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Research Paper

Development of full custom realization of 2nd order decimator for arithmetic logic unit

This paper introduces Full custom and RTL implementation of a Decimated audio range low pass filter has been implemented on programmable logic devices (FPGA/PROM/CPLD) as well as layout compatible to 1.2-µm n-well CMOS process for arithmetic circuit. The ADC can be operated with an oversampling clock frequency of up to 512 KHz & down sampling clock frequency of up to 8 KHz. An existing clock divider circuit has been used which divide the oversampling clock frequency by decimated factor 64(second-order).

Published by: Dr. Subhash Kumar Sharma, Dr. Shri Prakash Dubey

Author: Dr. Subhash Kumar Sharma

Paper ID: V7I3-1969

Paper Status: published

Published: June 23, 2021

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Review Paper

Stock Forecasting and Analysis using LSTM and Prophet

Trading is tough. Part-time folks trading from their home are up against professionals. The professionals are really great at taking the money. Where there is potential reward, there is potential risk. The results equity curve might only show the reward side of the equation, but risk is always there. So it is a wise idea to implement Artificial intelligence and Machine learning technologies into this market which can disrupt the current scenario. In this study we use LSTM and PROPHET to predict the future stock prices. The forecast models are then compared to the actual data to measure their performance against each other. The result shows that Prophet generally outperforms LSTM.

Published by: Sidharth S., Sambhu S. S., Vishnu Jayakumar, Buddha Prabodh J. S.

Author: Sidharth S.

Paper ID: V7I3-1986

Paper Status: published

Published: June 22, 2021

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Research Paper

Rapid housing by using Gfrg panels

Glass Fiber Reinforced Gypsum (Gfrg) Wall Panel Is Made Essentially of Gypsum Plaster Reinforced With Glass Fiber. The Panels Are Hollow, In Conventional Building Brick Work Is Can Be Used To Load Bearing Walls And Gfrg Panels Can Be Used As Load Bearing Walls. They Are Light In Weight And Overall Cost Is Also Low As They Are Made From Recycled Industrial Waste Gypsum Which Is Obtained As a Byproduct From Various fertilizers Industries, Chopped Fibres Are The Main Filler Material Used Which Act As Reinforcement Instead Of Concrete To Reduce The Weight Of Brick. The Results Showed Promise, That The Gfrg Brick Was Efficient Than The Clay Brick. The Idea Of This Paper Is To Find A Use For This Waste Gypsum Into Something Useful.

Published by: Shreyas Shridhar Galagali

Author: Shreyas Shridhar Galagali

Paper ID: V7I3-2054

Paper Status: published

Published: June 22, 2021

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Research Paper

Mulberry leaf disease detection using YOLO

Many states in India have taken up sericulture as an important agro-industry with good results. The mulberry leaf is the most important economic component in sericulture since the quality and quantity of the leaf have a direct impact on the cocoon bearing. Leaf disease diagnosis and classification in mulberry plants can be useful to framers and researchers to identify and classify diseases. It is an interesting technique that aids in managing the pathogens within the fields automatically and effectively at a minimal cost. Many mulberry diseases usually have symptoms on the leaf during the early stages of infections. These can be easily analyzed and classified using images. This paper proposes a model for implementing mulberry infection detection using Convolution Neural Networks (CNN) and You Look Only Once (YOLO). The proposed model identifies and classifies mulberry leaf diseases effectively. The image is divided into several grids before the image processing. The speed and accuracy of detection and classification are relatively high.

Published by: Monalika Padma Reddy, Deeksha A.

Author: Monalika Padma Reddy

Paper ID: V7I3-2039

Paper Status: published

Published: June 22, 2021

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Review Paper

A critical review of the role of media and communication in social development and addressing issues surrounding scheduled castes/tribes

The media and communication are important tools for the development of people, particularly the marginalised and oppressed segments of society. India's scheduled castes/tribes are such marginalised communities that bear the brunt of the caste system, which is to blame for their backward social and economic status. The situation is exacerbated by the fact that they live in one of the country's most backward and impoverished regions, where development is lacking. This study looks at the role of the media in the development of the Scheduled Caste/Tribe community in India. As professional growth and social status are the indicators of development so these parameters are studied here. The main goal is to understand the various types of media and communication used by Scheduled Caste/Tribe people for occupational needs, as well as which of them is most effective for the purpose. This study also seeks to determine how effective media is in eliminating caste-related discrimination. The study employs an exploratory research design, and it is possible to conclude that media and communication play an important role in professional and social development.

Published by: Huzefa Mandasaurwala

Author: Huzefa Mandasaurwala

Paper ID: V7I3-1984

Paper Status: published

Published: June 22, 2021

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Research Paper

Heart Disease Prediction using Machine Learning Techniques

Thus preventing Heart diseases has become more than necessary. Good data-driven systems for predicting heart diseases can improve the entire research and prevention process, making sure that more people can live healthy lives. This is where Machine Learning comes into play. Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate. The project involved analysis of the heart disease patient dataset with proper data processing. Then, different models were trained and predictions are made with different algorithms KNN, Decision Tree, Random Forest, SVM, Logistic Regression, Adaboost, etc . Thus, this project presents a comparative study by analyzing the performance of different machine learning algorithms.

Published by: Hanumanth K., Pawan Sahu, Riya Gaur

Author: Hanumanth K.

Paper ID: V7I3-1971

Paper Status: published

Published: June 22, 2021

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