Thursday, 10 November 2011
Thursday, 3 November 2011
Fault Location and Distance Estimation on Power Transmission Lines using Discrete Wavelet Transform
Sunusi. Sani Adamu1, Sada Iliya2
1Department of Electrical Engineering, Faculty of Technology, Bayero University Kano, Nigeria
2Department of Electrical Engineering, College of Engineering, Hassan Usman Katsina Polytechnic
Fault location is very important in power system engineering in order to clear fault quickly and restore power supply as soon as possible with minimum interruption. In this study a 300km, 330kv, 50Hz power transmission line model was developed and simulated using power system block set of MATLAB to obtain fault current waveforms. The waveforms were analysed using the Discrete Wavelet Transform (DWT) toolbox by selecting suitable wavelet family to obtain the pre-fault and post-fault coefficients for estimating the fault distance. This was achieved by adding non negative values of the coefficients after subtracting the pre-fault coefficients from the post-fault coefficients. It was found that better results of the distance estimation, were achieved using Daubechies ‘db5’wavele,t with an error of three percent (3%).
Deep Sub-Micron SRAM Design for DRV Analysis and Low Leakage
Sanjay Kr Singh1, Sampath Kumar2, Arti Noor3, D. S. Chauhan4 & B.K.Kaushik5
1IPEC, Ghaziabad, India.
2J.S.S. Academy of Technical Education, Noida, India.
3Centre for Development of Advance Computing, Noida, India.
4 UTU, Dehradun, India.
5IIT Roorkee, India.
This paper deals with the design opportunities of Static Random Access Memory (SRAM) for lower power consumption and propagation delay. Initially the existing SRAM architectures are investigated, and thereafter a suitable basic 6T SRAM structure is chosen. The key to low power dissipation in the SRAM data path is to reduce the signal swings on the highly capacitive nodes like the bit and data lines. While designing the SRAM, techniques such as circuit partitioning, divide word line and low power layout methodologies are reviewed to minimize the power dissipation.
ANUPLACE: A Synthesis Aware VLSI Placer to Minimize Timing Closure
Santeppa Kambham1 and Krishna Prasad K.S.R2
1ANURAG, DRDO, Kanchanbagh, Hyderabad-500058, India
2ECE Dept, National Institute of Technology, Warangal-506004, India
In Deep Sub Micron (DSM) technologies, circuits fail to meet the timings estimated during synthesis after completion of the layout which is termed as ‘Timing Closure’ problem. This work focuses on the study of reasons for failure of timing closure for a given synthesis solution. It was found that this failure is due to non-adherence of synthesizer’s assumptions during placement. A synthesis aware new placer called ANUPLACE was developed which adheres to assumptions made during synthesis. The new algorithms developed are illustrated with an example. ANUPLACE was applied to a set of standard placement benchmark circuits. There was an average improvement of 53.7% in the Half-Perimeter-Wire-Lengths (HPWL) with an average area penalty of 12.6% of the placed circuits when compared to the results obtained by the existing placement algorithms reported in the literature.
Intelligent Inverse Kinematic Control of Scorbot-ER V Plus Robot Manipulator
Himanshu Chaudhary and Rajendra Prasad
Department of Electrical Engineering, IIT Roorkee, India
In this paper, an Adaptive Neuro-Fuzzy Inference System (ANFIS) method based on the Artificial Neural Network (ANN) is applied to design an Inverse Kinematic based controller forthe inverse kinematical control of SCORBOT-ER V Plus. The proposed ANFIS controller combines the advantages of a fuzzy controller as well as the quick response and adaptability nature of an Artificial Neural Network (ANN). The ANFIS structures were trained using the generated database by the fuzzy controller of the SCORBOT-ER V Plus.The performance of the proposed system has been compared with the experimental setup prepared with SCORBOT-ER V Plus robot manipulator. Computer Simulation is conducted to demonstrate accuracyof the proposed controller to generate an appropriate joint angle for reaching desired Cartesian state, without any error. The entire system has been modeled using MATLAB 2011.
Study of Hand Preferences on Signature for Right-Handed and Left-Handed Peoples
Akram Gasmelseed and Nasrul Humaimi Mahmood
Faculty of Health Science and Biomedical Engineering,
Universiti Teknologi Malaysia, Johor, Malaysia.
Signature is the easiest way to issue the document. The problem of handwritten signature verification is a pattern recognition task used to differentiate two classes of original and fake signatures. The subject of interest in this study is about signature recognition that deals with the process of verifying the written signature patterns of human individuals and specifically between right-handed and left-handed people. The method that been used in this project is an on-line verification by using IntuosTM Graphics Tablet and Intuos pen as the data capturing device. On-line signature verification involved the capturing of dynamic signature signals such as pressure of pen tips, time duration of whole signature, altitude and azimuth. The ability to capture the signature and have it immediately available in a digital form for verification has opens up a range of new application areas about this topic.