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Research Paper

Plan and simulation of an ANFIS MPPT controller for Solar Power Application in MATLAB

In this paper we present a savvy control procedure for the MPP following of a photovoltaic (PV) framework utilizing versatile neuro-fluffy surmising framework (ANFIS) under factor sun oriented light conditions. For this a sunlight based photovoltaic module and a DC/DC Boost converter is created in MATLAB/SIMULINK climate. At first, MPPT regulators were planned utilizing Perturbation and Observation (P&O) techniques. Be that as it may, this traditional strategy can't adequately follow quickly changing occurrence sunlight-based illumination levels. Henceforth, a savvy MPPT regulator was planned utilizing ANFIS tool kit which draws a lot of energy and creates quick reaction under constantly changing working conditions. The PV module with proposed MPPT regulator was investigated in independent mode. The significant burden with PV framework is its questionable and discontinuous force yield which relies upon climate conditions. PV module alone can't supply solid capacity to the separated burden successfully. To anticipate the force provided to the heap under various working conditions affectability examination has been done for the PV framework with planned MPPT regulator.

Published by: Shiwani Singh, Dr. Pratibha Tiwari

Author: Shiwani Singh

Paper ID: V7I3-2115

Paper Status: published

Published: June 26, 2021

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Research Paper

Forest fire prediction using ML and AI

Forest fire forecasting is crucial for resource allocation, mitigation, and recovery. The risk of forest wildfires is rising all around the planet. Large wildfire frequency and area damaged have increased by more than four and six times in the last five decades, respectively. Oxygen, humidity, and temperature are all essential factors in wildfire risk evaluations. A new forest fire risk prediction method is described, which is based on Support Vector Machines, Logistic Regression, KNN, decision trees, and Random Forest. The findings show that forest fire danger can be predicted with reasonable accuracy. So, using machine learning techniques and algorithms such as Logistic Regression, KNN, SVC, Random Forest, and Decision Tree, we proposed a system to predict the percentage of fire occurrence based on various parameters such as temperature, humidity, and oxygen data entered by the user in the front end

Published by: Adithi M. Shrouthy, Syed Matheen Pasha, Yamini S. R. E., Navya Shree S., Lisha U.

Author: Adithi M. Shrouthy

Paper ID: V7I3-2136

Paper Status: published

Published: June 26, 2021

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Research Paper

Detection and Classification of Malicious Websites

Phishing is an attractive methodology that is used by the attackers to steal personal data from people. Phishing websites are fraudulent web pages used for cyber thefts. They use domain names, similar to that of an original website, send mail and direct messages to lure someone in sharing personal information. Although many new anti-phishing methods are out ,still these attackers innovate new methods to target these. Therefore there is an alarming need to develop new ways to protect people from phishing. The Project uses different models of comparison in classification of phishing websites for detection and prediction using different machine learning models. The main goal of the project is to make Machine Learning Algorithm for data input and prediction and classify URL’s that are malicious . Using python packages(Fastai,Scikit,pandas,Seaborn etc.) the dataset is converted into Distribution Plots and Confusion Matrix.

Published by: Karan Sawhney, Priya D.

Author: Karan Sawhney

Paper ID: V7I3-2143

Paper Status: published

Published: June 26, 2021

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Research Paper

Dynamic response of a single pile subjected to a follower load

The Dynamic Response of a single pile following Leipholz’s rod has been solved. The analysis attempts to provide the solution of the pile if the model of the system is taken to have a non-self-adjoint follower load under the influence of a heterogeneous Winkler soil model. The method of Laplace transform is used to deal with the non-conservative initial-boundary-value problems. In this paper, a close-form solution has been developed to deal with the concave singularity function of the soil subgrade modulus if the admissible function for the pile is satisfied when upset by a time-dependent lateral force. This research domain is still active as research engineers and mathematicians are engaged in developing a deeper understanding of dealing with singularity. The result obtained is compared with those given by static (finite element) analysis.

Published by: Vincent Ifeanyi Ike

Author: Vincent Ifeanyi Ike

Paper ID: V7I3-2139

Paper Status: published

Published: June 26, 2021

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Research Paper

QR based automatic damaged street light fault detection management system

The IoT (Internet of Things) is a promising technology that mainly concentrates on the interconnection of devices or components to one another and the people. Street lights are the basic service that is important for both rural and urban cities over the globe. As the world is moving towards automatics so the project proposed in this paper is based on automatic street lights, which will switch ON automatically when there is dark outside, if there are few lights not working, we can easily get their information by having a QR code scanner on each pole which people can scan and submit the issues which will be directly sent to the local area corporation making it flexible for people to use it easily. Finding the faulty street light automatically is become an important milestone by using this technology. Whereas in this proposed work using QR this light working status is easily captured with minimum manual interaction.

Published by: Jagrut Tawade, Ritik Yadav, Asheesh Yadav, Ritesh Tripathi, Manish Salvi

Author: Jagrut Tawade

Paper ID: V7I3-2128

Paper Status: published

Published: June 26, 2021

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Research Paper

Measuring heart rate using the pulse sensor

With plenty of new healthcare technology start-ups, Arduino alongside an Embedded System is rapidly revolutionizing the healthcare industry, during this project we'll find out how to design pulse measuring instruments using Pulse Sensor & Arduino. This paper describes how of measuring the heart rate through a fingertip and Arduino. The proposed approach consists of sensors that measure the heartbeat of an individual and display the readings in BPM on the serial monitor of Arduino IDE and visualizer.

Published by: Manav Seth, Vanshika Patel, Ankit Mishra, Shyam Gupta, Kashif Sheikh

Author: Manav Seth

Paper ID: V7I3-2126

Paper Status: published

Published: June 26, 2021

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