Palmprint Recognition Using 2-D Wavelet, Ridgelet, Curvelet and Contourlet

Vol. 7 No. 1

Year: 2013

Issue : Jul-Sep

Title : Palmprint Recognition Using 2-D Wavelet, Ridgelet, Curvelet and Contourlet

Author Name : Hatem Elaydi, Mohammed Alhanjouri, Mohanad A. M. Abukmeil

Synopsis :

Palmprint recognition is a promising biometric field which is used for forensic and commercial applications. This paper provides a comparative palmprint recognition approach using multi-scale transforms: 2D wavelets, ridgelets, curvelets, and contourlets for feature extraction phase, 2-D Principal Component Analysis (2-D PCA) for dimensionality reduction and artificial neural network for recognition phase. Finally, a comparative analysis has been done. The algorithms have been tested using PolyU hyperspectral palmprint database. The recognition rate accuracy was very good and is listed in this order curvelets, contourlets, ridgelets, and 2D discrete wavelets where the curvelets outperformed the others.

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A Multi-Cell Three-Level Five-phase Voltage Source Inverter

Vol. 7 No. 1

Year: 2013

Issue : Jul-Sep

Title : A Multi-Cell Three-Level Five-phase Voltage Source Inverter

Author Name : ATIF IAQBAL, Ihab Al-Jayyousi, Abdulhadi Al- Qahtani, Ebrahim Al-Agi , Mohammad Ali Ahmed

Synopsis :

The paper presents a modular multi-cell three-level five-phase voltage source inverter. The topology is an extension of a single-phase H-bridge inverter. Positive and negative voltage levels are obtained by operating two switches at one time while zero voltage level is obtained by shorting the load side. The source side shorting is avoided in order to protect the source. The major advantage is multi-level output without capacitor voltage or neutral voltage balancing in contrast to the more commonly used neutral point clamped type and flying capacitor type. The major disadvantage from the industrial application point of view is the requirement of five isolated dc sources. Mathematical model is derived and presented. Modulation is obtained using simple phase disposition and level shifted sinusoidal carrier based scheme. A five-phase induction machine is considered as load and excitation and loading transient is presented. The simulation model considered the effect of dead-band in the switching signals. Further the effect of change in DC link voltages of different cells are also investigated and reported. The simulation and experimental results are shown.

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Control of Active and Reactive Power Flow in Multiple Lines through UPFC&HPFC

Vol. 7 No. 1

Year: 2013

Issue : Jul-Sep

Title : Control of Active and Reactive Power Flow in Multiple Lines through UPFC&HPFC

Author Name : Rammurthy B.M, K.V.Satheesh Babu

Synopsis :

This paper is based on the practical contingency condition of a transmission line, over which a study using HPFC is done without sacrificing the available generation capacity. The Hybrid Power Flow Controller (HPFC) is the most versatile and complex power electronic equipment that has emerged for the control and optimization of power flow in electrical power transmission system. Installing the HPFC makes it possible to control an amount of real and reactive power flow through the line. This paper presents the control of power flow through multiple overloaded/under loaded lines under study. Simulation is carried out using MATLAB software to overcome the contingency condition by using HPFC.

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Mathematical Modeling of Permanent Magnet Synchronous Generator used in Wind Turbines

Vol. 7 No. 1

Year: 2013

Issue : Jul-Sep

Title : Mathematical Modeling of Permanent Magnet Synchronous Generator used in Wind Turbines

Author Name : G D Anbarasi Jebaselvi, S.Paramasivam

Synopsis :

The urgent need of electricity everywhere and anywhere prompt everyone to search for it with more benefits and profits. Simultaneously the same search should end up with good choice of energy production because the conventional source of getting electricity tends to reduce vigorously now a days. Sooner or later the options go for renewable sources by which less pollution encounters while more production dominates. Here is the discussion about the analysis of permanent magnet synchronous generator used in small scale wind generators with its suitable modeling in Simulink /Matlab.

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Harmonic Analysis Of Induction Motor Drive Using Neural Network

Vol. 7 No. 1

Year: 2013

Issue : Jul-Sep

Title : Harmonic Analysis Of Induction Motor Drive Using Neural Network

Author Name : Prashant Menghal, A.Jaya Laxmi

Synopsis :

In Industries, because of its good self-starting capability, simple and rugged structure, low cost and reliability etc. more than 85 % of the motors are Induction Motors. By varying the stator frequency over a wide range, 3-phase squirrel cage Induction Motors can be used in variable frequency IGBT Inverter fed space vector control method to control the harmonics. The IGBT fed space vector control drive systems are widely preferred in Industries because of wide application of induction motors in industry, commercial and residential, and they constitute the largest component of the load. Due to harmonics, the power system gets polluted and creates hurdle to the operation of induction motors. Therefore, the effects of harmonics on the induction motors draws attention of many researchers. Recently, there is an increasing recognition of neural network based technology to meet the requirement of more efficient and compact variable speed drive systems for both AC and DC motor applications. Harmonic analysis of inverter fed induction motor drive using neural network is simulated in MATLAB/SIMULINK.

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Detection of Saturation Level in the Magnetic Core of a Welding Transformer by Artificial Neural Network Detector

Vol. 7 No. 1

Year: 2013

Issue : Jul-Sep

Title : Detection of Saturation Level in the Magnetic Core of a Welding Transformer by Artificial Neural Network Detector

Author Name : Rama Subbanna Somarpu, Dr. Suryakalavarthi, M

Synopsis :

This paper aims to develop an Artificial Neural Network based controller to detect the saturation level in the magnetic core of a welding transformer. The magnetization level detector is a substantial component of a Middle-Frequency Direct Current (MFDC) Resistance Spot Welding System (RSWS). The basic circuit of a resistance spot welding system consists of an input rectifier, an inverter, a welding transformer, and a full-wave rectifier which is mounted on the output of the welding transformer. The presence of unbalanced resistances of the transformer secondary windings and the difference in characteristics of output rectifier diodes can cause the transformers magnetic core to become saturated. This produces spikes in the primary current and finally leads to the over-current protection switch-off of the entire system. To prevent the occurrence of such a phenomena, the welding system control must detect that the magnetic core is approaching saturation. In this paper,an Artificial Neural Network is designed whose only input is the primary current of the welding transformer. The proposed ANN is based on the dynamic model of the Resistance Spot Welding System. Before the ANN can be applied, its structure must be defined and an appropriate learning method must be adopted for its training. The ANN implemented in this paper is a three layered ANN and is trained using the resilient back-propagation algorithm. The ANN is trained so as to recognize the waveform of the current spikes in the primary current caused by the magnetic core saturation, which is then used for magnetization level detection.

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