Applied Mechanics and Materials Vols. 687-691

Abstract: Low voltage current transformers are widely used in power system. Such as the records of power consumption, energy trading and industrial load monitoring, is an important measuring component in electric power system of China at the present stage. Whether the low voltage current transformer is accurate or not, related to the power customer's vital interests and the power grid enterprise`s economic benefits, also affects the quality of grid service level and the fulfillment of social responsibilities. To establish a quality assurance system, make the fault detection rate and the percent of pass of the automatic verification system is accordance with the requirements. At the same time, the establishment of online diagnosis system can remind the staff when any failure occurs and help them repairs the fault as soon as possible. It can provide a strong guarantee for the stable operation, management and protection of the automatic verification system.

Abstract: s.The least-squares algorithm is usually used to fit data in circle detection. The application of the conventional least-squares algorithm is limited, its’ roundness error is bigger, and precision is lower. For detecting circle with data points of non-uniform distribution, developed an analysis algorithm for assessing the minimum zone roundness error. Center and radius can be accurately solved, without iteration, without truncation error. Visual measurements have been carried out for known diameter D=2.564mm tooth shape chain board’s aperture using the proposed methods, calculated results (Table 1) using four kinds of roundness error evaluation methods. Tooth shape chain board’s aperture diameter errors are 0.0157mm、0.0126mm、0.0117 mm and 0.0218mm, roundness errors are 0.0251 mm、0.0225mm、0.0228mm and 0.0244mm respectively. The minimum zone algorithm are suitable for distributed data of all kinds situation, particularly suitable for the realization of machine vision inspection system, fast speed for high precision, wide range of application.

Abstract: Our country has many serious problems such as fake-licensed vehicle, stolen vehicle, overloaded vehicle, over speed vehicle and so on at present. This paper designs and realizes a kind of intelligent vehicle inspection system based on RFID technology in order to solve these problems. This system obtain the all kinds of vehicle information by recognizing electronic label card and deal with all kinds of information in the background in order to manage vehicle. The system has changed the traditional manual vehicle management mode and realized automated inspection without parking. It can reduce the work intensity of law-enforcement personal and take the initiative to call the police when meet all kinds of illegal vehicle, stolen vehicle etc. It can eliminate the crime motive and behavior. It provides the great help for social and economic development.

Abstract: The pedestrian detection ahead of the vehicle is the hottest technology. This paper gives the high-effect pedestrian detection system using the Histogram Of Gradient (HOG) .This algorithm are compiled on the FPGA device. This pedestrian detection system shows the low hardware cost without sacrifice of the accuracy.

Abstract: In order to reduce or avoid the coal mine accidents, this paper proposes the application of wireless sensor networks (WSN) in the coal mine safety intelligent monitoring system, and discusses the principle and advantages of wireless sensor networks. According to the current situation of low level of intellectualization in coal mine safety monitoring system and the existing problems, this paper proposes the designing proposal and the monitoring mechanism of the coal mine safety intelligent monitoring system, discusses the feasibility, the method and the way of the application of the wireless sensor networks in the coal mine safety intelligent monitoring system.

Abstract: This paper analyze the facial features of 6 main chinese nationalities using measurement method on face images. We select several measurement and calculation indices according to the facial geometric features of each group. It is found that Mongolia, Korean and Han nationalitis are similar in facial features, while Tibetans and Uighurs nationalities have larger differences. Analysis of the similarities and differences among groups can provide a scientific basis for face recognition of multiple nationalities.

Abstract: In accordance with the principle of equal precision frequency measurement and theory of errors, in this paper, the problems are discussed that the equal precision frequency measurement eliminates the standard frequency count error. In order to reduce the relative error and improve the measurement accuracy, a method is proposed for phase coincide detection between standard frequency multiplication and measurement frequency demultiplication to open or shut the gate, at the same time, a signal selector is also used to improve circuit performance. This method can effectively solve the problem that the frequency can not be detected without the synchronization signal and improve the performance of the frequency measurement system.

Abstract: Evaluating motion similarity between trainer and trainee is a key part in computer-assisted sports teaching system. Our similarity evaluation algorithm mainly contains four steps. Firstly, the multichannel 3D human motion data are captured using the Kinect, a depth sensor of Microsoft. Next, in order to greatly reduce the amount of data analysis, the piecewise extremum method (PEM) is applied to achieve this goal. Then, considering that doing the same motions the rhythms of different people are not synchronized, the Dynamic Time Warping algorithm (DTW) is selected to solve the problem of analyzing one channel unequal length motion sequences. Finally, the similarity between the two sets of multichannel human motion sequences can be evaluated using the combined method of the information entropy and DTW. The experimental results indicate that compared with other traditional methods, the proposed method not only accurately measures similarity degree of different motions, but also requires less computational time and memory storage capacity.

Abstract: By using the single-chip microcomputer AT89C52 and the DS18B20 temperature sensor, this paper designed and realized an oil pump temperature monitoring system based on Internet of things. By installing the DS18b20 sensors in front of and behind the oil pump motor bearings; this monitoring system can collect the real-time temperature data of the oil pump bearing. The changed temperature data can be uploaded to the computer or the hand-held terminals by the transmission module when the temperature of the pump bearing changes. Especially, when the temperature is more than the alarm value preset by the system, the system can automatically send alarm signal, such as ring tones and screen flashing, and start the alarm module to warn the staffs to do the relevant work timely.

Abstract: s: Arc detection is difficult for processing, assembly and testing of industrial production because of limitations of detection methods, algorithms and instruments. The least-squares algorithm is used to fit data in circle detection. The application of conventional least-squares algorithm is limited, as roundness error is bigger, precision is lower. For detecting arc with data points of non-uniform distribution, improved least-squares algorithm, developed an analysis algorithm for assessing the minimum zone roundness error. Center and radius can be solved, without iteration and truncation error. Using the discrete data instances verified different roundness error evaluation methods. Visual measurements have been carried out using the proposed methods. Calculated results using the four kinds of roundness error evaluation methods (Figure 7-10). Ball diameter errors are-0.0245mm、0.0176mm、-0.1052mm and 0.302mm, roundness errors are 0.07mm、0.063mm、0.078mm and 0.146mm. The improved least-squares algorithm and the minimum zone algorithm are suitable for distributed data of all kinds situations, particularly suitable for the realization of machine vision inspection system, fast speed, high precision, wide application.