bluuebunny/crossref_metadata_2025 huggingface dataset:
The Design and Implementation of the Teaching Platform of Communication Interface of a Comprehensive Communication System
Authors: Liu Jun Xian , Zhou Quan Zhi , Liu Qiong Li , Luo Shao Peng
Published: March 2015

A certain type of communications system integrates various communication means and communication technology, covering more than 10 kinds of communication interfaces, which has a high demands for its maintenance and security personnel. By utilizing a variety of communication technology design and development of communication interface teaching platform detection of a comprehensive communication system, this paper solves the problems of no training facilities in the maintenance and support personnel training and non-intuitive and non-systematic testing training and so on.
Research and Design of Harmonic Analysis Module on Intelligent Power Grid
Authors: Zhang Si Hui , Yang Wei , Chen Zhuo
Published: March 2015

There are various kinds of damage caused by large amount of harmonic in power grid. The research object of this paper is the harmonic in power grid. A simple and practical harmonic detection program is studied. And the harmonic analysis module is completed. First the principle of harmonic generation is analyzed. And then, the signals of the voltage and current in power grid are collecting. At last, the hardware and software of the module are designed. The signals are analyzed and calculated by the module. The harmonic content is put out. The test proved that the module has the advantages of high precision, good reliability and low cost. It can be used on a variety of equipment.
The Application of Cross-Media Retrieval Technology Based on Ontology
Authors: Zhang Hao , Xu Gong Wen , Guo Wan Rong , Liao Ming Hai , Xu Chun Xiu , Zhao Qian , Zhao Hong Luan
Published: March 2015

As a large number of the multimedia information emerges, the cross-media retrieval system becomes an important research focus. The cross-media retrieval system is based on the traditional content retrieval, extracting color, texture, and shape features vector of the images. A new method was carried out in this paper. Firstly, the uniform semantic representational framework was built to organize the different mode media heterogeneous characteristics. Secondly, the Ontology database representing each type of media concepts was set up. The Ontology database organizes the low level features of the multimedia objects to associate multimedia files in the semantic level. Thirdly, the cross-media retrieval algorithm based on ontology was introduced. The results of the experiment showed that this cross-media retrieval method based on the Ontology was more effective and accurate.
Design and Application about System of Plant Science Popularization Based on the QR Code
Authors: Han Jing Hua , Li Ming Jia
Published: March 2015

Plant is not only closely related to human beings’ life, but also an integral part of raw materials in production. Protection of nature and plant resources is an increasingly urgent needs around the world. Cognition is a prerequisite for the protection of plant. But the way of plant science popularization is old, the knowledge of plant is too obscure to the general public. The system of plant science popularization based on the QR code spreads the knowledge of plant with illustrations interactively, to facilitate ordinary users to learn, understand and identify plant species. The article will detail all aspects of development of the system, allowing more scholars to understand the digitized plant science popularization under the new media.
Design and Implementation of Online Examination System
Authors: Tian Hong Yun
Published: March 2015

In order to achieve a paperless office, to improve test efficiency and save costs, we develop an online examination system. The system is designed by JSP technology and SQL Server database. Through two years of use proves that the online examination system facilitates and simplifies the test process, and makes the teacher complicated free from the examination process and has more time to study the teaching and the scientific research. The system has saved printing papers costs and office expenses. Online examination reflects the characteristics of the course Network Information Retrieval and solves the problems that paper test can not comprehensively inspects the student's ability of application.
Research and Design of Cloud Integrated Multiple Identity Authentication in Digital Classroom
Authors: Song Jun Ke , Liu Xian Zhong
Published: March 2015

Rapid development of information technology in education not only leads to great changes in the field of education, but also results in some security risks. How to ensure the safety of teaching resources has become a hot topic in current research in the teaching system with the cloud-terminal integrated digital classroom as scene. In the paper, importance of identity authentication mechanism is proposed by analyzing defects of cloud computing firstly, multiple identity authentication technologies are adopted for privacy protection of data. Features of four technologies, password authentication, smart card authentication, USB key authentication and biometric authentication, are analyzed in details. A set of multiple identity authentication system is designed and realized. The system is designed in Detailed system architecture is designed in the system for improving dynamic password technology and fingerprint recognition technology for ensuring data operation of legitimate users. Mobile terminals should be combined as example, and actual test can be conducted aiming at account recovery, remote data destruction and other demand after unexpected loss of smart terminal equipment. The result shows that the system can ensure accuracy and reliability of account and hardware equipment with excellent test effect.
The Electric Vehicle Drive System Considering Current Sensor Fault
Authors: Ye Hang , Fu Xiao Jin , Zhang Zhou Yun , Que Chun Lan , Xiao Hao
Published: March 2015

This paper proposes an algorithm of electric vehicle drive system when any current sensor fault. Reconstruct rough stator current by decomposing the DC current. Test whether any sensor fault by comparing the rough reconstructions and measured stator currents.Switch to the reconstructed stator current after corrected from the fault current when a stator sensor faults. Switch to the reconstructed DC current from the fault current when the DC sensor faults. Simulation result verifies the effectiveness of detecting the fault and keeping electric vehicle operation normal.
Flexible and Transparant Pressure Sensor Based on Pyramidal Elastomer with High Conducting Graphene Thin Film
Authors: Zhang Xiao Xiang , Hu Song Tao , Qasim Khan , Long Ba
Published: March 2015

A novel and effective technique was devised for synthesizing a pressure sensor based thermal plastic polyuthane (TPU) by covered a layer of less contineous graphene plus single wall carbon nanotubes (SWCNTs). Measured resistance versus deformation responses of the composites under compression, The resistance variation under compressive deformation dynamic range from several KPa to 0.5 MPa on the pyramid arrays shows high sensitivity. the piezoresistance repeatability under multiple compressive tests is reliable. Investigate the electromechanical response of the pressure sensor It was found that the elastomer exhibit a distinct relative of resistance versus stress in the regime of elastic deformation.
Cluster-Head Election Algorithm for Wireless Sensor Networks Based on LEACH Protocol
Authors: Miao Yi Ming
Published: March 2015

Nowadays, extending the service life of the WSN and reducing energy consumption are very important in the research of sensor networks. This paper proposes LEACH-ICE (LEACH Inner Cluster Election) algorithm based on LEACH algorithm. By adjusting the threshold function of the node selected to be cluster head and communicating with base station when node is closer to the base station, LEACH-ICE elects new cluster head inside the cluster when the resident energy of the former cluster head is lower than standard in order to improve the clustering mechanism. Simulation results show that the algorithm achieves saving energy and extending the service life of the WSN.
GIS-Based Urban Land Use and Traffic Coordination Evaluation System
Authors: Sun Yu Jie , Qiao Wen Xin , Zhang Yong Sheng , Yang Yang
Published: March 2015

To relieve the traffic congestion in urban areas, one approach is to modify the current planning scheme based on the balance between traffic supply and demand. Based on the proposed GIS platform, this paper analyzes the interactive relationship between land use and traffic system. Feasibility judgment of planning scheme is implemented based on land attribute, represented by urban floor area ratio and road area ratio. TransCAD based simulation is used to evaluate the planning scheme by traffic flow and the saturation of each link. Comparisons between traffic generation and traffic network capacity, based on a two-dimensional model of Space and Time Consuming Method, is presented to verify the coordination between urban traffic and land use. A real-world case study is implemented to test the efficiency and applicability of the proposed model and computing methods.
Inversion of Aerosol Optical Depth Based on MODIS Remote Sensor
Authors: Li Cheng Fan , Dai Yang Yang , Liu Fei , Zhao Jun Juan
Published: March 2015

The remote sensing technology can accurate inverse the aerosol optical depth so as to demonstrate the haze distribution. Taking the moderate resolution imaging spectroradiometer (MODIS) remote sensor data as the data source, the aerosol optical depth of Shanghai area on December 6, 2013 is inversed from the use of second simulation of satellite signal in the solar spectrum (6S) and NASA V5.2 algorithm, and then the formation has already been analyzed from the three aspects of human activities, weather situation and foreign pollutants. The results show that the inversion aerosol optical depth from MODIS remote sensing image gradually decreased mainly from northwest to southeast, and the foreign pollutants plays the leading role in this haze pollution incidents in a certain weather condition. It can provide the references for haze pollution monitoring and early warning using remote sensor data.
Research and Implementation of Three-Dimensional Power Lines Selection System Based on Aerial Images
Authors: Zhao Peng , Li Hao , Li Ya Nan , Lu Wei Wei , Wu Jie Xuan
Published: March 2015

Based on the application of aerial images processing technology and 3D visualization technology, this paper used a series of procedures including aerial images procession, DEM generation, three-dimensional tower modeling and images recombination, and adopted VB + VRML to generate virtual three-dimensional images animation of the study area according to certain scale and flight routes, this three-dimensional power lines selection system provides the designers the most direct information to grasp the route of the transmission lines from the macro perspective.
Tapered Fiber-Optic Based Surface Plasmon Resonance Sensor
Authors: Wang Xiao Ming , Zhao Chun Liu , Yang Run Guang , Wang Yan Ru , Shi Fei Fei , Jin Shang Zhong
Published: March 2015

We propose a tapered fiber-optic based surface plasmon resonance (SPR) sensor. The plasmonic sensing is designed by coating the waist of tapered fiber-optic with gold. The transmission spectrum of SPR wavelength were investigated by 2D finite element method (FEM). The calculation shows that the dips of the resonance wavelength shift toward long wave direction with the thickness of gold film decreasing. And increasing the diameters of the waist core of tapered fiber-optic also makes the resonance wavelength shift long wave direction. Furthermore, changing the refractive index of the external samples from 1.333 to 1.343 with step of ~0.002, the SPR wavelength shifts linearly from 575.05nm to 472.5nm. Owing to its compact and simple configuration, it also provides a feasible program for the refractive index high sensitivity detection.Keywords: surface plasmon resonance (SPR); tapered fiber-optic sensor; surface plasma; finite element method (FEM); optical fiber sensor
Design of a Smart System for Treatment of Hemorrhagic Shock in Prehospital Settings
Authors: Lu Heng Zhi , Wang Chun Fei , Wang Dan , Wang Hai Tao , Tian Xiao Yuan , Wu Tai Hu
Published: March 2015

Hemorrhagic shock (HS) is a leading cause of death in both military and civilian settings. Fluid resuscitation is the most effective way for treating HS, but under and over resuscitation often occur due to the limited medical personal and experience. To improve the situation, we design a smart system and conduct animal experiments in order to verify whether the system is effective than traditional resuscitation method. A hemorrhage-resuscitation dog model is established and eighteen male mongrel dogs are randomly divided into three groups. The control group receives only intubation while the other two experimental groups receive resuscitation either with traditional method (TM) or with the smart resuscitation method (SRM). The results show that the SRM group maintains the target blood pressure for a longer time and has a compelling effect on reducing fluid needs compared with the TM group. The blood gas analysis also shows better in the SRM group. According to the experiments, the system conducts better results for prehospital treatment of HS, especially when medical supplies and expertise is limited or delayed. Therefore, it might play a role for battlefield and civilian occasions.
Study on Integrated Spatial Database for Composite Urban Disaster Risk Assessment
Authors: Kong Ling Yan , Tao Ying Chun , Liu Jing , Wu Ai Hua
Published: March 2015

In the research of urban disaster risk assessment, data is the most basic element. Accurate, comprehensive, high quality data is essential to ensure the accuracy of disaster analysis and disaster risk classification. The systematic methods of data acquisition, processing and management and analysis need to be studied. In this paper, based on the analysis of characteristics of urban-disasters composite risk assessment data, the risk assessment database is designed. According to processing phase, the database is divided into four sub-databases: gathering database, general database, study area database and history database. The logic design for all the databases are discussed. The updating mechanism is built for the database and continuance updating is realized.
The Application of IOT in Communication Room Monitoring and Asset Management
Authors: Yang Shan , Liu Yuan , Cheng Chuan Zhi , Sun Da Wei
Published: March 2015

This paper introduces the application of IOT technology in the communication room monitoring and asset management in Hubei electric power company, consists of the design of general construction, hierarchical structure and functions. Target for the effective management of communication room power and environment monitoring, communication resources and site operation, applying monitoring and communication features of IOT, to make fast and reasonable configuration of communication resources at benefit maximization, support for the information level of communication room operational & maintenance.
Design and Implementation of Floyd-Steinberg Algorithm Based on FPGA
Authors: Yang Jun , Li Zong Jing , Li Wen Long
Published: March 2015

In this paper, we put forward an innovation method of high-speed and real-time error diffusion, which is based on Floyd-Steinberg algorithm. The design introduces LUT(look up table) and pipeline technology instead of complex multiplication operations, which accesses to the memory frequently. The whole design uses Verilog HDL language to program and Quartus ii 8.0 to synthesize and layout. At the end of the paper, we use a 48 pixel as an example, then simulate and verify it on the Modesim, which can prove the correctness of the design. Compared with the standard Floyed-Steinberg algorithm, this design can reduce the computation complexity, use a smaller memory space to exchange lots of logic units and increase the throughput of the algorithm. Besides, it has the advantages of good reconfigurability, simple hardware structure and high real-time.
A Residual Variance Based Discriminant Function and its Algorithm
Authors: Zhang Jian Jun , Song Ye Xin , Qu Yong
Published: March 2015

Time series analysis is advantageous since it offers insight into the underlying dynamics and forecasts system behavior. The construction of the discriminant function is of vital importance in the time series analysis based fault diagnosis. Aiming at the problem that some of the time series analysis based fault diagnosis methods exist the weakness of higher time complexity, weaker discriminant ability and insufficient online diagnosis power, this paper proposes an approach which makes full use of the characteristics of the model and observation data to construct the discriminant function, and presents an efficient algorithm which can effectively recognize the system state by the proposed discriminant function. As compared to the related work, it has the characteristics of lower time complexity, shorter computation time and stronger distinguished ability, without the requirement of same orders of the reference model and the detected model. The fault diagnosis steps based on the proposed discriminant function and its algorithm are also suggested.
Design of Fuzzy Classification System Applying Expertise Based on Genetic Algorithms
Authors: Zhou Qing Fang , Yang Jun
Published: March 2015

In this paper, a design method of applying rational expertise to the learning mechanism based on fuzzy genetic algorithm is proposed. Firstly, we introduce the accuracy and explanatory of the fuzzy classification system, and then the application of expertise to the fuzzy system, and the adjustment of the member function using genetic algorithm to obtain the final classification results. Finally, the classification results of our experiments demonstrate the effectiveness of the design method with the Irvine classification sample data, and we can obtain better accuracy and explanatory through this learning mechanism with the designed fuzzy classification system.
Present Situation and Prospect of Internal Sensors for UHF Detection in GIS
Authors: Duan Yu Bing , Zhang Hao , Yong Jun , Yang Bo , Hu Xiao Li , Sun Xiao Bin , Meng Hai Lei , Feng Xin Yan , Xu Yong Peng
Published: March 2015

This paper summarizes the application situation of the ultra-high frequency (UHF) method in gas insulated switchgear (GIS) partial discharge detection, as well as the differences between internal and external UHF sensors. The performance indicators of internal sensors are introduced, and five main types of internal sensors are discussed and evaluated. In addition, several problems to be solved are posed for researchers.
Lattice Reduction Algorithm Based Uplink MC-CDMA
Authors: Yunus Umut , Hamdulla Askar , Jia Zhen Hong , Ubul Kurban
Published: March 2015

MC-CDMA integrates the advantages of OFDM with those of CDMA, it has high spectral efficiency, robustness against multi-path propagation and multiple access flexibility. Due to the above mentioned merits, it has been considered as a candidate for future wireless. In recent years, lattice reduction technique is discussed in multiple input multiple output communication systems, and has been shown with its better performance. The purpose of this paper is to express a model for uplink MC-CDMA systems in matrix form and then to propose a lattice reduction aided multiuser detection, in order to ameliorate the affects of inter-carrier interference and multi access interference. The effectiveness of the proposed method is evaluated by the bit error rate performance.
Partial Discharge Pattern Recognition Method for GIS Based on GA-BPNN
Authors: Feng Xin Yan , Hu Xiao Li , Yong Jun , Yang Bo , Sun Xiao Bin , Duan Yu Bing , Meng Hai Lei , Xu Yong Peng
Published: March 2015

In order to study different types of partial discharge inspired by defects in GIS and increase the rate of correct identification on defects, four kinds of typical insulation defects physical model are designed based on the insulation defects of 110 kV GIS and its partial discharge characteristics. Ten feature parameters including the signal peak and kurtosis are acquired from 222 groups of partial discharge signal data, and recognized by BP neural network which is optimized by input genetic algorithm. Recognition results show that this method works well, owning a higher recognition rate than adaptive momentum BP neural network
The Application of Spectrum Inversion Based on Genetic Algorithm to Recognition of Thin Layer
Authors: Wang Kai Yan , Liu Dan , Wang Shi Long
Published: March 2015

Spectrum inversion method based on genetic algorithm (GA) is a kind of optimization methods for improving seismic data resolution, compared with the spectrum inversion based on conjugate gradient method,GA does not require a good starting model but rather a search space.In this paper, this algorithm is first proposed, and applied to thin layer identification,base on the resolution of odd and even component of reflection coefficient in thin layer,derive the spectrum inversion objective function, briefly describe the principle of genetic algorithm, finally in the wedge model and actual data for trial. According to the result, spectrum inversion method based on genetic algorithm can improve the ability of thin layer identification to a certain extent, improve the resolution of the seismic exploration.
The Low Concentration Gas Detection Based on Genetic Algorithm Stochastic Resonance
Authors: Tong Ji Jun , Kang Yan Qin
Published: March 2015

The stochastic resonance (SR) theory provides a new idea for the detection of weak signal submerged in the strong noise. Combined with the optimization theory, this paper puts forward a stochastic resonance system based on genetic algorithm and applied it in a low concentrations gas detection. Firstly we preprocessed the input signal to satisfy the requirements of SR system, then developed the genetic algorithm to seek the maximum output signal-to-noise ratio (SNR), which was used to evaluate the performance of the system. In the end the relationship between the maximum SNR and concentration of gas was analyzed. The results of the experiments indicated the proposed method could improve the detection ability and enhance the detection limit of low gas concentrations.
Changes in the Beam Parameters of Partially Coherent Sinh-Gaussian Beams after Passage through an Astigmatic Lens
Authors: Li Chang Wei , Kang Xiao Ping , He Zhong
Published: March 2015

Based on the propagation law of partially coherent beams, the analytical expression of the beam width, waist positions and the far-field divergence angle of partially coherent sinh-Gaussian (ShG) beams through an astigmatic lens were derived. The effect of astigmatism and spatial coherence parameter on the beam parameters was mainly analyzed. It is found that the beam width depends on the astigmatic coefficient, spatial coherence parameter, decentered parameter, fresnel number and propagation distance in general. The astigmatism results in a difference between the beam widths, waist positions and far-field divergence angles in thexandydirections.
Design and Implementation of AIS Information Sharing Service Based on SOA
Authors: Chai Tian , Xiong De Qi , He Xaio Bing , Zhang Xing Gu
Published: March 2015

The paper by analyzing the existence current situation of multiple independent information systems for maritime departments, proposes can use the Service Oriented Architecture (SOA) for the AIS information sharing to do theoretical direction and functional design, in order to solve information island phenomenon of data exchange difficulty between maritime each independent information system. Based on SOA AIS information sharing adopts software engineering method based on service oriented theory, encapsulates AIS data distribution function module as Web service, achieves conveniently called by desktop, mobile phone and so on many kinds of client cross platform, cross platform, cross language, and has the ability to publish the service aggregation integrated with other server GIS service.
A Novel Gas Sensor for Chemicals On-Line Detection in Transportation
Authors: Zhao Dong Jie , Liu Jun , Yan Fang , Xu Yan
Published: March 2015

With concern for chemicals leak in transportation, there is an urgent need for a sensor which can quickly and accurately detect chemicals. In this study, a high-sensitivity gas sensor was demonstrated, which is based on high-field asymmetric waveform ion mobility spectrometry technology with corona discharge (CD) used as the ionization source to product gas-phase ion samples, which can get the response in one second. The effects of dispersion voltage and moisture were investigated.
Empirical Analysis of Technical Efficiency in Information Services
Authors: Li Bao Yang , Zhou Ya Ting
Published: March 2015

With the high development of knowledge-based economy, information service industry plays an important role in driving economic transition. We use stochastic frontier analysis (SFA) method to estimate the technical efficiency in seven cities of Zhejiang Province in China. We find that the average technical efficiency of information services industry is high and have different developed trends among the cities. The human capital、industrial concentration degree, openness and urbanization have significant impact on technical efficiency, while government behaviors do not show significant effect.
Research on the Recursive Method of Real Time Variance Calculation for Non-Zero Mean Value Data
Authors: Liu Jing , Pan Xiao Gang
Published: March 2015

In the area of manufacturing and industrial engineering, variance calculation is the basic method to monitor the performance of instrument. The new improved method of real-time variance calculation is put forward in this paper to calculate the variance of experiment data, despite of zero or non-zero mean value data, Then it is possible to calculate the variance of any kind data at real time without save the historical data. Experiment results shows that the new method for calculate the variance can greatly improve the calculating efficiency with high precision..
A Grayscale Image Vulnerability Authentication System Based on Compressed Sensing
Authors: Zhan Xu , Lei Yue Rong , Zeng Hui Ming , Chen Jian Ling
Published: March 2015

In this paper, we study compressed sensing algorithm and image authentication algorithm, present a grayscale image vulnerability authentication system based on compressed sensing. The system extracts the original grayscale image edge information by prewitt algorithm and observes the edge information by compressed sensing algorithm of OMP to generate the observation matrix . Then, the system scrambles the observation matrix by arnold transform algorithm and embeds it into the original grayscale image by singular value decomposition algorithm. We make experiment in order to test the system. The result is shown that the algorithm has good imperceptibility and can resist copying attack.
A QCM Immunosensor for Rapid Determination of Ractopamine in Food Based on Enzyme-AuNPs for Signal Amplification and Magnetic β-Cyclodextrins for Extraction
Authors: Chen Shu Xian , Liu Jing , Pan Dao Dong , Gan Ning
Published: March 2015

An enzyme amplified immunosensor for highly sensitive detection of Ractopamine (RAC) in foodstuff was developed based on quartz crystal microbalance (QCM). The high sensitivity was achieved by enzyme-AuNPs signal amplification strategy and magnetic β-cyclodextrins (β-CD) enrichment capacity. The novel QCM immunosensor which combines with the advantages of high selectivity of immunoassays and the high sensitivity of QCM has been developed for the determination of trace residues of RAC in food production. Under optimum conditions, the differences in the frequencies (∆f) of the QCM were proportional to the concentration of RAC over the range from 0.01 to 10 ng mL-1. The minimal detection limit was 0.01 ng mL-1. Due to its high sensitivity, acceptable stability and good selectivity, the immunosensor realized reliable quantification of RAC in real foodstuff. The proposed project has the potential to become a successful on-site screening method in food safety.
Boundary Stitching Method for Block-Based Parallel Error Diffusion
Authors: Zhu Wen Hua
Published: March 2015

In this paper, we describe a boundary stitching method for block-based parallel error diffusion algorithm. A blocked strategy is used to separate the original image into independent blocks. Overlapping areas across adjacent blocks and initial error of boundary pixels are introduce to eliminate the boundary artifacts. Experimental results show that the proposed method generates high quality images similar to that of the original algorithm.
A PVC Identification Method of ECG Signal Based on Improved BPNN
Authors: Yang Xiong , Jin Xin Yu , Shen Jian Feng
Published: March 2015

Computer-aided diagnosis of Premature Ventricular Contraction (PVC) plays an important role in timely detection and treatment of arrhythmias. Conventional identification methods based on back propagation neural network (BPNN) get problems of overlong training time and local optimum. This paper proposes an application of improved BPNN on PVC identification and the improvements of BPNN are based on self-adaptive learning rate and momentum in training. Denoising and feature extraction of ECG signal obtained from MIT-BIH arrhythmia database are processed first. A comparison between standard BPNN and improved BPNN shows that the latter gets less training time and better accuracy.
Hand Posture Recognition Based on PCA
Authors: Wen Jing , Zhang Nai Zhong
Published: March 2015

In this paper, we present an algorithm which detects human hand by skin color information in YCbCr and HIS color model. And for confirming special human hand we use circle rate of region to detect hand region because human hand have complex edge than other region, thus circle rate of hand region is usually more greater. For the recognition of detected hand, we use the Hausdorff to tracking the hand region. And we employed a recognition method based on PCA algorithm to recognize the hand gestures. The experimental results show that an algorithm plays an efficient effort for hand gesture recognition.
Information System Design and its Application of Badminton Video
Authors: Yu Jia Xiang
Published: March 2015

In this paper, we mainly study on the relatively small moving target and its use in the badminton video, and we also study the relatively mining methods open space across the network sparring sport badminton video. Accurate extraction of a moving object based on the mining model is using to modified geometric features for the basic motion feature mining method to be analyzed, we than obtain video structural information based on statistics of people habits using the improved tracking algorithm, the results show that the method can solve the problem of missing and made a badminton video teaching system design.
An Energy-Balanced Path Plan Strategy for Mobile Sensor Networks
Authors: Zheng Li Li , Tang Qiu Ling , Li Xian
Published: March 2015

Several studies have demonstrated that significant energy consumption reduction of nodes and network energy hole elimination can be achieved by introducing a mobile sink. In most related researches, mobile sink's energy is always assumed to be sufficient to collect data sensed by normal nodes. However, mobile sink consumes large amounts of energy in practical applications and it is impossible to own infinite energy. Correspondingly, the moving path plan of the mobile sink, which can be treated as a TSP (Travelling Salesman Problem), plays an important role in reducing and balancing network energy consumption. In this paper, an energy efficient mobile sink path planning strategy (EEPP) is proposed. In this strategy, LEACH protocol is introduced to balance the static network energy consumption; A heuristic path optimization method is utilized to further shorten the mobile sink path and reduce network latency. Simulation results show that our algorithm has good performance on the network energy consumption balancing, thus extending the network lifetime.
Research on Fault Diagnosis Algorithm Based on Multi-Source Data Analysis
Authors: Niu Lin , Li Ya Jin , Huang Jin Xin , Zhan Jie , Ma Meng Chao , Cui Jin Tao , Lu Guo Tao
Published: March 2015

Based on multi-source substation equipment inspection data, this article achieve fault diagnosis in the case of incomplete understanding of the mechanism of substation equipment, by establishing fault diagnosis model.This article selected a substation equipment failures and operational information in different conditions as simulation study. The simulation results show the feasibility of the algorithm. Compared with the traditional fault diagnosis model, this method is more flexible , have a stronger ability to handle noisy data and good prospects.
The Test and Time-Frequency Domain Analysis on Plant Electrical Signal Based on Virtual Instrument
Authors: Wang Ling Ling , Luo Hong Xia , Cao Jian Hua , Lu Kun , Fang Ji Hua , Chen Shuai
Published: March 2015

We tried to obtain numbers of the plant electrical signal with the help of experiments. We made comprehensive treatment and analysis by using the time domain analysis method and frequency domain analysis method to the large numbers of data of the plant electrical signal. The experiment finds that that the plant electrical signal is a kind of low frequency,tiny and fairly stable signal. The features of plant electrical signals remarkably responsive to external stimuli. The measuring precision is limited in the test, so the conclusion only can be mined and used for for future research.
The Assembly Error Detection of Automotive Airbag Based on Machine Vision
Authors: Wang Xiao Dong , Liu Qi , Zhang Wei
Published: March 2015

Based on the principle of machine vision technology, we designed a methodto detect the outline dimensions of automotive airbag quickly and accurately. We Used CCD camera obtain the airbag image, through the image processing method ofsmooth filtering andgray-scale transformationto complete pre-processing, finally applied Canny edge detection operator to extract the boundary of the airbag contour features,and then took the template matching methodto detect assemble error of the airbag image whether meet the requirement.The results show that the detection method have a higher precision, and the time is very short, it can improve the sampled positioningerror detection for the all checks image recognition detection, suitable for application in real-time online detection of airbag assembly line.
Design of On-Line Monitoring System of Partial Discharge in GIS Based on the Combination of Acoustic and Electric
Authors: Hu Xiao Li , Yong Jun , Yang Bo , Liu Ming Lin , Meng Hai Lei , Sun Xiao Bin , Duan Yu Bing , Feng Xin Yan , Xu Yong Peng
Published: March 2015

This paper describes the design and implementation of the on-line monitoring software system of partial discharge in GIS based on the combination of acoustic and electric in detail. The field operation experience show the system is stable and reliable which can meet the need of GIS on-line monitoring.
Applying Lightweight UAV in Landslide Monitoring
Authors: Peng Li , Tang Fei Fei , Zhou Zhi Yue , Liu Xing , Ruan Zhi Min
Published: March 2015

With the advantages of small size, cost efficient, low noise, energy saving, fine definition and high current, UAV has been widely used in various fields such as military, agriculture, forestry,meteorology, environment, etc. Moreover, this technique can obtain large area, large angle and 3D surface information without shadows resulting from cloud cover which is the common shortage insatellite images, it is also widespread in geological hazards monitoring. In this article, the applications of hazards monitoring using UAV has been reviewed at first, then according to the needof landslide monitoring, based on UAV data processing in geological hazard in east-north of Chongqing on 31th August, 2014, route planning method for lightweight and low altitude UAV inmountainous district is introduced, also the workflow and relevant experiences of UAV data processing by applying Agisoft photoscan software. After data processing, both geo-referencedDSM and DOM of landslide are obtained by interpolation with assistance of chosen GPS control points. The interpolated topographic map of landslide can provide important information forgeological hazards monitoring and emergency relief.
Intelligent Inspection of the High-Speed Train Bogie Flaw Based on Eddy Current
Authors: Zhou Ji Hui , Liu Zhi Yang , Chen Gang
Published: March 2015

This paper presents a flaw inspection method based on eddy current effect, by comparison of environment analysis and inspection methods for the high-speed train bogie surface flaw. It designed a testing physical prototype and a reasonable control system which was based on eddy current inspection bogie surface flaw, what’s more, it made use of restraining lift-off effect in testing two times, and the result of experiment indicated that method which tested bogie surface flaw was feasible and effective by digital monitor. The method will offer a guarantee for moving of the high-speed train safely and comfortably, and establish a little base to inspect interior flaw and research farther.
Intravenous Find Equipment Based on DSP
Authors: Chen Jun Qiang , Huang Dan Fei , Liu Hui
Published: March 2015

Intravenous find is very basic and complicated aspect in clinical,such as intravenous drug using,blooding,infusion,surgical treatment,other aspects all need to find vein.Currently,intravenous find equipment not only has high temperature and penetrable injuries during using,but the image is not displayed in real-time,accuracy is poor.This paper presented a real-time,high-accuracy design of intravenous find.The system used 850nm infrared light source that irradiated on the body back,and collected the body back image by CCD,analyzing and processing,ultimately realized the body back blood vessels real-time displaying.
Study on Wheel Run-Out Detection System Based on Harmonic-Analysis Principle
Authors: Men Yu Zhuo , Yang Xiao Dong , Gao Jin Gang , Yu Lei , Yu Hai Bo
Published: March 2015

In order to reduce error of the wheel run-out detection system, a harmonic-analysis-based detection method was proposed to enhance the precision of online detection. The moving average filtering method was used for digital filtering between the axial and radial run-out errors so that to decrease the effect of outside noise on the measured data. Practical application shows that this system works stably and reliably on the wheel detection line and it realizes 100% online detection on the axial and radial run-out of work pieces, with the measurement error lower than 0.1mm.
The Development of a Intelligent Performances Testing System for Lithium Battery Casting
Authors: Liu Xian Ming , Chen Wei , Tu Hai Ning
Published: March 2015

This paper focuses on a intelligent performance testing system for lithium battery casting. The testing system can automatically cast the lithium battery in order to change its performances when it drops to the ground and suffers a major collision, at the same time, the testing system can test the changing performances. What is more, the paper gives the design project of the automatic casting mechanism and its optimizing method, improving PID controller, and parameters experiment method. The experimental results show that the testing system can successfully and accurately cast the lithium, it meets the technology requirements, furthermore, it can obtain the accurate testing datas
Distributed Capacitance Calculation Model in GIS Voltage Transformer’s Error Test
Authors: Chen Xian Shun , Li Yong Sen , Jiao Yang , Lei Guo Ci
Published: March 2015

With the advantages of miniaturization and high reliability, Gas Insulated Substations (GIS) have been applied to power systems widely. However, GIS voltage transformers have troubles in boosting voltage in error test because of GIS’s special physical structure. A calculation model was proposed to solve the difficulty of distributed capacitances’ calculation when it adopts series resonance method in error test. By analyzing and getting the corresponding parameters of primary equipment, a GIS voltage transformer’s test connection equivalent model was built. Compared with measured value in a 500 kV GIS hydropower station, the error is below 8%. And the results confirmed that the long-distance bus and metal shell will form a large distributed capacitances which have a great impact on the error test. In this paper, the calculation model provides theoretical basis for error test. Moreover, it can be applied to field test, which will save equipment transportation costs, time and resources.
Study on Detection Method of Moment of Inertia with Torsion Pendulum Method in Frequency Domain Based on FFT
Authors: Zhang Xiao Lin , Zhang Lie Shan , Zou Bin , Tang Wen Yan , Shao Qiu Feng
Published: March 2015

The article presents the detection method of moment of inertia in frequency domain based on the torsion pendulum method. It analyzes the frequency spectrum distribution of pendulum motion under the condition of linear damping, establishes the relationship between peak frequency and moment of inertia; it proposes the detection method of moment of inertia based on FFT. The frequency spectrum analysis of multiple sets of simulation sequence shows that it has mapping relationship among un-damped natural vibration frequency, frequency bandwidth and damping ratio. The experiment results verify the correctness of detection method of moment of inertia based on FFT.
The First Arrival Cycle Judgment Based Calculated Method for In Situ Acoustic Measurement of Attenuation in Water
Authors: Zou Da Peng , Liu Run Hua
Published: March 2015

The propagation loss of water is important in sediment acoustics and underwater acoustics. The propagation loss in water is analyzed theoretically and an in-situ acoustic instrument of Attenuation Array is used to measure attenuation of water. Based on the first arrival cycle (FAC) judgment method, point judgment based data analysis method (PJDAM) and cross correlation based data analysis method (CCDAM) have the similar results of attenuation as 20.89±4.67 dB/m and 22.43±7.37 dB/m respectively in a wide range of measurement frequency changing from 100 to 300 kHz, which is close to the theoretical calculation of 22.64 dB/m in water using the Attenuation Array. The analysis method will be useful in in-situ acoustic measurement of seafloor surficial sediment.
Design a Wireless Sensor Node for Rotating Machinery Condition Monitoring
Authors: Zhang Yun , Zheng Kai , Chen Bo , Dong Yan Fang , Wang Meng , Li Tian Liang
Published: March 2015

Trouble-free operation of large-scale mechanical equipment is of great significance to modern industrial production. The existing wireless sensor network nodes are not suitable for condition monitoring of mechanical equipment due to their low acquisition accuracy. In view of this, this article put forward a wireless sensor network for mechanical condition monitoring, and designed corresponding wireless sensor network nodes. These nodes could achieve high-precision acquisition of analog signals. This article described a wireless sensor network structure for mechanical condition monitoring, hardware design of wireless sensor nodes and software design of the system. The precision of the wireless sensor network nodes we designed was verified by experiment. The experiment result showed that the nodes could effectively acquire analog signal with high precision.
Control System for the Mountainous Orchard Electric-Drive Monorail Transporter
Authors: Li Zhen , Xu Pei , Ouyang Yu Ping , Lv Shi Lei , Dai Qiu Fang
Published: March 2015

In order to reduce operation risk and working intensity in mountainous orchard transportation and to realize optimized control for the mountainous orchard electric-drive monorail transportation system, a mountainous orchard electric-drive monorail transporter control system was designed and developed in this study. The system mainly consists of modules as: manual and remote control, positioning, obstacle avoidance, speed measurement, motor control, electric-magnetic break, and the position limit. The driving speed, current consumption, break control, and battery pack running ability experiments were conducted to test the control system. Results indicated that, the transporter’s driving speed is 0.60~0.58 m/s when it is running on the ground with the load weight from 0 to 100kg. This speed is little affected by the load weight. The transporter’s driving speed is 0.45~0.28 m/s when it is climbing a steep hill with an angle of 39°. That speed is critically affected by the load weight. In further improvements, a shift mechanism will be introduced so that adjustable gear ratio could be achieved thus solve the current overload problem in a full load situation.
Design and Implementation of Self-Balancing Electric Vehicle Control System
Authors: Qi Ben Sheng , Wang Kang , Xiao Xuan Xuan , Miao Hong Xia
Published: March 2015

In order to further optimize the control system of self-balancing electric vehicle, the method of linear quadratic regulator (LQR) based on genetic algorithm (GA) was presented in this paper. Firstly, the mathematical model of self-balancing electric vehicle was established by Lagrange equation, and then matrix Q and R in LQR which is used to control self-balancing electric vehicle system were optimized by GA. Thus the optimal control of self-balancing electric vehicle control system was realized. The optimization method was proved to be effective by comparing the simulation results of the optimized controller with the original.
A Research on Control System of Solar Energy Collecting and Tracking
Authors: Gao Su Ping , Liu Xian Ming , Tu Hai Ning
Published: March 2015

Solar energy density is low, only in the light of the sun vertical to irradiate on the solar battery board, can maximum efficiency in the use of solar energy. The existing technology of solar tracking apparatus is tracking of single direction of the sun, solar energy utilization efficiency of the bottom, this paper studies a suitable technology to track to track the sun in full range, with its the automatic judgment of real-time tracking solar irradiation intensity. Described the structure scheme, improved controller design, parameters of the experimental method, ensure the mechanism movement stable, accurate, experiments show that, this system has superior performance, low cost, high benefit, solar energy collection, novel.
Design of a Multi-Function Half-Real Object Integration Research Platform Based on Virtual Instrument
Authors: Niu Qun Feng , Chen Sheng Sheng , Wang Li , Hui Yan Bo
Published: March 2015

A multi-function half-real object integration research platform based on virtual instrument technology was designed to meet the needs of the design of magneto-rheological damper. The platform is an integration of multifunctions which mainly includes assisted optimal design, controller management, algorithm simulation and online real-time performance test. This paper introduced the design of hardware and software in detail. The experimental results showed that the platform has many advantages in such aspects as complete functions, stable performance, accurate test and stronger visualized data analysis.