bluuebunny/crossref_metadata_2025 huggingface dataset:
The Research of WSN Architecture for Smart Grid Utility
Authors: Peng Yi , Huang Guoie , Long Hua , Du Qing Zhi , Xie Tao
Published: July 2012

WSN (Wireless Sensor Networks) has been considered as one of the very promising technologies for the implementation of smart grid (SG). On the other hand, with recent advances in Cognitive Radio (CR) technology, it is possible to apply the Dynamic Spectrum Access (DSA) model in WSN to get access to less congested spectrum, possibly with better propagation characteristics. In this paper we investigate the application of WSN in smart grid and the structure of traditional WSN etc. For smart grid utility, a novel environment-adaptive and cross-layer architecture of CR-based WSN is proposed. Furthermore, the design methods, general characteristics and functions of every layer or every module are described and discussed.
Design of Electric Vehicle Battery Management System Based on CAN Bus
Authors: Wen Ru Chun , Han Shu Ren , Liang Ling
Published: July 2012

This paper is concerned about the problem of improving the service life of lithium battery and guaranteeing the safety of battery managing system (BMS) based on optimizing the process of charge, or discharge of lithium battery. Firstly, distribution method is adopted in the BMS to collect the temperature and voltage of the battery. Secondly, stage management is given to avoid over charge, or discharge of battery. Furthermore, based on LPC11C14 microprocessor, the charging device is designed. Finally, experiments are provided to show usefulness and effectiveness of the proposed methods.
Optimization Design of Permanent-Magnetism Brushless DC Motor Governing System Based on Artificial Fish Swarm Algorithm
Authors: Zhu Jun Lin , Liu Hui , Ren Zhi Bin
Published: July 2012

The optimal design approach of the PID controller was proposed in this paper, based on Artificial Fish Swarm Algorithm (AFSA) for the matter of the optimization of the brushless DC motor controller. In the experiment, through the analysis of the basic principles of artificial fish swarm algorithm, appropriate performance index was selected as fitness function, specific design procedures were given to optimize parameters of PID controller, The experimental results indicate that: Artificial Fish Swarm Algorithm optimized PID controller enables the brushless DC motor speed control system response faster, small overshoot, effectively improve the dynamic performance of a brushless DC motor control system.
Research of Caching Technology in Electric Power GIS Platform
Authors: Shao Zuo Zhi , Chen Li Hong , Yang Chao Ran
Published: July 2012

Large capactity of data to transmit, and geographic information of electric power facilities reflected in GIS platform as point features, linestring features and polygon features do not alway change are the general characteristics of the GIS platform, caching mechanism can significantly improve system efficiency in such information platforms. Combining these characteristics, this article studies design principles of the power GIS platform cache structure in-depth. Based on these studies, platform was built and related indicators were analyzed, some practical value were embodied.
Measurement of Impulse Grounding Resistance
Authors: Shen Hua Jing
Published: July 2012

A kind of measurement method of impulse grounding resistance is proposed. The measurement method of impulse grounding resistance is also analyzed and discussed theoretically. The hardware and software scheme of measurement system is given. The method of simulation of thunder current and transformation calculation is better than the method of work-frequency measurement by the analysis and comparison. By using the method, the thundering course can not only be simulated , but also the impulse grounding resistance can be calculated directly in the scene. In the end, a simulation result is given. Simulation result show that the method proposed in the paper is effective and feasible.
Non-Grid-Connected Wind Power DC Network Study Based on Hybrid Convertor
Authors: Liu Hui Fang
Published: July 2012

Applying non-grid-connected wind power to high energy consuming industry has broad development prospects. This paper presents a compound DC power transmission net to realize high efficiency and reduce the loss. This net consists of current source converter (CSC) based on naturally commutated thyristor and voltage source converter (VSC) based on IGBT. Super capacitor connected to the load side stabilizes the wind power fluctuation. The coordinated control strategy of wind power, energy storage device and load is provided. Simulation results based on real wind power shows the validity of the system.
Coal Mine Gas Prediction Model Based on Ant Colony Neural Network
Authors: Cheng Jia Tang , Zhang Hui
Published: July 2012

In order to improve the prediction accuracy and prediction speed of coal mine gas emission, ant colony algorithm combining with neural network is used for prediction models design. Choose an important factor influencing gas emission, establish of its neural network prediction model. Select the network mean square error as the objective function, through the ant colony algorithm iteration achieve optimal BP network weights, and use the optimized BP network for gas emission prediction. Simulation results show that the method has high fitting prediction accuracy.
A New Anode for Photovoltaic Solar Cells
Authors: Li Ming Wei , Sun Nan Hai
Published: July 2012

The preparation and characteristics of ZnO(Zinc oxide) co-sputtered TaO (Ta oxide) electrodes(ZTO) grown on glass substrates using a specially designed composite target for use in organic solar cells are described. It was found that both the electrical and optical properties of the ZTO films were critically dependent on the Ar/O2 flow ratio and sputtering power. In addition, all ZTO electrodes show amorphous structure regardless of the Ar/O2 flow ratio, due to the low substrate temperature. We obtained the ZTO electrode with sheet resistance of 30 Ohm/square and average optical transmittance of 80% in room temperature. The conversion power efficiency by using ZTO electrode at optimized conditions is 2.6 %.
Research on Decoupling Control Strategy for Interior Permanent Magnet Synchronous Motor in Flux-Weakening Region
Authors: Mao Liang Liang , Wang Xu Dong , Zhou Mei Lan , Zhang Yan Ming , Liu Jin Fa
Published: July 2012

Interior permanent magnet synchronous motors can be applied to applications requiring wide-speed operation by means of flux-weakening control. While due to the fixed capacity of PWM inverter, the high speed operation range of interior permanent magnet synchronous motor (IPMSM) is mainly limited by the saturation of current regulator. In constant power region, in stead of the available voltage that controls the armature current vector, the current vector sometimes becomes uncontrollable in transient operations because of the current regulator saturation. In order to extend its operation range, the current vector control algorithm of IPM motor over the base speed operation is proposed in this paper which includes the decoupling current control and the voltage command compensation. Also this paper introduces a judgment method to monitor if the current regulator has gone into saturation or not. Finally on the basis of simulation results, the effectiveness of this control strategy is further confirmed by real drive tests.
Study of Parallel PFC Technology Based on Parallel Inverters
Authors: Zhang Min , Song Xu Dong , Zhu Zheng Hua , Yin Zhen Xing
Published: July 2012

This paper proposes a parallel PFC technology which is shunted between the power supply and the load. Parallel inverters with frequency-doubling carrier phase shifted SPWM technique is used as the main circuit structure to reduce the device currents rate and switch stress and enhance the equivalent switch frequency. The phase angle of the source current reference is determined by the source voltage, while the magnitude of that is obtained from controlling the DC side capacitor voltage of the inverter. The PFC is realized by inner current loop P control and outer voltage loop PI control for its simple arithmetic, good robustness. The simulation and experimental results show that this system can achieve a high power factor of 0.99 and low total harmonic distortion with linear or nonlinear load. So the validity and efficiency of the proposed parallel PFC technology are confirmed by the numerical results.
DSP-Based Single-Stage Full Bridge Power Factor Correction Technology Research
Authors: Wang Shu Qiang , Zhao Hui , Wu Kang
Published: July 2012

This paper introduces a power factor correction (PFC) main circuit adopting novel full bridge topology, in which the clamped capacitor limits voltage stress on the switch tube, reduces output voltage ripple, and improves the response velocity; TMS320F2812 series DSP, produced by TI company, is used as the main control device in this system, and the DSP fixes the switch frequency at 20kps. It uses alternate sampling method to avoid the switching noise taken into the system. And then, both the validity of the theoretical analysis and the effectiveness of the control strategy are verified by the prototype test.
CIM Modeling for Transformer Protection of the Power Secondary Networks
Authors: Wei Jin Yan , Su Hui
Published: July 2012

In view of existing situation of the inconsistent power system model, a method of CIM modeling for power secondary system is given, based on better understanding and the analysis of the primary system CIM modeling. Combined with the particular characters of the secondary system, it establishes CIM model for the transformer protection of the secondary networks. Then it shows the method is proper and feasible. Some important issue about further research is put forward as well.
Flexible Photovoltaic Solar Cells with Nickle Oxide Buffering Layer
Authors: Sun Nan Hai , Ge Yun Wang
Published: July 2012

An efficient flexible organic solar cell was presented. The highest power conversion efficiency (PCE) of 3.2% and 2.5% were achieved on glass substrate and flexible substrate individually. The device photovoltaic properties were discussed in terms of the band diagrams and series resistance of the devices. Also the properties of nickle oxide thin film on different conditions were investigated too. Room temperarure sputtered and highly conductive nickle oxide (NiO) thin film as hole transporting layer in the cells. The strcture of this kind of devices is PET/ITO/NiO/P3HT: PCBM [regioregular of poly (3-hexylthiophene):(6,6)-phenyl C61 butyric acid methyl ester] /Al. On the study of characteristics of Nickle oxide thin film, such as sputtering temperature, thickness, and oxygen proportion, we found that NiO with 10 nm and sputtered at room temperature shows the best photovoltaic properties.
Realization of a Novel Soft-Switch of Inverting Spot Welding Power Supply
Authors: Zhao Peng Shu , Wang Xu Dong , Na Xiao Song , Yang Miao Sen
Published: July 2012

The technology of soft-switching can improve stability ,reliability and efficiency of the inverting spot welding power supply .In this paper ,a new kind of topology of zero-voltage switching spot welding power supply is proposed ,which is auxiliary circuit in paralleling with the lagging lag ,so it can afford auxiliary current of soft switch .With the relationship between circuit state of every working mode of main circuit and main circuit parameters in new topology ,the ability of searching optimal overall situation of ACA is used to optimize circuit parameters ,and it turns out to confirm the advantage of this topology .
Design of the Half-Bridge Switching and Regulated Power Supply Based on PWM
Authors: Liang Jian Wei , Wu Yin Feng , Liang Ling
Published: July 2012

The article introduces the design of the half-bridge switching and regulated power supply system which is based on PWM. The design mainly consists of regulated power supply’s structure of basic hardware circuit, its working principles and the process of modeling simulation and software design. The control circuit controls SG3525 chip to output PWM wave through the Microprocessor Control Unit (MCU) of AT89C51 and drives IGBT through the chip of EXB841 as well. The MCU is also used to realize the keyboard process and controls of the pulse width and frequency. Taking advantage of Simulink (dynamic simulation Toolbox) and SimPowerSysterm (power simulation Toolbox) of MATLAB, it simulates the designed regulated power supply. According to the simulation result of this design, the system has high stability and good output waveform. The operation of the design is simple and clear with less software operation and higher speed.
The Influence of Weak AC System Accident to the Exchange Station
Authors: Liu Jing Xia , Cui Gui Mei
Published: July 2012

HVDC transmission (HVDC) is very sensitive to the strength of the AC system especially in fault, may cause a DC power transmission interrupt. Based on the PSCAD simulation software built the HVDC transmission model and SVC-HDVC HVDC transmission model as an example. Made an analysis and research for the influence to the DC exchange station when the exchange side make fault.
Motion Trajectory Simulation and Measurement of the 5000V Electromagnetic Repulsion Mechanism (ERM)
Authors: Wu Jin , Zhuang Jin Wu , Zhuang Yong Hua , Lu Jun
Published: July 2012

Successful applications of the ERM depend on accurate simulation models. Firstly, we built up a model on the 5000 volts ERM with ansoft. Then we measured motion trajectories of the ERM prototype respectively by means of a piezoelectric acceleration transducer, a magnetic grating displacement transducer and a linear displacement sensor. Based on the comparative analysis of the results from simulation and measurement, we concluded that the simulation model was reliable on one hand, and on the other hand by means of a linear displacement sensor along with a magnetic grating counterpart, we could obtain accurate motion trajectories with a relative error less than 5%.
Study on Nickle Oxide Thin Film as Buffering Layer in Photovoltaic Solar Cells
Authors: Sun Nan Hai , Ren Ya Fei
Published: July 2012

A new buffering layer(nickle oxide thin film) of organic solar cells was presented. The device strcture is Anode/NiO/P3HT[regioregular of poly(3-hexylthiophene)]: PCBM[(6,6)-phenyl C61 butyric acid methyl ester] /Al. Nickle Oxide(NiO) thin film is a good alternative of hole tansporting layer. We investigates the film from physical and electrical aspects, such as morphology, deposition temperature, thickness etc. The best power conversion efficiency of device we got with NiO buffering layer is 2.49%, which is hundred times of ones without NiO buffering layer.We find that the optimum fabrication conditions are: room temperature deposition, 10nm of thickness, and 30% oxygen proportion.
Research on a Scheme of Heterogeneous Data Integration
Authors: Wang Bao Sheng , Sun Sheng Yao , Ma Yan Yang , Yang Xin Feng
Published: July 2012

Aiming at the limitation of Open Grid Services Architecture-Data Access and Integration middleware only face to JDBC, learning from the design ideas of OGSA-DAI, based on XML and web service, this paper proposes a middleware named XML Transformation-Data Access and Integration using ADO.NET. It analyzes the component structure of the middleware, the interaction of the workflow and the underlying data resources as well as the execution process of the workflow. It describes the conversion process between XML and database. Test result shows that the middleware gets good versatility and easy scalability in heterogeneous data access.
Construction of Boolean Function with Maximum Algebraic Immunity
Authors: Xiong Xiao Wen , Wei Ai Guo , Yin Kai
Published: July 2012

To resist algebraic attacks, a high algebraic immunity is now an important criteria for Boolean functions used in stream ciphers. In recent years, several constructions of Boolean functions with maximum algebraic immunity (MAI) have been investigated. In this survey paper, we review the recent constructions of Boolean functions with MAI, and classify those into several different classes by the construction idea. Further, we also present some results and developments of these methods, including some results of the authors.
Application of Information Hiding Technology Based on MATLAB in Military Information Security
Authors: Wang Min , Yang Wen Feng , Xiong Xiao Wen
Published: July 2012

As the improvement of the requirements of Military Information Security, information hiding technology will become an important method in defence of information security. Based on the basic definition and principles of information hiding technology, DCT transfer based on MATLAB is introduced to analyze the application of image hiding technology in military field. According to the simulation results, the need of information hiding technology in Military Information Security is analyzed. On the basis of the need, the application scope of information hiding technology in Military Information Security is illuminated and some issues that should be concerned in application are given at the end.
Research and Design on Workflow Model of E-Government
Authors: Zheng Xing Hua , Huang Zhi Dong , Mao Ming Zhi
Published: July 2012

Through the analysis on e-government business characteristics and its application model, this article proposes that e-government workflow model is the core technology of e-government applications. Hence this paper conducts further study respectively on design state and running state of e-government workflow model. In the design of state, it gives some related definitions about e-government workflow model, such as link, link relationship, receiver, condition, action, event and relations between them. Then gives rise to e- workflow modeling ideas and design framework. In the running state, it focuses on the problems to be solved (deadlock problem) in the actual operation of workflow system. It puts forward related algorithm and data related entities and then discusses about the design of the workflow engine idea.
Blind Digital Image Watermarking Algorithm Based on the Chain Code
Authors: Tang Chun Ge , Fan Tie Sheng , Liu Lei , Li Zhi Hui
Published: July 2012

A new blind digital watermarking algorithm based on the chain code is proposed. The chain code is obtained by the characteristics of the original image -the edge contour. The feather can reflect the overall correlation of the vector image, and chain code expression can significantly reduce the boundary representation of the amount of data required. For the watermarking embedding, the original vector image is divided into sub-block images, and two bits of the watermarking information are embedded into sub-block images repeatedly by quantization. For watermarking extracting, the majority decision method is employed to determine the size of the extracted watermark. Experimental results show that the image quality is not significantly lowered after watermarking. The algorithm can resist the basic conventional attacks and has good robustness on the shear attacks.
Study of the Thermodynamic Properties for Polychlorinated 5,10-Dihydrophenarsazine
Authors: Liu Hong Xia , Liu Hui
Published: July 2012

136 polychlorinated 5,10-dihydrophenarsazine (PCPhZ) in the ideal gas state at 298.15 K and 101.3 kPa have been calculated at the B3LYP/6-31G* level using Gaussian 03 program, and their thermodynamic parameters were obtained. The isodesmic reactions were designed to calculate standard enthalpy of formation (ΔfHө) and standard free energy of formation (ΔfGө) of PCPhZ congeners. The relations of these thermodynamic parameters with the number and position of Cl atom substitution (NPCS) were discussed, and it was found that there exist high correlation between thermodynamic parameters (heat capacity at constant volume (Cvө), entropy (Sө), ΔfHө and ΔfGө) and NPCS. On the basis of the relative magnitude of their ΔfGө, the order of relative stability of PCPhZ congeners was theoretically proposed.
Research on the Load Balancing Algorithm Based on the Datacenters Service
Authors: He Rui Ying , Zhao Yong Li , Wang Wei , Su Xin , Zhang Xin Yu
Published: July 2012

With the rapid development of cloud computing, the datacenters are widely used in various areas. Connected by optical fiber, the datacenters are always distributed unbalanced, as the service requirements are very different in different regions. To ensure each datacenter’s stable operation and make them share the equal amounts of risk, the service resources need to be distributed to distinct datacenters proportionately. Considering the service recourses of datacenters, this paper is aimed at proposing a dynamic load balancing algorithm. The algorithm, named Average Variance, can help the new tasks to be distributed with a dynamic adjustment on the basis of the current datacenter’s situation in real-time. And in this way, it can achieve the minimum average variance among datacenter’s occupation of service resource. The simulation results demonstrate that the Average Variance has a better performance than the Round Robin. Furthermore, the main consideration of the node in this paper is the utilization in each CPU.
Research on Image Processing Techniques in Virtual Space
Authors: Zhou Rui , Yu Xiao Ming , Jiao Zhan Ya
Published: July 2012

Image processing techniques in virtual space are described in the paper. The images are merged in the wavelet domain to acquire required scene, and dealt with perspective correction. High-quality program can be obtained by stitching a set of images which are processed. And through VC++ experiments, feasibility of the algorithm is proved.
Research of Maize Field Knowledge Representation Building Based on Ontology
Authors: Zhang Ying , Chen Gui Fen
Published: July 2012

The knowledge representation of the traditional artificial intelligence used different modeling methods and the different development tools, it led to the lack of interoperability between all kinds of knowledge, ontology solved the problem. Ontology, which is a model in semantic and knowledge hierarchy describing the concept and the relationship between the concepts, has been the focus of the field of artificial intelligence since it was proposed. This paper explored the knowledge representation based on ontology in the field of artificial intelligence, built the maize domain knowledge ontology, the result shows: ontology can effectively solve the heterogeneous problem of expression of complex knowledge, makes the computer to understand information for the semantic level, and benefit to develop the intelligent systems of maize.
Research and Achievement of Customized Services in Electronic Commerce Based on Data Mining
Authors: Chen Ping Ping , Tan Ding Ying , Liu Xiu Feng
Published: July 2012

As the amount of sales increases rapidly, amount of data become very huge, and the management of customers’ relationship also becomes a more complex problem. Using data mining to analyze data to discover the rules and knowledge among them so that customized services in electronic commerce could be sustained and enterprises’ sales could be more intelligential. With data mining, we can do the following things. Firstly, it analyzes the customers’ shopping behavior and preference with association rules so that it can provide the recommending in the shopping process to make customers getting the right goods more convenient and faster. Secondly, it uses decision tree to classify the customers so that it makes a better communication between customers, provides customized shopping user interface to them and gives the pertinent advertisement to them.
Research on Underwater Targets Recognition Based on Decision-Makings Fusion
Authors: Teng Yue Hui , Liu Ping Xiang
Published: July 2012

A current problem in the development of passive sonar is the classification of different noise sources. The existing Automatic Underwater Target Recognition Technique (AURT) is mainly based on spectrum analysis of radiated noise in passive sonar. However, with the development of noise control techniques, the radiated noise of underwater targets have been reduced enormously in the past few years, even the working states of the same target also weaken the stationarity of spectrum features of its radiated noise. The objective of this paper concentrates on the AURT with multi-method analysis on radiated noise and decision-makings fusion. A kind of multi-classifier decision-makings fusion model to overcome the non-stationarity is presented. Its application of the model on the data derived from sea trial confirms its validation even in the case of low SNR, and the classification rate is above 83%, better than that of spectrum analysis only.
Improved Watershed Algorithm for Cell Image Segmentation
Authors: Zhang Yu , Xu Duan Quan
Published: July 2012

Watershed is an image segmentation algorithm based on mathematical morphology, which can determine the boundary of connected section efficiently and effectively. But the traditional watershed algorithm is sensitive to noise. To overcome the weakness of classical watershed, this paper presents an improved watershed algorithm based on gradient transform, open-close reconstruction and distance transform. The experiment result shows that application of this improved watershed algorithm in cell image segmentation has a good performance.
H.264/AVC Intra Predictor on a Coarse-Grained Reconfigurable Multi-Media System
Authors: Wang Xing , Liu Lei Bo , Yin Shou Yi , Zhu Min , Wei Shao Jun
Published: July 2012

Coarse-Grained Reconfigurable Architectures (CGRA) have proved to be the potential candidates to meet the high performance, low power and flexibility required by embedded systems. In this paper, we implemented a High Profile Intra Predictor for H.264/AVC decoder on a novel coarse-grained reconfigurable processor- Remus (Reconfigurable Multi-media System). We proposed the pipeline and parallel scheduling process for intra prediction algorithm and the simulation results show that 548 clock cycles are consumed for the worst case of intra macro blocks.
The Application of Workflow Technology in Office Automation System
Authors: Zhang Xiao Qian
Published: July 2012

Office Automation (OA) means office and management automated. OA is a comprehensive technique. It contains the computer technology, communication technique, the system science, behavior science, and so on. It can deal with massive, indefinite tasks which traditional data processing technology may do difficultly. By each enterprises and institutions, all branches of government have different business and functions, so the market demands of OAS are also differences. The general structure of the OA and the system has been designed by analyzing the workflow model in COAS. It enables dynamic tracking business process.
A Quantitative Structure-Property Relationship Study on Photodegradation of Polybrominated Diphenyl Ethers
Authors: Fu Li Ya , Luo Jin , Hu Ji Wei
Published: July 2012

Quantitative structure-property relationship (QSPR) models were developed in the present work for photodegradation rate constants (kp) of fifteen individual polybrominated diphenyl ethers (PBDEs) in methanol/water (8:2) by UV light in the sunlight region. The molecular descriptors used in the QSPR models were calculated by the two semi-empirical quantum mechanical methods, RM1 and PM6, respectively. Both multiple linear regression (MLR) and artificialneural network (ANN) were applied in this study. The statistic qualities of the MLR models based on the molecular parameters obtained by RM1 and PM6 calculations were both good with the R values of 0.987 and 0.990, respectively. The QSPR model built by the ANN method with the molecular parameters calculated with PM6 is slightly better than that with RM1.
The Building of Data Acquisition System Based on Embedded Technology
Authors: Liu Ye Hui
Published: July 2012

The common data acquisition system which is proposed in this paper has achieved features of monitoring layer and data collection layer (Complete the construction of ARM9 system board hardware and software environment; implement the design of STM8L acquisition board; design such application modules as host MODBUS, slave MODBUS, parameter setting, real-time data communications, real-time graphical display, local data storage, ADC, digital filtering and so on). Judging from the system test, it can achieve the desired effect, and especially, STM8L ADC data acquisition board has highly precise and consumes low power.
Adjacent Vertex-Distinguishing E-Total Coloring on the Multiple Join Graph of Several Kinds of Particular Graphs
Authors: Li Mu Chun , Zhang Li
Published: July 2012

Let G(V,E) be a simple graph, k be a positive integer, f be a mapping from V(G)E(G) to 1,2,...k. If uvE(G), we have f(u)≠f(v),f(u)≠f(uv) ,f(v)≠f(uv) ,C(u)≠C(v) , where C(u). Then f is called the adjacent vertex-distinguishing E-total coloring of G. The number is called the adjacent vertex –distinguishing E-total chromatic number of G. In this paper, the adjacent vertex –distinguishing E-total chromatic number of the multiple join graph of several kinds of particular graphs is discussed by using construct coloring function.
Construction of Automatic Scientific Research Project Management System Based on Workflow
Authors: Liu Tian Zhen , Wang Huai Yu , Li Yan Ling
Published: July 2012

The article narrates the construction of scientific research project management system based on workflow. The business logic is independent from the specific functions. Scientific research projects are unified and orderly managed, and automation and Overall coordination of the management system is improved. The organization of the system can be made more smoothly. The work processes are more flexible and adaptable.
The Research of Database Query Optimization Based on XML
Authors: Chu Yan Hua , Yu Jin Ling
Published: July 2012

During processing database query or dealing with huge amounts of data, the conventional query method is not only a waste of resources but also may perform repeated or useless operations which may cause the database overburdened even. For solving the problem of time-consuming in conventional database query, this paper presented a more convenient solution to the problem in conventional database queries. This paper constructed an XML document to simulate the database and transformed the database query into the XML queries. Experiments showed that speed can be significantly improved for database query and better results can be obtained.
The Zero-Knowledge Proof Schemes Based on Williams Public-Key Cryptosystem
Authors: Zhang Qian , Han De
Published: July 2012

In this paper, through introducing the Williams public-key cryptosystem in detail, the analysis of the characteristics of the system, and the combination with zero knowledge proof, we set up a zero-knowledge proof scheme based on Williams public-key cryptosystem. The scheme will enrich the theory of cryptography, and particularly zero-knowledge proof theory.
Infrared Optical Path Adjustment Method for Common-Path Optical Coherence Tomography
Authors: Li Yan Jun , Liu Zhong Dong , Zhang Yi Nan , Xiao Hai
Published: July 2012

A new, common-path, in-axis concentric beam-splitting Michelson interferometer is demonstrated for optical coherence tomography (OCT), which can be used to perform high-resolution cross-sectional in vivo and in situ imaging of biological tissues. A piece of glass tube with its inner diameter smaller than the beam-width of the collimated light is used to split the light into a reference and sample beam. In order to obtain the optimal spectral interferogram of this OCT system, an infrared optical path adjustment method was introduced in this paper.
The Realization and Comparison of Directly Fitting Method and Edge Extraction Method Used in Amending the Quantization Errors
Authors: Zheng Dong Xi
Published: July 2012

The quantization error is one of errors in 3D measuring, the method of amending the quantization errors includes directly fitting method and edge extraction method. Analyzed the source of quantization errors and the principle to amend the quantization errors, and analyzed the simulation test of directly fitting method and edge extraction method, and compared them with each other.
The Comparative Study of Remote Sensing Image Classification Method Based on ERDAS
Authors: Zeng Guang Wei , Chen Gui Fen , Li Chu Nan , Ye Jiao
Published: July 2012

ERDAS IMAGINE is a remote sensing image processing system developed by the United States.The paper using ERDAS to classified the remote sensing of Land-sat TM image data by supervised classification method and unsupervised classification method, Using the Yushu City remote sensing image of Jilin Province as the trial data, and classified the forest, arable land and water from the remote sensing images, compared the test data of the supervised classification and unsupervised classification method, shows that the supervised classification method can be better to solute the questions "with the spectrum of foreign body" and "synonyms spectrum" than unsupervised classification method, and optimize classification images, improved information extraction accuracy. The application shows the classification result is consistent with the actual situation and it laid the foundation for land to have the rational planning and use.
A New Method for Biomedical Signal Processing with EMD and ICA Approach
Authors: Yu Wei , Han Qiang , Ma Jing Jing , Xie Pei
Published: July 2012

Faint signal extraction is always a difficult issue in biomedical signal processing field, because the desired signal is often submerged in several relatively large signals or noises. A novel faint signal processing method based on Empirical Mode Decomposition (EMD) and Independent Component Analysis (ICA) is developed to enhance the sensitivity and reliability of faint signal detection. This novel method includes two major steps, which is, firstly the decomposition of the biomedical composite signal using EMD, then the classification or extraction of the desired faint signal component through ICA. This paper explored the working principles and the performance of this novel signal processing method under the specific biomedical environment of fetal electrocardiogram extraction (FECG). The experimental results show that the proposed method has better extraction effect and quality compared with traditional ICA methods.
Target Identification Method for Single-Ship Air-Defense Based on Kinematics Characteristics
Authors: Dai Jin Jin , Li Xiang Min , Li Zi Fen
Published: July 2012

In this paper, a target identification method is proposed based on kinematics characteristics for single-ship air-defense. After seriously analyzing the characteristics of modern air strike targets, extracting methods of the features of height, velocity, acceleration, detection distance, continuous radial motion etc. is given. Then, three-layer identification structure is established: layer 1 can identify tactical ballistic missile (TBM) and armed helicopter (AH) according to height, velocity; layer 2 can identify anti-radiation missile (ARM) and precision guided bomb (PGB) according to the features of horizontal continuous decelerated motion and continuous radial motion; layer 3 combines Fuzzy set and DS evidence theory to identify anti-ship missile (ASM) and bomb-attacker (BA) according to the features of height and detection distance. Verified by environment of typical targets, this method proposed in this paper has fine effect of identification.
Image Quality Assessment Based on Invariant Moments Similarity
Authors: Wang Mei , Wang E Ye , Pan Guo Hua
Published: July 2012

To resolve the problems of the image quality assessment issue and the algorithm adaptability for different image size and deformation, this paper proposes a image quality assessment algorithm based on Invariant Moments Similarity. Firstly, Hu invariant moments values of original image and evaluated image are computed. Secondly the invariant moments distance is completed between original image and evaluated image. At last, the method assess the restoration image quality depend on the invariant moment distance. The experimental result shows that the algorithm result is better than MSE, PSNR, SSIM for the same-size images. And the algorithm based on invariant moment similarity can evaluate different image-size and deformation images with low computing-complexity. The assessment experimental result for difference actual images certifies the algorithm effectiveness.
Numerical Simulation Analysis of Beam-Reduction and Rib-Addition Strengthening Method of Hollow Slab Bridges
Authors: Pu Guang Ning , Li Li Jun , Zhao Yu
Published: July 2012

For the purpose of the study of the mechanical mechanism of beam-reduction and rib-addition strengthening method as well as the difference between hinged beam method and rigidly connected beam method, finite element models are established for hollow slab bridge before and after strengthening respectively with the finite element software Ansys. The stress distributions on hollow slab bridge before and after strengthening are compared through numerical simulation analysis. The improvement effects of beam-reduction and rib-addition method on the transverse connection and stress state of hollow slab bridge are analyzed at the same time. It is proved that this strengthening method is of obvious effect and the bearing capacity of the existing bridge can be greatly enhanced. Meanwhile, the result of numerical simulation analysis shows that the beam-reduction and rib-addition hinged beam method and rigidly connected beam method have the similar effects. Both of them result in much improvement of transverse distribution and enhancement of transverse connection. But the rigidly connected beam method has a better overall rigidity and a tighter transverse connection. Its improvement effect on the stress state of the old beam slab is superior to that of the hinged beam method.
Customer Acceptability Evaluation and Prediction Based on Ensemble Classifiers
Authors: Qian Feng , Xu Lin Wen
Published: July 2012

In the highly competitive market, to meet consumer’s need is a critical factor for product success. So, acceptability evaluation and prediction is important in product development. This study developed an intelligent model to evaluate and predict consumer acceptability. The model used IG as ranking method to rank the features of importance firstly. In addition, it employed the Bayesian Network (BN) and Radial Basis Function (RBF) Networks and their ensembles to build a prediction model. To demonstrate applicability of the proposed model, we adopted a real case, mp3 evaluation, to show that the consumer acceptability problem can be easily evaluated and predicted using the proposed model. The results show that ensemble classifiers are more accurate than a single classifier. This ensemble model not only helps manufacturer in evaluating the importance of product features but also predicting consumer acceptability.
Research on Recognition of the Two-Dimensional Barcode
Authors: Zhang Xiao Wu , Bao Wen Xing , Pu Hui
Published: July 2012

Based on barcode PDF417 image’s characteristics, in order to improve the recognition of bar code, and reduce the bit error ratio, we proposed two methods. One way is to separate the calculation of the width of barcode’s unit from the extract codeword, another is the Recognition of bar blank sequence by using projection algorithm. Thereby, both methods reduce the impact of blurred images made by noisy pollution; the test proved that these two methods can deal with contaminated barcode image effectively.
A Research of Join Point Information Captured in Method by AspectJ
Authors: Ma Su , Zhou Gang
Published: July 2012

This paper achieves information-capture of joint-point by analyzing Java program with AspectJ. This information includes: method call, parameter values passed in method call, method call target and captured value of reference “this” when method is executed.
Based on Wavelet Multi-Resolution Analysis of Image Retrieval and Reviewed
Authors: Lin Jin Hui , Zhang Ji Xiang
Published: July 2012

Multimedia technology development and the implementation of the Internet technology leading to a large number of image information appear, based on keywords retrieval methods of traditional text can not meet the requirement of image information retrieval, this makes the content-based image retrieval technology gradually become the focus of research. Based on the content retrieval technology of the key step is necessary in the extraction of image features, which can be used to extract the features such as color, texture and shape. However, because of the image characteristics can only hold each image similarity of a certain aspects, therefore how to better image will be based on content said image retrieval one of the important research direction. This article reviews some content-based image retrieval comparison, such as color features and the texture characteristics and the extraction of the kind of method, each have their own advantages is in.
Printing Digital Recognition Method Based on the Cascade Classification
Authors: Pu Hui , Bao Wen Xing , Zhang Xiao Wu
Published: July 2012

Milk yield automatic measurement in dairy farms plays a very important role in modern production management. Then, the measurement bottle scale and the reading recognition are key steps. So, this paper presents a new effective recognition algorithm on a printed numeric character of milk measurement bottle. The algorithm uses character image Euler number, the structural shape of printed numeric character, and vertical threading of character to accomplish the cascade classification. The method for character image does not need to be complex refining process, and has come up with a new algorithm of feature extraction from image sunken area. It reduces the complexity of the algorithm, the error recognition and rejection caused by thinning deformation. It greatly improves production efficiency and economic benefits. The experiment proves that the method is effective.
Attribute-Tree Based Hierarchical Hidden Credential Model
Authors: Ge Wei Jin , Hu Xiao Hui
Published: July 2012

Hidden credentials are useful in situations where requests for service, credentials, access policies and resources are extremely sensitive. Current research related to hidden credentials has the shortage that the attribute model cannot provide the complex description. This paper presents a hierarchical hidden credential model which combines the attribute tree structure and the hierarchical identity-based encryption. Attribute tree structure is given that is used to organize sensitive information and the hierarchical hidden credential model is applied to carry and transport credentials, sensitive access control policy, and private resource and so on. This model expands the attribute from a simple atom one to an attribute tree. After the evaluation, it is proven that this model overcomes the shortcomings such as high-load network communication, too many credential exchanges which was caused by attribute-based access control policy. The usability and expansibility of hidden credentials were improved also.
The Algebra Properties of the S-Boxes of Several Block Ciphers
Authors: Liu Jia , Shen Yu Li
Published: July 2012

S-boxes bring nonlinearity to block ciphers and strengthen their cryptographic security. A detailed analysis of the cryptographic properties of S-boxes of several block ciphers, such as SMS4, AES, Camellia and SEED, are made in this paper. Some algebraic properties of boolean function of S-boxes such as balanceness, non-linearity, algebraic degree and walsh spectrums are well investigated. We reveal the advantages and disadvantages of those S-boxes used in SMS4, AES, Camellia and SEED as compared with each other.
Discussion of Classification for Imbalanced Data Sets
Authors: Zhi Wei Mei , Guo Hua Ping , Fan Ming
Published: July 2012

Most classifiers lose efficiency with the problem of imbalanced class distribution, which, however, often shows statistical significant in practice. Therefore, the problem of learning from imbalanced datasets has attracted growing attention in recent years. The paper provide a comprehensive review of the classification of imbalanced datasets, the nature of the problem, the factor which affected the problem, the current assessment metrics used to evaluate learning performance, as well as the opportunities and challenges in the learning from imbalanced data.
Correlation Analysis Method and its Application to Interpretation of Regional Gravity and Magnetic Anomalies in Eastern Xinjiang, China
Authors: Zhang Chun Guan , Yuan Bing Qiang , Li Yu Hong
Published: July 2012

Based on detailed analysis of Bouguer gravity anomaly and magnetic anomaly by reduced to the pole, this paper uses correlation analysis method to analyze regional gravity and magnetic anomalies of different filter scales, including filter scales of 50km, 90km, and 130km, and then discusses the contributing factors of local gravity and magnetic anomalies in eastern Xinjiang. The results show that regional gravity and magnetic anomalies are cogenetic anomalies in some areas, such as Hangou, and northern Lamamiao, Jingrquan, and western Qijiaojing, gravity and magnetic anomalies are allogenic anomalies in other areas. The study reveals that regional negative gravity anomalies are chiefly caused by Cenozoic – Mesozoic with larger thickness and lower density, and regional positive magnetic anomalies are mainly caused by Precambrian metamorphic basement with stronger magnetic property uplifting in Turpan – Hami and Santanghu basin. Mantle substances uplifting mainly cause regional positive gravity and magnetic anomalies in Junggar basin. Regional positive gravity anomalies are mainly caused by Pre-Mesozoic with higher density uplifting, and regional negative magnetic anomalies are chiefly caused by sedimentary formation and intermediate acidity rock with larger thickness and weaker magnetism and Precambrian metamorphic basement.
The Constructing of Test Set on Chinese Information Retrieval
Authors: Zhang Ming Yao , Ji Dong Hong
Published: July 2012

In this paper, we propose a Template-Matching strategy combined with statistics in the tasks of human evaluation of NTCIR to avoid the arbitrariness of human evaluators. By practical operation and within-system checkup, the strategy helps avoid the arbitrariness of human evaluators and provides a benchmark for human evaluation of NTCIR.
BPMO-Based OWL Representation of Business Processes
Authors: Sun Li Li , He Feng , Meng Xiao Li
Published: July 2012

Semantic process modeling approaches are used in modelling, making use of the process ontology, which is the preferred BPMO. In the process of semantically modeling, using ontology to describe the business process is an important step. Therefore, the text proposed for BPMO-based OWL representation of business process, lays the foundation for resolving issues, such as semantic annotation, machine-understandable, and reasoning on business process. We will put forward the construction and representation of our business process knowledge; examine the workshop business process activities; according to business rules, describe business processes on the basis of the BPMO; represent BPMO-based process on the basis of ontology modeling language OWL; model the process on the foundation of softeware BPMO Modeller. Workshop product packaging as an example, we will verify business processes based on BPMO methods.
Application to Sedimentary Facies Identification Used RGB Fusion Imaging in Multi-Attribute
Authors: Liu Wan Jin , An Jin Chao , Zhou Hui , Su Chao
Published: July 2012

The seismic attribute has multi-solution, and can not correspond to geological bodies exactly, a variety of seismic attributes information interpreted by changes in their characteristic parameters was prone to conflicts, the fusion technology of multi-attribute fuses the independent single-attribute in seismic data together, it can use the advantage of each attribute to display the characterization of geological body vividly. In this paper, we extract the attributes slice under the control of isochronous stratigraphic framework along layers, optimize the attribute using reference well data to select three independent attributes that can reflect lithological and physical properties, and fuse the three favorable attributes using the image of RGB fusion technology for better identification of sedimentary facies.