bluuebunny/crossref_metadata_2025 huggingface dataset:
Optimal Tuning of Robust Controller Based on Artificial Bee Colony Algorithm
Authors: Xu Kun , Jiang Ming Yan
Published: September 2012

Artificial bee colony algorithm (ABCA) is a novel swarm intelligence algorithm for global optimization. An efficient method based on ABCA is proposed for optimal tuning of robust proportional-integral-derivative (PID) controller in this paper. A multi-objective optimization is applied to balance several constraint factors of controller. Performance of robust PID controller is evaluated by a three-order and time-delay transfer function with 40%, 50% and 60% uncertainty, respectively. Simulation result clearly demonstrates that the designed controller can obtain an optimal tuning and endure parameter fluctuation. From comparisons of robust PID controller in different uncertainties, a conclusion can be obtained that performance of robust PID controller will be worse as the uncertainty increases, even obtain a divergent solution when the uncertainty is more than 60%.
Carrier Wave Communication System of Spread Spectrum on Colliery Underground
Authors: Zhang Yan
Published: September 2012

The paper introduces the project component of power carrier communication mode and communication system based on the spread spectrum communication theory. The methods of data transmission and spread spectrum technology applying in the coal mine communication systems are given. Paper analyzes the characteristics of signal and the feasibility of technique solutions for mine communications. The design possesses the strong practicability and operability.
Adult Image Detection Based on AdaBoost
Authors: Duan Li Juan , Sun Ze Cheng , Wu Chun Peng , Wang Xue Bin , Yang Zhen , Li Jian
Published: September 2012

In this paper, a method of detecting adult images based on AdaBoost was proposed. We focused on the detection of the adult images that have naked breasts or naked genitalia. By using basic and rotated Haar-like features extracted from the samples in the training set, we trained a cascade detector. The detector would classify the image whether to be a pornographic one or not. The results showed that this method achieved a high detection rate and a low false alarm rate.
Adaptive Convex Combination of Two RBF Networks and its Application to Nonlinear System Identification
Authors: Zeng Xiang Ping , Zhao Hai Quan , Jin Wei Dong
Published: September 2012

This paper presents a novel nonlinear adaptive filter-based the convex combination of two radial basis function (RBF) networks (CRBF), which is trained by the stochastic gradient (SG) learning algorithm with different step sizes. The combination approach can alleviate the compromises of fast convergence and low steady-state error for RBF networks. Moreover, it is also with better tracking capability than the RBF network. Experiments with nonlinear system identification illustrate that the desired behavior and robustness.
Self-Learning Genetic Algorithms for RGV Optimization Scheduling
Authors: Xu Wei Hua , Xiong Jian , Yao Guo Zhong
Published: September 2012

Through the in-depth analysis on working trait and scheduling policy of straight Rail Guided Vehicle (RGV), a multi-objective genetic algorithm (GA) is proposed for RGV scheduling problems, of which the start-stop, waiting and complex task of the straight RGV was considered. On the base, the real-time scheduling policy of straight RGV is set up based on self-learning and the improved GA. The rule of encoding, selecting, crossover selection and variation probability of the model was studied, and the self-learning expert database and searching the optimal compromising solutions were given to enhance calculation efficiency. In closing, the results of simulation and engineering application show that the system captaincy of RGV is effectively improved, and the model is feasible and effective.
Three-Dimensional Fuzzy Controller and its Optimizing
Authors: Pan Wei Wei , Chen Jia Xin
Published: September 2012

The design methods of a kind of three-dimensional fuzzy controller and reasoning rules of its control algorithm, and the relevant simplification technology of three-dimensional table have been advanced in this paper. Self-optimized algorithm of the fuzzy controller has also been presented. The simulation results of high-order non-linear system and test of its practical applications have shown its good control effect.
Fabric Defect Classification Based on Local Binary Patterns and Tamura Method
Authors: Jing Jun Feng , Zhang Huan Huan , Wang Jing , Li Peng Fei
Published: September 2012

This paper aims at investigating methods for solving the problem of automated fabric defect classification which kind of defect has been occurred. Texture features for classification using local binary patterns and Tamura Method. These features are classified using the conjugate gradient BP network. Fabric samples are used in the evaluation and the experimental results obtained further confirm the designed algorithm achieved a high detection success rate.
Distributed Control Strategy for Dynamic Supply Chain Network
Authors: Dong Hai , Yuan Shi Nan , Zhao Wei Ling
Published: September 2012

A distributed control strategy based on model predictive control is applied to dynamic supply chain network. The optimisation-based controller aims at maximising customer satisfaction with the least operating costs. The model proves to be very useful in maintaining an inventory level that is just enough to satisfy customer demand. A move suppression term that penalises the rate of change in the transported quantities through the network increases the robustness of the control system. Dedicated feedback controllers are utilised to maintain product inventory at all nodes of the supply chain network within pre-specified target levels that are subsequently embedded within the optimisation-based control framework. Simulated results exhibit good dynamic performance under both stochastic and deterministic demand variations.
Application of Unpiloted Aircraft in Land Resource Management of Sichuan Province
Authors: Cheng Si , Chen Fei Yu , Wang Yun Sheng
Published: September 2012

For defects of traditional aviation photography and remote sensing satellite, developing unpiloted aircraft technology for land resource management in Sichuan Province is essential for land resource administration. Unpiloted aircraft technology is a development of traditional aviation photography, which wipes out many shortages of those technologies. It has features of low cost, easy control, quick responsiveness, high processing speed, and capacity of taking high definition aviation photography. This article focuses on features, system organization, and unsolved problems of unpiloted aircraft photography system. The research team has to use knowledge in many categories to design an unpiloted aircraft system, such as artificial intelligence, aviation, topography, and information technology. Moreover, this article introduces applications of this technology in land resource management, geo-hazard prevention, mineral resource protection, and many other orientations in Sichuan Province. In addition the perspective of using unpiloted aircraft in geo-hazard prevention is analyzed and some ideal results are also introduced.
Analysis for Predictive Control Algorithm in District Heating
Authors: Liang Tao , Guo Amei , Ren Hai Yan
Published: September 2012

Due to its characteristics of large time delay and large inertia, central heating pipe networks suits to be controlled by predictive control algorithm. In predictive control systems, adjustable parameters are immerged into the closed-loop polynomial and the explicit relationships are difficult to be found, which make the algorithm design difficult. In this paper, the closed-loop characteristics of multi-horizon predictive control strategy with feedback correction is analyzed, which shows that it is equivalent to a certain kind of pole-placement algorithm. This conclusion demonstrates the performance design of state-feedback predictive control easier to be achieved.
Remote Monitoring Control System of Yellow River Water Level Based on MCGS Configuration
Authors: Zhang An Ni , Shan Tie Cheng , Li Guang Yi
Published: September 2012

This paper describes the main features of MCGS, configuration process and the application of Visual Basic in remote monitoring. As an example to typical water level control system, we can develop a remote monitoring water level control system to simulate water level and flow measurement process by using configuration software package. According to the needs of process control experiment, with MCGS Configuration software, we can develop a Water level control experimental device constituted by 3 tanks, with MCGS and VB, we can achieve remote data acquisition, collect lower data with the help of Smart regulation instrument. Our experiment has confirmed its excellent monitoring results.
A New Extension Method in Diagnosis of Transformer Overheating Fault
Authors: Ying Zhan Feng , Chen Yun Yun , He Wei Chao , Wu Jun Ji , Feng Kai
Published: September 2012

For the transformer overheating fault diagnosis based on extenics, this paper proposes the extension diagnosis method that uses the matter element having all the characteristics and piecewise linearization correlation function. The method ensures the consistency of each overheating fault characteristics and overcomes the limitation of elementary correlation function in the infinite interval. The simulation result with 20 groups of overheating fault of which type is known shows that the proposed method overcomes the improved three-ratio method’s defects that multiple overheating fault can’t be diagnosed and the diagnosis precision isn’t high. Better diagnosis effect is obtained.
Dynamic Reaction Fitting for Gaseous Formaldehyde Detector with Unmeasured Data Prediction
Authors: Yuan Ye , Wu Zheng , Wang Yong Zhong
Published: September 2012

This paper focuses on the sparsity and artifacts of the dynamic reaction of gaseous formaldehyde detector, which results in a certain distortion in the fitting process. A new method based on linear regressive model with unmeasured data prediction using linear neural network is proposed . Linear neural network method has simple inferring rules and strong predictive capability for linear relationships. This predictive data can be obtained using the sequence near the end as the input signal of trained linear neural network model. Based on the extended data, a linear regressive model is introduced to fit the response curve of gaseous formaldehyde detector. Experimental results have shown that the presented method is valid and effective .
Digital Power Meter with Demand Control for Residential Energy Management
Authors: Wu Yu Chi , Chen Meng Jen , Chi Fu Hsiang , Lin Jin Yuan , Chang Chao Shu
Published: September 2012

In this paper, an energy-measurement-IC-based digital power meter is developed with demand control function for residential electrical energy management through wireless Zigbee and Internet. Several developed micro-controller-based modules are incorporated into this residential energy management system for demand control, such as infrared-controller module, infrared-learning module, and infrared-controlled switch module. This system can send the measured electricity utilization data through Wireless Sensor Network (WSN) and Internet to the remote server. The user can also control at any time the loads (appliances) at home through any computer or smart phone that is connected to the Internet.
Design and Analysis of Micro Plastic Heat Exchanger
Authors: Han Yue , Cai Heng Zhi , Zhang Ya Jun , Wu Da Ming , Wang Xin Liang
Published: September 2012

The heat exchanger is widely used in energy engineering, chemical engineering etc. And with development of the MEMS (Micro Electro Mechanical Systems), many researchers are interested in the micro heat exchanger. In this paper, the micro plastic heat exchangers are manufactured by modified PPS. A heat exchanger with polypropylene (PP) is also made for comparison. Simulation and experiment are carried out to determine the thermal performance of the micro plastic heat exchangers. The experimental results are compared with that of simulation. The results show the performance of the micro plastic heat exchanger is very close to that of metal heat exchanger with the same dimension.
Optimal Sensor Placement Based on Simulation of Gas Distribution in Underground Heading Face
Authors: Ma Feng Ying
Published: September 2012

The gas sensor is significant for coalmine production safety. In order to carry out optimal gas sensor placement in heading face, the software named Fluent was used to simulate underground gas distribution. Geometry model was established and divided by grids. Gas distribution in heading face was simulated using RNG k-ε model by Fluent according to conversation equation in turbulent state, turbulent kinetic energy equation and turbulent dissipation rate equation. The results show that gas is likely to accumulate in the upper corner, when wind passes through the corner after washing heading face, wind velocity is unstable, the performance of sensor placed in inner side of turning is different from that placed in outer side of turning. Distance of gas sensor to heading face should be no more than 10m which accords with the mine safety regulations well. The result shows that gas can be monitored effectively by applying this method which has an important value and instructive significance.
Application of Online Thickness Monitoring Technology of Blast Furnace Stack
Authors: Que Yao Hua , Li Shu Jun , Liu Yan Li , Zhang Xue Feng , Yang You Song , Cui Da Fu , Liu Xian Long
Published: September 2012

This paper introduces an online thickness monitoring technology of blast furnace stack. It describes the composition of monitoring technology, the basic principles and requirements of thickness measurement, and the features and functions of monitoring technology. Finally, the application of this monitoring technology in blast furnace stack thickness is analyzed and summed up.
A Novel Quadrilateral Projection Positioning Algorithm to Improve Ranging Accuracy of High Speed Stackers
Authors: Fu Pei Hua , Zhu An Ding
Published: September 2012

High speed stackers are the critical equipments for automated storage/retrieval systems to improve efficiency and throughput. And the positioning technique is the key to speed regulating. The low cost and easy installation indoor positioning of wireless sensor network is applied in this situation. A novel quadrilateral projection algorithm taken advantage of the linear moving of stackers is proposed to reduce the complexity of the algorithm and improve ranging accuracy of positioning.
Real-Time Online Monitoring of Transformer Losses and the Warning Devices
Authors: Liu Yong , Ding Liang , Tang Shi Long , Guo Min Yi , Zhang Zhan Long
Published: September 2012

Developing a transformer loss monitoring and warning online equipment, introduces the theory, composition and application of the system. The whole system consists of monitoring terminal and the monitoring center. Monitoring terminal obtains transformer loss by acquiring transformer secondary current signal. When transformer loss is high, the staff takes order to reduce the loss and improves energy efficiency according to the data.
Carplant MES (WinCC HMI) System Design
Authors: Sun Tao , Zhu Zheng Jia , Li Fan Bing
Published: September 2012

This paper describes the monitoring design on the MES system about the carplant. The network structure and hardware are discussed in general. The system combines information management with supervisory control and works well.
Design of Intelligent Protector for Mine Magnetic Starter
Authors: Zhang Chang Yong , Zhou Zhong Jing
Published: September 2012

A kind of intelligent magnetic starter was introduced. It can control the starting, maintaining and breaking of the AC contactor. The function of protector was to protect the motor when it was in the case of over-voltage, under-voltage, jam, overload, unbanlance and phase loss. It can also display the line voltage, three phase current of the motor, Moreover, the intercommunication between the protector and PC was realized.
Calibration Method for On-Machine Composite Inspection of Machining Center
Authors: Li Peng , Hu Ying , Ma Zi
Published: September 2012

For overcoming the problems of traditional on-machine inspection only depended on the touch probe, an on-machine composite inspection plan of machining center is put forward, and its composition and work principle are introduced. Based on the non-contact and contact inspection principle, the composite measuring head is designed, by which the inspection for the workpiece with high efficiency can be achieved. Aim at inspecting the workpiece machined accurately, different inspection models must be built, and the calibration method for composite inspection is presented. Finally, experiment verification is realized for the calibration method.
The Design of Automatic Test System Reliability for Wireless Data Link
Authors: Qiu Jian Dong
Published: September 2012

The requirement of the system reliability of the universal automatic test system for wireless data link is presented. Aiming at the design of the hardware electromagnetic compatibility and the mistake allowance of the software some methods are introduced as emphases. The application indicates that the stabilization and dependability of the subassembly fulfils the demand of the automatic test system.
Tracking Algorirthm Based on Location Prediction for Wireless Sensor Network
Authors: Liang Tao , Guo Jian Bing , Ren Hai Yan
Published: September 2012

In many wireless sensor networks tracking technologies,location-based pediction target tracking technology have a natural advantage of reducing the energy consumption of nodes in tracking the process. However, the existing location-based prediction target tracking algorithm is not perfect.So Location-Based Pediction Target Tracking Algorirthm (LBP) was proposed. There are three parts in LBP,target position prediction algorithm based self-simlar,target tracking based on dynamic wakeup cluster(DWC),and three levels recovery mechanism.
The Design of Small Vehicles Based on Virtual Reality Technology
Authors: Zhang Bao , Liu Zhi Feng , Liu Guang Fu
Published: September 2012

Virtual Reality, Automobile Model, Ergonomics, Aesthetics Abstract. In the process of design development for vehicles, Virtual Reality (VR) technology is the inevitable trend in future. The paper explores the foundation of automobile model based on VR technology. The automobile ergonomic analysis in virtual environment and the aesthetic utilization of VR technology in automobile design are also discussed in paper.
The Design of Company Attendance System Based on RFID and WSN
Authors: Wang Jie , Zhang Xiu Jun , Tang Shou Feng
Published: September 2012

Based on RFID and WSN, this paper designs a wireless attendance system. This system is mainly used for the corporate sector attendance.It can be able to overcome the problems such as error-prone and complicated wiring of existing attendance system. This system mainly includes RF information collection module, wireless transmission module, wireless receiver module and attendance information processing system. Multi-zone RF card information can be collected to send, receive and deal with so that this system can achieve the function of multi-sectoral attendance.
Logistics Technology Implantation for Food Cold Chain Based on VPT and IDEF0
Authors: Wei Zi Qiu , Li Ming Fang
Published: September 2012

The cold chain process has been analyzed systematically for purpose of technology implantation properly. Firstly, the optimal direction has been proposed through summarize the problems by means of functional modeling process analysis. Secondly, Value-process-technology hierarchical model at all levels has been built to enhance the correspondence during technology, processes and value. At the same time, the value system model of cold chain, process system model of cold chain and technology system model of cold chain have been constructed. Finally, during these processes, empirical study was introduced to enhance the analysis of food cold chain logistics technology implantation.
Remote Monitoring System for Landslides Based on GSM Networks
Authors: Wu Chuan , Wen Guo Jun
Published: September 2012

Geological disasters of landslides happen occasionally because of some frequent and no planning mining activities, infrastructure construction, or geological causes. Aimed to the disadvantages of existing manual searching method for landslides, a kind of landslide remote monitoring system using mobile GSM network for data transmission is designed and tested. The experimental result shows that the launch and receiving terminal of remote monitoring system are feasible.
Design of Office Intelligent Fire Monitoring System Based on ZigBee
Authors: Hou Jian Hua
Published: September 2012

In order to use of modern means of science and technology to the greatest degree of reducing fire damage to human life and property, this paper adopts the Zigbee wireless module to develop a Intelligent fire control system of office building , which can realize the indoor temperature, Co and concentration of smoke detection[1].The system consists of a sensor circuit, serial to Zigbee wireless, main control chip, executing mechanism and other components, using VB6.0 programming software, can realize the office environment real time data acquisition, real-time data curve drawing, historical data curve display, real time control parameters modification, thus realizing the office building fires monitoring and control.Keywords: intelligent fire, Zigbee wireless module, real-time information acquisition.
The Realization of a New Algorithm of Video Image Noise Elimination Algorithm Based on FPGA
Authors: He Hong Kun , Tang Rui Yin
Published: September 2012

Aimed at the problem that video image is often affected by noises, the principle of median filtering and improved algorithm is analyzed. A new algorithm of noise elimination is presented, whose experiment on video processing hardware shows its reliability and advantage: image noise can be removed and image details can be preserved effectively.
Effect of Aluminum Honeycomb Cell Geometrical Parameters on Efficiency of Material
Authors: Xie Gui Lan , Liu Ye Hua , Gong Shu Guang , Guo Jin
Published: September 2012

The micromechanical model for predicting macroscopic effective elastic coefficients of aluminum honeycomb cores is established based on homogenization theory combined with FEM method. The effects of aluminum honeycomb cell geometrical parameters on the efficiency of materials are investigated based on the concept of material efficiency. By using MATLAB language, the material efficiencies of irregular orthotropic hexagonal aluminum honeycomb cores with various height-to-length ratio, thickness-to-length ratio and cell wall angle are simulated. The effects of cell geometrical parameters on the efficiency of material are obtained. The light-weight design for aluminum honeycomb core is analyzed in further. The results have guiding signification for the optimization design and engineering application of aluminum honeycomb core materials.
A Temperature-Measuring System on the Gun-Barrel Bore of Armor-Artillery Base on 80C196 MCU
Authors: Liu Guo Qiang
Published: September 2012

when the artillery gun, high temperature propellant gas and cartridge friction would bring serious thermal-influence to the Gun-barrel, they were erosion, abrasion, thermal stress and thermal deformation, and so on. All these would reduce the muzzle velocity，cannon-shot and accuracy, and limit the performance of guns, so its become the restrictions to improve gun power. From some research, all these bad influence relate on the temperature. In order to reduce these bad influence we would know the temperature change during gunning. So it is important to accurately measure the temperature of inner Gun-barrel bore, it is main aim of the paper. In this paper we would utilize the heat-transfer theory to study the temperature distributing in the canal, and apply the film-thermocouple sensor to measure the transient temperature distribute and apply Microcontroller-unit(MCU) technology to deal with these collected data, and then. We would apply compiled software that base on the extrapolation method to calculate the canal temperature. The temperature would offer a reference for take some methods to debase the canal interior temperature. Through some practice measure, the experiment data could arrive at the anticipative aim.
Design of Variable Frequency Speed Control System Base on PLC and Fuzzy Algorithm
Authors: Yan Ming Jun , Yan Shao Feng
Published: September 2012

Aiming at ac motor closed-loop control difficult, a frequency conversion system was designed base on PLC and fuzzy algorithm. This paper deals with a PLC and frequency converter controle AC induction motor method, as well as constructed two-dimensional fuzzy controller by PLC, realize the dynamic control of nonlinear systems, avoiding the complexity of modeling, improve the system stability and anti-jamming capability. On-site testing shows that this system has a high intelligence and better robustness, can frequency control of motor speed accurately.
The Finite-Element Analysis of the Main Frame of the Airborne Photoelectric Platform
Authors: Hu Yong , Song Jin Gan , Zou Qing , Zhu Ke , Wang Xiao Long
Published: September 2012

Because both of the volume and the weight of the photoelectric platform are small, the structure of two frames and two axes is used in the photoelectric platform. As the key component of the photoelectric platform, the main frame should have sufficient strength and rigidity. In order to achieve this object, three-dimensional entity model of the main frame is established using CATIA software. Then the finite-element analysis of the model is finished with ANSYS Workbench. Based on the analysis results, the weak links of the main frame is found. Then these links are improved and the main frame is analyzed again. After improving the structure, the results of the finite-element analysis show that the main frame meets the requirements of design and has perfect overall performance.
An Adaptive Pattern Recognition Algorithm in Coal Dust On-Line Measure
Authors: Ma Feng Ying
Published: September 2012

It is crucial to measure dust concentration precisely, but it normally varies with changes of working conditions. To increase precision and on-line performance of coal dust sensor, an adaptive pattern recognition algorithm was presented. The signals of unitary angular spectrums were chosen as the adaptive eigenvector for pattern recognition and pattern bank was established in advance. Furthermore, the ratio of the sum of inner signals to that of outer signals about the diffraction angular was considered as the eigenvector of subclass pattern classification. After classification, pattern could be recognized easily and rapidly. Subsequently, number of detailed patterns within different pattern groups was increased reasonably. The errors of total coal dust and respiring coal dust decline from 6% to 2.5% and from 9% to 3%, respectively. As a result, the precision of sensor achieves 95% during the measurement. It can be concluded that the adaptive pattern recognition algorithm is effective to improve the precision and real-time performance of coal dust sensor.
Back Analysis of Material Parameters of Concrete Dam Using Genetic Algorithm
Authors: Liu Jin Bao , Li Shou Ju , Zhu Wei
Published: September 2012

The inverse problem of parameter identification is deal with by minimizing an objective function that contains the difference between observed and calculated dam displacements. The optimization problem of minimizing objective function is solved with genetic algorithm. The calculated dam displacements are simulated by using finite element method according to water level change acting on dam upstream. The practical dam displacements are observed on the dam crest. The investigation shows that the forecasted dam displacements agree well with observed ones. The effectiveness of proposed inversion procedure is validated.
Application of Neural Network for Nonlinear Predictive Control
Authors: Xu Zhi Cheng , Zhu Bin , Jiang Qing Bin
Published: September 2012

A novel model predictive control method was proposed for a class of dynamic processes with modest nonlinearities in this paper. In this method, a diagonal recurrent neural network (DRNN) is used to compensate nonlinear modeling error that is caused because linear model is regarded as prediction model of nonlinear process. It is aimed at offsetting the effect of model mismatch on the control performance, strengthening the robustness of predictive control and the stability of control system. Under a certain assumption condition, linear model predictive control method is extended to nonlinear process, which doesn’t need solve nonlinear optimization problem. Consequently, the computational efforts are reduced drastically. The simulation example shows that the proposed method is an effective control strategy with excellent tracing characteristics and strong robustness.
Risk Analysis of Distributed Energy Source in the Smart Grid
Authors: Shen Jing Shuang , Jiang Chuan Wen
Published: September 2012

This paper reviews the distributed energy source in the smart grid and it’s advantage. The risk of distributed energy source is analyzed. The value of risk (VaR) is studied in this paper. It is important to improve the new energy and build the smart grid in the future.
The Liquid Level Measuring Device in Truck Based on ZigBee
Authors: Lin Hai Bo , Zhou Ji Xin , Cao Hui , Feng Nian Teng , Yi Chui Jie
Published: September 2012

Because of the separation of modified truck’s cab and car tank, there must set long wires to transmit the signal. A liquid level measuring device for truck is designed and developed in this article. Using the ZigBee technology, a wireless data transmit mode, including the hardware and the software, is realized. A compensation and correction method is discussed on the basis of the ultrasonic transmission theory. This device has a simple structure, high precision, low cost, easy to install and so on.
Design of a Parallel Ultrasonic Inspection System for Wheels of High Speed Trains
Authors: Wang Jin , Sun Zhi Ling , Guo Qi Chang , Huang Min Quan
Published: September 2012

This thesis proposes a new inspection system for wheels of high speed trains, using Piezoelectric ultrasonic technology and parallel processing technology. This system allows all the wheelsets mounted in a train to be inspected within a few minutes. When a train passes through the testing line at low speed(3-5Km/h), wheel tread contact with the probe arrays in turn, which are installed inside of a special rails. Meanwhile, ultrasonic controllers stimulate the probes , collect inspection data and transfer the data to the host computer. Application results in field are presented to verify the effectiveness of the proposed structure.
Simulation Research on Urban Traffic Integration Control System Based on Multi-Agent
Authors: Geng Jia Zhou , Cheng Peng , Zhang Fei Zhou
Published: September 2012

In order to solve the key problems of urban traffic in China, the intelligent means and approaches, combined with artificial intelligent with tradition control ones, are adopted in the paper. Some hypotheses are elicited on the basis of the characteristics of Chinese urban traffic control system structure and functional requirement, a frame structure of urban traffic intelligent control system is stated based on multi-agents cooperation. Some better design ways and means for urban traffic real-time, rational and reasonable control system is established according to the frame structure, the system design of urban cross control and area control based on multi-agents is implemented. Simulation results show that urban traffic integration control with multi-agent excels timing control in latency time. In this way, successful realization of goal for urban traffic intelligent control is insured so as to increase the capacity of urban road network and to improve our urban traffic control and management modes. Therefore quality of urban surroundings will be enhanced. And the comfortable and delightful traffic surroundings will be built.
Machining Process Parameters Optimization Based on Grid Optimization Algorithm
Authors: Deng Chao , Xiong Yao , Wang Yuan Hang , Wu Jun
Published: September 2012

Machining process parameters directly affect the machining quality and efficiency of heavy-duty CNC machine tools, selecting correctly machining process parameters can improve the machine’s machining performance effectively. This paper presents a machining process parameters optimization method based on grid optimization algorithm for heavy-duty CNC machine tools. In this method, a multi-objective optimization model will be established, which considers not only the linear constrains of machining process parameters, such as machining time and machining cost, but also the non-linear constrain, such as chatter in machining process. Grid optimization algorithm will be adapted to search the optimal combination of machining process parameters from the multi-objective optimization model. In the end, this paper will present an example to verify superiority of the multi-objective optimization method by comparing with single-objective optimization method.
Comparative Study of Support Vector Machines and Neural Networks Used in Pattern Recognition
Authors: Zhu Shu Xian , Zhu Xue Li , Guo Sheng Hui
Published: September 2012

Artificial neural networks and support vector machine (SVM), as two important tools, have widely applied in artificial intelligence and pattern recognition. In this paper, a comparative study has been done for making an analysis on their performances, when they are used in pattern recognition. Through theoretical analysis and confirmed by experimental results, a conclusion can be drawn that support vector machines have obvious advantages over those of traditional neural networks.
A New Fast Similarity Metric Algorithm Based on Contour
Authors: Wang Jing Jing , Wang Hong Jun , Yin Yong
Published: September 2012

The similarity metric is a key on image registration. This paper divides similarity metric algorithms into two classes: similarity metrics based on pixels (or voxels) and similarity metrics based on image features. For those images that acquired contours easily, this paper proposes a new fast similarity metric arithmetic based on scan line. This algorithm is insensitive to illumination change and is robust without considering gray level of pixels (or voxels). In addition, this arithmetic does not consider all pixels (or voxels) in image, but consider pixels (or voxels) in the range of contour. So it is very simple and fast. It is not only suitable for 2D images but also suitable for higher dimension images. In experiment we use Laplacian pyramid to decompose image and use snake model to detect image contour. Lastly we give a novel registration result.
Polynomial Model Set and its Interacting Multiple Model Algorithms
Authors: Zhao Jin Xiao , Zhang Jian Qiu , Zhou Dong Ming
Published: September 2012

From the maneuvering target orbit on the geometrical properties, according to different motion modes track corresponding to different order number polynomial curve, using the least squares fitting structure, this paper gives out a group of various motion modes matching the mathematical model—polynomial model set (PMS), and gives distinct mathematical process. PMS covers all the motion modes theoretically, easy to choose according to the practical situation and expand, especially suitable for single model can not accurately describe the complex sports scene. The model need not consider sampling interval, without lowering the filter performance at the same time, reduced prior knowledge dependence. Finally, simulation results indicate that the correctness and validity and practicality.
EM-Based Nonideal Iris Boundary Localization
Authors: Wan Hong Lin , Li Bao Sheng , Han Min , Li Deng Wang
Published: September 2012

Nonideal iris segmentation is a great challenge in iris recognition, and many researchers have stressed this problem. Since critical step of segmentation is localizing iris center and detecting interior/outer boundaries, we presents a novel method based on EM algorithm to deal with it. EM algorithm is capable of automatic threshold, therefore candidate pupil can be obtained and followed by an innovated fast iris center searching by using strings equilibrium scheme. We also give the region-based outer boundary localization with implementation of order statistical filters (OSF). Experiments demonstrate a high correct segmentation ratio (CSR) of more than 98% has been achieved when using CASIA-IrisV3 Interval and CASIA-IrisV3 Lamp databases.
Material Texture Contourlet Retrieval by Energy and Variance Distribution Features
Authors: Chen Xin Wu , Ge Jing , Che Li Ping
Published: September 2012

contourlet transform can extract image texture information more efficiently than wavelet transform and has been studied for image de-noising, enhancement, and retrieval situations, its low retrieval rate are still not satisfied due to feature extraction and other reasons. Focus on improving the retrieval rate of contourlet transform retrieval system, a new feature named variance distribution was proposed and a contourlet retrieval system was constructed in this paper. The feature vectors were constructed by cascading the energy and variance distribution of each sub-band coefficients and the similarity measure used here was Canberra distance. Experimental results show that using the new features can make a higher retrieval rate than the combination of standard deviation and energy which is most commonly used today under the same retrieval time and hardware complexity.
A New Mistuning Form in Periodic Structure - Force Mistuning
Authors: Yang Guo Hui , Wang Ai Lun , Cao Xu Hui
Published: September 2012

The mistuning of periodic structure was generally considered to be natural parameter mistuning, such as stiffness mistuning, damping mistuning and mass mistuning. However, in engineering practice, there was another kind of mistuning——force mistuning, which has not been studied yet. Based on a typical concentrated parameter model of periodic structure, the vibration characteristics, such as natural characteristic, vibration mode and vibration localization of periodic structure with different mistuning forms, were compared and analyzed. The results show that, as a new mistuning form, force mistuning won’t bring mode localization, while it could lead to vibration response localization
Path-Following for a Cutting Tool Subject to Stochastic Disturbance
Authors: Wang Qiang De , Wei Chun Ling
Published: September 2012

We extend the path-following problem of deterministic systems to stochastic nonlinear systems in this paper. By using backstepping design method and Ito differential formula, a smooth controller consist of a dynamic control law with a filtered-gradient update law has been designed for a cutting tool subject to stochastic disturbance. The controller can guarantee all the signals of closed-loop systems bounded in probability and the output signal track the given anticipant path with the speed assignment.
Study on Thread Foreign Matter Separation Key Technology Based on Intelligent Method
Authors: Liu Shu Qing , Zhang Wan He
Published: September 2012

Efficient separation of cotton foreign fiber is an important and difficult task in spinning industry. For the main problems of foreign matter separator, This paper proposes cotton foreign fiber detection arithmetic based on multi-scale wavelet transform and fuzzy methods. Firstly, the image is executed through multi-scale wavelet transform in order to detect the line edge of foreign fiber. Then the size of line edge is mapped to membership space. The line edge recognition is carried out through compares the sum of all memberships with threshold value. This method can restrain the interference of cotton image texture. The practice proves this arithmetic meets the need of industry.
An Improved K-Medoids Clustering Algorithm
Authors: Meng Ying , Luo Ke , Liu Jian Hua
Published: September 2012

Because of the traditional K-medoids clustering algorithm the initial clustering center sensitive, the global search ability is poor, easily trapped into local optimal and slow convergent speed; therefore, this article proposes an improved K-medoids clustering algorithm. Differential evolution is a kind of heuristic global search technology population, has strong robustness. Combined with K-medoids clustering algorithm efficiency and the global optimization ability of DE algorithm, not only can effectively overcome the detects of the K-medoids clustering algorithm, but also can raise the global search capability, short the convergence time, effectively improve the clustering quality. Finally, the algorithm is verified stability and robustness by simulation.
Preparation of Medium-Sized Tungsten Particles via the New Method
Authors: Fu Xiao Ming
Published: September 2012

Medium-sized tungsten particles are obtained through circulatory oxidation-reduction twice. The samples are characterized by laser particle size analyzer and scanning electron microscope (SEM). Blue tungsten oxide (BTO) is prepared with ammonium paratungstate (APT) in the argon gas. Tungsten powders are obtained with BTO through deoxidation in the hydrogen gas (Rate of purity: 99.99%, dew point: -40°C), and tungsten powders are oxidized in the air. Tungsten oxide WO3) is reduced into tungsten powders in hydrogen gas again. The routes are repeated. The volume percent content of medium-sized tungsten powders between 3 μm and 10 μm is 83.86 %.
Intrusion Detection Technique Based on the Grey Theory
Authors: Gao Qun
Published: September 2012

The detection technique is designed and equipped to ensure the security of the computer system, and to find and report the unauthorized and the abnormal phenomena of the system on time. It is a technique used to detect the behavior that goes against the security principle of the computer system. The author applies the grey theory to build a instrusion detection data based on GM(1,1)model to compensate the data preprocessing model, and an index reducing algorithm which is based on grey relation. They have some characteristics, such as a few samples, low complexity, easy procedural realization, and can solve the renewed samples quickly. We have had a demonstration analysis, which shows that these models can help to reduce the occupied system resources obviously, enhance the timeliness and accuracy, and reduce rate of undetected errors and false retrieval.
Research on UCAV Efficiency Evaluation Method
Authors: Zhou Xiao Cheng , Wang Cun Ren , Yan Jian Gang
Published: September 2012

UCAV will play a more and more important role in future fight. UCAV efficiency evaluation method is still in the developing stage. UCAV fight elements are analyzed that include reconnaissance elements and attacking to ground elements. Basing on analysis of UCAV reconnaissance efficiency and attacking ground efficiency, UCAV reconnaissance efficiency model and attacking ground efficiency model are constructed. The feasibility and validity of model is validated by arithmetic example.
Study on Phase-Shifting Profilometry of Tilted Measurement System
Authors: He Bai Tong , Xu Jian Liang
Published: September 2012

Based on research of the traditional phase-shifting profilometry (PSP) method, a tilted measurement system is proposed. The proposed technology makes three constraints of the traditional phase-shifting profilometry measurement system less constrains. The exit pupil of the projecting system and the entrance pupil of the CCD imaging system are not horizontal and not placed at equal height. The optical axis in the CCD imaging system is not necessarily perpendicular with a specific tilting angle to the reference plane. The optical axises of the CCD imaging system and projecting system are not coplanar. The two axises do not intersect with each other. Compared to the traditional phase-shifting profilometry the proposed method offers a flexible way to calculate height distribution.
In Situ Observations of Lateral Growth Rate of δ- Phase during Solidification of Fe-0.2%C-0.6%Mn Steel
Authors: Li Li Xin
Published: September 2012

The δ-phase growth process of Fe-0.2%C-0.6%Mn steel during solidification was in-situ observed using Confocal Scanning Laser Microscope (CSLM). The effects of shape of solid/liquid interface on the growth rate were investigated. The results indicate the growth rate of concave-shaped solid/liquid interface is faster than that of convex-shaped solid/liquid interface at the beginning of δ-phase growth. The two kinds of growth rates decreased both and approached to the same gradually as the solidification continues. The intrinsic reasons were discussed in detail.
Analysis and Modeling of UML-Based Multiple Noise Measuring System
Authors: Wang Sheng Bao , Zhang Jun , Hu Xiao Chang
Published: September 2012

UML is employed to greatly improve the development speed and quality of embedded system and to raise the reusability of the system. The design concepts are shown graphically, which is helpful for the intercommunication of people from different fields. Easy intercommunication is surely beneficial for the development, maintenance of the system and the design of subsequent production line. The paper analyzes the process of applying UMB to the embedded system and the ways of modeling through the analysis of a multiple noise test system.
Tracking Control of Underactuated Unmanned Surface Vessels Based on the Dynamic Fuzzy Neural Network
Authors: Hu Yun Yan , Zhang Guo Cheng , Wan Lei
Published: September 2012

This paper proposes a dynamic fuzzy neural network (DFNN) for the tracking control of the underactuated unmanned surface vessels. The dynamic fuzzy neural network control algorithm has the advantages of both fuzzy logical and neural network. The algorithm adjusts the structure and parameters on line at the same time to make the tracking effect of the system being fast and accurate, while it doesn’t need confirm the fuzzy rules and the nodes of hidden layer. The simulation experiments based on the proposed control algorithm are carried out and the simulation results validate its effectiveness.
Effect of Retrogression Time on the Mechanical Properties and Stress Corrosion Cracking Behavior of 7A60 Aluminum Alloy
Authors: Wang Xue Hui , Wang Ji Hui , Song Jie , Fu Cong Wei
Published: September 2012

7A60 aluminum alloy was treated under different retrogression time, and the micro-structure, mechanical properties and stress corrosion behaviors were observed and determined by optical microscopy, transmission electron microscopy and slow strain rate tester. The results shown that with the increasing of retrogression time the precipitates within the grains were gradually grown up, and the precipitates along the grain boundaries were changed from small and closely spaced into coarse and widely spaced ones. The elongation and toughness ratio of 7A60 alloy increased obviously with the retrogression time, whereas the tensile strength and hardness of 7A60 alloy decreased. The optimum retrogression time is about 60min, under which 7A60 alloy has a best combination of tensile strength, ductility and stress corrosion resistance.
Comparison of Thinning Features of a Hot and Cold Stamped Aluminium B-Pillar Model for Passenger Cars
Authors: Fu Lei , Wang B.Y. , Meng Qing Lei , Zhou Jing , Lin Jian Guo
Published: September 2012

To overcome low formability and springback problems in forming aluminium panel parts, a novel process of hot stamping is introduced in this paper. It is good plasticity and low deformation resistance when aluminum alloys under high temperature, which makes it possible to form complex parts such as B pillars. Finite element method is used to analysis the thinning regions in this part, it can be acquired that the quality of the part in hot stamping is better than in cold stamping.