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Research Paper

Design and Development of Gas detection alert with SMS using Arduino

The idea behind our project is to give a solution by power cut the gas provision as soon as a gas leakage is perceived apart from activating the sounding alarm. In addition to this, the authorized person will receive a message informing him about the leakage.

Published by: Pooja Dnyaneshwar Lambatkar, Kajal Ravikant Chavan, Tejashwini Atmaram Salunkhe, Dipali Maruti Pachangane, Vaishnavi Sunil Mohite

Author: Pooja Dnyaneshwar Lambatkar

Paper ID: V7I4-1502

Paper Status: published

Published: July 24, 2021

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Research Paper

GEOGRAPHICAL POSITIONAL AND PREDICTIVE ACCURACY OF A SHOVEL BUCKET

Excavators are increasingly being equipped with guiding and automation systems on modern building sites. Recent research has focused on comparing the bucket tip estimation results with the motion measuring method of the boom, stick, and bucket, as well as sensor selection. The method of measuring the cylinder length of the boom, stick, and bucket, as well as the method of measuring the cylinder length of the boom, stick, and bucket, were chosen for this study. The methods of measuring the cylinder length of the boom, stick, and bucket, as well as the method of directly measuring the boom, arm, and bucket, were chosen for this study. These methods are commonly used in guidance and automation systems. To apply the aforesaid methods to a commercial excavator, a low-cost sensor that can be mounted and detached in a modular manner was used. KS best fit predictive test has been conducted for predictive positioning .A default data sheet has been acquired. The entire model was prototyped and designed over a CAD model presented in Solid works.

Published by: Arko Banerjee, Sahil Yadav

Author: Arko Banerjee

Paper ID: V7I4-1515

Paper Status: published

Published: July 24, 2021

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Case Study

Robotic arm to pick and place

Robotics has emerged as a more important area in the current technological era. When compared to human labor, robots are more precise. This study presents a method for replicating a human arm by using a smartphone to operate it. A robotic arm is a mechanical device that has been programmed to carry out certain activities. This paper describes the creation of a robotic arm that can pick and place objects and is controlled through Bluetooth. The Android application serves as a transmitter, sending commands to the receiver to control the robotic arm’s movement. The Bluetooth module establishes a connection between the phone and the robotic arm. After linking the robotic arm with the smartphone’s Bluetooth, different moments of the robotic arm may be controlled with a single tap on the android application.

Published by: Sai Krishna Aitha, Y. Deepthi Reddy, P. Mani Kumar

Author: Sai Krishna Aitha

Paper ID: V7I4-1491

Paper Status: published

Published: July 24, 2021

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Research Paper

COVID-19 cases detection using deep neural networks with X-Ray images

Mysterious sickness with flu-like signs became first located in Wuhan town of China. This sickness became resulting from extreme acute respiration syndrome coronavirus 2 (SARSCoV-2). Covid-19 introduced havoc internationally affecting each public fitness and the economy globally. And inflicting the biggest worldwide recession because of the Great Depression. With the fundamental replica variety (R0) ranging from 2-2.5, it's far vital to become aware of the effective instances and deal with them. There is a demand for auxiliary diagnostic tools. The information amassed the usage of the radiology imaging strategies offers exceptional data about the COVID-19 virus. Radiological photographs and superior synthetic intelligence(AI) strategies can work withinside the choice of a brief analysis of the infection. In this we examine, an automated version for COVID-19 detection the usage of chest X-ray photographs is rendered. The rendered version is advanced to cater stable diagnostics for binary category and multi-class category. Our version gave a category accuracy of 98.08 percentage for binary classes and 87.02 percentage for multi-magnificence instances. In our investigation, the Darknet version was used as a classifier for a YOLO (you only look once) real-time object identification system. We are using VGG-sixteen architecture and added filtering on every layer. Our version can be engaged to support radiologists withinside the preliminary screening, and also can be hired through cloud to immediately ​screen patients.

Published by: Dr. S. Usha, Anjali Rani, Aparna Singh, Khushi Mathur

Author: Dr. S. Usha

Paper ID: V7I4-1493

Paper Status: published

Published: July 24, 2021

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Research Paper

House Price Prediction using Machine Learning

Machine learning plays a major role in past years in image detection, spam reorganization, normal speech command, product recommendation, and medical diagnosis. Present machine learning algorithm helps in enhancing security alerts, ensuring public safety, and improve medical enhancements. Machine learning system also provides better customer service and safer automobile systems. Designing an effective machine learning model for the prediction of regression and classification problems is a tedious endeavor. Significant time and expertise are needed to customize the model for a specific problem. A significant way to reduce the complicated design is by using Automated Machine Learning (AML) that can intelligently optimize the best pipeline suitable for a problem or dataset. This study utilizes machine learning algorithms as a research method that develops housing price-prediction models. In that point, a housing cost prediction model to support a house vendor or a real estate agent for better information based on the valuation of the house is recommended.

Published by: Mayur Manohar Patil, Bhushan Ramkrushna Upasani, Anup Sanjay Patil, Janhavi Kailas Chaudhari, Priti R. Sharma

Author: Mayur Manohar Patil

Paper ID: V7I4-1498

Paper Status: published

Published: July 24, 2021

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Research Paper

Campus Buddy

Every institute needs a place where everyone of their institute can communicate with each other so that while sharing some important information/data no one should be left behind. Thus, Making a web application and stand-alone application which can be used by every member of that education institute to get updated about institute activity and can share his/her opinion if required. Thus, binding everyone under one platform gives institute more boost and coordination among its members. Our Automation is accomplished through the medium of a Website and smart phone application. The front end of this system is built with Bootstrap. Bootstrap is the most popular HTML, CSS and JS framework which scales the website and application with a single code base, from phones to tablets to desktops with CSS media queries. The back end of this system is built with firebase. Fast, flexible and pragmatic, JAVA SCRIPT is a server scripting language that empowers some of the most popular websites. FIREBASE is the most popular database system used with JavaScript for storing information categorically. The whole project is also featured with the firebase services such as authentication, database, storage, hosting , messaging, etc.

Published by: Biswajit Sahoo, Bhagat Singh, Mishra Anupam Mukundkumar, Atul Singh, Abhijit Das

Author: Biswajit Sahoo

Paper ID: V7I4-1506

Paper Status: published

Published: July 24, 2021

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