bluuebunny/crossref_metadata_2025 huggingface dataset:
Research in Surface-Wave Sustained Plasma Fluorescent Lamps
Authors: Li Jian , Wang Kun
Published: September 2013

A cylindrical fluorescent lamp driven by a surface-wave sustained plasma (SWP) generator designed in our lab is researched. A technique to diagnose the SWP plasma column is introduced. Principal physical properties, ion density and electron temperature and the luminance of a fluorescent lamp were studied. Influence factors of luminance such as the microwave power, the gas pressure were studied. The radial distribution of luminance and ion density was also researched. The results show the SWP column is able to generate plasma of about 3ev electron temperature and 1017 m-3 ion density. It is found that the luminance at 200 mm above the base can be about 8000 cd/m2. The luminance changes with the microwave power and the pressure.
Scheduling of Periodic Tasks with Data Dependency on Multiprocessors
Authors: Wang Jin Lin
Published: September 2013

This article studies the scheduling problem of a set of tasks with time or data constraints on a number of identical processors with full connections. We present an algorithm, in which a set of static schedule lists can be obtained, each for a processor, such that each task starts executing after its release time and completes its computation before its deadline, and all the precedence relations between tasks resulting from data dependency are satisfied. The data dependency relations between tasks are represented by Synchronous Dataflow Graphs (SDF) as they can indicate tasks concurrency and enable effective scheduling on multiprocessor platforms. The SDF, however, does not support the time constraints of tasks directly, thus an adaption is applied to conform to the time limits. With this adaption, the periodic tasks of implicit-deadline or constrained-deadline can be scheduled on multiprocessor platform effectively.
The Control of the Modified Meter of Flight Equipments
Authors: Song Hui Ying , Chen Lei , Li Xiao Qiang , Ni Ping Tao
Published: September 2013

This article is to do a research for flight simulation modified meter, to design a basic control circuit of stepping-motor modified meter, to control the signal supplied by PIC MCU, and get to the result of clockwise and anti-clockwise rotation, speed regulation, reversion to zero position of index and other controls. The control request can be achieved as a real modified meter after the improvement under the foundation of the basic control circuit.
A Retrieval Sorting Approach for Online Forums Based on Domain Topics
Authors: Zhang Yu Yan
Published: September 2013

Topical search engine is an extension of general-purpose search engines, which has become an important research subject in Web information retrieval recently. Focusing on the development of Web 2.0 applications, a result ranking approach is proposed on the basis of LDA model to rank the search results from Web forums. Compared with traditional methods, this approach takes up less storage space, and can more quickly and accurately respond to user inquiries. This work has important significance for the research of improving the performance of retrieval results of web forums.
A π-Calculus-Based Complaint Model for a User-Interactive Question Answering System
Authors: Li Yan Cheng , Duan Hua , Zeng Qing Tian , Lu Fa Ming
Published: September 2013

User-interactive question answering systems are catching more and more attention, however users complaints arise within it from such problems as unfair compensation. This paper focuses on a π-calculus-based formal model for the complaint process of a user-interactive question answering system. The formal model is verified by employing MWB tools so as to demonstrate the deadlock-free and other properties. The research results are of special significance to the comprehensive formal analysis of the user-interactive question answering systems.
Research on DB2 Performance Testing Automation
Authors: Zhuang Lei , Gao Zhen , Wu Hao , Yang Chun Xin , Zheng Miao
Published: September 2013

Software testing play a significant role in modern software development and maintenance process, which is also an important means to ensure software reliability and improve software quality. With the continuous improvement of quality requirements of the software products and software engineering technology become more sophisticated, software testing has been participating into every phase of software lift cycle, become more and more important in software development and maintenance. DB2 Performance testing consists of four parts, which are environment setup, workload run, data measurement and environment clean up. Before all the operations are done manually and need about two hours continuous attention. Whats worse, even three times a day. This mechanical and complicated procedure is clearly unacceptable. This paper put forward a reusable automated testing framework based on IBM automated testing tools RFT to achieve the whole testing procedure automation. It reduces the count of human-computer interaction and greatly improves the efficiency of DB2 performance testing.
Runtime-Based Behavior Dynamic Analysis System for Android Malware Detection
Authors: Min Luo Xu , Cao Qing Hua
Published: September 2013

The most serious threats for Android users is come from application, However, the market lack a mechanism to validate whether these applications are malware or not. So, malware maybe leak users private information, malicious deductions for send premium SMS, get root privilege of the Android system and so on. In the traditional method of malware detection, signature is the only basis. It is far enough. In this paper, we propose a runtime-based behavior dynamic analysis for Android malware detection. The new scheme can be implemented as a system. We analyze 350 applications come from third-party Android market, the result show that our system can effectively detect unknown malware and the malicious behavior of malware.
Application of Link Prediction in Temporal Networks
Authors: Xu Hai Hang , Zhang Li Jun
Published: September 2013

Link prediction is an important research hotspot in complex networks.Correlational studies merely use static topology for prediction, without considering the influence of network dynamic evolutionary process on link prediction. We believe that the linksare derived from the evolutionary process of network, and dynamic network topology will contain more information, Moreover, many networks have time attribute naturally, which is apt to combine the similarity of time and structure for link prediction. The paper proposes the concept of active factor using time attribute, to extend the similaritybased link prediction framework.Thenmodeland analysis the data of citation network and cooperation network with temporal networks.Design the active factors for both network sand verify the performance of these new indexes. The results shows that the indexes with active factor perform better than structure similarity based indexes.
An Interactive Distribution Network Reconfiguration Method in GridLAB-D/MATLAB Environment
Authors: Wang Xu Qiang , Zeng Yuan , Zhang Hao Ran , Liu Guang Yi , Yang Zhan Yong
Published: September 2013

Optimal operation of distribution network is widely concerned in recent years. As an important part of optimal operation, the reconfiguration of distribution network is a focus of research. This paper proposes an interactive reconfiguration algorithm of distribution network based on GridLAB-D and uses a typical feeder sample to illustrate the effectiveness of this algorithm.
A Book Positioning System Based on Wi-Fi and RFID Technology
Authors: Li Lu , Wu Kai Jun
Published: September 2013

A book positioning system is designed based on WI-FI and RFID technology, and the regional search program is proposed. Readers or administrators can locate the desired books by the terminal equipments such as mobile phones, ipad and so on. The system displays the positioning information in the form of picture on the terminal equipment, so that user can find the book quickly. It improves the efficiency of the call, and completely solves the problem that if one book is misplaced, hundreds of people cannot find it.
Target Tracking Based Adaptive Particle Filter in Binary Wireless Sensor Networks
Authors: Su Ling Dong , Zhai Ming Yue , Zhu Zhi Yu
Published: September 2013

Since real-time and communication amount is crucial for the wireless sensor network target tracking, the performance of target tracking in the wireless sensor network is critically depended on real-time and communication amount reduction. This paper presents a target tracking method based on distributed adaptive particle filtering in binary wireless sensor network. Based on dynamic clustering, the adaptive particle filter receives the observations from children nodes and formulates the local estimate with the cluster head as the processing center. Simulation results show that the method can effectively improve the real-time tracking and reduce communication amount.
The Application of Electronic Map in Wireless Positioning System
Authors: Wang Qing Hui , Wang Wen Zhou , Li Dan , Chang Lei
Published: September 2013

By using powerful secondary development tool MapXtreme and combining .NET development platform, Web Geographic Information System (WebGIS) used for the monitoring of the indoor personnel is designed. The system could display real-time location of the indoor personnel on the electronic map through getting the coordinates and other data measured by wireless positioning system combined with map matching. This system follows the browser/server mode (B/S mode), thus the visitors can easily access simply by the browser without the need of installing other application software.
Study on the Agricultural Internet of Things Key Technology of the Intelligent Control of Sunlight Greenhouse Complex System
Authors: Zheng Bi Geng
Published: September 2013

With the development of computer and biological sciences and information technology, the Internet of things (IOT) technology has been successfully applied to agricultural fields. Twenty-first Centuries is the times that science and technology are rapidly developed. The realization of agricultural modernization and integrated management is the urgently problem needed to be solved for modern agricultural technology. In this background, this paper puts forwards the key technology and existing problems of sunlight greenhouse complex system and intelligent IOT control system through the study of identified collecting and processing process of sunlight greenhouse temperature multi-nodes big system. The paper builds parameters mathematical model for the IOT bearing capacity from four aspects, such as, the occupied bandwidth, delay characteristics of the network, packet loss rate and power consumption, and uses MCU signal amplification system and a signal sensor to jointly control the temperature effect of sunlight greenhouse. Eventually, it finds that the occupied bandwidth of intelligent system has reached 35kb, the highest network delay has reached 20s, and the maximum of packet loss rate has reached 2.5%, which proves that the IOT characteristics of intelligent systems have more controlling complexity than that of the local system.
Research on the Application of 3G Robotic Welding Guns to the Welding of Body-in-White Based on Delmia
Authors: Liu Lei , Dai Huai Chu , Lin Ju Guang
Published: September 2013

3G welding gun is a new kind of welding guns which uses servo motor as the driving device. And it is of modularity, simplicity, robustness and high performance and has obvious advantages compared with traditional welding guns. This paper exploited robot payload check program to make comparison of the differences between OBARA welding guns and 3G welding guns. The results verified the advantages of 3G welding guns. A case study to the application of 3G welding guns to the body side was conducted, and Delmia, a 3D platform for robotic simulation and OLP, was used to create the robot welding programs. Finally, the timing chart of welding process by means of 3G welding guns was analyzed.
Design and Implementation of Linux PCIe Driver Based on FPGA
Authors: Yin Zhi Jian , Zhang Hao , Liu Qi
Published: September 2013

This paper explains in detail design and implementation of PCIe driver in Linux operating system, First of all, it introduces briefly characteristics of PCIe bus; secondly, it gives a detailed analysis of how to write PCIe bus driver and how to write PCIe device driver of virtex5 series FPGA development board; finally, a test program is wrote in the application layer to verify correctness and stability of PCIe driver.
Study and Design of Feedrate Scheme in CNC Interpolation
Authors: Zhu Hao , Liu Jing Nan , Yang An Kang , Wang Mu Lan
Published: September 2013

In this paper, the usual feedrate control methods are introduced. The characters of them are analyzed. The shortcomings such as the discontinuity of acceleration and jerk in these methods will influence the accuracy of CNC. In order to overcome the weaknesses, a novel feedrate scheme based on fractional power polynomial is proposed. The constraint condition is discussed. The jerk-time curves, acceleration-time curves feedrate-time curves are contrasted. The simulation result shows that this feedrate scheme can fulfill the requirements of high-speed and high-accuracy through the interpolation process.
Neural Network Pattern Recognition and its Application
Authors: Xu Hao , Lai Jin Gang , Liu Jiao Yu , Cao Neng , Zhao Juan
Published: September 2013

many functions are possessed by the neural network such as parallel processing, self-learning and self-adapting. It could approximate any nonlinear function with any precision. A very effective way is provided by the neural network to deal with complex control problems, such as nonlinear, multivariable and uncertain ones etc. Therefore, the neural network is widely used in many aspects: pattern recognition, system identification and control fields and so on.It is developed in the paper about the application of neural networks pattern recognition and system identification. With MATLAB 6.1 and Visual Basic 6.0 design platform and developing tool, for some application instances, implement modeling, simulation and systematic test tasks of the neural networks pattern recognition and system identification. The above research and instances indicate that the neural networks pattern recognition and system identification based on MATLAB have better application prospects.
Development of 3G Smart Meter System Based on Internet of Things
Authors: Lan Ji Ming , Fu Chang You , Ju Jin Wu
Published: September 2013

As a tool for energy metering, electric meter is the function integration base of smart grid. Traditional mechanical meters and ordinary electronic meters havent met the needs of the modern smart grid. In this paper, a novel smart meter system based on 3G is proposed. This 3G smart meter system is integrated of some new technologies, such as effective energy metering, embedded MCU, 3G wireless communication & Database management. The constitution of system and the hardware and software design have been introduced in detail in this paper. The experiment shows that some real-time energy measurement parameters have been provided to power users by the 3G smart meter system, and the two-way wireless data communication between power users and power corporations has been accomplished effectively. Furthermore the management level of power corporations has been promoted.
The Application of Rank Related Coefficient
Authors: Zhao Jun Chen , Hui Zhen Shi
Published: September 2013

In mathematical statistics, the product moment related coefficient is used to estimate or to test the population related coefficient. And in this paper the method of using the rank related coefficient to estimate or to test the population correlation coefficient is presented.
The Realization of Virtual Computer Equipment Experiment Based on VRML
Authors: Ye Qi Hong
Published: September 2013

Experiment is one of the important steps in education. In the course of Computer Equipment Experiment,because the frequent disassembly and assembly is easy to damage the computer. The VRML technology can construct virtual scenes and realize the interactions between users and virtual scenes, users can skim over and interact with the virtual scenes. Technology of virtual reality can simulate computer equipment experiment and to resolve these problems.The article introduces the design and realization of virtual computer equipment experiment established on the basis of VRML technology,then specify the common technique of optimizing application. The function of simulated experiment with the character of appropriate human-computer interactivity was realized, the result achieves the goals of teaching.
Research on Natural Disaster Risk Assessment Index System for Power Grid
Authors: Yang Guo Feng , Zhao Jia Kui , Li Ting Shun , Zhou Jing
Published: September 2013

Recently the power grid at home and abroad are faced with the challenge of natural disasters, to guarantee the safe and stable operation of power grid is the key. In this paper, through the grid risk identification and vulnerability analysis, the degrees of power grid risk in different regions are presented. According to index selection principle, natural disaster risk assessment index system for power grid is put forward. The interpretation of the indexes are made. It provides a theoretical support for natural disaster risk assessment for power grid in the future.
QBARM: A Queue Theory-Based Adaptive Resource Usage Model
Authors: Shang Shi Feng , Huo Jing He , Zhang Zeng
Published: September 2013

Workflow is becoming a more and more important tool for business operations, scientific research and engineering. Cloud computing provides an elastic, on-demand and high cost-efficient resource allocation model for workflow executions. During workflow execution, the load will change from time to time and therefore, it becomes an interesting topic to optimize resource utilization of workflows in the cloud computing environment. In this paper, a workflow framework is proposed that can adaptively use cloud resources. In detail, after users specify the desired goal to achieve, the proposed workflow framework then monitors the workflow execution, and utilizes different pricing models to acquire cloud resources according to the change of workflow load. In this way, the cost of workflow execution is reduced.
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The Analysis for Semi-Active Control Application in the MSCSS Subjected to Seismic Excitation
Authors: Wu Hao , Zhang Xun An , Cai Ting
Published: September 2013

This Paper focuses on the semi-active control application in the Mega-Sub Controlled Structure System (MSCSS) subjected to seismic excitation. The semi-active control devices, which are installed in the MSCSS between the mega-structure and sub-structure, were designed by using fuzzy neural network, and those semi-active control rules were optimized to enhance the control efficiency by using the genetic algorithm. A semi-active control problem of the MSCSS subjected to seismic excitation was investigated, the time history analyses under different seismic excitation, which like El Centro seismic wave and Taft seismic wave, were performed by using MATLAB. The calculation results demonstrate that the semi-active control combining the fuzzy neural network and genetic algorithm can clearly enhances the seismic performance of the MSCSS and it also provides an improved reduction in the dynamic response when compared to the passive control scheme.
Mathematic Description of the Spiral Wooden Staircase Handrail Elbow
Authors: Xia Guang Lan , Ma Yan , Jiang Yong Cheng , Yu Feng , Ding Hai Juan
Published: September 2013

By analyzing the spiral wooden staircase handrail elbow, a design scheme of its CNC machining equipment was established. The mathematics description equations for the space outline curve centerline of spiral wooden staircase handrail elbow were set up, and then the UG software was used for simulation verification. Simulation results show that the mathematics description equations has good versatility and practicality, which lay a theoretical foundation for the integrated CAD/CAM CNC machining method research on the spiral wooden staircase handrail elbow.
A Deep Web Data Extraction and Application System Based on Cloud Technology
Authors: Han Zi Yang , Wang Feng Ying , Sun Ping , Li Zheng Yu
Published: September 2013

There are so many Deep Webs in Internet, which contains a large amount of valuable data, This paper proposes a Deep Web data extraction and service system based on the principle of cloud technology. We adopt a kind of multi-node parallel computing system structure and design a task scheduling algorithm in the data extraction process, in above foundation, balance the task load of among nodes to accomplish data extraction rapidly; The experimental results show that cloud parallel computing and dispersed network resources are used to extract data in Deep Web system is valid and improves the data extraction efficiency of Deep Web and service quality.
Research on Organization Tacit Knowledge Transferring: An Evolutionary Game Theoretic Analysis
Authors: Li Dan
Published: September 2013

The transfer and the management of the tacit knowledge is one of the most important issues in the knowledge transferring context to create organizational competitive advantage in the fast growing competitive world. As we know, organization tacit knowledge transferring is a dynamic game process, this research applies evolutionary game theory to analyze the tacit knowledge transferring activities among organizations and the stability balance issue in organization knowledge transferring. Based on the theory of games, this paper constructs the evolutionary game process model for organization tacit knowledge transferring. And through the equilibrium point of the model, the different knowledge transferring bodies game replicated dynamics and stability are analyzed. With this model, the reason why tacit knowledge is hard to be transferred and the path of tacit knowledge transferring is analyzed.
Mining Closed Weighed Frequent Patterns from a Sliding Window over Data Stream
Authors: Ge Cui Cui , Fu Xiu Fen
Published: September 2013

Weighted frequent pattern mining address to discover more important frequent pattern by considering different weights of every item, closed frequent pattern mining can significantly reduce the number of frequent itemset mining and keep sufficient result information. In this paper,we proposed an algorithm DS_CRWF to mine closed weighted frequent pattern over data stream,which is based on sliding window and take basic window as unit of updating,all the closed weighted frequent patterns can be mined through once scan.The experimental results show the feasibility of the algorithm.
Design of Control and Monitor System of Foam Cement Mixing Device Based on PLC and MCGS
Authors: Wang C.G. , Sun Q.H. , Wang Z.M. , Qi Y.J.
Published: September 2013

Control and monitor system of foamed cement mixing device are designed based on PLC and MCGS(Monitor and Control Generated System) configuration software, it realizes data collection and dynamic monitoring, data processing. Through the control system, it achieves automatic control to foamed cement mixing device. Experiments show the system has advantanges of high precision, reliability and good maintain.
Convergence of the Preconditioned AOR Method for an H-Matrix
Authors: Liu Jie Jing
Published: September 2013

Linear system with H-matrix often appears in a wide variety of areas and is studied by many numerical researchers. In order to improve the convergence rates of iterative method solving the linear system whose coefficient matrix is an H-matrix. In this paper, a preconditioned AOR iterative method with a multi-parameters preconditioner with a general upper triangular matrix is proposed. In addition, the convergence of the coressponding iterative method are established. Lastly, we provide numerical experiments to illustrate the theoretical results.
The Improved Genetic Algorithms Apply on Parameter Estimation of Two Parameters Logistic Model on Item Response Theory
Authors: Du Peng Dong , Chu Yan Hua
Published: September 2013

Based on the item response theory 2PLM parameter estimation method and genetic algorithm in Detailed exploration, put forward a kind of 2PLM based on genetic algorithm parameter estimation method, and the corresponding algorithm program for different item parameter estimation. On the basis of genetic coding, genetic analysis and reference, proposed to the operators of genetic improvement strategy and algorithm to accelerate the convergence of strategy, wove algorithm verification procedures and foreign popular BILOG software were compared, the results showed that, in a certain range of error, the proposed algorithm can converge to the optimal solution.
A Research on Genetic Algorithms Based on Test Paper Composition of Item Response Theory
Authors: Sun Tao , Chu Yan Hua
Published: September 2013

Along with the computer technology in the examination of the application, the examination has become a hot topic. However, test paper is an important part of the adaptive test. According to the test generation of the objectives and requirements, this paper introduces a method based on item response theory ( IRT ) thought of genetic algorithm in the test application, thereby effectively solving the problem of intelligent test paper.
Fuzzy Comprehensive Evaluation Based on Set Pair Analysis of the Rural Power Grid Planning Project
Authors: Qi Jian Xun , Liu Shu Liang , Wang Juan Li
Published: September 2013

On the basis of discussing the basic features of rural power grid planning project and the status quo, this paper has constructed evaluation index system of the rural power grid planning project, and based on the characteristics of its particularity and indicators, established a fuzzy comprehensive evaluation model based on set pair analysis. It has carried on the comprehensive evaluation to some county in power grid planning project to verify the validity of the selected method. It will provide referential basis for the scientific decision of county power enterprises.
Improvements Based on the IPSec VPN Secuirity
Authors: Fan Ya Qin , Lv Ling , Liu Mei Lin , Xie Fei
Published: September 2013

In this paper, through specific description of the concept of virtual private network VPN, operating principles and the IPSec protocol, and using the OPNET software for performance simulation of IPSec VPN network, we get the result of IPSec VPN throughput of the network, which is unstable. o though IPSec VPN has improved the safety performance of data transmission, it at the same time affects the transmission efficiency. By analyzing the problems of IPSec VPN, in terms of improving safety performance, the combination of PKI and IPSec VPN program was proposed. Theoretical analysis shows that such program can indeed solve the problem of authentication imperfect, thus improving the safety performance of the network.
On Transformation from the Thesaurus into Domain Ontology
Authors: Li Ping , Li Yong
Published: September 2013

In order to reduce the workload of constructing domain ontology, this paper proposes a transformation method from thesaurus into domain ontology. We can take building the cereal crops domain ontology as an example to detail narrative of the process of the transformation and to prove the effectiveness of the ontology construction method.
A Constructive Heuristic for Two-Dimensional Bin Packing
Authors: Wang Bo Han , Liu Jia Min , Yue Yong , Keech Malcolm
Published: September 2013

Two-dimensional bin packing is encountered in various applications where small rectangular items are packed into a minimum number of large rectangular objects (bins). Aiming at an optimal area utilization, the paper presents an effective constructive heuristic approach to two-dimensional bin packing. The heuristic approach integrates ranking, placement and search strategies along with an effective handling method of the remaining areas during the packing process. In order to obtain an optimal arrangement in a given area, all items are examined for possible positions and orientations using the search strategies. In addition, an effective handling method of the remaining areas is applied through appropriate partitioning and merging to minimize waste areas. Tests with a number of standard test and real world instances have shown that the performance of the proposed approach is superior to that of other approaches published.
The Neural Network Control Algorithm Research of Straight Pull Single Crystal Furnace
Authors: Li Ming Yu , Meng Hua , Zhao Jie , Xue Zeng Tao , Zhang Ying
Published: September 2013

In straight pull single crystal furnaces pulling system, Traditional PID controllers parameter cant meet the changes of the DC motor system. In view of this defect that the traditional PID controller parameter can not turn in a timely manner with the DC motor speed change. This paper used a new control method PID neural network to the monocrystalline pulling speed control system and established PID neural network pulling system, at any time to adjust to the optimal PID parameters, to achieve an adaptive control effect and improve the quality of monocrystalline silicon.
Modelling and Analysis of River Networks Based on Complex Networks Theory
Authors: Wu Xue Wen , Li Ling , Qu Yong Gang
Published: September 2013

River systems are open and self-organizing complex systems. Complex networks theory can well combine rivers' macro properties with their microscopic properties. This paper builds a river network model based on complex networks theory and describes its characteristics. After the analysis of the model used in Haihe River Basin, it shows that Haihe River Basin network has the small-world characteristics. This work provides a new approach to research the properties of river networks, so that to predict and control its behavior.
A Research of Network Congestion Pricing Mechanism in TCP Connection Based on Utility Model
Authors: Hu Ling Yi
Published: September 2013

Network externality is a vital characteristic of the products in economics of networks. Network congestion will lead to negative network externality when digital products are communicated in the net. It will effectively decrease the negative network externality via developing a suitable pricing mechanism. This paper begins with the utility of a single user and that of the whole network to build a network congestion utility model to analyze it. As TCP connection has an autonomous congestion-detecting mechanism which can increase the utilization of network resources, we regard the TCP connection pricing as the basis of our research.
A Genetic Algorithm for Solving Knapsack Problems Based on Adaptive Evolution in Dual Population
Authors: Yan Tai Shan , Guo Guan Qi , Li Hong Min , He Wei
Published: September 2013

In order to solve knapsack problems efficiently, an improved genetic algorithm based on adaptive evolution in dual population (called DPAGA) is proposed. In DPAGA, the new population produced by selecting operation is regarded as main population. The population composed by the individuals washed out by selecting operation is regarded as subordinate population. The individual evolution strategy of main population is different from that of subordinate population. The crossover operators and mutation operators are all adjusted non-linearly and adaptively. DPAGA is used to solve knapsack problems. The experimental results show that its convergence speed and solution quality are all better then that of simple genetic algorithm. It is also suited to solve other optimization problems.
The Recognition and Research of Improved Probabilistic Neural Network
Authors: Shang Xiao Jing
Published: September 2013

Probabilistic neural network compared with the traditional BP neural network structure is simpler and it is faster to be identificated, so it is widely used in the field of pattern recognition. This paper is mainly focused on similar gesture recognition research, propose an probabilistic neural network gesture recognition algorithm. The simulation results show that the improved probabilistic neural network algorithm on the recognition rate and training time is better than the traditional BP network.
Hopf Bifurcation Analysis of a Three-Stage-Structured Prey-Predator System with Multi-Delays
Authors: Li Shun Yi , Liu Wen Wu
Published: September 2013

A three-stage-structured prey-predator model with multi-delays is considered. The characteristic equations and local stability of the equilibrium are analyzed, and the conditions for the positive equilibrium occurring Hopf bifurcation are obtained by applying the theorem of Hopf bifurcation. Finally, numerical examples and brief conclusion are given.
Teaching Agent Model Construction Based on Web Cooperative Learning System
Authors: Li Yao Lin , Zhong Yan Hua , Zhang Zong Fu
Published: September 2013

The research tries to solve the problems related to teaching agent technology in cooperative learning system. Aiming at the fact of present learning system being unable to realize real-time intelligent teaching for students, a creative idea of teaching agent mode based on web cooperative learning system is put forward after studying the technology of student agents reasoning algorithm, learning path agent, and teacher agents. This mode may help to realize self-adaption teaching in cooperation center on digital campus. Besides, it provides new ideas or methods of internal demands for establishing web cooperative learning center. Fact shows that teaching agent can improve teaching effect and quality through individualizing the teaching materials and attracting the students.
The Optimal Robust Portfolio Model Based on CDaR
Authors: Yu Xing
Published: September 2013

This paper proposed a robust portfolio model, using CDaR to measure portfolio risk. Due to uncertainty parameter, we constructed ellipsoidal uncertainty set as the parameters uncertainty set to maximize the portfolio return. We verified the operable of the model with numerical simulation. The result shows that the risk is higher compared to without robust case, which is helpful to cautious investment for investors.
Improving Iterative Retinex Algorithm for Dynamic Range Compression
Authors: Pan Sheng Dong , An Xiang Jing , Xue Hong Tao , He Han Gen
Published: September 2013

In this paper, the iterative Retinex algorithm is improved to handle dynamic range compression problems. Based on the analysis of the McCann-Sobel algorithm, the iterative smoothing operation can be interpreted as an asymmetric diffusion. In order to characterized the sharp discontinuities in illumination, an edge-stopping function is introduced into the iterative procedure, which is inspired by anisotropic diffusion. Using the improved illumination estimator, dynamic range of images can be arbitrarily manipulated while suppressing undesirable artifacts. Experiments show that the proposed algorithms outperforms several derivatives for dynamic range compression based on the iterative Retinex.
Multiple Targets Operation of Reservoir Group in Flood-Season in the Yangtze River
Authors: Li An Qiang , He Xiao Cong
Published: September 2013

China has built many reservoirs in the Yangtze River. Those reservoirs play an important role in flood control, electricity generation and shipping. But it is difficult to operation reservoir group reasonably because the comprehensive utilization demand. Especially in flood-season, there are usually many different targets to be considered. This paper researched the multiple targets operation of reservoir group in flood-season in the Yangtze River by multi-objective evaluation method. Three reservoir group operation schemes were selected to be compared. The results show that scheme three is the best scheme which has the highest evaluation value. The method this paper proposed is effective in comparing and selecting schemes in flood control management.
An Interest Management in Large-Scale Analytic Simulation
Authors: Yang Mei , Zhao Xin Ye , Zhou Yun , Cai Ying
Published: September 2013

Using interest management, a lot of irrelevant dada can be reduced during transmission from the publishers to subscribers. This paper proposes to examine this question with the aim of efficiency and scalability of the transmission on how to design a spatial-based approach which combines dynamic quad-tree and sort list, and predicate logic-based approach in large-scale analytic simulation. For analytic simulation of military operation, the interests regions of the spatial entities are formulated as circles or rectangles, and how to predict the entry time and exit time of the regions is studied in detail.
The Modified Mortality Decomposition Model and its Application in the China Longevity Risk Analysis
Authors: Zhang Ning
Published: September 2013

the paper made an adjustment on the mortality decomposition model which was first proposed by the author. The mortality data can be processed by the classical wavelet and HHT methods. Compared with the classical mortality analyzing method, more information about longevity risk can be captured by the adjusted mortality decomposition. As a new development, the adjusted mortality decomposition is more effective for the short data set like China. Also the paper gave a modified form of longevity risk index which is different from that the author introduced in another paper. The new modified index is more suitable for China. Based on the adjusted decomposition of mortality rate data and modified longevity risk index, the paper gave their application and detailed analysis on China longevity risk. The important result of different provinces is also given.
The Improvement of Fruit Fly Optimization Algorithm-Using Bivariable Function as Example
Authors: Xu Fu Qiang , Tao You Tian
Published: September 2013

Optimization problems are always the hot issues in various research fields. The aim of this paper is to find the optimal value of the bivariable nonlinear function by means of the improved fruit fly optimization algorithm (G-FOA). Some better results are obtained. Compared with other algorithms, G-FOA is concise, can quickly find the global optimum with the high accuracy and without falling into local extremum. These advantages make the algorithm has good robustness and applicability.
Sub-Topic Segmentation in Multi-Document
Authors: Yun Xiao Yan , Teng Wei
Published: September 2013

The similar sentences in multi-document set are combined into one class, and each class is one sub-topic. Describing the sub-topics from the perspective of understanding makes the multi-document summarization become the one with greater coverage and less redundancy. This paper presents a sub-topic segmentation method based on maximum tree algorithm. And based on sentences similarity matrix, maximum tree is calculated, as well as the sub-topic segmentation is realized through the analysis of the different communities for the sub-topic. The experiment shows that the method achieves the desired result.
Study of Performance Equivalent Simplification Analysis and Application of Stochastic Petri Nets
Authors: Qi Da Bin , Li Qiu Ju
Published: September 2013

State spaces of Stochastic Petri Nets (SPN) are exponent explosion based on subordinate models quantities, it is feasible to solve state space explosion. This article introduces basic theories of SPN performance equivalence simplification, integrates the real workflow of sanction management, constructs workflow model based on SPN comparatively, further more, simplifies the model by equivalence simplification theories, reduces models complexity, solves the model performance quantity analysis effective.
Implementation of TCP/NC Protocol Simulation Based on OMNET++
Authors: Zhang Hong Yun , Yu Wan Rong , Wu Chun Qing , Wang Miao , Xu Xiao Ping
Published: September 2013

TCP protocol has an awful performance in the wireless network because of the instability, high BER and long RTT of the wireless link. How to make wireless transmission more reliable and efficient has become a hot topic among relative researches. TCP/NC is a recently proposed protocol based on network coding and capable of achieving much higher throughput than TCP over lossy wireless Links. In this paper, network coding and TCP/NC are outlined firstly. And then simulation realization of TCP/NC protocol in OMNET++ is described. The performance evaluation of TCP/NC is conducted in OMNET++. The results show that TCP/NC offers significant better performance than TCP without affecting the fairness of data flow.
Geometric Pseudospectral Method on Lie Group with Application to 3D Pendulum
Authors: Li Jie , An Hong Lei , Gu Xue Qiang , Xue Hong Tao
Published: September 2013

General pseudospectral method is extended to Lie group by virtue of equivariant map for solving rigid dynamics on Lie group. In particular, for the problem of structural characteristics of the dynamics system can not be conserved by using general pseudospectral method directly on Lie group, the differential equation evolving on the Lie group is transformed to an equivalent differential equation evolving on a Lie algebra on which general pseudospectral method is used, so that the numerical flow of rigid body dynamics is ensured to stay on Lie group. Furthermore, structural conservativeness and numerical stabilities of this method are validated and analyzed by simulation on a 3D pendulum in comparison with using pseudospectral method directly on Lie group.
Regular (ϵ,ϵνqk) - Fuzzy Duo Ordered Semigroups
Authors: Cheng Qi , Yuan Feng Lian , Yin Yun Qiang , Chen Qing Yan
Published: September 2013

In this paper, the ideal of quasi-coincidence of a fuzzy point with a fuzzy set is generalized and the concept of an - fuzzy ideal (bi-ideal, quasi-ideal) of an ordered semigroup is introduced. The the notion of - fuzzy duo ordered semigroups is introduced and some characterization theorems are presented in terms of - fuzzy ideals.
Static Voltage Stability Margin Calculation for the Microgrid Based on Immune Algorithm
Authors: Zhang Ming Guang , Zhang Zhong
Published: September 2013

To the questions of approaching degree between operating point and collapse point, and operating mechanism in the instability, the main method to analyze power system is often the calculation of static voltage stability index. In this paper, a method of microgrid static voltage stability margin based on immune algorithm is proposed. Compared with traditional method, the method not only can search for the global optimal solution effectively, but also deal with discrete variables in the system; meanwhile, complex node of the microgrid is considered entirely .The simulation results confirm that the method is more reasonable and effective for microgrid static voltage stability margin.
Related Parameters Analysis in Vehicle Side Pole Impact
Authors: Zhu Hai Tao , Liu Lei , Chen Qiang , Zhang Zhen Ding
Published: September 2013

Passenger can be caused serious injury in vehicle side pole impact. Through China In-Depth Accident study (CIDAS) ,We extract some important parameters and carry on targeted research in side pole impact accident. Accident data show that: The method with vehicle lateral strike a diameter of 200mm ~ 300mm pole in the direction of 8 ~ 11 points and in the speed of less than 40km/h is in accordance with the Chinese actual accident situation. Research results show that: The important parameters of pole diameter, impact velocity, impact angle and impact point position within the CIDAS data range, The collision velocity has large effect on body structure, the collision point position and pole diameter has very little effect.The results are helpful for us to further understand the special side impact form.
Prediction of Surface Ship's Residual Resistance Coefficient Using Neural Networks
Authors: Song Li Hua , Zhang Zhi Guo , Wang Xian Zhou , Feng Da Kui
Published: September 2013

The Holtrop method, which provides a prediction of the components of surface ships total resistance, is widely used at ships initial design stage for estimating the resistance. In this paper a neural network model which performs the same role as the Holtrop method is presented to predict the residual resistance. A multilayer perceptron has been trained with the data generated by the Holtrop method to learn the relationship between the input (length-displacement ratio, prismatic coefficient, breadth-draft ratio and Froude number) and the target variable (the residual resistance coefficient). The results of this model have been compared against those provided by the Holtrop method and it is found that the quality of the prediction is improved over the entire range of data. The neural network provides an accurate estimation of the residual resistance with the Froude number and the hull geometry coefficients as variables.
Modeling and Algorithm of Signal Coverage in Deep Space Communications
Authors: Wu Xiao Bo , Zhou Xian Wei , Du Shu Ai , Yang Ying
Published: September 2013

With the increasing demand for deep space exploration, technology of space signal coverage gradually becomes a important research domain in deep space communications. A signal coverage mathematic model was given focused on the characteristics of deep space communications environment especially in celestial body blocking case. An approximation algorithm which used volume measurement in multiple integral is proposed. The approximation algorithm obtained a space covering nodes set based on iteration process in polynomial time0(nm).
Data Sanitization Based on Weaken_Sensitive_Pattern Tree
Authors: Jiang Xue Mei , Xue Da Shen
Published: September 2013

In data sharing, protecting the user's privacy data is very important. This article is based on data sanitization thought, and studies the protection of sensitive information. Then we proposed data sanitization algorithm (the Dpur algorithm), which is based on the weaken_sensitive_pattern tree. The results show that under the influencing of privacy protection factor, Dpur algorithm is superior to the SWA algorithm. When the shared data is the original data set, Dpur algorithm provides more efficient data sanitization.
A Light-Weight Design Method for Vehicle with Welded Structure Based on Surrogate Model
Authors: Gao Yue Hua , Liu Qi Peng , Zhao Wen Zhong
Published: September 2013

In this paper, a multi-disciplinary optimization frame considering weld fatigue constraints is constructed based on kriging surrogate model in order to improve the fatigue reliability of vehicle structures. Under this frame, kriging surrogate model is used to construct weight, strength, stiffness, frequency, fatigue life responses for optimization, which improves effectively the computing efficiency. For weld fatigue analysis, master S-N curve method in AMSE criterion is used for reliable fatigue life. The curb girders of a high-speed train are taken as an example, a light-weight optimization model considering static strengthen and weld fatigue constrains is constructed and solved by use of submodelling technology under the proposed optimization frame. After optimization, the weight of the curb girders is reduced about 33% from 1.73 ton to 1.16 ton. These results show the proposed optimization method is effective, and provide the preference for the light-weight design of high-speed trains.
Collision Detection between Rigid Bodies Based on Adaptive Test Lines
Authors: Shao Xiao Dong , Gao Wei , Liu Huan Lling
Published: September 2013

A novel algorithm, which can check the collision point of rigid objects continuously and solve the problem of penetration and crossing in collision detection effectively, is presented in this paper. At each simulation moment, the adaptive test lines (ATLs) are first constructed based on the velocity vector of the moving object and then the intersection between the ATLs and the environment is calculated. The collision happens when the intersection is not empty and the collision point is obtained through crossing-frame processing. By checking the interference between body and ATLs instead of bodies, we greatly improve the detection efficiency. It avoids missing collisions for an object with arbitrary shape or in any motion states. Simulation results show that our algorithm runs faster than the general continuous collision detection algorithms and has similar detection effects to the swept volume algorithm.