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Research Paper

Analysis of Twitter Reactions to Government Policies

With the increasing use of social media, especially Twitter, the way governments policies are perceived can be understood through the reactions they garner on twitter. In India, in recent times, there have been many significant policy changes like demonetization, Goods and Services Tax to name a few. Sentiment analysis of Twitter reaction to these policy changes across different regions can provide very useful insights. In this paper, we talk about sentiment analysis of twitter reactions, its use in the government policies context, the various methods which can be used for it and output visualization for better understanding.  

Published by: Vidya Zope, Anagha Karmarkar, Mansi Shivani, Vinit Pawar, Kanchan Tewani

Author: Vidya Zope

Paper ID: V4I1-1361

Paper Status: published

Published: February 13, 2018

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Research Paper

Healthcare Blockchain leads To Transform Healthcare Industry

Blockchain can nail the Healthcare domain. Using the concepts and features of the Distributed ledger, Healthcare industry can be transformed. Blockchain can change the future of Healthcare Industry. Healthcare records, Lab assessment results, doctor’s perceptions and Minute details of the healthcare industry in the form of transactions can be stored in a decentralized way in the form of blocks and these blocks can further be linked as per series of event in the form of blockchain in distributed ledgers. Highly complex process and manually intervention can be eliminated. Highly transparent and secure systems can be built on top of blockchain technology by introducing identity manager.  

Published by: Sourabh Sethi

Author: Sourabh Sethi

Paper ID: V4I1-1359

Paper Status: published

Published: February 13, 2018

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Review Paper

Stock Price Prediction Using Neural Networks

Trading stocks on the stock market are one of the major investment activities. In the past, investors developed a number of a stock analysis method that could help them predict the direction of stock price movement. Modelling and predicting of equity future price, based on the current financial information and news, is of enormous use to the investors. Introduction of machine learning caused that new models can be developed based on the past data. Our main hypothesis was that by applying machine learning and training it on the past data, it is possible to predict the movement of the stock price. Particularly, we want to determine the percentage of growth or fall in a stock price for the next day which can be variable. Usually, investors want to select the stocks which will grow in price substantially.

Published by: Shallu Bashambu, Aman Sikka, Pallav Negi

Author: Shallu Bashambu

Paper ID: V4I1-1346

Paper Status: published

Published: February 13, 2018

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Review Paper

A Review on Closed-Loop Digital Predistortion (DPD) Used To Linearize RF Power Amplifier

Digital pre-distortion (DPD) used to linearize an RF power amplifier (PA) can achieve wide bandwidth distortion cancellation. The predistortion technique is one of the most effective linearization technique. Model-based DPDs also called polynomial based DPDs, are mostly used for the linearization of PA. For the memoryless system, the polynomial model can be used to model the predistorter. For memory system, the models such as Volterra series model, generalized memory polynomial model, Hammerstein model and Wiener model all are used to model the predistorter. DPD architectures can be classified into two types Indirect Learning Architecture (ILA) and Direct Learning Architecture (DLA).In this paper, a survey on different model digital predistortion used to linearize RF power amplifier in different works.

Published by: Sherihan A C, Shameena P P, Ayisha Shamna K K

Author: Sherihan A C

Paper ID: V4I1-1327

Paper Status: published

Published: February 13, 2018

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Research Paper

A Study of Performance Appraisal System of Employees at Cement Industry

India is the second largest cement producer in the world that makes cement industry one of the most important industries in India. In any country, the production and consumption of cement define the country's progress to the certain extent. It comes from iron and steel industry, therefore, it plays the vital role in country's economy. Industry depends upon many factors such as capital, funds, technology and a very important factor is a human aspect, therefore, the need of Human Resource Management (HRM) came in focus where PMS is a very important factor. There are a number of factors, which make an impact on the employee, but PMS plays a vital role. If the workforce is poorly utilized then the growth of future in terms of employee satisfaction would be very tough. HRM is considered as the backbone of any industry including cement industry and PMS is considered as a key factor for building and developing the profitability of cement industry, besides land, technology, capital etc. HRM concept is considered as a sunrise whereas traditional personnel management is considered as sunset concept. HRM has aspired to be a business partner and see the PMS linkage with organization employee satisfaction. Hence, in cement industry, PMS is very important for whole production cycle. To analyze, understand and review the existing performance appraisal system and its implementation process in Shree Cement Ltd.

Published by: Juhi Yadav

Author: Juhi Yadav

Paper ID: V4I1-1283

Paper Status: published

Published: February 13, 2018

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Survey Report

A Survey on Retinal Red Lesion Detection Techniques for Diabetic Retinopathy Screening

Diabetic retinopathy (DR) is a sight-threatening condition occurring in persons with diabetes, which causes progressive damage to the retina. People with diabetes mellitus need annual screening to check for the development of diabetic retinopathy (DR).The early detection and diagnosis of DR are vital for saving the vision of diabetic persons. The early signs of DR which appear on the surface of the retina are the dark lesions such as microaneurysms (MAs) and hemorrhages (HEMs). The shape and count of these features are used to indicate the severity level of diabetic retinopathy. A computer aided diagnosis system can help to reduce the burden on the ophthalmologist and rapidly identify the most severe cases. So in this paper, a survey of different red lesion detection techniques and automated analysis are discussed.

Published by: Shameena P P, Ayisha Shamna. K K, Jamsheera. K

Author: Shameena P P

Paper ID: V4I1-1274

Paper Status: published

Published: February 13, 2018

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