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Research Paper

Stock price prediction using machine learning models in python

The project aims to provide retail investors with Machine Learning models to navigate through the stock market. This is achieved through the use of machine learning and Python. Several stock price prediction approaches and models are developed including Recurrent neural networks i.e. LSTM, simple linear regressions, and Decision Tree Models. By taking the past stock prices the models were trained and tested on that data to predict the stock prices.

Published by: Kathika Sai Krishna, Mettupalli Hari Naveen Reddy, Appidi Koushik Reddy, Mukkamalla Naveen Reddy

Author: Kathika Sai Krishna

Paper ID: V7I2-1525

Paper Status: published

Published: April 28, 2021

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Research Paper

Performance evaluation of artificial neural network in parameter estimation of infiltration models on a clay soil

In the present study, attempts have been made to predict the soil infiltration rate by using the Kostiakov infiltration model. Subsequently, the feedforward backpropagation Artificial Neural Network (ANN) was employed to evaluate the constants of the Kostiakov infiltration model. The double ring infiltrometer approach was employed for collecting the infiltration test data. Infiltration tests were carried out for winter and summer seasons on 106 observation points, over the study area. The parameters of the infiltration model stated above are determined along with this data for different soil properties like bulk density; moisture content; % sand; % silt; % clay; electrical conductivity; field capacity; and wilting point which were determined by experimentation. These data serve as input to the ANN and the parameters of the Kostiakov model were determined. The performances of ANN models with the different input combinations are evaluated for the prediction of the Kostiakov model parameters on clay soil. The performance of the ANN was assessed based on various evaluation criteria. The Nash-Sutcliffe efficiency was observed to be 93.79% and 97.71% for model parameters ‘a’ and 'b' respectively. Thus, the study demonstrates the application of ANN for the evaluation of infiltration characteristics of clay soil obviating the need for carrying out tedious field experimentation.

Published by: Dr. Chandrakant L. Jejurkar, Dr. Milind L. Waikar

Author: Dr. Chandrakant L. Jejurkar

Paper ID: V7I2-1456

Paper Status: published

Published: April 28, 2021

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Research Paper

Comparative study of effect of different types of mesh refinements on static analysis of car wheel RIM

Rim is one of the parts of the wheel on which the tire is mounted and it is connected to the hub. Different materials are used for manufacturing the rim such as Aluminium alloy, Magnesium Alloy, etc. The aim of this paper is to evaluate and compare the result of Static Analysis of different materials with respect to the different types of refinements on a Car Wheel Rim. Modeling and Analysis are done in Catia V5 and ANSYS respectively. Static Analysis with different mesh refinements to be done on the Car Wheel Rim of different materials to validate the best material used for the car wheel rim.

Published by: Yash Manoj Kolte

Author: Yash Manoj Kolte

Paper ID: V7I2-1504

Paper Status: published

Published: April 28, 2021

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Research Paper

Electronic healthcare records

In this digital era, everything is being computerized or being made electronic, or being automated. Keeping this change in mind many industries and services were made online and automated while all the industries are computerized and automated at a fast pace the medical industry, and its services are lagging back in this change. Keeping this change in mind the electronic healthcare records (EHR) are made. EHR is the electronic version of patient medical records, which are more portable and efficient.

Published by: Koundinya Pudota, Navin Maurya, Nandlal Das, Suresh Kumar Balini, Manpreet Dhindsa

Author: Koundinya Pudota

Paper ID: V7I2-1507

Paper Status: published

Published: April 28, 2021

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Others

Structural health analysis and monitoring of RC jetty structure and rehabilitation methodology

Jetty is the interface between the land mode of transportation and the waterways mode of transportation. The structural deterioration of jetty structure depends upon various parameters such as their exposure conditions, oceanographic conditions, salinity, ballast water contamination, wind velocity, and its direction. Jetty structures are subjected to dead load, live load, earthquake load, and additional marine loads like current load, wave load, berthing load, and mooring load. The present study is carried out to suggest the most appropriate rehabilitation measures or repair methodology by inspecting, analyzing, and monitoring of RC jetty structure. The inspection reports and NDT test results help to find the extent of the spread of damages and level of deterioration of the jetty structure.

Published by: Aniket Pradeep Bhandari, P. A. Dode

Author: Aniket Pradeep Bhandari

Paper ID: V7I2-1514

Paper Status: published

Published: April 28, 2021

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Research Paper

Test crosses evaluation for identification of maintainer and restorer lines in hybrid rice breeding programme

The study was conducted to identify potential maintainers and restorers in developing rice hybrids through a three-line system. During Kharif 2018 six established CMS lines were crossed with 34 elite lines and 87 F1s were evaluated during 2019 in test cross nursery. Among these 49 genotypes recorded effective the restorability with more than 75% spikelet fertility, 9 genotypes recorded partial fertility with 50-75% spikelet fertility, 3 genotypes were partial maintainers with 1-50% spikelet fertility, and 25 genotypes as maintainers with 100% pollen sterility. In the present study, high frequency of restorers (56%) was observed than maintainers (29%). The genotypes NTCN1, NTCN 31, and NTCN 93 can be used for the development of new CMS lines through recurrent backcrossing programme and other potential restorers like NTCN 2, NTCN 3, NTCN 18, NTCN 19, NTCN 31, NTCN 33, NTCN 58, NTCN 78, NTCN 79, NTCN 80, NTCN 85, NTCN 97, NTCN 98, NTCN 101, NTCN 102, NTCN 103, NTCN 104, NTCN 105, NTCN 109, NTCN 111, NTCN 115, NTCN 113, NTCN 116, NTCN 118 and NTCN 119 can be used for developing early to medium duration hybrids in rice.

Published by: N. K. Gayathri, M. Subba Rao, P. Pullibai, S. Vasundhara, S. Md Rafi

Author: N. K. Gayathri

Paper ID: V7I2-1475

Paper Status: published

Published: April 28, 2021

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