Applied Mechanics and Materials Vols. 651-653

Abstract: Hybrid optoelectronic joint transform correlator is a very effecitve tool to recognize a target, which has important application in military and industry field. However, in actual applications, under some situations, such as complex target background or insufficient contour information etc., the intensity of correlation peaks will be weak. Sometimes, the weak intensity of correlation peaks can not be recognized by joint transform correlator. Wavelet transform is adopted to process the joint target image. The principles of joint transform correlator and wavelet transform are given in this paper. As an actual example, a tank target is adopted to test the feasibility and effectiveness of this method. From computer simulation, we can get good experimental effect. After wavelet transform of joint target image, the intensity of correlation peaks has been increased obviously. Optical experiments confirm the feasibility and effectiveness of this method further. Amounts of experiments prove wavelet transform can extract the target contour effectively. Based on the principle of the proposed algorithm, the target recognizing rate can be increased to a higher level.

Abstract: This paper analyzed the advantages and disadvantages of existing heat flux sensor calibration methods, proposed a calibration method of thermal heat flux sensor based on wireless sensor networks. Experimental results showed that the detection error was reduced from 6% to 2% after calibration. The proposed method has many advantages, such as short calibration time, accurate results, easy installation as well as batching calibration. In a word, this method is available to calibrate heat flux sensors and will have an important significance for accurate measurement of heat flux.

Abstract: Sensing technology is a rapid development of technology, is one of the main technology of modern information technology, developed countries in recent years the use of sensors in the information society a new understanding and evaluation, and sensor technology has been widely used in various fields. This paper mainly introduces the temperature sensor, pressure sensor, displacement sensor, the principle and application of the current sensor.

Abstract: Fuzzy C-means clustering algorithm (FCM) is widely applied to the intrusion detection. To acquire a better division for intrusion data, a new method (DEFCM) presented in the paper which combines FCM and differential evolution algorithm (DE) is found application. As a start, several randomly initiated partitions are optimized by FCM, and then the result is provided to differential evolution algorithm. After that, the combined result is sent to FCM again to adjust the partition and obtain the final answer. The method can improve detection performance effectively. The KDDCUP1999 data set is used in the simulation experiment, and the result proves that the DEFCM algorithm has a comparatively high detection rate in intrusion detection.

Abstract: To detect the moving vehicles correctly, we proposed a vehicle tracking method based on background model, fuzzy C-Means clustering and Grey model. In this paper, the background image is updated adaptively to accommodate vehicle detection in variable outer environment. The Grey model is employed to predict the center and number of C-Means clustering, solving the dependency of fuzzy C-Means upon clustering center of initial frame. The result of clustering provides updated data of Grey model for the position of target in the next frame. The experimental results show that, the method proposed improves both of the speed and accuracy of C-Means clustering, and promote the robustness and real-time of vehicle tracking system.

Abstract: 3D animation technology is introduced into a virtual fashion show to design a new fashion show of show creation system in this paper. This system combines image processing and reconstruction technology and Matlab software, the two methods and tools. Through the change of frame vector data, it realizes the reconstruction of image. In order to improve the speed of image capture and reconstruction, PCA algorithm is adopted to reduce the dimensions of the vector data of each frame image. This system makes The three dimensional animation technology and performing choreography get together, which has achieved better artistic effect of show design, and has provided technical reference for the computer design of virtual fashion show in universities.

Abstract: in volleyball movement process, there is greater uncertainty in velocity and position of movement. Using traditional algorithms for volleyball movement trajectory analysis, it cannot get changes situation of volleyball movement trajectory, resulting in that there is a big deviation in volleyball movement trajectory analysis, and the accuracy of analysis is decreased. To this end, this paper proposes a volleyball movement trajectory analysis method based on scale dynamic transform analysis algorithm. According to the related theory of attenuation memory, the key frame image in the process of volleyball movement is extracted, thus providing a basis for volleyball movement trajectory analysis. Utilizing scale dynamic transform method, the background of volleyball key frame image is separated, to obtain the volleyball movement trajectory in current frame image, so as to achieve volleyball movement trajectory analysis. Experimental results show that using the proposed algorithm for volleyball movement trajectory analysis can effectively increase the accuracy of volleyball movement trajectory analysis, and achieve satisfactory results.

Abstract: Analysis on the detecting parameters of GEO orbit satellite camera is of great significance in the design process of satellite camera, to some extent; it determines the parameters required for achieving the expected performance. This article introduced the parameter setting methods of GEO orbit satellite under different working conditions, which are commonly used in engineering; and it analyzed the influence of the setting of GEO orbit satellite camera’s detecting parameter on the performance of the final image under different solar illumination angles, times and seasons. And it also performed simulated analysis on the imaging process under the aerosol model using MODTRAN and MATLAB in different seasons at daytime without clouds in rural area of middle latitude, so as to calculate and simulate the signal-to-noise ratio change of the energy received by the camera in different regions, seasons and time frames, which has a guiding significance on the camera design process.

Abstract: Based on air pollution situation, make the ball with hydrogen floating in the air height of 50 meters as the aerial air pollution automatic detection mobile platform, based on sensor technology, embedded technology, thrust composite applications, GPRS, GPS and other hardware combined with the lower position machine applications、PC software system , conducted the system requirements analysis, software and hardware architecture design and description. The system solves the common aerial equipment’s problem of letting propeller blown air when detecting air parameters, using aerial balloon floating platform for air-parameter sensor automatically detects collection. Achieve operational automation, thus greatly reduce the work intensity of aerial air pollution monitoring and management, reduce the error of manual operation may occur, improve the efficiency of environmental protection, promote informatization construction of environmental protection work. This paper elaborates the overall design process of aerial air pollution automatic monitoring system.

Abstract: In order to reduce the random noise influence on local wave decomposition (LWD), the original data is adaptively denoised by lifting wavelet transform to strain mode aliasing in LWD, avoid the pseudo mode functions in LWD and improve the quality of LWD. Local wave marginal spectrum is employed to analyze vibration signal for extracting the characteristics information. Intrinsic mode functions obtained by LWD, the instantaneous frequency and amplitude can be calculated by the Hilbert transform. The improved local wave analysis can offer a measure of the energy distribution of vibration signal from its instantaneous frequency. Analysis and experimental result demonstrate the validity of the proposed method.