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Pneumonia detection using Deep Learning

Effective and accurate health care has always been the need of the hour. Early detection of various diseases such as pneumonia, tumor, and cancer is very much essential. Pneumonia, an acute respiratory infection ranked eighth in the list of the top 10 causes of death in the United States [1]. According to WHO, it accounts for about 1.6 million deaths a year in this age group - 18% of all deaths among children under five [2]. The paper aims to automatically detect pneumonia using chest x-ray images. We prepared five different models and analyzed their performance and choose the best-suited model for developing Pneumonia Detection System. Five different pre-trained deep Convolutional Neural Network (CNN): VGG16, ResNet50, InceptionV3, InceptionResNetV2, and Xception network were used for transfer learning. VGG16 network performed well with better accuracy of 92% which is better than other CNNs.

Published by: Sathwik G. S., Soumil Diwan, Vivek S. Patil, Yatish J., Vathsala M. K.

Author: Sathwik G. S.

Paper ID: V7I5-1311

Paper Status: published

Published: October 5, 2021

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Research Paper

Fraud examination of Kingfisher Airlines

This paper primarily dwells on the fraud examination of the legendary airline company, Kingfisher Airlines, led by the flamboyant Chairman of the United Breweries Group and hitherto Kingfisher Airlines, Mr. Vijay Mallya. For the purpose of examination of fraud, two financial models in relation to the topic were employed and tested, viz. Beneish Model and Benford’s Law, while analyzing, in brief, the quality of financial auditing done using the annual reports of Kingfisher Airlines Ltd. for the period of 5 years from the financial year 2008-2009 to 2012-2013. The three variable and the five variable models of the Beneish Model were employed to obtain a score <-2.2, indicating that it was ineffective in identifying fraud by Kingfisher Airlines. Benford’s Law proved to be more effective. Due to the presence of abnormal data points or anomalies, a high chance of fraud was proved in the company’s financials.

Published by: Aditi Holla, Aditya Kanal, Ananya Mathur, Aman Chheda, Aditya Krishna

Author: Aditi Holla

Paper ID: V7I5-1305

Paper Status: published

Published: October 5, 2021

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Research Paper

Frictionless electricity generation using propeller shaft

The shaft can generate electricity if it gets magnetized which can be used to power other components. A vehicle such as this can generate electricity for operating a hybrid engine or recharging batteries by use of an electricity-generating driveshaft. The electricity-generating drive shaft consists of a magnetized driveshaft which acts as a rotor, and a series of copper wire coils surrounding the magnetized driveshaft which acts as a stator in an electrical generator. In this project, we will use the propeller shaft which rotates at high speed, on which we will mount the disc magnet and the wooden or aluminum plates to hold the coils near the magnets mounted on the propeller shaft. This rotational movement creates a magnetic field and generates EMF into the coil as defined by Faraday’s law of electromagnetic inductions.

Published by: Abhinav Khirid, Akshay Talbar, Hrithik Naik

Author: Abhinav Khirid

Paper ID: V7I5-1304

Paper Status: published

Published: October 5, 2021

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Research Paper

ICICI Mutual Fund

ICICI Securities Limited functions in providing various investment banking products with addition it is also responsible for providing services to investors, financial authorities, corporates, and retail investors in India and globally. It plays a vital role in providing corporate finance services to corporations, financial institutions, financial sponsors, and government, which comprises equity capital market products, such as initial public offerings (IPO), further public offerings. rights offerings, convertible offerings, qualified institutional placements, non-convertible debentures, buyback, delisting, and open offers and international offerings for both unlisted and listed entities. The company also offers mergers and acquisitions advisory services, and private equity advisory.

Published by: Parveen, Abhishek Bhardwaj

Author: Parveen

Paper ID: V7I5-1301

Paper Status: published

Published: October 5, 2021

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Research Paper

Structural Analysis of Angle Plate in ANSYS

Angle plates are used for supporting long shafts in order to reduce the bending stresses produced in the shafts due to their own weight. Structural analysis of Angle plate by FEA software ANSYS is presented in this report. Loads on the angle plate are due to the weight of the portion of the shaft. The maximum stresses are observed at the bolt holes and the bend. Free and have the maximum deformation because it is free to move. The maximum stresses are below the yield strength and so the design is in the safe region. Dynamic loading should be avoided by keeping the shaft balanced.

Published by: Sitesh Anand

Author: Sitesh Anand

Paper ID: V7I5-1313

Paper Status: published

Published: October 5, 2021

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Research Paper

Schiff’s Base Hydrazone: Molecular Interactions and Polarizibility constants in Water-Dioxane Mixture at 303 K temperature

The ultrasonic velocity, density has been measured for the mixture of 2,4-hydroxy acetophenone-2,4,-dichlorobenzoyl hydrazone (H2L1), and 2,4-dihydroxy-5-nitroacetphenone-2,4,-dichlorobenzoyl hydrazone (H2L2) at different concentrations in dioxane at 303 K temperature. From the experimental data different acoustical properties like apparent molar volume, apparent molar compressibility, adiabatic compressibility, intermolecular free length (Lf), relative association (RA), acoustic impedance z, etc. have been calculated. These parameters obtained have been interpreted in terms of solute-solvent and solute-solute interactions. Molar refraction and polarizability constant for (H2L1) and (H2L2) at different percentages of dioxane have been calculated.

Published by: Umesh Meshram, Gaurav Pethe

Author: Umesh Meshram

Paper ID: V7I5-1299

Paper Status: published

Published: October 5, 2021

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