Keywords- fabric defect detection, classification, Gabor filter, PID, Elman neural networ.
Speech as a High Level Control for Teleoperated Manipulator Arm
Ibrahiem M. M. El-Emary1
1Faculty of Information Technology
King Abdulaziz University
Jeddeh, King Saudi Arabia
E-mail: omary57@hotmail.com
Mohamed Fezari2 & Hadj Ahmed Abbassi3
2,3Laboratory of Automatic and Signals, Annaba
University of Annaba
Annaba, Algeria
E-mail: Mohamed.fezari@uwe.ac.uk,
E-mail: abbassi@uni-annaba.org
Abstract--In this work a tele-operated system for a robot arm is designed and controlled by the operator, in witch voice control mode occur to carry out remote tasks. A voice command system for the manipulator arm is implemented as a high level control design and compared to a low level control design based on joystick. The high level control paradigm adopted is based on a spotted words recognition system using stochastic model, robust HMM (Hidden Markov Model) with Cepstral coefficients as parameters witch is used in automatic speech recognition system. To implement the approach on a real-time application, a Personal Computer USB interface was designed to transmit commands via Bluetooth components to control the movement of a Robot Arm (the TR-45). The user can control the movements of four degree of freedom (DOF) for TR-45 using a vocal phrase containing spotted words or using a joystick.
Keywords- Human-machine interaction, hidden Markov Model, voice command, stepper motors and Robotics.
The Fault Diagnosis for the Screw Rotor of the Single Screw Compressor Based on Wavelet Finite Element Method
ZHAO BIN
School of mechanical Engineering
Liaoning Shihua University
Fushun, China
E-mail: zbzbz0203288@163.com
Abstract—The screw rotor was a main part of the single screw compressor. The crack of the screw rotor would lead to fault of the single screw compressor. Therefore it was necessary to have fault diagnosis for the screw rotor. The wavelet finite element method was used to analyze the fault of the screw rotor. The changes of the natural frequency reflected the location and sizes of the cracks. The effect of main sizes including the length, the width and the depth on the natural frequency was studied, which offered the theoretical guidance for the fault diagnosis of the screw rotor in the further researches.
Keywords-single screw compressor; the screw rotor; wavelet finite element ; fault diagnosis
Research on Reducing Torque Ripple of DTC Fuzzy Logic-based
Gao Sheng-wei1.2, Wang You-Hua1, Cai Yan2, Zhang Chuang1
1. Province-Ministry Joint Key Laboratory of EF and
EAR. Hebei University of Technology
Tianjin, China
gaoshengwei1978@126.com
2. School of Electrical Engineering and Automation
Tianjin Polytechnic University
Tianjin, China
Abstract—The direct torque control (DTC) technique has been widely used as a control strategy for motor drive system. High torque ripple is a major problem when the motor is running at low speed in DTC system. By analyzing the causes of torque ripple, it is can be found that the change of the speed error signal is a good indicator to determine the situation of motor torque ripple. In this paper, a DTC strategy with a fuzzy logic controller has been proposed. The inputs of the fuzzy controller are the speed error signal and the change rate of current signal. The output is incremental value of the torque hysteresis amplitude. Dynamic adjustment of the torque hysteresis amplitude is the ultimate goal. The simulation results show that the DTC system with hysteresis amplitude adjustment fuzzy logic controller can reduce the pulsation of the motor torque and flux, and improve the performance of low-speed operating conditions.
Keywords-fuzzy logic; torque hysteresis; amplitude adjustable; direct torque control
RBF Neural Network Based Prediction for Target Tracking in Chain-type Wireless Sensor Networks
Chen Guangzhu, Zhou Lijuan, Zhu Zhencai,Zhou Gongbo
School of Mechanical & Electrical Engineering
China University of Mining & Technology
Xuzhou, Jiangsu, China
cgzhu@126.com
Abstract—A target tracking is an important embranchment of WSN, which can assure the position of a moving target real-time. This paper works on the prediction problem of target tracking of chain-type wireless sensor networks. We choose RBF neural network as the basis of the tracking prediction model. Based on analysis of chain-type tracking characters and RBF neural network based tracking prediction model, we build a target tracking prediction algorithm. The target tracking prediction problems of moving objects in coal tunnel are simulated and the simulation results show that a moving target can be traced real-time and accurately using the presented tracking prediction model and algorithm.
Keywords-WSNs; RBF Neural Network; Prediction; Target Tracking
Secure mobile payment based on Super SET protocol
WAN Zhongbao1
Information Security Center, East China Jiao Tong University, Jiangxi, Nanchang, 330013 China
Email: nj_qwang@163.com
Wang Qing2
Information Security Center, East China Jiao Tong University, Jiangxi, Nanchang, 330013 China
Email: wqzone85@126.com
ABSTRACT: Under the premise of fully analyzing the security requirements and security threats of mobile payment, the analysis of secure mobile payment based on SET protocol in the WAP environment has been made, then, this paper points out its various flaws exist in the transaction process. Meanwhile, making improvements on the basis of the original Mobile Payment based on SET protocol, then proposed Mobile Payment based on Super SET protocol. The adoption of the advanced mechanism, the credit hierachical system, the dispute arbitrate mechanism and the virtual user information system etc, which strenthened and perfected the security and non-repudiation of the mobile payment based on SET protocol., and satisfied atomic transactions and the privacy safeguarding. The Mobile Payment based on Super SET protocol has improved the whole transaction process of the mobile e-payemt transaction and all the parties’ interests have been guaranteed practically.
KEYWORDS: Super SET protocol,;Secure Mobile payment; Credit hierarchical system; Wireless Application Protocol
Dynamic modeling of Multi-Axis Synchronous Gantry Machining Center
Guo-ning SI, Yue-qing YU, Jian-xin YANG, Zhen ZHANG
(College of Mechanical Engineering and Applied Electronics Technology,
Beijing University of Technology, Beijing 100124, China)
e-mails:siguoning@emails.bjut.edu.cn
Abstract The dynamic model of a multi-axis synchronous gantry machining center VX32-60 is developed based on the finite element method. Both the numerical simulation and the modal experiment are studied. The nature frequencies and mode shapes are obtained by theoretical analysis and experimental results. The effects of material parameters and section parameters on the dynamic characteristics of multi-axis synchronous gantry machining center are investigated. The design optimization method of these parameters is proposed, which increases the nature frequencies of machining center and reduces the motion error.
Key words: Synchronous gantry machining center; dynamic model; dynamic characteristics; nature frequency
Research and Realization of Multi-level Encryption Method for Database
Zhou Yuping,
Information Science and Technology School
Hainan Normal University
Haikou , Hainan, China
e-mail:hnzhouyp@126.com
Wu Xinghui
Information Science and Technology School
Hainan Normal University
Haikou , Hainan, China
e-mail:szfwxh@hainnu.edu.cn
Abstract—Multi-level encryption method was used to encrypt the database system and encryption design method for different levels of data granularity was given, respectively taking database level, table level, recording level and field level as the objects.
Keywords- Database encryption;data table encryption; record encryption; field encryption
Research on Suspension System based
on Fuzzy Logic Control
Chuan yin TANG
School of Mechanical Engineering and Automation,
North Eastern University,
Shenyang, China
monsigor @yahoo.com.cn
Guang yao ZHAO
School of Mechanical Engineering and Automation,
North Eastern University,
Shenyang, China
gyzhao @me.neu.edu.cn
Wei ZHOU LIxin Guo
Ministry of Communications Research Institute of Highway School of Mechanical Engineering and Automation Beijing North Eastern University,
zw5979@163.com Shenyang, China
Abstract—In this paper, a six degree of freedom half body vehicle suspension system is developed and the road roughness intensity is modeled as a filtered white noise stochastic process. Based on control theory, the fuzzy control system of the active suspension is established. With the aid of software Matlab/simulink, simulation process is done. Simulation results indicate that the proposed active suspension system proves to be effective in the vibration isolation of the suspension system. A mechanical dynamic model of the two degree of freedom quarter body of vehicle suspension system is
Keywords- suspension control; fuzzy logic; ADAMS; simulink Introduction Introduction (Heading 1)
Shape-based Interpolation of Grey-level Images
Qian Jin, Song Shuni,Wu Jian,Feng Nan,Shi Datao
College of science
Northeast University
Shen Yang
qian_jin2000@126.com, songsn@126.com
Abstract—The two given gray images are preprocessed, including filtering image processing, on the fault slice image binarization segmentation processing and image of the two distribution centers. Mathematical morphology is used to acquire the contour of the interpolated image. Then, the corresponding points are identified respectively in the two images through calculating the relation between the arbitrary point of contours and the focal point of the angle. If the grey value of both of the corresponding points are close to each other, linear interpolation is used to calculate the grey value of the interpolated point. But if the two corresponding points have distinct grey value, a method to calculate the interpolated point’s grey value is presented. Once all point’s grey value are acquired, the final interpolated image is accomplished. The experimental results show that this new method is effective.
Keywords- Image Interpolation, Mathematical Morphology, 3-D Reconstruction
Development of an Autonomous Control System for a Small Fixed Pitch Helicopter
Owen McAree, Jonathan Clarke, Wen-Hua Chen
Department of Aeronautical and Automotive Engineering,
Loughborough University,
Loughborough, United Kingdom
e-mail: {O.McAree, J.H.A.Clarke, W.Chen} @lboro.ac.uk
Abstract—The indoor test bed of the Autonomous Systems Laboratory has been used to create a control system for a small fixed pitch helicopter. This paper outlines the challenges posed by such a vehicle and the control system designed to overcome them. The control system utilized a visual tracking system to obtain state information without onboard hardware. Matlab/Simulink environment was used to facilitate rapid prototyping control development. An autopilot consisting of multi-channel PID controllers was implemented for flight tests. Failsafe strategies and gain scheduling were both investigated and implemented with the use of a graphical user interface. A number of flight tests were conducted and the results are provided. The future work of the laboratory is also covered.
Keywords-helicopter; autopilot; flight test; gain scheduling; tracking
A Novel Framework for Miscellaneous Data Aggregation
in Wireless Sensor Networks Paper Title
Feng TIAN, Er-qing XING, Chuan-yun Wang
College of Computer Science
Shenyang Institute of Aeronautical Engineering
Shenyang, China
{tianfeng5861,xingerqing,wangcy0301}@163.com
Abstract—considering the data-centric feature of wireless sensor networks and different data has the different requirement of real-time. A new data aggregation algorithm-Miscellaneous data aggregation algorithm based on timeliness of data in wireless sensor networks (MDA) is proposed. This algorithm can adaptability adjusts the data fusion strategy according to the results of the analysis of data time-lines in Application Layer. Moreover, AIDA Layer can dynamically control the degree of aggregation (DOA) in accordance with changing traffic conditions. According to theoretical analysis and calculation results, the algorithm can both satisfy the real-time requirement of different data and decrease the number of redundant data, save energy.
Keywords: WSNs; data aggregation; data timeliness; degree of aggregation; aggregation latency
Parallel Simulation of Large-scale Microscopic Traffic Networks
Wei Dai, Jiachen Zhang
Department of Computer Science and Technology
Jilin University
Changchun, China
david19842003@gmail.com, zhangjc@jlu.edu.cn
Dongliang Zhang
Department of Computer Science and Technology
Tongji University
Shanghai, China
zhangdongliang_cn@hotmail.com
Abstract—Microscopic traffic simulation is an effective way to analyze the feature and behavior of transportation systems. However performing microscopic simulations for large-scale networks remains a huge computing problem. Intensive computation characteristics displayed in traffic simulation can benefit from parallel, distributed processing. Based on simplified models, a MPI based distributed parallel traffic simulation system is implemented. And by applying monolateral communication strategy, a high performance is acquired.
Keywords-parallel simulation; traffic network; MPI; monolateral communication
Advanced Algorithms in Audio Steganography for Hiding Human Speech Signal
Dmitriy E. Skopin1, Ibrahim M. M. El-Emary2
1FET, Al'Balqa Applied University
Amman, Jordan
e-mail: m825453@yahoo.com
2Faculty of Information Technology, KAU
Jeddeh, Kingdom of Saudi Arabia
e-mail: omary57@hotmail.com
Rashad J. Rasras3, Ruba S. Diab4
3,4FET, Al'Balqa Applied University
Amman, Jordan
e-mail: rashad_ras@yahoo.com
Abstract— on a sociological level, having finally taken a foothold during the internet generation’s explosive growth of the 1990s, steganography serves as a means for private, secure and sometimes malicious communication. On a technical level in this thesis, we have proposed two methods of steganography: one of them is based on the technology of spectrum shift, when the distribution of human speech becomes located in unheard places of music spectrum. The second one is based on the technology of spectrum spreading when harmonics of human voice and music are mixed between each other then the Inverse Fourier transform is applied to form a new signal in time domain. Most important technical sound of this project is attempting to implement methods of analog audio steganography, which allow embedding human speech signal to the sound file
Keywords- Audio steganograph; speech signal; data hiding
Generalized Predictive Control Algorithm Applied to Thermal Power Units Based on PID Neural Network
Chunyan Du
College of Information Engineering
Inner Mongolia University of Technology
Huhhot, China
e-mail: dcy1096@yahoo.cn
Hujun Ling
College of Information Engineering
Inner Mongolia University of Technology
Huhhot, China
e-mail:1052117614@qq.com
Abstract—Large-scale Generating Unit in heat power is a system which is complex nonlinear, multivariable, time-variant with long-time delay and difficult to establish accurate model, and etc. So it is hard to make system gain optimum running effect with conventional control strategy. A PID network which has dynamic character is used to identify the coordinated control system for establishing a predictive model of generalized predictive control strategy. The Generalized predictive control strategy has some beneficial characteristics such as wide application and strong robustness. It achieves predictive control with online rolling optimization and real time feedback revision. The results of the emulation show the availability of it.
Keywords-pid neural network; generalized predictive control; thermal power unit
SAR Imagery Segmentation Based on Integrated Active Contour
Peng Rui-hui
Dept. of Weaponry Engineering
Naval Univ. of Engineering
Wuhan, Hubei, China
pengruihui@yahoo.cn
Wang Xiang-wei,LÜ Yong-sheng
The Fifth Research Institute
Second Artillery Equipment Academy Beijing, China
Wang Shu-zong
Dept. of Weaponry Engineering
Naval Univ. of Engineering
Wuhan, Hubei, China
Abstract—Image segmentation is an important problem on image processing technique. Based on active contour model, a novel integrated active contour (IAC) model for SAR imagery segmentation has been developed. In this model, the edge information is extracted by edge detection operators based on ratio of average framework, and the region statistical information is distilled by the maximization of likelihood function of different regions. And an unconditionally stable numerical scheme is used by means of additional operator splitting arithmetic. In the end, some segmentation tests have been done using MSTAR, Radarsat-2 and domestic spaceborne SAR images. Results show: proposed model has a good adaptability to complicated SAR images segmentation, and gives an accurate and fast partition for different regions in the images; implementing method is robust which is insensitive to parameters setting and initializations.
Keywords- synthetic aperture radar; image segmentation; edge detection; active contour
Research on Intelligent Hydraulic Impactor
System Based on Fuzzy Control
YANG Guoping
Automobile Engineering College
Shanghai University of Engineering Science
Shanghai, China
E-mail: ygpljyl@163.com
Abstract—A kind of intelligent hydraulic impactor is put forward, including its operating principle and the method to design the hydraulic control system, the hardware and software modules of the computer control system. In the light of the technology characteristics of the hydraulic impactor, the fuzzy control algorithm is given. The fuzzy controller and the experimental prototype are designed according to the fuzzy control strategy. By experiments, it’s proved that the intelligent hydraulic impactor can automatically regulate the impact frequency and impact energy to realize its intellectualized work according to the differences between physical properties of objects.
Keywords-Hydraulic impactor;Hydraulic control;Fuzzy conyrol
Advances in Research on Artificial Muscles Technology and Its Control Algorithm
Zhong Luo, Shuxian Yang, Dongyang Xue, Lina Hao and Hongyi Liu
School of Mechanical Engineering & Automation
Northeastern University
Shenyang, Liaoning Province, China
zhluo@mail.neu.edu.cn
Abstract—On the basis of results of previous studies, this paper overviews several kinds of typical artificial muscles’ structural principle, the technological study condition and application status in main fields,and classifies artificial muscles. This paper mainly summarizes domestic and foreign scholars’ research results on the control technology of artificial muscles, including neural network control, control, parameter self-adaptive control, variable structure control, single neuron self-adaptive PID control, pole-placement and adaptive digital control, two-layer sliding mode’ fuzzy variable structure control, fuzzy immune PD control algorithm with fixed gravity compensation and so on. Finally, it prospects the trend of research and development of artificial muscles.
Key words-artificial muscles; structural principle; Control Algorithm
Error Analysis of a Inverted Pendulum on an Inclined Rail
Zhong Luo, Zhiyong Shi, Peng Hu, Lina Hao and Hongyi Liu
School of Mechanical Engineering & Automation
Northeastern University
Shenyang, Liaoning Province, China
E-mail: zhluo@mail.neu.edu.cn
Abstract—According to inverted pendulum system control error, the method of error analysis and compensation is proposed, which establishes the structural model of inverted pendulum system, elaborates control principles of tilt inverted pendulum system, and studies error causes of inverted pendulum and inclination system error and dynamic error in the control process. But errors involving electric control system and model of inverted pendulum system are combined together to constitute composite error of tilt inverted pendulum system. The purpose of studying the relationship among composite error, motion parameters and structural parameters is to rediscover a solution to minimize composite error and to improve the accuracy and precision of control system provides theory basis. The simulation results reveal the necessity of optimal control error compensation of tilt inverted pendulum.
Keywords: tilt inverted pendulum, error analysis, compensation, simulation
Using Object-Orientation to Conceptualize an Adaptive Learning Content Management System Modeling
Moo-Chee Lee
Department of Industrial Engineering
Yuan Ze University
Taoyuan, Taiwan
ieychung@saturn.yzu.edu.tw
Yun-Kung Chung
Department of Industrial Engineering
Yuan Ze University
Taoyuan, Taiwan
ieychung@saturn.yzu.edu.tw
Abstract—A conceptual modeling of an adaptive or a flexible learning content management (LCM) system is an initialized step toward successful implement of a distance education system on Internet. Its aim is at planning and accomplishing the responsiveness to the learning content (re)configuration required for meeting the students’ learning goals. Since learning content is composed of the relative learning objects, their (re)configurations and reuses are essential to the construction (modification) of a new (existing) studying subject (content). The alternatives of appropriately aggregating a number of relative learning objects to structure the learning subject certainly is to the success of the LCM system implementation. This paper thus presents such a conceptualization that is able to model an adaptive LCM system by defining its learning object constituents as the respectively reusable active objects represented in the nature of the object-orientation (OO) software. The aspect of the proposed OO-based active objects instruments the modeling process of an adaptive LCM system.
Keywords-multimedia databas; distance learning; learning content managemen;, learning object; object-orientation.
Intelligent Control of Unified Power Flow Controller for Stability Enhancement of Transmission Systems
Manju P
Department of Electrical & Electronics Engineering
Sri Krishna College of Engineering & Technology
Coimbatore, India
e-mail: manjupresearch@gmail.com
Subbiah V
Department of Electrical & Electronics Engineering
Sri Krishna College of Engineering & Technology
Coimbatore, India
e-mail: subbiah42@yahoo.com
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