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1718 articles for “AC power”
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Under Voltage and Over Voltage Protection of Electrical Equipment - A Review
Abstract: In our modern, digitally-driven world, the seamless operation of electrical equipment is paramount, spanning industries, households, and infrastructure. However, the reliability of these vital assets is inextricably linked to the quality of electrical power supplied to them. Voltage fluctuations, specifically under voltage and over voltage events, pose significant threats to the integrity and functionality of electrical equipment. This review paper undertakes a comprehensive exploration of under voltage and over voltage …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Performance Comparison of Control Approaches for Improving Power Quality by DSTATCOM
Abstract: Power quality is very important consideration for electrical supply system. A number of methods like active-passive filters, dynamic voltage restorer, distribution static compensator (DSTATCOM) etc; are used to compensate the power quality problems like harmonics, voltage sag and swell, load balancing and others. This paper presents performance comparison of two control strategies used for DSTATCOM to mitigate the problems of harmonics in distribution network. The DSTATCOM, a shunt connected device …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 26–33 Read article
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Accurate & Efficient Plant Disease Detection using Transfer Learning with Edge Impulse
Abstract: Transfer learning is a powerful machine learning technique that allows optimization of pre-trained models for related tasks on small datasets. In this research paper, we explore the application of Edge Impulse & transfer learning for plant diseases and aim to detect on edge devices more effectively at low cost. We collected and preprocessed many plant images and used this data to fine-tune a neural network model pre-trained by Edge Impulse. …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 1, 2023 · pp. 30–41 Read article
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Extended Switched Inductor Quasi Z Source Inverter for Photovoltaic Applications
Abstract: A novel extended switched inductor quasi Z source inverter is proposed in this paper for better voltage boosting with improved power factor and reliability. The operation of the proposed inverter is described with its equivalent circuit explaining operating states such as shoot through and non-shoot through states and outlining the relationship between output voltage, total harmonic distortion and power factor. Simple boost scheme is used for switching actions of the …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 2, 2017 · pp. 14–23 Read article
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Failure Analysis of Crankshaft: A Review
Abstract: Productivity improvement is the need of current market and manufacturing sector globally. For producing different products, power press machine is a vital component of the manufacturing sector. In this review paper, author aims to study the various stresses developed in the crankshaft of the various machines employing the crankshaft. The model of the desired crankshaft was prepared in CREO and further analysis was performed in ANSYS software. The results of …
Published in Journal of Production Research & Management · Vol. 6, Issue 2, 2016 · pp. 20–26 Read article
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A Comparative Review of AI-driven 3D Modelling for Simplified Photogrammetry and Object Acquisition
Abstract: The field of photogrammetry, historically reliant on guide strategies, is undergoing a transformation with the emergence of AI-powered 3d modeling answers. This assessment work delves into this evolving panorama by using evaluating and comparing various AI-pushed gear presented by means of exclusive businesses. The study in particular makes a specialty of their effectiveness in simplifying photogrammetry workflows and facilitating the acquisition of 3D gadgets. The analysis contains a diverse range …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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CredBud: The Ultimate Student Platform
Abstract: In the rapidly evolving educational landscape, effective management of student performance, attendance, and engagement is essential for fostering accountability, motivation, and academic growth. Addressing the limitations of traditional methods, CredBud introduces an innovative digital platform designed to revolutionize academic management. This secure, user-friendly ecosystem empowers both students and faculty to enhance efficiency and collaboration. CredBud’s key features include a credit allocation and grading system to monitor academic progress, a theoretical …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 1–9 Read article
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Digitised Academic Credential Verification Using Blockchain
Abstract: Blockchain is a digitized underlying technology having variety of applications that powers cryptocurrencies such as Bitcoin, Ripple and Ethereum. It has not been limited to just cryptocurrencies but has also been exploited and utilized in different domains such as education, healthcare, finance, electronics, commerce, Internet of Things, governance, etc.Some key attributes of this technology are security, decentralization, immutability, and transparency. In education sector, Blockchain technology can be used for various …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 21–29 Read article
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Design And Validation of High Efficiency Of 10T Sram with High Recoverability Of Multi Node Soft Error
Abstract: Sensitive nodes' critical charge is decreasing, which increases the soft-error vulnerability of SRAM cells used in aerospace applications. A single event upset (SEU) occurs when a radiation particle hits a sensitive node in a typical 6T SRAM cell, flipping the data that has been stored in the cell. Consequently, a Soft-Error-Aware Read-Stability-Enhanced Low Power 10T (SARP10T) SRAM cell is suggested in this project to reduce SEUs. The quadro cell exhibits …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 7–14 Read article
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Design of Lead-Free Perovskite (CH3NH3SnX3, X=I) Solar Cell using SCAPS-1D
Abstract: Research on renewable energy conversion technology has accelerated due to the world's growing energy needs. Researchers from all over the world are interested in lead-based perovskite materials. These cells are being developed as a substitute for conventional solar cells (SCs) because they have the potential to increase solar energy conversion efficiency. Lead's advantageous electrical and optical characteristics make it a viable option for photovoltaic and optoelectronic applications. Lead's limited material …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 1, 2025 · pp. 37–43 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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The Past, Present, and Future of Power Conversion Technologies for Computer, Networking, and Telecom Power Systems
Abstract: The power systems of modern computers, networking, and telecom equipment face formidable challenges due to the ongoing increase in power-density and efficiency requirements. Significant technological breakthroughs in system designs, devices and materials, topology optimization, and packaging/thermal design will be necessary to meet these objectives. To address these challenges, ongoing research and development efforts are being conducted in academia, industry, and government institutions. These efforts aim to revolutionize power system designs, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 16–31 Read article
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Thermal Effects in High-Power Laser Systems: Modeling and Mitigation
Abstract: High-power laser systems are increasingly employed in industrial manufacturing, defense, medical procedures, and scientific research due to their ability to deliver high energy density with excellent spatial coherence. However, the performance and reliability of these systems are significantly influenced by thermal effects arising from optical absorption, non-radiative recombination, and inefficient heat dissipation within laser gain media and optical components. These thermal phenomena lead to adverse effects such as thermal lensing, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 9–13 Read article
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Innovative Approaches to Luminescence: Exciton-Polariton Lasers and Quantum Confinement in 2D Materials
Abstract: The phenomenon known as luminescence occurs when an external energy of any kind excites a substance's electronic state, and the excited energy is released as light. Luminescence is the absence of heat produced by light emission. Luminescence comes in a variety of forms, including thermoluminescence, bioluminescence, and chemiluminescence. Examples of luminescence include flat-screen TVs, LED lights, and bioluminescent phytoplankton. The measurement of the emission spectrum produced when previously excited atoms …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 26–33 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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A Review Study on CPU-Optimized Parameter-Efficient Fine-Tuning for Large Language Models to Increase Accuracy Using LoRA
Abstract: The fast proliferation of large language models (LLMs) has increased the need to optimize the process of fine-tuning, but the existing workflows that require a graphics processing unit (GPU) are still expensive, intensive, and unavailable to most researchers. This paper is driven by the desire to have a more cost-efficient and democratized version by examining a CPU-efficient implementation of parameter-efficient fine-tuning (PEFT) based on low-rank adaptation (LoRA). The major purpose …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 32–38 Read article
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Optimal Size and Location of Capacitor Bank for Reactive Power Compensation Using Genetic Algorithm
Abstract: Power system operators are always faced with the dilemma of how to reduce the transmission loss. There are many ways to attain this target. In this thesis, new method for optimal capacitor placement for transmission loss minimization is planned. Proposed methods are based on the optimal capacitor placement formulations, which allow the cost benefit analysis and multi-objective optimization consideration of reactive power support investment. For better design of proposed methods, …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 2, 2019 · pp. 28–34 Read article
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Laser Beam Machining Techniques and Applications: A Review
Abstract: Laser beam machining (LBM) is the most common thermal energy-based non-contact, non-conventional machining process. The non-conventional manufacturing processes are used to remove extra material using a variety of mechanical, thermal, electrical, chemical, or combinations of these energies without the use of sharp cutting tools as is required for conventional manufacturing. With innovative approaches to manufacturing processes, it has transformed a number of industries. It is frequently used to machine a …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 28–35 Read article
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SYMMETRY AND ASYMMETRY MODEL FOR THERMAL CONDUCTIVITY IN POROUS MEDIA
Abstract: This paper focuses on determining thermal conductivity in porous media using symmetry and asymmetry models. Since porous media are not uniform and homogeneous in most of the cases, anisotropy must be taken into account, what derives in the application of an asymmetry model as thermal gradients are not equal in all directions. The paper demonstrates that, under certain conditions, isotropic conditions, therefore, symmetry model can be applied to non-homogeneous or …
Published in Journal of Geotechnical Engineering · Vol. 7, Issue 2, 2020 · pp. 38–51 Read article
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An Overview of Hybrid Renewable Energy Systems
Abstract: Long-term evaluation and analysis of several factors should be done to propose a full-phase power generation system based on renewable energy sources. An accurate assessment of the potentially available resources should be done like measuring solar irradiation, wind speed, etc. We are designing a hybrid system where hybridization methods entirely consist of renewable energy sources—specifically solar photovoltaic (PV), wind, and gravity systems. Wind and solar are among the popular renewable …
Published in Journal of Alternate Energy Sources & Technologies Read article