bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical Simulation of Smoke Flow and its Effect during Railway Tunnel Fire
Authors: Qu Zhi Ming , Ma Xiao Yu
Published: June 2010

The physical and mathematical turbulence flow fields models are set up to numerically simulate railway tunnel fire and smoke flow. An experimental fire simulation results in railway tunnel indicate that the temperature distribution of laminar flame, the smoke concentration and flow velocity can be expressed by the fully developed smoke flow downwind. Through numerical simulation, it is concluded that the turbulent flow field models are better and have good consistency with the experimental results. The phenomenon of tunnel fire, the development and distribution of smoke flow can not only provide great support on the fire protecting and ventilation plan, but also give better reference to the pedestrian evacuation and the design of disaster prevention and mitigation.
In Vitro Selection of Oligonucleotide Acid Aptamers against Pathogenic Vibrio Alginolyticus by SELEX
Authors: Zheng Jiang , Li Yu Bao , Li Jia Xiang , Wang Jun , Su Yong Quan
Published: June 2010

Detection of pathogenic microorganism is very necessary in the control of infectious disease prevailing in aquiculture animals. However, most of the present techniques can not meet the need of the quick field inspection. Systematic evolution of ligands by exponential enrichment (SELEX) is a new molecular recognition way for generating high affinity oligonucleotide acid aptamers, a new nucleotide acid material, which have been widely used in the detections of proteins, cells and so on. In the present paper, the technology was applied to select the high affinity aptamers against pathogenic microorganism Vibrio alginolyticus, which could be used for the rapid field detection of the microorganism. Based on the designment of the ssDNA library of 76 nucleotide acids with 35-base random region, the SELEX system for the selection of the high affinity aptamers against Vibrio alginolyticus was established. In the SELEX system, asymmetric PCR was proved to be a better amplification method for the ssDNA library than the reported affinity magnetic bead method, and the corresponding parameters of the asymmetric PCR were also studied and optimized. The affinity of the final ssDNA library increased by nearly 200% compared with the original library. Cloning and sequencing of the final ssDNA library showed that there were at least two kinds of ssDNAs with different length in the affinity ssDNA library: one was 76 bases, another was 149 bases. Simulation of the secondary structures showed that the secondary structures of the two fragments were different greatly, suggesting that the two fragments could bind to different sites of V. alginolyticus surface.
Measurement of Worker Differences and Optimization of Personnel Assignment for Assembly Production
Authors: Cao Le , Wang Biao , Liu Fei
Published: June 2010

The measurement of worker differences is fundamental consideration in personnel assignment which is one key decision that influences the productivity and quality of assembly production. Due to the weakness of presented researches on worker differences measurement, the concept of station fitness, which takes the worker skill level and accumulated execution time in a given period as parameters, is proposed to better describe the worker competency and provide a way of measuring the differences among workers. A personnel assignment optimization model based on station fitness for assembly production is constructed, and the objectives are maximizing the station fitness for each assembly station and minimizing the difference of station fitness for workers assigned in the same assembly line. Then a heuristic algorithm based on the fitness matrix is presented to solve this model. The results from the example demonstrate the feasibility of the approach.
A Improved Topics Search Algorithm Based on PSO Strategy for Web Mining
Authors: Zhan Hua Qun
Published: June 2010

HITS algorithm assigns same weight to links between Web pages,which results in topic drift. In this paper,a new focused crawling approach based on PSO Algorithm is proposed（PSOHITS）. The method electively seeks out pages that are relevant to a pre-defined set of topics using PSO Algorithm,increases the crawling chance of the web page following the web page with the low content-relevance,and broadens the relevant-searching scope of crawlers.Meanwhile,the hyperlink metadata is used to predict the topic-relevance of the web page pointed and quickens the information crawling. Experiments show that the proposed algorithm can improve relevance ratio by 15%~36%.Furthermore,it can well avoid topic drift and improve the accuracy of information collection. It has important theoretical and practical values for search engines research.
The Scheduling Algorithm of Grid Task Based on PSO and Cloud Model
Authors: Zhong Shao Bo , He Zhong Shi
Published: June 2010

Grid task scheduling (GTS) is a NP-hard problem. This paper proposes an optimized GTS algorithm which combines with the advantages of cloud model based on the particle swarm optimization algorithm. This algorithm iterates tasks utilizing the advantages of particle swarm optimization algorithm and then gets a set of candidate solutions quickly. In addition, this algorithm modifies the value of entropy and excess entropy using the characteristics of cloud model and implements the transformation between qualitative variables and quantity of uncertain events. And this algorithm makes particles fly to the global optimal solutions by exact searching in local areas. Theoretical analysis and simulation results show that this algorithm makes load balance of resource efficiently. It also avoids the problems of genetic algorithm and basic particle swarm optimization algorithm, which would easily fall into local optimal solutions and premature convergence caused by too much selected pressure. This algorithm has the advantages of high precision and faster convergence and can be applied in task scheduling on computing grid.
Portable Ground Control and Test Station Design for Robotic Subminiature Unmanned Aerial Vehicles
Authors: Rao Jin Jun , Jiang Zhen , Gong Zhen Bang , Zhang Zhen
Published: June 2010

Subminiature fixed-wing Unmanned Aerial Vehicles (SUAVs) present enormous potential. In order to develop a robotic SUAV with significant levels of autonomy, a portable ground control and test station (GCTS) is studied and developed. The requirements of GCTS are analyzed and the overview of GCTS is given firstly. Then the main operation modes of digital data link module are detailed. As the core of the portable GCTS, a set of software tools, including embedded map and trajectory visualization, 3-dimention attitude viewer, avionics panel, plotting utility, mission and control configuring, flight data and mission video storage and playback, etc., are researched and developed. The flight experiments application validate that the portable GCTS satisfy most of the requirements, and mitigates the difficulties and cost of development of the robotic SUAV remarkably.
Digital Generation ──The Diversified Impact of Digital on Architecture
Authors: Wu Min , Jian Hong Ping
Published: June 2010

Digital technology means the data processing, transfer of information, intelligent control and many other multi-dimensional technologies that on the basis of computer technology. It will not only make the building more automatic, more efficient and more intelligentized, but also have a all-sided influence to the traditional architecture through the computer technology and net technology. In the area of architecture design, including the traditional thinking, method, craftsmanship and the constitution of architectural space and form, are also changing and developing in order to advancing with the times. This document is base on the nucleus of architecture design, put forward some consideration about design idea as well as research method of architecture in digital age and the trend and possibility of the architecture development under the action of digitization technic.
Measurement of Two-Phase Flow Parameters and Image Reconstruction Based on Weighted SVD Truncated Conjugate Gradient Algorithm
Authors: Zhang Yan Jun , Chen Yu , Chen De Yun
Published: June 2010

Taking into account the effect of sensitivity field and ill-posed problem in ERT, a weighted SVD truncated conjugate gradient image reconstruction algorithm (WSTCG) and its mathematical model were developed based on singular value decomposition of the sensitivity matrix theory. Simulation and experimental results show the proposed algorithm has two excellent characters of high quality and fast convergence speed compared with the LBP algorithm and CG algorithm.
Overview of Cleaner Production Audit
Authors: Zhou Ji Hong , Gou Xiao Tao , Shi Zhong Tao
Published: June 2010

Through the practice for environmental protection in the past few decades, people increasingly recognize that relying solely on the development of more effective pollution control technologies that can achieve environmental improvement is very limited. To care products and the environmental impact of production processes and depend on improving production processes and strengthen the management and other measures to eliminate pollution is more effective. So the cleaner production strategies have emerged. Cleaner production is a great significant to environmental protection strategy of innovation, and is the inevitable choice for sustainable industrial development.
Hybrid Heuristics for Multiple Production Forward/Reverse Logistics System
Authors: Liu Chang Shi , Li Yun Yao
Published: June 2010

We consider a multiple production two-stage forward/reverse logistics system design problem where a fixed number of capacitated distribution/reclaiming centers are to be located with respect to capacitated suppliers and retail locations while minimizing the total costs, and take the random of demand/reclaiming into consideration. We also provide hybrid heuristic procedures for the problem, and develop transshipment heuristic to improve the duration of the proposed approaches. Finally we present computational results that show the high performance and effectiveness of the solution approaches.
A Note of Information Signal
Authors: Zhao Jie Min
Published: June 2010

Consider a class of second-order information signal model with input capacitance, transfer function, synaptic connection strength and input resistance. We construct a Liapunov function. A stability result is given by means of the analysis and computing method.
A Result in Artificial Intelligence
Authors: Zhao Jie Min
Published: June 2010

Consider a class of artificial intelligence model with finite time–delay. We construct a Liapunov functional. A global stability result is given by means of the analysis and computing method.
Novel New Information Non-Equal-Interval Direct Optimizing Verhulst GM(1,1) Model and its Application to Test Data Processing
Authors: Luo You Xin , Xiao Wei Yue
Published: June 2010

The non-equal-interval direct optimum Verhulst GM(1,1) model was built which extended equal interval to non-equal-interval and suited for general data modeling and estimating parameters of direct Verhulst GM(1,1)by optimizing the background value and modified x(n) be taken as initial value. The new model need not pre-process the primitive data, accumulated generating operation (AGO) and inverse accumulated generating operation (IAGO). It was not only suited for equal interval data modeling, but also for non-equal interval data modeling. The new model chooses the modified nth component of X(0) as the starting conditions of the grey differential model. As the new information is fully used, the accuracy of fitting is higher. The example showed that the new model was simple and practical. The new model was worth expanding and applying in test data processing or test on-line monitoring and social science and engineering science.
New Non-Equidistant Optimum GM(1,1) of Line-Drawing Data Processing in Computer Aided Design
Authors: Luo You Xin
Published: June 2010

Based on the exponential trait of grey model and the definition of integral, the reconstruction method of GM(1,1) model’s background value of non-equal distance sequence was put forward and a kind of non-equidistant optimum grey model GM(1,1) to line-drawing data processing in computer aided design was proposed. The mean relative error is taken as the optimum objective function. The power mutation particle swarm optimization program PMPSO1.0 was compiled with Matlab 7.6 software to make optimization. Two examples were given, their results were compared with the results based other Grey models, respectively. The method can be used for model establishing on equal interval, as well as on non-interval. Moreover, GM(1,1) model’s fitting precision and prediction is advanced and the scope of application is enlarged. The model is simple and practical, and has a generalizing value in the field of CAD.
Research on the Education Model of Project Management Talent Based on the Cooperation
Authors: Wei Jin Yu , Li Xin , Wang Hui
Published: June 2010

Project Management has made great contribute on the progress of enterprises and economy for a century. This paper analyzed the status of the enterprises applying Project Management and their needs for Project Management talent. With the use of the experience of some other universities for reference, this paper proposed the objectives of the education model of Project Management and the ways to implement them. On the base of the cooperation, this paper concluded an education model of Project Management suitable to students.
Dynamic Partition of Shared Cache for Multi-Thread Application in Multi-Core System
Authors: Li Shuo , Wu Feng
Published: June 2010

In a chip-multiprocessor with a shared cache structure , the competing accesses from different applications degrade the system performance.The accesses degrade the performance and result in non-predicting executing time. Cache partitioning techniques can exclusively partition the shared cache among multiple competing applications. In this paper, the authors design the framework of Process priority-based Multithread Cache Partitioning(PP-MCP),a dynamic shared cache partitioning mechanism to improve the performance of multi-threaded multi-programmed workloads. The framework includes a miss rate monitor , called Application-oriented Miss Rate Monitor (AMRM) , which dynamically collect s miss rate information of multiple multi-threaded applications on different cache partitions , and process priority-based weighted cache partitioning algorithm ,which extends traditional miss rate oriented cache partition algorithms.The algorithm allocates Cache in sequence of the value of the process priority and it ensures that the highest priority process will get enough Cache space; and the applications with more threads tend to get more shared cache in order to improve t he overall system performance. Experiments show that PP-MCP has better IPC throughput and weighted speedup. Specifically , for multi-threaded multi-programmed scientific computing workloads , PP-MCP-1 improves throughput by up to 20% and on average 10 % over PP-MCP-0.
SoC Test Data Compression Technique Based on RLE-G
Authors: Deng Chun Jian , Wei Liu , Zheng Xi Feng , Yang Liang
Published: June 2010

Test data compression has been an effective way to reduce test data volume and test time, as well as to solve automatic test equipment (ATE) memory and bandwidth limitation. We analyze the limitations of current test data compression algorithm and draw on the previous experience to deduce an optimal compression coding model suitable for SoC test data. In addition, in this paper we make full use of the relevance of the test vectors and the advantages of statistical coding to present an efficient test data compression method RLE-G based on the coding model, and give the RLE-G the optimal compression efficiency of the boundary conditions and realization steps. The experimental results for ISCAS 89 benchmark circuits demonstrate RLE-G have the excellent advantages of high compression ratio.
Study of a New Kind of Low Light Level Night Vision Device
Authors: Li Da She , Liu Shu E , Hua Zhen
Published: June 2010

A way based on B-Spline wavelet transform is used to get the edge extraction of the night image. Compared with classical methods of edge detection, it provides higher precision and saves more details etc. Formulation of communication protocol is put forward. With the combination of laser technology and night vision technology, hardware and software program and image processing is designed to realize the auto-detection, monitoring and alarm. The visual range in full dark is 1.8km and more than 2.1km in 1/4 moonlight
Environment Strategy Selection of Enterprise under the Background of Environment Regulation
Authors: Li Chuang
Published: June 2010

Circular economy provides strategic theory paradigm for the transformation from traditional economy to sustainable development economy, so that it resolve basically the contradiction between environment conservation and economic development in a long time. As the principal part of economic activities, enterprises’ attitude to the environment strategy directly affects the execution effect of national environment strategy. From the two sides of exterior conditions and interior factors, the paper analyzed the selection games of enterprises’ environment strategy, took an example of Guangxi Guigang National Eco-Industrial Demonstration Parks and explained the feasibility of “win-win” between economy and environment.
Forecasting Thermal State in Blast Furnace Using Fuzzy Prediction Controller Optimized by Wavelet De-Noising
Authors: Luo Shi Hua
Published: June 2010

A new fuzzy prediction controller is established to prediction for silicon content in blast furnace hot metal. The forecasting process is only used the historical information of silicon content. This new algorithm consists of five steps: step 1 de-noises silicon content numerical data by wavelet analysis to smooth out noise; step 2 divides the input and output spaces of the de-noising numerical data into fuzzy regions; step 3 generates fuzzy rules from the de-noising data; step 4 assigns a degree to each of the generated rules for the purpose of resolving conflicts among the generated rules; step 5 determines a fuzzy prediction controller from input space to output space based on such rules. Simulation results show that: 84% hit rates of prediction in the range of [Si] 0.1% is attained using the prediction controller.
Distribution of Temperature Field for Rolling H-Beam
Authors: Feng Xian Zhang , Cui Yan Mei , Zhao Hui
Published: June 2010

A 3D thermal-mechanical coupled was established for simulation model with technique of engineering thermodynamics and theory of nonlinear finite element during H-Beam rolling. The whole process of H-Beam rolling was repeated overall, and base on the known rolling regulations. The rules of temperature distribution were obtained for intersection deformation of web and flange during H-Beam hot rolling, and 45 steel as rolling stock. The studied achievements indicated that temperature of the stock presented tendency fall down, but tendency heighten in some domain, because of the thermal conductivity, heat radiation and convection and heat generation of plastic work done. The simulation results will have guiding meaning for defining rolling regulations and precise boundary condition of temperature for H-Beam.
The Remote Monitoring System for Key Sewage Displacements Based on GPRS and GIS
Authors: Ma Wei Feng , Sun Xiao Yong
Published: June 2010

Facing to the problem of increasingly serious water pollution, it is significant to monitor the key sewage displacements in real time and dynamically using modern information technology, which is an effective aid to sewage treatment. This paper proposes a solution for monitoring the key sewage displacements based on GPRS and GIS technology, discusses the system architecture, function module and database system design (especially the spatial database design). Moreover, it introduces the implementation of system in detail such as hardware system, message transport protocol and application system. The running result shows that the solution is feasible, and the system has characteristics of low cost, stable and multi-dimensional data display with GIS.
Forecasting of the Fatigue Life of Metal Weld Joints Based on Combined Genetic Neural Network
Authors: Ma Dan , Chen Zhan Qing , Shan Xian Lei
Published: June 2010

For metal weld joints, due to the complex non-linear relationship among the factors which influence the fatigue performance, so it is hard to establish an accurate theoretical model to forecast its fatigue life. Based on the self-learning ability and approximation of non-linear mapping capability of the artificial neural network (ANN) and the powerful ability of global optimization of the genetic algorithm (GA), the paper through optimizing the ANN by GA, establishes combined genetic neural network (GA–ANN). The method establishes the mapping relationship between the fatigue life of metal weld joints and a variety of influencing factors, having greatly increased the computational efficiency for the fatigue life of metal weld joints, also had a higher forecast accuracy. The superiority of this method had been tested by the forecast of the fatigue life of weld joints in different process parameters, the new method to forecast the fatigue life of metal weld joints is proposed.
A Model for Priority Processing of Orders Based on Genetic Algorithm and Membership Function
Authors: Zhang Fan , Zhang Yuan Biao , Yu Jian Zhang , Wang Jian Bo
Published: June 2010

Order arrangement is always the headache thing for manufacturers even in this high-tech modern society. Hence, this paper manages to construct a nonlinear 0-1 programming mathematical model in search of optimal solution of minimizing the cost of default. And we make an attempt to apply Genetic Algorithm in accordance with this NP-hard problem. In designing the algorithm, we propose an encoding method based both on orders and working procedure, adopt Roulette Wheel method to select the next generation, and embed crossover and mutation to avoid the common defect of premature convergence. Noticing that firms would have various psychological preferences towards different orders, we introduce Membership Function to characterize the priority of orders by comprehensively concern processing complexity, urgency and revenue of orders.
The Design of Data Security Synchronization in the Network of Satellite and Ground Security Management Instrument
Authors: Li Qian Mu , Wang Rui , Yin Jie , Hou Jun
Published: June 2010

Network security, data management, data synchronization
Abstract. The aim of Network of Satellite and Ground Security Management Instrument (NSGMI) is to increase network availability, improve network performance and control operation costs. After analyzing the shortcomings of traditional data synchronization mechanism, this paper reconstructs data processing method to improve communication ability of NSGMI, and provides a solution to guarantee real time and reliable on the application layer. The new mechanism provides buffer areas and operation flows to satisfy the high efficiency of data processing demand and the strong real time request. It solves how to open the buffer size when a direct access changes records.
An Efficient Lossless Compression Algorithm for Vector Maps
Authors: Wu Hai Yan
Published: June 2010

This paper suggested a new efficient lossless compression algorithm for vector maps in view of the graphical characteristics. First, we adopt the differential lossless transformation for the graphic data in the vector map files, to make the original data which should have been represented by double model or float model be represented by long model. Then, based on the abbreviated compression, the prediction coding based on the irregular coefficients is used. Namely, it is to dynamically distribute proper byte storage to the transformed coefficients which have been differentiated according to the numerical values, and compressed further combined with a dictionary coding method. Finally, we do an experimental contrast for the compression effect.
Load Distribution of Rolling Bearing for Steel Shapes Universal Roll Mill
Authors: Feng Xian Zhang , Wang Jen Feng
Published: June 2010

At the stage of the start and end for rolling H-beam by universal rolling method, there exists biting and tailing-out phenomenon in the stage, the rolling bodies endures repeating impact loading for the bearings. In order to ensure the working safety and reliability for universal roll mill, according to Hertz contact theory, small deformation superposition principle, and etc. Setting bearing clearance is 0.1 mm, maximum rolling force is 8000 KN for the level rollers, without consideration of influence of friction, and researches and deduces the mathematic models of force calculation for rolling bodies. The results shows that the thickness of the rolling bearing had very little effect on load distribution of rolling body, the calculated results coincide better with finite element results, and the achievements can supply a reference of the production of hot rolling for H-beam.
Research of Intelligent Control Methods for Hot Strip’s Coiling Temperature
Authors: Zhao Wei , Chen Yu Liang , Huang Wen Juan
Published: June 2010

This paper briefly describes the importance of coiling temperature control in the strip production process, and analysis which shows that the current existence of coiling temperature control is difficult, for the laminar cooling process is one with a strong non-linear, distributed parameter, time-varying. Intelligent control method is presented and carried out with the Matlab simulation. The simulation result shows that this method will enable the ultimate precision of coiling temperature control within 5 °C.
A Novel Embedded System for Wireless Ordering Based on RFID
Authors: Guo Miao Yun , Chen Tian Ding , Yu Chang Hong
Published: June 2010

As the development of the electric technology, more and more embedded system are applied in all walks of life. This paper describes an embedded system for wireless ordering, which can be used in many fields, besides restaurants. The system is consisted of LCD display module, wireless communication net module which includes sending and decoding. This design has advantages of both low price and high performance.
The Design and Implement of Intelligent TM Card Water-Meter and its Management System
Authors: Chen Qing Zhang , Wang Peng , Chen Rong Shu
Published: June 2010

In view of the backward situation in technology of the prepayment intelligent water-meter. The paper presents the new method of water-meter word wheel’s numeral recognition and the design of intelligent water-meter based on TM card and its management system. TM-card technology is introduced into prepayment intelligent water-meter, the structure of hardware and realization of software in the control system of Intelligent TM-card water-meter is given, including introducing the method of encoding sampling and recognition, and the circuit design of every part, and the design of embedded software. The realization of charge management system is detailed introduced. The prototypical experiment and the actual application indicates that the intelligent water-meter system based on TM card has some advantage of perfect function, exact measurement and reliable communication.
The Key Technology Research of GPS Positioning System Based on Single Chip Microcomputer
Authors: Wang Yu , Zheng Zhen Yao
Published: June 2010

Global Positioning System（GPS）is able to identify real-time information of moving objects quickly and efficiently, such as longitude, latitude, altitude, time and so on. So it has to give the positioning and navigation of objects. This research uses GPS9540 receiver module to receive satellite signals. The time information and location information of this kind of GPS receiver module is GPRMC statement of NMEA-0183 standard format. We use AT89C51 Single Chip Microcomputer (SCM) of ATMEL Corporation as the core controller, and use the serial port of SCM to receive the time information and location information of GPS receiver module. We adjust the time difference information of the GPS receiver module, and finally display acquired location and time information through the liquid crystal display module (LCD). Actual operating results show that the system can decode GPS location information and time information correctly, and positioning information and time information is displayed on the LCD correctly. The system has good reliability and practicality, and it can be used for object location and navigation.
This research first introduces the applications and theory of GPS as well as the extraction methods of GPS module output data. Then we introduce the system hardware block diagram and schematic, as well as system software flow chart and software programming, thus we achieve the key technology research of the GPS positioning system.
Intrusion Detection Based on Self-Organizing Map and Artificial Immunisation Algorithm
Authors: Chen Zhen Guo , Zhang Guang Hua , Tian Li Qin , Geng Zi Lin
Published: June 2010

The rate of false positives which caused by the variability of environment and user behavior limits the applications of intrusion detecting system in real world. Intrusion detection is an important technique in the defense-in-depth network security framework and a hot topic in computer security in recent years. To solve the intrusion detection question, we introduce the self-organizing map and artificial immunisation algorithm into intrusion detection. In this paper, we give an method of rule extraction based on self-organizing map and artificial immunisation algorithm and used in intrusion detection. After illustrating our model with a representative dataset and applying it to the real-world datasets MIT lpr system calls. The experimental result shown that We propose an idea of learning different representations for system call arguments. Results indicate that this information can be effectively used for detecting more attacks with reasonable space and time overhead. So our experiment is feasible and effective that using in intrusion detection.
The Application of Similarity Measure for Power Quality Waveform Distortion Detection
Authors: Lin Lin , Qi Jia Jin , Huang Nan Tian
Published: June 2010

Power quality waveform distortion detection is one of the most important works for power quality diagnosis. It is the basis to decide when to record the fault power quality signals. This paper presents a new method to detect waveform distortion by similarity measure. 6 types of typical power quality events are simulated to compare the effect of distortion detection. Simulation results show that the distance measure is suit to waveform distortion detection and normalized distance has the best effect of detection.
The Optimum Design for Core Section of Power Transformer when Cooling Oil Pans Are Added or Not
Authors: Zhao Sha , Zhang Yuan Biao , Wan Qian , Jiang Zhi Min
Published: June 2010

In terms of the design of the Core Section, aiming at the half of the core circumcircle, for the case of the Core Section without the Cooling Oil Pan, this paper firstly establishes a non-linear programming model taking the objective function that the geometric cross-sectional area of the column core is the largest. Then, on the basis of analyzing the case of Cross Section with the Cooling Oil Pans another non-linear programming model is estabished to make the geometric cross-sectional area of the core column be the largest and the adjacent area of the two parts divided by the Cooling Oil Pans be equal as much as possible. And, the series of the section and the width and thickness of the silicon steel sheets at all levels are fixed while the effective cross-section of the core column is maximum. At last, to the two instances, this paper analyses the effects of the addition of the Cooling Oil Pans on the design for Cross Section.
Fuzzy Evaluation on Food Safety Based on Improved Membership Degree Transformation Algorithm
Authors: Shi Cheng Hua , Wang Ya Peng
Published: June 2010

It needs a scientific and complete index system for a comprehensive evaluation on the safety of foods in some region or some country. And the use of advanced evaluation technologies is also an important work of food safety evaluation. The paper eliminated the redundant data in index membership for object classification by defining distinguishable weight and extracted valid values to compute object membership. The improved algorithm of membership degree transformation includes three calculation steps which can be summarized as “effective, comparison and composition”, which is denoted as M (1,2,3). The paper applied the new algorithm in fuzzy evaluation on the safety of foods. Evaluation results show the validity of the improved model and the model can achieve the dynamic evaluation of the safety of foods in some region or some country.
A Computational Reflection Based Distributed Query Model
Authors: Li Kan , Ni Zhan Qiong
Published: June 2010

Distributed software systems often intertwine the handling of application functionalities with distribution related issues including location transparent access to services, workload allocation among different hosts, adaptation to changing conditions of the network. In the paper, a computational reflection based distributed query model is proposed. The model uses computational reflection to divide the distributed query system into two levels: the meta level and the base level. Meta objects that existed in the meta level are responsible for control and description of the base level, hence the state change of the base level could be captured by the meta level and be controlled according to the meta level’s reaction. The advantages of the model are that adapt different changes such as data resources in the network, network conditions, query plan, and provide the capability of fault tolerance.
Novel New Information Non-Equidistant Optimum GM(1,1) and its Application to Line-Drawing Data Processing in Computer Aided Design
Authors: Luo You Xin , Zeng Bin
Published: June 2010

Based on grey system, a new kind of new information non-equidistant optimum grey model GM(1,1) to line-drawing data processing in computer aided design was proposed in which the response function is based on new information x(tn) . The objective function is built to make the fitting mean relative error least and the program was compiled with bacterial foraging algorithm (BFA) combined with particle swarm optimization (PSO) algorithm to optimize the background value and modify the initial value x(tn) of response function. The method of precision inspection was introduced. The programming was authorized with MATLAB7.6 language. Two examples were given, their results were compared with the results based other Grey models, respectively. The method can be used for model establishing on equal interval, as well as on non-interval. Moreover, GM(1,1) model’s fitting precision and prediction is advanced and the scope of application is enlarged. The model is simple and practical, and has a generalizing value in the field of CAD.
The Performance Assessment Strategy in DC-BTA Multiple Sequence Alignment
Authors: Cao Zhan Mao , Xiao Wen Jun , Peng Li Min
Published: June 2010

A brand new performance assessment model is proposed for multiple sequence alignment. The new strategy is based on beam constructing of DC-BTA algorithm, which is a Divide-and-Conquer alignment method with beams. Beams form blocks of almost the identical columns and contribute biggest similarity weight to sequences. A formula to compute all beam areas covering a sequence assigns a value or weight to the sequence. And the total beam area is a partial to the whole alignment. A rate value between 0 and 1 is computed to assess the performance. This scheme is a simple and effective assessment policy in DC-BTA for the convenience of collecting the beam areas.
Novel Non-Equidistant Optimum GM(1,1) and its Application to Line-Drawing Data Processing in Computer Aided Design
Authors: Luo You Xin , Liao De Gang
Published: June 2010

Based on the exponential trait of grey model and the definition of integral, the reconstruction method of GM(1,1) model’s background value function of non-equal distance sequence was put forward and a kind of non-equidistant optimum grey model GM(1,1) to line-drawing data processing in computer aided design was proposed. The new model chooses the modified first component of X(0) obtained by optimizing as the starting conditions of the grey differential model and the parameter of the background value function also obtained by optimizing with chaos immune particle swarm optimization algorithm (CIPSO) to make the fitting mean relative error least. The method of precision inspection was introduced. Then, the programming was authorized with MATLAB7.6 language. An example was given, the results were compared with the results based other Grey models, respectively. The method can be used for model establishing on equal interval, as well as on non-interval. Moreover, GM(1,1) model’s fitting precision and prediction is advanced and the scope of application is enlarged. The model is simple and practical, and has a generalizing value in the field of CAD.
Improved Inter-Cluster Separation Algorithm
Authors: Wu Xiao Hong , Wu Bin , Zhao Jie Wen
Published: June 2010

The inter-cluster separation (ICS) algorithm adds the separation item into the objective function to minimize the fuzzy Euclidean distance and maximize the inter-cluster separation. However, ICS is sensitive to noisy data, so an improved inter-cluster separation (IICS) algorithm is proposed to deal with this problem. It is claimed that IICS is an incorporation of ICS and improved possibilistic c-means (IPCM) clustering. IICS can produce both possibilities and memberships simultaneously, and it overcomes the noise sensitivity problem of ICS and the coincident clusters problem of possibilistic c-means (PCM) clustering. Further, IICS does not depend on the parameters that exist in IPCM. The experimental results show that IICS compares favorably with ICS.
Noise Fuzzy Learning Vector Quantization
Authors: Wu Xiao Hong , Wu Bin , Zhao Jie Wen
Published: June 2010

Fuzzy learning vector quantization (FLVQ) benefits from using the membership values coming from fuzzy c-means (FCM) as learning rates and it overcomes several problems of learning vector quantization (LVQ). However, FLVQ is sensitive to noises because it is a FCM-based algorithm (FCM is sensitive to noises). Here, a new fuzzy learning vector quantization model, called noise fuzzy learning vector quantization (NFLVQ), is proposed to handle the noises sensitivity problem of FLVQ. NFLVQ integrates LVQ and generalized noise clustering (GNC), uses the membership values from GNC as learning rates and clusters data containing noisy data better than FLVQ. Experimental results show the better performances of NFLVQ.
DSTATCOM Inverse System PI Controller
Authors: Dai Wen Jin , Chen Xiang Jie
Published: June 2010

DSTATCOM used the direct current control method to suppress the voltage flickering which is caused by the undulatory property load, its reactive current tracking performance plays a decisive role for the inhibitory effect of the device.Considered the parameter installation difficulty and electrical network parameter dynamic change characteristic for conventional PI control when designs the controller, fuzzy logic was proposed that used to make the online adjustment for PI controller's parameter, which makes DSTATCOM has strong auto-adapted and robustness character. When the electrical network parameter changed, DSTATCOM still can suppress the voltage flickering very well. The digital simulation result has confirmed the control policy accuracy and validity.
Current Detection Simulate for STATCOM Dynamic Compensation System
Authors: Chen Ying , Chen Xiang Jie
Published: June 2010

In view of low-pressure area for dynamic reactive power compensation device application present situation, a more advanced static reactive power compensation techniques was proposed that is STATCOM (Static Synchronous Compensator-STATCOM) which based on the modern power electronic technology, and it applied to the low-voltage dynamic reactive power compensation area, developed a new and more advanced low-voltage dynamic reactive power compensation device. In this paper, STATCOM compensation system simulation model was established in MATLAB6.5, futher to study its real-time compensation. Theory analyze and simulation results indicate that compare with static capacitor compensation，dynamic compensation achieved zero phase angle between power source current and voltage on rating frequency，demand for power supply rating power is reduced and power transmission performance is ensured.
Improve the Envelope of EMD with Piecewise Linear Fractal Interpolation
Authors: Fan Zhi Ping , Hong Tian Sheng , Liu Zhi Zhuan , Jing Zheng Zhe
Published: June 2010

Empirical mode decomposition (EMD) has recently been pioneered by Huang et al. for adaptively representing non-stationary signals as sums of zero-mean amplitude modulation frequency modulation components. The traditional EMD algorithm adopts the cubic spline interpolation as an effective tool processing non-stationary signal, but it cannot effectively extract the characteristic frequencies from a highly non-stationary signal, and the overshoots and the undershoots may become a common phenomenon during the decomposition process. In order to solve the problem, we presents the piecewise linear fractal interpolation as the spline interpolating. Finally, we will use the simulation signal to verify the effectiveness of the improved EMD.
Application of Combined Matlab and VB Model in Water Pollution Control Planning
Authors: Zhu Chang Jun , Wu Li Ping , Li Sha
Published: June 2010

In order to visualize the water control planning, optimization of Matlab is embeded into VB programe. Friendly man-machine interface can easily realize the integration of data analysis and water pollution control optimization which can form the visualization software related to water pollution control programs. Examples are shown that combination of the two programmes can greatly enhance the grade and accuracy of planning to improve the work efficiency. The potential applications of the combination of VB and Matlab are discussed in final discussion.
Ultrasonic Data Transmission via Wireless USB Technology
Authors: Chen Xiao
Published: June 2010

For high-speed data acquisition and real-time transmission and processing requirements of ultrasonic measurement system, a wireless USB-based ultrasonic data transmission method was presented, combining wireless communication technology with the advantages of USB interface technology. The system consists of ultrasonic signal acquisition module, data transmission module, data acquisition module and the computer. The system uses Cypress Semiconductor's PSoC CYRF69213 chip for wireless data transmission and the chip microcomputer inside as the main control unit. This chip recorded data to the computer and displayed through USB interface. The system is a single-chip USB interface design with very few external components. The system has an USB interface advantages such supporting hot-swappable, plug and play features and the realization of wireless transmission of data without the need for layout of communications cables. The transmission system has good stability, small size, low power, high-performance features, which has a good application prospects.
Community Intelligent Heat Meter and Remote Meter Reading System Design
Authors: Wang Qing Dong , Wei Jian Feng
Published: June 2010

For heat supply department and users, traditional charging methods have many drawbacks, of them, heat metering and billing is a prominent problem that needs to be solved. In management administration, the difficulty of metering and charging in heat supply department is becoming increasingly prominent. In this design, ultrasonic heat meter is used to meter heat, the acquired heat data will be transported to data collection node via wireless transmission network the node then connect with internet via the interface thus the remote metering system is finally constituted, all heat meters are linked to form a computer dynamic monitoring network, the monitoring center monitors heat meters according to real-time data transported by the dynamic monitoring network. As a result, informatization and intellectualization can be achieved in heat metering and charging.
The Intelligent Care System for Cardiac Patient
Authors: Wang Ping
Published: June 2010

The paper introduces a real-time monitoring system for cardiac patient, the system is made up of three main sub-systems: patient physical states data acquisition system based on wireless sensors, wireless communication system and hospital monitoring and control centre. The patient physical states data acquisition system monitors the main physical parameters and movement status continuously. The information from data acquisition system is sent to hospital monitoring centre by wireless communication system. The monitoring centre receives the information from each patient and save them to database, then judge the state of patient by Dempster-Shafer evidence theory. The data from patient can be displayed as graph on computer screen if it is necessary, and then the doctor can diagnose the patient according to the continuous data.
Multi-Bit DCSK System Performance Analysis in Multipath Channel
Authors: Li Hui , Zhang Pei Ling
Published: June 2010

In order to improve DCSK scheme’s efficiency and robust in multipath channel, a novel multi-bit DCSK system was put forward. The system’s each bit is added to some protecting time space. A number of bits are composed to a frame and differential scheme are adopted in conjoint bits. In the multipath channel the system’s BER was obtained in theory. The results show that compared to DCSK system, it has higher transmission efficiency. It can overcome intra-symbol and inter-symbol interferences induced by multipath effect and capture more multipath energy.
Study of Control Chaos by Resonant Parametric Perturbation in H Bridge Converter
Authors: Jiang Wei , Zhou Yu Fei , Chen Jun Ning
Published: June 2010

This paper introduces the phenomenon of nonlinear chaos of the peak current mode to control H bridge converter that has been known to become chaos for wide parameter variations after simulating to the model of H bridge converter. The natural reason of nonlinear phenomena can be explained by theoretical analysis. According to the characteristics of H bridge converter, resonant parametric perturbation was provided to suppress chaotic behavior of the converter and made the system changing from chaos to stable period. It is an effective non-feedback method for controlling chaos and it is such a suitable control method for controlling chaos in non-autonomous systems. Selecting the best perturbation phase to achieve the best chaos control results can optimize the method of resonant parametric perturbation. The control method suppresses chaos with high efficiency and it can provide theoretical basis for stability design of H bridge converter.