bluuebunny/crossref_metadata_2025 huggingface dataset:
Implementation of Intelligent Video Analysis System and it’s Algorithm Optimization Based on DSP
Authors: Wang Hui , Liang Cheng Wu , Li Ying
Published: December 2011

This paper aims to implement an distributed intelligent video analysis system based on TI multimedia Digital Signal Processor (DSP) TMS320DM642, at the same time, the algorithm optimization is also described. The intelligent video analysis system we proposed provides users with fast and precise video analysis services. The video image is transmitted to the image processing board by analog channels and IP cameras, then the DSP processing the video flow. In this system, target detection, segmentation, feature extraction, alarm and automatic tracking can be implemented. In this system, several optimization techniques are also used in algorithms, including the algorithm level optimization (ALO), the program level optimization (PLO) and the instruction level optimization (ILO). Experimental results show the exellent result in reducing the CPU load.
Study of Range Migration Compensation Method Based on Linear Regression
Authors: Mao Wu Xing , Zhang Yuan Fa , Zhang Zhao
Published: December 2011

For Long-Term energy integration detection, we must conduct echo envelope compensation to correct all targets echo to the same range bin, through MTD or joint Time-Frequency transform complete energy accumulation. Keystone transform is an effective method for range migration compensation, but this algorithm is large amount of calculation against Real-Time processing. We present a method for range migration compensation based on analysis of linear regression, it makes use of the curve fitting for the processing of the migration compensation. We compare the two methods of computational efficiency, linear regression algorithm has better Real-Time process performance, and the effectiveness is conformed by the simulation results.
Data Mining in Conditions Analysis at a Coal-Fired Utility Boiler
Authors: Liu Bao Ling
Published: December 2011

The Supervisory Information System (SIS) [1]is widely installed in power plant of more than 300MW. Its massive data contains valuable information and resources which requires further excavation. In this paper a way of working conditions analysis based on cluster-based data mining algorithm is explored and experimented to SIS. The results illustrate that the way can identify and analyze the working conditions very well.
Analyses of TID Induced Back Channel Threshold Voltage Shift of NMOS/SOI
Authors: He Wei , Zhang Zheng Xuan
Published: December 2011

A new approach to model the total ionizing dose (TID) induced back channel threshold voltage shift in SOI NMOS transistors was presented. Using a 2D finite element simulation, the trapped charge density in the buried oxide of SOI NMOS resulting from irradiating was analyzed. The model derives from the Radiation-Induced parasitic MOSFET created at the back of the buried oxide . A comparison of the theoretical and experimental results have been obtained for different radiation doses.The agreement between experimental and simulated curves is excellent.
E-Learning Platform-Training IT Major Students to Adjust to Positions in Enterprises
Authors: Liu Zhe Yu
Published: December 2011

In order to train IT major students to adjust to positions in enterprises, we designed an E-Learning platform. This paper introduces IT graduates top skills and the occupational capabilities of IT graduates which impact enterprises’ choice. In the Design part a flow chart was made to explain how this E-Learning platform was designed and used to train students. Virtual Manager Model is an intelligence system, in which we can experience the real working environment. The Implementation part provides details about the techniques adopted to implement the system, such as XML, GUI and database.
Research on MS Setover Location Method with LOS on Multilateration
Authors: Gong Feng Xun , Ma Yan Qiu , Dai Li Hua
Published: December 2011

Location accuracy for low-altitude targets is not well in Short-Baseline system. A program of main station off-center of eight-station arrangement is proposed. Firstly analyses factors influencing the location accuracy for line-of-sight environments. Then researches the relationship between main station position and location performance, put forwards a location method of main station off-center of eight-station by increasing the base-station number and layout of the main station off-center which realizes multiple coverage of monitoring area using the redundant measurement information by main station off-center and more base stations provided. Finally gets the number of base station and optimal disposition way for low-altitude targets in the airport through simulating geometric dilution of precision (GDOP) distribution. Simulation figures and dates show that the main station off-center of eight-station arrangement can be achieved over 95% coverage of the airport for low-altitude targets location.
A Neural Network Forecasting Model of Beijing Motor Vehicles Sold Based on Set Pare Analysis
Authors: Zhang Xiao Xi , Zhang Ding Tian
Published: December 2011

By applying neural networks to forecasting Beijing motor vehicles sold, sequencing the principal factors and analyzing the development trend using connection number and partial connection number of the set pair analysis (SPA), we set up the forecasting model of Beijing motor vehicles sold. The instance analysis shows that it is a scientific and suitable system analyzing method of high forecasting accuracy.
The Improved Particle Filtering Algorithms for Tracking the Signals
Authors: Zhao Xiu Ying , Wang Hong Yu , Tong Shou Yu , Fu De You
Published: December 2011

The problem of tracking curves in dense visual clutter is challenging. Kalman filtering is inadequate because it is based on Gaussian densities which, being unimodal, cannot represent simultaneous alternative hypotheses. The PF(Particle Filtering) algorithm uses “sequential importance sampling”, previously applied to the posterior of static signals, in which the probability distribution of possible interpretations is represented by a randomly generated set. PF uses learned “sequential Monte Carlo” models, together with practical observations, to propagate and update the random set over time. The result is highly robust tracking of agile motion. Not withstanding the use of stochastic methods, the algorithm runs in near Real-Time.
The Application of Face Recognition Based on OpenCV
Authors: Li Su
Published: December 2011

Face recognition is a significant method, which is one of the biometric recognition. A face recognition system consists of two key technologies, namely, face detection and face recognition. In order to achieve two key technologies, Haar-Like feature and AdsBoost algorithm can be used to achieve face detection module. And PCA algorithm can be used to achieve face recognition module. For achieve application more quickly and efficiently, the core of the system develops with OpenCV. And the main use is its image processing, mathematical operations, and machine learning functions.
A Novel Demodulation Method for Fiber Bragg Grating Sensor System Based on the LabView Software
Authors: Su Jun , Song Wei Qing , Chen Hong Lin , Yang Xiu Feng , Tong Zheng Rong , Cao Ye
Published: December 2011

The theory of fiber Bragg grating demodulation system based on unbalanced Mach-Zehnder (M-Z) interferometer is introduced. A novel design for demodulation of fiber Bragg grating sensor system based on the LabView Software is proposed and demonstrated. The system is obtained by making use of piezoelectric ceramic (PZT) technology achieving phase carrier modulation. Carrier signal is collected by data acquisition card(DAQ), and the phase modulation of signal is detected by discrete fourier transform(DFT). It realizes real-time demodulation for multiplexed sensing system.
The Spatial Interpolation Method Research of Vegetation Characteristics Model Establishment Based on DTM - A Case Study of Chongzhou Forest Farm
Authors: Chen Dong Li , Huang Lei
Published: December 2011

The Vegetation Characteristics Model is based on the principle of DTM. The property values is the data of forest coverage of every small spot of forestry, By spatial interpolation, we can access continuous, accurate characteristic values of the data model which covers the entire forest farm forestry. This article describes three interpolation methods in detail. They are used to build Vegetation Characteristics Model, are compared each other. we can get the final conclusion: Inverse distance weighting method produces samples of the surface does not exceed the maximum and minimum data; if less sample points, using the Kriging interpolation method, we need to add some sample points in those changing areas; Spline, the main problem is when the area is lack of data, then there will be “steep slopes”, it is often referred to as "overshoot" ,this model does not work effectively. The Vegetation Characteristics Model can simulate the surface of the real situation in the forest region. This model can support spatial data for Forestry production, management and spatial analysis.
The Research of Network-Based Remote Monitoring Systems in the Scattered Site
Authors: Liu Wei
Published: December 2011

With the exaltation of the function and the performance of the PLC technique, the application of the industry control network become more and more universal. Particularly In the application whose geography location is scattered and the stand is numerous, it can raise the Networked level completely by a control system renovation. This text mainly introduced PLC network technique which uses PLC as core controller, and makes use of existing telephone network and modem of business as communication line. It enables us to achieve active and passive communication between the master computer and the PLC slave. It focused on solving the call between the PLC and the modem. Finally, it realizeed fully automated monitoring of heat exchanger and water pump station.
On Design of Ontology Management Systems
Authors: Yu Juan , Dang Yan Zhong , Wang Ming Zheng
Published: December 2011

An ontology management system (OMS) is a software system which manages ontologies through their lifecycle. It simplifies ontologies building and applications by providing a mechanism for querying ontologies and an easy-to-use programming interface to ontologies and instances. OMSs are powerful tools to create ontologies and extend their applications and scope. This paper explains the basic design principles of an OMS and designs a general framework of OMSs. It devotes to promoting systematically research and development of OMSs.
The Research and Implementation of Coordinates Transformation Algorithm on Three-Dimensional City Map
Authors: Liu Hua Ying , Chen Chen , Zhang Fang Zhou , Gong Miao , Wang Xu Yan
Published: December 2011

There are several transformation methods between different coordinate system. This article adopts affine transformation and least square principle, deduces from conversion between geographic coordinates system and the pixel coordinate system theoretically, and conducts a better control aiming at the error. Finally, an example was demonstrated in this article to prove the rationality and practical value of this algorithm.
Cultural Tourism Implementation Network: From Aclassic British Seaside Experience
Authors: Rao Pin Yang
Published: December 2011

Strategic policy has to be implemented within complex operating environments where organisations have to perform within an inter-dependent production process in a dynamic mix of competition and cooperation. This study was designed in the typical case of the British seaside to further the understanding of control and communication mechanisms and collaboration in policy implementation networks and focus upon problems of structural fragmentation in these complex policy environments.
Improving the Small File Synchronous Write Performance for Parallel Filesystem
Authors: Huang Jian , Lu Jun
Published: December 2011

In parallel filesystem, data for a single file is striped across multiple storage nodes to provide high performance. But the synchronous write performance of the small file is always poor because it is low efficiency to strip the data of small file to multiple storage nodes. So, many parallel filesystem use the uniform distribution method to save whole the small file to on storage node. This storage method of small file leads to the performance bottle of small file synchronous write in parallel file system. This paper presents a high performance automatically cooperative synchronous write mechanism for the small file in parallel filesystem: C-SWM. C-SWM is a set of pure software mechanisms which provide the reliability of synchronous write operations with the performance of asynchronous write operations. The data of asynchronous write in C-SWM are saved on both two cooperative nodes in parallel filesystm before being written to disk. The experiments in this paper prove that the C-SWM can great improve the small file synchronous write performance in parallel filesystem.
Urban Traffic Corridors Determination Based on Characteristics of OD Data-Nanning City as an Example
Authors: Rao Zong Hao , Zhang Ping , Guan Jin Ping
Published: December 2011

Based on the analysis of the characteristics of OD data, method of cluster analysis has been used to extract the morphological characteristic of travel demand. According to the positions of distribution points for passenger, the position and direction of traffic corridor have been finally determined. This method has been used in Nanning city and the result shows that this method could provide reference to urban public transit planning.
Directionally Weakened Diffusion for Optical Flow
Authors: Zhao Jie , Wang Huai Bin , Wang Yuan Quan
Published: December 2011

Optical flow estimation from image sequences is of paramount importance to computer vision applications. Many optical flow algorithms have been proposed for optical flow computation, which minimize a certain energy function involving a data term and a smoothness term. In this paper, we propose a new method to compute optical flow by decomposing the Laplacian operator along the tangential and gradient direction of the image. Experimental results show that the new method could gain more accurate estimation of optical flow around motion discontinuities compared with the classical methods.
Study on Two-Dimensional Packing Problem
Authors: Zhou De Xiang , Wang Xian Rong , Chen Sheng Da
Published: December 2011

IHR was proposed in this paper based on HR algorithm which defines reference rectangle and binding layer. It finds the best solution and the best combination of layers through finding all the binding layers and calculating the solution of each combination of layers. Experimental results show that the IHR algorithm in two-dimensional packing problem is better than the HR algorithm, especially for large quantity of data test problem.
The Application of K-Means in Personal Credit Analysis
Authors: Han Ping , Chai Jia Jia
Published: December 2011

In this paper, we use K-means algorithm to realize dynamic clustering for the information of personal credit card bills, and through the statistical analysis of the results, we can get the analytics of the general trend of consumer behavior completely. In the experiment, we use K-means Algorithm to implement the clustering and analyze the experimental results which show that the results of this clustering can play a certain role in the analysis of the credit habit of discreditable users and high quality ones.
The Impact of Different Viewing Field on Soft-Proofing
Authors: Huang Min , Liu Hao Xue , Wu Zhou , Liu Shuang
Published: December 2011

In order to reveal the impact of different viewing field on observer metamerism and accuracy of soft-proofing between display and printed samples. An EIZO LCD display was placed inside the back of the viewing cabinet concealed by a grey background board. 38 observers were asked to match 9 test colors for each configuration. The spectra-data of printed samples and the matched color patches were measured by Photo- Research PR-650 in this experiment. The CIELAB color difference was used to evaluate the intra-observer and inter-observer variability under different viewing field. The chromaticity ellipses were used to evaluate the observation variability of an observer repeated several times and all observers. Observers had similar observation variability in the two configurations. Both sets of results had smaller observer variability and a closer agreement to the CIE standard colorimetric observer.
The Types of Major Life Setback and its Affecting Process and Effect on Female Talent Growth - Based on the Interview Cases of “Date with Lu Yu”
Authors: Zhu Pan Pan , Luo Jin Lian
Published: December 2011

As a kind of inevitable problems in life, setback has attracted many scholars' attention. Based on 12 guests’ interview cases in “Date with Lu Yu”, a very famous talk show, this paper aims to preliminary discuss the direct influence of major life setbacks on female talent growth. In addition to traditional direct influence factors, we make a two-stage division of affecting process and effect. Finally we put forward conclusions and recommendations.
Simplified Recommendation Algorithm Based on Content and Clustering in E-Commerce
Authors: Xu Bing , Yu Yong Hai
Published: December 2011

With the prosperity of e-commerce, more and more people willing to perform web shopping, the traditional recommendation algorithm makes the quality of system decreased dramatically in this situation. To solve this problem, we present a simplified recommendation algorithm that combines the content and clustering techniques to calculate the customer’s nearest neighbor. Experimental results show the efficiency of our algorithm.
Evaluation Model for Supply Chain Performance Based on BP Neural Network
Authors: Jiang Da Li , Zhao Xin Guang , Peng Liang Tao
Published: December 2011

The performance of a supply chain can be evaluated according to its customer service, the cost condition, cooperation and development capacity. This paper proposed the index system of supply chain and evaluation model based on BP Neural Network. The experiment proved this model can be immune from the inherent subjectivity and uncertainty of traditional methods in choice of weight and Correlation coefficients.
The Algorithm and Implement of Ordering Network Packet Based on Multi-Thread Processor
Authors: Shi Jiang Yi , Liu Yao Hui , Pang Jie , Li Kang
Published: December 2011

This paper proposes a method that is used for increasing the throughout of network processor. This method enables network processor to have a better ability of extensibility, and can benefit to the next generation network processor. It adopts the mailbox technology, the hardware-based label technology, and an algorithm that coordinate with multi-processor and multi-thread based on hardware.
The Finite Element Analysis of Standard Knee Prosthesis
Authors: Dong Li Min , Tian Xi Yan , Gu You Quan , Zhang Chun Qiu
Published: December 2011

The research uses the finite element software ANSYS to analyze the stress of the standard artificial knee joint, particularly the contact stress between the femoral condyle and the ultra-high molecular weight polyethylene (UHMWPE) meniscus. When analyze the stress of the standard artificial knee joint in the case that knee joint unbend (bend 0°) and bend 10°and 20°, the lower surface of the proximal tibia maintains completely constraints and we apply the corresponding constraints and surface load with the actual situation.Finally calculate the stress distribution of the artificial knee joint. The analysis results were compared with the stress of the normal knee joint to further improve the design of the artificial knee joint.
Simplified Three-Dimensional Thermomechanical Applications of Ball Grid Array Package
Authors: Mao Jia , Zhang Wei Hua
Published: December 2011

Three dimensional finite element models were created utilizing APDL (ANSYS Parametric Design Language) for typical multi-chip BGAP (Ball Grid Array Packages) with different sizes to analyze the structure stress and strain when loading steady thermal loads upon them. Subsequently an improved modeling approach including equivalent beam and critical solder ball joint for simplification was studied and introduced. The Darveaux method based on plastic deformation energy accumulation for predicting fatigue life of solder ball joint under thermal cyclic loading was applied to the improved model for calculation, and effects of main design parameters upon fatigue life were studied accordingly. The numerical results reflected the stress distribution and varying traits of the package, compare of results between improved model and detailed model indicates that the simplified modeling method is quite effective and available for different types of analysis. Methods and results of this paper are of certain reference value for the design and optimization for similar kind of packages.
Architecture and Data Vitalization of Smart City
Authors: Yuan Yuan Ming , Qin Xue , Wu Chan Le , Tang Tao Zhou
Published: December 2011

With pervasive perception and deep correlation, smart city provides wisdom city services, which accelerates the progress of digital city and optimization of city managements. Because of the ubiquitous perception and pervasive intelligent services, the key basis is the deep data correlating services on demand, which involves an amount of domains, departments, themes, spatial and temporal dimensions. For the needs of smart city, a well-designed overall architecture is proposed with detailed explanation. Furthermore, a plain data vitalization method and midware with corresponding diagram are represented, as well as an application sample. The proposed architecture and approaches is the foundation for following researches and useful reference for the study of smart city.
The Spectral Clustering Based on the Most Similar Relation Diagram
Authors: Xu Wei Hong , Zhu Min , Jiang Ya Ruo , Bai Yu Shan , Yu Yan
Published: December 2011

In this paper we present a spectral clustering method based on the MSRD (Most Similar Relation Diagram). The feature of this method is that both the constructing of the adjacency matrix and the clustering are achieved by spectral algorithm. Experiment on an artificial datasets demonstrate that our method can generate balanced partition and detect the manifold clusters no matter the unnormalized or normalized Laplassian is used and can generate partitions with different features if different MSRD is used. Experiments on some real datasets proved that our method is valid and effective.
The Construction and Application of Listed Companies' Profit Quality Models Based on the BP Neural Network
Authors: Lin Zhi Hong , Yang Shuo
Published: December 2011

During to the asymmetric information on the stock market, and financial fraud incident with increasing, earnings quality becomes the focus of people from all walks of life. Both on all investors, or other stakeholders, how to reasonable evaluate listed companies’ earnings quality appears very important. This article through the BP neural network model to analysis the enterprise's profit quality, the model simulation results are accurate, thus can predict enterprise's profit quality, meeting the demand of information of enterprise stakeholder.
Design and Security Analysis of Mobile Identity Authentication Protocol
Authors: Wang Qin , Zhi Fen He , Ao Jing Hai
Published: December 2011

One Time Password (OTP) authentication mechanism has higher security by one time padding. It is implemented simply, cost less and needed no third-party notarization, and so it is more suitable for limited environment in mobile commerce. But OTP has some securities, which it couldn’t resist decimal attack and realize bidirectional identity authentication. Combined with Elliptic curve cryptosystem (ECC), it is presented a mobile identity authentication protocol (MIAP). Through formalized analysis method based on strand space, it is validated to have higher security.
A Research of Network Congestion Control Based on Fuzzy PID Arithmetic
Authors: Wei Hai Mei
Published: December 2011

This paper first introduces definition and cause for congestion control as well as TCP/IP congestion control mechanism, focusing on introducing active queue management arithmetic in IP congestion control mechanism, and points out its important function in congestion control. The method of active queue management arithmetic which solves full queue of routers is dropping arrived data packets before the queue is full so that end-note is able to respond before the queue overflows, avoiding the actual occurrence of congestion. RED arithmetic is a famous AQM arithmetic and congestion control based on control theory has become a new research focus.
Study of Diffusion Characteristics of Pollutant in Flowing Water
Authors: Wang Mei Jing , Luo Lin
Published: December 2011

By considering the impact of the walls, water surface and river bed in straight and rectangular cross-section channel and analyzing concentration distribution of instantaneous point source, diffusion characteristics of pollutant were obtained that: (1) the vertical front position of pollutant, zf, is proportional to 0.5 power of t; (2) the velocity of vertical front position, Vf, is inverse-proportion to the vertical front position, zf; (3) the vertical front position, zf, is proportional to the transverse front position, yf.
Classification Criterion Based Neighborhood Optimization Method on Laplacian Eigenmaps
Authors: Jiang Quan Sheng , Li Su Ping
Published: December 2011

Manifold learning algorithms are nonlinear dimensionality reduction algorithms rising in recent years. Laplacian Eigenmaps is a typical manifold learning algorithms. Aim to the difficulty of selecting neighborhood parameter on the algorithm, a neighborhood parameter optimization method based on classification criterion is proposed in the paper. From the point of the classification performance, the classification criterion function is constructed to reflect the distance of within-class and between-class. The optimization of the neighborhood is obtained according to the minimum of the criterion function. The experimental results on IRIS validate the optimization of the neighborhood and the effectiveness of feature classification.
Research on Component-Based Software Reuse Technology
Authors: Jiang Long Qiang , Wang Hai Tao , Ye Yi
Published: December 2011

The software reuse technology based on components is a solution which can avoid reusable work for software development. The component is among the core technologies of component-based software development, is has become one of the focus in the field of software reuse. This paper presents fundamental concepts and key techniques of software reuse. The emphasis of the paper presents the model of component.
On Upper Bound of the Quality of Service Performance in the Gateway of Wireless Mesh Networks
Authors: Qi Hua Mei , Wu Min , Chen Zhi Gang
Published: December 2011

Motivated by the advantage of the gateway that acts as the performance bottleneck in wireless mesh networks (WMNs) while shaping the traffic with the greedy fractal shaper, a novel approach is proposed to derive the upper stochastic/statistical bound of the backlog, delay and delay jitter of the WMNs gateway quality of service (QoS) statistic bound model. By analyzing and evaluating the QoS performance of the present model based on network calculus theory with fair bandwidth distributed strategy, a number of useful curves are achieved. Simulation shows the performance of the present model.
An Empirical Analysis on Industrial Upgrading of Xiqiao Textile Cluster
Authors: Li Min
Published: December 2011

This paper constructed a competitiveness evaluation model and applied this model to the practice of Xiqiao textile cluster. The research respectively carried out competitiveness measurement, evaluation and comparison Xiqiao textile clusters competitiveness on prior and later stage of innovation upgrading. The conclusion revealed the impact of innovation upgrading on competitive advantge of Xiqiao textile cluster.
The Controller on RBF Fuzzy Neural Network of the Laying Pipe Manipulator
Authors: Wang Dan
Published: December 2011

Aim at the pipe laying manipulator’s dynamic properties of multi-input, multi-output, unstable, nonlinear, time-varying and coupling, a new RBF fuzzy neural network based on T-S fuzzy inference model was proposed. The network had simple structure and high training speed, and could adjust the fuzzy rules, and optimized them. The controller of RBF fuzzy neural network could realize the high precision tracking control of the laying pipe manipulator.
Quality Control System for Short-Runs Based on Machining Error Propagation Network
Authors: Zhou Xue Liang , Jiang Ping Yu , Zheng Mei
Published: December 2011

To solve problems concerning the process quality control of short-runs, a framework of quality control system for short-runs is put forward, and corresponding functional modules and working mechanism are also studied. The system is established on the foundation of machining error propagation network (MEPN), and quality control and improvement can be implemented by analyzing the dynamic characteristics of MEPN. In addition, some key enabling technologies, including MEPN modeling and analysis, error source diagnosis based on fuzzy inference as well as error coordination and optimization, were discussed in detail.
A Survey: Clustering Ensemble Selection
Authors: Liu Li Min , Fan Xiao Ping
Published: December 2011

Traditional clustering ensemble combines all of the available clustering partitions to get the final clustering result. But in supervised classification area,it has been known that selective classifier ensembles can always achieve better solutions.Following the selective classifier ensembles,the question of clustering ensemble is defined as clustering ensemble selection.The paper introduces the concept of clustering ensemble selection and gives the survey of clustering ensemble selection algorithms.
Spatial Filtering Collimator for Optimized Laser Indicator and Laser Range Finder
Authors: Chen June Wen , Duan Jing Bin , Wu Shih Jui , Chen Yi Shan , Chiu Li An , Kuang Ya Ping
Published: December 2011

A novel spatial filtering collimator is developed for the laser indication application. The mass produced, inexpensive, red and blue semiconductor laser modulars can easily be optimized as fine line laser indicator source. We have theoretically investigated the results, simulated the designs, and measure the laser beam spots and the laser fine lines. The spatial filtering collimator is designed and optimized for practical used and the results are very satisfactory.
Study on Wireless Sensor Network Based on Laser Rangefinder
Authors: Wei Li , Zhao Chen Guang
Published: December 2011

A system of wireless sensor network(WSN) based on laser rangefinder is studied, which adopts low power consumption ZigBee chip and SimpliciTI network protocol. 8 laser rangefinders are used to collecy the distance of the test points. The collection data is sent to upper computer by wireless data transmission module. It is rapid and real time to monitor the test point. The system can be installed in complex test environment to perform the monitor of all kinds of architecture structure. It dispenses with long time power supply and the user interface is friendly and has abundance function.
Throughput Analysis of Broadband Access in High Speed Railway
Authors: Liu Jun Biao , Jin Xin Yu , Dong Fang , Zeng Xiang Bing
Published: December 2011

As the need for broadband access in high speed railway, it becomes necessary to understand the impact of mobility on traditional parameters of WLAN standards always working under stationary environment, such as throughput. In this paper, we provide the analysis of the impact of high speed in IEEE 802.11b PHY layer, and then propose the derivation of saturation throughput by applying 802.11b MAC schemes in TGC system. Our results show that WLAN standards have promising potential to be used in high speed environment.
The Optimization Design of a Propulsion Module for a Mini-ROV
Authors: Cui Ze , Han Zeng Jun , Pan Hong Wei , Wang Yao Hua , Hua Xiao Qing
Published: December 2011

For a mini remotely operated vehicle (mini-ROV), the performance of the propulsion system has a direct impact on its underwater running and operation. A proper designed propulsion module will improve the maneuverability and controllablity of the mini ROV. In this paper, we propose a kind of propulsion modular series taking lower drag, higher efficiency and lighter weight as design objectives. Simulation and experiment results are also presented to illustrate performance of a specific designed thruster.
An ESD Protected Wideband CMOS Low Noise Amplifier Employing Active Feedback Technique
Authors: Bao Kuan , Fan Xiang Ning
Published: December 2011

This paper presents a wideband low noise amplifier (LNA) for multi-standard radio applications. The low noise characteristic and input matching are simultaneously achieved by active-feedback technique. Bond-wire inductors and electrostatic devices (ESDs) are co-designed to improve the chip performance. Implemented in 0.18-μm CMOS process, the core size of the fully integrated LNA circuits is 535 μm×425 μm without any passive on-chip inductor. The simulated gain and the minimal noise figure of the CMOS LNA are 17.5 dB and 2.0 dB, respectively. The LNA achieves a -3dB bandwidth of 3.1 GHz. And the simulated IIP3 is -4.4 dBm at 2.5 GHz. Operating at 1.8V, the LNA draws a current of 7.7 mA.
Research for the Key Technologies of Smart Grid Dispatching
Authors: Hu Hong Qiong , Ding Xiao Qun , Chen Guang Yu
Published: December 2011

This paper studied the key technoligies and scientific issues of the smart grid dispatching, combining the status and trends of the development of smart grid, and has done research and analysis from the four aspects respectively as follow, the security and defense of a large network and panoramic information and integrated technology platform of smart grid dispatching, the multi-level integration of security check rechnology, energy saving intelligent optimization technology and multi-dimensional intelligent visualization technology of large grid. Summarized the existing equipment and industrial in the power network dispatching and gave some suggestions for developing the technologies of smart grid dispathching.
Network Selection for Accessing Multiple Services Simultaneously under Heterogeneous Wireless Network Environment
Authors: Chen Wei Qing , Jin Xin Yu , Jiang Xiao Feng , Zeng Xiang Bin
Published: December 2011

With the development of wireless network technology, heterogeneous wireless networkis ubiquitous. Thus, selection of an optimal access network canmeet the demands of customersto the highest degree. A non-optimal network selection can result in bad effects such as poor service or higher cost.The traditionalapproach for network selection is based on Received Signal Strength (RSS). However, this paper aims to propose a Multi AttributesDecisionMaking (MADM) algorithm,which combined the parameters of network quality, system state, terminal state and user preferences, to select the optimal network for Accessing Multiple Services Simultaneously (AMSS).This paper analyzesservices classification,handoff related network attributes and the strong association attributes of services, and concerns both of the objective weights and subjective weights when calculating the attributes weights under AMSS. This proposal uses Entropy Method to assign the objective weights and Analytic Hierarchy Processto assign the subjective weights. In the end of this article, a Matlab simulation is performed to evaluate theproposed network selection mechanism based on Technique for Order Preference by Similarity to Ideal Solution(TOPSIS).
Design of a Multi-Function GPS Data Collection System
Authors: Jin Yan , Lv Cheng Jie , He Wei , Wang Shaonan , Chen Cong
Published: December 2011

In this paper a multi-function GPS data collection system based on GSM Short Message Service is designed. By using a self-defining communication protocol, data transmission between a mobile terminal and a monitor center is achieved. The information collected by the mobile terminal is displayed upon the monitor center and a path of the mobile terminal can be shown on Google Earth. Experimental results show that the system not only reaches a satisfying positioning accuracy, but also runs robustly at a low-power state.
Analysis of Risk Transmission from Generation Right Trading to Generation Company Profit
Authors: Li Xian , Li Cun Bin , Lu Gong Shu
Published: December 2011

With the booming of generation right trade(GRT) market, the GRT risk will exert an increasingly important impact on profit of power plants. Hence, Two conditional value at risk (CVaR) models are built for generation rights sellers and buyers respectively. Then, different proportion constraints are set to discuss the influence of GRT. A conclusion can be drawn that the variances of the ratio of generation right power amount may lead to different amount of distribution in different markets as well as the changes of the efficient frontier curves.
Study on Knowledge Based Complex Product Development Process Management System
Authors: Ding Shu Hui , Zhong Pei Si , Wang Hai Xia
Published: December 2011

According to the study of process management and knowledge management, knowledge based complex product development process management system is built, which is used to control the product development process with the supporting of knowledge. Process management system and knowledge management system are studied, and its prototype is developed on the platform of .NET Framework. Knowledge based process management system can provide necessary knowledge for designers, which can decrease errors, improve intellectualization and efficiency.
A Study on Vocational Computer Science Students’ Professionalism Culture
Authors: Huang Xiao Xia , Wang Lan Tian , Xu Hong Xiang
Published: December 2011

This paper aims at professionalism survey of Computer Professional vocational students in Liao Cheng Technical and Vocational College, and combines with the author’s project about "A Study on Vocational Computer Science Students’ Professionalism Culture" in practice, looking for effective practical mode in order to offer vocational guidance for professionalism culture in a pragmatic point of view. With the rapid development of our economy and intensifying employment competition, society are presenting increasing demands on the professionalism and development potential for the professional vocational students. The professional accomplishment training for computer professional vocational students here refers to a certain education practice, which follows the rules of professionalism cultivation, and helps the vocational students develop internal qualities and external behaviors that will play an important role in the future vocational activities by means of education, practice and self-discipline. It is now an important issue for vocational colleges how to help the computer professional vocational students improve their professional quality, enhance the competitiveness of their development in the course of computer professional knowledge teaching in order to make preparations for their future jobs. As the proverb says, preparedness ensures success, unpreparedness spells failure. The computer vocational students must get prepared in advance, develop in an all-round way and improve their professional quality so as to strive for more employment opportunities, succeed in the job market, and quickly get transformed from "school people" to "social" people”.
Research on the Residents Milk Consumption Demand Forecast of Rural Residents Based on Linear Model
Authors: Fang Wei , Lin Weijun , Liang Jun Fen , Zheng Ye Lu
Published: December 2011

In this study, milk consumption of rural residents in Guangdong Province as the study sample, using time series data, using five factors for the explanatory variables：farmer’s net income, per consumption expenditure, milk production, fertility, urbanization level residents. Then, constructed Consumption Forecast linear model, predicted milk consumption data. The results showed that milk consumption in rural areas of the Linear Model has good applicability, and the prediction of future milk production in Guangdong have important macro guide.
Design for Power Control in Wireless Ad Hoc Networks
Authors: Xia Jin Wei
Published: December 2011

Analysised and researched for the power control problem in Ad Hoc network, and Proposed an improved power control protocol based on 802.11MAC layer of CSMA /CA mechanism . The algorithm increased the transmission power value and the received power threshold in the RTS/CTS control packets, the node and its adjacent node can determined the data packet transmission power and received power accorded it, Thus effectively reduced the nodes between the hidden terminal and exposed terminal interference, and can reduced the power consumption of wireless nodes. It is compared with the IEEE 802.11 MAC protocol by simulation. The results show that the power control protocol can improve the system end to end throughput performance, and minimize the power consumption of wireless nodes, so as to saved the network power consumption .
Analysis and Explore of Cultivating Students Characteristic Team and Team Spirit in the Network Comprehensive Practice Curriculum Reform Project
Authors: Zhang Sheng Fu
Published: December 2011

In today's society, along with the social specialized division being increasingly profound and complex, greater demand for team and corresponding team spirit is put forward. Based on the Network Comprehensive Practice Curriculum Reform Project, this paper provides an analysis and induction of the procedure for cultivating student team and team spirit to develop a characteristic team and team spirit.
On the Fractal Characters of Seawater Temperature in the Kuroshio
Authors: Zhou Yan Xia , Han Mei , Da Liang Long
Published: December 2011

The Kurshio can affect sonar detection notably. The software named Gis ArcView is used to identify the Kuroshio area by analyzing underwater acoustics data. And seawater temperature isolines are drawn based on the temperature data which are distributed at some intervals in terms of latitude and longitude. The box counting method is applied to calculating the fractal dimension of the Kuroshio seawater temperature isolines in different seasons at the depth of 60m and 150m.The results indicate that the fractal dimension at 150m deep is bigger than that at 60m, but the former fluctuates less than the latter.It is conformed to the facts about the Kuroshio. Acoustic wave is the best medium through which acoustic information can be well transmitted. In the Kurshio area where underwater acoustic environment is rather complex, many singular areas are formed in the three-dimension sound field, in which sonar detection and tracking will be affected to a great extent. However, with the development of remote sensing technologies, it is possible to observe and forecast such mid-scale phenomena as the Kurshio, ocean fronts and interwaves. Therefore, how to effectively extract and analyze the main characters of these phenomena is quite important for Navies. Some people still get used to judging Kurshio’s existence and even intensity as well by simple criteria for a long time. For example, when the exchange of seawater temperature is exceeds 0.1°C/n mile, it will be considered that an ocean front exists. This criterion in fact is so ambiguous not only in this regard, but also in describing the Kurshio’s intensity[1]. In vies of this, the author operates the software, GIS ArcView, to extract and analyze the Kurshio, and take the box counting method[2] to calculate out the fractal dimensions in the area between 20º~30º N and 120 º~130ºE respectively at the depths of 60m and 150m.
Emulation of Vacuum Tubes
Authors: Li Hai Yu
Published: December 2011

The robotics solution to Lamport clocks is defined not only by the construction of multicast systems, but also by the extensive need for RAID. after years of essential research into flip-flop gates, we confirm the development of IPv7, which embodies the important principles of robotics. Lyno, our new system for the analysis of Markov models, is the solution to all of these obstacles.
A Flexible Facial Feature Replacement System
Authors: Yeh Jih Pin , Kao Chen Yu , Chen Chung Yung , Lin Hwei Jen
Published: December 2011

In this study, we propose a facial feature replacement system, which uses the triangulation algorithm to perform facial feature replacement in each segmented triangular region associated with control points. The experimental results show that our system provides quite natural composite images. In addition, the system is flexible and has no limit in the shape, size, and plane rotation of the faces which are processed.
The Study on Environment Simulation System of Lunar Rover Experiment
Authors: Li Man , Tong Jing Yu , Bai Yu , Tian Dong Bo , Wang Bin , Wang Zhi Hao
Published: December 2011

Considering the tough characteristics of the lunar environment and the long-distance between the moon and the earth, it is important to perform an experiment on the ground to validate the mobility and rideability of the lunar rover. This paper presents an environment simulation system of lunar rover experiment based on deeply analysis on lunar environment and existing simulation technology. The environment simulation system of lunar rover experiment could be used in series important experiments of lunar rover. It could simulate vacuum, high and low temperature range, and ultra-violet radiation environment of the moon and it could also manufacture the simulated lunar dust applied to engineering test. This system consists of four parts: the vacuum chamber subsystem, turntable subsystem, simulated lunar dust manufacture subsystem and test subsystem. The actual lunar rover driving conditions could be verified by this environment simulation system. The development of this system has great helpful to guarantee the lunar exploration mission accomplished successfully.
Energy Operator Demodulation Method and Its Application in Gears Fault Diagnosis
Authors: Wang Chun , Peng Dong Ling , Zhu Ge
Published: December 2011

Base on the analysis of the localization of the demodulation methods, a new optimizing arithmetic model, the energy operator optimizing arithmetic, is put forward first. Through theoretical analysis and engineering application, this new arithmetic is compared with the classic arithmetic, Hilbert demodulating method, from the precision, sensitivity, anti-jamming, complexion and some other fields by experiments. At last, this dissertation validates that the high-frequency resonance technique based on energy operator optimizing arithmetic which combine with LabView is availability with gear fault diagnosis that increase the frequency resolution of demodulation spectrum.
A Method for Computer Software Security Detection
Authors: Cheng Yong , Yang Ling , Jin Wen Jia , Yang Wen Zhong , Wang Wei , Wang Feng , Zhou Yong
Published: December 2011

This paper proposed a method and a prototype using static analysis to detect security of computer software. There are many buffer overflow vulnerabilities in released software. It uses the static object code analysis technology to detect buffer overflow, and analysis some unsafe function to determine whether the software has some default. It compares the different results of the proposed tool and traditional buffer overflow detecting tools, the false alarm rate is less than others, false negative rate is same as others.