bluuebunny/crossref_metadata_2025 huggingface dataset:
Assessing Efficiency of Cloud-Based Services by the Method of Linear Programming
Authors: Razumnikov S.V.
Published: August 2013

This paper summarizes cloud computing services presented at the market nowadays, describes their features, and introduces an economic and mathematical modeling algorithm for assessing the output of cloud-based services using the linear optimization method
A Method for Computing Flight Track in Simulation and Reconstruction
Authors: Sun Hua Bo , Zhong Min Zhu , Yu Li Ling
Published: August 2013

With the enhancement of safety factor in civil aviation, simulation technology has been paid more and more attention and got comprehensive application. We describe the application of simulation technology in the field of civil aviation security, such as runway generation, terrain reproduction, data import and export, and flight path computing and so on. We propose a method for computing flight path in simulation and reconstruction, and analyze the solving process in detail. We perform the calculation results of the simulation reproduction with CEFA software and Google earth.
The Best Perturbation Method for the Parameter Inversion of Two-Dimension Convection-Diffusion Equation
Authors: Liu Xiang Guo
Published: August 2013

The paper researches the parametric inversion of the two-dimensional convection-diffusion equation by means of best perturbation method, draw a Numerical Solution for such inverse problem. It is shown by numerical simulations that the method is feasible and effective.
Analysis on Children Custody Decision Making Model
Authors: Gu Yi , Zhang Guang Ming
Published: August 2013

Children custody disputes are complicated for many judges owing to so many dynamic factors should to be considered. This paper proposes a novel model for legal expert system Based on LVQ Neural Network. Firstly, all clauses and discretionary factors, extracted from theories and judicial practice, involved with custody disputes in divorce were quantified to obtain related set elements. Then the LVQ neural network was applied to construct a model for children custody disputes weight vector analysis on the set elements. Ultimately, the weight vector close to decision boundaries between classes could promote the classification performance. Accordingly, the performance of the LVQ by generating weight vectors close to decision boundaries is higher. By testing, custody disputes legal expert system could consider all relevant circumstances from a good all-around point of view and effectively.
Frequency Reliability Analysis of Diamond Circular Saw Blade
Authors: Yuan Zhe , Qin Zi Fang , Cao Rui Yuan , Song Li Li
Published: August 2013

To improve the performance of diamond saw blade sawing, reduce vibration at the time of its work, prevent the blade resonance, the parametric model of diamond saw blade was been established based on the finite element software ANSYS, and the analysis file was been established through the structural reliability analysis module of the finite element analysis software ANSYS. The finite element method combined with the Monte Carlo method can be used to get the sensitivity index which effect the diamond saw blade security and the probability distribution function and the other principal impact factors, and which is theoretical basis for the diamond saw blade optimization and design.
Research on the Construction Window Forecast of Immersed Tunnel Based on the Decision-Making Analysis
Authors: Lin Mei Hong , Lü Wei Qing , Ying Zong Quan , Su Lin Wang
Published: August 2013

A construction window forecast method of large-scale tunnel elements is presented based on the group decision-making algorithm. Based on superiority method and satisfaction value method, multi-attributes group decision making algorithm for force and stability condition screening and window forecast algorithm is also provided, optimal evaluation function decision-making method for selection of construction window is also provided, these methods can take a quick solution for environment limit conditions. The whole construction window forecast method is applied to construction window forecast for the undocking, floating transport and mooring of tunnel elements, the results show that the method can give a good suggestion for engineers.
A Parallel Intelligence Algorithm for RNA Secondary Structure Prediction
Authors: Liu Chun Lei , Ji Zhen Zhou , Hong Ying Sen
Published: August 2013

RNA secondary structure prediction algorithms tend to have higher time and space complexity. Some swarm intelligence algorithms can be applied to RNA secondary structure prediction on the basis of stem regions combinatorial optimization. This paper presents a parallel discrete shuffled frog leaping algorithm (parallel-DSFLA), which can run on a distributed cluster using the MPI programming mode. The experimental results show that the parallel-DSFLA got better speed-up ratio, can improve the RNA secondary structure prediction efficiency and save time.
On the Positive Definite Solutions of a Nonlinear Matrix Equation
Authors: Wang Ming Hui , Liang Chun Yan , Hu Shan Rui
Published: August 2013

In this paper, the nonlinear matrix equation is investigated. Based on the fixed-point theory, the boundary and the existence of the solution with the case are discussed. An algorithm that avoids matrix inversion with the case is proposed.
Classical Mathematical Analysis on Family Survival Tragedy Based on Principal Component Analysis and Matrix Vector
Authors: Xing Gui Li
Published: August 2013

The theme of The Sound and the Fury is a constancy theme in the literature world. It is embodied in the declination of the Compson family. It is also a theme that produced in the transformation of the entire world from the traditional to the modern. The text reveals the nature of the tragedy through Sartre Libertarian, Heidegger's phenomenology of death, Fromm and Marx's theory of alienation. The principal component analysis is used to analyze the tragedy in the wor that produced in man's own survival predicament process of eigenvalues and eigenvectors. Simultaneously it analyzes the coupling relationship of the influence factors of tragedy. We can discover the true meaning of tragedy related to the Existential of death. To a certain extent, we can provide a theoretical basis and technical support for the appreciation and literary value of The Sound and the Fury.
Bearing Pressure Risk Prediction Algorithm Research and Simulation for Single Points of the Building Materials
Authors: Wan Jian
Published: August 2013

The pressure testing of the building materials has been a hot topic of research in the field of architecture. Traditional building materials pressure testing methods all calculate the larger bearing pressure fragile area, and are difficult to be accurate to the very point. This is mainly because of the larger range of signal distribution, which avianizes the correlation of the signal. To address the problem mentioned above, a bearing pressure fragile support point positioning algorithm for the building materials is proposed. The algorithm The combines the quantum computing with the neuron model in neural network to form the quantum neurons, and then expands them into a quantum neural network to achieve the functions of the traditional neural network, enhance the optimization capability of computing the small surface area of the building materials and ensure that the bearing pressure fragile support area of the building materials is further reduced, and shorten the positioning range. Simulation results show that the proposed method has better positioning effect on bearing pressure fragile points computing of the building and higher positioning accuracy.
Research on Ramanujan-FMT Modulation and the Efficient Implementation Algorithm
Authors: Zhou Li Na , Shang Jia Dong , Yang Lan
Published: August 2013

Ramanujan Sums (RS) and their Fourier transforms attract many attentions in signal processing in recent years. Thanks to their non-periodic and non-uniform spectrum, RS are widely used in low-frequency noise processing, e.g., Doppler spectrum estimation and time-frequency analysis. We proved the transforms can be perfectly reconstructed under certain circumstance and built a multi-tone system using Ramanujan Fourier transforms as modulation and demodulation. This system got a lower BER in AWGN channel compare to OFDM.
An Improved Ant Colony Algorithm Applied in the TSP Problem
Authors: Wang Meng Lan
Published: August 2013

Ant colony algorithm is a kind of intelligent algorithm imitating the group behavior of ants. The positive feedback mechanism is not only its advantage which makes the ant colony algorithm quickly converge to optimal solutions of a problem, but also its defect which makes it easy to fall into the local optimal solutions. ACS and MMAS are the two typically improved ant algorithms by introducing the pseudo random probability selection rule and maximum-minimum pheromone restriction rule to accelerate the converging speed of this algorithm and avoid falling into local optimal solutions. At present, there is no algorithm put forward to improve the algorithm using the effect of the heuristic information. This paper presents an improved ant colony algorithm based on the heuristic information of direction, and provides a new idea for the study on the improved ant colony algorithm.
Multi-UAV Air-Combat Strategy Research Base on the Incomplete Information Dynamic Game in Uncertain Environment
Authors: Chen Xia , Zhao Ming Ming
Published: August 2013

This paper established the multi UAV incomplete information dynamic game model under uncertain environment based on incomplete information dynamic game theory and the problem of multi UAV attack-defend; for the interval information payment matrix under the uncertain environment, solve the incomplete information dynamic game Bayesian Nash equilibrium solution and get the optimal UAV combat strategy sequence. The simulations results show that the model could apply to the problem of UAV attack-defends campaign under uncertain environment reasonably and have better application value.
Research on Feasibility Evaluation of Helicopter Route Based on GIS and Analytic Hierarchy Process
Authors: He Yan , Jun Han
Published: August 2013

This paper systematic analysis the factors which affect the feasibility of helicopter route from the point view of GIS. The affecting factors will be divided into geographical and non-geographical influencing factors. Based on calculate the geographical influencing factors precisely, establish the comprehensive multi-level evaluation model and give an example show how to calculate and judge the routes feasibility whether or not, this method can make decision and choose flight route for helicopter more scientific and rationally.
ICT Competency Framework and Training Strategies
Authors: Wang Shu Hua
Published: August 2013

This paper intends to construct a competency framework for bilingual teachers in universities of China on the review of literature on this topic home and abroad. The author mentions the necessity of setting up an ICT competency standard and proposes an ICT competency framework for bilingual teachers; according to the status quo of teachers using ICT in teaching, suggestions are put forward on teacher training.
Advances of Virtual Maintenance Technology
Authors: Wang Mei , Yang Hui , Zhang Wu Rong , Ma Yan , Xue Xiang Feng , Sun Yan Fei , Hao Yan Jun , Li Xin Jian , Lv Cao Fang , Chen Gang , Hou Zhi Bin
Published: August 2013

Virtual Maintenance Technology (VMT), characterized with advantages such as high integration, strong interactivity and economical efficiency, has been broadly applied in industrial applications, academic researches and software systems. Through basic elements and vital technologies on virtual maintenance, the advantages and differences among different methods are analyzed and compared in terms of research advances. By summarizing the critical features of virtual maintenance technology, the future directions in this area are pinpointed.
Brake Distance Calculation of CRH
Authors: Peng Xu , Zhou Ying Ying , Li Qian Yong , He Xiao Qiong
Published: August 2013

With the development of high-speed railway in China, CRH is widely used in railway transportation. Traditional method of braking distance calculation is not suitable for CRH. In this paper, a more accurate brake distance of CRH locomotive has been calculated by using the calculus form of the kinematics formulas and verified by real data. Compared with existing data, the authenticity of this calculation is notable. The result is of real value for the researches about high speed train and it makes the control of CRH more accurate.
Design and Application of the Efficient Time-Division Multiple Address Protocol for Hybrid Server
Authors: Zhang Yi Bo , Li Yan Qin
Published: August 2013

The protocol of the hybrid server was designed based on the Internet of things for the realization of the intelligent management with the different equipments under the Internet of things. The Internet of things had large number of nodes, and the net topology was easy to change, it also had high requirements for the reliability. According to the properties of these properties, an efficient time-division multiple address protocol that was called E-TDMA protocol was proposed based on the improvement of the time division multiple address protocol. A power management system was designed based on the Internet of things, and the Internet of things was applied in the intelligent power management system, the indexes of the E-TDMA protocol based on the Internet of things such as throughput capacity, network stability were tested with the simulation. Test result shows that the number of the data packets in the buffer cache is much less than the traditional TDMA protocol and the dynamical TDMA protocol. It is because that the E-TDMA can make all the units can send data in the same time through CDMS coding. The result shows that the proposed E-TDMA protocol has efficient performance of accessing to the information channel and stability of network transmission in the application of the power management system.
Research and Development of DCS Test Software Based on the OPC Technology
Authors: Gao Qiang , Li Hang , Li Jun Fang , Zhao De Quan
Published: August 2013

Aiming at the communication test problem of the DCS upgraded, the novel test software, which contains the functions of DCS digital test, DCS analogue test and data error test, has been developed based on OPC technology in this paper. This software can connect the OPC server of the tested DCS with the remote OPC server of the hardware test platform. Besides, it can realize the real-time acquisition and control of the process data between the two systems. Finally, the system has achieved the purpose of the DCS communication and data error test in the control loop by combining with the internal procedures. The test results have been proved that this software could realize the relevant functions of DCS communication test and could get good usability and scalability.
Research on Load Simulator Based on CMAC Neural Network
Authors: Tian Ju , Guo Yan Ying
Published: August 2013

A novel parallel control strategy based on the CMAC controller and PID control is proposed which is to solve the problem of extraneous torque which exists in the load simulator. In which, the CMAC controller realizes feed forward control, yet conventional PID controller only realizes feedback control, and using the PD algorithm improves system. The simulation results show that output of the conventional PID controller completes unceasing on-line learning by the CMAC neural network. Effectively suppress the extra torque of the load simulator, the Load Simulator system performance has been improved significantly.
Semantic Relationships of Scientific Discourses
Authors: Xu Hao
Published: August 2013

Scientific discourses have obviously enhanced their accessibility and reusability in response to the development of Semantic Web technologies. A handful of representation models of discourse representation have been proposed during these years for semantic search and strategy reading. In this paper, we delineate the relationships that operate between entities or specific instances of entities, such as Semantic Relationships. Such definitions and demonstrations of relationships will be served for semantic algorithms and applications.
Modeling and Simulation of Turning Characteristic of Batoid
Authors: Tang Chao , Shi Sheng Jun , Chen Wei Shan
Published: August 2013

With the upsurge of marine research coming, research of the bionic fish robot is imperative. In numerous kinds of fish, batoid as the representative of the undulating pectoral fins fish are characterized by maneuverability which adapted to the complex underwater environment. This paper establishes entity model, kinematics model and dynamic model of batoid, uses means of numerical simulation to realize batoid turning in the water , and then plans turning motion of batoid. For this simulation, trajectory which is very close to the turning of real batoid is obtained to prove our modeling and simulation correct.
The Design of IPTV STB Based on Android
Authors: Wu Dong Yan , Cao Jian Dong , Wu Qi
Published: August 2013

IPTV is a new TV style. IPTV STB is the key device of IPTV system. In this paper, we will select the ARM9E as the embedded chip. We designed a new IPTV STB based on Android system. The system structure chart of STB may be helpful for the IPTV system.
UML and CORBA-Based Laser Atmospheric Transmission Framework Design
Authors: Chen Huang Fei , Chen Yong
Published: August 2013

It is introducting a system of Laser atmospheric transmission.In order to researching this system, system is modeled by uml.And this system is based on CORBA technology.This paper UML,CORBA technology,design the framework of the system and provide part of the IDL interface.This paper lay the foundation for further study.
Research on Business Website Development Joining Innovative Ability
Authors: Gong Song Jie
Published: August 2013

Innovative ability is the important content of higher vocational education. The cultivation of practice and innovation ability of college students is not only confined to a single practice ability, but includes the comprehensive ability cultivating, such as expression, questioning, thinking and so on. Practice has proved that the students comprehensive occupation quality can be improved through the cultivation of students innovation ability. But how to cultivate and improve students innovative ability in business website development teaching is a serious problem for computer teachers. Starting from the reality of business website development teaching in higher vocational college, the paper discusses how to efficiently cultivate the current higher vocational students innovative ability and spirits in classroom teaching mode from several aspects, provides new attempts for future development of higher vocational education.
CTW: A Software System for ChIP Data Analysis Based on Workflow
Authors: Huang Yu , Wang Jian Yong , Hu Bing , Wei Xiao Mei
Published: August 2013

In recent research, to analyze the ChIP (chromatin immunoprecipitation) data, many algorithms and computer tools have been developed. Since these programs are developed by academic institutes independently, the lack of common standard makes the talks between them difficult. In this paper, we developed a software system based on workflow for ChIP data analysis, namely CTW (ChIP-Tool-Workflow). CTW is a java-based software platform, which provides a common development interface to integrate data and programs. At the moment, many data types and tools abstracted from CisGenome, MAT and QuEST are integrated. CTW is designed to meet all basic needs of ChIP data analyses, including visualization, data normalization, peak detection, false discovery rate computation, gene-peak association, and sequence and motif analysis. Because the interface developed is very general and flexible, new analysis tools can be integrated effectively as required. CTW implies an ideal environment for integrative Biological research.
Intrusion Detection Model Based on Improved Genetic Algorithm Neural Network in Computer Integrated Process System
Authors: Zou Li Kun , Liu Shao Kun , Ma Guo Fu
Published: August 2013

In order to solve the problems of high false alarm rate and fail rate in intrusion detection system of Computer Integrated Process System (CIPS) network, this paper takes advantage that Genetic Algorithm (GA) possesses overall optimization seeking ability and neural network has formidable approaching ability to the non-linear mapping to propose an intrusion detection model based on Genetic Algorithm Neural Network (GANN) with self-learning and adaptive capacity, which includes data collection module, data preprocessing module, neural network analysis module and intrusion alarm module. To overcome the shortcomings that GA is easy to fall into the extreme value and searches slowly, it improves the adjusting method of GANN fitness value and optimizes the parameter settings of GA. The improved GA is used to optimize BP neural network. Simulation results show that the model makes the detection rate of the system enhance to 97.11%.
Web Form Entrance Detection and Automatic Form Filling
Authors: Shang Wen Qian
Published: August 2013

At present, deep web information mining is a considerably potential research area. How to get this massive and valuable information hidden after the database is need to be studied further. So this paper presents an approach that includes web pages analysis, getting forms, form analysis, automatic form filling, automatic form submission and acquiring returning pages. The aim is to let the computer automatically complete this process. The experimental results show the feasibility of this method. It can automatically complete the entire process.
A Granular Approach to Analyze Spatiotemporal Data
Authors: Song Ming Li , Wang Shu Juan
Published: August 2013

Spatiotemporal data are widely visible in everyday life. This paper proposes an algorithm to represent them in a granular wayinformation granules. Information granules can be regarded as a collection of conceptual landmarks using which people can view the data and describe them in a semantic way. The key objective of this paper is to introduce a new granular way of data analysis through their granulation. Several experiments are done with synthetic data and the results show a clear way how our algorithm performs.
Environmental Examination of Data Mining Algorithms Based on Cloud-Computing
Authors: Guo Yi Zhuo , Dai Tao
Published: August 2013

This article on cloud computing and data mining to a more comprehensive study to introduce the concept of cloud computing and data mining, pointed out that the traditional data mining techniques in the case of network test system of massive data mining, processing speed is slow, the load is not balancing and node efficiency is not high enough, Apriori algorithm based on the Map/Reduce parallel programming model, the distributed nature of cloud computing environments, make full use of cluster computing resources to support the parallel execution of algorithms by examples of cloud computing after Apriori algorithm in cloud computing environment to get higher efficiency of frequent itemsets mining algorithm performance than traditional data mining.
The Design and Implementation of Interrupt System in g-Bios
Authors: Feng Zhi , Liu Zhen Xiang
Published: August 2013

G-bios is a type of Bootloader and its code is open source. Bootloader is one of the important parts of the embedded system for its booting and loading operating systems function. The design and implementation of interrupt in Bootloader and the improvement of the systems execution efficiency is the innovative point of this paper.
Burst-Type Acoustic Emission Source Localization Based on Multi-Scale and Multi-Sensors
Authors: Zhang Xiao Tao , Tang Li Wei , Wang Ping , Han Xing Xing , Deng Shi Jie
Published: August 2013

For the burst-type acoustic emission signal, time delay estimation of two sensors calculated by signal cross-correlation is not accurate, and it leads the source localization results is not also accurate. A new method is proposed to improve accuracy of source localization results based on multi-scale analysis and multi-sensors. Acoustic emission signal multi-scale analysis using wavelet transform, then the most accurate time delay is selected in sub-band of signal multi-scale analysis by multi-sensors time delay vector close rule. Finally, the simulation acoustic emission source localization experiment has high accuracy.
Temperature Sensor Allocation Strategy and Full Thermal Reconstruction for Microprocessors
Authors: Li Xin , Rong Meng Tian
Published: August 2013

On-chip thermal sensors are employed by dynamic thermal management techniques to measure runtime thermal behavior of microprocessors so as to prevent the on-set of high temperatures. The allocation and the placement of thermal sensors directly impact the effectiveness of the dynamic thermal management mechanisms. In this paper, we propose systematic and effective strategies for determining the optimal locations for temperature sensors based on thermal gradient analysis to provide the trade-off between hot spot estimation and full thermal reconstruction. Experimental results indicate the superiority of our techniques and confirm that our proposed methods are able to create a sensor distribution for a given microprocessor architecture.
Ratio Study of Series Reactor in Parallel Capacitor Circuit
Authors: Tian Chun Guang , Cai Li Xia , Chang Xue Fei , Bi Zheng Jun
Published: August 2013

The principle of restraining the harmonic using the series reactors was introduced and the relationships between circuit condition and the harmonic current were analyzed in this paper.The considered problems in selecting the reactance rate were discussed. On the base of power quality test results at a certain region in China, a selection method of reactance rate of series reactors, rated voltage and capacity of a capacitor were put forward to realize the compensation for reactive power.
The Development Approach of Electronic Information System Based on SOA
Authors: Wang Hua , Cheng Lin
Published: August 2013

Based upon the synopsis of SOA, this paper describes the SOA framework and related content, and then puts forward the SOA process and phase task of electronic information system. Meanwhile, further works are presented. This will benefit the development of electronic information system.
Day-Ahead Optimum Dispatching Model of Wind-Thermal Power System and its Application
Authors: Wei Zhong Kang , Xu Jian Fei , Liang Ji , Li Yuan Zhuo , Zhang Ge
Published: August 2013

Based on security constraint economic dispatch module, and with wind power prior utilization as target, the day-ahead optimum dispatching model of wind-thermal power is constructed to improve the acceptance ability of intermittent new energy generation. The practical application in Jibei power grid indicates that this model can meet the compiling requirements of day-ahead generation schedule, realizes the prior acceptance of wind power and contributes to the energy saving and emissions reduction in power field under the power grid security constraint.
Research on Harmonic Elimination of Electric Vehicle Charging Station Based on APF
Authors: Liu Guan Qi , Hu Ting , Wu Li Na
Published: August 2013

Electric vehicle is an important part of the smart grid. However, when electric vehicle charging station which is with massive application of the power electronic equipments connects to the grid, it will make a lot of power quality problems, especially the harmonic problems. This paper analyses the mechanism of harmonic generation caused by high-frequency charger, proposes to use APF to deal with power quality problems , and verifies the viability and effectiveness.
A New Recognition Method of Radar Emitter Signal
Authors: Ye Fei , Wang Xin , Gao Xing Rong , Luo Jun
Published: August 2013

According to the problem that the existing radar signal recognition method cannot effectively identify the radar signal, a new recognition method based on kernel density estimation is proposed. First using kernel density estimation gets the probability density curve of radar emitter signal parameters, then storing the cures into database as the characteristics, in the end a radar emitter signal recognition algorithm based on template matching is proposed.
Acquisition of the Palm Print and Research on Pretreating Simulation
Authors: Cai Tian Fang
Published: August 2013

The paper does the pretreating operation of palm print, the process of which includes lowpass filtering, histogram equalization, binarization processing, edge extraction, corner detection, rotating location and extraction of subgraph ROI. In images done with pretreating, translation and rotation phenomenon of noise level has almost been removed, which benefits the characteristic extraction and identification of palm print. And we finally demonstrate by experiments.
On the Performance of Multi-Relay Cooperation over Correlated Nakagami-m Fading
Authors: Cui Hai Xia , Yu Yong Cong
Published: August 2013

The analytical expression in terms of symbol error rate (SER) for distributed multi-relay cooperative networks is derived over correlated Nakagami-m fading environments. Specifically, the proposed expression can be used to evaluate the impact of channel correlation on spectral access schemes through the statistical characteristic of complex channels. Furthermore, the overall performance analyses are illustrated through representative numerical results.
Design of the High Speed Data Acquisition and Processing System Based on DSP
Authors: Zhao Peng , Li Zeng Sheng
Published: August 2013

Data acquisition is the basic means of access to information; it is an important pillar of the information science, a comprehensive application technology associated with the sensor, signal measuring and processing, computer technology as the foundation. USB has the characteristics of easy to use, high speed and supporting to cut in or pull out on-line, it becomes a trend in data acquisition technology. To introduce the hardware and software design, selecting DSP for microprocessor control chip and Philip Corporations ISP1582 for USB receiver/transfer control chip. In this paper, the segmented band-pass filtering is adopted to filter the collected data, the problems in system debugging are analyzed and summarized, and the measures for improvement are finally put forward. Thus, combining USB and DSP is an effective solution to data acquisition with high speed as well as processing and transmitting.
On the Quality of Data Communication Lines of an Important Role
Authors: Li Lei
Published: August 2013

Pick this communication cable from the influence to the quality of several important factors, and combining the ongoing communication cable and PeiXianJia change jobs, qualitative analysis the circuitry of the influence of quality data communication, put forward in the line maintenance avoid these influence the method; And according to the line fault there, put forward the corresponding solution for the actual work has a guiding significance.
A Real-Time Sound Data Collection and Transmitting System Based on LabVIEW
Authors: Wang Pei , Wang Jing
Published: August 2013

The current sound data collecting system can`t meet the demand of the engineers on special occasions to master the process of the signal acquisition from remote timely. In order to solve this problem, this article designed a real-time monitoring system which can collect the signal by a sound card and implement the analysis of the sound signal`s power spectrum and phase spectrum, storage and playback. In addition, it can use the TCP/IP protocol to transmit the signal to remote engineers timely. Practice shows us that the system has the characters of simple structure, steady data transition, low cost and friendly interaction.
A New Patterns Recognition Method Based on Fuzzy Rough Sets
Authors: Tian Guang , Shao Xin Jie , Liu Jin Hua , Qi Yun Guang
Published: August 2013

Gearbox is the key component of self-propelled gun, and it is prone to failure. So, its performance will directly affect the fight maneuverability of self-propelled gun. To detect the running state of gearbox and find incipient fault in time, has very important significance.This paper put forward a new patterns recognition method based on fuzzy rough sets, which can reduce the information missing during the discretization process of fuzzy rough, and overcome the disadvantage of artificially determining class number through F test, applied the fuzzy decision table to attributes reduction, got the clear and concise pattern rules. The gearbox fault patterns recognition result showed that the propsed method can greatly enhance the patterns recognition accuracy, and it is a good method in patterns recognition application.
Clustering Research on Fractal Parameter of GIS PD UHF Signals
Authors: Yun Yu Xin
Published: August 2013

The distribution of fractal parameters (box dimension and lacunarity) vary with noise level of GIS PD UHF signal is the main obstacle to the use of fractal theory in GIS PD pattern recognition. According to the characteristic of fractal parameters, box dimension and wavelet method have been used in control the noise level and gather the fractal parameters of each kind of GIS PD UHF signals. Simulations show that, the fuzzy control parameters filtering algorithm based on the box dimension will lead to the dispersive of lacunarity and the distribution of fractal parameters changes as the noise level of GIS PD UHF signal changes. However, the wavelet method has a good performance in gathering those two fractal parameters of different GIS PD UHF signals. And its a promising approach to expand the applicability of classifiers used in GIS PD pattern recognition.
An Anchor Selection Algorithm in Wireless Sensor Network
Authors: Chang Qiang , Hou Hong Tao , Zeng Xiang Hui , Li Qun , Wang Wei Ping
Published: August 2013

Wireless sensor networks consist of two kinds of nodes: the anchor and the Agent. The anchor is equipped with special hardware to obtain precise location information and employed to derive the locations of Agents. Due to the resource-limited nature of single sensors, actively participating nodes should be kept to a proper number. Based on an investigation on the trade-off between the localization accuracy and the computation complexity of sensor nodes, we propose a distributed algorithm to select subsets of anchor nodes for localization and analyze this algorithm regarding the energy consumption of every node.
Natural Human-Computer Interaction Based on Finger Tracking
Authors: Xu Rong Bin , Xie Ying , Guo Xing , Zhu Er Zhou , Wu Jian Guo
Published: August 2013

Large touch screen systems (LTSS) have been widely used in scientific, industrial, educational and artistic domains. They are easy and natural for people to use. We present a novel touch screen interaction with finger pointing and operating. To track the high freedom of fingertips with quick changes and self-occlusion by using ordinary cameras is a complex and challenging task. We propose a series of computer vision (CV) algorithms to fix initial position, coordinates mapping, fingertip detection, fingertip tracking, fingertip pose recognition, and generate control instructions. Evaluation shows our system is simply implemented and has a great effect.
Study on Implementation Solutions and Function Specifications of Intelligent Optical Distribution Network
Authors: Wang Jian Quan , Fu Hai Jing , Guo Lin , Shao Yan
Published: August 2013

In this paper, we introduced the basic concept and framework of Intelligent ODN. Based on our study of technology implementations, we summarized implementation solutions of Intelligent ODN. And based on real network operation experience, we firstly provide a suit of function specifications of Intelligent ODN networks. Provided implementation solutions and function specifications can be used as a guide for the realization of Intelligent ODN.
Design and Implementation of Cell Search Time Synchronization in LTE System Based on FPGA
Authors: Zhang De Min , Zhu Xiang , Qiu Zhi Hui , Duan Chao Bo
Published: August 2013

LTE is accepted worldwide as the Long Term Evolution Perspective for todays 3G and 4G networks. Cell search time synchronization is an important physical layer procedure by which a user equipment (UE) acquires synchronization with a cell and detects the physical layer cell ID of that cell. Timing synchronization is consisted of the symbol timing synchronization and frame synchronization. This paper supplies the introduction of synchronization signals, presents the detection method, and analyzes the design based on FPGA platform and finally simulated on the Modelsim 6.5 and implemented in Xilinx Virtex-6 kit.
A New Evaluation Method of Jamming Effect on ISAR
Authors: Rui Cui , Pan Ji Fei , Chen Li Min Gi , Zhu Jing
Published: August 2013

The Inverse Synthetic Aperture Radar (ISAR) is a high resolution imaging radar. Some methods used to evaluate the jamming effect of general radar are unsuitable to ISAR. A new evaluation method of jamming effect on ISAR is presented in the paper through comparing the change of moment character and area character, The amplitude modulation (AM) noise jamming and frequency modulation (FM) noise jamming are carried out in the paper, the results of simulation prove the method is corrective and effective.
Piezoresistive and Mechanics Properties of Nanopolycrystalline Silicon Film Materials
Authors: Lu Xue Bin , Cui Lin Hai , Huang Hai
Published: August 2013

The polycrystalline silicon films with same doping concentration and different thickness were prepared by low pressure chemical vapor deposition. The gauge factors of the films samples were tested, the results show that the piezoresistive properties of nanopolycrystalline silicon film (NPSF) exceed that of common polycrystalline silicon film (CPSF). To apply the NPSF to MEMS piezoresistive device effectively, the Youngs modulus of the NPSF were tested by in-situ nanomechanical test system, the results show that the Youngs modulus of the NPSF is about between 155GPa and 158GPa. It is very useful to investigate the piezoresistive and mechanics properties of NPSF, the results show that NPSF is a suitable material in MEMS piezoresistive device.
Predict the Strong Binding Ability Polypeptide of Human α-Enolase with the HLA-DRB1 * 0401
Authors: Jie Rui , Zhou Quan , Wang Jin Song , Liang Yun He , Liao Ting Ting , Yu Jin Hui , Liu De Li , Geng Hui
Published: August 2013

Human α-enolase (ENO1), an evolutionarily conserved and multifunctional protein, is a target self-antigen of rheumatoid arthritis (RA). Rheumatoid arthritis (RA) is genetically associated with MHC class II molecules, such as DRB1*0101, DRB1*0401 and DRB1*0404 allele. Among these DRB1 alleles, DRB1*0401 show the most correlation with RA. However, strong binding ability polypeptide of ENO1 with HLA-DRB1*0401 is still largely unknown. In this study, we used NetMHCII prediction method to predict the strong binding ability polypeptide with HLA-DRB1*0401. Among the 434 predicted fragment peptide, ENO1129-141: PLYRHIADLAGNS showed strong binding with HLA-DR4 and peptide ENO1281-293 KSFIKDYPVVSIE is the second candidate peptide. Based on these result, we choosed EON1129-141 and EON1281-293 polypeptides to do the molecular modeling, and used the molecular dynamics to optimize the three-dimensional structural model. The molecular dynamics results showed that ENO1129-141: PLYRHIADLAGNS and ENO1281-293: KSFIKDYPVVSIE have strong binding ability with HLA-DR4* 0401. In the shared epitope, both ENO1129-141and ENO1281-293 have the very near distance 3.15Å and 3.10Å with K71 of the β1 chain. The main-chain conformations of ENO1129-141 sit more deeply with β1 chain. All together, results indicated that ENO1129-141 and ENO1281-293 bind strong with HLA-DR4 and would be potential T cell epitopes of human α-enolase that induced RA.
Sliding Adaptive Control of a Chinese Medicine Sugar Precipitation Process
Authors: Duan Hong Jun , Zhao Li
Published: August 2013

A dynamic model dedicated to Chinese medicine sugar precipitation was designed, without consideration of crystal size distribution. A batch crystallizer was extended for studying the crystallization kinetics. Sliding mode adaptive control algorithm was proposed for the uncertain nonlinear systems. The scheme is robust for the uncertainties and overcomes the chattering in the input of sliding mode control in presence of disturbances and modeling error. It was applied to the precipitation control of sucrose-glucose mixed solution, and the validity of the proposed algorithm was supported by simulation results.
Guarantee Industries Credit Evaluation Research of Risk Management Perspective
Authors: Fang Yi , Ren Hui Jun , Li Long Xing
Published: August 2013

In order to evaluate the credit status of the insured enterprise, from the perspective of guarantee companys risk management, according the evaluation indexes of the evaluation agencies both at home and abroad, this research constructs the credit guarantee evaluation index institutions used by themselves, and determines the weights of evaluation indexes by using FAHP. At last, this research designs the enterprise credit evaluation model based on the BP neural network and verifies the feasibility of the model through the demonstration analysis.
The Research on Information Management System Construction of Trust Company
Authors: Meng Bin , Han Dan , Zhu Jia
Published: August 2013

On the whole, Information management of the trust industry does not keep pace with the development of trust business. This paper proposes an exploitation model of information management system for trust company and expounds the organizational structure of the system in detail. Furthermore, this paper discusses that information management can promote the management upgrade of trust company.
CMAC-Based Backstepping Sliding Mode Control of PMSM
Authors: Li Hong Ru , Jiang Zhi Bin
Published: August 2013

The paper describes a hybrid approach to the problem of controlling permanent magnet synchronous motor (PMSM) with unmodelled dynamics and unknown external disturbances. First, the backstepping sliding mode (BS) controller based on the equation of PMSM is elaborated. Its effect is to achieve a stable control. Then the cerebellar model arithmetic computer (CMAC) controller is implemented to compensate uncertainties. Furthermore, the nonlinear disturbance observer (DO) is applied to estimate the time-varying lumped disturbance D(t) for improving the precision of the tracking control. The proposed CMAC-based method can acquire high control performance in the presence of disturbance and guarantee the stability of closed-loop systems on the basis of the Lyapunov theorem. The effectiveness and robustness are demonstrated through simulation results obtained for the tracking control of PMSM.
A Semantic-Driven Framework for Enterprise Integration
Authors: Jin Gui Yang , Lv Fu Zai , Xiang Zhan Qin
Published: August 2013

To meet enterprise-class application, the paper constructs a general distributed value-added logistics services platform for real-time tracking and querying the goods during storage and shipping process. Based on RFID, GPS and GSM/GPRS to improve storage and transport efficiency, the whole project consists of vehicle-mounted terminals, control center, and warehouse management system. Focused on the onboard system, architecture design and software implementation of terminals are given. The result shows that the system can provide some references for addressing the transparency of the third party logistics and efficient collaboration.
Mean-Variance Model for Optimal Multinational Project Adjustment and Selection
Authors: Su Xiao Li , Huang Xiao Xia
Published: August 2013

This paper discusses the multinational project adjustment and selection problem in which project parameters are regarded as random variables. In the paper, adjustment of foreign existing projects and selection of the new foreign projects are considered simultaneously. Typical cash flows and value sources of foreign projects are introduced and a mean-variance optimal multinational adjustment and selection model is proposed. As an illustration, a numerical example is also presented.
A New Evolved Acceleration Reentry Guidance for Reusable Launch Vehicles
Authors: Wang Shun Hong , Pan Le Fei , Liu Xin Xue , Zhang Bei
Published: August 2013

in order to solve the poor adaptability problem with the traditional reentry guidance, A new evolved Acceleration Guidance Logic for Entry (EAGLE) is studied for the Reusable Launch Vehicle (RLV) here. According to the guidance, the reference drag acceleration profile is updated every period based on the predictive range-to-go. In the lateral profile, basing on the generated reference drag profile, two reversal times are got successively through numerical predictive method. The technique of feedback linearization is used to track the reference drag acceleration profile. The algorithms of updating the reference drag profile and searching reversal times are both the method of golden-section search, so the EAGLE method can be performed onboard. The simulation results based on different reentry conditions show that the approach has good robustness and real-time ability.
Fuzzy Control Based on the Monitoring of Residual Oxygen of Furnace Flue Gas in Industry
Authors: Sun Jie , Feng Min , Zhao Chun Chen
Published: August 2013

For the feature of dynamic response slow and static PID control error of the furnace remaining oxygen, we introduce fuzzy PID control method to improve the heating furnace combustion air-fuel ratio and reduce energy consumption and enhance dynamic performance.
Design and Implementation of Logistics Intelligent Management and Control Systems for Steel Enterprises
Authors: Guo Guan Qi , Su Xiang Jun , Liu Xiang
Published: August 2013

Based on the logistics management and control system of the cold-rolled finished products, this system has realized many features, including three-dimensional positioning of the crane, a variety of real-time data collected through the RFID systems and magnet detection system and wireless data acquisition in the coil storage or out of the library or inverted treasury job process transmitted to the server, coil warehouse operations process optimization and control, forming automatically a plan and target location to crane, Prompting crane operations, real-time monitoring of crane operating, recording crane operating results, tracking and positioning of the treasury coil information, updating treasury stock coil position in real time, inquiry treasury stock and automatic generation of warehouse operations statements by teams or date or month or year, communication with ERP or MES etc. Through seamless connectivity between the crane operating system and warehouse management systems and enterprise information systems, the system can achieve precise synchronization of logistics and information flow.
Selective SVM Ensemble Base on Clustering Analysis Apply for Analog Circuit Fault Diagnosis with Small Samples
Authors: Song Ji Zhong , Guo Chao You , Liu Hai Song
Published: August 2013

This paper presents a selective SVM ensemble based on clustering analysis to localize the faults of analogue circuits with small samples. The method overcomes disadvantages of single SVM and greatly improves the generation ability for problems with small samples. In the end of paper, simulation experiments on a CTSV filter circuit are carried out. Experimental results demonstrate that selective SVM ensemble based on clustering algorithm is a more effective method to fault diagnosis with small samples than single SVM.