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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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Review Paper

Paper battery: An ecofriendly solution

The Major disadvantage of lithium-ion batteries is they are toxic and also produce E-waste which affects the environment. The release of such chemicals through leaching spills or air emissions can harm communities, the ecosystem, and food production. Besides, lithium extraction hurts the dirt and causes air tainting. According to the Environmental Protection Agency (EPA), the US alone throws away more than three billion batteries each year, above information give the idea of how important to find the replacement of toxic lithium-ion batteries by non-toxic batteries, i.e. Paper battery. Also, they are occupied more space as compare to paper batteries. The weight of traditional lithium-ion batteries is more than paper batteries. Our paper gives a brief idea of the replacement of toxic lithium-ion batteries with eco-friendly paper batteries. A paper battery is an adaptable, super slim energy stockpiling and creation gadget shaped by joining carbon nanotubes with a customary sheet of cellulose-based paper. Being Biodegradable, Lightweight, and Non-poisonous, adaptable paper batteries have expected versatility to power the up-and-coming age of hardware, clinical gadgets, and mixture vehicles, considering revolutionary new plans and clinical advances.

Published by: Abhijit S. Shinde, Sourabh Sanjay Vathare, Sourabh Shivaji Gaikwad, Arshiya Iqbal Sanade

Author: Abhijit S. Shinde

Paper ID: V7I2-1490

Paper Status: published

Published: April 26, 2021

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Research Paper

Seismic resistive design for tunnel approach – A case study of Rohtang region

Modernization demands enhanced infrastructural development in every corner of any nation. The integrated road network in the hilly area itself is a big challenge. Construction of tunneling projects tends to increase the road network connectivity in hilly terrain. This improves traffic capacity, which enables frequent mobility of transport systems. A case study of vulnerable tunnel approach passing through tectonically active multi-folded rock mass of young mountains in Rohtang region has been discussed. An estimated 8.8 km long Rohtang tunnel (NATM tunneling) was proposed passing through a diversified geological sequence of uniform dipping rocks having quartzite, quartzitic-schist, and quartz-biotite schist with a thin band of phyllites creating high-stress flow due to overburden. Deep-seated complex failure has been observed at this location. Tunnel squeezing and rock bursting occurred due to explosion, redistribution of elastoplastic pressure during tunneling works. The jointed rock is having an NW-SE joint strike with 220/35° dip direction having three joint sets. In this case study, stability of around 200 m of affected scarp zone has been addressed using the FEM technique. Mohr-coulomb and Generalized Hoek- Brown parameters have been defined for overlying mass and underlying weathered, jointed bedrock strata respectively. Squeezing and exceeding tangential stresses at the periphery of tunnel area as compared to unconfined strength of near lying disturbed rocks resulted in a high concentration of stresses at tunnel approach. Considering all these aspects, micro piles are used at intermediate levels below the road level with pre-stressed cable anchors at the tunnel passage level. Consequently, an increase in strength reduction factor of 98 percent and 80.9 percent has been observed under static and seismic conditions respectively. Control of massive displacement is a major concern for this critical location. FEM analysis shows that stress displacement vectors have been controlled up to 84 percent using stabilization techniques of cable anchors and micro piles.

Published by: Arghadeep Dasgupta

Author: Arghadeep Dasgupta

Paper ID: V7I2-1440

Paper Status: published

Published: April 26, 2021

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