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Research Paper

Impact of a drug on cancer

We investigate whether there is a direct correlation between the impact of a drug on cancer occurrence by taking into consideration various samples of the drug. We examine the process by taking into consideration two independent factors related to a drug which are the amount of dosage(in grams) and No. of Times(Dosage Per Week). We perform the regression, distribution and correlation analysis on all the 3 variables viz. impact, amount of dosage and no. of times(dosage in a week). We have done the analysis with the help of 530 samples of drugs that helped us determine our objectives.

Published by: Reet Bhansali

Author: Reet Bhansali

Paper ID: V6I2-1219

Paper Status: published

Published: March 10, 2020

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Research Paper

Statistical analysis of birth rate in India

The aim of the analysis is to find the trends in birth rate (per 1000) in India. The statistical tools utilized are regression analysis, trend line and 5 yearly moving average. Data from the past 29 years was used to study the trends and predict the next 3 years. Using the data conclusions were drawn on the effectiveness of government policies related to family planning.

Published by: Meherzad Bhadha

Author: Meherzad Bhadha

Paper ID: V6I2-1218

Paper Status: published

Published: March 10, 2020

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Research Paper

Average stock price comparison of HUL and ITC limited

The following research paper compares the stock prices of 2 major players in the FMCG industry- Hindustan Unilever and ITC from 8 March 2018 - 6 March 2020

Published by: Mohammed Jabalpurwala

Author: Mohammed Jabalpurwala

Paper ID: V6I2-1213

Paper Status: published

Published: March 10, 2020

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Research Paper

Analysis of relation between units sold and total profit

We investigate whether there is a direct correlation between the quantity sold and the profit created from it. There are two variables – quantity sold and Total profit, our analysis will be focused on both of them. The analysis involves correlation and regression of both the variables and predicting the future value. The research paper also involves graphs that depict sales in different quantities. There are 524 entries in the research paper which will help us determine our objectives.

Published by: Yash Sarna

Author: Yash Sarna

Paper ID: V6I2-1211

Paper Status: published

Published: March 10, 2020

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Research Paper

Analysis of orders by an average retail store

A normal retail store usually has most of the necessary FMCG products. Obviously retail stores do not produce these goods, they are just a medium through which the companies sell their goods. But, retailers do not always purchase the goods directly from the company to produce these products; they buy it from the wholesalers on a daily, weekly or monthly basis. Here, I have collected data about the goods that stores order daily because of their demand or perishability.

Published by: Malak Chheda

Author: Malak Chheda

Paper ID: V6I2-1210

Paper Status: published

Published: March 10, 2020

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Survey Report

Investigation on power quality assessment in data centre

The Data Centre (DC) is used to store the database for customer’s related services like banking, IT sectors and share marketing etc. In order to accomplish the scheduled tasks and manipulate the bushiness hours effectively Data Centre (DC) needs uninterrupted power supply (UPS). The major types of equipment of DC are UPS, chiller or PAC, Precision Air Handling Unit (PAHU) or Air Handling Unit (AHU) etc. While these types of equipment come into operation they are adversely affected by power quality problem particularly from voltage sag. If the voltage magnitude during the voltage sag exceeds the low voltage tolerance limits, the sensing device in the UPS system senses the input voltage with respect to tolerance limit and it turns ON the battery mode. Under battery mode condition the Data Centre (DC) gets rated voltage continuously and work is carried out without power interruption. When the incoming supply voltage is resumed back to its rated value UPS systems turns off the battery mode and turns on the normal supply mode. This is how the Data Centre (DC) is effectively compensated by UPS. But in the case of chiller PQ problem caused by voltage sag is not compensated. If the voltage sag events continue, the under-voltage relay trips the power input and data centre equipment get to turn off. Hence the room temperatures of DC will abruptly increase and causing data center failure. In order to figure out the problems in data centre caused by power quality i.e. voltage sag, the PQ assessment was carried out at DIGSILENT power factory in Bengaluru, India connected with 11 kV Ring Main Unit (RMU) for four days between 22/9/2017 to 25/9/2017. About 36 voltage sag events and 4 interruptions were captured and the highest temperature inside the DC hall was also recorded. This paper discusses the techno-economical location for installing the DSTATCOM to enhance the power quality during voltage sag event for the data centre (DC). Dranetz Power Guide 4400 Power Quality Analyzer (PQA) has been used for PQ assessment and carried out at DIGSILENT power factory

Published by: S. Arivazhagan, P. Sivaraman

Author: S. Arivazhagan

Paper ID: V6I2-1208

Paper Status: published

Published: March 10, 2020

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