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2000 articles for “methods” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Effectiveness of Mobile Applications in Promoting Safety Communication Among Construction Workers
Abstract: Construction sites are inherently hazardous environments where effective safety communication is crucial for preventing accidents and injuries. With the widespread adoption of mobile devices, construction companies are exploring mobile applications as a tool to enhance safety communication among workers. This study employed a mixed-methods approach to evaluate the effectiveness of a custom-built mobile safety application at three different construction sites. Site A served as the control group, while Sites B …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Abstract- Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Health Monitoring System for Fault Identification on Centrifugal Pump Using ML
Abstract: Centrifugal pumps are crucial equipment widely used in various industries, and their reliable operation is essential for maintaining production and preventing costly downtimes. This paper proposes a comprehensive health monitoring system for centrifugal pumps that combines model-driven and data- driven approaches, leveraging artificial intelligence (AI) and machine learning (ML) techniques. The system incorporates demand prediction using artificial neural networks and fault diagnosis employing different ML classifiers, such as decision trees …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 2, 2024 · pp. 1–12 Read article
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Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Optimized Fault Current Prediction for DFIG-Based Wind Turbines Using Type-I Fuzzy Logic Controller
Abstract: The increasing integration of Doubly-Fed Induction Generator (DFIG)-based wind turbines into modern power grids requires robust fault detection and prediction mechanisms to ensure stable and reliable operation. However, accurately predicting fault currents in such systems is challenging due to the nonlinear dynamics involved. This study presents an optimized fault current prediction framework using a Type-I Fuzzy Logic Controller (FLC) to address these challenges. The proposed approach effectively models the uncertainties …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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Personalized Movie Recommendations: Leveraging Machine Learning to Enhance Viewer Experience
Abstract: The film industry has experienced a tremendous surge in content creation over the past few decades, leading to an overwhelming array of movies across various genres and languages. As a result, movie enthusiasts often find it challenging to discover films that align with their unique preferences and tastes. To address this issue, the application of machine learning techniques for movie recommendation has gained prominence. An introduction to the idea and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Data Compression in Backbone Network
Abstract: In the realm of modern computing and extensive data transmission, the efficient management of network resources is paramount. This paper introduces a novel approach, a data compression system meticulously designed backbone network. The proposed system aims to streamline data compression, significantly curbing network b and width demands, and thereby enhancing network performance. Tailored to the unique requisites and limitations of backbone network environments, the solution optimally balances compression ratios and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Structural Behavior and Fire Resistance of Shallow Steel-Concrete Composite Decks
Abstract: This study investigates the structural behavior and fire resistance of Shallow Steel-Beam-Concrete Composite (SSCC) decks, focusing on the influence of various Steel-Concrete (SC) bonding techniques. SSCC decks combine steel beams with concrete slabs, offering structural efficiency and durability under significant loads. The effectiveness of SC bonding methods is evaluated by comparing experimental results to Full Composite Action (FCA) simulations. Fire resistance in shallow floors, particularly SlimFlor systems, is analyzed using …
Published in International Journal of Composite Materials and Matrices · Vol. 10, Issue 2, 2024 Read article
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A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation
Abstract: Pay-per-use cloud computing offers scalable IT resources over the internet, making it a major paradigm in distributed computing. Because of its adaptability, it has been quickly adopted by various industries, which has accelerated the growth of data centers. In cloud computing, load balancing is essential for improving system performance, cutting down on execution times, and making the best use of available resources. This study investigates the effects of several load-balancing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Seamless Connectivity and Efficient Resource Allocation in IoT Forensics and Bio-inspired
Abstract: The convergence of cloud computing and the Internet of Things has reshaped many industries, enabling seamless device connectivity and resource allocation on a massive scale. This paper highlights the challenges bio-inspired Internet of Things networks and Internet of Things forensics pose while delving into the core components of achieving connectivity and resource provisioning within cloud-based Internet of Things environments. Different state-of-the-art technologies have been taken into account to enhance reliability …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 8–15 Read article
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CNN-Based Traffic Sign Recognition with Voice Alerts
Abstract: Traffic sign recognition is a crucial component of intelligent transportation systems, significantly enhancing road safety by aiding both autonomous and human drivers. This paper presents a convolutional neural network-based traffic sign recognition system integrated with voice alerts. Our approach utilizes a deep learning model trained on a comprehensive dataset of traffic signs to accurately identify various road signs in realtime. Upon recognition, the system issues corresponding voice alerts to inform …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–9 Read article
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Advancing Circular Economy in the Water Sector: A Comprehensive Review and Assessment
Abstract: ABSTRACT The unprecedented pace of urbanization and the rapid depletion of natural resources have prompted policymakers and industry leaders to transition from the traditional linear “take-make-use-dispose” model to a more sustainable and regenerative approach known as the Circular Economy (CE). The CE model emphasizes resource conservation through strategies that prioritize reducing, reusing, recycling, and recovering resources, aiming to minimize waste and extend the lifecycle of materials within economic systems. This …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 23–33 Read article
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Predictive Analytics in E-Learning: Enhancing Student Performance Through Machine Learning Models
Abstract: With the explosion of electronic devices and internet technologies in today’s world, the amount of data we store has grown massively. Data is simply information that has been organized in a way that makes it easy to share or work with. A potent technology that enables computers to learn from data without direct programming is machine learning, which we employ in our research. The focus of this study is on …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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Efficiency Improvements in Long-Distance Wireless Power Transmission
Abstract: The quest for efficient and flexible energy transfer has given rise to Wireless Power Transmission (WPT) technology, which allows the transmission of electrical energy from power source to consuming device deprived of physical connectors. This transformative technology has garnered significant responsiveness due to its possible applications across various domains, including consumer electronics, electric vehicles, medical devices, and industrial systems. With advancements in resonant inductive coupling, microwave transmission, and laser-based systems, …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 1, 2024 Read article
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Wireless Power Charging Technologies for Internet of Things (IoT) Applications: A Comprehensive Review
Abstract: The propagation of Internet of Things(IoT) devices has significantly transformed the technological landscape, prompting a reevaluation of power management strategies. Traditional power supply methods can be cumbersome, necessitating frequent battery replacements or inconvenient cord connections, which limit the versatility and deployment of IoT devices. This article explores the integration of wireless power charging technology into IoT ecosystems, examining its technical viability, practical applications, and potential to enhance the lifespans and …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 Read article
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Fungal-Mediated Synthesis of Silver Nanoparticles Using Fusarium Oxysporum and Their Antimicrobial Evaluation
Abstract: Nanotechnology has shown significant antimicrobial properties in the form of metal nanoparticles like silver, copper, and zinc. Silver nanoparticles (AgNPs) are biosynthesized from the fungus Fusarium oxysporum, isolated from infected ginger, which has antibacterial and antifungal properties. The synthesized AgNPs are reddish brown and have a maximum absorbance of 451 nm. The functional groups of AgNPs are investigated using FTIR analysis. SEM-EDX Shows Shape of Particle Spherical-Rod, Size from 6.13 …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Analyses of Polymer Nanocomposites Development in Biomedical Applications
Abstract: Polymer nanocomposites (PNCs) are known for being an effective method to impart materials with exceptional properties that cannot be achieved by the individual components on their own. Utilizing the interfaces between the two phases of nanoscale compounds with high specific surface areas is advantageous for creating composites that incorporate nanofillers. The primary difficulty with nanocomposites lies in managing the interfacial interactions between the two phases. Polymer nanocomposites have gained significant …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 23–38 Read article