IJEA - Volume 7 Issue 12 (December 2018)


Sr/No/ Title Pdf
1 Review of Single Phase Voltage Source Inverter
Neelesh Dehariya, Sagar Singh Tomar and Naveen Soni

ABSTRACT - The inverter topology which produce single phase AC with conversion of DC is known as single phase inverter. The inverters sometimes operate in a very pulse width modulated (PWM) method and switch between different circuit topologies, which implies that the power converter may be a nonlinear, specifically piecewise smooth system additionally to the present, the control methods utilized in the inverters are just like those in DC-DC converters. This paper discusses the review of the multilevel inverter topology developed by the different researchers.
Keywords— DC/AC, PWM, UPS, MLI, SHEPWM, OHSW etc. .

2 State of Art for HVDC Transmission System
Chandra Prakash and Abhay Chaturvedi

ABSTRACT - Transmission of bulk power over long and inter country lines has been seriously limited by system stability. Moreover, due to deregulated power market and large amount of decentralized generation in a meshed AC grid, an existing power system is becoming more complex. These limitations are triggering all sorts of problems and reliability issues in power systems. However, the recent advancement in power electronics has been pushing the boundary limit. As a result, the use of FACTS and HVDC devices has become growing in recent years. So in this paper discusses the historical view of the HVDC system in firstly thereafter discuss literature review of the HVDC system uses in power transmission system. On the basis of literature review also here discuss the basic problem in the current operation in HVDC Transmission. .
Keywords— HVDC, VSC, PWM, LCC, GCTs, etc.
3 A Review of Hybrid Energy System with Energy Management System
Saddam Hussain and Abhay Chaturvedi

ABSTRACT –—With the advancement of civilization and evolution of technology, energy demand has become a basic issue for the development of a society today. The usual ways to address this demand today are based mostly on resources such as fossil or nuclear fuels, which have a negative impact on the environment, either contributing with greenhouse gases, or by production of radioactive or inert solid waste. For this reason, every day the need to migrate to more environmentally responsible energy production models becomes more evident. In this paper discuss the energy demand of the worldwide. Due need of new energy sources here n this paper discuss the hybrid energy system, a brief review of all the researches in the field of hybrid energy renewable sources is discussed in this paper.
Keywords— PV, FC, Wind Energy, RES, HES and EMS etc.
4 Watermarking for secure Communication based on Three level DWT cum SVD (3DWTS) Method: Review
Reena Agnihotri (M. Tech Scholar) and Prof. Vishal Shrivastava

ABSTRACT -Watermarking is an approach to hide the image efficiently into any covering object (image in our case) and it should do that any intruder cannot interpret it by any means, as from the proposed method that is been achieved and one can say that our generated stegno image cannot be interpreted easily by any intruder, proposed work is a unique DWT based method for watermarking. The Covering image is divided into four sub bands using transform technique DWT. Two different privet images set fixed in the HL and HH sub-bands respectively. When inserted privet images are spread within each band and use a semi random succession and only one Session key. Privet images are retrieved using the session key along with size of the images. In this approach the stegno image produce is of acceptable level with good imperceptibility and less distortion as compared to other cover image with different methods and enhance the overall security.
Keywords— DWT, Watermarking, Stegno Image etc.
Page No. 01-03 .
Sonam Vishvakarma (M. Tech Scholar) and Prof. Aditya Sharma

ABSTRACT - Skin texture analysis is one of than challenging issues in the field of medical diagnosis. Various types of skin diseases are affecting human life like skin dryness, fungus, and allergic symptoms. The objective of this paper is to analyze the skin disease using texture analysis of skin image and by comparing the test image to a defined images or reference images. Support Vector Machine (SVM) based GLCM has been applied for observation of features. Processing of SKIN TEXTURE images is one of the parts of this field. MATLAB is been used for the design the proposed system, to make the design user friendly a GUI is been developed for front end use and in the background the proposed algorithm works, the results found are very good in terms of accuracy and time delay.
Keywords— STA-Skin Texture Analysis, GLCM-Gray level co‐occurrence matrix, SVM-Support Vector Machine, FAR-False acceptance Rate, FRR-False Rejection rate
Page No. 01 - 08 .
Sujan Singh Thakur (M. Tech Scholar) and Prof. Papiya Dutta

ABSTRACT - Electrocardiogram signal is one of the biomedical signals, which reflects electrical activity of the heart. ECG signals are widely studied and applied in clinic. The ECG signal is time varying signal, includes the valuable information related to heart diseases, but frequently this valuable information is corrupted by various noises. As noise corrupts the ECG signal it is very important as well as difficult task to suppress noises from ECG signal. So de-noising is the method of estimating the unknown signal from available noisy data. The empirical mode decomposition provides description of signal, decomposing it at different time-frequency resolution. Empirical mode decomposition is well suited tool for analysis of non-stationary signals like ECG. At first step, the signal is decomposed into transform domain where filtering procedures are applied. The noise free signal is then obtained by inverse transform. The basic idea behind this paper is the estimation of the uncorrupted ECG signal from the corrupted or noisy signal, and is also referred to as signal denoising.
Keywords— RMSE: root means square error, SNR: signal to noise ratio, ECG: Electrocardiogram, AWGN: Additive White Gaussian Noise and LMS: Least Mean Square.
Page No. 01 - 04 .