Heat Index predictions using statistical models for Mumbai (Colaba)
Heat Index is an important measure in determining the safety of temperature conditions for humans. Extreme heat can lead to dangerous, even deadly, health consequences, including heat stress and heatstroke. Thus, there is a need to predict the Heat Index accurately in order to warn individuals about such conditions so that they take appropriate precautions. In this paper, we look at weather data in Mumbai from 2008 to 2020 and attempt to come up with predictive models for the Heat Index. We carry out feature selection first in order to efficiently use a variety of algorithms to develop predictive models. We use various mathematical techniques such as Multiple Linear Regression (MLR), Simple Exponential Smoothing (SES), Artificial Neural Networks (ANN), and Auto-Regressive Integrated Moving Average (ARIMA) models to predict the heat index. The experimental results are evaluated and compared using the Root Mean Square Error (RMSE). On experimenting with all four models, it was discovered that the ARIMA model yields the best predictive model having an RMSE of 0.354654 on testing data. This model is also concluded to be optimal as the residuals of this model are a gaussian white noise. Furthermore, the poor performance of MLR indicates that temperature cannot be accurately modeled through a linear function of the variables considered.
Published by: Sahil Rane
Author: Sahil Rane
Paper ID: V6I6-1194
Paper Status: published
Published: January 25, 2021
Non-performing assets and their effect on the Indian economy
Non-performing assets have negatively affected the Indian Economy for several years now. While NPAs have been present for a long time, they sky-rocketed in India during the mid-2000s. The objective of this paper is to explain what NPAs are and show the causes as well as the impact of NPAs in India.
Published by: Ayush Bhatia
Author: Ayush Bhatia
Paper ID: V7I1-1192
Paper Status: published
Published: January 23, 2021
Psychological Impact of Covid-19 in India
The Covid-19 Pandemic has caused the world to go into lockdown. This lockdown and isolation from others have had a negative impact on the psychological and emotional health of many people. The objective of this study is to study the effect the Covid-19 pandemic has had on people of 16-36 years of age. This study has been conducted with a help of a survey completed by 160 participants of various backgrounds. The study suggests that more than 40% of the participants are experiencing anxiety and depression symptoms.
Published by: Ayush Bhatia
Author: Ayush Bhatia
Paper ID: V7I1-1176
Paper Status: published
Published: January 23, 2021
In Vitro Toxicity of Bavistin (Carbendazim 50% Wp) On Sclerotium Rolfsii Sacc.
When the hosts are susceptible and the environment is feasible the viable fungal pathogens cause many plant diseases. The diseased plant fails to produce a healthy yield and also declines its viability. To inhibit the effect of fungal pathogens either natural or synthetic fungicides are applied. The present investigation deals with In vitro antifungal activity of the synthetic fungicide Bavistin (50% WP) on Sclerotium rolfsii Sacc. using poisoned food technique. Mainly 0.2mg, 0.4mg, 0.6mg, and 0.8mg of fungicide were incorporated into four different 100ml PDA media and obtained specific concentrations such as 10ppm, 20ppm, 30ppm, and 40ppm respectively, and then poured into four different Petri plates. It was found very toxic at 40ppm and the growth was completely inhibited whereas the lower concentrations such as 30ppm, 20ppm, and 10ppm showed various degrees of inhibition on soil-borne fungus Sclerotium rolfsii Sacc.
Published by: Dr. Prashant Kumar, Dr. C. Narayana Reddy
Author: Dr. Prashant Kumar
Paper ID: V7I1-1172
Paper Status: published
Published: January 23, 2021
Analysis of concrete with using human hair as fiber-reinforced
Human hair is a waste material that is found in the bountiful sum in the day by day life. It is a typical constituent in city squander streams and causes ecological issues as it is a non-degradable waste. Fiber strengthened cement gives great flexure strength less brake improvement. Since concrete is frail in strain thus a few estimates should be embraced to defeat this insufficiency. Human hair is by and large solid in strain; henceforth it very well may be utilized as a fiber fortification material. Human hair Fiber is a choice non-degradable issue available in riches and at unassuming cost. Hair additionally diminishes ecological issues. Likewise, expansion of human hair strands upgrades the coupling properties, miniature breaking control, Imparts ductility, strength and furthermore builds expanding opposition. The exploratory discoveries in our investigations would support future examination toward the path for long haul execution to expanding this expense of powerful kind of strands for use in primary applications. The examination was led on solid 3D shapes, chambers, and light emissions size with expansion of different rates of human hair fiber i.e., 0%,0.5% 1%,1.25%,1.5%, and 2% by weight of concrete, fine and coarse aggregate, and results were contrasted and those of plain concrete cement of mid-range grade. For every level of human hair included solid, we make a different cubes sample that was tried for their individual mechanical properties at relieving times of 7days, 14days, and 28days. The ideal amount of human hair was gotten as 2% by the weight of concrete. That investigation encourages the fresher to comprehend the human hair fiber fortified execution in concrete cement.
Published by: Akshay Patel, Abhay srivastava
Author: Akshay Patel
Paper ID: V7I1-1188
Paper Status: published
Published: January 23, 2021
A lightweight encryption authentication scheme using rectangle and chaotic logistic map algorithm for smart grid
Smart Grid is the advanced power grid system that combines renewable energy resources like wind, solar, biogas with the existing power system. Besides that, it provides two-way communication using a large number of electronic devices between the customer and providers which is also known as Advanced Metering Infrastructure (AMI). The devices are resource constraint devices and sensitive information is communicating through them. Therefore, in this paper, these constraints are taken under consideration and designed a lightweight encryption authentication scheme for AMI. The lightweight RECTANGLE and chaotic Logistic map algorithms are taken under consideration. These algorithms encrypt the information along with generating authentication tags. These tags are used on the receiver side to verify the authenticity of the data. The algorithm is simulated in MATLAB and various performance parameters calculated for it. After that, it is compared with the existing algorithms.
Published by: Arun Kumar, Puneet Jain
Author: Arun Kumar
Paper ID: V7I1-1178
Paper Status: published
Published: January 23, 2021
