Applied Mechanics and Materials Vols. 651-653

Abstract: To ease the traffic pressure on urban traffic signal control strategy research started. Dynamic change prediction analysis of traffic flow through the flow of information as a basis for fuzzy reasoning, automatically adjust the signal cycle, green ratio and phase control parameters, real-time signal timing to generate optimal solutions for optimal control effect. The results show that this method can effectively alleviate traffic congestion, meet the design expectations.

Abstract: To against the inadequate of current gateway detection device in parking lots, toll stations and other public places, the paper provides the program of the use of two ground loops to detect and judge the vehicle entrance and exit actions, designs the dual ground loop vehicle detection system correspondingly, and analyzes how the system works. According to the findings, recommendations will be given to the application scope of the system.

Abstract: Because complex terrain conditions, the small airport satellite navigation signal being blocked, while reducing the positioning accuracy of the approach and landing segment, but also increase the operating costs of the small airport. This paper through independent pseudo-satellite network, from PDOP (Position Dilution of Precision) and VDOP (Vertical Dilution of Precision) studied several layout of airport pseudo-satellites. Through simulation show that the geometric layout of the pseudo-satellite can improve positioning accuracy of approach and landing segment in the small airport and reduce the DOPs, ​​provide reference for practical engineering applications.

Abstract: In electrical fires, arc fault is one of the important reasons. In virtue of cross talk, randomness and weakness of arc faults in low-voltage circuits, very few of techniques have been well used to protect loads from all arc faults. Thus, a novel detection method based on BP neural network was developed in this paper. When arc faults occur in circuits, current integrations of cycles were variable and erratic. However, current integrations of cycles would also vary while the working conditions of circuits change. To better discriminate the current integrations, four characteristics were extracted to represent their differences through chain code. Based on these characteristics, BP neural network was used to distinguish arc faults from normal operations. The validity of the developed method was verified via an experimental platform set up. The results show that arc faults are well detected based on the developed method.

Abstract: The method to measure the branching fraction of decayed from in experiment has been studied. Based on the data sample collected on the BEPCII and the optimized criteria for event selection, the result can be obtained.

Abstract: A sewage detection system based on large-scale embedded microcontroller was designed. With the increasing national environmental control requirements, the existing detection methods have been unable to meet the emissions compliance requirements. It is necessary to adopt new detection technologies for faster, more stable and reliable sewage discharge test results. This paper uses an embedded microcontroller technology for chemical plant wastewater discharge testing, which can effectively control the quality of effluent discharge, meet environmental requirements, and achieve stable production, energy saving purposes. Practice has proved that, sewage detection system based on large-scale embedded microcontroller has a strong monitoring capabilities.

Abstract: The echo simulator has great significance to the research on synthetic aperture radar (SAR), but massive computation and longer time are needed. In order to realize SAR echo simulation fast, the field programmable gate array (FPGA) is adopted as the kernel chirp to design the digital signal processing board to be specially used in SAR echo simulation. The simulation algorithm is realized on the board by programming. The application result shows that the realization of SAR echo simulator based on FPGA can greatly accelerate the simulation speed and significantly reduce energy consumption.

Abstract: This paper brings forward a monocular vision detection algorithm in allusion to the specific object’s pose based on Hausdorff Distance. At first, according to the mathematic model which has been established, the 2D template sequence is generated by projecting the specific object in different poses into the image plane of a virtual camera. Then, in order to predigest calculations and accelerate the matching speed during the image matching, the algorithm adopts the local-mean Hausdorff Distance as matching estimate and adopts the search strategy based on hiberarchy which reduces the searching rang by the threshold method before accurate match. In the end of this paper, the experiment that measures the poses of the clamp via the different clamp images respectively is given to testify the validity and speediness of this algorithm.

Abstract: the detection technology of surface crack in building wall is studied to improve the accuracy of detection. To detect surface crack in the building wall, there will be a pixel overlap or distorted in the location of image connection if using traditional detection method to make fusion process for the different pixels. due to the accuracy requirements of image pixels in surface crack detection in building wall is relatively high, resulting in too low accuracy rate of surface crack detection in building wall. In order to avoid the above problem, a detection method for surface crack in building wall based on computer vision is proposed. The crack region’s pixel in the image of building wall’s surface is calculated, and thus to provide the basis for surface crack detection in building wall. According to the theory of computer vision, the spatial location of the surface crack region in building wall is obtained. Experiments show that this detection system can improve the accuracy of detection, and achieve satisfactory results.

Abstract: An identification method of a class of second-order continuous system is proposed. This method constructs a discrete-time identification model, forms a set of linear equations. The parameters can be obtained by least square method. Simulation results show that the method is effective for a class of second-order system, and is not only for step response but also for square wave signal.