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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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Research Paper

Enhancement of heat transfer using perforated fin

In many engineering applications, extended surfaces referred to as fins are used to enhance convective heat transfer. The problem of forced convection heat transfer for perforated fins was investigated in this work. An experimental study was conducted to investigate the heat by forced convection transfer in a rectangular non-perforated fin and circular perforated fin. The investigation is conducted to compare the heat transfer rate of two different fins one is with circular perforation and another one is without perforations. The work done on various kinds of fins, the effect of perforation shape or geometry on the heat transfer was simulated in ANSYS 17.2 to work out the simplest type of fin to be used. The parameters which were considered are the thermal properties of the fin and perforations. The study takes into account the gain in fin surface area and the extent of heat transfer enhancement due to perforations. The comparison between experimental results and software results of the kinds of fins perforation was analyzed for the heat transfer coefficient to clarify the simplest perforation shape for the specified application.

Published by: Aditya Vasant Hadawale, Sourabh Gautam Gawai, Vidisha Gautam Karwade, Archana Namdeo Rupnar, Prathamesh Patil

Author: Aditya Vasant Hadawale

Paper ID: V7I2-1522

Paper Status: published

Published: April 28, 2021

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Research Paper

A comparative analysis of machine learning techniques for automatic text classification

Text processing and its related activities have reached their peak demand in the present days due to the increase of unstructured data. The underlying structure in any text can be derived through categorization techniques. The capacity of text classification algorithms to perform the conversion from structured to unstructured data is the key factor in all text processing activities. To further enhance this, many concepts from other disciplines such as statistics, physics, and mathematics were tailored to suit the needs of text analyzing pipelines. Text classification techniques help to build the template necessary for extracting meaningful information. Hence, this paper undertakes a study of comparison on various text classification algorithms to reiterate their suitability for particular classes of problems. The algorithms such as ‘Naïve Bayes’, ‘Support Vector Machine’, ‘K- nearest neighbor’, and ‘Decision Tree’ were studied based on empirical analysis with respect to the WEKA data analysis platform. From the experimental results, it is seen that the strength of algorithms depended on the data type, nature of attributes, and representation of the classes. This is verified by various accuracy metrics used in the study such as precision, recall, accuracy, F1- scores, and ROC values.

Published by: Sivakami M., Dr. M. Thangaraj, P. Aruna Saraswathy

Author: Sivakami M.

Paper ID: V7I2-1523

Paper Status: published

Published: April 28, 2021

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