

Abstract: Four-wheel drive omni-directional mobile robots (FDOMRs) usually carry limited energy and have to accomplish their tasks before deadlines. Energy saving can be achieved in several ways, and one of that is determining a velocity trajectory. To find the minimum energy trajectory, a practical cost function is chosen as the total energy drawn from the batteries. However, the cost function is a free final time optimal control problem, which is usually complex and has no explicit solution. A normalized time variable is used to transform the original problem into a fixed final time optimal control problem, which is solved by using uniform control vector parameterization. Various simulations are performed and the consumed energy is compared to the normal control method that without minimum energy consumption control. Simulation results show that the energy saving is much more compared to the traditional control, the operational time of the FDOMR with given batteries is lengthened and the efficiency of battery is improved.

Abstract: The input-series and output-parallel (ISOP) DC transformer, which has no output filter, runs under near 100% duty ratio, and is easily achieve zero voltage switching (ZVS) conditions and higher efficiency, is more and more attractive in the high input voltage and high power applications. In order to achieving input voltages sharing in ISOP DC transformer based on two non-resonant DC transformer modules, the feed-forward control method is proposed in this paper. And the principle of the proposed control is analyzed in detail. Finally, experimental results are given to verify the proposed control method to have a good ability of sharing the input voltages.

Abstract: The paper presents the design of vision system of the mobile robot, and shows methods of object recognition based on color images in the system of mobile robot. To adapt to the different light conditions, HSI color space is used. The system is able to meet the demand on rapidity and veracity of system of mobile robot. Experiment results show that the proposed technique is liable to accomplish object recognition in presence of changing illumination environment conditions.

Abstract: In order to design a kind of temperature control system of the equipment used for baking farm products. The main function of the system is controlling the temperature in the baking room, ensuring it varies with the technological requirement. First, establish the system state equation based on the Fouriers Law. Then, set up the parameters such as the norms of the baking house, the thermal resistance of the wall and the air velocity in the baking house. As the model was established, input the technological temperature cure. The response curve shows that this system could satisfy the requirement of the process technology.

Abstract: In order to improve the quality of electric vehicle battery,this paper presented an intelligent active equalization system for electric vehicle charging station. It applied equalization mode of release and supplementary to balance battery energy,and applied centralize - decentralize structure to build the system. Inductance and capacitor is applied to store up energy and transfer energy for feedback of energy. Fuzzy control technique is applied to control process in system . Simulation results show that the system can realize to balance voltage of batteres when charging or no-charging, and meet the requirement of electric vehicle charging station.

Abstract: Conventional rough set theory is based on indiscernibility relation, which lacks the adaptive ability to data noise or data missing. Furthermore, it may present qualitatively whether or not the faults exist, but it cant compute accurately the value of the faults. Though the neural network has ability of approximating unknown nonlinear systems, but it cant distinguish the redundant knowledge from useful knowledge, so its classification ability cant catch up with the rough set classifier. This paper combines the rough set theory and the tolerant rough set neural network to diagnose the rudder faults of fighter, which solves well the problem of fault diagnosis and fault degree computation. Simulation results demonstrate the effectiveness of the proposed method.

Abstract: The Internet of Things (IOT) plays an important role in improving the equipment support capability. Using the Internet of Things, cloud computing and other new advanced information technologies, the equipment material support system is constructed. In this paper, the architecture, the network structure and building steps of the equipment material support internet of things system are designed to promote the development of equipment material support.