bluuebunny/crossref_metadata_2025 huggingface dataset:
Study on Manufacture Process, Micro-Hardness and Hall-Petch Relation of Pure Rutile Phase TiO2 MAO Coating
Authors: Li Yue , Song Ke Fei
Published: March 2015

A pure rutile TiO2coating was produced on titanium substrate by MAO processing in Al (OH)3colloidal solution. It is proved that Al (OH)3in the solution blocks the produce of anatase phase TiO2. The rutile MAO coating has the advantage of high micro-hardness. Phase composition of the coating is analyzed by XRD in the study. Relation between rain size and micro-hardness of the coating is discussed and it is proved that the two parameters conform to the Hall-Petch relation.
Vibration Control by Using Piezostack Based Mount
Authors: Cui Cheng Xun
Published: March 2015

A vibration control method by using an active hybrid mount featuring piezostack actuators was indicated in this paper. The hybrid mount is composed of piezostack as an active actuator and rubber as a passive element. The hybrid mount was designed and manufactured after experimentally identifying actuating force characteristics of the piezostack and dynamic characteristics of the rubber. Then , a vibration control system with a specific mass loading is constructed, and its governing equations of motion are derived. A feedforward controller is formulated and experimentally realized, in order to actively attenuate vibration transmitted from the base. Finally, vibration control responses are evaluated.
Design and Implementation of LCD Based on FPGA
Authors: Zhou Qing Fang , Yang Jun
Published: March 2015

Liquid crystal display (LCD) is one of the most dynamic electronic products in this century. It has been recognized as a key component of media era, since it has many characteristics, such as a low operating voltage, light volume, and excellent performance of full color display, and suitable for LSI drive and the like. In order to break the limitations of LCD, improve its animation display performance as multimedia television monitor, and strongly simplify the manufacturing to ensure the competitiveness on price, we designed a LCD module with the liquid crystal cell of TD-EDA experimental system based on FPGA, and achieved the control of LCD with hardware description language VHDL in this paper. The validation results of compiled program downloaded on programmable logic devices after compiling and simulating show that the LCD we designed can run correctly and relatively perfectly.
Applying Data Mining Techniques on Continuous Sensed Data for Daily Living Activity Recognition
Authors: Li Yun Jie , Song Hui
Published: March 2015

In this paper, several data mining techniques were discussed and analyzed in order to achieve the objective of human daily activities recognition based on a continuous sensing data set. The data mining techniques of decision tree, Naïve Bayes and Neural Network were successfully applied to the data set. The paper also proposed an idea of combining the Neural Network with the Decision Tree, the result shows that it works much better than the typical Neural Network and the typical Decision Tree model.
Hyperspectral Estimation Models for the Saline Soil Salinity in the Yellow River Delta
Authors: Chen Hong  Yan , Zhao Geng Xing , Liu Ya Qiu , Chen Jing Chun , Zhang Hong
Published: March 2015

Quantitative identification of the saline soil salinity content is a necessary precondition for the reasonable improvement and utilization of saline land, the article aimed at comparing the different quantitative analysis methods and achieving fast estimation of the saline soil salt content in the Yellow River Delta based on the visible-near infrared spectroscopy. Kenli County in Shandong Province was selected as the experimental area, firstly, the representative soil samples were selected, hyperspectral reflectance of the soil samples were measured in situ and transformed to the first deviation. Secondly the correlate spectra, the characteristic spectra and indices were firstly filtered using correlation analysis. Finally, the estimation models of soil salinity content were built using the multiple linear regression (MLR), back propagation neural network (BPNN) and support vector machine (SVM) respectively. The results indicated that the characteristic wave bands of soil salinity were 684 nm and 2058 nm. On the condition of the same input variables, the prediction precision of the SVM models was the highest, followed by the BPNN, the MLR was the lowest. The SVM model based on the first deviation of the reflectance at 684 and 2058nm had the highest precision, with the calibration R2 of 0.91 and RMSE as 0.11%, the validation R2 of 0.93, RMSE as 0.26% and RPD as 2.61, which had very good prediction accuracy of soil salt content, and was very stable and reliable. Different input variables had a great impact on the model accuracy, among of the MLR models, only the precision of the model based on characteristic spectral indices was slightly higher and could be used to estimate salt content, among of the BPNN and SVM models, the precision of the models based on characteristic spectra and indices was more high and stable significantly than the models on the correlate spectra. Therefore, for the three modeling methods of multiple linear regression, back propagation neural network and support vector machine, building the estimation model of saline soil salinity content based on characteristic spectra indices was effective.
Parking Information Monitoring and Management System Based on Internet of Things Technology
Authors: Wu Gui Le , Yan Dong Song
Published: March 2015

Collecting the parking information accurately and making good use of the existing parking spaces are keys to solve the problem of parking difficulty. Thus, the parking system based on internet of things technology was proposed. It used a geomagnetic sensor to collect the information of parking space and transmitted the information to the management center by using zigbee wireless communication technology. The center would release the information on the Internet. Via the website, vehicle owners could find a suitable parking space for their vehicle and know the shortest path to this parking. People can conveniently and accurately know the various information of each parking lot with the help of the system. Therefore, this system can effectively solve the problem of parking by monitoring and managing the parking information. It provides access to make good use of each parking space and improve urban transportation.
Design and Realize the Measurement and Administration for Steel and Iron Enterprise
Authors: Liu Yi Zhen , Liu Ying Xia
Published: March 2015

This system is taken as the extended subsystem of measurement and information of Benxi iron and Steel Corporation. It enforces the three grade measurement and administration, and provides the measurement of energy network, procedure energy, energy consumption and production basic information for the hot rolling. At same time, accomplish the applied software for the energy supervision and administrator system for extending the administration of the Benxi Steel and Iron Corporation measurement information system.
Design of Embedded Smart Home System Based on Internet of Things
Authors: Zhang Peng Ju , Guo Gai Zhi , Yu Zong Zuo
Published: March 2015

This paper presents an Embedded Smart Home system solution using the Internet of things. The Smart Home system can be sectioned into four parts: wireless sensor network, embedded smart gateway, Server and Client. The major technical of the wireless sensor network is ZigBee. The wireless sensor network is developed based on the Z-Stack protocol stack and the wireless chip CC2530. Its main work is to sensor the environmental parameter of the house and the automation control of the electrical equipment in the house. It can also support the RFID access control and camera monitor. ARM microprocessor is the core of the Embedded Smart Home control system. It adopts the embedded Linux technology, the development platform is Qt. The gateway communicates with the wireless sensor network by the serial port. It communicates with Server by the TCP socket and transmits to each client, or communicates with the client by using the wireless communication module directly. It also provides the user interface for sensor data check and real time control equipment. The server plays a role of bridge. It is mainly responsible for the communication and big data processing between the client and the control center. Partial hardware electric diagram and software flowchart were provided. Field using indicates that this system is economical and flexible.
Intelligent Online Monitoring and Anti-Theft System for Underground Cables
Authors: Tong Xu Feng , Zhang Jiao Na , Li Wen Ting , Zhang Dong Xia
Published: March 2015

Based on the characteristics of power cables, an intelligent online monitoring system is constructed for failure detection and positioning. The implementation idea is illustrated and the main functions of the system are introduced in this paper. When power cable is destroyed or stolen, the system will send warning messages to alert the power management department. The actual applications show that the system has the advantages of convenience, low cost and high reliability.
Optical Temperature Sensing of Core-Shell Structured NaYF4:Yb3+, Er3+@NaYF4 Nanocrystals with Different Shell Thickness
Authors: Li Dong Dong , Shao Qi Yue , Dong Yan , Jiang Jian Qing
Published: March 2015

Hexagonal (β)-phase NaYF4:Yb3+, Er3+ upconversion nanoparticles (UCNPs) with and without an inert (undoped NaYF4) shell have been successfully synthesized and the effects of shell thickness on the upconversion luminescence (UCL) and temperature sensing properties were systematically investigated. It was found that the NaYF4 shell and its thickness do not affect the RHS values and thermal sensitivity, but can obviously improve the UCL intensity of NaYF4:Yb3+, Er3+ UCNPs. It implies that the core-shell structured NaYF4:Yb3+, Er3+@NaYF4 UCNPs with excellent UCL properties have great potential to be used as temperature sensing probes in biomedical fields, without considering the influences of the shell thickness on their temperature sensing properties.
Personalized Product Design Knowledge Acquisition Based on Knowledge Reduction and Knowledge Mining
Authors: Hua Er Tian , Chen Da Qiang , Gong Xiao Juan , Hu Lei , He Yan Zhen , Sun Dan Zhi
Published: March 2015

This paper makes the historical data which customers bought the products as the foundation, and suggests a method of personalized product design knowledge acquisition based on knowledge reduction and knowledge mining. Firstly, the core matrices of each specific customer group were taken as the decision variables of the decision table based on the key customer segmentation. Secondly, the knowledge reduction algorithm of Skowron discernibility matrix was use to acquire the product design information by reducing the decision table, and deleting the redundant and even product matrices that are not necessary. Thirdly, the product design information was taken as the initial data of knowledge mining, and the product design knowledge of specific customer group was obtained by a classification consistency algorithm. Finally, the stroller experimental design was taken as a case study by online interaction based on Web technology, and the conclusion of the study showed that the method was feasible.
Study of Cloud Computing Security and Application in Safe City
Authors: Li Yang , Li Jie
Published: March 2015

A cloud-based security management and control platform is proposed, used in the Safe City security monitoring. The platform includes video monitoring and emergency command system. Video monitoring center, including command centers, branch centers, police center, monitoring the site, and through the client to complete audio and video viewing, playback and other services function. Emergency command system can complete handling emergencies, including tasking, information, resource scheduling, and other functions.
Fiber Bragg Grating Hydrogen Sensor Based on Magnetron Sputtering
Authors: Wang Hong Bin , Luo Ying Ting , Li Feng , Song Hong Tu , Wu Zhen , Li Xiong
Published: March 2015

This paper presents the development and fabrication of fiber Bragg grating hydrogen sensor by using magnetron sputtering method to overcome the problem of hydrogen embrittlement.With compact, smooth and high quality thin films deposited by magnetron sputtering, two layers have been sputtered around the fiber cladding: titanium (Ti) layer (20nm) and palladium (Pd) layer (500nm). Between the two layers, Ti is acted as adhesive coatings to ensure connection between fiber and Pd film. Finally, the performance of the developed FBG hydrogen sensor was tested in the laboratory under low hydrogen concentration. The results prove that the fabricated hydrogen sensor has a high sensitivity of 22.67pm/%H2.
Design and Implement of a Flexible Workflow Model Based on UML Modeling Technology
Authors: Yang Feng Yu , Chen Ying , Hu Zheng , Zheng Wei , Duan Xi Long
Published: March 2015

As the rapid development of modern society, it's hard for traditional workflow technologies to meet the variant requirements inside an enterprise. The research focus of workflow technology has been moved to flexibly adjustable workflow models that can easily and fast adapt to business change. In terms of this point, a flexible workflow model is put forward based on the UML technology. Several UML diagrams, such as class diagram, activity diagram and sequence diagram, are introduced to illustrate both model elements and detailed working mechanism of the workflow model. In addition, the strategy of flexible adaption is proposed to deal with changes. Based on this model, a general-purpose system of project application and review is designed and implemented, which is able to adapt flexibly to the business flow changes of project applying after putting into use.
Performance Evaluation for an Automatic Target Recognition System with the Application of Sugeno Fuzzy Integration
Authors: Li Yan Peng , Qin Yu Liang , Wang Hong Qiang
Published: March 2015

Automatic Target Recognition (ATR) system is widely utilized in engineering. However, the performance evaluation method for an ATR system is limited. This paper resolves the problem based on the theory of Sugeno fuzzy integration. The performance metrics are firstly measured. Then, a performance evaluation model is developed. Simulation result shows that, compared to the existing technologies, the novel method can offer more objective performance conclusions for an ATR system.
A Track-Based Gesture Recognition Algorithm for Kinect
Authors: Wang Ying , Zhang Ling
Published: March 2015

This paper presents a new gesture track recognition method based on the depth image information received from the Kinect sensor. First, a Kinect sensor is used to obtain the coordinates of a moving arm. Then, the gesture tracks corresponding to these coordinates are analyzed. Matching and recognition of gesture tracks are implemented by performing golden section search. The results show that this track-based method is highly effective in gesture recognition.
Circuit Fault Diagnosis Based on OEMD and SVDD Classifier of KFPCM Optimal Algorithm
Authors: Shan Jian Feng , Wang Liang Wei
Published: March 2015

Hilbert-Huang transform (HHT) has some problems such as insufficient characteristic, modal aliasing, illusive component in circuit fault feature extraction, a new method is proposed to obtain the transient characteristic which is especially suitable to process non-stationary signal. The method consists of orthogonal empirical mode decomposition (OEMD) and Hilbert transform. Use the OEMD algorithm to gain strict orthogonal intrinsic mode function (IMF) and obtain the characteristics such as time, amplitude and frequency after the Hilbert transform. Support vector data description (SVDD) is sensitive to noise and outliers. It needs to classify the data in advance, reduce noise and traversal data to the specific sample which has good similarity by using Kernelized Fuzzy Possibilistic C-Means clustering (KFPCM). Then put the sample into SVDD classifier for training and diagnosis. The results of experiments show that the SVDD improved by KFPCM has higher accuracy of fault diagnosis than original SVDD.
The Design and Implementation of 2D-DCT Algorithm Based on FPGA
Authors: Yang Jun , Han Qing , Li Hong Ye
Published: March 2015

DCT is the most popular image and video coding algorithm, and is widely used. Though the design of common one-dimension DCT only consists of many adders, there are a lot of limitations in the speed of processing data and the possession of system resources. This paper introduces a kind of 8 * 8 two-dimensional DCT optimization design, and implements it in FPGA. By adopting pipeline design, multipliers and adders, we reduce the resources’ possession of FPGA and improve the operational speed. At last we use the simulation by Quartus II and the performance analysis to prove the correctness and effectiveness of the design [1].
The Truncation Error and Correction Algorithm of the Support-Operator
Authors: Sun Jia Hui , Zhang Yong Po , Pang Shi Chun , Ma Ming Juan
Published: March 2015

For the definition of heterogeneous and non-isotropic medium diffusion equation, we have established a finite-difference algorithm for the numerical solution of diffusion problems. This algorithm not only applies to the convex meshes, but also applies to the concave grid or self-AC grid. The performance of this algorithm is comparable to other algorithms for problems with smooth coefficients and regular grids, but it is superior to the problems with rough coefficients and no-skewed grids. We will discuss the truncation error and correction algorithm of the support-operator in this article.
The Far Properties of Nonparaxial Cosine-Squared Gaussian Beams
Authors: Kang Xiao Ping , Li Chang Wei , He Zhong , Zhao Lu Mei
Published: March 2015

Based on the Rayleigh-Sommerfeld diffraction integrals, the closed-form expression of nonparaxial cosine-squared Gaussian beams in free space is derived. The power in the bucket (PIB) of nonparaxial regime is introduced to characterize the beam quality of nonparaxial beams in the far field. It is found that the intensity and PIB of nonparaxial cosine-squared Gaussian beams depends onfparameter, decentered parameter, and the PIB is additionally depends on the bucket’s size taken. For a given bucket’s size, the smaller decentered parameter andfparameter result in the better power focusability in the far field and the better beam quality.
The Forecast Method of the Free Bus Sharing Rate
Authors: Fan Xiao Yan , Qian Jun , Chen Xiao Hong , Liu Hua Jie
Published: March 2015

This paper analyzed the theory of free bus, established the impedance function and improved the Logit model to predict the free bus sharing rate. Through instances, the model is verified to be scientific.however, It also have a certain deviation between the mode and the truth.That is because inhabitants all have their own concepts and preferences, and the “Curious Psychology” to the new means of transport also has a fearful attraction.
Trip-Generation Forecasting Model Based on Entropy of Land-Use Mixing
Authors: Wang Ying , Chen Kuan Min
Published: March 2015

This study aimed to modify the traditional method of trip-generation by investigating the relation between trip generation and land use. Based on the interaction between urban land-use sorts and trip generation, the trip generation weights among different urban land-use sorts are determined by multiple regression analysis. Given full consideration of the land-use mixing degree, the entropy of traffic-zone-land-use mixing was calculated. An improved trip-generation model based on the entropy of land-use mixing was proposed by analyzing the relationship between trip-generation weight and land-use mixing degree. This method was tested through applying it to Xi’an urban trip generation forecasting. The result of the test shows that this method effectively illustrates the correlation between trip-generation demand and land-use mix sort, and has a better application prospect due to simple calculation, high reliability and feasibility.
An Approach for Active Odor Source Localization Based on Particle Swarm Optimization
Authors: Men Mao Chen , Chen Li Wei
Published: March 2015

This paper discusses the multi-robot cooperation positioning based on particle swarm optimization (PSO) search strategies. A group of active olfaction robots can find the position of odor source depend on the new “active olfaction” arithmetic. The active olfaction robot is regarded as a particle which can exchange message with each other.The simulation experiment wind field is built based on turbulent fluid model. A series of simulation experiments were performed to test the new localization arithmetic, and the experimental results were analysed.
A Perimeter Intrusion Detection System Based on Sensor Network for Airport Application
Authors: Liu Cai Xia , Lu Kai
Published: March 2015

Since the Security Infrastructure Construction Standard forCivil Aviation Transportation Airport (MH/T 7003-2008) revised by Civil Aviation Administration of China in 2008, more and more technologies have been applied in the airport security to meet the standard requirements. With the advent of internet of things era, the things interconnection and the coordination sensation of sensor network technology provide a new technical means for airport security. A perimeter intrusion detection system (PIDS) based on sensor network is proposed and designed for safeguarding airport flight area from illegal intrusion. The PIDS consists of a front-end detection sub-system, a control center sub-system, a network transmission sub-system, a power supply sub-system, an intelligent video sub-system , a video monitor sub-system, a combination meteorological sub-system and a lighting and sound alarm sub-system.It can accurately identify the type of intrusion, locate the intrusion target, and reduce false alarms caused by environmental interference. The PIDS based on sensor network has been successfully applied in the security of Shanghai Pudong International Airport flight area.
Solition Wave of Car-Following Model with Anticipation Effect
Authors: Wu Ji Qun , Li Shuang Ke
Published: March 2015

In this paper, the nonlinear analysis is conducted for the car-following model with the consideration of the anticipation effect in single line, which was proposed by Peng guanghan. We study the nonlinear characteristics of the model by applying the reductive perturbation method, and drive the Burgers equation, the Korteweg-de-Vries (KDV) equation and the modified Korteweg-de-Vries (MKDV) equation respectively. We find that the above nonlinear equations for this model are identical with those equations for the Full velocity difference model.
Research on the Simulation of Random Road Excitation in Time-Domain
Authors: Zhu Yue Feng , Wang Li
Published: March 2015

With the development of national economy and the increasing demand for the road transportation, the vehicles are widely used. The dynamic loads imposed by moving vehicles have variations due to the surface roughness and the larger dynamic loads can affect the pavement performance and life. In order to improve the accuracy of the reconstruction of the road roughness, the time series model—AR model was established based on the given standard pavement roughness PSD which can provide the theory conditions of vibration control and the interaction between vehicles and road.
The Application of Fuzzy AHP in Safety Evaluation of Highway Construction Crossover Operation
Authors: Lu Zhu , Yu Han Kun , Gang Peng , Ni Xiao Yang
Published: March 2015

With the progress of highway construction technology and the difficulty of operation, cross-operation becomes emerging constantly, but safety accidents also appear constantly and the problem is how to ensure the cross-operation security. In order to ensure the safety of highways cross operation, we evaluated the security of cross-operation. We choose the method of fuzzy AHP which can quantify the qualitative data. In the selection of indicators, we choose “exchange of information” as an index which evaluated the security of cross-operation of YIBA highway construction by fuzzy AHP.
Research on Anchorage Location Selection in the Yangtze River Based on Multi-Objective Optimization
Authors: Liu Xiao Dong , Ming Li , Huang Li Weng , Sun Hai Lan
Published: March 2015

Anchorage location selection is one of important factors concerning the safety of vessel in the Yangtze river. On the basis of the characteristics of the inland ports and channels, this paper fully considers the safety of anchoring vessels, the surrounding facilities and the vessels sailing nearby, refines the influence factors of anchorage location selection in the Yangtze river, analyses the influence factors individually, evaluates comprehensively influence factors of the Yangtze river anchorage location selection by using the multi-objective optimization method, constructs the Yangtze river anchorage location selection comprehensive evaluation model, and gives an example of anchorage location selection in Ezhou port as application instance. The establishment of the model enriches the theory related to inland river anchorage, provides theoretical guidance for the Yangtze river anchorage location selection.
A Character Recognizer Based on BP Network
Authors: Yang Ge , Xie Si Lu , Huang Jing
Published: March 2015

A way to recognize printed characters based on BP network was proposed in this paper. It was implemented with C language. After a lot of experiments, the experimental results show that the character recognizer has good validity and correctness. The printed characters can be successfully recognized within the reasonable range of error rate.
A Study of a Normalized Error Calibration Method Based on Parallel High-Speed Data Acquisition System
Authors: Zeng Wen Xian , Zhao Yang , He Zhi Qiang
Published: March 2015

For Offset error and Gain error brought by multi-channel parallel alternate technology in high-speed data acquisition system, this paper proposes a progressive dynamic balance of error normalized calibration method. And in the high-speed data acquisition system of 1GSPS experimental platform consisting of 8 ADC, the program is carried out by experiments. The results show that the method is simple, practical and stable and meets the design requirements.
A Visual Dependency Analysis Method Based on VHDL
Authors: Yi Zhao Xiang , Zhang Xiong Mei , Li Ning , Mu Xiao Dong
Published: March 2015

Modern complex circuits are described in very high speed integrated circuit hardware description language (VHDL) and difficult to verify. This paper proposes a systematic and visual dependency analysis method based on VHDL. The dependency relationships including control dependency, data dependency, signal control dependency and signal data dependency are defined. The entity dependency graph is presented and its generation algorithm, which searches the dependency relationships in hardware processes and between hardware processes, are developed. The experiment of a typical keyboard demonstrates that it is a visual and efficient method to analyze dependency relationships of VHDL for formal verification.
An Algorithm for Electronic Image Stabilization
Authors: Jiang Xue , Sun Peng , Wang Hui
Published: March 2015

In most video systems,the carrier of camera expierences all kinds of motions which make the video ambiguous and unstable.Usually,the gray projection matching algorithm can only stabilize the translation motion between frames,but the rotation motion of frames in a video sequence.By zoning the image into few small regions,the rotation motion could be ignored,then, local movement vector is aqcuired by the grey projection matching method and compensate the movement between frames.Then for the rotation movement,it can be stabilized by the compensation with circle projection matching.
Approach to Restoration of Blurring Image Based on Total Variation with Content Aware and Texture Enhancement
Authors: Yang Dong , Qin Shi Yin
Published: March 2015

In this paper, a new approach to restoration of blurring image with content aware and texture enhancement is presented, in which the content aware term is embedded into the objective function of optimal decision. In this way, the content aware term can play a role to reinforce the restoration effect in the optimal decision. Thus the conventional total variation methodology is employed as a basic tool to solve such optimal decision problem with content aware in its objective function. Meanwhile, the image texture is enhanced by layer decomposition and edge preserving filter. A series of experiment results manifest the proposed algorithm can achieve better restoration effect than the conventional total variation method.
DEM Generation and Accuracy Assessment Using ZY-3 Stereo Image Pairs
Authors: Cai Guo Yin , Huan Jie , Liu Yang , Du Ming Yi
Published: March 2015

Digital Elevation Model (DEM) is an important data source for topographic analysis, 3D visualization and satellite image ortho-rectification. This paper focused on the DEM extraction and accuracy assessment from ZY-3 satellite with 3 stereo images. DEM was extracted using three different stereo pair image groups composed of forward and nadir view images, nadir and backward view images as well as forward and backward view images. The accuracy of the DEM was indicated by root-mean-square error (RMSE) values. The results showed that the stereo pair of nadir and forward view images achieved the best accuracy, while the pair of forward and backward view images obtained the worst. This might be useful for the selection of the stereo pair images for extracting DEM using ZY-3 satellite images.
Fast Approach to Video Stabilization Based on Hierarchical Estimation of Global Motion with Parallel Computation
Authors: Lu Yi Ming , Qin Shi Yin
Published: March 2015

In this article, a fast approach of video stabilization is presented based on haerachical estimmation of global motion and multi-thread parallel computation. At first, the structure-texture decomposition is adopted to tackle the negative effect from illumination changes. Then according to pyramid structure of image texture a hierachical model is built to estimate global motion parameters with least square method. Afterwards Gaussian smoothing method is employed to eliminate error accumulation in motion compensation. Meanwhile the multi-thread parallel computation is used to speed up the processing efficiency so as to achieve a real time performance for videos with 25fps.
Matrix Based Feature Measurement and Extraction for Face Recognition
Authors: Zhu Qi , Cui Jin Rong , Fan Zi Zhu
Published: March 2015

In this paper, a matrix based feature extraction and measurement method, i.e.: multi-column principle component analysis (MCPCA) is used to directly and effectively extract features from the matrix. We analyze the advantages of MCPCA over the conventional principal component analysis (PCA) and two-dimensional PCA (2DPCA), and we have successfully applied it into face image recognition. Extensive face recognition experiments illustrate that the proposed method obtains high accuracy, and it is more robust than previous conventional face recognition methods.
Research on Evaluation System for Steganalysis Based on Image
Authors: Ma Xiu Ying , Cheng Hai Ying
Published: March 2015

Research on evaluation for steganalysis based on image lags back the development of Information Hiding which will hinder the development of it. The evaluation system for steganalysis based on image which includes index system, testing system and comprehensive testing system is proposed. The common steganalysis tools are evaluated using the system, whose feasibility is proved both in theory and experiment.
Research on Facial Expression Computing in Experiment Process
Authors: Xue Yao Feng , Sun Hua Li , Duan Ye
Published: March 2015

The Candide face model and the Face Action Coding System (FACS) are introduced in the paper. The relations of the positions of feature points of Candide-3 model and the action units of FACS are studied. The application system for computing the facial expressions of students in the experiment teaching process is developed. The feasibility of the application system is demonstrated.
Research on the Zero-Bit Watermarking Algorithms Based on the Matrix Decomposition for Digital Images
Authors: Fan Li Jun
Published: March 2015

Due to the problem that the many digital images can be modified more and more easily, watermarking algorithms are proposed. There are many types of digital watermarking algorithms, such as robust digital watermarking algorithms, watermarking schemes for authentication, and reversible digital watermarking algorithms. However, there are some special images, such as the digital medical images for remote treatment, the military images for tracking object, and the remote sensing images, and they are so sensitive to any modification that we should authenticate the copyright by special technique. And this technique is zero-bit watermarking algorithms. In this paper, about zero-bit watermarking algorithms are surveyed. The basic procedures of these classical algorithms are analyzed, and some suggestion about the zero-bit algorithms is given.
Study on Image Enhancement Technique of License Plate Recognition
Authors: Dong Yu Bing , Cheng Guang Liang , Li Ming Jing
Published: March 2015

Various basic image enhancement techniques of License Plate Recognition are discussed and simulated with MATLAB. Through a lot of experiments, an improved image enhancement method is proposed by combining gray-level transformation and median filtering. The method can efficiently avoid interfere and enhance the contrast of image and obtain satisfying effects.
The Online Pattern Recognition Method of SF6 Gas Leakage Based on Image Recognition
Authors: Huang Jin Xin , Li Ya Jin , Jiang Yang , Zhan Jie , Niu Lin , Cui Jin Tao , Ma Meng Chao , He Deng Sen , Lu Guo Tao
Published: March 2015

Based on image processing of SF6 gas leakage on-line pattern recognition method, this paper achieves gas leakage feature extracting, on-line identification of gas leakage and leakage points, SF6 gas leakage can be on-line automatic identification. The simulation results show the feasibility of the algorithm. Compared with the traditional method, paper provides a more intuitive discrimination basis for field staff , as well as for the depth of the late testing data mining provides a research way of thinking
Video Stabilization Algorithm Based on Background Feature Points Matching
Authors: Ji Shu Jiao , Zhu Ming , Lei Yan Min
Published: March 2015

Global motion estimation between two successive frames is important to the process of video stabilization. In the proposed approach, the estimation of global motion was based on the background feature points (BFPS). First, feature points (FPS) were collected from the input video by FAST operator; second, feature point’s descriptor and matching were based on FREAK operator.The M-SAC is used to classify the BFPS. Last, the six parameters of the affine transform model to calculate the interframe motion estimation vector. The experiment results show that he proposed method can stabilize inter-frame jitter, in the meanwhile, it improve the video quality effectively.
Quantization Methods of the Reliability-Based Iterative Decoding Algorithm for LDPC Codes
Authors: Chen Hai Qiang , Luo Ling Shan , Huang Xiao Li , Li Dao Feng , Liang Qi , Qin Tuan Fa
Published: March 2015

This paper investigates the quantization methods of the reliability-based iterative decoding algorithm for LDPC codes. For the uniform quantization, we present a new design criterion to determine the quantization parameters with the clipping interval/probability. Compared to the original parameters setting, the presented design criterion can achieve higher resolution with the allowable quantization distortions. The presented parameter design criterion can be extended to the non-uniform quantization with a slight modification. Simulation results show that, the decoding algorithm can achieve better BER performances and faster convergence rate with smaller quantization bit when compared to the original parameters setting.
The Design of Wireless Monitoring System Based on the High-Speed Rotating Fan of the STM32
Authors: Sun Yang , Dai Ya Wen , Wang Wei Zheng , Li Peng
Published: March 2015

In view of the traditional measurement system is not easy to install and design shortcomings, such as volume and requires a lot of wiring, This system used STM32 microprocessor and CC2530 ZigBee wireless technology to achieve the acquisition of High-speed rotating strain, high-speed storage, wireless monitoring system. This system can be used to replace manual operation, make the test more intelligent, more convenient and more accurate. This article used the STM32F103 chips as the main control system chip, implement the collection and storage function, CC2530 ZigBee protocol implemented wireless transmission function. Acquisition module used the high-speed AD transform chip ADS1274, Four-way synchronization acquisition, which convert digital signal transmit to the main control chip, the main control chip collected data which stored in the high capacity SD card. When need data, the system get the data from the SD card by zigbee wireless transmission to the monitor software. This system used the hardware filter and software filter, join the manning window, which reduced the influence of noise and improved the system accuracy. This paper had solved the monitoring question of the high-speed acquisition structure, implemented the function which data collection, storage and remote control for the integration, according to testing, the various technical indexes reach the system requirements[1].
Design and Implementation of a Remote Monitor System on Potted Flowers
Authors: Zhang Wan Li , Guo Zhen Bo , Zhou Qiang , Wang Kai Xi
Published: March 2015

To meet the management requirement of potted flowers, a maneuverable and low-cost wireless monitoring system on the potted flower is designed in this paper. The system includes measuring module, data read and control module, remote wireless communication module and cloud storage module. The Arduino UNO platform is the core control module for this system, and the WiShield module is used as the wireless communication module. And, YL-69, GY-30 and SHT1x sensors constitute the data acquisition module. This system realized the acquisition of the air temperature and humidity, soil humidity and illumination, which were transmitted to the Yeelink platform to be saved or be used for online monitoring by the wireless communication module. This system is easy to be deployed, and has the features of low costs and good scalability.
Advances in Intelligent Visual Surveillance Technology
Authors: Ding Yi , Li Yu Hui , Li Bo
Published: March 2015

With the improvement of people's security requirements,increasing the number of surveillance cameras,video surveillance by human beings is no longer suitable. Hence,intelligent visual surveillance technology emerges and becomes one of the hottest research points. In this paper,the processing of intelligent video surveillance based on human motion was divided into four categories: target detection,target tracking,object classification and recognition,and behavior analysis. Also made a detailed comprehensive review for situation of these parts,and made comprehensively summarized for the problems and difficulties which have to be resolved.
Algorithm Research of Current Injection in Output Control of Accelerometer Based on INS Onboard Hardware in Loop Real-Time Test System
Authors: Zhang Zhi Yi , Zhao Yan , Liu Yu Shuang
Published: March 2015

In the ground test of inertial navigation algorithm, it is a typical method to use a turntable with high speed and precision to rebuild the air angular motion. As to the difficulty of building a big overload environment in which to get more real output of accelerometers, the method of using current injection to control its output is put forward in this article. Correlation models are established to control the current source card. At the end of the article, there is a brief analysis about real-time performance and precision of current injection.
CCD Temperature Measurement System Design Based on Truncated Mean Weighed Algorithm
Authors: Xue Fei , Dong Fu Tao
Published: March 2015

In order to improve the accuracy, range and instantaneity of high temperature measurement, a CCD (Charge Coupled Device) image temperature measurement system was designed based on multi-sensor truncated mean weighed fusion. Firstly, CCD temperature measurement range was expanded by 6 light filters. Then 15 colorimetric-sensors calculated the surface temperature of experimental molten pool. Finally, the more accurate fusion estimate of temperature value was acquired by using truncated mean weighted factors. The experiment results demonstrate that system have faster processing speed in the measurement of 800°C. The errors were kept within ±2%. This method is effective in improvement of system accuracy and instantaneity.
Real-Time Tracking and Locating of Radioactive Source in Transport
Authors: Wang Xian Wei , Qin Hong Wu
Published: March 2015

This paper deals with securing radioactive source by continuously monitoring system, which is made of RFID (Radio Frequency Identification) reader and tags respectively. The RFID tags that are attached to the transport packages can send information at preset interval, to reader mounted in the cargo bay of the transport vehicle. When an alarm state is encountered by any of the sensors in the tag, the location information of the item using GPS is promptly sent to the monitoring center via the GPRS network. The experiments show that the real-time tracking system is an important prerequisite for ensuring safety of radioactive source in transport.
Research on a Sleep Security and Energy-Saving Device
Authors: Li Rong Hua , Fu Jian Bo , Fan Qing Ling , Hou Zhen Yu
Published: March 2015

The proposed sleep security and energy-saving device with heart rate as the turning point of body, provides a solution for some of the problems existing in the modern family life. Such as electrical appliances may waste too much electricity, or bring safe hidden trouble. The device is originated from the medical phenomenon which is when the body is sleeping. Human heart rate will slow down to a certain extent than normal. If the heart rate has difference with the normal levels in a period of time, the device will make a judgment that disconnects the electrical appliances.
Test Study on Resistance-Reducing Measures of Trimaran Planing Hull
Authors: Wang Qing Xu
Published: March 2015

In order to reduce the resistance of trimaran planing hull, referring to the resistance-reducing measures of conventional planing hull, the influnce of installing spary rail, bilge keel, hydrofoil in channel, stern flap and air injection device in channel on resistance of trimaran planing hull was tested. By the use of comparsion tests the effect of every measure was accomplished. And the practical advices for reducing resistance for trimaran planing hull were suggested.
The Design and Implementation of Moving Object Detecting Algorithm in Intelligent Video Surveillance
Authors: Sun Jin Hua , Tian Cui Hua
Published: March 2015

In view of the problems existed in moving object detection in video surveillance system, background subtraction method is adopted and combined with Surendra algorithm for background modeling, an algorithm of detecting moving object from video is proposed, and OpenCV programming is adopted in Visual c ++ 6.0 for implementation. Experimental results indicate that the algorithm can accurately detect and identify moving object in video by reading the image sequence of surveillance video, the validity of the algorithm is verified.
Architecting Publish/Subscribe-Based Middleware for Wireless Sensor Networks
Authors: Dong Biao
Published: March 2015

Middleware for wireless sensor networks (WSNs) can help bridge the gap and remove impediments. Publish/Subscribe (P/S) is an asynchronous communication paradigm that supports many-to-many interactions between a set of clients. P/S paradigm is a suitable paradigm for WSNs middleware. This paper designs PSWSN, a WSNs middleware, whose architecture is composed of service management, P/S support and access management. Service management is an information publishing platform based on B/S mode, its main function is to abstract the various business functions into services. P/S support in PSWSN is a core and supports publishing and matching services. Access management is employed so that WSNs can be abstracted and accessed as logical rather than individual physical entities.
The New-Generation Smart Substation Protective Equipment Testing Technology Research
Authors: Li Wei , Su Lei
Published: March 2015

The new-generation smart substation, which is included in the index of annually key construction project of The STATE GRID Corporation of China, featuring deep integration of primary and secondary equipment, although still in the pilot construction phase, symbolizes the future and trend of the development of smart substation.In this paper, a complete scheme of test technology and method on dynamic simulation, single device function test, abnormal SV test is presented based on the integration, on-site and substation-wide characteristics of the equipment and the unique feature of construction and commission phase of new-generation smart substation as well as the previous experience of test and operation on both smart and traditional substation.This paper concentrates on the examination method that tests the impact of abnormal SV to the protection device, enumerating all possible conditions of abnormal sampling data and corresponding test manner and methods. At last, a detailed test result on protection device from a new-generation substation that is in its final stage of commissioning is presented .
The Research on Monitoring System of Open-Pit Slope Based on Beidou
Authors: Zhou Li Jing , Lu Cai Wu , Gu Qing Hua
Published: March 2015

The stability of the open-pit slope has been one of the important security issues on open-pit mining.Before damage occurs,the high and steep slope always shows the trend of slow process of displacement.Therefore,by monitoring the small displacement of the high and steep slope,we can predict its catastrophic collapse.In this paper,the monitoring system of open-pit slope based on Beidou is presented that can achieve real-time automatic monitoring of high slope.This paper introduces the data acquisition program development, data transmission program development, as well as data analysis and integrated data management.
The Tape Measurement System Based on Computer Vision Technology
Authors: Li Hong Zhou , Lu Jie , Wang Jun , Jia Tao
Published: March 2015

The paper devises a computer vision system based on virtual instruments to measure tape. The dark field illumination is chosen as Lampe-house in this system. Use Image processing technologies of Median filter, Image binarization, Template matching, Edge extraction to extract a reticle of tape. And compare it with standard tape enacted in this system to measure reticle error of the tape. Analyze various factors influencing the detection precision of the system. Tests show that the measurement results of this system are accurate, reliable and practicable.