Over-dues forecasting using ARIMA Technique
The work presented in this paper establishes an enrichment in modeling and forecasting over-dues for Beverages manufacturing company. A time-series modeling technique used to forecast over-dues for ABinBEV (Beer manufacturing company). Our work demonstrates how historical over-dues data utilized to predict future over-dues. The historical over-dues information used to develop several Autoregressive Integrated Moving Average (ARIMA) models by using Root mean squared error (RMSE) and the most suitable ARIMA model found to be ARIMA (2, 1, 0). and validation performed by comparing the accuracy of the models with three types of accuracy criteria, which are Mean square error (MSE), Root Mean Squared Error (RMSE), and Mean absolute error (MAE).
Published by: A. Kalyan Aravind Kumar
Author: A. Kalyan Aravind Kumar
Paper ID: V6I4-1392
Paper Status: published
Published: August 20, 2020
Design and analysis of cocoon extractor
This paper tells us about Design and Analysis of Cocoon Extractor machine. One of the traditional methods for growing cocoon is by using chandrika. This method is widely used in SOUTH INDIA. The removal of cocoon from chandrika is art and it’s a careful practice followed by farmers. During extraction process of cocoon farmers face many problems i.e., labour problem, wearing of bamboo strips due to continuous strips, pricking of bamboo strips into fingers, time management and many such problems. The major problem we are facing while building the machine is that the texture of cocoon is too delicate. To solve these problems, we decided to use air as medium to extract cocoon from chandrika. This can be achieved by vacuum pressure. The basic principle we are using in this machine is vacuum cleaner’s principle. After survey we found that we need high suction pressure to suck the cocoon from the chandrika. We will be using centrifugal impeller to create high suction pressure which is driven by universal DC motor.
Published by: Yeshwant J., Samarth B. Deshpande, Yashvanth Naik M. M., Sadan Gowda V., Manjunath Naik H. R.
Author: Yeshwant J.
Paper ID: V6I4-1410
Paper Status: published
Published: August 18, 2020
Polymer-concrete composites: Impregnation
We see monuments and beautiful old buildings around us that were built ages before. They not only provide great visual joy but also remind us of our history and connects to our ancestors. With time, several of these have deteriorated causing the risk of demolition at any time. Clearly these buildings require reinforcement for sustainment. Advancement in concrete technology has led to polymer impregnated concrete which can be used for the restoration of such structures.
Published by: Ankur Kapooria
Author: Ankur Kapooria
Paper ID: V6I4-1404
Paper Status: published
Published: August 18, 2020
Accuracy of Machine Learning Models for Plant Disease Detection
Agriculture is the backbone of a nation. India has about 96 million hectare of irrigated land. With the amount of land that is cultivated as farmland, detection and prevention of diseases in crops is paramount. When diseases affect plants, particularly through their leaves it effects the production of agricultural produce and decreases profitability of a given crop. Timely identification of these diseases is very challenging in affected plants. A reliable and fast way for the detection of diseases is necessary. Detecting disease may be a key to stop agricultural losses. The aim of this is to develop a software system that is able to efficiently find and classify diseases occurring in plants. The pictures of leaves can be used for detecting the plant diseases. Therefore, use of image process technique to find and classify diseases in agricultural applications is useful.
Published by: Harshith P. K., Bitopan Deka, Nikhil N., Sumanth T. S.
Author: Harshith P. K.
Paper ID: V6I4-1396
Paper Status: published
Published: August 18, 2020
Impact of GST on FMCG companies in India
GST (Goods and Services Tax) is a recent taxation policy introduced in India in 2017. This “one nation, one tax” aims at a simpler tax regime and transparency in all transactions. The Fast-Moving Consumer Goods (FMCG) sector is an important player in the market when it comes to GDP contribution and is the 4th largest sector in the Indian economy. GST has had a significant impact on the FMCG sector. This paper aims to understand the impact of the implementation of an Indirect Tax on the companies which contribute to the FMCG sector. The research of this paper is based on both primary and secondary sources. The outcomes aim to understand the overall effect of a major change on many small and medium sized enterprises.
Published by: Aalya Jhelumi
Author: Aalya Jhelumi
Paper ID: V6I4-1395
Paper Status: published
Published: August 18, 2020
A review of implementations in wearables to detect stress
In this era where robustness is in high demand, relying on medical professionals for your regular health checkup is a bit tedious. One of the major concerns in today’s world is the stress experienced by a user, which can have adverse effects on health, also known as cognitive stress, psychological stress or psychosocial stress. There are a lot of devices present to monitor and record rudimentary information of a user’s physiology. Groundbreaking and advanced technologies such as Polyplethysmography (PPG) which provides a wide spectrum of features which can be used to observe physiological changes and compute the stress level of a person. Use of wearable devices in health monitoring has increased exponentially over the past few years. In all these devices PPG sensor has been a key component. In this paper uses of PPG sensors are discussed for obtaining values for parameters such as blood flow, heartbeat, oxygen consumption etc. These features are further used to derive complex features, e.g. heartbeat is used to get heart rate variability which in turn can be used to detect sleep stages. Other sensors in smart watches can provide skin conductance which when collaborated with features like body temperature can provide hydration level of the body. In this paper, multiple algorithms and state-of-the-art researches that use PPG technology in wearables to monitor the above mentioned features are mentioned. It is discussed that stress can be detected using sleep history, hydration, heart rate variability and oxygen consumption.
Published by: Manish Kumar Sharma, Sheshank Kumar
Author: Manish Kumar Sharma
Paper ID: V6I4-1393
Paper Status: published
Published: August 18, 2020
