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411 articles for “power optimization”
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Advancements in Multiple-Input DC–DC Converters for Hybrid Renewable Energy Systems: Topologies, Control Strategies, and Applications
Abstract: Multiple-input DC to DC converters (MICs) are essential components in hybrid energy systems, enabling efficient management of diverse energy inputs from renewable sources such as solar photovoltaic (PV) panels and wind turbines. These converters facilitate the seamless integration of variable power outputs, addressing the intermittent nature of renewable energy through advanced power electronics. This paper provides a comprehensive review of the topologies, control strategies, and applications of MICs within renewable …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 10–17 Read article
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Organic Solar Cell: It’s future prospect
Abstract: Organic solar cells (OSCs) are emerging as a promising frontier in renewable energy technology, distinguished by their lightweight, flexible composition, cost-effective manufacturing processes, and potential for large-scale deployment. Unlike their silicon-based counterparts, which rely on inorganic materials, OSCs harness organic molecules or polymers to convert sunlight into electricity. Their adaptability in design and production is a key strength, facilitated by the ease with which organic materials can be synthesized and …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Electronic Resources of University Libraries: AI-Driven Management and Optimization
Abstract: In order to maximize accessibility, utilization, and efficiency, university libraries’ growing reliance on electronic resources (ER) has prompted the creation of sophisticated management techniques. The difficulty of handling enormous volumes of data has increased as educational institutions move from conventional physical collections to massive digital repositories. A key instrument in revolutionizing library operations, artificial intelligence (AI) offers creative ways to improve retrieval methods, manage digital resources more effectively, and customize …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 8–15 Read article
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Footstep Power Generation Using Piezoelectric Materials: A Renewable Approach for Smart Infrastructure
Abstract: The rapid depletion of fossil fuels and the increasing global demand for sustainable energy have necessitated the development of decentralized energy harvesting systems. This paper presents a comprehensive study on footstep-based power generation using piezoelectric materials as a viable renewable energy solution for smart infrastructure. The proposed system converts mechanical energy generated from human locomotion into electrical energy using optimized piezoelectric transducer arrays integrated beneath floor tiles. The study covers …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Design and Development of an Electromagnetic Propulsion Train
Abstract: The recent advancement of new transportation techniques led to the search for methods of propulsion that were superior to classical mechanical systems. Among these new moments, electromagnetic propulsion (EMP) has attracted attention because this technique allows for motion generation via electromagnetic force without using conventional wheel-based friction processing. The paper describes the conceptual design, principle of working and performance evaluation of a prototype model train to be propelled electromagnetically.The system, …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 19–24 Read article
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Hybrid Smart Parking System Enriched with IoT
Abstract: Urban zones demand progressive parking methods which emerged as a response to increasing requirements for efficient parking operations. Traditional parking operations run improperly thus creating both highway delays and fuel inefficiency and ecological degradation. And internet of things technology demonstrates the development of smart parking system that both grows IOT capacity and delivers real-time parking status announcement. ESP32 microcontrollers together with IR sensors process data through cloud storage to show …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 17–24 Read article
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History and Applications of Kalman Filter: A Review
Abstract: The Kalman filter is a powerful algorithm that is used to estimate the dynamic system states with noisy measurements and uncertain behaviors. It is an optimal estimator that minimizes the average squared error between the estimated states and the true states, given the noisy data and a model of the system. The recursive algorithm is highly effective in tracking and predicting the state of complex systems over time. Kalman filters …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 1, 2024 · pp. 14–23 Read article
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Dealing with Hardware of the Computers: An Analytical Study
Abstract: The evolution of computer hardware has been pivotal in shaping modern computing capabilities, impacting both personal and professional spheres. This study offers a thorough overview of essential hardware components, such as the central processing unit (CPU), memory, storage devices, motherboards, and input/output peripherals. It explores how advancements in hardware technology, such as the transition from mechanical hard drives to solid-state drives (SSD) and the development of multi-core processors, have enhanced …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 12–21 Read article
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AI-Powered Architectural Ideation: From Sketch to Script
Abstract: Artificial Intelligence (AI) is redefining the landscape of architectural education by altering how students conceptualize, design, and execute their projects. As emerging technologies continue to permeate architecture, AI holds a central role in shaping future architectural pedagogy. The integration of AI in architectural studies has introduced new methodologies, facilitating complex design processes, sustainability assessments, and improved efficiency. This abstract explores how AI tools like generative design software, digital twins, and …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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Prediction of Mechanical Properties for Advanced Engineering Applications utilizing Polymer Composite Materials by Machine Learning
Abstract: Polymer composites show great promise as engineering materials because of their mechanical performance, resistance to corrosion, lightweight nature, and adaptability in design. Aerospace, automotive, biomedical, maritime, and civil engineers all rely on mechanical property prediction to cut down on trial expenses, expedite product development, and optimize material selection. Speedy design optimization is not possible using traditional numerical and experimental methods due to the high costs associated with material characterisation, computational …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Overheating Prevention System to Improve the Solar Effcicency: Simulation in Logosoft
Abstract: This project aims to improve the efficiency and longevity of solar panels by preventing overheating through an automated cooling system. The system guarantees solar panels operate efficiently, reliably, and sustainably. The proposed system also includes a feedback-based control mechanism that assesses temperature changes on an ongoing basis to enhance cooling cycles and reduce superfluous water consumption. Using LOGO!Soft Comfort software for simulation, the system integrates a temperature sensor to monitor …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 Read article
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Examining the Benefits of Hybrid Solar Systems for the Production of Sustainable Energy
Abstract: A state-of-the-art energy solution, the hybrid solar system combines solar photovoltaic (PV) panels and solar thermal collectors to provide an effective and flexible method of capturing solar energy. The hybrid solar system maximises the use of sunshine to produce energy and heat concurrently by integrating two technologies. While solar thermal collectors catch solar heat energy and transform it into useful thermal energy for a variety of purposes, solar PV panels …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 7–13 Read article
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An Experimental Investigation on Surface Roughness of Laser Beam Machining of Aluminium Alloy
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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Adaptive E-Learning Algorithms and Heutagogy: A Systematic Analysis
Abstract: The proliferation of artificial intelligence (AI) and machine learning (ML) technologies has transformed the digital education landscape by enabling adaptive e-learning systems capable of personalizing content and optimizing learning paths. This study provides a systematic analysis of adaptive e-learning algorithms within the framework of heutagogy, an educational paradigm that emphasizes learner autonomy, self-direction, and capability development. The convergence of adaptive technologies with heutagogical principles offers new avenues for creating more …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 33–38 Read article
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Review on Energy Efficient MIMO Based 5G Communication Network
Abstract: As we near the advent of fifth-generation (5G) communication networks, prioritizing energy efficiency (EE) in design becomes increasingly vital for sustainable progress. A pivotal element facilitating 5G is massive multiple-input multiple-output (MIMO) technology, wherein base stations (BSs) are equipped with a vast array of antennas to achieve significant spectrum and energy efficiency improvements. This article delves into a comprehensive examination of the latest strategies aimed at optimizing EE enhancements offered …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 19–23 Read article
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Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
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Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
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The Emergence of Personal Desktop Voice Assistants for Effortless Task Management
Abstract: In an era defined by rapid technological advancement, desktop voice assistants have emerged as crucial tools, not only for enhancing productivity but also for fundamentally reshaping digital interactions. This study delves into the transformative potential of voice-enabled artificial intelligence in task automation, emphasizing its profound impact on efficiency, accessibility, and overall user experience. By harnessing the power of natural language processing and machine learning, these desktop assistants facilitate hands-free operation, …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 11–16 Read article
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A Study of Metabolic Responses of R.Q, VO₂, and VCO₂ in Two Different Swimming Strokes
Abstract: This study investigates the metabolic responses, including Respiratory Quotient (R.Q), oxygen intake (VO₂), and carbon dioxide output (VCO₂), in freestyle and butterfly stroke swimmers. Understanding these responses is crucial for optimizing training and improving competitive performance. The study employed a comparative cross-sectional design involving 30 university-level swimmers (15 freestyle and 15 butterfly) who completed treadmill tests. Measurements of VO₂ and VCO₂ were taken using an S147 Rapid Response O₂/CO₂ Analyzer, …
Published in Recent Trends in Sports · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article