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Review Paper

Bioaugmentation of Chlorinated Solvents in Groundwater Using Dehalococcoides

With the era of industrialization and excessive dependence on chemicals, there is increased indiscriminate disposal of especially chlorinated solvents causing a variety of environmental problems. Chlorinated solvents including trichloroethylene (TCE) and perchloroethylene are significant groundwater contaminants causing severe health effects. Various technical strategies have been developed and applied, often with limited success. Time frames for remediation tend to be long, usually measured in decades. In this review we focus on remediation of chlorinated solvents in groundwater by the addition of exogenous microorganisms, specifically members of the genus Dehalococcoides (DHC) referred to as bioaugmentation. Many potential technologies for remediation of chlorinated solvents, its past, present and future as well as how bioaugmentation is superior to these techniques are discussed.

Published by: Anjali Sudheesh

Author: Anjali Sudheesh

Paper ID: V4I1-1226

Paper Status: published

Published: January 19, 2018

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Survey Report

Big Data Analysis Using Apache Hadoop

Traditional data management, warehousing, and analysis systems fall short of tools to analyze this data. Using traditional DBMS techniques like Joins and Indexing and other techniques like graph search is tedious and time-consuming. In this paper, we suggest various methods for catering to the problems in hand through Map-Reduce framework over Hadoop Distributed File System (HDFS). Map Reduce is a Minimization technique which makes use of file indexing with mapping, sorting, shuffling and finally reducing. Map Reduce techniques have been studied in this paper which is implemented for Big Data analysis using HDFS.

Published by: Suruchi Padhy, Dr. Shashi Kumar D R

Author: Suruchi Padhy

Paper ID: V4I1-1218

Paper Status: published

Published: January 19, 2018

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Research Paper

Idle Speed Control of an Engine Model using PID Control System

An engine model has been developed and controlled by the system to prevent stalling conditions when the automobile is at rest. The main input for the engine is throttle position in degree angle and the main control output is the engine speed in rpm. The engine speed is controlled by the amount of air supplied to the engine. Idle speed control is an automotive issue in which fuel gets consumed more during idling state of an automobile while driving and so its predictive rate will increase in the future based on the increase in traffic requirements. The PID control technique is used to tune the parameters of non-linear plant model into linearized conditions for stable equilibrium. Through this intelligent technique, we are able to define control parameters for the Idle Speed Control system of the engine model.

Published by: Abhishek Chaturvedi

Author: Abhishek Chaturvedi

Paper ID: V4I1-1221

Paper Status: published

Published: January 19, 2018

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Review Paper

Basic Minor and Major Ramifications of Service Quality in Retail Banking

Nowadays the quality plays a vital role at everyplace, whether it is a service quality or product quality. In this Journal I am focusing on the service quality, that how much it gives an impact on the customer’s loyalty and satisfaction towards the Retail banking. Sometime’s the perception of the customers tend to the public sector retail banking due to the trustworthiness apart from the private banks. The only thing which may develop a difference between these two Sectors is only a Service Quality. The Service quality revolves around the customer mind and that’s the time when any of these two banking sector’s put their positive or negative impact on the customer's attitude. There are numerable researchers which had done research work on the service quality which flashes the light on the basic and straightforward views which describes some of the causes that affect the Service Quality in Retail banking.

Published by: Dr. Manvinder Tandon, Amritpal Singh

Author: Dr. Manvinder Tandon

Paper ID: V4I1-1225

Paper Status: published

Published: January 18, 2018

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Research Paper

Data Mining Techniques in Prediction of Risk Factors of Diabetes Mellitus

Diabetes mellitus is a chronic disease, lifelong condition that affects the body's ability to use the energy found in food. The level of morbidity and mortality due to diabetes and its potential complications are enormous and pose significant healthcare burdens. It is a complex and time-consuming task in detecting the risk of acquiring diabetes mellitus when a large amount of data is manually processed in the clinical environment. The objective of this paper is to simplify the process of analyzing and detecting the risk of developing diabetes. Patients’ details are gathered and stored in the form of Electronic medical record (EMR). Association rule mining and decision tree induction are applied to the records stored, in order to obtain the set of rules that are to be satisfied. C4.5 or Support vector machine is used to classify the data set accordingly and summarization techniques are used to summarize resultant possibility of acquiring diabetes.

Published by: Omana .J, Sujithra .S, Vishali .S, Yuvashree .K

Author: Omana .J

Paper ID: V4I1-1191

Paper Status: published

Published: January 18, 2018

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Review Paper

Comparative Analysis of Controller Techniques Used in Doubly Fed Induction Generators in Wind Turbines

The interest in the variable speed wind turbines has increased due to their very attractive features. The fundamental feature of the DFIG is that the power processed by the power converter is only a fraction of the total wind turbine power, and therefore its size, cost and losses are much smaller compared to a full-scale power converter. The aim of the control strategy is usually to maximize the output power, maximize efficiency of energy conversion besides minimizing output power oscillations or minimizing wear of the mechanical components of the power plant, e.g., train drives, while maximizing the economic profit. Many different topologies have been proposed to achieve the desired speed control on wind generators. Among the various controllers considered based on classical control theory like PI controllers and nonlinear controllers based on Fuzzy logic PI controller using Fuzzy logic, Heuristic algorithm, Genetic Algorithm, Swarm optimization and Sliding Mode controllers were compared. It has been observed that among various controllers the fully fuzzy scheme was best in terms of stabilization times and reduction in asymmetries. However from the tuning of PI controller the swarm optimization technique is best suited for optimizing the parameters of the controller.

Published by: Mohamed Samir, Dr. Gagan Singh

Author: Mohamed Samir

Paper ID: V4I1-1199

Paper Status: published

Published: January 16, 2018

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