bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of Portable Electronic Nose for VOC Detection
Authors: Zhang Guang Lei , Zhang Xiao Mei , Jin Jian Jun , Zhou Peng Fei , Tong Ji Jun
Published: June 2014

In order to detect Volatile Organic Compounds (VOC) quickly and accurately, a portable electronic nose system was developed which including signal acquisition module, valve control module, embedded modules. Three sensors were used to measure methane, ethanol and formaldehyde gas. We used a three-way valve to control two kinds of gas, in order to avoid the system noise the zero reference was subtracted with the gas being tested. The system could quickly detect the three kinds VOC. The system can play a positive role in the rapid assessment of pollution in industrial parks.
Performance Test and Simulation on Broadband PAA Transducer for Pipeline Detection
Authors: Chen Jing Jing , Zou Bin Bin , Wang Run Tian
Published: June 2014

Beam width, source level and transfer efficiency of a designed transducer are tested in tank experiment. Results show that the designed transduce can meet the required resolution and penetration depth of the pipeline detection. A simulation is conducted on the received difference-frequency LFM signal. Results of the simulation indicate the qulity of pipeline detection can be improved by implementing spectrum correction and pulse compression to the recieved signal.
Study on the Method of Establishing Standardized Testing System in Marine Sounding Sonar
Authors: Cao Yu Fen , Ni Wen Jun , Chen Yun Yue , Qin Lin
Published: June 2014

At present, marine sonar instrument has been widely used in scientific research, engineering construction and environmental protection in the field of marine, but most instruments lack method of metrological verification, testing or calibration. Without standardized testing system, the quality of instrument cannot be guaranteed. This paper proposes a method to establish the system. It shows the main content of the system, especially testing platform, technical standards and testing plans in the system. The conclusion is given finally.
Study on the Motor Vibration Based on LabVIEW and FFT
Authors: Liang Yong Chun , Li Yong Can , Wang Jun Qi
Published: June 2014

The detection of motor vibration can be used to evaluate the condition of motor. Furthermore the detection of motor vibration can be used to analyze the source of motor vibration and is helpful to reduce the motor vibration. Vibration is a cause of noise,so the vibration reduction is helpful to reduce the motor noise. Through analyzing the mechanism of motor vibration, a laptop computer and LabVIEW software are used to design the experimental system. the data acquisition system of vibration signal is composed of USB5935 data acquisition card, vibration acceleration sensor.LabVIEW is used to detect the vibration signal and record the vibration and realize the spectrum analysis. Through detecting and analyzing the vibration of the permanent magnet DC motor, It is proved that the motor vibration experimental system consisting of computer and LabVIEW can fully meet the requirements of electrical machine test and fault classification research.
Based on Adaptive Notch Filter Design of Underwater Acoustic Transponder for Seismic Exploration in Shallow Sea
Authors: Lv Cheng Xing , Mu Hua , Li Lei
Published: June 2014

Underwater acoustic transponder is widely used in marine underwater acoustic positioning system for high resolution seismic exploration. This paper introduces the structure of underwater acoustic transponder. Analysis of characteristics of underwater acoustic signal, we used Adaptive Notch Filter based on received signal detection. And the result of simulation was given.
Design of Fault Diagnosis Vehicle Terminal Based on ARM11
Authors: Dong Zeng Shou , Wang Hui
Published: June 2014

For more timely and accurate to monitor the real-time hydraulic pump run status and to do fault diagnosis.This paper proposes to build a pump fault diagnosis system with BP neural network,and to compose a embedded fault diagnosis vehicle terminal using ARM as its control core.The diagnosis vehicle terminal uses embedded processor S3C6410 as core hardware platform, embedded Linux as operating system, and uses Qt4 application framework to do application software design. Realization of the operating conditions of the hydraulic pump real-time monitoring, real-time fault warning and fault diagnosis function.
Detection Method of Optical Fiber Connector Internal Parts Based on Machine Vision
Authors: Shi Bao Hua , Wei Ya Hui
Published: June 2014

Technology of machine vision is used to measure the inside and outside diameter and concentricity of the optical fiber connector internal parts without contact. The image is got by million-pixel industrial camera. Then the image gets pretreatment, such as, grayscale transformation, binarization, smoothing, etc. Appropriate detection threshold is found by the image analysis. The edge of parts is found by the circular probe method. Inside and outside diameter and concentricity of parts are obtained by using the edge of the data through the least squares method. Experiment of 6.4 mm diameter parts, absolute error is less than one pixel. The largest error is less than 0.05 mm compared with the manual measurements and can meet the measurement requirements.
Laser Wave-Front Measuring Based on Quadri-Wave Lateral Shearing Interferometry
Authors: Ren Juan , Luo Xiu Juan , Xia Ai Li , Zhang Yu
Published: June 2014

Quadri-wave lateral shearing interferometry (QWLSI) is a new and powerful technique for wave-front measurement. This paper deduced the principle of QWLSI in details, showed a Fourier analysis of the resulting interferogram, then obtained a wave-front with high accuracy and minimum reconstruction error by using the least square method. Finally a 532nm laser was measured to validate the reconstruction, and the error analysis was discussed in practical laser metrology. It is concluded that QWLSI provides a better choice for the adaptive optics as compared with traditional lateral shearing interferometer (TLSI) and Shack-Hartmann (S-H) wave-front sensor.
A Practical Approach to Provide Security in IEEE 802.15.4 Wireless Sensor Network
Authors: Lin Hui
Published: June 2014

During last years, IEEE 802.15.4 has been asserting itself as one of the most promising standards for Wireless Sensor Network. It includes a security sublayer, which provides a number of operations and procedures aimed at securing network communications. But providing security features and power consumption together face a trade-off. In spite of so many research works discussing IEEE 802.15.4 security service, so far not so many focus on their implementation and performance. This paper discusses some security aspects of IEEE 802.15.4, and presents a practical approach to secure point to point link between wireless sensor nodes in details, supporting all the security suites of the standard. The results demonstrated that our approach achieved significantly lower power consumption and higher performance in security.
A Surface Plasmon Resonance Biosensor for the Determination of Salmonella
Authors: Yan Yu Rong , Lei Pin Hua , Zhang Ye , Cheng Wei , Ding Shi Jia
Published: June 2014

A novel and sensitive method has been successfully developed for quantitative detection of invA gene of Salmonella. The surface of sensor chip was modified and then target sequence and probe-2 were induced, which formed a sandwich structure. Under optimal conditions, the SPR-based DNA sensor displayed a linear range of 200 pM - 10 nM and a low detection limit of 200 pM for synthetic target sequence. The excellent sensitivity and high stability of the designed biosensor, make this strategy a promising tool for Salmonella screening.
Analysis for Packet Dropout in State Estimation Problem over Sensor Network
Authors: Wang Bao Feng
Published: June 2014

In this paper, we discuss the data losses problem in state estimation process. In sensor network, due to the energy constrained and communication constrained, the system suffering varying data dropped problem, which include independent package dropped, related dropped in single data package transmission processing and partial package dropout in multiple data package transmission processing. Based on the proposed state estimation over sensor network model, the corresponding mathematical models are built and analyzed.
Establishing Different Pairwise Keys Based-On LEACH for Securing Wireless Sensor Networks
Authors: Cui Yan Ling
Published: June 2014

The communication security problems for wireless sensor networks are exacerbated by the limited power and energy of the sensor devices. The focus of this paper is to design a lightweight group key management scheme to safeguard the data packet passing on the sensor networks. The design of the protocol is motivated by the observation that many sensor nodes in the network play different roles. We describe the design and implementation of establishing different pairwise keys based on LEACH. The protocol contains group communication policies, group membership requirements for secure communication under different types of attacks.
Glideslope Distortion Correction Based on the Fusion of Multi-Navigation Sensors
Authors: Xiao Chuan , Feng Jun Hong
Published: June 2014

the unstable approach caused by the distortion of glideslope, endangers aircraft in the forms of over-pitching, stalling at low altitude, and exceeding the limitation of descent rate. Aiming at the issues above, this paper presents a glideslope distortion correction model based on the fusion of multi-navigation sensors. Model simulations have been done to prove the effectiveness of the model, and the results show that the correction model can enhance the stability of glideslope effectively.
MAP-NPS: A Novel Media Access Protocol Based on Node Pair Sequencing for Underwater Acoustic Networks
Authors: Wang Sheng Quan , Sun Da Jun , Zhang You Wen
Published: June 2014

In this paper, we propose and analyze an new MAC protocol based on node pair sequencing (MAP-NPS), which requires node pairs achieved successful handshakes to realize multiple transmissions orderly after one-off RTS-CTS competition. We analyze and assess the protocol’s performance via simulations. Compared to the MACA-U [1] protocol and the PCAP [2] protocol, we show that the new protocol have better performance,which can improve throughput, decrease the propagation delay and reduce hidden terminals and exposed terminals.
Wireless Sensor Networks Deployment Based on Monte Carlo Method
Authors: Xin Qiang Wei , Fang Ding Yi
Published: June 2014

How to use the least nodes to complete the monitoring task is an important problem about deploying in wireless sensor networks (WSN). We present MBT algorithm, base on Monte Carlo method combines the edge betweenness and signal transition distance, in order to study sensor node deployment problem. The proposed algorithm of sensor node deployment can meet the demand or the monitoring accuracy requirement of the premise, and reduce the number of nodes. Simulation experiments show that MBT algorithm can reduce the required nodes of deploying.
Model Analysis of Underwater Acoustic Sensing with Hollow-Core Photonic Bandgap Fiber
Authors: Abdallah Adel , Zhang Chao Zhu , Zhong Zhi
Published: June 2014

Recently, using hollow-core photonic bandgap fiber (HC-PBF) for underwater acoustic sensing has been tested experimentally. Besides its unique characteristics and advantages over conventional single mode fiber (SMF), it provides higher responsivity to acoustic pressure. A robust deep water ray tracing model for multipath acoustic signals propagation and the elastic model of HC-PBF are both required to study the effects of underwater enviroment on the propagating acoustic signal for sensing with HC-PBF hydrophones. The combination of the two models allows studying the frequency response, sensitivity, detection range, and maximum operating depth of the HC-PBF hydrophones. The models analysis and simulations show the considerations that must be taken into account for the design and field operation of the HC-PBF hydrophones. In this paper, a complete package to study, design, optimize, and analyze the simulation results of the interferometric HC-PBF hydrophones is proposed.
Novel Methods for Void Fraction Measurements by Means of Single-Beam Gamma-Densitometry
Authors: Li Jia Ji , Yan Chang Qi , Li Xi Chuan
Published: June 2014

Gamma densitometry is a widespread nonintrusive method for measuring the void fraction among all the methods. Void fraction is a fundamental parameter and generally obtained by the logarithmic and linear equations by means of single-beam gamma-densitometry. However, using these two equations in large diameter pipeline is a hard goal to reach because of the limitation of the radioactive source. In this paper, we proposed a formula for the void fraction measurements in large diameter pipeline and this formula can be also utilized in small diameter pipeline. Deviations between the calculated and actual void fraction of the methods in this paper are demonstrated. The theoretical errors of the new formulae are relatively insignificant in comparison to the logarithmic and linear equations. The method for large diameter pipe has even a smaller theoretical error than multi-beam gamma-densitometry. Disadvantages of the logarithmic equation are analyzed and the modification of the void fraction measurement formulae is proved to be progressive in mathematics. We discussed the simplifications in the novel methods and they have negligible effect on the measurements. Measurement positions and areas are optimized based on the theoretical deduction. In addition, we formulated the experimental requirements of different void fraction expressions.
Application of FIR Real-Time Filtering in Fiber-Optic Current Sensor
Authors: Li Yuan Yuan , Xu Jin Tao , Cao Hui , Yang Xiao Jun
Published: June 2014

When Fiber-Optic Current Sensor(FOCS) measures the grid’s small current, FOCS’s output contains large noise due to the environment and components’ inherent noise, which results in lower accuracy. In order to improve the small current’s accuracy, a system of signal processing base on FIR real-time filtering was adopted. This text introduced the window functions’ features and filtering system aiming at the FOCS’s output was proposed. This system can adjust filter coefficient conveniently according to the output’s character. By the AC experiment under room temperature, the result proves that the SNR of FOCS’s output signal is improved by filtering and the current error ratio meets 0.2s class.
Clustering Routing Algorithm Ant Colony Optimization-Based for Wireless Sensor Network
Authors: Zhang Jun Ye , Chen Dong Ya
Published: June 2014

Nodes in wireless sensor network have limited power supply and wireless channels between them are sensitive to interference. In order to make good use of the limited energy, a routing algorithm is proposed which uses the Ant Colony Optimization Algorithm to balance the load of the network and extend the network life, the proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster heads．Simulation results show the feasibility and effectiveness of this algorithm．
Design Method of Redundant Node in Zigbee Wireless Sensor Network
Authors: Sun Li Hui
Published: June 2014

Redundancy technology is an important measure to enhance the reliability of computer control system. Two types of node redundancy architectures of wireless sensor network are analyzed. The design and implementing method of node redundancy in Zigbee network is presented. The node, which acts as master, is determined through competition after the system is powered up. The logical structure of the system is presented too. The switch protocol between master computer and backup computer and the method of competing for master among all the nodes are described in detail. The system can achieve that backup computer switches to master computer without disturbance. Because Zigbee network is adopted to achieve switching between Master and Backup, the reliability of the whole system is enhanced. The novel redundancy system is of low-cost, openness and good maintainability.
A Short Review on Mesh Simplification
Authors: Li Zheng Jun , Zhou Yu , Yun Ting , Feng Zhe , Zhang Shuo
Published: June 2014

Mesh simplification plays an important role in the process of 3D models, such as storage, transmission and real-time rendering. By analyzing the basic techniques and algorithms of mesh simplification, the paper describes the the typical methods in detail and analyzes the major characters of these methods. The future work of mesh simplification is discussed in the end.
A Simple Deformation Approach for Facial Expression
Authors: Li Zhi Jie , Duan Xiao Dong , Wang Cun Rui , Bao Shu Zhe
Published: June 2014

This paper presents an automatic approach for facial expression deformation. In order to guarantee the expression deformation is dealt with high quality and conveniently, the approach uses two key technologies: the PSO detection and the affine transformation. The simulation results show that this method can produce natural smile expression, without marking the spots manually, especially works well for some shy smile expressions.
Image Super-Resolution via Saliency Sparse Representation
Authors: Zhang Xue Jun , Hu Bing Liang
Published: June 2014

The paper proposes a new approach to single-image super resolution (SR), which is based on sparse representation. Previous researchers just focus on the global intensive patch, without local intensive patch. The performance of dictionary trained by the local saliency intensive patch is more significant. Motivated by this, we joined the saliency detection to detect marked area in the image. We proposed a sparse representation for saliency patch of the low-resolution input, and used the coefficients of this representation to generate the high-resolution output. Compared to precious approaches which simply sample a large amount of image patch pairs, the saliency dictionary pair is a more compact representation of the patch pairs, reducing the computational cost substantially. Through the experiment, we demonstrate that our algorithm generates high-resolution images that are competitive or even superior in quality to images produced by other similar SR methods.
Night Vision Image Fusion Based on Phase Information Modulation and Image Enhancement Technique
Authors: Zhou Jiang , Zhai Bo , Han Ya Meng , Qu You Shan , Yu Ya Li
Published: June 2014

In order to observe night vision image easily, a new image fusion method is designed to improve the detail information of night vision images in a simple and efficient way. Instead of the traditional Multi-resolution analysis and spatial transform approach, the designed method highlights the detail information of night vision images by phase modulation and image enhancement technique. In the designed approach, the phase spectrum and amplitude spectrum of the visible and infrared images are extracted using FFT firstly, and then the phase spectra of two images are exchanged and the IFFT is applied to the processed images to produce phase information images. To compensate for the blurring caused by phase modulation, the high-frequency information of the processed infrared image is segmented and applied to the reconstruction of the color night vision image. Finally, color night vision image is fused by assigning the two-modulated images to red and green channels respectively, and the segmented image to blue channel. The experimental results show that the details of the fused image by the new method are richer than those of the images fused by the traditional methods, and the designed algorithm with a little amount of calculation can be easily realized in real-time processing systems.
Research of Face Recognition Methods Based on Binding Feature Extraction
Authors: Long Yi , Liu Fu Rong , Qiu Guo Qing
Published: June 2014

To address the problem that the dimension of the feature vector extracted by Local Binary Pattern (LBP) for face recognition is too high and Principal Component Analysis (PCA) extract features are not the best classification features, an efficient feature extraction method using LBP, PCA and Maximum scatter difference (MSD) has been introduced in this paper. The original face image is firstly divided into sub-images, then the LBP operator is applied to extract the histogram feature. and the feature dimensions are further reduced by using PCA. Finally,MSD is performed on the reduced PCA-based feature.The experimental results on ORL and Yale database demonstrate that the proposed method can classify more effectively and can get higher recognition rate than the traditional recognition methods.
Subpixel Edge Detection for Segmentation of the Pulp Fiber Image
Authors: Shi Hong Juan , Zhang Kai Li , Li Qing Hua
Published: June 2014

In this paper the problem of accurate edge detection for pulp fibers images is discussed. The images are acquired by the smart CCD camera. Subpixel edge detection is considered that applied in the system to improve the measurement accuracy of pulp fibers. The location of a precise edge is the basis of kink index, kink Angle, curl index and other measurement parameters for the pulp fibers. A new method for subpixel edge detection of the pulp fibers is introduced. Canny operator is used to get the pixel level edge. Each edge point determines five pixels in the gradient direction. Then the least squares fitting is used to locate its sub-pixel edge. The measurement results show that the proposed subpixel edge detection method is valid to improve measurement accuracy for real time measuring the pulp fiber parameters.
Study of Optical Coherence Theory in Measurement
Authors: Kang Shuai , Luo Guang Yi
Published: June 2014

Light is a transverse electromagnetic wave, which has the volatility and particles. When light waves are added up in the spatial uniform medium, different conditions will produce interference effects in the meeting area. Optical path difference affects the distribution of the interference pattern directly, and the light interference pattern gives information of phase and amplitude in turn. Due to the measurement precision and extremely high sensitivity of response, the principle of optical coherence has been studied based on measuring the related physical quantity indirectly.
Object Oriented Information Classification of Remote Sensing Image Based on Segmentation and Merging
Authors: Liu Xiao Li
Published: June 2014

The spectral characteristic to classify the remote sensing image classification methods based on pixels of tradition, and the object oriented classification method besides the spectral information, texture feature, also includes the spatial structure of images and other information, so the classification accuracy is very high. In this paper, the remote sensing image based on object oriented classification, puts forward the classification of remote sensing image segmentation based on multiple information combination. Experiments show that, this method can overcome the pixel maximum likelihood classification based on frequent pepper phenomenon of tradition, greatly improves the classification accuracy and reliability. and has better visual effect.
Application of Machine Vision Technology on Cereals and Oils Separation Processing Equipment
Authors: Meng Shuang , Li Zhi Kui , Feng Yan Bo
Published: June 2014

With the constant improvement of the living standard of the people and the increased expectations for food products of high quality and safety standards, the quality of food materials needs to satisfy the higher demand. The separation quality of the cereals and oils is one of the key factors for ensuring food quality. The traditional separating methods have many shortages such as inconsistency and uncertainty. The machine vision technology applied in the separation processing can realize the quality inspection of products and satisfy the requirements of objectivity, accuracy, consistency, efficiency and online inspection. So machine vision technology improves the separating quality of cereals and oils and realize the intelligence and the automation in the separating process.
Image Compression Based on Wavelet Transform
Authors: Yan Chang Li , Deng Quan Cai , Zhang Xin
Published: June 2014

The wavelet analysis has some important applications in image processing, including image compression, image de-noising and so on.Wavelet analysis for two-dimensional image compression is a key aspect in the field of its applications.This paper studied the application of wavelet analysis in BMP image coding, the characteristics of wavelet coefficients and wavelet subimage, these lay the foundation for further selection of wavelet coefficients and optimize, and analyzed the theory of EZW algorithm, illustrates the better results of the applications on using wavelet theory in image processing.
Design on System of Badminton Video Base on Target Tracking
Authors: Liu Jun Qian
Published: June 2014

This paper mainly for relatively small moving target, relatively open space across the network sparring sport badminton Video studied mining methods. For the basic motion feature mining method, accurate extraction of a moving object based on the mining model is based on motion trajectories using the modified geometric features to be analyzed, to obtain some of the video structural information based on statistics of the early exercise habits and issues and so on, using the improved tracking algorithm to solve the problem of missing and made a video teaching system design badminton.
Study on Random-Fuzzy Variables Method for ADC Measurement Uncertainty Evaluation
Authors: Jiang Wei , Zhang Qi
Published: June 2014

The random-fuzzy variables (RFVs) method based on the theory of evidence is studied, for the need of ADC uncertainty evaluation and the limitations of existing approaches. The connotation of RFVs adopted for expression of measurement result together with its associated uncertainty is discussed, and the RFVs mathematics for uncertainty propagation is analyzed. RFVs can naturally separate the contributions to the measurement uncertainty of the systematic and random effects. Taking power measurements as an example, RFVs method is applied to the presentation and propagation of the measurement uncertainty of ADC, and the results are compared with those obtained by GUM, which shows the RFVs method can be effectively employed in evaluating uncertainty of ADC, and is capable of providing the interval of confidence for all possible levels of confidence, within which the measurement result is supposed to lie.
Analysis and Research of Stereo Correspondence Algorithms
Authors: Li Yan Yun , Liu Zhao Hui , Zhou Liang
Published: June 2014

Stereo matching has been the focus of computer vision research. Some current researches on stereo matching algorithms were summarized, the stereo matching key techniques were analyzed; View of the current major challenges on binocular stereo matching, elaborated matching algorithm possible solutions and modification approaches; Finally, the field of technology development are prospected.
Application of IHA on the Power Grid Task Based on Cloud Computing
Authors: Huang Xiang Yun , Shi Kai Lun , Ren Qing Yuan
Published: June 2014

Cloud computing is tailored to the needs of the real-time and effectiveness of the grid witch can solve complicated problems. However, using the existing algorithms may always run into the problem of local optimal solution witch will effect the accuracy. This paper use the method of IHA to reduce probability of local optimal solution by change task decomposition to feasible operation, then prove the method by using Cloudsim.
Research of Association Rules Algorithm Based on Matrix under Cloud Computing
Authors: Xiong Ye Qing , Zhang Shu Dong
Published: June 2014

It occurs time and space performance bottlenecks when traditional association rules algorithms are used to big data mining. This paper proposes a parallel algorithm based on matrix under cloud computing to improve Apriori algorithm. The algorithm uses binary matrix to store transaction data, uses matrix "and" operation to replace the connection between itemsets and combines cloud computing technology to implement the parallel mining for frequent itemsets. Under different conditions, the simulation shows it improves the efficiency, solves the performance bottleneck problem and can be widely used in big data mining with strong scalability and stability.
A Survey of Quantum Genetic Algorithm for Combinatorial Optimization Problems
Authors: Wei Feng Mei , Zhang Jian Pei , Li Bing , Yang Jing
Published: June 2014

Combined with quantum computing and genetic algorithm, quantum genetic algorithm (QGA) shows considerable ability of parallelism. Experiments have shown that QGA performs quite well on TSP, job shop problem and some other typical combinatorial optimization problems. The other problems like nutritional diet which can be transformed into specific combinational optimization problem also can be solved through QGA smoothly. This paper sums up the main points of QGA for general combinatorial optimization problems. These points such as modeling of the problem, qubit decoding and rotation strategy are useful to enhance the convergence speed of QGA and avoid premature at the same time.
Based on Data Fusion Intelligent Traffic Information Analysis and Optimization
Authors: Lu Yuan Zhang , Zhang Bing
Published: June 2014

In this paper, we propose an analysis refine scheme based on data fusion towards some existing problems in data analysis of intelligent transportation systems .This method constructed the data into a plurality of time-series according to the characteristics of each attribute data. Providing an objective scientific basis for dynamic traffic management through intelligent analysis of traffic information based on the gray advantage analysis among data and system model of Intelligent Traffic Information decision support and auxiliary decision analysis.
Prediction Model Research of Overfeed Sewing Shrinkage Based on BP Neural Network
Authors: Xu Tong Hong , Sun Hong
Published: June 2014

The study shows overfeed sewing shrinkage was not linear relationship with physical property and garment sewing process parameter. It chose simulation arm of light wool fabrics to do overfeed sewing experiment, and selected seven characteristic values such as connection length of long fabric, connection length ratio flexural-tensile modulus ratio, relaxation shrinkage and wet expansion rate of long and short fabric, and applied artificial neural network to forecast overfeed sewing shrinkage of light wool fabrics. Compared with actual result, the error of predicted result was lesser. The foundation of prediction model is significant for woolen mill to develop a set of interactive software and extend application.
Individual Civil Building Intelligent Project Design Based on the Agent
Authors: Xu Xin , Li Fang
Published: June 2014

Individual civil building intelligent project design is the process of using the artificial intelligence Agent technology in simulation the three logical relationship of building user, bubbles, streamline. Divided by bubbles, streamline generation and adjustment, bubbles divided again, streamline refinement and adjustment, until the last bubble becomes a specific room, streamline into specific hall gallery, generate the corresponding construction main body structure finally change into figure according to national building drawing standards, so completed the design of intelligent optimization and scheme evaluation with real-time interaction. Intelligent design process is an innovation in the field of computer aided architectural design, shorten the design time and improve the design efficiency.
Application Kohonen Neural Network to MOA Fault Diagnosis
Authors: Guo Hui , Tang Xian Feng , Chang Zheng Wei , Fang Yu
Published: June 2014

The paper proposes a Kohonen neural network to the MOA fault diagnosis. The data from MOA monitoring was trained by a Kohonen neural network in Matlab. By this way, the best weight matrix could be obtained. The trained Kohonen neural network is adopted to diagnose the sample, and the MOA fault type could be effectively identified.
The Application of SPH Numerical Simulation Method in the Solid High-Speed Collision
Authors: Yang Zhi Bang , Yin Tian Tian , Pang Ming Hua
Published: June 2014

With the development of computer technology, SPH numerical simulation method is widely used in the engineering simulation. Based on introducing the principle of SPH, these provided a reference for future SPH research on parts in the high speed collision through simulation experiment of solid high-speed collision.
Application of BP on Hydrological Forecast Model
Authors: Zhang Ri Jun , Li Zhong Sheng , Zhang Feng Chun
Published: June 2014

In order to study the feasibility and practicality, the hydrological forecasting model are established respectively by the traditional method and the new methods, BP network and projection pursuit. The result shows that the accuracy of the BP model is within 10%, has better forecasting effect and more practical value than the others.
Anthropomorphic Optimization of a Rope-Driven Prosthetic Finger
Authors: Li Qun Ming , Li Yao Wen
Published: June 2014

In consideration of the importance of the prosthetic finger having the motion law of human finger. We first establish the relationship between spring stiffness and joint angles of the prosthetic finger through the analysis of the prosthetic finger kinematic. Then collect the joint angles of human index finger during natural bending by using the CyberGloveII-22 data glove. Based on this, an anthropomorphic optimization method is proposed in order to let the prosthetic dinger have the motion law of human index finger. The method in this paper can also be used to plan the trajectory of the finger.
Research of Trajectory Tracking Algorithms for Industrial Robot
Authors: Liu Cheng , Li Xue Ren , Li Yun Ze
Published: June 2014

the paper firstly designs dynamics model of a 6-DOF vertical multi-joint robot and simplifies it, aiming at the existing algorithms PID path tracking control, the paper put forward two new algorithms based on the analysis of the variable structure control: fast variable structure control algorithm and adaptive fuzzy variable structure control algorithm. The fast variable structure control algorithm can improve the control effect by optimizing the reaching movement. By introducing adaptive processing and fuzziness into reaching law of traditional variable structure control, the reaching motion is improved during sliding mode process. The results show that the two algorithms can not only improve response rate, but also ensure the accuracy of trajectory tracking, as well as the advantages of simple structure, high robustness and adaptability.
Modeling and Simulation of the Dynamical Infrared Radiation of Ballistic Missile in Boost Phase
Authors: Ding Guo Zhen , Zhang Zhan Yue , Wang Lei , Zhang Zhe
Published: June 2014

With development of the Missile technology, there are more and more challenges for the technology of early-warning satellite detection. The early-warning satellite can compute the data of launch point and impact point of a missile by detecting the changing infrared radiation of the missile. Therefore, the research on the infrared radiation of ballistic missile in boost phase is important for developing the detecting technology of early-warning satellite. In this paper, the dynamical infrared radiation model has been constructed based on the characteristics of trajectory and infrared radiation of a ballistic missile in boost phase, and the model has been verified by simulation based on the data of a two stage ballistic missile.
An Improved Controller Based on Chattering-Free Trajectory-Tracking Control for Underwater Profile Monitoring Vehicle
Authors: Zhang Hong Bin , Yuan Jian
Published: June 2014

An improved distributed controller for underwater profile monitoring vehicle is investigated. A chattering-free tracking control law based on chattering-free trajectory-tracking control method is proposed to make a automation control of the vehicle and a manual/auto swtiched distributed controller on Underwater Profile Monitoring Vehicle is desinged. We give the designing procedure of hardware and software of the controller.
MEMS-SINS/GPS/Magnetometer Integrated Navigation System for Small Unmanned Aerial Vehicles
Authors: Miao Cun Xiao , Cao Juan Juan , Ou Yang Bin
Published: June 2014

The constraints of weight, volume and power for Small unmanned air vehicle (UAV) restrict the application of sensors with heavy and good performance and powerful processors. This paper presents a real-time solution of autonomous flight navigation and its results for small UAV by applying small, cheap, low precision and low-power integrated navigation system, which includes Strap-down Inertial Navigation System (SINS) based on Micro-electro-mechanical system (MEMS) inertial sensors, Global Positioning System (GPS) receiver and magnetometer. The Square-Root Unscented Kalman filter (SR-UKF) for data fusion using in this MEMS-SINS/GPS/ magnetometer integrated navigation system provides continuous and reliable navigation results for the loops of guidance and control for the small UAV with autonomous flight. The whole integrated navigation system algorithm is implemented within low-power embedded microprocessors. The real-time flight test results show that the MEMS-SINS/GPS/magnetometer integrated navigation system is effective and accurate.
A Trusted QoS Architecture for Wireless Multimedia Sensor Networks
Authors: Ye Qian , Wu Meng , Wang Yu Fei
Published: June 2014

Developing trusted QoS architecture is important for wireless multimedia sensor networks considering various applications with different QoS requirements. First, the diverse multimedia traffic were analyzed and classified based on application requirements, service model, and multimedia coding method in wireless multimedia sensor networks. And the QoS requirements related to the multimedia traffic were also discussed. Then, a trust management framework was designed for cluster-based wireless multimedia sensor networks. The proposed framework can be used to next-hop selection in secure routing protocol. Finally, trusted QoS architecture was proposed. In the architecture, QoS manager observes and maintains information about QoS factors, and also responsible for QoS scheduling based on different QoS requirements. Trust Manager observes and maintains information about trust factors in WMSNs, and also responsible for trust computing based on different methods of trust factors aggregation.
Application Research of PBL Method in PLC Control Technology
Authors: Zhang Shuang , Gao Jin Gang , Zhang Xiao Qing , Wang Hua
Published: June 2014

In this paper, combined with task-driven way, the PBL teaching method was introduced into PLC control technology course. Four stages were adopted to implement the teaching process. Firstly, teachers instruct students to find problems. Secondly, students search materials and discuss the assigned tasks. Thirdly, teachers introduce some basic knowledge and instruct students to discuss and solve problems. Finally, teachers summarize the rules. It is beneficial to improve students’ learning initiative and the ability of discovering, analyzing and solving problems.
Construction of XBRL Semantic Metamodel and Knowledge Base Based on Ontology
Authors: Wang Wen Li , Huang Min , Wang Ying
Published: June 2014

In order to improve the interoperability of XBRL format financial reporting on the semantic level, a novel XBRL financial reporting metamodel and a fact data semantic metamodel are proposed, which uses the Semantic Web technologies and Ontology theory. Then, a XBRL knowledge base is constructed based on this metamodel .Using the metamodel-based translation mechanism from XBRL to OWL / RDF, all the semantic information in XBRL taxonomy and instance documents is translated into OWL ontology and RDF instance. Finally, a knowledge base covering the semantic information of financial reporting domain is constructed.
Fuzzy Evaluating Model and Method of C2C Sellers Credit Based on Larsen Criterion
Authors: Liang Xi Kun , Tao Li Min
Published: June 2014

Based on the common credit evaluation indexes system of the sellers for C2C, a fuzzy evaluating model is constructed based on Larsen criterion and the related algorithm is designed to evaluate the sellers. In this model, the indexes values are defined in continuous intervals and the internal relation between the overall evaluation and the sub-indexes is fully considered. So the credit characterization is close to the nature of the trading practices. Since the effect of the subjective factors on credit rating is efficiently eliminated in the calculation scheme, the credit grade got by the fuzzy algorithm is more reliable than the ones obtained by traditional methods. Finally, a numerical experiment is given to verify the effectiveness of the method.
Research on the Elements of E-Government Performance Evaluation
Authors: Zhang Ying , Xiong Li Hui
Published: June 2014

China's e-government performance evaluation is at the initial stage, there is a long way to go for its practical and theoretical study to explore, how to build a science of e-government performance evaluation system is a far-reaching a major issue. After discussing the connotation of e-government, modern government functions as well as government performance assessment, the article, based on the actual development of China's e-government, separately expounded on target， subject， object of China's e-government performance evaluation and made the idea of constructing the government performance evaluation, which is to provide reference for establishment a more scientific and accurate evaluation of government performance. This work is in order to promote the orderly development of e-government.
The Planning System Based on the Postponement Manufacturing Theory
Authors: Shi Yun
Published: June 2014

Based on postponement manufacturing theory and the characteristics of some advanced production management modes, this study proposed the planning strategy from the perspective of mass customization production mode and discussed the role of planning strategy in the plan and control of production. Moreover, according to the determination of the postponement manufacturing points in the planning, production, assembly, sale, and delivery of products, it was recommended to set the characteristics, production, and sale environment of specific products. Different production should be planed and controlled in different ways.
A Class of Singular Volterra-Fredholm Type Difference Inequality in Engineering
Authors: Wang Wu Sheng , Huang Chun Miao
Published: June 2014

In this paper, we discuss a class of new weakly singular Volterra-Fredholm difference inequality, which is solved using change of variable, discrete Jensen inequality, Beta function, the mean-value theorem for integrals and amplification method, and explicit bounds for the unknown functions is given clearly. The derived results can be applied in the study of fractional difference equations in engineering.
A High Precision Indoor Positioning System Based on VLC and Smart Handheld
Authors: Ren Zhe Xin , Zhang Hong Ming , Wei Ling , Guan Yang
Published: June 2014

This paper proposes an indoor positioning system based on visible light communication technology and intelligent terminals which equipped with image sensors, electronic compasses and gyroscope sensors. Each LED source is modulated with unique codes which represent its absolute location. The receiving terminal gets the LED’s absolute location through the optical link and capture the scene image with image sensor simultaneously. The electronic compass and the gyroscope sensor measure the terminal’s yaw angle, pitch angle and roll angle in real time, together with the scene image, relative position of the terminal and the LED light source can be calculated. Combine the absolute location of the LED light source with the relative position, the system is able to estimate the terminal’s position within the accuracy of about 2 centimeter. Position accuracy can be improved by using high-precision camera and attitude sensors.
Estimation of Initial Field in the Bohai Sea with the Adjoint Method: A Comparative Study on Optimization Algorithms
Authors: Wang Chun Hui , Shen You Li , Lv Xian Qing
Published: June 2014

The adjoint assimilation technique is used to invert the prescribed initial field in the Bohai Sea. Based on this technique, the practical performances of the limited-memory BFGS (L-BFGS) method, the Regularization method, and the Gradient Descent (GD) method are investigated computationally through a series experiments. Experimental results demonstrate that the prescribed initial field can be successfully estimated by these three methods. Inversion result with the Regularization method is better than that with the L-BFGS method, although errors of observations are higher. Though higher simulation errors than L-BFGS and Regularization method, the difference between the prescribed distribution and inversion result is the lowest, indicating that inversion result with the traditional GD method is the best.
The MPI and OpenMP Implementation of Parallel Algorithm for Generating Mandelbrot Set
Authors: Duan Xiang Wei , Shen Wei Chang , Guo Jun
Published: June 2014

The paper introduce the Mandelbrot Set and the message passing interface (MPI) and shared-memory (OpenMP), analyses the characteristic of algorithm design in the MPI and OpenMP environment, describes the implementation of parallel algorithm about Mandelbrot Set in the MPI environment and the OpenMP environment, conducted a series of evaluation and performance testing during the process of running, then the difference between the two system implementations is compared.
New Research for Traffic State Identification
Authors: Liu Yun Xiang , Zhu Ping , Wang Hao , Yuan Xin Xin
Published: June 2014

The article proposed a new research. The method may avoid interference of reverse drive vehicle by installing back-to-back reader in section, adopting active electronic tags to expand the scope and accuracy about reading and writing, using the information including the number of electronic tags in scanning section, update ratio, residence time to build the linkage system between control system and vehicle-mounted electronic tags, and cooperating with the signal condition in intersection, to make the discrimination of traffic state, especially the discrimination of congestion state. The method could identify the traffic state effectively, which was verified by simulated experiment through secondary development of VISSIM.
An Improved Path Tracking Algorithm for Intelligent Vehicle in Automatic Parking Conditions
Authors: Xu Da Lu , Gong Jian Wei , Jiang Yan , Li Ning , Sun Yin Jian , Wang Jing Hang
Published: June 2014

A feedforward and feedback path tracking algorithm appropriate for automatic parking is proposed in this paper. This algorithm is composed of feedforward control and feedback control. In the path tracking, vehicle position and reference path information are used to calculate the lateral and heading error of the vehicle as well as the curvature of reference path, and put these three as the system inputs, the steering angel of the vehicle as the output. The system parameters are settled by multiple tests. Experiments show that, this method has a high performance in path tracking and meets the requirements of vehicle parking in both low speed situation and narrow spaces.