Call for Papers

Abstract: Harmonics badly influence the power quality of electric network, the active power filter (APF) are widely used for effectively filter out all harmonics where filtering is not effected by system parameters. In the recent development, with an objective to reduce inverter capacity, the Series Hybrid Active Power Filter (SHAPF) has been taken into account increasingly. This paper presents a complete design of SHAPF working with control strategy based on p-q theory, very popularly used in reference generation. The practical realization of Shunt Passive Filter, PWM Inverter, Switching ripple filter and control method are discussed in detail. The validity of the proposed scheme is verified by the simulation study. In simulation study applications of SHAPF for harmonic elimination is presented.

Keywords: Active filters, SHAPF, p-q theory

Download PDF

Abstract

SPOC: A SECURE AND PRIVACY-PRESERVING OPPOTUNISTIC COMPUTING FRAMEWORK USING BLOCKCHAIN TECHNOLOGY

Sheethal M S, K M Sowmyashree

DOI: 10.17148/IJIREEICE.2024.12802

Abstract: Secure data sharing in the cloud can be a difficult challenge. There are lots of risks with keeping sensitive info in one place. But hey, blockchain technology seems like a really cool answer! It can make data safer, more reliable, and super clear in cloud systems. In this study, we’re suggesting a new way to share data safely in the cloud using blockchain. What’s interesting about blockchain is it’s decentralized & unchangeable. This means we can create records of data transactions that can't be tampered with. This builds trust and makes everyone accountable. We also use smart contracts to set who can see what, making sure only the right people get access while keeping private and confidential. By mixing blockchain with cloud computing, we create a strong clear setup for sharing data. This helps to reduce the chances of someone accessing the data without permission or messing with it. In experiments, we show that our approach works well for secure and trackable data sharing in cloud environments. Our results point to how blockchain can really boost data security and privacy in these systems. This could lead us toward better, more trustworthy ways to share data.

Keywords: Authentication, data encryption, secure communication, security, Blockchain Technology.

Download PDF

Abstract

IoT Based Smart Irrigation Monitoring and Controlling System

Deepika N, Meghana B S

DOI: 10.17148/IJIREEICE.2024.12803

Abstract: Internet of Things (IoT) is an interconnection of devices that can used to transfer information over the internet and to control operations. In many rural areas, electricity supply can be unpredictable, often being available only during the night time. This makes difficult for farmers to manage irrigation, as they need to turn on water pumps at night. Operating water pumps at night poses risks. Farmers may encounter wild animals or other dangers while working in their fields during night hours. There have been chances where farm fields have caught fire, leading to significant crop loss. The lack of real-time communication is also major reason to this problems. Farmers often lack the means to communicate effectively with their fields, especially when issues like power supply, wild animals, or fires arise.

Keywords: Internet of Things (IoT), Soil Moisture Sensor, Water Level monitoring, Fire detection, Animal detection.

Download PDF

Abstract

SPOC: PILL DISPENSER WITH TACHYCARDIA DETECTION

Monika G, Dr.M.N.Veena

DOI: 10.17148/IJIREEICE.2024.12804

Abstract: The Pill Dispenser with Tachycardia Detection is a ground breaking project that tackles the critical issue of medication non-adherence among individuals managing chronic conditions. By harnessing the power of Arduino-based technology, this innovative system seamlessly integrates LED, buzzer, real-time clock (RTC), and advanced health monitoring sensors to provide personalized medication reminders and track vital health parameters in real-time. The system's core objective is to ensure that users adhere to their prescribed medication schedules, thereby mitigating the risk of complications and improving overall health outcomes. Moreover, the incorporation of health monitoring sensors enables the detection of abnormal heart rates and blood oxygen levels, triggering alerts and enabling timely interventions. This comprehensive solution addresses the complex challenge of medication management, empowering individuals to take control of their health and wellbeing. By streamlining medication adherence and providing real-time health monitoring, this project has the potential to revolutionize the way we manage chronic conditions, enhancing the quality of life for countless individuals. The significance of this project lies in its ability to bridge the gap between medication schedules and health outcomes, providing a vital safety net for those who need it most. By leveraging cutting-edge technology, this project paves the way for a future where medication management is effortless, efficient

Keywords: 1. Pill Dispenser, Tachycardia Detection, Arduino-based technology, Medication non-adherence, Chronic conditions, Personalized medication reminders.

Download PDF

Abstract

“GRID STABILITY DUE TO THE PENETRATION OF SOLAR ELECTRONS BASED ON POWER AT POWER PLANTS”

GUNASEKARAN.N, ARULKUMAR.C

DOI: 10.17148/IJIREEICE.2024.12805

Abstract: It is common knowledge that emissions from power plants pose a threat to global warming. Because it damages the brain system, mercury contamination from thermal power plants is extremely harmful to human health. As a result of these unsettling realities, developed nations are now shifting their attention to renewable energy sources in order to provide sustainable, emission-free power. We are far away from Significantly different from typical generation properties, high PV dispersion levels can occupy both the steady state and transient stability of the systems. This generation is seen as being largely conservative. Replaced with increased PV attribute in cases of high PV generation.

Keywords: Integration of Grid, PV Cells, PV Module, Array, Boost Converter, Fuzzy Logic, Harmonics Analysis.

Download PDF

Abstract

Study on Matrix Rings and Modulus

Asha Sarshwathi. B, Upase. Rajashekhar

DOI: 10.17148/IJIREEICE.2024.12806

Abstract: Matrix rings and modules are used in various areas of mathematics and physics, such as representation theory, algebraic geometry, and quantum mechanics. They provide a powerful framework for studying linear transformations and their properties, as well as for solving systems of linear equations and studying the structure of vector spaces.

Download PDF

Abstract

On Left Permitivity over a Matrix Ring’s and Module’s

Asha Saraswathi. B, Upase Rajashekhar

DOI: 10.17148/IJIREEICE.2024.12807

Abstract: Aim of this paper a ring R be an associative ring with identity and all modules are unitary nR and ( )J R are denotes the matrix rings and Jacobson radical and the singular left ideal of R, also  be maximal left ideal of R , if R is left primitive, )0(e is idempotent in R then eRe is left primitive.

2020 AMS Subject Classification: 16S10

Keywords: R matrix ring,, nR finite matrix ring,.  be maximal left ideal, ( )J R Jacobson radical and eRe is left primitive.

Download PDF

Abstract

COMPARISON OF LUNG CAPACITIES OF FOOTBALLERS AND SWIMMERS

Paras Yadav, Sinku Kumar Singh

DOI: 10.17148/IJIREEICE.2024.12808

Abstract: The primary objective of the study was to compare the lung capacities between Swimmers and football players. The data was collected through respondents in the form of different descriptive tests. Total 200 players ( 100 Swimmers and 100 football players) selected for present study and their age ranged from 18 to 25 years. vital capacity, Respiratory rate, Maximum expiratory pressure, Maximum inspiratory pressure, Breath Holding Capacity were considered as a lung capacity and compared with Swimmers and football players. The results of the study show that insignificant differences were found in Vital Capacity and respiratory rate between footballers and swimmers. The results of the study show that significant differences were found in Maximum expiratory pressure between footballers and swimmers. The finding of the study indicates that footballers ware to found have lower Maximum inspiratory pressure as compared to swimmers. The results of the study show that insignificant differences were found in Breath holding capacity (After Exhalation) between footballers and swimmers.

Keywords: Vital capacity, Respiratory rate, Maximum expiratory pressure , Maximum inspiratory pressure

Download PDF

Abstract

FOREST FIRE DETECTION USING CONVOLUTIONAL NEURAL NETWORK

Varun Nayaka. M, Ragavendra G.N

DOI: 10.17148/IJIREEICE.2024.12809

Abstract: Forest fires are a matter of concern because they cause extensive damage to environment, property and human life. Hence, it is crucial to detect the forest fire at an earlier stage. This can help in saving flora and fauna of the region along with the resources. Also, it may help to control the spread of fire at initial phase. The task of monitoring the forests is difficult because of the vast territory and dense forest. Detection of forest fire should be fast and accurate as they may cause damage and destruction at a large scale. The forest fire has become a threat to not only to the forest wealth but also flora and fauna and ecology of the environment of the region. The main cause of forest fires can be categorized under natural and man-made classes. High atmospheric temperature, lightening and dryness (low humidity) offer positive environment for a fire to start which are the natural causes for forest fire.

Download PDF

Abstract

DEEP LEARNING BASED WEED DETECTION IN AGRICULTURE

Manoj.M, Chaithra U.C

DOI: 10.17148/IJIREEICE.2024.12810

Abstract: In the context of agriculture, a weed is any plant that grows where it is not wanted and competes with cultivated plants for nutrients, water, and sunlight. Weeds can pose significant challenges to crop cultivation by reducing yields, interfering with harvest operations, and increasing production costs. They can also harbor pests and diseases, further impacting crop health and productivity. Controlling weeds is an essential aspect of modern agriculture, and various strategies, including mechanical cultivation, chemical herbicides, crop rotation, and mulching, are employed to manage weed populations and minimize their impact on crop production.

Traditional methods of weed identification in agriculture, relying on visual inspection by farmers, are time-consuming and prone to errors due to the vast diversity of weed species. This project proposes an approach to weed identification utilizing deep learning and image processing techniques.

Download PDF

Abstract

IMPACTS OF PRANAYAMA AND MEDIATION PROGRAM ON PEAK EXPIRATORY FLOW RATE OF FEMALE COLLEGIATE STUDENTS

Kejal Shailesh Bhatt

DOI: 10.17148/IJIREEICE.2024.12811

Abstract:

Introduction Pranayama helps in expelling stale air from the lungs and increasing breathing efficiency. Pranayama is the art of lengthening and controlling the breath which helps to bring conscious awareness to breathing and reshape breathing habits and patterns.

Objective The objective of the study was Impacts of Yogic Practices Program on Peak expiratory flow rate of Female collegiate students .

Methods The 45 female students selected for the present study were divided into three equal groups called, Experimental group I ( Meditation Group), experimental II (Pranayama group) and Control group, consisting of 15 Female students in each group. They were the students of graduate Course and their age ranged from 18 to 25 years during the academic year 2016-17. The entire sample were directed to assemble in a multipurpose hall Padmpani College of Physical education to seek their willingness, to act as subjects.

Training Program Pranayama and meditation programme was planned for 12 weeks, 5 days a week and 60 minutes a day. The investigator explained to them the purpose, nature, importance of the experiment and the procedure to be employed to collect their information . Further the role of the subjects during the experimentation and the testing procedure were also explained to them in detail.

Results Statistically significant difference of post-test Peak expiratory flow rate was found between meditation group and pranayama group, the pranayama group was more significantly increase the Peak expiratory flow rate as compare than meditation group

Conclusions Pranayama was more effective to increase Peak expiratory flow rate as compare to their counterparts.

Keywords: Pranayama , Meditation, PEFR, Female,

Download PDF

Abstract

CYBER ASSUALT PREVENTION

Namratha S, Raghavendra G N

DOI: 10.17148/IJIREEICE.2024.12812

Abstract: In the rapidly evolving digital landscape, cyber security has become increasingly challenging due to the proliferation of connected devices and the Internet of Things (IoT). Traditional cyber security measures often rely on static algorithms, which are insufficient to counter the dynamic nature of modern cyber threats. This paper presents a machine learning-based approach to enhance cyber security by automating the detection of malicious URLs and files in connected USB devices. The proposed system processes data collected from online public sources, preprocesses it, and trains an ML model to classify inputs as malicious or legitimate. The system's performance is evaluated through rigorous testing, demonstrating its effectiveness in real-world scenarios. The findings suggest that integrating AI into cyber security can significantly improve detection accuracy and reduce reliance on manual interventions.

Download PDF

Abstract

A CNN- POWERED TRAFFIC SIGN DETECTION AND VOICE ALERTING SOLUTION

Dravini.P, Parimal Kumar K.R

DOI: 10.17148/IJIREEICE.2024.12813

Abstract: Traffic signs that appear on the road are an important part of our lives while driving. They provide basic data to road customers. Traffic sign detection plays a crucial role in intelligent transportation systems to enhance road safety and assist drivers in adhering to traffic regulations. Negligence in viewing and interpreting traffic signboards is a major cause of road accidents. In this project, we propose a system for traffic sign detection using Convolutional Neural Network (CNN). The system leverages the power of deep learning and image processing techniques to accurately detect traffic signs.

Download PDF

Abstract

Risk Management Models for U.S. Investment Portfolios in a Volatile Global Economy

Joel Adetokunbo, Olakunle Sobowale

DOI: 10.17148/IJIREEICE.2024.12814

Abstract: The increasingly complex and interconnected nature of the global economy have greatly increased the level of volatility and uncertainty faced by investment portfolios in the U.S. This study thus considers several risk management approaches in mitigating losses on portfolios during times of economic turbulence. The key models considered are Value at Risk (VaR), Conditional VaR, GARCH-type volatility models, Multi-asset risk modeling, and Scenario-based stress testing. Emphasis is placed on the need for integration of a set of both quantitative and qualitative models that account for market, credit, liquidity, and currency risks. The results of the study have revealed that portfolios that use diversified models actually hold up better when faced with global shocks as compared to conventional strategies that may mindlessly stick to one model. The study also highlighted the fact that adaptive decision-making, together with continuous monitoring, should be considered in the face of ever-evolving markets. This paper attempts to bring forth some answers to the question of which risk management framework might best stabilize portfolios and foster subsequent decision- making in the face of perpetual global volatility.

Download PDF