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Research Paper

Image classification of human action recognition using transfer learning in PyTorch

Over the years, deep learning models have been applied to human action recognition (HAR). due to the enormous amount of labeled data needed to train deep learning models, there has been a significant delay in the absolute development of these models. Data collection in sectors like HAR is challenging, and human labeling is expensive and time-consuming. The current approaches mainly rely on manual data gathering and accurate data labeling, which is carried out by human administration. This frequently leads to a slow and prone to human bias labeling data collection method. To solve these issues, we offered a novel approach to the current data collection techniques [1]. It is generally used that (CNN) is among machine learning models. Since Yann Lecun created this context in 1988, image identification has greatly improved. Transfer learning in image classification has simplified the process of training new models from the beginning and has reduced the number of data points that need to be processed, it was used in this project to classify human actions.

Published by: Amos Oyetoro

Author: Amos Oyetoro

Paper ID: V9I2-1142

Paper Status: published

Published: April 15, 2023

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Research Paper

Study on financial literacy and its effects on investment decisions using the Likert scale

Many people seek to educate themselves financially with the goal of saving money and taking advantage of financial products such as easy access to credit, profits gained in favorable circumstances, planning for retirement, and the ease of organizing property or land purchases, among other things. This goal is usually not met or only partly met due to a lack of financial literacy. As a result, we decided to conduct a study into how financially literate the Indian people are and whether financial literacy has anything to do with a person's financial decisions. The purpose of the study was to determine how financial education, financial behavior, financial attitude, and financial awareness affect investment decisions among the residents of Mumbai, India. This study was carried out through sampling, and structured questionnaires were used to acquire primary information.

Published by: Shlok Garodia, Ridhi Saraf, Rishi Kansal, Riya Gupta, Shreya Gupta

Author: Shlok Garodia

Paper ID: V9I2-1179

Paper Status: published

Published: April 15, 2023

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Research Paper

An Insight into the Sri Lankan economic crises

Due to years of economic mismanagement, poor administration, and bad policy decisions, Sri Lanka is presently going through one of its most crucial periods in history. Outside forces including the COVID-19 epidemic and Russia's invasion of Ukraine have also exacerbated the nation's issues, leading to its worst-ever crisis in 2022. Now, Sri Lanka is dealing with a number of issues, such as food insecurity, jeopardised livelihoods, and growing safety concerns. Everyone from all walks of life have been affected by the devastation caused by this catastrophe, but the poorest and most defenceless groups have been impacted the hardest. Sri Lanka routinely experiences natural disasters brought on by climate change, which exacerbates the already precarious position. These problems have broad repercussions, especially for weaker households and communities that suffer disproportionately from the current crisis. To solve these issues, immediate action must be made to guarantee enough food supply, stabilise markets, and assist impacted people.

Published by: Nihar Gandhi, Shulmit Madhav

Author: Nihar Gandhi

Paper ID: V9I2-1180

Paper Status: published

Published: April 15, 2023

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Research Paper

Design of low power single precision floating point multiplier

The floating-point multiplier is designed to provide high precision and low power for scientific simulations, engineering computations, and financial modeling applications. This paper explains a single precision floating point multiplier architecture using a Vedic multiplier. It takes two single precision floating point numbers as input and produces a single precision hovering point number as output. The proposed architecture uses a pipelined approach to increase the speed of the multiplier and to reduce the power and delay. The pipeline architecture allows multiple operations to be performed simultaneously, resulting in a faster multiplication operation. The proposed architecture generates product mantissa by use of a Vedic multiplier with a carry-save adder using a Multiplexer to reduce the power of the multiplier. The proposed architecture is compared with array multiplier-based single precision floating point multiplier and performance measures such as power and delay. The architecture will be performed in Xilinx Vivado 2016.4 software by selecting the ZED board.

Published by: A. V. Mutyalamma, Dr. G. Srinivasa Rao, K. Krishnaveni, S. Sivanandini, A . Dharani, N. Swathi Vijaya Lakshmi

Author: A. V. Mutyalamma

Paper ID: V9I2-1183

Paper Status: published

Published: April 15, 2023

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Research Paper

DAR – DEFENCE ADVANCE ROVER

A Rover is an IOT-based robot that is basically designed to detect Landmines, Smoke, Fire, Alignment, Obstacles, and Radar to detect Movement. In this research we prepare a Rover as a prototype of a multi-functional robot and the purpose of it is to go to dangerous areas like collapsed places, and areas attacked by terrorists to collect every possible data of the situation and send it via wireless communication system (Remotely), as well as manually for the further actions. The main phenomenon of this Rover is to help the army by providing various information which usually is difficult and risky for a person to collect and send to the control center. The whole system operates wirelessly and sends each and every piece of data to the control center through signals, and shows live video footage directly to the control center, even if the camera is damaged the remaining sensors keep providing the data.

Published by: Kaushik Wagh R., Sagar Katekhaye, Holachi Vaishnavi, Ayush kumar, Aman Kalavadia, MK Jayanthi Kannan

Author: Kaushik Wagh R.

Paper ID: V9I2-1178

Paper Status: published

Published: April 12, 2023

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Research Paper

Supply chain analytics on inventory management on small firms across Hyderabad

Small firms are mostly into retail operations in the very first stage of development. Inventory management describes the way resources are handled in the production process. Inventory management is a part of the supply chain which involves a sequence of activities starting from the procurement of raw materials from suppliers and ending with the distribution of products to the end customers. As inventory management is a subset of the supply chain, efficient management of inventory reduces the time taken for the movement of materials for operations. A study on Supply Chain Analytics on Inventory Management on Small Firms across Hyderabad. Efficient implementation of inventory management with respect to the supply chain helps organizations reduce the cost of operations and gain a competitive advantage in the industry

Published by: Dr. Aravinda Reddy M. N.

Author: Dr. Aravinda Reddy M. N.

Paper ID: V9I2-1177

Paper Status: published

Published: April 12, 2023

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