Modeling and Simulation of 5 DOF educational robot arm

Many universities and institutes experience difficulty in training people to work with expensive equipments. A common problem faced by educational institutions concerns the limited availability of expensive robotics equipments, with which students in the didactic program can work, in order to acquire valuable “ha nds on” experience. Therefore, the Robot Simulation Software (RSS) nowadays is paramount important

Palmprint Recognition by using Bandlet, Ridgelet, Wavelet and Neural Network

Palmprint recognition has emerged as a substantial biometric based personal identification. Tow types of biometrics palmprint feature. high resolution feature that includes: minutia points, ridges and singular points that could be extracted for forensic applications. Moreover, low resolution feature such as wrinkles and principal lines which could be extracted for commercial applications. This paper uses 700nm spectral band PolyU hyperspectral palmprint database. Multiscale image transform: bandlet, ridgelet and 2D discrete wavelet have been applied to extract feature. The size of features are reduced by using principle component analysis and linear discriminate analysis. Feed-forward Back-propagation neural network is used as a classifier. The recognition rate accuracy shows that bandlet transform outperforms others

Symmetric 80 Gbps Next Generation Passive Optical Network Stage Two NG-PON2

In this research, a design of a symmetric 80 Gbps Passive Optical Network that meets the requirements of Next Generation Passive Optical Network Stage Two (NG-PON2) is proposed. According to The Full-Service Access Network (FSAN), The Time and Wave Length Division Multiplexing (TWDM) is chosen as the best solution to implement NG-PON2. TWDM network of NG-PON2 can be implemented in many wavelength plans to replace or co-exist with previous PON technologies. The proposed design was simulated taking into consideration the practical parameters of existing systems, the results shows that the system is reliable for implementation for 80 Gbps bitrate utilizing 8 pairs of wavelengths transmitted over 40 Km and distributed and received by 128 users with acceptable data rate

Optimal Controller for Single Area Load Frequency Control via LQR and Legendre Wavelet Function

Load frequency control (LFC) is an important tool to insure the stability and reliability of power systems. Nowadays power demand is increasing continuously and the biggest challenge is to provide uninterrupted electrical energy to consumers under changing conditions. For satisfactory operation, the frequency of power system should be kept near constant value or within standard value; in addition to that an uninterrupted power should continue to flow despite the variations of load in different areas. Many techniques have been proposed to guarantee the uninterrupted flow of power and the constant value of frequency and to overcome any deviations. In this study, optimal control based on Legendre wavelet function and linear quadratic regulator (LQR) techniques are applied to single area power system in order to approximate the gain of controller to overcome the fluctuations of frequency in electrical power systems. This paper models a single area power system with optimal control strategies based on LQR and Legendre wavelet transform and presents simulation results using Simulink/MATLAB. The paper also compares the performance of the LQR and Legendre wavelet transform controllers. A numerical example is solved in order to demonstrate the effectiveness of the proposed technique

Multi-rate ripple free dead beat control for nonlinear system using diophantine equations

Despite previous efforts to solve linear and nonlinear deadbeat control systems, a need still exists for better methodology in terms of performance and stability. This paper proposes a new design methodology for deadbeat control of nonlinear systems in discrete-time. The proposed methodology is based on partitioning the solution into two components; each with different sampling time. The proposed control can be divided into two sub-controllers: one uses state feedback and the other uses the Diophantine equations. The complete nonlinear design guarantees the convergence to a neighbourhood of origin from any initial state in finite time; thus, providing a stable deadbeat performance. Results show that the ripple-free deadbeat controller is able to track the input signal and the error decays to zero in a finite number of sampling times

Speech compression using wavelets

With the growth of the multimedia and cellular technology over the past decades, the demand for digital information increases dramatically. This enormous demand poses difficulties for the current technology to handle speech compression. One approach to overcome this problem is to compress the information by removing the redundancies present in it. This is a lossy compression scheme that is often used to compress information such as speech signals. This paper presents a new lossy algorithm to compress speech signals using Discrete Wavelet Transform (DWT) Techniques to solve the limited bandwidth problem facing the Palestinian cellular company, Jawwal. The performance of the DWT for speech compression is very good compared with other techniques such as µ-law speech coder. Moreover, the compression ratio using Wavelet can be varied easily, while other techniques have fixed one