bluuebunny/crossref_metadata_2025 huggingface dataset:
Designing of People's Position System under Mine with ZigBee and LabVIEW
Authors: Huang Meng Tao , Wei Lu
Published: August 2014

The coal safety has always been the focus of attention. So it is important to monitor the location of the mine personnel and display it on the the monitoring computer for the timely and effective rescue when the mine disaster occurs. The mine personnel positioning system is made up of Zigbee and LabVIEW software. The system has a better performance in system security, data storage, positioning accuracy, report printing, etc. It has a higher degree of automation and more apparent display. The research focus on the communication of LabVIEW software and the lower computer, the data processing, real-time reports and historical data.
Rapid Quantification of Vitamin C in Navel Oranges by Near-Infrared Diffuse Reflectance Spectroscopy
Authors: Liao Yu Bo , Huang Long Sheng , Chen Xiao Lin , Liao Liang
Published: August 2014

In this paper, NIR diffuse reflectance spectroscopy as well as the PLS method was adopted for rapid determination of vitamin C in navel oranges. The GN method was employed to select calibration and validation samples. The spectral data in the region 900-1600nm were used for modeling. The coefficient of determination of the validation set is 0.8690, and RMSECV is 1.039mg/100g. The results suggest that NIR diffuse reflectance spectroscopy may serve as a strong tool for developing an on-line fruit sorting system.
The Reverse Modeling Analysis and Design on Compression Molding Bodies
Authors: Lai Hui Fen , Liu Xiu Min
Published: August 2014

To solve the problem it is difficult to accurately measure the curve surface, the forming mechanism of reverse engineering modeling approach is studied. Using the non-contact measurement of laser scanner, the point cloud data of the compression molding bodies is obtained, and it is introduced into the three-dimensional software CATIA to generate 3D model according to the molding processing point cloud and compression molding mechanism. In the last to generate the complete engineering drawings. Comparing the traditional design method, the method is mainly used for 3D parts reconstruction and design in surface shape is difficult to accurately expressed or unknown component shape design methods.
The Analysis and Discussion of Infrared Image Metrics
Authors: Zheng Xin , Tian Bo , Xing Yan
Published: August 2014

Aiming at the theory of infrared image quality evaluation, current image metrics are concluded and summarized in this paper. Meanwhile, 2 groups of contrast experiments are designed to get the values of 3 kinds of typical metrics (SV, TSSIM and TTSIM). Furthermore, the deficiencies of the current typical image metrics are analyzed in the light of the experimental results. What's more, the bottleneck and challenge of the infrared image quality evaluation are foreseen and the probable solutions are briefly discussed based on the results.
Study on Demand Design and its Value Measurement of Automobile Customer
Authors: Lv Chang
Published: August 2014

On the basis of the demand hierarchy theory and through the questionnaire survey, the rational consumption demand characteristics of automobile customers were obtained in the paper. According to the research objectives, and taking Huai’an automobile consumption market for example, the results of statistical analysis with the investigation content of age, income and career were given out. After establishing the value statistics model based on customer demand, and taking automobile insurance for instance, using the multivariate linear regression method and going through F checkout, the linear quantitative relationship between automobile insurance and automobile age, family income, the cost of buying an automobile was obtained, and the results were analyzed. A large number of sample statistics indicated that the service value link mainly was the link of automobile insurance, beauty decoration and maintenance.
Research of Interference Field Measurement and Error Compensation for Geomagnetic Navigation
Authors: Liu Guang Sheng , Guan Zhen Zhen
Published: August 2014

Aiming at removing interference field in the geomagnetic navigation, the technology of interference magnetic field measurement and error compensation are studied. The scheme of error measuring and compensating are designed, the compensation model is established based on the magnetic dipole theory, its calculation method is designed, experiments prove that this technology is of high accuracy and its process is simpler, it provides a new way for eliminating interference in the aeromagnetic survey.
Implementation of a Face Recognition System Based on the Video Stream
Authors: Yin Yong Hua , Zhu Quan Yin , Yan Yun Yang
Published: August 2014

Nowadays, face recognition has the rapid development with more in-depth study and more achievements. Many achievements have been applied in different fields which improves that the study of face recognition is valuable and meaningful. In this paper, a face recognition system based on the video stream is implemented. And the face recognition system consists of the following modules: face adding module, face recognition module, information querying module and global settings module. Among the all modules, face recognition modules is the core of the whole system in which completes the most of the work of the whole system. In practice, the results of the system are valuable and the system is able to meet the requirements of some applications.
Intrusion Detection Method Based on Sparse Expression for SVM
Authors: Yu Xian Ping , Wu Sheng , Xiong Hai Ling
Published: August 2014

This paper presents an intrusion detection method based on the sparse SVM (support vector machines). This algorithm is to achieve sparse expression for the network data by constructing a sparse base, which could reduce the number of data to be processed, and then use the SVM algorithm to carry out the classification, thus achieving the efficient intrusion detection for the network access behavior.
The Recognition Method for the Supersecondary Structure of DNA-Binding Protein
Authors: Yao Ming Hai , Wang Na
Published: August 2014

The structure of DNA binding proteins is identified that has great significance for the study of gene expression regulation mechanism.The new recognition method is proposed to identify the super-secondary structure and structure domain of DNA-binding protein in this paper. The nucleotide transition probability is calculated by the known DNA-binding protein binding locus sequence. Using mouse data which downloaded from the TRANSFAC establish the binding protein super-secondary structure recognition models. The probability score is calculated by the transition probability of the binding site and the background. This method differs from the conventional method, It is neither the amino acid sequence of the protein, nor the use of homologous proteins. In order to verify the validity of the algorithm, 10 DNA-binding proteins of drosophila and yeast are used to do the experiment. The experimental results show that our method has very good recognition result.
Network Intrusion Detection Method Based on RS-LSSVM
Authors: Wang Fang Nian , Wang Shen Shen , Che Wan Fang , Bai Yun
Published: August 2014

An intrusion detection method based on RS-LSSVM is studied in this paper. Firstly, attribute reduction algorithm based on the generalized decision table is proposed to remove the interference features and reduce the dimension of input feature space. Then the classification method based on least square support vector machine (LSSVM) is analyzed. The sample data after dimension reduction is used for LSSVM training, and the LSSVM classification model is obtained, which forms the ability of detecting unknown intrusion. Simulation results show that the proposed method can effectively remove the unnecessary features and improve the performance of network intrusion detection.
A Moving Object Detection Algorithm Based on ORB under Dynamic Scene
Authors: Luo Wen Hao
Published: August 2014

In this thesis, a moving object detection algorithm under dynamic scene is proposed, which is based on ORB feature. Firstly, we extract feature points and match them by using ORB. We then obtain global motion compensation image by parameters of transformation matrix based on the RANSAC method. Finally, we use the inter-frame difference method to achieve the detection of moving targets. The high speed and accuracy of ORB feature point matching method, as well as the effectiveness of the RANSAC method for removing outliers ensure accurate calculation of parameters of affine transformation model. Combined with inter-frame difference method, foreground objects can be detected entirely. Experiment results show that the algorithm can accurately detect moving objects, and to some extent, it can solve the issue of real-time detection.
Acid Emission Automatic Real-Time Sampling Monitoring System
Authors: Zhang Qi , Dai Lu , Chen Xiong
Published: August 2014

This paper introduces a novel on-line real-time monitoring system for acidic emission produced by acid pickling, which has been one of the greatest contaminant and major harness content. The system can monitor the HCL concentration in exhaust fumes on-line, and realize the real-time analysis and transmission of the acquisition data. HCL wet chemical sampling system form the whole on-line monitoring system. HCL wet chemical sampling system consists of integrated air velocity transducer, chloride ion analyzer, wet chemical sampling device and liquid level measurement device. It aims to collect HCL fog sample and convert the sampling analogue signal to digital data that can be analyzed. The system overcomes the influence by high temperature, high humidity and high concentration of dust. It realizes the monitoring, storage, analysis, warning and transmission of HCL concentration data in the exhaust. It is beneficial in practical industrial field and environmental protection.
The Influence of Notch Geometric Size in the Fatigue Strength of Steel
Authors: Yuan Yong Zhuang
Published: August 2014

The fatigue behavior of notch specimens has been investigated in this manuscript. It is shown that notch geometric size has apparent effect for fatigue strength of specimens. The blunt notch is used in test. It is concluded that geometric size effect depends on the stress gradient and can be estimated with the help of the linear elastic fracture mechanics. The influence of notch size for fatigue strength can be explained with geometric factor. The plastic strain play an important role in fatigue crack initiation with notch gets sharper reach certain magnitude limit, and fatigue strength is lower than the predicted by geometric size factor effect. The method does not apply fatigue strength of the sharper notch. Another estimation method shall be used to that kind of notches.
Wireless Concrete Construction Monitoring System Based on Mobile-Agent and GPRS
Authors: Yu A Long , Ji Peng
Published: August 2014

By monitoring and controlling the temperature and stress of concrete in the process of mass concrete casting, the temperature stress can be reduced effectively. In response to problems of traditional temperature and strain monitoring method, a new kind of distributed temperature and strain monitoring system based on mobile-agent and GPRS had been proposed. And also this system design a data integration middleware based on mobile-agent which verify the validity of the middleware through the experiment on Genomote nodes of network. Through GPRS network, remote data monitoring center receives data packets of temperature and strain of the concrete. The real-time display function of temperature and strain parameters was achieved by PC software programmed by Labview. The experiment show that the temperature acquisition value and the standard temperature error is within the scope of the permit (<1°C) and the system is stable, reliable for the needs of the remote monitoring.
Application of BN in the Fault Diagnosis of Brake Failure System
Authors: Liu Jian Hui , Zhang Jing Lin , Jin Ming Di
Published: August 2014

To solve the problems caused by the complex failure mechanisms in hydraulic brake failure systems and the uncertain linkages between fault type and fault symptoms, a method of Bayesian network (BN) is offered for failure diagnosis. A statistical strategy is adopted there in this algorithm on the rule base provided by many experts to discard the weak causal relationship rules while keep the relatively strong ones during the BN structure learning, and a BN-based model of layered architecture is established for fault diagnosis of hydraulic braking failure systems. Experimental data analysis shows that the Bayesian network fault diagnosis model has higher accuracy than fuzzy logic diagnosis method, effectively solving the uncertainties in fault diagnosis.
Visual Object Tracking Using Fast Three-Dimensional Discrete Cosine Transform
Authors: Lin Cong , Pun Chi Man
Published: August 2014

A novel visual object tracking method for color video stream based on traditional particle filter is proposed in this paper. Feature vectors are extracted from coefficient matrices of fast three-dimensional Discrete Cosine Transform (fast 3-D DCT). The feature, as experiment showed, is very robust to occlusion and rotation and it is not sensitive to scale changes. The proposed method is efficient enough to be used in a real-time application. The experiment was carried out on some common used datasets in literature. The results are satisfied and showed the estimated trace follows the target object very closely.
A Combined Malicious Documents Detecting Method Based on Emulators
Authors: Gao Xiang , Yu Min , Jiang Jian Guo , Qiu Xin Liang , Liu Chao
Published: August 2014

ShellCode injections with malicious JavaScript code in documents are becoming more prevalent and dangerous. However, the existing methods have some limitations in detecting this kind of attacks. In this article, we explore the detections of malicious documents and propose an approach of detecting malicious documents that contains JavaScript ShellCode. In our approach, we provide an impact factor which represents the reliability of the document being malicious. We use both static detections and dynamic detections and then combine the results of the two different methods. Therefore, we can get an acceptable overhead and make the detection immune to obfuscation. We have implemented a proof-of-concept prototype of the detection system on a Linux platform. We also have evaluated the accuracy and the performance overhead on the test platform. The results show that the system reports very few faults with an acceptable overhead.
Research on Grain Storage Insect Image for Automatic Identification
Authors: Hou Ying , Wang Gui Cai
Published: August 2014

According to prevention level of grain storage requirements and granary actual situation, a novel grain storage insect image for automatic identification algorithm was presented based on features point and stereo matching. Firstly, pyramid delaminating was used to preprocess target image. Then, image normalized could be obtained according to formula. Secondly, the SIFT features points could be extracted from reference image and target image. Finally, according to epipolar constraint and the straight line slope of pass through features matching points, The paper could be successful to automatic identify grain storage insect. The results of experiment with the really grain storage insect images shown the proposed algorithm was effective and could obtain high recognition rate.
Research on Tailings Pond Online Safety Monitoring System Based on Zigbee Sensor Network
Authors: Zhang Da , Wang Li Gang , Yang Xiao Cong
Published: August 2014

In the process of design and construction of tailings pond online safety monitoring system, There are often a series of problems such as the system structure is too complex, construction difficult, high maintenance cost etc. In order to change this situation, the design of tailings dam safety online monitoring system based on Zigbee wireless sensor network with self-healing function is unveiled, the system based on the concept of distributed acquisition, built Zigbee wireless sensor network, transmit the collected data wirelessly in the monitoring range of the tailing pond, play advantages of Zigbee technology in low power consumption and self-healing feature, and did data collection, storage, query and other operations in real-time, In this way, we could reduce the difficulty of construction, greatly improving the stability of the system communication, and can expansion or change the system conveniently, so as to meet the requirements of real-time monitoring the safety state of the tailings pond efficiently for long-term.
Supported by: National Science and technology support program (2012BAK09B04、2012BAK09B03) the National High Technology Research and Development Program ("863"Program) of China (2011AA060406)International S&T Cooperation Program of China (ISTCP)( 2011DFA71990)
Realization and Design of Mobile Video Surveillance Client Platform Based on Smart Phone
Authors: Chen Wei Bing , Zhang Gang Lin , Feng Lu
Published: August 2014

To realize video surveillance at any time and any place, a kind of video surveillance platform based on 3G smart phone was designed. In this paper, the general design scheme of video surveillance system was firstly introduced. Then, the surveillance software development method of smart phone client, the transmission mode and transmission protocol of surveillance video were also emphatically described. This system used SVAC which is kind of specifying surveillance video to meet security-monitoring demand. It used multi-image display to realized multi-channel video surveillance, and also used multi-thread to increase the running speed of software. Experimental results demonstrate that it can obtain stable real-time surveillance video.
Study of Intrusion Detection Based on Genetic Algorithm and Rule
Authors: Xu Li Wen , Qiao Li Juan , Ou Xun Yong , Zhang Kun
Published: August 2014

The rapid increase of information technology usage demands the high level of security in order to keep the data resources and equipments of the user secure. In this current era of networks, there is an eventual stipulate for development which is consistent, extensible and easily manageable, with low maintenance cost solutions for Intrusion Detection. Network Intrusion Detection based on rules formulation is an efficient approach to classify various types of attack. DoS or Probing attack are relatively more common, and can be detected more accurately if contributing parameters are formulated in terms of rules. Genetic Algorithm is used to devise such rule. It is found that accuracy of rule based learning increases with the number of iteration.
Analysis and Optimization for Lead-Free Reflow Soldering Process Parameters of SMA Based on 6 σ Method
Authors: Dai Xuan Jun , Huang Hong Yan
Published: August 2014

The reflow soldering process under infrared hot air environment was simulated based on a typical BGA SMA and a twelve-zone reflow oven. Then the optimal soldering process parameters were obtained based on 6σ analysis method and related software. The results could be used to direct the lead-free soldering process parameters setting, and the soldering quality was ensured effectively.
Temperature Measurement System of Roller Kiln Based on Colorimetry
Authors: Jia Hua , Guo Xiao Yang , Dai Ying Chao , Wu Jian Shuai
Published: August 2014

In order to overcome the shortcomings of the traditional temperature measurement method which can only acquire the single point temperature or local temperature in the production process of roller kiln, In this paper, according to the principle of colorimetric temperature measurement, using the method of image preprocessing, designed a temperature measurement system based on CCD image sensor. The system can monitor and measurement the internal temperature of the roller kiln, and can obtain the global distribution of temperature field. According to the standard value method ,the system is calibrated using a blackbody furnace, to increase the detection precision and accuracy of temperature.The experimental results show that the system has high accuracy, can real-time reflect the global temperature field distribution of the roller kiln ,and the system has the great potential of industrial application.
Primary Establishment of LAMP Method for Cyprinid Herpesvirus 2 Detection
Authors: Yang Ze Xiao , Li Gui Li , Wang Yin , Yao Xue Ping , Wang Kai Yu , Peng Shan Zhen , Wang Bo , Ya Hou Xun , Ren Ran Yang
Published: August 2014

A new loop-mediated isothermal amplification (LAMP) method for the detection of Cyprinid herpesvirus 2 (CyHV-2) was developed. Following the synthesis in vitro of a 413 bp DNA fragment of CyHV2 DNA-dependent DNA polymerase gene by overlap extension PCR using 11 overlapping oligo primers designed according to the gensome sequences information of CyHV2 published in GenBank, a set of 6 LAMP primers were designed based on the synthesized DNA fragment, and the LAMP assay was primarily established after preparation of target gene fragments, optimization of reaction conditions, products identification, sensitivity and specificity tests. Results showed the developed LAMP assay was a rapid, specific and sensitive method for CyHV2 detection, with a ladder-like pattern of amplification bands from about 177 bp incubation at 64°C for 30 min by using agarose gel electrophoresis. The detection limit could reach about 15 copies of cloned viral genomic fragments, and no cross reaction with Aeromonas veronii, Aeromonas hydrophila, Pseudomonas fluorescens and Streptococcus common pathogens isolated from fish detection by this approach.
The Design of Three-Dimensional Computer Room Monitoring System Based on Unity3D
Authors: Jiang Kun , Zheng Fu Yan , Teng Hai Kun
Published: August 2014

Based on the Unity3D platform, using 3D MAX as the modeling tool, and the combined with the JSP and the C# to realize the interactive design, through the integration and XML integration, Completed the 3D engine room monitoring system design and implementation, practice shows that, Unity3D has a good network of 3D display and interactive function, it will have broader prospects of development in the virtual platform development, virtual reality technology has important strategic significance in the development of enterprise information management.
Accuracy Analysis of Highly Kinematical Positioning of GPS
Authors: Zhan Jie , Yuan Lin , Wu Yin Lin
Published: August 2014

For the accuracy of highly kinematical positioning of GPS carrier phase is not easy to be obtained directly, a data processing method is presented based on the analysis of several common kinematical positioning accuracy analytical methods. The method firstly analyzes and models the state of motion carrier, and then conducts a statistics variable composed by multiple positioning data , Finally uses a determined relation between the variance of the statistics variable and the variance of the positioning error to gain the variance of positioning error by calculating the variance of the statistics variable. The test results show that the method is effective for random error characteristic analysis.
Research on a New Radar Antenna Pattern Measurement Method
Authors: Li Jia Cheng , Ma Yan Heng , Yin Yuan Wei , Song Yao , Xie Zhen Hua
Published: August 2014

. The traditional radar antenna pattern measurement has high cost and complex procedures. With the flexibility and low cost of small rotor UAV, we propose a new radar antenna pattern measurement based on UAV platform. In the following we will analyze the traditional radar antenna pattern measurement techniques and its shortcomings. Then we suggest a solution based on UAV and expound the key technologies. At the end we analyze the difficulties and errors that may occur in engineering practices, which provides basis for the next project implementation.
Testing Method Discussion of FM Simulcast System
Authors: She Fang Yi , Kang Jian Hua , Yang Fang Zheng , Xu Chao
Published: August 2014

This paper introduces the development of FM simulcast, as well as the specific implementation methods and requirements of FM simulcast system for "Triple Same" and "One Guarantee". Finally, this paper takes the same frequency overlay network of JingJinTang highway as example, furthermore, details the FM simulcast system how to accomplish the testing of the same frequency, the same modulation, the same phase and cover the field strength.
Tool Wear Detection Based on Visual Saliency Mechanism
Authors: Wei Chan Chan , Guan Sheng Qi , Wu Fu Jun , Xu Shuai Hua
Published: August 2014

Aiming at the characteristics of tool wear, a method is put forward for rapid detection, Firstly, extracted the tool image gray feature and formed gray feature image; Secondly, approximate sub-graph of three layers wavelet decomposition is treated by center-surround difference operations; On this basis, the significant images is formed by the fusion of feature saliency map. Finally, tool wear is detected through the segmentation method of oust variance and eliminated background texture information by region growing method. The experimental results show that the method can be effectively used in the monitoring of tool wear.
Research on Real Time Automatic Acquisition System of Parameter Detectionequipment Department Component Based on WCF
Authors: Deng Da Quan , Liu Yan Hong , Song Xiang Jun , Wei Shao Mou
Published: August 2014

The acquisition system realize custom on the equipment component detection based on multi-source heterogeneous parameters by .NET framework of WCF technology, real time automatic acquisition, real-time transmission, to solve the data acquisition and transmission of multi-source heterogeneous data. Acquisition system using this technology is real-time, good integration, scalability, high efficiency.
Study on Calibration Method for Explosion Pressure Test System
Authors: Liu Geng Ran , Zhang Xing Gao , Zhao Xin
Published: August 2014

The segment sensitivity for various pressure sensors is obtained by implementing the static and dynamic calibrations for three types of pressure sensors, i.e., CY-YD-202, CY-YD-205 and CY-YD-203T, and the average absolute value of relative errors for sensors is obtained by measuring the dynamic high-frequency signal, which provides the basis for correct selection of pressure sensor during the test.
Research on Intelligent Monitoring and Warning System of Highway Express Fog
Authors: Liang Jie , Guan Zhi Guang , Fan Kai Qiang
Published: August 2014

Because of the influence of fog and other inclement weather, traffic’s low visibility and the highway’s traffic accident often occurred, which caused very big loss to people's life and property. For the disaster area, there are no ways to access the information and transmit in time, so establishing a system to eliminate the low visibility has a very important significance of random fog, low visibility caused by traffic accident in short time. The result shows that the system has high precision and reliability.
Linear Target Feature Extraction Applied in Target Identification
Authors: Zhao Man , Cui Jin Jiang , Wu He Nan , Yang Guang , Jiang Da Yong
Published: August 2014

Linear target is the most widely used in remote sensing image. Effective extraction of the linear target can make us reduce a lot of practical work, thus greatly improve the target extraction and identification of timeliness. According to this situation, in the process of building a recognition system, the recognition efficiency can be realized by joining human recognize and identify, combining with the intelligence of computer processing and powerful place. So in this paper, the method based on edge detection and Hough transform algorithm is exploded. Line Extraction and Target Recognition System is developed. The system is realized under Windows operating system. The tool is Visual C++ 6.0 software. The platform is MFC functions. The system is written in C++ language. The characteristics of the system are the strong pertinence and the simple operation. When the system is applied safely, the results are definite and clear.
Research on Road Target Recognition Method Based on Optical Image
Authors: Zhao Man , Cui Jin Jiang , Guo Fei , Zhao Mei , Jiang Da Yong
Published: August 2014

With the development of science and technology, optical images with very high resolution have been able to provide a large amount of information. Therein the road target is the most widely used in optical image. Road target detection and recognition is extremely important for reducing a lot of practical work and greatly improving the efficiency of the target extraction and identification. Aimed at this problem, we propose a road target recognition method based on optical image.The method is realized by joining human recognize and identify, combining with the intelligence of computer processing and powerful place. So in this work, the method based on edge detection and Hough transform algorithm is exploded. The man-machine interactive recognition system (Road Target Extraction and Recognition System) is developed. The system is realized under Windows operating system. The tool is Visual C++ 6.0 software. The platform is MFC functions. The system is written in C++ language. The characteristics of the system are the strong pertinence and the simple operation. When the system is applied safely, the results are definite and clear.
Design and Implementation of Large-Scale Visual Vehicle Monitoring System
Authors: Liu Qun , Shen Yan Guang , Cui Wei Miao
Published: August 2014

The safety and reliability of large-scale visual vehicle monitoring system receives the user's attention. In this paper, the status of the development of vehicle monitoring system is analyzed, the necessity of developing scalable component-based vehicle monitoring system is discussed and a practical extensible system model based on component development is proposed. Through this article, it can demonstrate that the design meets to the performance requirements.
Research on Hybrid Automation Method for DCS System Defect Test
Authors: Zhu Heng Jun , Fan Jia Lin
Published: August 2014

As the development of information and automation, expense and aftereffect are severer caused by software defect. This paper represents synthetic retrospect of advanced research process, including data and example of system defect, data-mining system, software test management and standard procedure at domestic and overseas. Employing hybrid automation to obtain location, classification and description of system defect in tests, automation system is established for creditability measurement, standard evaluation with dominance of exploiting effectively and extensible, without heavy workload.
The Agricultural Products Deterioration Recognition Based on Computer Vision
Authors: Niu Xiang Jie , Lan Bin
Published: August 2014

The computer vision technology is an important branch of computer science and artificial intelligence which is regarded as a non-destructive testing technique in the field of agriculture with a broad application prospects. This paper introduces the application of the computer vision technology in the agricultural products deterioration recognition, builds foundations for the accurate measurement of the agricultural products quality with computer visions, and establish the relationship between the feature information and quality of the agricultural products. Meanwhile, this paper combined the computer vision technology with infrared, microwave, NMR techniques to extract and test the visual information of the internal quality of the agricultural products.
Research on the Interference Signal Separation and Purification Technology in Computer Network Intrusion
Authors: Zhang Li
Published: August 2014

in the process of computer network communication, different signals subject to different communication protocols and with different signal characteristics. After invading, an entangled state which cannot be constraint formed between the signals. The characteristic differences in the polarization domain between invasion signal and communication signal is significantly reduced, and it is not easy to purify. To solve this problem, in this paper, an novel intrusion signal classification model of orthogonal polarization array is established. According to the signal loss characteristics changed by the invasion polarization, it can achieve the characteristics separation of desired signal and interference signal in the region of the polarization. the interference immunity of the separated signal is performed by a simulation analysis, it can proved that taking this vector signal processing approach not only extends the capabilities of invasion signal processing in multi-signal communications, and can significantly improve the performance of interference resistance of multi-signal network communication system.
Fire Detecting System Design under the Mainframe Computer Vision
Authors: Yu Ming Yi
Published: August 2014

This paper focused on the fire detecting problem. Traditionally, fire was detected based on the frame difference by subtracting the image pixel. When there existed background similar to its flame color and shape in the environment where the fire happened,, the result of frame difference subtracting is not obvious and the algorithm cannot detect the fire problem according to the result. This paper put forward a fire detecting method based on support vector basis algorithm. The experiment indicated that this kind of neural network model achieved precise fire detecting under the background similar to itself, efficiently decreased the detecting error rate, and obtained satisfactory results.
The Faults Detection Methods for Embedded Equipment
Authors: Wang Bin
Published: August 2014

Due to the objects in the embedded control procedure are difficult to obtain a variety of fault data and fault features, it’s necessary to establish simulation models in accordance with the operational mechanisms of the embedded equipment to simulate and diagnose the practical faults. This paper proposes a SVM integrated diagnostic method and further proposes the faults classification model with improved neural network. The faults diagnose performance is greatly improved by analyzing the types of the faults in different facets. For the embedded valve failure modes, the simulation results of the proposed method are compared with that of the previous mature independent element analysis method. The simulation results show that the fault diagnosis method in this paper can effectively improve the speed and accuracy of fault diagnosis for the embedded equipment.
Object Tracking System in Dynamic Scene Based on Improved Camshift Algorithm and Kalman Filter
Authors: Liu Chao Bing , Chen Cong Cong , Li Xiao
Published: August 2014

Camshift, namely "Continuously Adaptive Mean-Shift" algorithm, is an adaptive tracking algorithm. This algorithm is based on the color information to track the moving target in image sequence. In the simple background, this algorithm achieved a steady and current tracking effect. But in dynamic scene, the global motion caused by the camera, the background of the light and occlusion will affect the accuracy, or even lose the tracking of the target. In order to solve the above problem, this paper adjust the H component in HSV color space, as well use weighted color histogram to improve the Camshift algorithm, then combined with Kalman filter to track the target in the image sequence. The experimental result shows that this approach can track object stability and correctly in dynamic scene.
System Design on CAN BUS Based on Computer Repair Detection
Authors: Li Jia Min , Wang Yan Mei
Published: August 2014

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.
Two Algorithms of Defect Detection about Digital Radiograph Image
Authors: Tian Kai , Shi Jia Rong , Yang Chun Xiao , Ji Fei Yu
Published: August 2014

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.
A Dimension Reduction Method and its Application in GIS Partial Discharge Pattern Recognition Research
Authors: Lv Fang Cheng , Jin Hu , Wang Zi Jian , Zhang Bo
Published: August 2014

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.
Study on Single-Phase Earth Fault Location Method in Mine Non-Effectively Grounded Network Based on WAMS
Authors: Lu Dan , Liu Jun Qiang , Yin Xiu Gang
Published: August 2014

In allusion to the low reliability and sensitivity of existing single-phase earth fault location method, this article proposed a new location method based on WAMS in mine non-effectively grounded network. It analyzed the logical relationship of zero-sequence current of each branch when single-phase earth fault occurred and deduced zero-sequence current formulae of each branch. The detailed description is given to calculating differential variable of zero-sequence current and explicating principle and realization of fault section location. The coal mine power supply model based on WAMS is introduced and the scheme was verified by simulation via MATLAB and calculation via Fast Fourier Transform. The results indicate that it avoids influences by load capacity and the voltage initial phase angle, then effectively enhances fault location reliability and sensitivity.
Speech Feature Parameter Extraction and Recognition Based on Interpolation
Authors: Meng Ying Jie , Liu Wen Jun , Zhang Rui Zhi , Du Hua Song
Published: August 2014

The research of the existing speech recognition is based on speech feature parameter, acco-rding to the shortage of poor anti noise and larger storage capacity, etc. So, curve interpolation has been introduced into speech feature parameter extraction to enhance that. Refer to the speech spectrum dynamic changes and the short-time energy smooth stationary characteristics of speech signal, this paper puts forward and designs an arithmetic of speech feature parameter extraction based on interpolation, constructs the feature parameter extraction and personal identification scheme based on speech, and also designs critical modules algorithm. The detail process of feature parameter extraction: firstly, it creates two-dimensional coordinate for each frame data. Then, according to two-dimensional coordinate, it performs Lagrange cubic interpolation for segmentation the data in a signal frame. Get the interpolation coefficient, average the interpolation coefficient for a signal frame, here the average value is seen as the feature parameter for each frame. Lastly, the each frame’s feature parameter is connected in series to form feature parameter of the speech segment. The arithmetic has been simulated an experiment, in order to confirm the applicability and feasibility. The results illustrates the method has preferable anti noise performance, especially expression and storage for overall speech segment feature parameter show more obvious advantages.
Monitor System and Safety Status Analysis of Large Power Equipment Transportation
Authors: Guo Xiao Long , Liang Li Sheng , Wu Lan Min , Zhou Guo Hua
Published: August 2014

To assure the safety of large power equipment during transportation, we developed the vibration model of large power equipment in transport process, derived the prediction model of allowed values of vibration before and during transportation. An online management and control system for large power equipment transportation with real time monitoring function was developed, in which the back-off algorithm based on warning priority was introduced in data transportation of wireless sensing network. The system changes the current offline recording of vibrations and other factors to online monitoring. Combined with prediction model, the system effectively prevents the damage of large power equipment during transportation.
Feedback Clustering Algorithm for Detecting Approximately Duplicate Records
Authors: Hu Dong Mei , Zhou Xiao Feng , Chen Xiao Feng
Published: August 2014

Detecting and merging approximately duplicate records is not an emerging issue in the field of data cleansing, the majority of duplicated records detecting method is based on the "sort-merge" thinking. Although clustering methods have been applied to data cleaning, a large number of non-duplicated records exist in clusters after analysis as a result of the increasing records. Response to this shortcoming, this paper presents a data cleansing method based on Clustering Feedback Pattern. Comparison results of clustering are fed back to the cluster process so that recall and precision improve.
A Geometric Method for Near Sea Target Localization Based on GNSS-R in Passive Radar
Authors: Lyu Pei Shan , Xiu Chun Di , Ji Wen Xing
Published: August 2014

This work presents a new approach to locate targets near the sea surface based on Global Positioning System Signal Reflected (GNSS-R) in passive radar system. The algorithm uses an angle measuring system to obtain the elevation angle and the azimuth angle of the target’s reflected signal. This method makes use of traditional geometric method to achieve a precise position of target without estimating its height. The approach can successfully localize a target that is over 700km away from the receiver. It has a low localization error which has a over 80 percent chance less than 1 kilometer. Computer simulations are provided to demonstrate the effectiveness of the proposed scheme.
Visualization of IDS Logs Based on Regular Polygon of Even Sides
Authors: Zhang Jian , Zhao Li Jun
Published: August 2014

In the field of network security, logs analysis is an efficient protecting measure. But it couldn’t meet with the requirements of dealing with threaten rapidly and responding at real time only with security administrator’s analysis of abundant multidimensional IDS logs. Visualization of multidimensional data is applied in information cognition and decision, with people’s perception of graph and advanced technology of computer’s dealing with abundant data. A frame of visualization in intrusion detection is proposed according to the process of visualization and intrusion detection. And then a simple efficient attribute encoding is put forward. K-dimensional logs are converted to the right regular polygon of even sides (RPES) using optimization algorithm. The experiments show that this method offers more dimensional distribution information and implicit knowledge and help security administrator to make efficient decision.
Study of Remote Monitor System for Simulation Elevator Based on EPA
Authors: Pu Cui Ping , Ren Jie , Feng Wei Jie , Zhang Shi Wang
Published: August 2014

The design and implementation of the Remote Monitor System for Simulation Elevator Based on EPA were appeared. The Remote Monitor System consists of the device layer, control layer, the server layer and client layer, the monitoring software, configuration software and so on, which implements to the simulated elevator data acquisition and intelligent control of output and remote monitoring.
Network Security Behavior Recognition Based on Consensus Decision-Making Feature Selection
Authors: Yu Yang , Mao Li , Wang Xiao Feng
Published: August 2014

Due to the large amount of network data and complex representation, traditional network security behavior recognition system always leads to high redundancy and dimension, resulting in taking up more resources, larger computation. To solve this problem, we do the features selection. This article presents a consensus decision-making method, which combines current famous feature selection algorithms to obtain a more reasonable result and to sort the features in order of importance to facilitate the appropriate selection of features under different conditions. With this method tested on SVM (Support Vector Machine) as classification algorithm, it proves that the algorithm effectively improves the recognition accuracy with fewer features and performs better in terms of result stability.
Modeling and Stiffness Characteristic Analysis of the Semi-Active Interconnected Air Suspension
Authors: Sun Li Qin , Cui Zhen
Published: August 2014

Based on structure and working principle of semi-active interconnected air suspension, whole vehicle dynamic model including interconnected air springs system model, damper model, vehicle body and tire model is established. The changes of parameters such as connect pipe diameter, unilateral or bilateral excitation input phase difference that have effect on the air spring stiffness characteristic are simulated when air springs in the interconnected condition. The simulation results show that, interconnection of air springs can reduce the stiffness of air spring, and vehicle ride performance and riding comfortable performance can also be improved effectively.
Measuring a Composition Event Representation Model Based on Multi-Tuple for Cyber-Physical Systems
Authors: Wang Hui Lin
Published: August 2014

Representation model of composition event is a very important issue in the study of composition event. Aiming to solve the problem of no well reflecting the spatial-temporal characteristic of CPS (Cyber-Physical Systems) in current composition even models, a representation model of composition event based on multi-tuple is proposed for CPS in this paper. The contribution of the paper lies that we use five tuples: object, time, space, event and property, to represent a composition event of CPS, which not only can more comprehensively reflect the spatial-temporal characteristic of CPS event, but also can reflect the some dynamic change features of external environment. The simulation results show that our proposed scheme has several advantages in reducing event average error rate compared with some general event model methods.