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Alternatives to mitigate Corona

Coronavirus is most pandemic virus and it is challenging too for the scholars and scientists to discover its vaccine. Like every organism in nature struggling for survival, they evolve or mutate. Similarly, the coronavirus has changed its genome sequence to adapt to the new species. In fact, research has shown COVID-19 has mutated repeatedly in ways to boost its survival which results in more difficulties to discover its vaccine. We can’t hit the coronavirus directly and neither our immune system is capable enough to fight with it, but by killing the infected cells, we can kill the corona virus too.

Published by: Manjeet Singh, Lavina Pratap Bhambhani

Author: Manjeet Singh

Paper ID: V6I2-1463

Paper Status: published

Published: April 25, 2020

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Research Paper

ASIC implementation of smart home using VLSI design

In the upcoming new era, the need for improvement in technology and upgrades of existing devices has more priority. With such idea of upgrading the home automation system we have designed this model. In this model we used six sensors that is, temperature sensor (LM35), PIR motion sensor, smoke detection, water level sensor, garage sensor etc. For different purposes which ultimately leads to two major visions that is, (a) security (b) Comfort. In this model we have developed has highly improvements in both visions, like PIR motion sensor detects unusual intrusion in the home which helps to provide security. Here we used software tools Xilinx 14.4 to develop simulation results for each sensor. RTL schematic diagram is used to represent the pin level diagram. Therefore, to implant more features in home automation system and with high performance at low cost is our ultimate goal.

Published by: Syed Muqtar Nawaz, Sureddy Sravya, Mohammed Imran, C. Ramesh Kumar Reddy

Author: Syed Muqtar Nawaz

Paper ID: V6I2-1455

Paper Status: published

Published: April 25, 2020

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Research Paper

Prediction of heart diseases using Machine Learning algorithms

Heart-related diseases or cardiovascular diseases are the main reason for huge number of deaths in the world over last few decades in the developed as well as underdeveloped and developing countries. Early detection of cardiac diseases and continuous supervision of clinicians can reduce the mortality rate. However, accurate detection of heart diseases in all cases and consultation of a patient for 24 hours by a doctor is not available since it requires more wisdom, time and expertise. Machine learning techniques help health care professionals in the diagnosis of heart disease. This aims a better understanding and application of machine learning in the medical domain, an automated system in medical diagnosis would enhance medical efficiency and reduce costs. In order to decrease the number of deaths by heart diseases there have to be a quick and efficient detection technique, the use of multiple machine learning algorithms for heart disease, models based on supervised learning algorithms such as: Decision tree, Naïve Bayes, K-Nearest Neighbors, Random Forest, Logistic Regression, and then implement them to predict heart disease based on patients’ medical records. Find the accuracy of the models, Choose the best output with the highest accuracy. These machine learning algorithms and techniques have been applied to various medical data sets. The implementation of work is done on heart disease data set from the University of California Irvine (UCI) machine learning repository, it contains several instances and attributes. By using the data set we test on different machine learning techniques and predict the best model which is computationally efficient as well as accurate for the prediction of heart disease.

Published by: N. Vineeth, V.N.V.L.S. Swathi, C. Vishal Sai, V. Vishal

Author: N. Vineeth

Paper ID: V6I2-1453

Paper Status: published

Published: April 25, 2020

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Research Paper

Effect of rice husk ash on partial replacement of cement in concrete

Cement is the most expensive constituents of the concrete. Over 5% of global CO2 emission is attributed to cement production. In this work alternative source for cement as rice husk ash is used. A comparative study is carried on properties of concrete when cement is partially replaced with rice husk ash. Percentage replacement of cement with RHA is varied as from 10%, 15% and 20% with silica fumes kept as constant at 10%. Silica fumes are very reactive pozzolan and are considered having higher durability and strength inhibiting properties which may contribute to attaining the required characteristic properties of concrete. The compressive strength is found at 7 and 28 days. The strength is then compared to standard concrete and the optimum percentage of replacement of RHA is found out.

Published by: Ronak Devasia, Aniket Auti, Prasad Shirgaonkar, Ashutosh Surve

Author: Ronak Devasia

Paper ID: V6I2-1383

Paper Status: published

Published: April 25, 2020

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Research Paper

Assurance of pollution using image fusion of differently exposed image using discrete Wavelet Transform

Image fusion implies the route toward combining the information from no less than two pictures into a single educational picture. The resulting consolidated picture contains a larger amount of information than the data pictures. We endeavored to entwine contrastingly revealed grayscale and shaded pictures using system for Discrete Wavelet Transform and besides two helpful pictures using Discreet Wavelet Transform. The objective of the mix of a picture taken during the day and photo of a same picture taken during the night is to procure a lone picture containing however much information as could be normal about that image for analysis. In this project, a novel DWT-type2 fluffy technique is proposed to intertwine two images (Morning and evening images). In this system, at first, the source pictures are broken down into low-level and strange state sub bunches by discrete wavelet change. As the second step, for fusion, Type-2 fluffy procedure is connected on a low-level sub band and normal fusion strategy is connected on the abnormal state sub groups with a specific end goal to improve the most conspicuous highlights exhibit in both the images captured during the day and night. At long last, the intertwined lowlevel sub band and abnormal state sub groups are reproduced to frame the last combined image utilizing backwards DWT.

Published by: Swastik Das

Author: Swastik Das

Paper ID: V6I2-1450

Paper Status: published

Published: April 23, 2020

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Research Paper

A handheld and convenient occlusal scanner

The idea to determine the alignment of the teeth and jaw placement. This entirely covers the examination of human teeth between the age of neonatal to adolescence where the majority of the teeth issues and problems occur. We know for a fact that humans up to the age of 8 have milk teeth that constantly get replaced so these issues can be diagnosed early and treated accordingly. So this device uses a piezoelectric sensor or pressure gauge to measure the pressure applied while biting. These parameters are analyzed and then fed to a microcontroller where appropriate techniques are adapted to give a detailed analysis and determine the intensity of the issue. This system uses an amalgam of electronics and the medical sector. This is a portable structure that can be implemented in a dentist’s workplace.

Published by: Varun Venkat, Gayathri V., John Felix A., Vinoth Kumar G.

Author: Varun Venkat

Paper ID: V6I2-1446

Paper Status: published

Published: April 23, 2020

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