Manuscripts

Recent Papers

Prediction of Heart Disease using Data Mining Techniques

Data mining is process to analyses number of data sets and then extracts the meaning of data. It helps to predict the patterns and future trends, allowing business in decision making. Data mining applications are able to give the answer of business questions which can take much time to resolve traditionally. High amount of data that can be generated for the prediction of disease is analyzed traditionally and is too complicated along with voluminous to be processed. Data mining provides methods and techniques for transformation of the data into useful information for decision making. These techniques can make process fast and take less time to predict the heart disease with more accuracy. The healthcare sector assembles enormous quantity of healthcare data which cannot be mined to uncover hidden information for effectual decision making. However, there is a plenty of hidden information in this data which is untapped and not being used appropriately for predictions. It becomes more influential in case of heart disease that is considered as the predominant reason behind death all over the world. In medical field, Data Mining provides several methods which are widely used in the medical and clinical decision support systems which should be helpful for diagnosis and predicting of various diseases. These data mining techniques can be used in heart diseases takes less time and make the process much faster for the prediction system to predict diseases with good accuracy to improve their health. In this paper we survey different papers in which one or more algorithms of data mining used for the prediction of heart disease. By Applying data mining techniques to heart disease data which requires to be processed, we can get effective results and achieve reliable performance which will help in decision making in healthcare industry. It will help the medical practitioners to diagnose the disease in less time and predict probable complications well in advance. Identify the major risk factors of Heart Disease categorizing the risk factors in an order which causes damages to the heart such as diabetes, high blood cholesterol, obesity, hyper tension, smoking, poor diet, stress, etc. Data mining techniques and functions are used to identify the level of risk factors which helps the patients to take precautions in advance to save their life.

Published by: Era Singh Kajal, Ms. Nishika

Author: Era Singh Kajal

Paper ID: V2I3-1139

Paper Status: published

Published: May 2, 2016

Full Details

Study of Noise Reduction in Four-Cylinder Common Rail Direct Injection Diesel Engine at Idle Speed

The design and development of modern internal combustion engines is marked by a reduction in exhaust gas emissions and increase in specific power and torque. This paper aims at the study of noise reduction in 4-stroke common rail direct injection engine at idle speed. Idle speed is basically a speed of engine when vehicle is not running i.e. not in motion. Now a day, this situation often comes at red-lights, in traffic and in waiting while parked outside a business or residence etc. This paper presents a study about the effects of Fuel Injection Pressure on the combustion process.

Published by: Jaswinder Singh, Harvinder Lal

Author: Jaswinder Singh

Paper ID: V2I3-1136

Paper Status: published

Published: May 2, 2016

Full Details

Survey of Image Forgery Detection Technique based on Color Illumination using Machine Learning Approach

In ancient times, images were used very rarely & there was a possibility of less amount of forgery or no forgery in images. It requires much knowledge to create a forged image earlier. Nowadays, Images have gained a very vital importance in our daily life and it is not very difficult to make forged images because of the availability of powerful digital image editing software’s that does not require any expert knowledge. So, it becomes very easy to create a tampered image. As a result we have to prove the authenticity of an image. In this paper we have discussed about one of the most common forms of image forgery which is image splicing and other forms. We discussed about various existing forgery detection methods and techniques based on color illumination & machine learning approach which results in automatic decision making. We have also discussed about the existing work drawbacks and the possibility of future improvements. Index Terms— Forgery, Tampered Image, Image Splicing, color Illumination

Published by: K.Sharath Chandra Reddy, Tarun Dalal,

Author: K.Sharath Chandra Reddy

Paper ID: V2I3-1137

Paper Status: published

Published: May 2, 2016

Full Details

Comparative Study of Induction Motor Starters using MATLAB Simulink

This paper presents a comparison between the Direct-On-Line (D.O.L.), and Soft Starter by using MATLAB Simulink. The purpose of this project is to find out the theoretical and actual characteristics of Induction motor. These three basic starting methods which different the irrespective wiring connection are the most applicable and widely-used starting method in the industrial area due to its economic reasons. This project is done by analyzing the characteristics during the motor starting by using the MATLAB Simulation to capture the waveforms of these events. After the Simulation, the three different starting method are being compared to conclude the most suitable and applicable starting method.

Published by: Abhay M Halmare, Ashish Karnase, Swapnil Kourati

Author: Abhay M Halmare

Paper ID: V2I2-1143

Paper Status: published

Published: April 22, 2016

Full Details

Power Generation in Future by using Landfill Gases

This paper describes an approach to power generation in future by using landfill gases. The present day methods of power generation are not much efficient & it may not be sufficient or suitable to keep pace with ever increasing demand. The recent severe energy crisis has forced the world to rethink & develop the landfill gas type power generation which remained unthinkable for several years after its discovery. Generation of electricity by using landfill gases is unique and highly efficient with nearly zero pollution. Landfill gas utilization is a process of gathering, processing, and treating the methane gas emitted from decomposing garbage to produce electricity. In advanced countries this technique is already in use but in developing countries it’s still under construction. The efficiency is also better than other non-conventional energy sources. These projects are popular because they control energy costs and reduce greenhouse gas emissions. These projects collect the methane gas and treat it, so it can be used for electricity or upgraded to pipeline-grade gas. These projects power homes, buildings, and vehicles.

Published by: Sourabh Dhokpande, Ruchira Khadakkar, Bhawana Deshmukh, A. M. Halmare

Author: Sourabh Dhokpande

Paper ID: V2I2-1141

Paper Status: published

Published: April 19, 2016

Full Details

Load Balancing and Providing Security using RSA in Wireless Sensor Networks

This paper presents load balancing and provides security using RSA algorithm. This is brief introduction to handle the traffic on node. This represents the converge-casting protocol in wireless sensor networks. The protocol is localized and distributed, and adapts efficiently to very traffic. Graphs are analyzed using NS-2 simulator, here end-to-end packet latency, packet delivery ratio, throughput are analyzed. This is done for 30 nodes in NS-2 simulation.

Published by: Megha I Mathapati, Mr. Shrikant Salotagi

Author: Megha I Mathapati

Paper ID: V2I2-1140

Paper Status: published

Published: April 11, 2016

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X