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Education and women empowerment in India

Education is one of the most creative means of empowerment. It helps a person to realize his or her potential in a social group to achieve higher social mobility and the state to maintain good social order. Empowerment through education can also be dealt with by following a capabilities approach. Being an important component of developing capabilities, education has an intrinsic role to play in developing freedom and leaving the rest to be attained through institutional and legal means. Education is fundamental for achieving full human potential, developing an equitable and just society, and promoting national development. Providing universal access to quality education is the key to India’s continued ascent, and leadership on the global stage in terms of economic growth, social justice and equality, scientific advancement, national integration, and cultural preservation. Universal high-quality education is the best way forward for developing and maximizing India`s rich talents and resources for the good of the individual, the society, the country, and the world at large. India will have the highest population of young women in the world over the next decade, and our ability to provide high-quality educational opportunities to them will determine the future of their progress, development, and empowerment.

Published by: Dr. P. Prameela Margaret

Author: Dr. P. Prameela Margaret

Paper ID: V7I2-1297

Paper Status: published

Published: April 28, 2021

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Research Paper

Design and analysis of aircraft landing gear

The landing gear is a vital structural unit of an aircraft that enables it to take off and land safely on the ground. A variety of landing gear arrangements are used depending on the type and size of an aircraft. Nowadays we can see that majority of failures of aircraft structure take place because of the malfunction of the landing gear system solely. This work is mainly focused on structural design and analysis of the main landing gear for an aircraft, that is economical and possesses a high strength to weight ratio but still simple in design. A typical landing load case will be assumed for which structural analysis will be carried out. During landing, there will be three different types of loads: 1. Vertical load (Compressive Load) 2. Drag load 3. Sideload Drag load and sideload values are terribly tiny in comparison to compressive load. So we will be focusing on the Vertical load. So we have taken the standard landing gear of an aircraft and it is designed by using Solid-works 2019 and analyzed for structural safety using ANSYS 19.2 software. The maximum possible load is given as design load. The landing gear assembly is analyzed for the traditional metallic materials like Aluminium Alloy-AlSI1030 Carbon Steel, Structural Steel IS2062 Fe440, and Titanium Alloy-Ti-8Al-1Mo-1V using ANSYS software and by comparing the results obtained by the mentioned material the best suitable material will be concluded that may be considered as best suitable and safer material.

Published by: Mahesh Ashok Raut, Rohit Thirrupathi Tumma, Shravani Suresh Desai, Satyendra Rajkumar Upadhyay, Prathamesh Preetam Choughule

Author: Mahesh Ashok Raut

Paper ID: V7I2-1437

Paper Status: published

Published: April 28, 2021

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Research Paper

Brain tumor detection and classification using convolutional neural network

Brain tumors can cause cancer if not detected and diagnosed at early stages. Currently, Brain tumor detection and classification is done by performing Biopsy which is a very time-consuming process. Improvement in technology and Machine learning algorithms can help radiologists in tumor diagnostics in less time and effort. We propose a model that would first segment the MR image and identify the presence of tumor in the brain and if detected then a deep learning-based CNN architecture that would classify the tumors in MRI images into Benign and Malignant tumors and act as a strong base for the staff to decide the curing procedure. The development of the model will be divided into training and testing phases and would be tested using multiple databases and different methods. Having achieved high accuracy, reliability, and execution speed, the developed CNN architecture would act as a strong decision-supportive tool in medical diagnostics for radiologists.

Published by: Darshan Bhamare, Vijay Sawale, Vinay Gupta, Ajay Ghosade

Author: Darshan Bhamare

Paper ID: V7I2-1496

Paper Status: published

Published: April 28, 2021

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Research Paper

Employee attrition prediction using machine learning

Nowadays, Employee Attrition Prediction becomes a major problem in organizations. Employee Attrition is a big issue for organizations especially when trained, technical and key employees leave for a better opportunity from the organization. This results in financial loss to replace a trained employee. Therefore, we use the current and past employee data to analyze the data for employee attrition. For the prevention of employee attrition, we applied a well-known classification method named the Random Forest method on Kaggle’s data set. For this, we implement a feature selection method on the data and analyze the results to prevent employee attrition. This is helpful to companies to predict employee attrition, and also helpful to their economic growth by reducing their human resource cost.

Published by: K. Shirisha, Gousiya Begum

Author: K. Shirisha

Paper ID: V7I2-1471

Paper Status: published

Published: April 27, 2021

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Research Paper

Study of the impact of mesh size for static structural analysis of motorcycle wheel

Mesh size has a significant effect on finite element analysis of Motorcycle Wheel. The purpose of this study is to analyze those effects in detail and study their impacts on the results of static structural analysis of the Motorcycle Wheel. The importance of the wheel in the automobile is obvious. The vehicle may be towed without the engine but at the same time, even that is also not possible without the wheels, the wheels along the tire have to carry the vehicle load, provide a cushioning effect and cope with the steering control. Generally, wheel spokes are the supports consisting of a radial member of a wheel joining the hub to the rim. The most commonly used materials for making Wheel spokes are with features of excellent lightness, thermal conductivity, corrosion resistance, characteristics of casting, low temperature, high damping property, machine processing, and recycling, etc. This metal's main advantage is reduced weight, high accuracy, and design choices of the wheel. This metal is useful for energy conservation because it is possible to recycle. Spokes make vehicles look great but at the same time, they require attention in maintenance.

Published by: Nandan Sainath Mukkawar

Author: Nandan Sainath Mukkawar

Paper ID: V7I2-1509

Paper Status: published

Published: April 27, 2021

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Research Paper

How can the Houthi ethnic supremacy beliefs undermine the social and political stability in Yemen?

As the breaking out of the war in Yemen occurred because of the coup made by the Saleh-Houthi alliance in 2014, the world began to show more attention to Houthis as a Zaydi religious group. But, in order to understand Houthis in-depth, it is quite important to study its historical, social, and religious roots, try to decode its complexities. This paper aims to analyze historically Houthis in its anthropological roots of Zaydi-Hashimism. The paper also studies the ethnic superiority in the Houthi' beliefs using the theoretical frame of ethnocentrism. As well as it examines if these beliefs contribute to the Yemeni social and political instability since the first Jarudian Zaydi state has been established in Yemen thousand years ago. In addition to that, the paper studies the new phenomenon of Aqyal as an anti-Hashemite movement, and if it is an extension of the national liberation movements that struggled against Imamate in the past. It examines if the Aqyal as a national movement can increase its popularity in the future.

Published by: Hesham Alziady

Author: Hesham Alziady

Paper ID: V7I2-1433

Paper Status: published

Published: April 26, 2021

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