Journal of The Institution of Engineers (India): Series B

The Institution of Engineers (India) is the largest professional body of Engineers established in 1920 and was granted the Royal Charter in 1935. IEI ...

List of Papers (Total 66)

Studies on Mitigating Power Quality Issues Using PV: Transformerless Dynamic Voltage Restorer System with Modified Marine Predator Algorithm

Power quality issues are a serious concern due to integrating renewable energy sources into the power grid, often resulting in costly consequences like line disruptions or sensitive load interruptions. Therefore, having a steady voltage with acceptable quality is essential. Dynamic Voltage Restorers (DVR) is a promising solution for resolving power quality issues. Even in the...

Development of Smart Pill Expert System Based on IoT

An improved version of the smart pill expert system known as SPEC 2.0 is presented in this paper to give a knowledge of IoT in healthcare. At the designated moment, the system strives to accurately dispense the recommended dosage of medication. The user-friendly interface of SPEC 2.0 is one of its standout features since it makes it simple for people of all ages to utilize among...

Automated Freshwater Fish Species Classification using Deep CNN

Freshwater fish is considered a poor man’s protein supplement as they are easily available in lakes, rivers, natural ponds, paddy fields, beels, and fisheries. There are various freshwater fish species that resemble each other, making it difficult to classify them by their external appearance. Manual fish species identification always needs expertise and so, is erroneous...

Enhancing the Power Quality of Grid Connected Photovoltaic System during Fault Ride Through: A Comprehensive Overview

Mitigation of harmonics and enhancement of power quality (PQ) in grid connected solar photovoltaic (SPV) system during fault ride through (FRT) needs to concentrate in power system research area. A comprehensive overview of FRT capability enhancement considering study of various power quality issues associated with grid connected solar systems is done here. Mitigation and...

A Modified Artificial Neural Network (ANN)-Based Time Series Prediction of COVID-19 Cases from Multi-Country Data

The deadly Corona virus that first appeared in a seafood market in the Wuhan city of China in December 2019 has been causing global distress by claiming lives and collapsing economies. Given its serious nature, there is an urgent need to understand the virus’s future trajectory. The current study predicts the next day confirmed, death and recovery cases of COVID-19 pandemic for...

Analysis of Preventive Measures Against DDoS Attacks in Smart Grid

In recent times, the number of cyberattacks has escalated quickly and predominantly. There is no particular victim of this attack as it has outrageously tampered with all the domains in society. Cogitating this issue, the paper focuses on the cyberattacks on smart grids and endeavors some prevention techniques for the DDOS attacks. The researchers are amidst a paradigm shift, and...

Identification of Biclusters in Huntington’s Disease Dataset Using a New Variant of Grey Wolf Optimizer

Biclustering is a useful technique to identify subgroups of genes that have same type of expression characteristics with respect to some conditions in microarray gene expression data. This is a complex problem where meta-heuristic algorithms are more suitable to explore the large datasets for finding biclusters of optimal quality. In this paper, there is an attempt for the first...

Walk-Through MR World Approach for Students Using Mixed Reality

Knowledge is prodigious, and learning has no boundary. The curiosity of the one to learn, discover and invent decides the future of the world. Educational Institutions’ main objective is to provide qualitative knowledge to the students and supporting tools used for learning play a major role. The conventional education system is arduous to be used in the current situation of the...

Research on Community Grid Management Mode Based on System Database Processing

In the process of urbanization, living and working areas are increasing, and the population is also increasing, which makes community management more difficult and reduces the life quality of residents. In order to improve the quality of community management, this paper briefly introduced the concept of community grid management mode based on the system database and conducted a...

Prediction of Life Insurance Premium during Pre-and Post-Covid-19: A Higher-Order Neural Network Approach

The impact of Covid-19 drastically changed the economical, social, behavioral, and psychological aspects of human life. Just after the official announcement of this pandemic by the World Health Organization, the entire world has locked for several months. As people come across these unpredictable situations, insurance has emerged as one of the ways to financially protect...

Research on Hot Topic Recognition and Its Evolution Analysis Method Based on LDA

In recent years, the recognition of hot topics and the analysis of their evolution path in the frontier of a field have received widespread attention from the academic community. It can not only reveal the development trend of a certain field but also discover the evolution law of topic content in different development stages of the field. However, there are still some problems...

A Study on the Online-Offline and Blended Learning Methods

The education sector is witnessing a paradigm shift with the rapid and ongoing technological advancements. The online, offline, and blended modes of learning continue to evolve with time. The purpose of this survey is to collect students’ responses to understand their perspectives on the different modes of learning. The advantages, challenges, and requirements for conducting...

Episode of Dual Neural Genetic Firefly (DNGF) Transmission Key Generation in New Normal Mode of COVID-19 Second Wave Telepsychiatry

The volume of E-commerce transactions had accelerated on huge scale due to COVID-19. Telemedicine comes under the segment of E-commerce, where the patients can get their treatments from isolates. Patients’ information security is a basic challenge in this COVID-19 telemedicine segment. The majority of the non-obtrusive and non-emergency patients are encouraged and treated...

ElGamal Homomorphic Encryption-Based Privacy Preserving Association Rule Mining on Horizontally Partitioned Healthcare Data

In today’s world, life-threatening diseases have become a pre-eminent issue in healthcare due to the higher mortality rate. It is possible to lower this mortality rate by utilizing healthcare intelligence to detect diseases early. Patient’s medical data is stored in the EHR system, which is kept up to date by the healthcare provider. Data mining techniques like Association Rule...

Loss and Efficiency Analysis of BLDC Motor and Universal Motor by Mathematical Modelling in the Mixer Grinder

The typical mixer grinders are universal motor, which operates on alternating current supply because of the higher starting torque characteristics and easy speed control. The absence of brushes in the Brushless DC (BLDC) motor and noise reduction improves its life and makes it perfectly suited for mixer grinder. The mathematical modelling and experimental demonstration of a...

Hardware Schemes for Autonomous Navigation of Cooperative-type Multi-robot in Indoor Environment

This study proposes about the autonomous navigation of a multi-robot for transportation in indoor environments. This transportation is integrated with three foldings of VLSI architectures; they are 1) shortest optimal path planning 2) behavioral control between multi-robot with leadership swapping methods as per dynamic conditions and 3) obstacle avoidance by multi-robot. The...

Proposed Model for Context Topic Identification of English and Hindi News Article Through LDA Approach with NLP Technique

According to the survey, India has the world's second-largest newspaper market, with more than 100 K newspaper outlets, approx 240 million circulation, and 1300 million subscribers or readers. The topic modeling work is increasing day by day, and researchers have published multiple topic modeling papers and have implemented them in different areas like software engineering...

Forecasting of COVID 19 Cases in Karnataka State using Artificial Neural Network (ANN)

COVID-19 is a pandemic that has caused lot of deaths and infections in the last 2 months and is showing an increasing trend not only in the number of infections and deaths, but also in the recovery rate. Accurate prediction models are very much essential to make proper forecasts and take necessary actions. This study demonstrates the capability of Multilayer Perceptron (MLP), an...

COVID-19 Effect on Supply and Demand of Essential Commodities using Unsupervised Learning Method

The affliction caused by the COVID-19 Pandemic is diverse from other disasters seen so far. Supply chain industries are facing unique challenges in fulfilling the essential needs of the people. The objective of the paper is to analyze the supply and demand of essentials during pre-pandemic and post-pandemic lockdowns using machine learning algorithms. This helps for supply chain...

A Review on existing IoT Architecture and Communication Protocols used in Healthcare Monitoring System

Nowadays, due to modernization or advancement in the Internet of Things (IoT) especially in the Healthcare area, we want to take care of our elders with some monitoring equipment, and the Internet of Things can play a significant role in it. The motivation of writing this paper is to collect the information of various existing Internet of Things Architecture and Communication...