Volume 5 Issue 1                         January-March 2017

ESTIMATION OF POWER GENERATION POTENTIAL OF AGRICULTURAL BASED BIOMASS SPECIES AND COAL- BIOMASS MIXED BRIQUETTES  [pp 01-06]

Mishra Mukesh Kumar , Kulshrestha Anurag
Abstract – With the advancement in technology the power consumption is rising steadily. This necessitates that in addition to the existing source of power such as coal, water, petroleum etc. Other sources of energy should be searched out and new and more efficient ways of producing energy should be devised. Power generation from biomass becomes attractive way for energy generation due to their high energy potential and less pollutants.  This study reviews the estimation of power generation potential of biomass species and coal-biomass as well as the future importance of biomass power generation. This study aims to estimate the potential of biomass power generation and its impact on power generation expansion planning as well as mitigating carbon ….


ECG beat classification using Artificial Neural Network and Discrete Wavelet Transform [pp 07-14]

Shrivastava Anurag, Patel Vaibhav, Khabiya Priyanka

Abstract – The use of Artificial Intelligence has become wide spread to a wide spectrum of applications. Classification problems that can cause human errors are now being dealt with systems that are based on machine learning and artificial neural networks. One such emerging and booming field of application is the classification of bio-medical data such as Electrocardiogram (ECG)….


Artificial Neural Networks employed in ECG Beat Classification: A Survey [pp 15-19]

Shrivastava Anurag, Patel Vaibhav, Khabiya Priyanka

Abstract-  Artificial Intelligence has emerged as an area of computer science which has invaded almost all applications of science and technology. One of the most important areas which have been taken up by artificial intelligence is feature extraction and classification of biomedical data. Data mining and classification of Electrocardiogram data has evolved….


SUPERIOR INTRUSION DETECTION SYSTEM USING MACHINE LEARNING TECHNIQUE WITH SAMPLING [pp 20-24]

Bajpai Shikha

Abstract— High growth and popularization of information system, information and network security is become a very important issue. Intrusion Detection System (IDS) is the main security defensive technique and is highly used against intrusion. Data Mining and Machine Learning techniques proved useful attention in security research area. Recently, many machine learning methods have also been applied by researchers, to obtain highly detection rate. Shortcoming of all those methods is that how to….


Role of Genetic Algorithm in Congestion Management: A Review [pp 25-30] 

Shakya Arun, Vaishnav Moorat

Abstract: Congestion management is a major challenge in front of system operators particularly in deregulated system. Now a day’s power system is undergoing the process of deregulation everywhere to fulfill the increased demand, by inducing competition in electricity market and for the better utilization of distributed generating units. Various conventional and latest optimization techniques like nonlinear programming (NLP), dynamic programming (DP), quadratic….