Applied Mechanics and Materials Vols. 380-384

Abstract: Wireless sensor network (WSN) is widely applied to I-home, I-office, greenhouse agriculture, environment monitoring and many other industry areas. Signal attenuation and barriers make WSN hard to get high quality and reliability of network communication, which are very import to monitoring systems. This paper focus on the signal attenuation performance in WSN, analyzes the model of signal attenuation, and researches its performance with different signal transmitting distance and different barriers. According to test results, this paper gives the model of signal attenuation with the effect of barriers on transmitting. The results can apply to the distribution of wireless sensor nodes and the optimization of network topology.

Abstract: In TD-LTE system, RACH (Random Access Channel) process is an important process for gaining time-frequency resource of uplink. Through the research on RACH signal detection, a low-complexity implementation approach is proposed in this paper. After research and analysis of RACH signal time domain detection algorithm and RACH signal circulate correlation algorithm based on Fast Fourier Transform (FFT), According to the Zadoff-Chu (ZC) sequence character, RACH signal circulate correlation on detection algorithm based on frequency domain ZC is proposed in this paper .Combined with different algorithm, the algorithm is proposed in this paper can rapid and effective realize RACH signal detection.

Abstract: In order to do further research on face recognition, this paper constructs system software work environment on the hardware platform, and then AdaBoost algorithm is given and transplanted into this system. According to the detection speed of the system and the detection rate, this paper does simulation results, it shows that the speed of each frame image detected by the system is about 110 to 130 milliseconds, and the detection rate of face rotation of small range is 85% or more, which shows the system can meet the practical needs and has widely application.

Abstract: In order to reduce the incidence of traffic accidents, it did detailed analysis and further research on fatigue detection system.this system include face detection, eye detection, eye tracking. During the eye detection, it proposed a new approach based on Kalman filtering and dynamic template. And then it did experiments on the detection rate, the PERCLOSs numerical value and the speed. Experiment results show that the detection results can meet the demand of practice. It turns out that this system can meet the demand of basic practice, has an extensive application field.

Abstract: This paper attempts to combine the image features of shape, movement and color, taking the oval as the shape model of the target to immediately catch the edge of the target, using the feature light stream technology to obtain the movement information of the target. The color information can be obtained using the color histogram features of the target and mean shift algorithm. In the tracking of the color, SDA color spatial selection algorithm is introduced to improve the target and background differentiation. Then, the above information would be integrated through particle filtering technology. The self-adapting integration technology is used, and each image features weight would be decided according to its validity, thus, a quick and robust facial tracking algorithm is gained.

Abstract: With the development of computer science and information technology, computer data mining technology is updated, which makes the image mosaic technology that can detail data processing for remote sensing image. On this basis, this paper uses advanced computer image processing technology to carry on the combination of wavelet decomposition, combined with the GIS remote sensing technology, the coal exploration and investigation evaluation technique are carried out in-depth discussion. The paper establishes the mathematical model of GIS remote sensing image processing, and through the wavelet decomposition method, the function of image processing is given. In the third part, combined with the MATLAB data processing software, coal GIS satellite remote sensing image is carried out resource evaluation by the programming operation and the size distribution of coal rock is drawn, the coal content evaluation data table of remote sensing area is finally obtained, in which the content of No. 1 coal seam is highest reached 9860 tons, the horizontal extension of four coal seams is between 200-500m, and the longitudinally is extending between 50-100m.

Abstract: Based on the rapid development of communication technology and a large area of the base station of the public network being laid, which prompting the data transmission device development that base on the GPRS wireless network. This paper describes the hardware design of a data transmission device which based on GPRS mobile communication technology. Extended remote data transmission via GPRS mobile communication technology applications, and has broad application prospects.

Abstract: The actual airborne dual-channel data is disposed to indicate the moving target by ATI. In order to solve the problems caused by the unideal movement in the flight and other engineering factors which influence the GMTI, the paper presents the method to compensate the interference phase base on calculate the phase centroid of every sub-image. Besides, this paper simplifies some data processing to realize the real-time GMTI and improves the efficiency. With this method, the actual SAR data is proceeded to get the targets position and movement parameter. Results prove the validity of the approach.

Abstract: in connection with meter reading system of low-pressure line in the domestic. We propose a wireless meter reading which based on the network of GPRS and WIA. In this paper, we principal design the local wireless part of communication that works on downstream. It is able to read the data of meter by wireless network. It has advantage of real-time and low power consumption.

Abstract: Multi-target tracking is one of the basic and difficult tasks in video analysis and understanding. This paper proposed an efficient tracking algorithm based on meanshift algorithm and PNN (Probability Neural Network) background model. Firstly, PNN detection results were used to initialize targets for meanshift tracking. Secondly, in the succeeding frames, every target was matched to detected regions before tracking. At last, only targets which couldnt match with new regions need tracking with meanshift tracking algorithm. Experimental results show that mean search steps for every target were dramatically reduced compare with original mean shift tracking algorithm.