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Research Paper

Intrusion detection system

An intrusion Detection System (IDS) is defined as a device or software program that monitors network or system activities and detects if a dangerous activity is taking place. The rapid growth and use of the internet raise concerns about how to communicate and protect digital information securely. In today's world, hijackers use various forms of attack to obtain valuable information. Many intrusion detection techniques, methods, and algorithms help detect such multiple attacks. The main purpose of this paper is to provide a comprehensive study of the access, the types of access methods, the types of attacks, different tools and techniques, research needs, challenges, and ultimately the development of the IDS Research Tool Tool.

Published by: Rahul Kumar, Pradeep Kumar Mishra, Harsh Jha, Aman Raj, Nishat Fatima

Author: Rahul Kumar

Paper ID: V8I2-1250

Paper Status: published

Published: April 8, 2022

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Research Paper

An analysis of noise reduction for sputum smear microscopy images

Sputum smear microscopy is a primary tool used for the diagnosis of pulmonary TB diseases. Due to its accessibility, minimal bio-safety standards, and cost-effectiveness, the latter is the most preferred test in low- and middle-income countries [26]. De-noising is a fundamental challenge in microscopy image processing because the images are highly corrupted by salt and pepper noise while transmitting. This paper makes a survey on five methods that can be efficiently applied in de-noising the sputum smear microscopy image processing tasks. The five de-noising methods to publish the survey are namely LCD, GPPCM, IMF, ASWMF, and SAF-RGM. The effectiveness of this survey comes along with the metrics such as Peak Signal noise, Root Mean square Error, and the Mean Structure Similarity Index. Many methods for rebuilding spotless images from noisy versions have been proposed. Both the methodology and the outcomes of these methods are dissimilar. This assessment work presents a broad study on image de-noising and suggests a number of promising future research directions.

Published by: A. Amala Shiny, Dr. B. Sivagami

Author: A. Amala Shiny

Paper ID: V8I2-1242

Paper Status: published

Published: April 7, 2022

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Research Paper

Performance analysis of DC Micro-grid using distributed energy sources

The hunt for a replacement, safe and stable renewable energy supply junction rectifier to the thought of operational controls are designed to support the combination of wind and alternative energy among small grids. With the event of renewable energy like chemical element energy, renewable energy provides are a very important part of the DC microgrid. A mass model of renewable wind and solar energy generation forecast is planned to support the quantification of the operational reserve for day-ahead and period programing. Then, droop management for power electronic converters connected to battery storage is developed and tested. Compared with the present droop controls, it's distinguished therein that the droop curves are set as perform of the storage state-of-charge (SOC) and may become uneven. The difference of the slopes ensures that the ability output supports the terminal voltage whereas at an equivalent keeping the SOC within a firing range of desired operational reserve. This is often shown to take care of the equilibrium of the microgrid period offer and demand. The controls are enforced for the special case of a dc microgrid that's vertically integrated among a high-rise host building of a geographic area. Antecedently untapped wind and alternative energy are harvested on the roof and sides of a tower, thereby supporting delivery to electrical vehicles on the bottom. The microgrid vertically integrates with the host building while not making an outsized footprint.

Published by: Gitanjali D. Atwal, Dr. P. J. Shah

Author: Gitanjali D. Atwal

Paper ID: V8I2-1243

Paper Status: published

Published: April 7, 2022

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Review Paper

Pothole detection for accident prevention: A review

Potholes are a nuisance to society, especially to individuals who use public roads. The importance of road infrastructure for society is comparable to the importance of blood vessels in humans. Crevasse and gouge are the main factors that cause road accidents and damage to vehicles. They should be spotted and corrected before they become a hazard. Road conditions can thus be improved through the detection of potholes. It is the goal of engineers to continuously monitor and repair the roads to ensure that they are in good shape. Having objective and comprehensive data about the condition of the roadways is a promising method for achieving this objective. About two million kilometers of roads in India are surfaced with around one million kilometers being poorly constructed. The various problems that plague Indian roads are largely caused by the improper maintenance of the roadways. No matter where you go in India, you’ll find one or more roads with potholes. While Indians have learned to perfect their driving skills to compensate for disheveled roads, there are many accidents around the country. This paper compares various subjects such as YOLO, SSD, HOG, Neural network, Inception V3,2D LiDAR, CNN-DL, R-CNN, etc. for predicting well holes. This paper introduces the state of the art in well-known mining detection techniques that discuss a variety of methods and identify the best solutions for real-time implementation under extreme conditions and working conditions thereby ensuring human safety.

Published by: C. Sai Adarsh Varma, Chethan Kumar, Abhishek Sirdeshpande, Akshay B. R., Sowmiya Bharani B.

Author: C. Sai Adarsh Varma

Paper ID: V8I2-1233

Paper Status: published

Published: April 6, 2022

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Research Paper

Public sector banks in India need to be given autonomous status

Public Sector Banks have played a very important role in providing credit to Priority Sector, sectors in Rural India. Recent scams in Public Sector Banks and increasing NPAs have created a voice for the privatization of PSU Banks. This paper advocates autonomous status for PSU Banks and keeping control of the Government sector at least 50 % shareholding in such banks needed for meeting targeted lending to the priority sectors of the economy.

Published by: Dr. Ravikiran Ramanand Garje

Author: Dr. Ravikiran Ramanand Garje

Paper ID: V8I2-1240

Paper Status: published

Published: April 6, 2022

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Research Paper

IoT based monitoring system to detect covid-19 and other health issues using Arduino microcontroller

Covid-19 and its variant viruses have killed millions of human population, whereas still more numbers are being infected and admitted every day. As per records, severe infection causes Pneumonia associated with high pulse and breathing rates, and low blood oxygen. Pulse rate and blood oxygen level are two parameters that medical experts use to diagnose and measure Pneumonia and Bronchitis through sensors. Therefore, it has become a very important research direction to detect the pulse wave accurately, quickly, and conveniently. Those sensors are used to scan patients’ measurements which are widely available in developed countries. As their costs are prohibitively high for wide penetration in developing countries we developed and tested the performance of an Atmel ATmega 328P MCU and MAX30100 sensor kit-based pulse rate, blood oxygen monitor, and blood pressure. By using our project we can know whether the person is having danger of cardiac arrest, fever. The parameters here we measured are temperature, heartbeat, and pulse by using respective sensors. The data from the sensors are given to the Arduino Uno. This project aims at developing a system that gives pulse rate and SPO2 respectively. These sensors are interfaced with an Arduino microcontroller board. The value of saturation oxygen level, pulse rate, and blood pressure records will be uploaded to cloud software

Published by: S. Priyanka, D. Shanmugavel, Dr. D. Rajinigirinath

Author: S. Priyanka

Paper ID: V8I2-1234

Paper Status: published

Published: April 4, 2022

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