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355 articles for “Dynamic Power”
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A Comprehensive Study of various Multi-Area Hybrid Power Systems for Generation Control
Abstract: This paper is a detailed examination of multi-area hybrid power systems in the control of the generation taking into consideration the two area up to five area connected networks. As renewable energy sources are more and more integrated, and modern grids become more and more complex, the stability of the system itself and the frequency regulation have risen to a major issue. The study highlights the significance of Automatic Generation …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 28–42 Read article
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A Systematic Study of AI-Powered Robotics for Ocean Cleanup of Plastics
Abstract: The escalating crisis of plastic pollution in marine ecosystems demands innovative solutions beyond conventional cleanup methods. This paper presents a systematic study of artificial intelligence (AI)-powered robotics for ocean plastic cleanup, evaluating their efficiency, technological advancements, and challenges. Autonomous systems, such as AI-driven surface drones (ASVs), underwater robots (autonomous underwater vehicles/remotely operated vehicles [AUVs/ROVs]), and swarm robotics, leverage machine learning (ML) and computer vision to detect, classify, and collect plastic …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Intelligent Planning of Transmission Networks: Addressing Uncertainties Through Artificial Intelligence
Abstract: Power grid planning is a critical aspect of power grid topology, traditionally relying on manual methods that are prone to various uncertainties. These uncertainties, both subjective (stemming from human judgment) and objective (resulting from data limitations), can significantly affect the reliability and efficiency of the planning process. This paper presents an artificial intelligence (AI) method aimed at improving the smart planning of transmission networks. By utilizing AI, the proposed method …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 40–46 Read article
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Pathophysiology Reimagined: Integrating Systems Biology and AI for Disease Understanding
Abstract: Pathophysiology, the study of disease mechanisms at molecular, cellular, and systemic levels, has traditionally relied on reductionist approaches that often fail to capture the complex, dynamic, and interconnected nature of biological systems. Diseases such as cancer, neurodegenerative disorders, and infectious diseases arise from intricate interactions among genetic, epigenetic, metabolic, and environmental factors, necessitating integrative, data-driven methodologies for a deeper understanding. Systems biology has emerged as a powerful approach by leveraging …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 63–71 Read article
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Walking into the future: Energy Harvesting from Foot Fall
Abstract: The rapid depletion of non-renewable energy resources and the rising demand for sustainable alternatives have led to the exploration of innovative energy harvesting technologies. One such approach is harnessing the untapped mechanical energy produced by human footfalls in crowded public areas. This project presents a novel method of electricity generation using a flywheel-based mechanical system that captures and converts footstep energy into electrical energy. The system is designed to be …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 28–34 Read article
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Cardiovascular Modeling with Computational and Mathematical Methods
Abstract: The cardiovascular system, a complex network responsible for delivering life-sustaining oxygen and nutrients throughout the body, is a prime target for advanced understanding and improved therapies. Due to the inherent difficulties in directly observing internal physiological processes and the complexities of interactions within the system, computational and mathematical modeling have emerged as powerful tools in cardiovascular research. This article explores the significance of these methods in unveiling the heart's secrets …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Role of Quantum Chemistry in Catalysis: A Comprehensive Review
Abstract: Catalysis plays a crucial role in modern chemical manufacturing, energy conversion, and environmental protection by enabling chemical reactions to occur more rapidly, selectively, and with reduced energy consumption. A fundamental understanding of catalytic processes at the atomic and electronic levels is essential for the rational design and optimization of catalysts. Quantum chemistry has emerged as a powerful theoretical and computational framework that enables detailed investigation of electronic structure, reaction energetics, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 01–16 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Evaluating the Performance and Efficiency of Control Strategies in the Context of Reconfigurable Battery Architectures for Fast- Charging Electric Vehicle Stations
Abstract: Electric vehicles (EVs) are becoming very popular because they help to reduce pollution and save energy. But one big problem is charging, because normal charging take very long time. Many researchers study fast charging methods to make EV charging faster, safe and more efficient. Recent studies show that reconfigurable battery systems can help a lot. These system can change their connection or structure to charge faster and reduce loss. Recent …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 4, Issue 2, 2026 Read article
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IoT-Enabled Pet Nutrition: Designing an Automatic Pet Food Dispenser
Abstract: The paper aims to address the challenges faced by pet owners in ensuring precise feeding, real-time health monitoring, and remote-control capabilities. By integrating hardware components such as Arduino Mega, Project Board, Liquid Crystal Display, Power Supply, and Load Cell, long with software development in Embedded C and Arduino Uno, the Pet Feeder system offers a comprehensive solution for remote pet care. The system allows pet owners to input the pet's …
Published in Journal of Microcontroller Engineering and Applications · Vol. 10, Issue 2, 2023 · pp. 38–44 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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Mechanisms of Crystal Growth: From Spiral Steps to Surface Adhesion
Abstract: Crystal growth is a complex interplay between thermodynamic stability and kinetic processes, influenced heavily by the conditions under which crystallization occurs—particularly the degree of supersaturation. This abstract outline three principal regimes of solution-grown crystal growth: defect-driven, two-dimensional, and adhesive growth. At low supersaturation, growth is facilitated at surface defects, such as screw dislocations, where energy barriers to attachment are minimized. This results in the formation of spiraling steps that propagate …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 1, 2025 · pp. 46–31 Read article
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Development of Lightweight Chassis and Efficient Drivetrain for Formula Student Applications
Abstract: The chassis and drivetrain of a Formula Student vehicle are designed, analyzed, and optimized in this research study with an emphasis on manufacturability, performance, and safety. The project emphasizes the use of advanced engineering tools such as SolidWorks for computer-aided design (CAD) and ANSYS for structural analysis to evaluate the chassis under various dynamic conditions. The primary objective is to ensure that the driver remains safe inside the cockpit while …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 1–17 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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Optimizing Data Processing Efficiency in Big Data: Advanced MapReduce Algorithm Innovations
Abstract: The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Vibration analysis of Power transmission shafts in automobiles
Abstract: A power transmission shaft is considered in the present work and analyzed for vibrations. It is a shaft supported on single cylinder four stroke engine. Finite element analysis technique is applied to analyze for stresses and their intensities. The analysis is carried out for different engine speeds and later compared the results by using simulation software. It is observed form the results that there are critical speeds at which sudden …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 1–4 Read article
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Big Data Analytics for Effective Decision Making in Business Intelligence
Abstract: In this study, we explore the significance of Big Data Analytics (BDA) in enhancing decision-making processes within Business Intelligence (BI) frameworks. It involves processing vast volumes of data from various sources, enabling businesses to identify patterns, trends, and correlations that were previously unnoticed. This analytical power enhances strategic planning, customer understanding, operational efficiency, and competitive advantage. Through advanced algorithms and machine learning techniques, businesses can predict future trends, optimize operations, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 23–28 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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Innovative Platform for College Event Planning and Secure Transactions
Abstract: The unified platform for college events is designed as an all-in-one solution to simplify the process of organizing college events while ensuring seamless payment transactions. By combining event management and payment processing into a single system, this innovative platform provides colleges and universities with a convenient way to plan, promote, and execute events while securely handling financial operations. In the lively and dynamic environment of college life, events such as …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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The Role of Artificial Intelligence in Mental Health: Applications in Neurodegenerative Disorders
Abstract: Artificial intelligence (AI) has significantly changed many aspects of medical care, particularly the early evaluation, therapy, and management of neurodegenerative illnesses like Alzheimer's, disease, Parkinson's diseases, and Huntington's diseases. The current research explores the application of AI in mental health with respect to neurological disorders, especially advancements in cognitive examination, neuroimaging analysis, predictive modeling, and customized therapy modalities. Artificial intelligence (AI) systems have shown enormous potential in detecting minute biomarkers …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 3, 2025 · pp. 34–40 Read article