Applied Mechanics and Materials Vols. 602-605

Abstract: In this paper we use parallel computation to improve computer action detection and recognition system, use of VC programming control to realize parallel calculation algorithm, use Step 7 software to establish data interface of parallel communication, which realizes the data parallel exchange. Finally we design the computer system of human action recognition and optimization, and introduce the system into the design and development of free combat movement. In order to verify the effectiveness and stability of the system, we carry on debugging on the program, and obtain the test results curve of VC++ debugging. At the end of this paper, we use visual visualization function of VC program to achieve the visualization display of free combat movement. According to the visual display we can guide physical teaching. It provides a new computer method for research on free combat sports curriculum.

Abstract: In this paper, the genetic algorithm for the key point of image capture is improved, and the joint programming of VC and Matlab is used to achieve data transmission, the FAB body identification system signal that collected with VC was processed by Matlab software, eventually Tai Chi chuan movement design computer system has got. In order to verify the validity and reliability of the platform, taking the movements development of Wu style Tai Chi chuan and 24 style Tai Chi chuan for example, this article has performed three-dimensional simulation design on Tai Chi movements. The time curve of the knee joint displacement and the average angle table of knee movement have been got by the computer design platform of Tai Chi movements, which provides digital technology support for the study of tai chi movements design.

Abstract: This paper introduces genetic algorithm in sensor path loss model, improves the target recognition function of sensor, and obtains the sensor target recognition method with relatively high resolution. We use MATLAB software, M function and genetic algorithm toolbox of MATLAB to design the algorithm, and apply sensor target recognition method in the identification of free combat action, and design the free combat movement recognition system based on wireless sensor. In order to verify the effectiveness and reliability of the system, this paper recognizes a set of continuous and rapid transformation of free combat movement, and obtains the curve of action recognition number changing with time, and the continuous action is displayed in the form of visualization. It provides the technical reference for the design of the free combat movement.

Abstract: In this paper, we use the Windows as computer operating environment, VC software as development platform, USB and Access as data interface, and design the CAN bus detection platform of vehicle maintenance, and use parallel technology to improve the platform function. Improved detection platform has the capacity of parallel computing, which greatly improves the speed of vehicle maintenance. In order to verify the effectiveness and reliability of detection platform, we use the CAN bus hardware as a test environment to test the CAN bus detection platform. Through the test we found that, during the same range of detection time, method of CAN bus will detect more times than general detection method, the fault detection rate is higher, which is a very effective method for detecting and repairing automobile. It provides the technical reference for the study of automobile repair and detection.

Abstract: Due to the development of image segmentation and reconstruction technology, it provides a larger space for development of the image enhancement technology. Under the promoting of the image processing calculation, the capture and recognition function of digital X-ray photography technology are stronger, and the image processing precision is higher. Based on the variation principle, this paper uses the function approximation to improve the X-ray photography image processing technology, and obtains the new boundary value reconstruction condition of X-ray photography. In order to verify the effectiveness and reliability of the mathematical model and algorithm of the boundary value reconstruction, this paper uses MATLAB software and C language to debug the algorithm, and realizes the digital color rendering for the images at the terminal of track and field, obtains the image reconstruction algorithm under different boundary values. It provides a new computer method for the research on image enhancement technology.

Abstract: many factors need to be considered in layout and distribution of wireless sensor nodes; in addition to the general features of common monitoring sensors, such as economic factors, environmental factors, detection accuracy factor, etc, some particular features should be fully considered, such as intensity, large-scale rapid layout, early warning and monitoring of critical structural components and important areas, as well as its redundancy. Basing on the Modal Energy Method, the paper proposes an optimal sensor layout algorithm available in improvement of modal strain energy method, and such the method is simple and quick, with certain practical value.

Abstract: Defect detection is necessary before the use of industrial castings. DR (Digital Radiograph) system has a broad application prospect because of high detection efficiency. The CV model is an image segmentation method with high accuracy, but its segmentation result is not perfect in the case of strong edge. As a common image segmentation method, region growing has simple calculation as a result of using the space character of the image. In this paper, the defect detection about DR synthetic color image of railway truck side frame was conducted by CV model and the region growing methods, and segmentation achieved good results.

Abstract: A selective method was developed for the determination of aspirin by Spectrophotometric method .The spectra (range: λ=200~320 nm) were processed. The linear ranges of aspirin was at 50.28 ~ 125.7μg • mL^-1 .the aspirin showed good linear correlation.The ultraviolet spectrophotometry data of the samples were also used to evaluate the samples’ quantitative composition.It was shown that recovery of the method by standard addition method was respectively valued 102.06% for aspirin .The method was simple,reliable,accurate,reproducible with high sensitivity and selectivity.

Abstract: With the wide adoption of the computer and network communication technology in our daily life, electronic business technology has seen a rapid development all over the world. It is common for electronic commerce websites to enable their customers to write reviews of products that they have purchased. Unfortunately, reviewers may write some untruthful opinions in order to promote or damage specific products reputation which called review spam. Product review spam detection makes an attempt to find untruthful opinions. In order to find the review spammers, the paper presents a review spam detecting based on sentiment analysis. Three feature behaviors of review spammers are recognized, including targeting at product type, targeting at product brand and targeting at product seller. The review spam detecting method based on sentiment analysis is suitable for detecting review spam, and is efficient and effective.

Abstract: GIS partial discharge pattern recognition is an important part of its state evaluation, authors have set up 252kV GIS partial discharge detection simulation experiment platform based on UHF detection method, and designed four kinds of typical partial discharge models in laboratory, then established corresponding UHF signal mapping database through the experimental method, and also extracted the original feature parameters; because the original characteristic dimension is high, which is bad for pattern recognition, based on this, the article uses a species mean kernel principal component analysis method, it mapped the partial discharge original data samples to high-dimensional feature space, at first, it calculate all kinds of class mean vector data, and then do principal component analysis based on class mean vector space, build the class average kernel matrix, at last, the class kernel mean principal component analysis algorithm is established. Results show that characteristic of this method contained all the information of the original data, and dimension is less than GIS insulation defect category numbers, and it can realize data dimension reduction without information loss, which improve the pattern recognition rate.