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Research Paper

Attitudes of Teachers Teaching Mathematics at Primary Level towards Activity Based Approach

This article focuses on the Attitudes of Teachers Teaching Mathematics at Primary Level towards Activity Based Approach. This paper mainly concentrated on teachers who handling mathematics at primary level towards Providing Learning Activities, Promoting Learning by doing, Developing Individual, Group and whole class work, Recognizing Individual Differences, Using the Local Environment , Creating and Interesting Class room were examined. Data were collected through a survey. The instrument consists of 91 statements deemed appropriate to know the perceptions of teachers. These statements were grouped by six functional areas. The sample of 80 respondents was considered statistically adequate and reliable for all analytical purposes

Published by: Tentu Sridevi, Dr. D. Nagarajakumari

Author: Tentu Sridevi

Paper ID: V8I3-1192

Paper Status: published

Published: May 9, 2022

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Review Paper

Analysis of Hodgkin Huxley neuron model using LTspice and MATLAB

Neuromorphic engineering popularly called neuromorphic computing is a study used to represent analog, digital, and software system-based artificial neurons that replicate the behavior of biological neurons in terms of perception and motor control. In this paper, first, we are going to study the mathematical model of neurons, understanding the Hodgkin Huxley equation to represent the biological neuron and based on this we have simulated the basic pulse-type hardware neuron model on LTSpice using Transistors, resistances, capacitances, and externally injected input stimulus current. We have also analyzed the Hodgkin Huxley neuron using MATLAB to understand and explore the basic features of a biological neuron-like its beating nature, action potential, gating variables, and conductance of ions in the HH equation.

Published by: Mihir Kumar Jha, Mitul Kumar Choudhary, Kushal Viraj

Author: Mihir Kumar Jha

Paper ID: V8I3-1180

Paper Status: published

Published: May 9, 2022

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Research Paper

Petrol accuracy system using cloud computing

In this project, we fabricated an IoT chip to monitor the accuracy of fuel on both heavy and light vehicles. The system consists of parts like a liquid flow sensor, bug convertor, and node MCU 8266 This system can be used in industries to find the loss of fuel in heavy and light vehicles and it can also locate the exact location of that vehicles. We use node MCU IOT chip to monitor the fuel accuracy of the vehicles where we coded a program by using C language in Arduino and dump the code in the chip and that chip is connected. We use node MCU as a modern tool used in a different way, we create a web page that uses cloud computing technology to monitor the system. We learned about the fuel tank and fuel flow system by using this system we can reduce fuel theft in heavy vehicles as well as we can locate the exact location of the vehicles. We have designed a new tank cap to fix the system by which we can get an accurate fuel level. We have analysis about the fuel tank system from the mechanical workshop and node MCU through the internet. We use a bug convertor and node MCU as a modern tool. It is useful for all common people to protect their vehicles from theft. This project can be helpful for all lite and heavy vehicle owners.

Published by: Vinoth Kumar S., Arun Karthick P., Guru Prasath A., Karthick Raja G., Manoj Kumar S.

Author: Vinoth Kumar S.

Paper ID: V8I3-1159

Paper Status: published

Published: May 9, 2022

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Research Paper

The mensuration calculator

The focus of this project is web development and this Web project (Mensuration Calculator) is done with the help of Web Programming Languages such as HTML, CSS, and JavaScript. The purpose of The Mensuration Calculator (Web Project) is to raise awareness about Educational Technology. The main goal is to reduce the stress of a student who feels troubled about Mensuration math Prices. and the second thing we should reach out to most students read about Mensuration Calculation on our website. Our website is easy to use and can be missed by everyone. Our website has registration but does not any form of payment (fees)

Published by: Aniruddh Chaturvedi, Tejus Shukla, Pulkit Mishra, Aman Gupta, Nishant Kumar Singh

Author: Aniruddh Chaturvedi

Paper ID: V8I3-1183

Paper Status: published

Published: May 6, 2022

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Review Paper

Review of COVID19 diagnosis using Artificial Intelligence

For the last two years, the entire world is facing multiple COVID 19 waves. The disease spreads due to Novel Corona Virus 2019 and that’s why the name of the disease is COVID19. The virus is highly infectious and spreads easily. The disease spread throughout the entire world and now we are facing the first pandemic of the 21st century. In this paper, we are suggesting a non-invasive method which can be used easily by anyone to check whether they are having COVID19 or not. We are using a trained AI model to identify the input coughing audio file of a subject to diagnose whether they have been affected by COVID or not. As the incubation period of the virus is nearly 2 weeks, we need to take it into consideration while performing the testing.

Published by: Vaibhav Dandage, Manjiri Karande

Author: Vaibhav Dandage

Paper ID: V8I3-1187

Paper Status: published

Published: May 6, 2022

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Research Paper

Automation of WhatsApp using Python Selenium

Chatbots, or conversational interfaces as they are also known, present a new way for individuals to interact with computer systems. Traditionally, to get a question answered by a software program involved using a search engine, or filling out a form. A chatbot allows a user to simply ask questions in the same manner that they would address a human. The most well known chatbots currently are voice chatbots: Alexa and Siri. However, chatbots are currently being adopted at a high rate on computer chat platforms

Published by: Jainam Shastri, Prishita Sinha, Vedang Shinde, Dr. Nilakshi Jain, Swati Gajbhiye

Author: Jainam Shastri

Paper ID: V8I3-1176

Paper Status: published

Published: May 6, 2022

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