bluuebunny/crossref_metadata_2025 huggingface dataset:
The Design and Simulation of a CMOS Digital PLL
Authors: Wang Kai Yu , Tang Zhe Nan , Ge Tao
Published: February 2011

In this paper, the charge-pump PLL structure is well analyzed. By using top-down method, the digital PLL is designed from frequency phase detector, charge pump, loop filter, VCO to frequency divider. Based on 0.5μm CMOS mixed signal process, the schematic and layout design is finished on Cadence IC 5.1.4.1, and Hspice is used for the simulation. The layout verification and parasitic extraction is completed on industry mainstream Calibre software. Simulation results show that the digital PLL is with a 100MHz center frequency, the locking range is between 20MHz~60MHz, the locking time is less than 1.5μs, and phase noise is -105dBc/Hz. The design has implemented the digital signal lock function and it can be used as an IP hard core in the clock recovery of communication systems and frequency synthesis of digital systems.
The Duncan-Chang Model Parameters for Municipal Solid Waste
Authors: Zhang Zhen Ying , Wu Da Zhi
Published: February 2011

By theoretical analysis and laboratory test, the model parameters of Duncan-Chang for municipal solid waste have been studied. To obtain the mechanical parameters, a new simple and practical method has been established. Research results show that the damage ratio is 0.6, parameter n is about 1.05, parameter F varies between 0 and 0.1, and parameter G varies between 0.3 and 0.4. Besides, the relationship between parameter k and the initial void ratio is linear, and the slope of the line is 5.0.
The Improvement of Preamble Mechanism and Addition of TDMA/CSMA Mechanism for B-MAC
Authors: Tan Min Sheng , Tan Hai Tao , Chen Meng , Li Xiang
Published: February 2011

B-MAC was a kind of MAC protocol which was widely used in Wireless Sensor Networks (WSNs), and some high requirements had been provided for users. However, there were always challenges due to the high energy consumption and packets loss rate. A new MAC protocol called B-MAC++ based on B-MAC was proposed in this paper. The preamble mechanism was improved and funneling effect alleviation mechanism was brought out in B-MAC++. For the combination of the strengths of TDMA and CSMA, the preamble mechanism improvement achieved better energy-efficient, and made up to the weakness of WSNs, and a kind of CSMA/TDMA mechanism was introduced to alleviate funneling effect, and the sink-node’s packet loss had been reduced. Experiments show that B-MAC++ is better than B-MAC in the performance of energy consumption and packet loss rate.
The Stability and Chaotic Motions of a Four-Wing Chaotic Attractor
Authors: Wang Xia , Li Jian Ping , Fang Jian Yin
Published: February 2011

The stability and chaotic motions of a 3-D quadratic autonomous system with a four-wing chaotic attractor are investigated in this paper. Base on the linearization analysis, the stability of the equilibrium points is studied. By using the undetermined coefficient method, the heteroclinic orbits are found and the convergence of the series expansions of this type of orbits is proved. It analytically demonstrates that there exist heteroclinic orbits of Silnikov type connecting the equilibrium points. Therefore, Smale horseshoes and the horseshoe chaos occur for this system via the Silnikov criterion.
The Wavelet Transform in the AE Signal Feature Research of the Rubbing Fault Caused by the Different Pairs
Authors: Jin Zhi Hao , Zhao Jia , Jin Wen , Wen Bang Chun
Published: February 2011

Combine wavelet function “db10”with MATLAB band energy scale decomposition method, studied the characteristics of acoustic signals on different rubbing pair at low speed situations. The results indicate that acoustic signal generated by rubbing fault has obvious sudden; In general, the characteristics of acoustic signals induced by different rubbing pair is basically similar, so the characteristics of rubbing fault affected by rubbing pair of material is very small; The fault charac-teristic frequency is 328-420KHZ , 223-300KHZ at low speed.
Proportional-Integral-Plus Control of Robotic Excavator Arm Utilising State-Dependent Parameter Model
Authors: Gu Jun , Feng Zhi Hua , Ma Xian Dong , Ni Jun Fang
Published: February 2011

This paper is concerned with the design of a control system for a robotic excavator known as the Lancaster University Computerised and Intelligent Excavator (LUCIE). A nonlinear proportional-integral-plus (PIP) control algorithm is developed for regulating movement of excavator arm. The nonlinear dynamics of the hydraulic driven arm is represented using the quasi-linear state-dependent parameter (SDP) model, in which the parameters are functionally dependent on other variables in the system. The model is subsequently utilised to develop a new approach to control system design, based on nonlinear PIP pole assignment. Implementation results demonstrate improved tracking performance of excavator arm in comparison with both linear proportional-integral-derivative (PID) and conventional (linearised) fixed-gain PIP control.
Using Multiple Methods for Rapid Programming in SolidWorks
Authors: Wang Jun , Huang Xin Yuan , Sang Sheng Ju
Published: February 2011

A study on integrate multiple methods including design table, equations, shared data link and API programming design tools in SolidWorks is presented. This method needs to establish the source model only once for congeneric parts and very efficiently avoided establishing model for each part respectively. It greatly reduced the storage space of parts library and effectively enhanced the development efficiency gave full play to the powerful interactive and internal computability in SolidWorks.
Vehicle Ride Comfort Simulation under Pulse Road Surface Based on Multi-Body Dynamics
Authors: Yi Feng Yan , Zhou Chang Feng
Published: February 2011

The shock absorber model and front beam model of a domestic car are built using UG according to the existing two-dimensional drawings. And they are assembled together with the rear beam model, steering knuckles model and arm model. The ADAMS software is used to build up an assembled vehicle model, which includes front and rear suspensions, chassis, steering, tires subsystems and so on. Response characteristics of vehicle ride comfort under pulse road surface are studied through simulation.
Wireless Data Acquisition Module Design Based on ATmega16
Authors: Dong Zeng Shou , Hao Yue Jun , Song Ren Wang , Zeng Jian Chao
Published: February 2011

This paper designs a failure signal remote collection terminal based on engineering mechanical hydraulic system. The terminal takes ATmega16 microcontroller as control core, using BenQ M22A module for GPRS wireless transmission. It overcomes region and time limit of engineering machinery and monitors engineering machinery's running status at any real-time, provides the basis for engineering machinery's breakdown service.
Research on Health Monitor for Three-Dimensional Braided Composite Material
Authors: Li Yi , Wan Zhen Kai , Li Jia Lu
Published: February 2011

This paper describes two methods of Fiber Bragg Grating (FBG) embedded in the three-dimensional (3D) braded composite materials and acoustic emission health monitor for 3D braided composite materials condition. The paper mainly analyses the relations of FBG change and the inner straining under the stretching on materials. It is provided that the way of signal collection and processing. The experimental results proved that FBG sensors have exceptional sense characteristic. The braided angle of composites has a little influence on FBG signal. FBG embedded in the 3D braided composite materials has not more effect mechanical property of materials. According to two health monitoring methods and the particularity of 3D braided composites, the health monitoring method based on FBG much more applies to dynamic monitoring on 3D composites special field. This research provides basis for the study and application of advanced intelligent composites.
Fault Diagnosis Based on Bond Graph for Hydraulic Variable Pitch System
Authors: Yang Xi Yun , Liu Wei , Li Jin Xia
Published: February 2011

A fault diagnosis based on bond graph model is proposed for hydraulic variable pitch system. Because the knowledge representation of bond graph model can provide information of cause and effect between components, a bond graph model of hydraulic variable pitch system is given above rated wind speed. A fault tree, using cause and effect analysis by back propagation, is developed. Qualitative value of parameters is assigned and the fault source is detected by analyzing boundary parameters of fault tree. Comparing with quantitative fault diagnosis based on model, the bond graph fault diagnosis is more flexible and has good completeness.
Algorithm Based on Multiple Features for Recognition of E.coli Promoter Region
Authors: Ao Wei , Yang Jie , Xiang Wan Qin , Liu Xiao Jun
Published: February 2011

A promoter plays an important role in the transcription of DNA sequences; its recognition is very significant. This paper concerns about the problem of extracting information from a given DNA region and to make predictions whether it contains a promoter. We incorporate three types of information to access the significance of a promoter, information on content and information on structure, and then these information are used in a trained nonlinear classifier. The results show that our method performs well and achieve 13.4% average error rate on positive and negative data from non-coding regions and 17.0% average error rate on positive and negative data from coding regions.
An Adaptive Variational PDE Based Image Restoration Model Using Hopfield Neural Network
Authors: Sun Wei , Liu Sheng Nan
Published: February 2011

An adaptive variational partial differential equation (PDE) based aproach for restoration of gray level images degraded by a known shift-invariant blur function and additive noise is presented. The restoration problem of a degraded image is solved by minimizing this model, and this minimizing problem is realized by using Hopfield neural network. In the proposed image restoration model, an adaptive regularization parameter is developed instead of the constant regularization parameter used in previous PDE model. The value of the adaptive regularization parameter changes according to different regions of the image to remove noises and preserve edge better. Several computer simulation results show that the image restoration results of the proposed model both look better and have better SNR (Signal to Noise Ratio) than the previous variational PDE based model.
An Analysis on Risk Factors of High Risk Operations in Hydroelectric Project
Authors: Zhou Jian Lan , Qin Li Fang , Sun Zhi Yu
Published: February 2011

In the process of the enterprise's production, safety is the key concerned matter. Hydroelectric project construction is the industry with frequent accidents; these accidents have great influences to the society, so the effective measures are taken to prevent accidents and thus change the management style from “post processing” to “predictive control”. The accidents data of objects striking of Xiluodu projects in the year of 2004 to 2006 are analyzed, all the factors causing the accidents are determined, and the factors are analyzed qualitatively and quantitatively analyzes with Bayesian network method, finally the safety management program is determined to guide the safety operations. The bad condition of geological environment has the greatest posterior probability; therefore, it is a sensitive factor that might cause the objects striking accidents. More attention should be paid to the geological environment when preventing accidents.
An Attribute Reduction Algorithms of Expert System Knowledge Acquisition
Authors: Ren Yong Chang , Xing Tao , Zhu Ping
Published: February 2011

Knowledge acquisition is the bottleneck of construction expert system, to provide an accurate inference of knowledge is the key decision-making plan. This article use the rough sets theory, through the rough sets reduction eliminate redundant condition attribute, to achieve the streamlining of the knowledge library. First study the knowledge acquisition, in exposition knowledge hierarchical structure foundation, has given the conceptualization, formal, the knowledge library refinement and so on three knowledge acquisition; and then study attributes reduction algorithms, in the research sets difference and the attribute importance, the reduction algorithms inferential reasoning process's foundation, has given the attribute reduction algorithms six steps. Finally, according to the attributes reduction algorithms and the steps, to estimate the expert system to the function analytic method construction software cost, the composition technology complexity factor of 14 factors reduction. The results showed that the use of rough sets theory to reduce the attributes, can simplify the structure of complex systems, and can effectively maintain the knowledge library structure and performance.
An Improved Pattern Matching Algorithm in the Intrusion Detection System
Authors: Zhang Ping , Liu Jiang Hui
Published: February 2011

This paper proposed a matching algorithm FBMH(Fast Boyer Moor Horspool),which made an improvement on the BMH(Boyer Moor Horspool) and BMHS(Boyer Moor Horspool Sundy) matching algorithm based on the study of several typical pattern matching algorithms used in intrusion detection. The result shows that, the FBMH algorithm has less intrusion detection matching time than BMH and BMHS algorithm. The FBMH algorithm accelerated the speed of pattern matching effectively, therefore enhanced the efficiency of the intrusion detection system.
An Online PD Pulses Recognition Method to Extract PD Pulses Buried in External Interferences
Authors: Gong Chuan Li , Wan Yuan , Chi Hai Long , Yang Ye Ping
Published: February 2011

Partial discharge (PD) pulses recognition, which is directly related to the credibility of PD online measurement results, is the key technology of the high-voltage (HV) equipment PD online monitoring. In this paper, a pulses recognition method during PD online measurement was put forward to extract PD pulses buried in external interferences, the method adopted three key steps to identify PD pulses: (a) Firstly, two pretreatments, including discrete spectrum interferences (DSI) suppression and single pulse boundaries determination, are used to convert several consecutive power cycles on-site monitoring signal to plenty of pulse - time sequences; (b) Then, an optimized adaptive clustering algorithm is adopted to classify all pulses into certain categories (c) Finally, the three-dimensional distribution of each category which indicated the pulses phase distribution with power cycles was calculated, and the PD pulses were identified by the statistics characteristics of their three-dimensional distribution. At present, the PD pulses recognition method has been used in industrial application, and on-site monitoring signal processing results has proved the effectiveness of the method.
Analysis on Stiffness Reliability for Bus Body Frame Based on Response Surface Method
Authors: Zhang Da Qian , Zhao Wei Tao , Qin Lian Fang
Published: February 2011

This paper describes how to calculate stiffness reliability for bus body frame in the specified case. The principle of the Response Surface Method and solving process of reliability calculation are presented. Designing response surface by central index method and solving undetermined coefficients of unknown function by interpolation technique, the fitted response surface placed on check point is founded. Then failure probability of bus frame is got by Monto Carlo method and corresponding reliability is obtained. The calculation results of a specified bus body show that stiffness reliability of frame is 100% and it is necessary that the structure should be improved because of strong stiffness.
ANP Approach to E-Learning Setup Decision in Knowledge Community of Enterprise
Authors: Wu Bing , Xu Wen Xia , Ge Jun
Published: February 2011

The prioritization of E-Learning setup decision is a complex decision-making problem. The purpose of the paper is to show how to include corporate strategy in the decision-making process and use the Analytic Network Process as a multiple criteria decision-making methodology which can be used in solving E-Learning setup selection problems. In this method, relevant criteria affecting setup are split into three categories: economic criteria, cost criteria and risk criteria. Due to the interdependency between these criteria, ANP was used to generalize analytic hierarchical process by considering the interdependencies among factor. Finally, in order to show the applicability of the propose structure in practice, the structure is implemented to choose the best E-Learning setup policy among three aforementioned strategies in the real case company. Keywords: ANP approach, E-Learning, setup decision, knowledge community
Application of Ultrasonic Wave and Resistograph for Nondestructive Testing of Defects in Standing Trees
Authors: Song Shi Quan , Xu Hua Dong , Wang Li Hai
Published: February 2011

In order to carry out non-destructive testing on standing trees, explore the propagation characteristics and the influence factors of the ultrasonic wave spreading in the standing trees. Take simon poplar as the research object, Resistograph were employed to test 30 sample (simon polar) standing trees and it gave a preliminary estimate of the internal defects in the samples, and RSM-SYS5 ultrasonic device were employed to test the ultrasonic propagation velocity spreading in simon poplar standing trees, with the statistics of the ultrasonic propagation velocity spreading separately in the health trees and standing trees with defects, and did a regression analysis of the relationship between the size of the defacts and the ultrasonic propagation velocity. The results show that: 1) When the diameter of sample trees are between 30 and 55cm, the radial velocity of ultrasonic spreading in healthy simon poplar standing trees are in the range of 1029.96m/s ~ 1200m/s, all more than 1000m/s; however, when there are defects in simon poplar standing trees, the ultrasonic radial velocity are less than 1000m/s. 2) The defacts in standing trees have an significant influence on the ultrasonic radial propagation velocity spreading in simon poplar standing trees, defect size and the radial velocity is significantly negatively correlated, and the correlation coefficient R is 0.887.
Cognitive Radio Decision Engine Based on Multi-Objective Genetic Algorithm
Authors: Wu Di , Yang Sheng Yao , Liu J.C.
Published: February 2011

The performance optimization of cognitive radio is a multi-objective optimization problem. Existing genetic algorithms are difficult to assign the weight of each objective when the linear weighting method is used to simplify the multi-objective optimization problem into a single objective optimization problem. In this paper, we propose a new cognitive decision engine algorithm using multi-objective genetic algorithm with population adaptation. A multicarrier system is used for simulation analysis, and experimental results show that the proposed algorithm is effective and meets the real-time requirement.
Coordination Control Strategy for Active and Reactive Power of DFIG Based on Exact Feedback Linearization under Grid Fault Condition
Authors: Cheng Meng Zeng , Dou Zhen Lan , Cai Xu
Published: February 2011

In this paper, a control strategy for operation of rotor side converter (RSC) of Doubly Fed Induction Generators (DFIG) is developed by injecting reactive power into the grid in order to support the grid voltage during and after grid fault events. The novel nonlinear control method is based on differential geometry theory, and exact feedback linearization is applied for control system design of DFIG. Then the optimal control for the linearized system is obtained through introducing the linear quadratic regulator (LQR) design method. Simulation results on a single machine infinite bus power system show that the proposed nonlinear control method can inject reactive power to fault grid rapidly, reduce the oscillation of active power and improve the transient stability of power system.
A Method of Combined Evaluation Based on Two-Dimensional Density Weighted Operator
Authors: Zhang Fa Ming
Published: February 2011

A two-dimensional density weighted averaging combined ( ) operator is built based on the information aggregation of two-dimensional density weighted averaging ( ) operator. The new operator is applied in the information aggregation of combined evaluation. Then the classifying method of two-dimensional data in combined evaluation is given. Finally, an aggregation example is given.
Cutting Tool Wear Monitoring Based on Wavelet Denoising and Fractal Theory
Authors: Fu Pan , Li Wei Lin , Zhu Li Qin
Published: February 2011

Monitoring of metal cutting tool wear for turning is a very important economical consideration in automated manufacturing. In the process of turning, the vibration signals of cutting tool become more and more irregular with the increase of tool wear. The degree of tool wear can indirectly be determined according to the change of vibration signals of cutting tool. In order to quantitatively describe this change, the wavelet and fractal theory were introduced into the cutting tool wear monitoring area. To eliminate the effect of noise on fractal dimension, the wavelet denoising method was used to reduce the noise of original signals. Then, the fractal dimensions were got from the denoised signals, including box dimension, information dimension, and correlation dimension. The relationship between these fractal dimensions and tool wear was studied. Use these fractal dimensions as the status indicator of tool wear condition. The experiments result demonstrates that wavelet denoise method can efficiently eliminate the effect of noise, and the change of fractal dimensions can represent the condition of tool wear.
DEM Simulation of the Particle Mixing in Spouted Bed of Three Solids Differing in Diameter
Authors: Zhu Wei Bing , Zhu Run Ru , Xing Li Chao , Zhang Xiao Bin
Published: February 2011

In this work, the mixing characteristic of ternary diameter particle system in a rectangular spouted bed was carried out three-dimensional discrete element method (DEM). In particular, the standard k- two-equation model and the Beer & Johnson equation were adopted to investigate the influence of turbulence and rolling friction, and Ashton mixing index was adopted to evaluate the dynamic mixing process of the ternary diameter particle systems. The particle velocity profiles, the gas-solid flow patterns, the particles distribution and the effect of gas velocity on mixing are discussed.
Design and Validation of a Simulation-Based Modular Planning and Scheduling System of Semiconductor Fabrication Facilities
Authors: Li Li , Qiao Fei
Published: February 2011

A simulation-based modular planning and scheduling system developed for semiconductor fabrication facilities (SFFs) is discussed. Firstly, the general structure model (GSM) for SFFs, composed of a configurable definition layer, a physical layer, a process information layer and a planning and scheduling layer, is proposed. Secondly, a data-based dynamic simulation modeling method is given. Thirdly, a simulation-based modular planning and scheduling system (SMPSS) for SFFs, including model modules, release control modules, scheduling modules and rescheduling modules, is designed and developed. Finally, a case study is used to demonstrate the effectiveness of
Design of Strait-Line Tracking Controller of Under-Actuated USV Based on Back-Stepping Method and Feedback Compensation
Authors: Ma Yu Long , Han Jian Da , He Yu Qing
Published: February 2011

Unmanned surface vehicle (USV) system has been one of main research directions in mobile robotics because it can be used in many situations. However, high performance path following control, especially straight line tracking control, has been one of the difficult problems in autonomous control of USV system. In this paper, we propose a new straight line path following control algorithm by combining yaw angle feedback and back-stepping technique and show its closed loop stability. The most absorbing advantage of the proposed controller is that it not only reserve the good performance of back-stepping controller but also bring much faster convergent rate, which is very important in real applications. The simulation results with respect to a training ship model have shown the feasibility and validity of the proposed method.
Design of Visibility Forecasting System on Freeways Based on the Internet of Things
Authors: Xiao Guang Bing , Min Yong Jun , Cai Wei Yi
Published: February 2011

This paper aims at designing a visibility forecasting system on freeways based on the Internet of Things. Physical processes of fog formation on freeways are explored by the related real data and circulation background fields, and then some characteristics are presented through the forecasting model. The paper introduces the Zigbee protocol into the hardware design of the system, in which the epigenous machines can analyze the received data dynamically.
Development and Implementation of a Bootloader Based on the Embedded Systems
Authors: Jin Fei , Zhao Lian Yu
Published: February 2011

This paper introduces design principles and steps of a bootloader, including the analysis of S3C2440A microprocess with its peripherals, hardware initialization process and the automatic loading mode and the steps of Shell command interpreter, and gives parts of the core codes and the experi- mental results.
Development of PZT Multi-Channel Power Supply Based on PA93
Authors: Fan Wei , Cui Chang Cai , Li Zhong Shen
Published: February 2011

Good performance of driving power supply is the key to achieve high-precision positioning of the piezoelectric ceramic. In this paper, mainly from the expansion of power channel, lower ripple and interference, reducing the volume and temperature control of amplifier such aspects, developed PZT multi-channel power supply based on PA93 power amplifier, and completed the corresponding experiments of the calibration characteristics. By testing, the output voltage of eight channels shows good linearity, the nonlinear error is less than 0.05％. the resolution is 6mv, the static ripple voltage is less than 9mV, the power bandwidth could be 5kHz, the continuous output current could be 1.5A, the voltage variation is less than 0.01％ after eight hours continuous working. The volume of power supply is only 280*260*120mm, the power supply could satisfy the requirements of PZT driving.
A Model-Driven Approach for Monitoring in Service Cloud
Authors: Wang Zhuo Hao , Wang Xi Cheng , Qi Kai Yuan , Zhao Zhuo Feng
Published: February 2011

Service cloud provides a platform to operate different kinds of services through Internet. Service monitoring is a crucial issue for the guaranteed service delivery in service cloud. However, most monitoring approaches in service computing domain are specific and focus on IT level. The challenge of how to monitor diverse aspect of different services simply and flexibly needs to be overcome. In this paper, we present a model-driven approach for service monitoring from both business and IT perspective. In the approach, a service monitoring metamodel is put forward to define various service monitoring models on demand. The resulted model can specify the monitored information and the monitoring process in both business level and IT level. A service cloud monitoring system for the approach is also described in this paper.
Discussion on the Pattern of Competitive Trade in the AGC Ancillary Service Market
Authors: Li Lu , Tang Zhong Fu , Zhang En Yuan
Published: February 2011

Electric ancillary service is an important method that ensures the power system to operate safely and stably. This paper discusses the optimum selection of Automatic Generation Control (AGC) units in the Electric AGC Ancillary Service Market. In this paper a mathematical model is proposed to select the generating unit to perform AGC function in light of minimizing the AGC services purchase fee. Several forms that are used to pay the AGC service business are also discussed in the paper. The application to a realistic system shows that the idea and the method presented in this paper are correct and feasible.
Dynamic Negotiation Model of Bilateral Contracts in Electricity Market
Authors: Zou Xiao Yan
Published: February 2011

This paper presents a game model to analyze the dynamic negotiation process of bilateral contracts in electricity market. This model focuses on the bilateral contracts with a fixed amount of electricity and incomplete information. Equilibriums show that increasing the price transparency of spot markets will facilitate electricity trading though bilateral contracts, and enhance the efficiency of the entire electricity market.
Dynamical Characteristic Analysis of a Fluid-Loaded Cylindrical Shell with Structural Discontinuities
Authors: Zhang Shi Liang , Yan Jin
Published: February 2011

By using space-harmonic analysis method, the characteristics of vibrational power flow and sound radiation of an infinite submerged cylindrical shell with internal rings and bulkheads are studied analytically. The harmonic motion of the shell and the pressure field in the fluid are described by Flügge shell equations and Helmholtz equation, respectively. The coupling condition on the outer surface of the shell wall is introduced to obtain the vibrational equation of this coupled system. Both four kinds of forces (moments) between rings and shell and between bulkheads and shell are considered. The solution is obtained in series form by expanding the system responses in terms of the space harmonics of the spacings of both ring stiffeners and bulkheads. The vibrational power flow and radiated sound power are obtained and the influences of various complicating effects such as the ring, bulkhead and fluid loading on the results are analyzed. The analytic model is close to engineering practice, which will give some guidelines for noise reduction of this kind structure.
A Modified Phase Correlation Method for Image Registration
Authors: Yang Lu Jing , Hao Wei , Li Chong Lun
Published: February 2011

Image registration is a very fundamental and important part in many multi-sensor image based applications. Phase correlation-based image registration method is widely concerned for its small computation amount, strong anti-interference property. However, it can only solve the image registration problem with translational motion. Hence, we proposed a modified phase correlation registration method in the paper. We analyzed the principle of registration, gave the flow chart, and applied the method to the SAR image registration problems with scaling, rotation and translation transformation. Simulation results show that the method can accurately estimate the translation parameters, zoom scale and rotation angle of registrating image relative to the reference image.
Embedded System Based Television Data Collection and Return Technology
Authors: Su Yu , Wen Shu Hong , Chai Jian Ping
Published: February 2011

Television data collection and return technologies are one of key technologies in television secure broadcasting system, TV video content surveillance, TV program copyright protection, and client advertisement broadcasting. In china, the dominating methods of TV video content surveillance are manual tape recording and whole TV program Automatic Return. Manual method costs too much, whole TV program return method needs lots of net bandwidth and storage space. This paper proposes a new method of television data collection and return technology, video field is extracted from continuous video and coded at frequency of about one field per second, in other words, one field is extracted from continuous fifty fields of original video for PAL TV system, extracted frame can be coded by all means, for example JPEG2000, or intra mode code of H.264 or MPEG2. TV programs whose content and topic change most frequently are news and advertisement program, which may change topic in five to ten seconds, so extracted sequences hold the same topic and content and enough information with original video for TV program content surveillance application. The data quantity of extracted sequence is about 3 percent of the original video program, which will save large quantity of network bandwidth and storage space. One hardware implementation method of this technology based on embedded system is proposed, the TV Field Extractor, which circularly extracts images from target TV program, uses high-performance compression algorithm for image compression and stores the final output sequences of stationary images on the hard disk, or transmits these sequences to the monitoring center via network. This method evidently reduces device cost, network bandwidth and storage space, which can be widely adopted in TV program content surveillance and TV secure broadcasting system.
A Compensatory Fuzzy Neural Network Modeling Method Based on Particle Swarm Clustering
Authors: Man Chun Tao , Wang Tian Feng , Sun Xiao Bo , Yang Xin Xin , Cui Jia
Published: February 2011

According to modeling problem for complex systems, a compensatory fuzzy neural network (CFNN) modeling method based on particle swarm clustering is proposed: the particle swarm clustering is used to automatically separate the space of input-output data, obtain the numbers of inference rules of fuzzy model and find fuzzy rules. Based on the rules, we modified fuzzy reasoning process and established initial structure of compensatory fuzzy neural network. Then using adaptive rate algorithm optimized initial network parameters, which can obtain a faster training speed and more precision. Simulation results show that the proposed network has successfully modeled the oxidation decomposition reaction process.
Exponential Stability for a Stochastic Competitive Population System with Age-Structure
Authors: Du Qing Hui , Zhang Qi Min
Published: February 2011

The aim of this paper is to introduce a class of stochastic competitive system with age-structure. By using klmogorou's inequality, Bark holder -Davis -Gundy's lemma, Ito’s formula, some special inequalities and some criteria are obtained for the exponential stability of stochastic competitive system.
A Multi-next-Hop Routing Optimization Algorithm Based on Polymerization Equivalence Class
Authors: Tian Ming , Lan Ju Long , Yi Peng
Published: February 2011

A multi-next-hop routing algorithm based on polymerization equivalence class proposed in this paper, which can efficiently avoid route loop. Because each node is divided into different equivalence class, message transmission direction is along reducing order of equivalent class numbers. Based on that, the link criticality is referred to depict the average task in network for every link, it can be used to avoid choosing links with heavier task and longer path length to route, making whole network utilization tend to balance, reducing package loss in the case of high load.
Finite Element Analysis on Dynamic Tension of Quad-Bundle Conductor of Transmission Line Galloping
Authors: Hao Shu Ying , Zhou Kun Tao , Chen Zhi Gang , Zhang Qi Chang
Published: February 2011

For profoundly understanding the influence of wind speed on the dynamic tension of iced bundle conductor, the influence of wind speed on galloping rules, tension variation, and amplitude of quad-bundle conductor under number 4-8 wind were investigated by nonlinear finite element analysis and theoretical analysis methods. The results shows that wind speed have great influence on galloping amplitude and dynamic tension. Galloping amplitude will rapidly increase with the increase of the wind speed at the beginning, but when the wind speed increased to a certain extent, the increase of galloping amplitude in plane and dynamic tension will become not obviously, and the maximum dynamic tension approximately doubles the static tension. The galloping and tension variation rules of bundle conductor were changed from stability periodic motion to complicated quasi periodic motion.
A Multi-Objective Model about Period Train Timetable Problem and a Genetic Algorithm Based on Job-Shop Problem
Authors: Jia Xiao Qiu , Guan Xiao Yu
Published: February 2011

At present, periodic train timetable problem (PTTP) becomes one of the hot topics home and abroad. On the basic of present theories and methods about periodic and non-periodic train timetable problem, the thesis constructs a multi-objectives model for the PTTP, transfers it into a single model with multi-priorities structure, and designs a genetic algorithm in a given period by the basic ideas on solving job shop problem. Finally, the paper gives out a instance for Jingjin railroad to show effectiveness of the algorithm.
Genetic Algorithm with Dynamic Receding Horizon for Airport Capacity Management
Authors: Liu Jun Qiang , Guan Xiao Ling
Published: February 2011

The major goal of air traffic management is to strategically control the flow of airport traffic. Airport capacity management (ACM) in a dynamic environment is crucial for the optimal operation in airport environment. This paper uses the concept of dynamic receding horizon control (DRHC) to conduct real-time planning for airport capacity management. A gene algorithm is then designed from DRHC point of view. It is shown that DRHC provides a generic and flexible framework for developing real-time allocation algorithms for airport capacity in a dynamic and uncertain environment. Simulation results show that the algorithm is effective and efficient to solve the problem.
How to Improve the Data Processing Speed by FPGA
Authors: Zhao Zeng Rong
Published: February 2011

With the data acquisition speed and data-width constantly increasing, how to improve the data processing ability is important in real system. So a high speed system is designed based on FPGA, which is the core logic control device. Each circuit model is discussed in detail, which is designed by VHDL or LPM. And their simulation result is gived in the integration circumstance of MAX+plusⅡ.Compared with DSP, the FPGA data processing system is simpler, more effective and lower cost .
Hybrid Position/Force Control for a RRR 3-DoF Manipulator
Authors: Tian Shi Xiang , Wang Sheng Ze
Published: February 2011

In this paper, a novel hybrid position/force controller has been proposed for a three degree of freedom (3-DOF) of robot trajectory following that is required to switch between position and force control. The whole controller consists of two components: a positional controller and a force controller. Depending on whether the end-effector is in free space or in contact with the environments during work, the two subcontrollers run simultaneously to guide the manipulator tracking in free space and constraint environments. After the principle and stability of the controller are briefly analyzed, simulation results verify that the proposed controller attains a high performance.
A Multi-Objective Model for Evaluation of Road-Region Ecosystem Stability
Authors: Qin Zhi Bin , Liu Zhao Hui , Li Yu Zhi
Published: February 2011

The concept of the road-region ecosystem is described and its environmental features analyzed. In addition, the stability of the road-region ecosystem is summarized. A scientific and rational evaluation of road-region ecosystem stability is proposed to properly investigate the relationship between highway construction and protection of the ecological environment. This paper investigated a method for determining an index system to be used to evaluate road-region ecosystem stability. It put forward an index system for assessing road-region ecosystem stability as a reference. On the basis of detailed analysis of the multidimensional space of the road-region ecosystem, a new method and calculation formula for multi-objective comprehensive evaluation of road-region ecosystem stability are presented. Computation result is fit with the actual situation. The result indicates that the evaluation index system and the method are feasible.
Introduction of some Error-Tolerating Codes
Authors: Li Jun Hong , Xie Jian Jun , Liu Xiang
Published: February 2011

Error-Tolerating Codes (ETC) is an important concept in the fields of reliability of computer. It is an efficient and economical approach, which uses few hardware, but improves the reliability of information in computer significantly. In this paper, some general Error-Tolerating Codes are presented and some examples will present to illustrate them.
Inventor in the Virtual Product Design
Authors: Ha Lan Tao
Published: February 2011

Virtual design is based on virtual reality and simulation technology, simulates the throughout life cycle from product design, manufacture, assembly, testing to use by means of three-dimensional software Inventor on computer in order to optimize product design quality and manufacturing processes, optimize production management and resource planning to achieve minimization of product development cycle and cost, optimization of product design quality and the highest productivity.
Key Technology Research on Intelligent CAPP System of Automatic Machine Process
Authors: Cheng Guang Yao , Li Ping Ping , Gao Zhen Qing , Lei Lei
Published: February 2011

The CAPP system architecture based on PDM was proposed to realize the integration of Information and function, which was built on the analysis for the processing characteristics of shaft parts of automatic machines. By proposing the multi-level parts feature information modeling and process feature information modeling, developing of automatic sequencing expert system for the shaft parts of automata, it typically realizes intelligent process planning, automatic confirming of cutting usages, automatic selection of technology resources and automatic calculation of cutting tools’ travel, working stroke and tool control parameters of CAM.
Location and Measurement of Acupoints on Head-Model Based on Structured-Light Scanning
Authors: Wang Yan , Ouyang Jian Fei
Published: February 2011

408 acupoints of human body, including 362 acupoints of the fourteen meridians and 46 extra points, are the exit and entrance of the Viscera Meridians energy. The acupoints location is fundamental to study Chinese Medicine. The paper presents a new precision modeling and measuring technology for acupoints location on head-model based on machine vision. The head-model is measured fast and accurately by the structured-light scanning. The digital model of head-model can be made from the cloudy data through the acquisition, align, merge, and edit. The head-model coordinate systems based on the geometric morphometry is developed for dynamic measurement of an unfixed live head in which any acupoints coordinate can be measured. The plane is established based on the symmetric head. The curve of the plane across nose is fitted by the least-square method. The origin is acquired from the curve first derivative, which is unique and accurate. The tangent through the origin is defined as Z-axis. The line through the origin, perpendicular to the symmetric plane and XZ-plane are defined as X-axis and Y-axis respectively. Some important geometric parameters of the head-model are measured accurately by the digital model such as distance between all pairs of acupoints and interior angles from a triangulation of the acupoints in order to assistant locating the acupoints well. The proposed strategy in this study provides powerful weapons for acupoints location in Traditional Chinese Medicine.
Mobile Robot Path Planning Based on Local Environment Modeling and Adaptive Window
Authors: Zhong Xun Yu , Peng Xia Fu , Zhou Jie Hua , Huang Xiao Ci
Published: February 2011

In order to solve the problem of path planning for mobile robot in unknown environment, improving overall performance of the planned path, a multi-constrained local environment modeling method is used in which the traversability, security, movement smoothness and goal-guiding are taken into consideration. On the basis of environment modeling, improved local path planning algorithms is proposed by combining Bug algorithm and rolling path planning algorithm. That improved algorithm contains Move to Goal behavior and Wall Following behavior, for overcoming local minimum, designed for robot using adaptive dynamic window. Simulation results show that the proposed methods have a good safety obstacle avoidance capabilities and environmental adaptability.
Modal Analysis of Connection Structure for the Giant Forging Hydraulic Press Synchronization Balance Test System
Authors: Deng Yi , Liu Shao Jun , Zhou Yu Cai , Huang Ming Hui
Published: February 2011

In this paper, the cycloid bearing type of connection structure for the giant die forging hydraulic press’s movable beam eccentric torque test system are put forward to compare the static comprehensive error with the original movable slider structure. Through the MAC finite-element model analysis, the mode and vibration of the simultaneous balance detection bracket are obtained. The results show that the proposed type is superior to the original one.
Modal Identification Based on Noise Reduction from Measured Impulsive Response Functions
Authors: Bao Xing Xian , Li Cui Lin
Published: February 2011

Measured impulsive response functions (IRFs) are inevitably contaminated with noise when a data acquisition system is used for an experimental measurement. This situation often leads to serious difficulties in identifying the modal parameters with proper accuracy. This paper presents a noise reduction method for measured IRFs based on structured low rank approximation (SLRA) so as to improve the accuracy of the modal identification. A cantilever beam experiment is used to demonstrate the performance of the proposed method. The results show that this method can remove noise from measured IRFs efficiently, and the modal parameter identifications based on the filtered IRFs are very good.
Modeling and Simulation of Grid-Connected Photovoltaic System
Authors: Liu Jia Dong , Zhao Dong Mei , Zhang Xu
Published: February 2011

Modeling and simulation of a grid-connected photovoltaic system (GCPS) is addressed in this paper to analyze its control performance and dynamics under changing irradiation. A circuit model of solar array considering irradiation is used to simulate its inherent characteristics and realized by a controlled current source. The controls of the GCPS and its electrical circuits are represented by user-defined and built-in components. The dynamic of the system in normal and fault conditions are dominated by its power controller and a method to set PI controller’s parameters is proposed in this paper. The model has been implemented on DIgSILENT. Simulation results are presented and compared with experiment waves to validate that proposed simulation model is effective for evaluation of the GCPS.
Modeling Building of Miniature Unmanned Helicopter for Hovering Status Based on Local Least Square Support Vector Machine
Authors: Huang De Gang , Wu Jian De , Fan Yu Gang , Feng Ting
Published: February 2011

Miniature unmanned helicopter (MUH) is a controlled member which is very complicated, due to their some characteristics such as highly nonlinear, close coupled, time-variation, open-loop unstable etc. The traditional method of identification is a whole model method. Although those can solve some hard problem, the time-variation is not treated well. The paper introduces a method of model building for miniature unmanned helicopter (MUH), based on local least square support vector machine. Namely the nearest samples to the predicted sample are selected online, and model building is finished by those samples with prediction. The feature of this method is that using the idea of local model building updates the model online, and the global model building brings the low ability of model generalization. In the last, compared with the traditional method of least square support vector machine in the experiment, the results show the algorithm is more effective.