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Green Communications and Energy Efficiency

With the advancement of technology, there is a considerable increase in the usage of mobile phones and other telecommunication devices. Today we are in the development phase of building a Smart City. People want the technology to develop further because it has influenced their living. It is very difficult for a person to survive without using a mobile phone. In the earlier days, people used pigeons for communication. With the increase in technology many environmental problems arise because they consume power. CO2 emission has increased drastically during the last few years. CO2 emission leads to greenhouse effect which further leads to global warming. Energy efficient network technologies have to be developed which consume less power and produce a better Quality of Service (QoS). Renewable sources of energy can be used for power generation and the power generated can be effectively used by the base stations only during the active hours of the day. [1] Green communications should be implemented for the development of “An Eco-friendly Smart City”.

Published by: K Vishrutha, G Janvi Sruthi, G Vedavasu, T Yeswanth Reddy, K Manikandan

Author: K Vishrutha

Paper ID: V4I2-1461

Paper Status: published

Published: March 28, 2018

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Research Paper

Automatic Sag and Swell Detection and Changeover for Clean Power

Phenomenon of voltage sag and swell happen directly from utility side or at customer side because of operation of certain types of equipment. Mitigation of such phenomenon is important as many of the equipments are sensitive to such conditions and may undergo irreversible damage. In recent years many novel systems for voltage sag and swell detection have been proposed albeit most of them targeted towards utility side voltage sag and swell detection and mitigation. Our present project is an attempt to develop customer side voltage sag and swell detection system based on embedded system. Again facility for automatic changeover of power source is considered to facilitate supply of clean power as long as the phenomenon exits. Hereby we present the concept, design and field results of our attempt.

Published by: Indrajeet Jadhav, Amol Thorat, Kamble A. A, Agane A. A

Author: Indrajeet Jadhav

Paper ID: V4I2-1350

Paper Status: published

Published: March 28, 2018

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Research Paper

Public Integrity Auditing with Multi user Modifications

Cloud Computing has visualized as the next-generation architecture of IT Enterprise.A cloud storage system, consisting of a collection of storage servers, provides long time storage services over the internet.Storing data in third party’s cloud system causes serious concern over the data secrecy.In, this paper our main aim is, we allow the third party auditor on behalf of the cloud client, to verify the integrity of dynamic data that is stored in the cloud.The most general forms of data dynamic are modifications, insertion, and deletion.To, give them more efficient in handling the multi-users the ring signature is used by the privacy-preserving mechanism.When the data is stored in the cloud it has an only certain time limit to be present in cloud storage to overcome this time limit process we use hashing technique, this makes the data to be stored in a long period of time, by key generation process.And, also we use MD5algorithm for uploading the data and encrypted in hexadecimal form.

Published by: Kolachina. Amrutha, Dr. Prayala Shyry

Author: Kolachina. Amrutha

Paper ID: V4I2-1298

Paper Status: published

Published: March 28, 2018

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Survey Report

Stock Price Prediction using Artificial Neural Network

Stock market prediction is the art of determining the future value of a company stocks. This paper proposes a machine learning (ANN) artificial neural network model to predict stock market price. The proposed algorithm integrates the backpropagation algorithm. The backpropagation algorithm is employed here to training our ANN network model. And in this paper, we have done a research on the TESLA dataset.

Published by: Omprakash Barapatre, Eric Tete, Chandan Lal Sahu, Domesh Kumar, Hira Kshatriya

Author: Omprakash Barapatre

Paper ID: V4I2-1431

Paper Status: published

Published: March 28, 2018

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Research Paper

Human Health Analysis

The main aim of the project is to give a profound examination on the exploration field of healthcare data analytics and also featuring some of rules and holes in past investigations. This investigation has concentrated on seeking significant papers about healthcare analytics. The paper has recorded a few data analytics instruments and procedures that have been utilized to enhance healthcare execution in numerous zones, such as medical operation, reports, decision making, prediction, and prevention system. The health data are obtained from the patients using web forms and the data collected are converted into an excel file which is encrypted and stored in the cloud. From the excel file, the input is given to R programming studio for data analysis. In R programming clustering and classification are processed to define the normal or abnormal conditions. For clustering, we used k-means algorithm and for classification, we used naive Bayes algorithm. Finally, the output is shown using Shinyapps.io web services  

Published by: Deepesh S

Author: Deepesh S

Paper ID: V4I2-1466

Paper Status: published

Published: March 28, 2018

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Research Paper

The Serving Robo

This article describes the design and development of a Serving Robo which is considered as a possible solution to human automation. The robo technology will replace manual work throughout the world. In cafes, restaurants, hotels, and lodges, many individuals face a lot of problems due to abundant peak hours, the inconvenience of work and due to manual order processing these imperfections can be handled by using an electronic automation system called “Serving Robo” are used for ordering food, beverages, cleaning tables etc. The order from menu bar via kitchen is broadcasted on the wireless network. The menu bar includes LCD, Keypad, and Bluetooth module. When an individual places an order using the electronic menu bar. Using communication network the order is sent to kitchen and reception. Then food is handover to the individual.

Published by: Lubna Fathima, Salmiya Afsheen, Aishwarya .S. Acharya, Saniya Taskeen, Mohammed Elahi

Author: Lubna Fathima

Paper ID: V4I2-1391

Paper Status: published

Published: March 28, 2018

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