Applied Mechanics and Materials Vol. 678

Abstract: Side scan sonar image has disadvantages such as low-resolution, poor image quality, random factors’ disturbance, these disadvantages cause the sonar image less visual perception, poor readability and many other shortcomings. In this paper, geometric correction method and image processing technology were studied, and also a data processing software was developed to improve the side scan sonar data processing from two aspects of data production accuracy and processing efficiency.

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Abstract: The traditional reservoir water level monitoring system utilizes the sensors placed in the water has drawbacks of: 1) high possibility of water seepage; 2) short life cycle; 3) difficulty to achieve real-time monitoring; and 4) not easy to maintain. This paper presents a design of water level measurement sensor which relies on mechanical transmission tracking method. Since there is no need to place the sensor into the water, the life cycle is improved. Furthermore, by remote data transmission over the internet network, A real-time monitoring of the water level can be achieved, and thus significantly improve the overall management efficiency of reservoir resource utilization.

Abstract: Accurate and unique sensor node identifier encoding will be an important factor to ensure the application of Wireless Sensor Network (WSN) identifier. Therefore, in order to detect the conformity of the WSN identifier encoding, the design and implementation of a WSN identifier encoding conformance test system based on web are presented. The WSN identifier encoding conformance test system consists of test method, system function, and test architecture. System function includes executable test suite (ETS) generation function, the test preparation function, the test execution function, the test response information analysis function and the test analysis function. For rapid conformance and credibility of the test system, we designed the conformance test software which consists of test server and test router. The design of test server includes man-machine interface, application service components, supporting service components and system management. The design of test router includes data communication layer management, test execution management. The implementation of test system mainly including the dataflow of test system and implementation process of test server. Verification of the test system comprises ETS verification and the test execution result verification. Additionally, the WSN identifier encoding test specifications was formulated according to the design of test system. The test results demonstrate the effectiveness of the test system by testing the sensor nodes in WSN.

Abstract: The inverse magnetostrictive effect provides a chance to detect the stress by measuring some magnetic parameters. So it is important to learn the effect of stress on some magnetic parameters. A measuring system to measure magnetic permeability and magnetic loss and a device to load uniaxial tension and pressure stress were developed. The result shows that magnetic permeability and magnetic loss increase with uniaxial tension stress increase and decreases with uniaxial pressure stress increase. It is also concluded that the relative change of magnetic permeability and magnetic loss decrease with increase of the included angle between the directions of the stress and magnetic field. These results suggest that magnetic permeability and magnetic loss can be further used to evaluate the stress in low-carbon steel.

Abstract: After excluding the usual device error, environmental error caused by electromagnetic interference persists in the acquisition system of heating flux of building envelope. This error makes the system instability and causes relatively large deviations of heat flux data, affecting building energy conservation measurement. To counter the problem of error in the data acquisition system, a new software filtering algorithm is put forward. The algorithm combines the idea of the mean and median filtering method, and specific algorithm formula and algorithm steps are given in this paper. Experimental results showed that the algorithm effectively improved the accuracy of data collection. For example, when I input 1mV into system from the sensor, average error of heat flux was decreased from 5.2% to 0.4%, and the maximum error was less than 2%.

Abstract: This paper presented an approach to measure the inherent time-delay for electronic transformer acquisition module. Traditionally, the inherent time-delay measure is a complex task and the accuracy is low. Based on the time-scale mobile and the DFT methods, in this paper, an inherent time-delay testing system has been designed to measure high accuracy time-delay in electronic transformer acquisition card and merging unit. Experiment studies are given to verify the effectiveness of the proposed method.

Abstract: In this paper, for the frequent faults problems of the mine air compressor main motor, we use the BP neural network learning algorithms on the basis of the theory of multi-sensor data fusion. The collected characteristic signals were processed by the method of data fusion, and we could get the current motor fault state value. Compared to the experimental results, it can realize the fault diagnosis of mine equipment obviously.

Abstract: Support Vector Machine (SVM) method is suitable for machine learning. In order to detect pathological information from tongue diagnosis rapidly, noninvasively and objectively, a near infrared spectral identification model is proposed based on SVM. The tongue spectral data of healthy people and hepatitis patients were collected. Twenty two samples were obtained for individual groups, and for each group, fifteen samples were randomly selected and used as the training sets, while the other seven were taken as the prediction sets. For the data sets, The effects of the principal component number, kernel parameters, and kernel functions on the identification model were investigated respectively. The results showed that the penalty parameter c was always 0.25, not related to the values of the principal component number and kernel parameter g. The kernel parameter g decreased along with the increased number of principal components, and ultimately reached a relatively stable value. When the Radial Basis Function (RBF) was applied, the established model was the best, indicating that the SVM approach is feasible to classify and recognize tongue near infrared spectroscopy, as along as right parameters are selected. This can provide a novel tongue spectral analysis method to distinguish healthy individuals from hepatitis patients.

Abstract: We designed radiation effect experimental system including current measurement section and functional test section for Xilinx Zynq-7010 System on chip (SoC) and performed the Total Ionizing Dose (TID) experiment irradiated by Co60 γ-source on the chip. At the dose rate of 0.04 Gy(Si)/s, the total dose of 1.69 kGy(Si), the current value in the experiment increased first and then decreased. The test board got functional interruption at the gamma dose of 1.69 kGy(Si). The function of the board normalized after room temperature annealing and 70°C high temperature annealing except that the current value decreased by 28% compared to the current before irradiation. The mechanisms for the first TID test results on Xilinx SoC were deduced and discussed.