bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis of Microstrip Circuit by Using Finite Difference Time Domain (FDTD) Method
Authors: Zhang Lei , Yu Tong Bin , Qu De Xin , Xie Xiao Gang
Published: August 2013

The microstrip circuit is mostly analyzed in transform domain, because its equivalent circuit equation is often nonlinear differential equation, which is easily analyzed in transform domain relatively, but hardly did in time domain, so the analysis of microstrip circuit is a hard work in time domain. In this paper, the FDTD method is used to analyze the microstrip circuit in time domain, by transforming the nonlinear differential equation into time domain iterative equation, selecting suitable time step, and having an iterative computing, the time domain numerical solution can be solved. The FDTD method analyzing the microstrip circuit provides a new way of thought for analyzing microstrip circuit in time domain.
Hardware Circuit Design with the Motion Control System of the Traverse Robot
Authors: Wu Jun Hui , Qin Tong Di , Chen Jie , Lin Kai Yan , Si Hui Ping , Zhang Chi Bin
Published: August 2013

Hardware circuit design process with the motion control system of the traverse robot was described, including the motor drive module and the feedback module with location information. A large number of experiments showed that the modules could be well applied to the platform of the traverse robot.
Design of Mini Multi-Process Micro-Kernel Embedded OS on ARM
Authors: Qu Bo , Wu Zhao Zhi
Published: August 2013

This paper describes the design and implementation of a mini multi-process micro-kernel embedded Unix-like operating system on ARM platform in technical details, including MMU and memory space mapping, init process, inter-process communication, process management, TTY and tiny shell, multi-level priority-queue schedule, and signaling. The mini OS is developed on Linux platform with GNU tool chain by the author of this paper. The architecture of the mini OS is analogous to that of Minix. Based on it, other operating system components such as file system, network management, and copy-on-write can be appended to form a full-featured embedded operating system. The mini OS can be used for both embedded system application development and related curriculum teaching.
SOC Estimation of Lithium-Ion Battery Based on Kalman Filter Algorithm
Authors: Yu Ding Xuan , Gao Yan Xia
Published: August 2013

This paper presents Extended Kalman-filter (EKF) algorithm which is based on a first-order Lithium-ion batteries model. Curve fitting According to the OCV(open circuit voltage),SOC(state of charge) parameters measured in experiments, descript status equation and observation equation of Lithium-ion battery in detail , so that it can accurately demonstrates the characteristics of the Lithium-ion battery. Simulation and experiment results show the feasibility and effectiveness of the algorithm.
A Predicting Method of Power Grid Transmission Line Icing Based on Decision Trees Modified Model
Authors: Wang Jian , Ma Wei Qing , Zhao Xiao Long , Liang Fei Fei
Published: August 2013

Aiming at collapse, disconnection, and ice flash-over problems caused by power grid transmission line icing, this paper proposes a predicting method of transmission line icing. According to historical data and theories of decision tree, calculating out each factors information entropy, with an overall consideration of each influencing factors attribute and attribute value and connections between adjacent layers, we pick out the best testing factor as the root note to complete the model. This model has a clear train of thought, at the same time it has high predicting accuracy and efficiency, which provides a strong guarantee for safely running of power grid transmission line.
Study on Relay System Performance of Simulation Platform Based on LTE-A
Authors: Zhang Zhen , Xu Huai Dong , Gu Yan , Li Chen Ming
Published: August 2013

Relay technology is an important technical means to achieve a smooth transition from Long Term Evolution (LTE) to LTE-Advanced (LTE-A). Theoretically, the addition of nodes will improve the performance of the system effectively. While the relay is active nodes, addition of nodes become a new source of interference. Based on the LTE-A simulation platform, the effect of relay node on the system is analyzed.
Performance Research on Anti-Noise AM Spot Jamming of PRBC-SFM Combined Fuze
Authors: Li Gong Ke , He Shuai Tian , Tu You Chao
Published: August 2013

This paper gives the research on the anti-noise AM spot jamming performance of pseudo-random binary code phase modulation and sine FM combined fuze based on the criterion of signal to jamming ratio gain. First, the overall signal to jamming ratio gain of its receiver is reduced in detail under the noise AM spot jamming, then, the factors affecting anti-jamming performance are analyzed. The results show that the PRBC-SFM combined fuze has stronger performance of anti-noise AM spot jamming, and its anti-jamming performance can be improved effectively by choosing the parameters of the n-th order Bessel function, and along with decreasing periods and narrowing code width, Doppler frequencys influence on the anti-noise AM spot jamming performance of the PRBC-SFM combined fuze is debased.
A Data Integration Platform Research of Power Grid Whole Life Management Based on BIM
Authors: Yang Guo Feng , Zheng Hong Yan , Ouyang Hong , Zhao Jia Kui , Li Ting Shun , Zhou Jing
Published: August 2013

Power grid is a complicated and huge system, many links are involved during its life-cycle, and serious information exchange and sharing problems can be found between these links, they restrict the level of power grids informatization construction. With the presentation of building information modeling (BIM) and the application of IFC standard, the research for building different life cycle stages of information exchange and sharing is strongly pushed forward as well as gained good results. The successful application of BIM in construction business provides great chance for grid whole life data information integration and sharing. After intensively studying every links business and data characteristics of power grid, cooperated with the BIM theory, this paper comes up with a method that applies BIM theory into power system data integration and sharing, with an electric power data integration platform construction scheme based on BIM, by which grid full life cycle of data integration and sharing problem can be successfully solved.
An Approach on Optimization of ZigBee Network Routing Algorithm
Authors: Liu Hao Fan , Li Ping
Published: August 2013

ZigBee routing protocol study and optimization for the problem of the effects of flooding AODVjr algorithm RREQ packet.By introducing new coordinate parameters and other methods to control the RREQ packet forwarding. Network robustness problem and prolong the life of the network, by changing the algorithm in the case of low energy strategy.And simulation comparison to verify the effectiveness of the optimization algorithm.
An Analysis on the Application of P2P in Network
Authors: Zhang Yong Mei
Published: August 2013

Currently, P2P is a very popular network model. Compared with the traditional model, it bears the advantages of high transmission speed and no centralization etc, and it performs much better in the cyber source utilization and server bottlenecks elimination. This article, starting from the basic principle of P2P technology, proceeds with the structure modes and characteristics of P2P to combine it with the application of campus network, so as to analyze the current problems in campus network and to give the solutions to such problems of P2P .
A Cross-Layer Routing Protocol for Mobile Ad Hoc Networks Based on Minimum Interference Duration
Authors: Gu Chao , Zhu Qi
Published: August 2013

Cross-layer design of routing protocol for mobile ad hoc networks (MANETs) has become a hot research topic in recent years. By integrating physical layer, MAC layer and network layer together for cross-layer design, a cross-layer routing protocol called MIR is proposed in this paper. Via predicting the duration of the interference imposed by the neighbors at every hop along the route, a new routing metric is presented which guarantees that the established routes will not break frequently while having the minimum interference. Simulation results show that MIR can significantly improve the network performance.
Self-Healing Research of ZigBee Network Based on Coordinator Node Isolated
Authors: Huang Ming Jiang , Wang Tao
Published: August 2013

A single-chip solution is proposed to realize the node design based on 2.4 GHz ZigBee wireless sensor network. Mesh network topology is achieved by the use of ZigBee Pro protocol stack on the hardware platform. When the packets are successfully sent to the coordinator node, a relevant event will be generated by the local node. Hence, the parent node lost event can be obtained by comparing the number of the packets sent by the child node and the number of the packets sent successfully shown by the respond event. A wireless sensor network is designed to work independently from the coordinator node and can be re-connected according to the needed set to resume the network. When the coordinator node is taken away from the site or power down by happenstance and power up again after a long time, the parent lost event in the child nodes can make it rejoin the new coordinator node again when needed. The network self-healing function can be achieved by this mechanism that makes the network more stable.
Impact Analysis of Communication Network Reliability Based on Node Failure
Authors: Zhao Fei , Huang Ning , Chen Jia Xi
Published: August 2013

Node failure is an important factor causing network faults. Through research on node failures, mastering the effect laws of failure is a reasonable and effective method to improve network reliability. This paper summarized and classified the node failure modes of communication network. Meanwhile, combined with the classic BA network model in complex network theory, the effect laws of nodes function failure and performance failure on network reliability were investigated with the design of simulations using MATLAB and OPNET. The results have great guidance value for the simulation of network reliability and network reliability design under limited operation cost.
Multicast Address Allocation Based on Interest Constraints
Authors: Yu Yun Xia , Han Wei Qun , Tian Xiao Xuan
Published: August 2013

Multicast address allocation is a key and difficult points of HLA simulation system. Multicast address allocation need to select or improve according to the actual application needs. In the data distribution management based HLA simulation grid, for the contradiction of redundant data receives and multicast address demand , we put forward a multicast address allocation of HLA hierarchy structure and described the data forwarding algorithm. Within the site, multicast address allocation use the method based on the data receiver and forwarding server contains a filter allocation table based on the receiver's multicast address.When there is a data access, RTIA according to assign tables to forward the data to the appropriate multicast addresses. Using this method, you can avoid node receives data not related to.The simulation experiment and results analysis show that: the maximum level of nodes in the multicast reception of the message overhead can be significantly enhanced; using the hierarchical multicast routing aggregation, and based on the aggregation of routing information that is both feasible and effective.
Research on Relay Selection Based on Two-Hop Multi-Relay Networks
Authors: Wang Tao , Quan Hou De , Cui Pei Zhang
Published: August 2013

A relay selection criteria was proposed based on time division non-orthogonal cooperation, aiming at solving the problem of relay selection in the two-hop multi-relay cooperative communication to predigest the system design. The system BER (bit error rate) expression was obtained with its performance analysis under the condition of high SNR. Furthermore, computer simulations was conducted to show that the system diversity order is increased with the increase of the relay number under the condition of the distributed relay selection criterion, and diversity gain can be obtained significantly with the BER of the system significant decreasing.
Allocation of Space Network Accessing Resource Basing on Genetic Algorithm
Authors: Duan Si Rui , Liu Yuan An , Hu He Fei , Hu Li
Published: August 2013

The space network is a new generation technology of satellites information transmission. It is a fully space based information system which owns the abilities including information automatic connection and retransmission, multiple nodes interconnection. The accessing resource plays an important role in the nodes interconnection. How to efficiently allocate the limited resource of links in space network is an important research subject in this area. This article proposes an improved genetic algorithm to solve the problem. The predictable orbit parameters of satellites are used to optimize the algorithm. The simulation results show that the algorithm achieves a higher user access rate and a lower link switching rate.
A Design of Basis Function for Transform Domain Communication System
Authors: Wei Nai Qi , Chen Zi Li
Published: August 2013

To improve the systems anti-jamming capability by making full use of distributing information of background signals spectrum for basis function (BF) of transform domain communication system (TDCS), a method of basis function design using M-ary sequence to express spectrum amplitude is proposed. The short-time spectrum characteristic of modulated and demodulated signal of single-chip waveform coded basis function is analysed with jamming coexistence. Then the analytic expression of system bit error rate (BER) is derived and the optimization problem of solving the BER analytic expression is converted into the problem of solving maximum signal-to-interference-plus noise ratio (SINR). The problem is solved by utilizing the uniform distribution characteristic of random phase. Then the M-ary basis function is obtained. The simulation result shows that the designed system has better anti-jamming capability than conventional binary basis function system, especially in the condition of high interference-to-signal ratio.
Video Watermarking Scheme against Geometrical Distortions
Authors: Hu Shan Shan , Liu Fang
Published: August 2013

A new video watermarking scheme against geometric distortions is proposed, which is most suitable for DCT-encoded compressed video, like MPEG-2, MPEG-4, H.264, etc. To lower the computational cost, 2-D DFT coefficients are constructed directly from the block DCTs by exploiting a fast inter-transformation. Then a watermark is embedded in a RST (rotation, scaling, and translation) invariant domain generated by performing the Fourier-Mellin transform (FMT) on the 2-D DFT magnitudes. For resisting different video format conversion, the watermark detection is performed in the spatial domain. The experimental results show that the proposed scheme is transparent and robust to typical signal processing attacks, lots of commonly geometric distortions including scaling, rotation and some combination of several attacks, and frame dropping.
Research on Symbol Synchronization Algorithm of LTE System
Authors: Zhang Wen Jing , Wang Bao Qin , Fang Xu , Zhou Xu Yang , Sha Wei Chao
Published: August 2013

This paper designs and realizes algorithm of symbol synchronization for LTE system. In order to validate the feasibility of symbol timing synchronization algorithm, a series of simulations are performed with LTE channel models and the simulation results are analyzed carefully. Simulation shows that this algorithm has a great advantage of system implementation. It can be found the symbol start position within the shortest time.
Identification of the D-S Evidence Conflict Based on Multi-Source Information
Authors: Nan Feng , Li Yang
Published: August 2013

TO solve the applying constraints problem of D-S evidence conflict in multi-information fusion and achieve the systematic identification of evidence conflict,we introduce the K-L information on the distance function to describe the characteristics of the conflict between the evidence in the paper, construct the distance matrix defined the level of conflict of independent evidence in the whole system. Simulating results show that: the effective conflict identification of K-L information distance can complete the application constraint of D-S theorys synthetic rule, obtaining the optimized convergence results for synthesis of normal conflicting evidences, isolating the highly conflicting evidence.
Inventory Control Strategy Analysis for Repairable Units
Authors: Han Qing Tian
Published: August 2013

Firstly, considering the actual status and the characteristics of equipment management, the typical EOQ model was studied. Secondly, taking the ordering model with random demand as the research object, the inventory model under the condition with definite demand was established, and the optimal solution was given out. Finally, the simulation and calculation were carried out for a numerical example. The result shows the reasonable and applicable of the model.
Digital Watermarking Algorithm Based on Wavelet Analysis
Authors: Xu Qing Song
Published: August 2013

With the rapid development of the network and the multimedia technical , how to protect the security of the multimedia informations becomes the popular topic on studies. As a new technique used to protect the copyright of digital productions , the digital watermark technique has drawn extensive attention . A digital watermarking algorithm based on discrete wavelet transform (DWT) was presented according to human visual properties in the paper . Then some attack analyses were given. Experimental results show that the watermarking scheme proposed in this paper is invisible and robust to cropping, and also has good robustness to compression, filtering, and noise adding.
A Partitioning Image Retrieval Method Based on Regional Division and Polymerization
Authors: Li Quan
Published: August 2013

in order to further improve the retrieval accuracy of the image retrieval system based on shape feature. A partitioning image retrieval method based on regional division and polymerization is proposed in this paper. Firstly, an image is segmented by the regional division and polymerization method. Secondly, the shape and spatial features of different objects in the image are extracted by the invariant moment. Finally, images are retrieved by calculating the similarity of images, and five different types of images are tested by group. The experimental results show that it is more accurate for the algorithm to retrieve the users interested images.
The Research of Workflow Engine States
Authors: Shi Yan Rong , Hou Tao
Published: August 2013

Based on the analysis of the workflow patterns, this paper designs the active state of the workflow, and puts forward the idea of the logical design of the engine driven. It can conveniently define the information model of the workflow based on relational database systems, it can effectively reduce the difficulty on the technical development of the workflow engine and take full advantage of existing relational database system to realize the information system that has the nature of the workflow and reduce the cost of the implementation.
Fault Feature Extraction of High-Speed Automaton Based on Motion Morphology Decomposition
Authors: Wang Ai Yu , Pan Hong Xia , Liu Hui Ling
Published: August 2013

In order to obtain the characteristic parameters reflecting fault state of high-speed automaton (HSA), the fault feature extraction method based on motion morphology decomposition and wavelet packet transform (WPT) was presented. According to the movement law of the automaton, the vibration signal generated in three bursts of fire was decomposed into three separate signals, then the response signal in each shooting is a separate signal. Then using WPT to respectively extract wavelet packet energy from three separate signals as the fault characteristic parameters of HSA. By the example, the results show that the extracted fault features can well reflect the working conditions of automaton. Thus the proposed method could be used to extract the fault feature of automaton for monitoring the condition and diagnosing the fault of automaton.
Feature Extraction Algorithm Based on Sample Set Reconstruction
Authors: Jing Xiao Yuan , Ge Xiang Long , Yao Yong Fang , Yu Feng Nan
Published: August 2013

When the number of labeled training samples is very small, the sample information people can use would be very little and the recognition rates of traditional image recognition methods are not satisfactory. However, there is often some related information contained in other databases that is helpful to feature extraction. Thus, it is considered to take full advantage of the data information in other databases by transfer learning. In this paper, the idea of transferring the samples is employed and further we propose a feature extraction approach based on sample set reconstruction. We realize the approach by reconstructing the training sample set using the difference information among the samples of other databases. Experimental results on three widely used face databases AR, FERET, CAS-PEAL are presented to demonstrate the efficacy of the proposed approach in classification performance.
Effective Data Localization Using Consistent Hashing in Cloud Time-Series Databases
Authors: Zhao Jia Kui , Zhu Ping Fei , Yang Liang Huai
Published: August 2013

The commercial time-series database is suitable for processing the time-series data. However, a single commercial time-series database can only accommodate the time-series data acquired by limited amount of sensors. In this paper, in order to cope with the challenge of massive time-series data processing, we first propose a cloud time-series database framework based on commercial time-series databases, and then propose an effective consistent hashing based algorithm for solving the key problem, i.e., the data localization problem, in cloud time-series databases. A performance study shows the superiority of the framework and the algorithm for processing massive time-series data acquired by large amount of sensors.
Research of Data Mining of Vibratory Signal Based on Rough Set Theory
Authors: Xue Qin Zeng , Xue Gang , Liu Guo Ku
Published: August 2013

This paper sets three fault modes of rotor misalignment, pedestal looseness and rub between rotor and stator by rotor experimental platform and collected corresponding vibratory signals. Part of vibratory signal energy feature was extracted in the time field. As feature parameter of energy, the signal collected was mined using rough set theory, fault diagnosis was established on this basis. Validity of rule was verified by remaining vibratory signal, the result indicates diagnosis are accurate, fault diagnosis rule is meaningful.
CACOnt: A Ontology-Based Model for Context Modeling and Reasoning
Authors: Xu Nan , Zhang Wei Shi , Yang Hua Dong , Zhang Xiu Guo , Xing Xing
Published: August 2013

In this paper, we present a general and extensible context-aware computing ontology (CACOnt) for modeling context and providing inference mechanisms. CACOnt provides not only the generic context ontologies for capturing basic concepts about context, but also the extensibility for adding domain-specific ontologies in a hierarchical manner. CACOnt facilitates the context reasoning capabilities by providing semantic logics which is possible to combine with rule-based systems. However, the set of rules cannot entirely cover the domain of contexts, we present a semantic similarity-based rule matching algorithm as the solution to this problem.
A Novel Dynamic Mind Evolutionary Algorithm for Unit Economic Dispatch Problem
Authors: Zhu Ping Fei , Wang Lan Xiang , Li Yu Kai , Lai Yu Yang
Published: August 2013

Economic Dispatch (ED) is one of the optimization issues for improving the economic benefit of power plants. According to the framework of Mind Evolutionary Algorithm, we proposed a new developed Dynamic Mind Evolutionary Algorithm (DMEA) to solve the ED problem. Specifically, the economic model in power plants was built firstly. Secondly, an individual evaluation function is presented. Thirdly, simplex method was used to search the extreme value of each sub-group. Then, sub-groups are separated at the step similartaxis operator, while the sub-groups with the same extreme value are assembled at the step dissimilation operator, so that the extreme value of each local space can be found efficiently. Ultimately, it can avoid repeated search for the same space due to the record of the searched area. Including DMEA, three different methods were compared under the same illustration. The simulation results demonstrate the effect of DMEA.
FBG Sensor Technique for Dynamic Relative Displacements Measurement
Authors: Li Chun Zhi , Wen Yong , Liu Bin
Published: August 2013

The technique of optical fiber grating with high tensile strength, small size, and light weight has been widely used for temperature and strain measurement. In this paper, a new flexible fiber Bragg grating sensing beam including its design, calibration, and application is presented for effectively measuring dynamic relative displacement inside the assembled joints in a shaking table test. The two FBG sensors are encapsulated in one flexible arched-beam slice, while FBG sensors are separately located in up-down position of one flexible slice. The arched-beam-based FBG sensor has been fabricated by employing a series of FBG sensors along with design of temperature compensation. Based on this design, the positive and negative strain will make the spectra broaden as the displacement increases, thus by converting strains to relative displacements is derived by calibration data. The relative displacement measured by FBG sensor under dynamic environment are available, subsequently, it can be concluded that the flexible arched-beam-based FBG is capable of measuring dynamic relative displacements with good accuracy mounted in the narrow space of a complex structure.
Determine the Polarity of Domain-Specific Sentiment Words with Usage of Semantic Pattern of Sentences
Authors: Yang Li Gong , Deng Bo
Published: August 2013

Text sentiment analysis is a new branch of computational linguistics which is widely concerned. In this paper, we present an approach to determine polarity of sentiment word based on context of sentence. We first change the context of sentence to semantic pattern vector, calculate the between different sentences, then compare sentences context indirectly by comparing similarity of their pattern vector, next we annotate polarity of sentiment word according to comparing result. Experiment shows that when the context of two sentences have high similarity, it is likely to have high precision in recognizing polarity of sentiment word. Our study shows it's feasible to use semantic pattern vector in representing context and judging polarity of sentiment words.
Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis
Authors: Jiang Lin Cheng , Tan Wen Tang , Wang Zhen Wen , Yin Feng Jing , Ge Bin , Xiao Wen Dong
Published: August 2013

Feature selection has become the focus of research areas of applications with high dimensional data. Nonnegative matrix factorization (NMF) is a good method for dimensionality reduction but it cant select the optimal feature subset for its a feature extraction method. In this paper, a two-step strategy method based on improved NMF is proposed.The first step is to get the basis of each catagory in the dataset by NMF. Added constrains can guarantee these basises are sparse and mostly distinguish from each other which can contribute to classfication. An auxiliary function is used to prove the algorithm convergent.The classic ReliefF algorithm is used to weight each feature by all the basis vectors and choose the optimal feature subset in the second step.The experimental results revealed that the proposed method can select a representive and relevant feature subset which is effective in improving the performance of the classifier.
Studies and Applies of the Data Mining in the Mathematical Modelling
Authors: Liu He , Zhang Xing Gang
Published: August 2013

Along with the coming of information age, many websites use its formidable resources and popularity, provides day by day the service of specialized and convenient to its member group. The members online rent DVD, became the website management administrative personnel the issue of concern. How to having the data carries on the analysis processing, is solves this problem the key. The article through building the mathematical model, has solved this problem using the data mining technique very well.
Kalman Filter Algorithm for Adaptive Digital Predistortion
Authors: Kong Xiao Wei , Li Jin Zheng , Xia Wei , He Zi Shu
Published: August 2013

This paper introduces a recursive algorithm of Kalman filter for digital predistorter parameters extraction based on memory polynomials predistorter model. The predistorter model is firstly formulated as linear regression expression. Then we derive the state-space equation of the model and attain the steps of the algorithm. Finally, the accuracy and stability of the algorithm is proved by simulation.
A Data Storage and Management Scheme in Cloud Storage Model
Authors: Cai Ze Hua , Wang Shun Yan , Long Shang Yin , Zhou Hai Tao
Published: August 2013

The cloud storage is the evolution of the cloud computing system, which is based on data storage and management. This thesis is focused on the discussion of the cloud storage model that is built on the Cloud Storage Access Protocol of SNIA, and puts forward the concept of storage pooling at storage management layer with unified virtualization and dynamic management on physical storage devices. The thesis also compares the typical DFS (Distributed File System) on the data management layer in different data conditions.
One Kind of Data Acquisition System Used in PC104 Embedded Navigation Computer
Authors: Liu Zhao Hua , Mao Yu Liang , Song Chun Lei
Published: August 2013

In order to meet requirements of real-time dynamic navigation system, one multi-channels synchronization data acquisition system was designed based on PC104 bus. It can achieve simultaneous sampling of multiple channels data in one conversion cycle of ADC. The logic control is performed by FPGA, FIFO integrated by FPGA is used as buffer, so we can use resources of FPGA in large. At the same time, this design simplified the hardware circuit and improved circuit configuration flexibility. Using interrupt mode to read data into the FIFO, so it enhanced the data acquisition speed and reduced the burden on the navigation computer. Tests proved this system is efficient and feasible.
A New Joint Algorithm Based on EMD-ICA to Reduce the Cross-Term in Wigner-Vill Distribution
Authors: Liu Wei , Liu Zeng Li , He Xin Xin , Yao Hao Ran
Published: August 2013

Wigner-Vill distribution (WVD) will inevitably have cross-terms when it used for time-frequency representation in a multi-component signal. In order to suppress the cross-terms in Wigner-Vill distribution, this paper proposes a joint algorithm based on EMD-ICA. This algorithm resolves a multi-component signal into several IMF components used by EMD at first, and then each IMF component is used FastICA algorithm for processing, and next seeks the Wigner-Vill distribution of each component, finally, add up the results. This method effectively inhibited the emergence of cross-terms in Wigner-Vill distribution, and keeps the properties of time-frequency concentration higher.
Study of Determination of Microwave Dielectric Properties Based on Resonance Cavity Perturbation Method
Authors: Li Guang Yu , Gao Hong Min , Yu Xiang Zhi , Fei Yuan Chun
Published: August 2013

For the study of effects of perturbation, such as the change in the resonant frequency and in the other parameters of a rectangular cavity, the resonance condition, the resonant wavelength and the resonant frequency are analyzed in this paper, with the help of perturbation method in a resonance cavity of the reflection type. The relation is deduced in detail under two suppose conditions, which is between the resonant frequency and the dielectric constant or the permeability of the medium filled in the cavity. The accurate relation between the changes in the resonant frequency and in the dielectric constant or the permeability is established. This paper provides the scientific basis for research on the intrinsic characteristic of medium.
Research and Application of Poplar Growth Model
Authors: Zhang Wen Qing , Li Yuan , Liao Yong
Published: August 2013

In order to achieve the quantification analysis and visualization of poplar morphology, the technology framework of poplar simulation based on growth model is made. The paper carries out data collection and field observation, then the morphological structure parameters and knowledge models which can describe different poplar varieties are constructed, in the framework of the poplar growth models we integrate poplar morphological knowledge models and geometric models based on morphological character parameters, make the growth model of poplar can output morphological character parameters and topological structure, and further perform the geometric model reconstruction of poplar growth simulation. Practice has proved that the construction of growth models of poplar can simulate the poplar growth at different growth stages, and provide new ideas and means for growth simulation research of poplar morphology structure.
Discovering Algorithmic Relationship between Programming Resources on the Web
Authors: Zhu Guo Jin , Zhang Kai , Li Ji Yun
Published: August 2013

Algorithmic relationships are discovered here for programming tutoring. There are two kinds of algorithmic relationships between programming resources on the web: associative relationship and structural similarity relationship. They can be organized as a hierarchical body. An algorithm can solve different programming problems and a programming problem also can be solved by different algorithms. Thus, there is such algorithmic relationship, or associative relationship, between these programming resources on the web. The algorithmic structures of source codes can be mined by neural computing. Different source codes may have a structural similarity relationship between them, meaning that they are similar in their algorithmic structures. A learner can learn algorithms from simple to complicated structures or from similarities in their structures. In our experiment, we use a tree structure to organize the algorithmic relationships.
A Multi-Dimensional Data Storage Using Quad-Tree and Z-Ordering
Authors: Hou Fang , Huang Cheng Hui , Lu Ji Yuan
Published: August 2013

Multi-dimensional applications use tree structure to store data and space filling curves to traverse data. Most frequently used Quad-tree and Z-ordering curve are analyzed. By importing these to a HDF5 file format, a multi-dimensional data storage subsystem is constructed. Performance test results show in a sequential reading application environment, this method is feasible and efficient.
Method of Mathematical Modeling Based on PSO Algorithms
Authors: Li Guo He , Yue Xiang , Wu Wei Jiang , Zhao Jiang Hui
Published: August 2013

In order to set up universal and non-linear map of variables, a full binary tree is constructed as mathematical model. Leaf nodes of the full binary tree are linear combination of input variables, and used as inputs of next nodes. On the basis of weighting two inputs by selector for inner node, the inputs are again linearly combined and used as output for next node. The inputs and outputs of all the inner nodes are constructed in turn as the same, and the output of root node is the output of mathematical model, implementing segment-linear approximation. With the means of machine learning of particle swarm optimization for data from some areas, all the coefficients of mathematical model are achieved for the special. The mathematical model is applied to seismic inversion to interpret stratum by seismic data, approving it very practical.
A Method of Inquiring Ontology with Semantic Templates
Authors: Ouyang Xin , Shuai Chun Yan
Published: August 2013

It is always a challenge by using statistical method in corpus database to analyze semantics of natural language Sentences (NLS). This paper proposes a method of recognizing and translating ontology query in natural language, called OntoQuery-NLP. With the help of pre-create semantic templates, the OntoQuery-NLP maps NLSs matching the format of the semantic templates into formal semantic expressions. By parsing these semantic expressions, the OntoQuery-NLP recognizes the queries and gets the correct answers from ontology. Compared with other methods, the OntoQuery-NLP, without the support of any corpus, has faster retrieving speed and higher retrieving accuracy.
An Approach of Web Page Information Extraction
Authors: Li Yao Hui , Wang Li Xia , Wang Jian Xiong , Yue Jie , Zhao Ming Zhan
Published: August 2013

The Web has become the largest information source, but the noise content is an inevitable part in any web pages. The noise content reduces the nicety of search engine and increases the load of server. Information extraction technology has been developed. Information extraction technology is mostly based on page segmentation. Through analyzed the existing method of page segmentation, an approach of web page information extraction is provided. The block node is identified by analyzing attributes of HTML tags. This algorithm is easy to implementation. Experiments prove its good performance.
Single Chip Microcomputer Technology of PIC Application in the Mining Area Control System
Authors: Tao Zhang
Published: August 2013

For days, we are widespread in many parts of the fog haze weather, the gray one everywhere, level of air quality is heavily contaminated, including sources of PM2.5 is complex, both the pollution from motor vehicles, also has the fine particles from the burning of coal, at the same time in the air such as sulfur dioxide, nitrogen oxides and volatile organic compounds, after a series of complex changes, small particles generated the harmful to human body. In change this study, we introduced the PIC control technology; this technology can effectively improve the combustion of coal mine air pollution.
A Method for Generating the Timetable of Double-Track Railway Line
Authors: Zhang Yan , Cui Yan Ping , Yang Wen Tao
Published: August 2013

Passenger and freight train scheduling problem on double-track railway line is considered by using Ant Colony Optimization (ACO) algorithm. The aim is to reasonably arrange the dispatch sequence of the trains to minimize the total run time. The constrains in train scheduling problem are considered and the model is established. Due to the complexity of train scheduling problem, this problem is solved by ACO and implemented by programming. A case study is presented to illustrate the solution. The results illustrate that the proposed method is effective to solve the scheduling problem on double-track railway line.
Methods of Predicting the Brain Activity Based on Noun
Authors: Jiang Jian Hua , Yu Xu , Huang Zhi Xing
Published: August 2013

Over the last decade, functional magnetic resonance imaging (fMRI) has become a primary tool to predict the brain activity.During the past research, researchers transfer the focus from the picture to the word.The results of these researches are relatively successful. In this paper, several typical methods which are machine learning methods are introduced. And most of the methods are by using fMRI data associated with words features. The semantic features (properties or factors) support words neural representation, and have a certain commonality in the people.The purpose of the application of these methods is used for prediction or classification.
The Page Flow Implements Business Logic in Web Applications
Authors: Li Hai Jun
Published: August 2013

This paper discusses the application of the technology of NetUI flow page in the business logic of Web applications. The page flow uses declarative programming method, and has session state and modular design, which can be nested to use and effectively separate the logical code in the Web applications, to make the application structure clear, easy to be read and modified. The paper references a business logic of the users login authentication to illustrate the implementation process of the entire page flow.
A Semantic Query Method for Deep Web
Authors: Jiang Hao , Liu Wen Ju , Lu Li Li
Published: August 2013

Based on the idea of "functionality-centric", this paper proposes a complete set of oriented semantic query methods for Deep Web, builds up the relevant software architecture, provides a new method for full use of Deep Web data resources in semantic web environment through describing the establishment of the semantic environment, re-writing the SPARQL-to-SQL query, semantic packaging of semantic query result, and the architecture of semantic query services.
The Petri Net Model of the Requirements and Service Composition
Authors: Chen Zhi Juan , Ye Rong Hua
Published: August 2013

In the service-oriented environment, the composition of multiple web services is always used to satisfy the given request. To meet the request, the compositions of the services are various. Aim at such difficulty, described with the environment ontology, the relative theory of Petri net is proposed to build up the service composition requirement model. After simplify the model, an algorithm of building a reachability tree is proposed. Then all the possible service compositions are got through an algorithm similar as depth-first search. At last, we use the classic example of travel arrangement to verify the theory above all.
The Design and Implementation of Florists Shop Online System Based on J2EE
Authors: Shi Hui , Zhai Hui , Zhai Rui
Published: August 2013

With the rapid development of Internet, e-commerce had been widely using by more and more people, so had shopping online . The J2EE architecture was adopted in this paper. An florists shop online system was designed and implemented based on the analysis of the actual needs of users. Through running test for a period of time, the system could be operated steadily, and its function was complete. The system could achieve flower sales on line that was highly efficient and convenient, and the design purpose was achieved also.
A Novel Model-Based Method for Automatic Generation of FMEA
Authors: Zhang Juan , Li Guo Qi
Published: August 2013

FMEA is a popular safety analysis method for embedded software and its automatic generation is a hot topic recently. In this paper, a novel model-based method for automatic generation of FMEA is presented, which is hopeful to overcome the shortages of exit automatic generation methods. The methodology and procedures of the method are described in detail.
Research of Railway Telecontrol Video Monitoring System Based on the Network Communication Technology
Authors: Sun Ai Feng
Published: August 2013

Electric power automation system can also be called telecontrol system, while video monitoring technology is one of the key of video compression and coding technology. In view of the actual situation of video signal remote transmission, high compression rate and good quality standard should be considered and chosen in priority. This paper analyzes the h.264 standard code rate control method and proposes jump frame judgment criterion based on MAD ratio. Furthermore, it elaborates the contrast test results between the jump frame algorithm and the previous algorithm. Telecontrol video monitoring system should be based on digital video recorder optimization (DVR) design and video monitoring system integrated communication design, which can guarantee the transmission quality of electric power remote data and video data. This paper discusses the main functions of the video management system and the design scheme of the software system.
A Fast Algorithm for Monostatic RCS Based on Lu Decomposition
Authors: Xie Xiao Gang , Yu Tong Bin , Qian Zu Ping , Zhang Lei , Liu Ying
Published: August 2013

Compared with bistatic RCS, the monostatic RCS calculation is more difficult for the needs of surface current on scatterer induced by the incident wave of every single angle, so the calculation burthen is very large. Based on the character of impedance matrix of MOM is invariable whether the angle of incident wave was changed, this paper proposes a fast algorithm for monostatic RCS based on LU decomposition. Numerical results show out that this algorithm can compress the computation burthen of monostatic RCS significantly, and this algorithm is easy to operate.
A Double Semantic Network for Intelligent Search
Authors: Li Guo Gang , Feng Tao , Li Guo Qiang , Wang Hua
Published: August 2013

The traditional semantic network retrieval has the following two urgent problems to be solved . The first problem is that the two concepts on the surface look very relevant, but vocabulary used to describe the two concepts has no contact, and in fact ,the two concepts are very poorly correlated. The second problem is that the two concepts on the surface do not seem related, but many words used to describe the two concepts have the same or related aspects, and the two concepts actually have great correlation. We call the two kinds of phenomena misjudge of the relationship between the two concepts. The retrieval mechanism studied in this paper aims to synthesize direct relations and internal relations between concepts, and to establish a higher intelligent double semantic network retrieval of concept network and sememe network.
Template-Based Delta Compression of Large Scale Web Pages
Authors: Lei Kai , Sun Guang Yu , Huang Lian En
Published: August 2013

Delta compression techniques are commonly used in the context of version control systems and the World Wide Web. They are used to compactly encode the differences between two files or strings in order to reduce communication or storage costs. In this paper, we study the use of delta compression in compressing massive web pages according to the similarity of their templates. We propose a framework for template-based delta compression which uses template-based clustering techniques to find the web pages that have similar templates and then encode their differences with delta compression techniques to reduce the storage cost. We also propose a filter-based optimization of Diff algorithm to improve the efficiency of the delta compression approach. To demonstrate the efficiency of our approach, we present experimental results on massive web pages. Our experiments show that template-based delta compression achieves significant improvements in compression ratio as compared to individually compressing each web page.
Implementation of Off-Line Programming for Robot Roller Hemming
Authors: Wang Jian Qiang , Zhu Lu Sheng , Wang Zhong Hua , Yang Jian , Tang Dong Hua
Published: August 2013

The purpose of this paper is to introduce the important steps of OLP (off-line programming) for robot roller hemming, including acquisition of virtual environment, trajectory generation and optimization and calibration. And an algorithm for calibration was also introduced which is of high accuracy with lower cost. The feasibility of OLP for robot roller hemming was validated by the final experiment.
A New Multivariate-Based Ring Signature Scheme
Authors: Wang Ling Ling
Published: August 2013

Most of the existing ring signature schemes are based on traditional cryptography, such as RSA and discrete logarithm. Unfortunately these schemes would be broken if quantum computers emerge. The MQ-problem based Public-Key Cryptosystem (MPKC) is an important alternative to traditional PKCs for its potential to resist future attacks of quantum computers. In this paper, we proposed a new ring signature scheme based on MPKC, which has the properties of consistent, unforgery, signer-anonymity.