bluuebunny/crossref_metadata_2025 huggingface dataset:
Outdoor Test of Wind-Drifted Snow Distribution around a Cube
Authors: Yan Ke Qin , Zhou Xuan Yi , Gu Ming
Published: June 2010

This paper presents the results of an outdoor investigation of wind-drifted snow distribution around a cube. The test was performed in a simple outdoor wind tunnel at Harbin in January 2009. Velocity distribution around the cube and pressure coefficient on the cube surfaces are also simulated with computational fluid dynamics (CFD). The simulation is based on homogenous two-phase flow theory, where the flow field is predicted by solving Navier-Stokes equations for transient, incompressible viscous flow. The inlet profiles of the simulation adopted data got from wind tunnel. Comparison between the test result and that of simulation shows that velocity is closely related to the snow distribution.
An Effective Approach for Instructional Resource Database Construction with Web Images
Authors: Xue Ruo Juan
Published: June 2010

In order to effectively utilize Web images to construct instructional resource database, a novel approach is proposed in this paper. With this approach, Web images and their semantics can be automatically downloaded, extracted and stored in resource database and the semantics can be refined by user feedback in retrieval progress. Image topic dictionary is built as the basis to extract semantics. Eight kinds of text are extracted as semantic source from Web pages. Based on image topic dictionary, image semantics can be extracted from the eight kinds of text. In order to further improve the accuracy of semantic extraction, we propose relevance feedback mechanism. Users can provide feedback to refine semantic annotation. The experimental results show that the approach is effective, in which high construction efficiency and quality can be achieved. The approach is better than manual annotation in efficiency and better than automatic annotation in accuracy. The similar methods can be applied to construct resource database of other forms of multimedia.
Design of New Type Synchronous Motor Based on the Stability
Authors: Chen Xue Zhen , Liu Dong Han , Liu Jun
Published: June 2010

New type synchronous motor is made of a permanent magnet part and a reluctance part, there are import influence for the motor performance by the variable k, the fraction length of the permanent magnet part, and α, the displaced angle between the two part d-axis. The math model is derived based on Lyapunov stability, searching the appropriate k and α value, plotting stability regions, giving the simulation results. The calculation results are verified by simulation results.
Acquisition and Tracking Algorithms of GLONASS Software Receiver
Authors: Hu Hui , Fang Lian , Fu Jun Feng
Published: June 2010

As the Russian government has increased investment and management in the Global Navigation Satellite System (GLONASS), the paper improves the acquisition and tracking algorithms of GLONASS receiver based on the primary study of GPS receiver. On the platform of MATLAB, the Fast Fourier Transform (FFT) acquisition of the GLONASS intermediate frequency (IF) signal has achieved by GLONASS signal simulator and PC. At the same time the delay lock loop (that is early-late loop) and coast phase lock loop is used to achieve the code tracking and carrier tracking and decode the navigation data. Just as the experimental results shown, GLONASS IF signal can be acquired and tracked by these algorithms which are suggested in this paper. And it has laid a solid foundation for the study of a complete GLONASS software receiver in the future.
The Development of GPS L1 Data Collector Based on FPGA and USB
Authors: Hu Hui , Yuan Chao
Published: June 2010

The article describes the USB-based implementation of the designing Hardware System of a GPS IF data collector, needed to collect and save a file of GPS IF data which is used to do acquisition experiment. This instrument is based on GP2015, EP2C35F484 and CY7C68013A and so on. The logic circuit of this design is programmed into FPGA to optimize and verify under the platform of Quartus II. USB firmware is developed under the platform of Keil. Experimental results show that the GPS signal can be collected and saved as a file of GPS IF data, and this system operated stably and safely.
Design of the SD Memory Card System in the Embedded Data Acquisition System
Authors: Wan Hou Chong , Dong Yi Bing , Jiang Xiu Hua
Published: June 2010

In order to monitor industrial parameters such as the temperature, pressure, and humidity more intuitively, an embedded multi-channel data acquisition system is designed in this dissertation. These collected data need to be stored safe to prepare for the further process. Therefore, a SD memory card system is specially designed. In the system, the LPC2210 is selected as the controller and FAT32 is adopted as its file system. This design will provide a convenient and reliable solution for industrial field data acquisition and storage.
Study and Analysis of Shock Wave Propagation in Excavation Laneway during Methane Explosion
Authors: Qu Zhi Ming
Published: June 2010

Coal mine can be damaged by extremely strong methane explosion, and the importance of suppressing anti-methane explosion in coal mine production safety is self-evident. The basic assumptions are used to analyze the shock wave propagation and the strength characteristics during methane explosion. The expressions among parameters in wave-front are derived during strong and weak shock wave propagation. Meanwhile, the cylinder shock wave overpressure parameter while propagating and attenuating with distance is deduced. In a certain distance away from the source location of explosion, the overpressure are basically in inverse proportion to the square root of the distance and laneway section, and is proportional to the square root of the amount of pure methane involved in the explosion. Through comparison and analysis of theoretical calculations and numerical simulation data, the data are almost identical.
A Novel VoIP Scheduling Algorithm in IEEE 802.16e System
Authors: Zhu Xiang Xian , Sun Xiu Ying , Sun Qi Feng
Published: June 2010

In IEEE 802.16e network, voice over IP (VoIP) scheduling is critical to system performance but no special algorithm is defined in the IEEE 802.16e standard. Based on this thinking, a novel VoIP scheduling algorithm named compensated based VoIP scheduling (CBVS) is proposed. This algorithm compensates the bandwidth of service flow whose bandwidth is lost using the remained bandwidth. The simulation results show that the proposed algorithm improves the performance much and increases the number of VoIP users.
Aircraft Type Recognition in High-Resolution SAR Images Using Multi-Scale Autoconvolution
Authors: Zhang Li Ping , Wang Chao , Zhang Hong , Zhang Bo
Published: June 2010

Automatic target recognition is the key stage of SAR image interpretation system and has been taking a great interest to the researchers in recent years. Aiming at the issue of aircraft type recognition in high-resolution SAR images, a novel method based on multi-scale autoconvolution (MSA) affine invariant moment is proposed. First, the texture analysis and clustering method are used to segment the SAR images and then the denoising algorithm and morphological processing are applied to segmented results. Second, 29 MSA features are extracted and form a feature vector to represent the target, then the vector components are standardized by gauss normalization. In the final, the vectors are classified by using the nearest neighbor classifier and template library constructed previously. Experimental results show that the proposed method can obtain high accuracy rate with high processing speed, in which the accuracy rate of two type aircrafts with real data arrives at 85.17% and the accuracy rate of four type aircrafts with simulated data arrives at 87.85%.
A Novel Binary Differential Evolution for Discrete Optimization
Authors: Hou Guo Ping , Ma Xuan
Published: June 2010

Differential evolution （DE） is an evolutionary algorithm that is based on the individual differential reconstruction idea. It is proposed by Stom and Price in 1997, and is very suitable to solve optimization problem over continuous spaces. First of all, with the introduction of concepts of differential operator （DO）, etc., the concise description of DE is given and the analysis of its main features is advanced. For solving discrete optimization problem using DE, a new operator, mapping operator, in the new algorithm was used to ensure the original mutation operator still effective. Then a new S operator, with sigmoid function, was used to keep the result of the mutation operator falls in the interval [0, 1]. The algorithm not only has the advantages of DE, but also is very suitable to solve discrete optimization problems. Calculations of 0/1 knapsack problem show that algorithm has better convergence capability and stability.
A Supporting Framework for Real-Time Data Mining
Authors: Fan Ai Jing , Fan Ai Wan
Published: June 2010

Computers widely used in the field of real time process control, and it's very necessary to pay more attention in the field. In this article, real-time data model, real-time data mining environment and the computing characteristics are analyzed .Based on investigating the development of a general purpose methodology for real-time data mining, we propose a novel supporting framework. The framework adopts a novel dynamic data mining process model.
Research on Physical Network Education Teaching Resources Construction and Knowledge Management Technology
Authors: Luo Qi , Wang Bin
Published: June 2010

With the rapid development of multimedia computer and network technology, network learning becomes possible. With network learning, the boundaries of the traditional teaching method are broken, different place and time opening learning can be achieved, which increases the flexibility of learning greatly. At present, many sports colleges and institutions have also established sport education resources database, which has applied in network education. However, due to the particularity of physical education, physical teaching resources construction is still exist some problems. Based on it, knowledge management technology is applied in this paper and physical teaching network resources are constructed. The aim is to analysis physical education network resources characteristics and form standards to manage teaching resources effectively
Discussion about Desulfurization Technology and Management
Authors: Zhou Ji Hong , Lian Yu , Wang Bin
Published: June 2010

Hydrogen sulfide is a kind of poisonous and harmful gas. There are a lot of desulfurization methods. The presents condition, features and application of desulfurization technology are introduced in this paper. It also point out that we should pay more attention to the desulfurization technology which will be introduced. Meanwhile several kinds of desulfurization technology and management methods are presented especially. The merit and fault of all kinds of desulfurization methods are proposed in this paper too.
Study on Drag Reduction of Suspended Flow with Extra Fine Sediment
Authors: Zhu Chang Jun
Published: June 2010

In view of the abnormal phenomenon that a flood peak increased in August 2004 and July 2005 along the lower Yellow River, the mechanism of this abnormal phenomenon is studied. It is found that the flood increase was due to the decrease the channel roughness in the propagation of high concentrated flood carrying the extra fine sediment which was discharged from xiaolangdi reservoir. In view of this, the equation of drag reduction rate is derivated under variable k pattern, and is applied to the reality. The results show that the equation is reliable and has important role in flood control and calculation in water level with hyperconcentration flow. The study of this paper only is a try and discuusion, and need to be improved.
TPBB in the Supply Chain of ERP System
Authors: Wei Jin Yu , Yuan Ting , Wang Hui
Published: June 2010

Brower based system provides a regular mechanism to reflect real world human browser-based systems. Supply chains are the network of corporation including a variety of human browser-based in connected but different processes. Browser-based computer systems can help and replace human-based interaction and decide in the supply chain, but there is no need to focus on heavy or top-down management plans. The Task Based on Browser (TPBB) construction uses techniques inspired by both human institutions and insect colonies. The probability density over time the ability to use the allocation of resources is committed to providing an agent for these surfaces can be a stroll in looking for opportunities to optimize.
Key Replacement Attack on Two Certificateless Signature Schemes without Random Oracles
Authors: Xia Qi , Xu Chun Xiang , Yu Yong
Published: June 2010

Liu et al. proposed the first certificateless signature scheme without random oracles in 2007. However, Xiong et al. showed that Liu et al.'s scheme is insecure against a malicious-but-passive KGC attack and proposed an improved scheme. In ISA 2009, Yuan et al. also proposed a new certificateless signature scheme without random oracles. Although they claimed that the two schemes are secure in the standard model, this paper shows that both Xiong et al.'s improved scheme and Yuan et al.'s new scheme are vulnerable to key replacement attack, where an adversary, obtaining a signature on a message and replacing the public key of a signer, can forge valid signatures on the same message under the replaced public key. We also give the corresponding modifications of the two schemes to resist key replacement attack.
Fuzzy Expectation Maximum Algorithm for Magnetic Resonance Image Segmentation
Authors: Yang Yong
Published: June 2010

Fuzzy clustering algorithm especially the fuzzy c-means (FCM) algorithm has been widely used for segmentation of brain magnetic resonance (MR) images. However, the conventional FCM algorithm has a very serious shortcoming, i.e., the algorithm tends to balance the number of points in each cluster during the classification. Therefore, when this algorithm is applied to segment the MR images with quite different size of objects, it will lead to bad segmentation. To overcome this problem, a novel fuzzy expectation maximization (FEM) algorithm is presented in this paper. The algorithm is developed by extending the classical hard EM algorithm into soft EM algorithm through integrating the fuzzy and statistical techniques. Compared with the FCM algorithm, the experimental results on MR image segmentation clearly indicate that the proposed FEM algorithm has better performance for the segmentation.
Measurement and Control System of Intense-Magnetic Memory Testing Equipment for Reusable Offshore Oil Well Tubing
Authors: Zheng Wen Pei , Fan Jian Chun , Zhang Lai Bin , Wen Dong
Published: June 2010

Oil well tubing is used in oil extraction in offshore oil well. Under the force of tubular columns, erosion and pressure of drilling fluids, the oil well tubing usually fails in long-term service, which always leads to accidents and stagnation of production. So it’s especially necessary to detect faults in tubing. Intense-magnetic memory testing equipment for reusable offshore oil well tubing is developed for this consideration. The equipment is composed of feeding machines, baiting machines, transport machines and a detection machine. Measurement and control system decides the running sequence logic of these components and obtains fault signals of tubing. The avoidance of transport machines for oil well tubing coupling makes the transport of tubing stable. The synchronization control of transport and detection of tubing decides the accurate location of faults. The automatic switch of both detection units and measurement of fault signals makes it convenient to detect oil well tubing of multiple sizes.
The Strategic Choice and Development Measures of Chinese Textiles Trade
Authors: Wang Li Ping
Published: June 2010

After 80s of the last century, the regional economic integration is the prominent characteristics of the development of world economy and international trade, however, the integration organizations that China participated in couldn’t play the important role for China’s export trade. Based on the situation, the paper analyzed the characteristics of China’s export trade and brought forward some suggestions and measures for China’s textiles export.
A Semantic and Trust Based Framework for RBAC User-Role Assignment
Authors: Chen Xi Yuan , Zhu Miao Liang
Published: June 2010

Semantic; Trust Management; RBAC; User-role Assignment
Abstract. The application of RBAC in access management of the enterprise services and resources is very widely. With phenomenal growth of information interaction and cooperation between distributed systems, the number of users can be in the hundreds of thousands or millions. This renders manual user-to-role assignment a formidable task. In this paper, we propose a semantic and trust based framework to automatically assign users to roles based on a finite set of assignment rules defined by authorized people in the enterprise. These rules take into consideration the attributes users own and any constraints set forth by the enterprise including the assignment history and the credit of the requester. We choose OWL to specify the user attributes.
Research on Knowledge Management Visualization of Deep Web
Authors: Fang Wei , Cui Zhi Ming
Published: June 2010

Deep Web information is heterogeneous and dynamic.　How to make use of this information effectively is a challenging task. To handle this problem, an effective solution is knowledge visualization to management knowledge of Deep Web. So, we introduce the Semantic Web technology into the knowledge visualization process. And, we visualize the process of knowledge management in order to share the knowledge, reuse the knowledge and creative the knowledge. Finally, several ontology visualization examples are shown as the visualized process and knowledge management approach, and make a good effect.
Multi-Objective Evolutionary Algorithm Based on the Fuzzy Similarity Measure
Authors: Li Jun Feng , Dai Wen Zhan , Wang Hui Jiao
Published: June 2010

Evolutionary algorithm has gained a worldwide popularity among multi-objective optimization. This paper proposes a novel multi-objective evolutionary algorithm based on the fuzzy similarity measure. First, the best solution of every objective among the multi-objectives is obtained and they are regarded on as the referenced vector. Second, the fuzzy similarity measure between every individual and the referenced vector is solved and the fuzzy similarity measure is acted as fitness of the individual. Moreover, the pareto optimal sets are solved by means of adaptive genetic algorithm. The variety of population is kept by means of adaptive probability of crossover and mutation. At last, the algorithm is used to optimize the design parameters of cylinder helical compression spring. Simulation examples show the effectiveness of the approach proposed.
Research and Implement of Serial RapidIO on Chips Interconnection
Authors: Huang Xiao Yun , Cheng Bo , Su Hai Bing , Wu Qin Zhang
Published: June 2010

A new type of multi-processor interconnected data processing system is developed based on SRIO protocol which is always used for interconnecting chips on a board. It solves two major bottlenecks of high-speed computing and high-speed communications effectively in realtime processing system. The hardware structure of the system is introduced in this paper, and a interconnecting network composed of four dsps is implemented in which any pair of dsps can communicate at 3.125Gbps.
Hybrid Meta-Heuristic Approaches for Vehicle Routing Problem with Fuzzy Demands
Authors: Liu Chang Shi , Zhu Shu Jin
Published: June 2010

The vehicle routing problem with fuzzy demands at nodes is considered. The fuzzy credibility measure is developed to determine the credibility to send the vehicle to next node, and a hybrid mata-heuristics is proposed to determine a set of vehicle routes to minimizes vehicle number and total costs. Finally the computational results are presented to show the high effectiveness and performance of the proposed approaches.
Development of a Hydropower Hydro Monitoring System
Authors: Chen Qing Zhang , Fang Shuo Jin , Zhang Wu Mei
Published: June 2010

Hydropower station is one of key energy construction projects in china. The hydro-mechanical component is one of the core parts of the hydropower station. Therefore, the importance of hydro-condition monitoring becomes even more conspicuous in hydropower station. In this present study, the hardware of hydropower station hydraulic monitoring system was re-designed and integrated through researching hydro-determination theory and method of the hydropower station, using ADAM modules; At the same time, by using development tool C++ and assembly language, a 16-channel data acquisition and visualization operations hydro-monitoring system was completed by implementing the functions of acquisition, calibration, analysis, processing for the software system. Finally, the entire monitoring system was applied on Tianqiao hydropower, and the result indicated that this system might be a better method in monitoring results.
The Architecture and Application of a New Type High Temperature Condensate Closed- Recovery System
Authors: Jiang Pei , Dong Li , Yang Gao Li
Published: June 2010

With the progress of human society and the rapid development of economy, the world's energy shortages have become increasingly prominent and the energy-saving and environmental protection has gradually become the priority over the social and economic area. How to achieve the rational and efficient use of energy, and protect the natural environment have become an important issue that all countries in the world concerned and confronted with presently. As one emerging technology steam condensate recovery can not only greatly improve the energy efficiency but also realize the conservation of water resources has been widely used in some developed countries in recent years. And it has achieved considerable economic and environmental benefits.
Optimal Control for Thrust Vectoring Unmanned Aerial Vehicle
Authors: Zhang Chao , Zhen Zi Yang , Wang Dao Bo , Meng Xin Yu
Published: June 2010

In this paper the application of linear quadratic (LQ) optimal control based techniques to a thrust vectoring unmanned aerial vehicle (TV-UAV) control problem is considered. A general nonlinear dynamic model of the TV-UAV is built, which is different from the common UAV. The longitudinal and lateral linearization models are derived in a benchmark flight state. Two thrust deflections are considered as control variables, associated with the rudder control variables. LQ optimal control method based multivariable control system is designed for the attitude stability control problem. Simulations of a nonlinear model described UAV is carried out, results of which show the superiority of the hybrid control strategy, and also show that the TV-UAV has better properties than the common UAV, in the aspects of anti-disturbance and control efficiency.
Time-Frequency Analysis Methods for Power Quality Disturbances Feature Representation
Authors: Lin Lin , Qi Jia Jin , Huang Nan Tian , Luo Shi Guang
Published: June 2010

Power quality (PQ) analysis is the foundation of power system automation. The premise of power quality analysis is feature representation of power quality events. Time-frequency analysis (TFA) is very suitable for nonstationary signals analysis. The TFA of a PQ signal is to determine the energy distribution along the frequency axis at each time instant. This paper provides a status report of feature representation for PQ events by TFA methods, including short time Fourier transform (STFT), wavelet transform (WT) and S-transform (ST), overview the basic TFA theories for PQ analysis and compare the effectiveness of different TFA methodology. The expectation is that further research and applications of these TFA algorithms will flourish for PQ feature representation in the near future. The analysis direction and emphasis of studying are also put forward.
Pre-Distorted Design Method for Coupled Resonator Filter and Multiplexer
Authors: Dai Wen Jin , Wang Shao Fu
Published: June 2010

In order to solve the problem of group delay of filter design, this paper presents pre-distorted design method with Bessel function for coupled resonator filter and multiplexer with the maximally flat group delay characteristic. At the same time, the formulas and unitary parameter table of Bessel function has been gotten in this paper. The directly coupled resonator pass band filter and multiplexer can be achieved by using this approach. The design two examples are presented and the group delay is flat. The results validate its effectiveness.
Research on Mode-Switching Control of Thyristor Controlled Series Capacitor
Authors: Li Ke Jun , Zhao Jian Guo , Niu Lin , Zhang Cheng Hui
Published: June 2010

The mode-switching control method of thyristor controlled series capacitor (TCSC) is of great importance to power system stability. It is very difficult, if not impossible, to realize mode-switching only by changing firing angles. Considering the impedance characteristics of TCSC, a set of mode-switching control methods is proposed. Simulation and experimental results show that the proposed switching method can make the switching process faster and possess better dynamic performance.
Research on the Evaluation of 4PL Enterprise Competitiveness Based on Information Entropy-Neural Network
Authors: Shi Cheng Hua , Han Yue Xiao , Gu Yun Gao
Published: June 2010

The paper analysis on the fourth party logistics (4PL) enterprise competitiveness based on the connotation of simple; according to the characteristics of the fourth party logistics, the first put forward the fourth party logistics enterprise competitiveness evaluation index system, then apply the method of entropy index system, and last using the neural network to competitive analysis and quantitative evaluation of fourth party logistics enterprises, and get appraisal conclusion.
Transfer Characteristic Research of Power Assisted Steering Pump Noise
Authors: Wang Er Bing , Zhou Hong , Liang Ying Zhen
Published: June 2010

The characteristics of hybrid electric vehicles’ noise and vibration are different when compared with traditional vehicles, especially in idle condition. Taking the noise level of driver location as reference, this paper investigates the influence of noise of power assisted steering pump equipped in a HEV under idle condition, and figure out how it transfers into cavity using spectrum analysis, vibrational energy transfer analysis, and FRF (frequency response function) analysis etc. It is proved that air-borne noise rather than structure-borne noise is the main source. Test verification is consistent with the analysis result, and appropriate acoustic treatment can be effective in improving the noise level inside the vehicle in idle condition.
A Service Robot with Lightweight Arms and a Trinocular Vision Sensor
Authors: Li Xian Hua , Tan Shi Li , Huang Wu Xin
Published: June 2010

This paper describes a household service robot with two lightweight arms and a trinocular vision sensor. According to DH convention, the coordinate system of two arms is established, and position and orientation of the hand is computed. The inverse kinematics of the arm is solved with geometric and algebraic solution methods. By the trinocular vision sensor, robot can recognize the bottle and get its 3-D space coordinate. Through experiments, both correctness of the algorithm and stability of the robot control system are validated.
Improvement of a Structured Multi-Signature Scheme
Authors: Zhang Jun
Published: June 2010

Structured multi-signatures is a special multi-signature which multiple signer can sign the same message and it provided co-signers with different position have different authorization capability. There are lots of structured multi-signature schemes such as Harn’s scheme and Burmester’s scheme, etc. Though Harn’s scheme was relatively safer, yet this scheme was not safety enough because it was very easily aggressed by the forgery attack. This paper shows the scheme can not resist the forgery attack. Then the paper proposed a new structure multi-signature scheme based on the difficulty of the discrete logarithm problem with verifying signature parameter and signers’ public keys. By verifying public-key, the new scheme can resist lots of outsider attack and insider attack. The validity of the new scheme can be verified, and it is a secure structured multi-signature scheme.
Wireless Transmission System Design of Main Shaft Hoist Load Data
Authors: Wang Qing Dong , Wei Jian Feng
Published: June 2010

Wireless data communication technology under industrial environment is a new development trend in recent years, applying wireless technology to the field of data collection can solve problems and shortcomings caused by wired network, such as cabling, faulty inspection difficulties and so on. Safe operation of mine hoist matters much to the safety of mine production. As a result of the lack of detection measures hoist overload occurs from time to time, it poses a greater threat to safety in production. Combing sensor technology with emerging wireless communication technology, the wireless data transmission technology program that takes P89LPC935 MCU as cored controlling component is designed and provided in this project, constructing a new type of real-time monitoring system for main shaft hoist load.
Logistics Center Location Selection Based on the Algorithm of Hybrid Particle Swarm Optimization
Authors: Zhi Jun , Liu Jian Yong , Wang Wei , Wu Hai Ping , Gao Jie
Published: June 2010

PSO algorithm is apt to appear the phenomenon of search stagnancy. To overcome the phenomenon, it uses the crossover and mutation mechanism of genetic algorithm and thought of simulated annealing for references. It has put forward the hybrid PSO algorithm and applies it to the problem of logistics center location selection, its validity and speediness has been proved through emulation.
Study of Neuron Sliding Mode Position Control Based on CMAC
Authors: Shi Xiao Juan
Published: June 2010

Combining cerebella model articulation controller with sliding mode control, a novel control algorithm is designed. It adopts neuron PID controller as the teacher signal of CMAC. The control error rapidly tends to zero by adjusting weight of each corresponding unit in CMAC storage. The control algorithm eliminates the chattering in the conventional sliding mode control. It also has high real-time, strong robustness and better convergence. The control algorithm is applied on position servo system of NC machining tool. The experimental results show that it improves dynamic performance and static performance of position servo system. It can realize rapid and exact position servo control of NC machine tool.
Localization for a Rescue Robot Based on NDT Scan Matching
Authors: Li Jin Liang , Bao Ji Hua , Yu Yan
Published: June 2010

This paper studied the localization problem for a rescue robot based on laser scan matching and extended Kalman filtering (EKF). Scan matching method based on normal distribution transform (NDT) can avoid hard feature extraction problem by estimation of the probability distribution of laser scan data and localization can be achieved using correlation of the NDT. Based on NDT scan matching, the NDT-EKF algorithm is proposed , which realizes fast and precise localization in rescue environment by fusing odometery data and scan matching together. The NDT-EKF algorithm has been extensively tested and experimental results show its effectiveness and robustness.
Research on Tactical Communication Simulation Training Federation Development
Authors: Liu Li Xia , Zhuang Yi Qi
Published: June 2010

As a general-purpose simulation framework, HLA has been widely used in the field of distributed interactive simulations. Based on the systematical description of three major components of High Level Architecture (HLA) and using a combination way of theory and practice, the paper focused on the application of Federation Development and Execution Process Model (FEDEP) method in tactical communication simulation training federation. Combining with the FEDEP process model, key steps of federation target, conception model, development, integration and test and etc of tactical communication simulation training were designed, which lied good foundation for realization and federation-level reuse of tactical communication simulation training federation.
Research on Structured Network Design Method Based on Simulation
Authors: Chen Guo Lang
Published: June 2010

The traditional plat network design method can not meet the requirements of scale enlarge and performance expansion of network. Based on the analysis of deficient of traditional plat design method and referring to structured system analysis method, the paper brought out a structured network design method and analyzed its advantages. Using OPNET network simulation tool, the scalability of these two design method and performance of the designed networks were analyzed with simulation. The simulation result shows that the structured network design method is superior to plat design method in scalability as well as the overall and local performance of the designed network.
An Efficient Energy Adaptive Clustering LEACH in Wireless Sensor Network
Authors: Zhang Lian Xing
Published: June 2010

Wireless sensor network (WSN) is an emerging class of systems made possible by cheap hardware, advanced programming tools, complex algorithms, long lasting power sources and energy efficient radio interfaces. Wireless sensor network is a new paradigm in designing fault tolerant mission critical systems, to enable varied applications like threat detection, environmental monitoring, traditional sensing and actuation and much more. The algorithmic approach to WSN differentiates itself from the protocol approach by the fact that the mathematical models used are more abstract, more general, but sometimes less realistic than the models used for protocol design. Experimental results prove that the scheme can get better effect.
Heuristic Artificial Intelligent Algorithm for Genetic Algorithm
Authors: Lie Luo
Published: June 2010

A genetic algorithm is a search technique used in computing to find exact or approximate solutions to optimization and search problems. Genetic algorithms are categorized as global search heuristics. Genetic algorithms are a particular class of evolutionary algorithms that use techniques inspired by evolutionary biology such as inheritance, mutation, selection, and crossover.
Safety Assessment of Transmission Grid Based on Fuzzy Comprehensive Evaluation and BP Neural Network
Authors: Huang Yuan Sheng , Fang Wei , Tian Cheng Fang
Published: June 2010

In the practice of safety assessment on transmission grid, there is the variation degree of many indexes which can not be accurately described, and fuzzy comprehensive evaluation method can reflect the safety degree of every element. In addition, the combination use of BP neural network and expert system method can determine impact extent of assessment factors on safety of transmission grid and the weight of each factor relative to safety of transmission grid. Therefore, the paper proposes the safety assessment of transmission grid based on BP neural network and fuzzy comprehensive evaluation. Finally, an example is used to prove the method is high precision and practical.
Reversible Logic Synthesis-Oriented Multi-Objective Automatic Design Method Based on Evolutionary Design Techniques
Authors: Zhang Ming Ming , Zhao Shu Guang , Wang Xu
Published: June 2010

This paper applies evolutionary design techniques to the reversible logic synthesis, and proposes a reversible logic synthesis-oriented multi-objective automatic design method based on evolutionary design techniques. Firstly, build a gate-level array model of reversible logic circuits (RLC) in order to model the synthesis problems as ones of constrained multi-objective optimizations. Then, encode the candidate RLC to a set of binary evolutionary individuals which are solved by the specialized Pareto-optimal multi-objective evolutionary algorithm. In addition, adopt “pre-bit priority” mechanism to repair infeasible individuals and adopt the rule-based local transformation method to simple the redundant RLC. The results of synthesis experiments demonstrate that the proposed method is feasible and effective, and can automatically synthesize the better RLC.
PSO-Based Generating Algorithm for Parametric Curve
Authors: Li Zhi Jie , Liu Yong Kui , Huang Fei Xue
Published: June 2010

This paper presents a generating algorithm at pixel level for parametric curve. The parallel particle sub-swarm optimization is used to search the optimal step of curve in forward. Large amount of repeated computing for points are avoided and the result is precise enough. Simulation results show that the parallel method based on particle sub-swarm can be used for searching the optimal step of parametric curve with any degree quickly. At the same time, compared with other methods, this algorithm produces the maximum step efficiently. Since there is no restriction on control point position and curve degree, the algorithm can be extended easily to other parametric curves besides Bézier curves.
A General Framework for OWL-Based Concept Similarity
Authors: Zhang Ye , Yu Zhan Lin
Published: June 2010

In this paper we propose a general framework for computing similarity between concepts. This framework generalizes the Tversky’s model of similarity and uses a non-negative matrix factorization procedure to estimate abstract classes on which similarity between concepts may be computed. We applied the framework to semantic features used to describe concepts. Experimental results suggest that the general framework is feasible and this method is applicable across different concepts. This framework may be considered as a valuable measurement method to test hypotheses about category-specific disorders.
A Novel Dependable System Security Risk Diagnosis Method
Authors: Li Qian Mu , Zhao Zhi , Wei Xiang He , Xu Man Wu
Published: June 2010

This paper puts forward a designing method of Dependable Network System Security Risk Diagnosis (DSSRD). It gets reduced information table, which implies that the number of evaluation criteria is reduced with no information loss, and then, this table is used to develop classification rules and infer appropriate parameters. It’s capable of overcoming several shortcomings in existing diagnosis methods, such as a dilemma between stability and redundancy. The average speed of training in DSSRD is almost twice fast as that in SMO. The experiment implemented by this method shows a good diagnostic ability.
Stability Analysis for ESO in Frequency Domain Based on Description Function Methodology
Authors: Liang Geng , Wan Hui , Zhou Xing , Li Wen
Published: June 2010

Expanded State Observer (ESO) can be used in the control of plants with uncertainties to achieve better effects. Many theoretical and practical researches have been done on design of systems equipped with ESO. Nevertheless, those on the stability of ESO are relatively rare. In this paper, stability analysis for ESO was conducted based on the methodology of description function. Stability conditions for nonlinear ESO with (2+1)th order were presented. It was proved in this paper that stability conditions that were same with that of linear state observers could be obtained and better tracking performance could be achieved if nonlinear parameters were chosen appropriately. The proposed analysis methodology was also applicable for nonlinear ESO with (n+1)th order.
Digital Watermarking System Design and Implementation Based on LSB Algorithm
Authors: Niu Yan , Du Jiang Yi , Li La La
Published: June 2010

Digital Watermarking as the offset of information wrap technology was embedded secret information in digital products in order to protect the copyright. LSB takes the watermark image embedded into the most unimportant places of vector images. This algorithm is very simple, strong real-time, embedded stack information and can be accurate resume embedded information. We have completed needs analysis and delineation of functional modules of image watermarking software. It is easy to use and had realized the basic accession.
The Research on Tikhonov Regularization Algorithm in Airborne Gravity Data Downward Continuation
Authors: Cheng Yi , Luo Jin , Xiu Chun Bo
Published: June 2010

Based on the remove-restore technique, the application of the Tikhonov regularization algorithm to reduce the effect of measurement error in the airborne gravity dada in researched. By the experiments of two kinds airborne gravity data, which having constant system error and casual system error, the compare of different downward continuation algorithm is performed. According to the results of simulations, the Tikhonov regularization algorithm can effectively reduce the effect of height and the measurement error in the airborne gravity data downward continuation compared to other algorithm.
Forecasting Volatility in Financial Markets
Authors: Zhang Hong , Li Shu Fang
Published: June 2010

In this paper, we analyze the stock of Tsingtao Brewery Co Ltd for the 8-year period, from July 31, 2001, to September 11, 2009, a total of 2003 trading days. Using the False Nearest Neighbors method, we obtain the embedding dimension m in the k-nearest neighbour Algorithm. In order to investigate the validity of this method, we apply the modified method to the daily adjusted opening values of the Tsingtao Brewery Co Ltd. We find that the prediction of experimental results is more accurate than traditional methods.
Ontology-Based Cross-Application Rights System Modeling
Authors: Zhang Hui , Zhang Zhen , Zhu Jun Wu
Published: June 2010

Aiming at the existing of a large number of distributed and heterogeneous application systems cross-application of rights management issues, the deficiencies of traditional rights management system, which in the aspect of the formal semantics supporting and reasoning abilities, are analyzed. In the rights management of cross-applications, the concept of domain ontology is introduced; a rights management system model is presented, which is based on the domain ontology cross-applications, for permission ontology to conduct a conceptual modeling and formal description of semantics, an increase of semantic reasoning ability, rich in the corresponding access control mechanisms to provide a user-friendly structure interface.
Measurement and Analysis of Infrasound Wave in the Process of Low Carbon Steel Damage
Authors: Chai Shan , Li Li Jun , Gang Xian Yue , Hua Zhen
Published: June 2010

The method of measuring infrasound wave in the process of low carbon steel damage is presented. The test program is designed, which applies infrasound wave microphone and data acquisition, and the infrasound signal is collected and analyzed. The result of test and spectrum analysis confirmed that in the stages of low carbon steel damage course, including elastic stage, yield stage and strengthen stage, about 2Hz infrasound wave signal is radiated.
Learning from Data by Interval Linear Programming
Authors: Wei Li
Published: June 2010

The linear programming based method are popular methods for learning from empirical data (observations, samples, examples, records). In this paper, an interval linear programming based method for regression problems is proposed. The explicit representation of the general optimal solution of regression problem is obtained in terms of a generalized inverse of the constraint matrix. This explicit solution has obvious theoretical (and possibly computational) advantages over the well-known iterative methods of linear programming.
GPS Cross Correlation Mitigation Technique in Multipath Environment
Authors: Gao Jun Yao , Yang Jing Shu , Zhao Jia
Published: June 2010

The paper investigates the cross correlation mitigation (CCM) technique in the multipath propagating environment. It analyses the impact of cross correlation firstly, then expounds the universal technique in CCM, at last presents an improved DPIC (Delayed Parallel Interference Cancellation) method based on MEDLL. The algorithm estimates the parameters of multipath by using MEDLL, reconstructs the strong signals IF utilizing these parameters, and mitigates the cross correlation with the aid of DPIC method. At last, simulation results prove the validity of this method.
Talk about the Cultivation of High-Skilled Personnel from the Angle of Professional Features
Authors: Wei Jin Yu , Sun Ai Fen
Published: June 2010

With the rapid and sustainable development of China's economic construction and adjustment of industrial structure, requires a lot of high-skilled personnel. At present, the shortage of high-skilled personnel in China, has become the bottleneck restricting industrial development. In this paper, from the angle of professional features of high-skilled professional, put forward specific policy proposals for the cultivation of high-skilled personnel, with a view to the cultivation of high-skilled personnel can have constructive significance and help.
Research on China's Strategies of Develop Logistics Management
Authors: Wei Jin Yu , Yan Xiao Min , Wang Hui
Published: June 2010

Recently, logistics management has become a main problems to China’s enterprises .On the one hand, the logistics cost too high is a hard problem to confine the development of a lot of China’s enterprises. The major reason lies in imperfect accounting, high stock and transportation cost, etc. On other hand, logistics management should be set up on sustainable development. This can be benefit to the development of enterprises and our country. Aimed at these problems, in light of the experience of China’s enterprises, the paper puts forward thirteen strategies to developing the logistics management. They have great value to practical applications in the enterprise.
A Particle Swarm Optimization for Optimal Tolerance Design of Power Transformer Core Column Cross-Section
Authors: Wan Jia Di , Zhang Yuan Biao , Cai Lei , He Chuan
Published: June 2010

This paper presents a solution of the Optimal Tolerance Design Problems for the production of power transformers. Based on statistical and probabilistic methods, it establishes a multi-objective and multi-constraint mathematical model. We then present a solution that maximizes the effective utilization rate of sheet material, for producing core columns of power transformers, and the passing rate of quality controls of matching coils and cores. It also minimizes the Tolerance cost of the product. The solution uses Particle Swarm Optimization (PSO), which is very effective as shown by simulation results.
Evaluation of the E-Commerce Website Based on ANP
Authors: Li Bao Zhu , Bi Ran , Zhang Qing
Published: June 2010

The index system of the E-commerce websites is qualitative, but almost all of them are lack of weights. This paper built a reasonable index system and used the decision-making method ANP to improve the traditional evaluation method. Theoretical foundations and application process of ANP were discussed; dependence and feedback among indices were analyzed. A case study was done by using the Super Decisions software, the result of which can be used for decision-makers.
The Application of Fuzzy-ANP in Evaluation Index System of Computer Security
Authors: Li Bao Zhu , Bi Ran
Published: June 2010

In recent decades most work organizations have come to rely on information technology for internal operations such as record-keeping, external transactions such as financial transfers, and mediated communications. An evaluation is needed in order to determine the priority of risk for patching-up vulnerabilities.This paper applies fuzzy-ANP methodology to evaluate the factors of computer security.