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676 articles for “System dynamics”
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Enhancement of LVRT Capability in DFIG based Microgrids Using STATCOM
Abstract: The improvement of a grid-connected wind microgrid's Low Voltage Ride-Through (LVRT) capability using a Static Synchronous Compensator (STATCOM) is investigated in this research. The increasing penetration of wind energy into modern power systems necessitates advanced control strategies to maintain grid stability during voltage disturbances and fault conditions. In this study, a STATCOM is employed with an effectively tuned PI controller to provide enhanced dynamic response, voltage regulation, and reactive power …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
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Smart Material–Based Energy Conversion and Storage Solutions in Industrial Engineering Systems
Abstract: A revolutionary step for attaining energy-efficient, sustainable, and intelligent industrial processes is the use of smart materials with industrial engineering systems. Advanced approaches to energy harvesting, conversion, and storage in industrial settings are made possible via smart materials, which are distinguished by their capacity to sense and react dynamically to mechanical, thermal, electrical, and external cues. These materials enable accurate energy recovery from vibrations in machinery, operational loads, waste heat, …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Re-imaging Education Policy of a Framework Based on Indian Knowledge Systems
Abstract: Digital transformation revolutionized education; it enhances teaching and learning, improves administrative tasks, and empowers students and educators. Digital transformation in education and its importance in shaping the future. Integration of technology in classrooms enables interactive and immersive learning. Digital tools offer dynamic learning experiences, enhancing student engagement. This leads to improved comprehension and knowledge retention. Personalized learning experiences are facilitated by digital transformation. Digital transformation creates vast resources and online …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 42–63 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Surveillance Car using ESP32 Cam Module by using GAN Model
Abstract: This paper shows the Surveillance Car system which leverages the ESP32 Cam module and incorporates advanced image processing through a Generative Adversarial Network (GAN) model to redefine the landscape of mobile surveillance systems. The ESP32 Cam serves as the core hardware platform, offering compact design and wireless capabilities for real-time image capture and remote monitoring. The system’s innovation lies in the integration of a GAN model for image processing, enhancing …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 2, 2024 · pp. 28–37 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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Design and Implementation of an Automatic Rain Sensing Wiper System Using SEN0545 Sensor and Raspberry Pi Pico W
Abstract: This study presents the design and development of an intelligent, automatic rain-sensing wiper system designed to enhance vehicle safety. The system utilizes a SEN0545 capacitive rain sensor, integrated with internal signal processing, and a Raspberry Pi Pico W microcontroller as its central control unit. The proposed approach enables non-contact and corrosion-free rain detection, ensuring reliable performance under varying environmental conditions. Based on the detected rainfall intensity, the controller dynamically adjusts …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
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IoT-Based Real-Time Weather Monitoring System
Abstract: In the evolving landscape of the Internet of Things (IoT), real-time environmental monitoring has become increasingly vital across various domains, including agriculture, smart cities, and climate research. This study presents the design and implementation of an IoT-based real-time weather monitoring system that utilizes the ESP32 microcontroller in conjunction with AWS cloud services. Temperature and humidity data are captured using onboard sensors and transmitted using the MQTT protocol to AWS IoT …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 3, 2025 · pp. 19–25 Read article
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AI-Powered Defense: Advancing Cybersecurity Through Artificial Intelligence Innovations
Abstract: In the current landscape of escalating cyber threats and increasingly sophisticated attack vectors, integrating artificial intelligence (AI) within cybersecurity strategies has become a critical step forward. This study explores the role of AI in strengthening cybersecurity by utilizing its strengths in data analysis, pattern recognition, and predictive modeling. Through AI, organizations can greatly enhance their ability to detect and respond to threats. Machine learning algorithms enable ongoing adaptation to new …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 1, 2026 · pp. 35–41 Read article
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Strategies for Efficient Integration of Distributed Energy Resources into Microgrid Systems
Abstract: With the growing integration of Distributed Energy Resources into modern power systems, the global energy landscape is changing. Some of the DERs are solar photovoltaic (PV), wind turbines, battery storage systems, combined heat and power (CHP) units, and electric vehicles (EVs). Some of the advantages include lower transmission losses, better energy efficiency, and more resilience to grid failures. However, the far-reaching integration of DERs carries with it considerable technical, economic, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 51–56 Read article
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Drive Line for Plug-in Electric Vehicle with PMSM Motor and Hydrogen Fuel Cell
Abstract: In the era of transportation, the best effort will be to replace conventional fossil fuels. Instead, the usage of fossil fuels will give way to renewable energy sources and other clean energies. Many institutions promote the developments and research in the area of hydrogen fuel cell development. This paper passes through the hydrogen fuel cell area as the primary source considered here is a hydrogen fuel cell. Since electric motors …
Published in Journal of Nuclear Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 32–49 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Nanotechnology: Recent Advances, Opportunities and Challenges
Abstract: Nanotechnology, the science of the minuscule, has catalysed a revolution across diverse fields, from pharmacy to veterinary science. This abstract encapsulates the dynamic interplay between nanotechnology and healthcare, unveiling its transformative impact on drug delivery, cosmeceuticals, veterinary medicine, dentistry, and biotechnology. In pharmacy, nanotechnology pioneers targeted drug delivery systems, amplifying therapeutic efficacy while mitigating adverse effects. Nano-cosmeceuticals redefine beauty standards, infusing skincare, haircare, lip care, and nail care products with …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 44–64 Read article
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Design and Characterization of High-Performance Polymer Nanocomposites for Aerospace Applications
Abstract: Polymer nanocomposites have revolutionized aerospace materials through mechanical strength, thermal stability, and lightness. A number of polymer matrices filled with nanofillers such as carbon nanotubes, graphene, and nanoclay considerably improved structural integrity, flame resistance, and environmental adaptability. However, fabrication techniques are still being optimized so that nanofillers are properly dispersed throughout, which may create contradictions between mechanical strength and process ability. This work tries to design and characterize high- performance …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 178–193 Read article
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Digital Agriculture Schemes in Kerala: Risk Analysis and Multi-Layered Security Framework
Abstract: Kerala’s agricultural sector is undergoing rapid digital transformation, driven by initiatives such as the e-Krishi platform and the growing adoption of Internet of Things (IoT)–enabled precision farming technologies. While these developments promise improved productivity, transparency, and data-driven decision-making, they also introduce significant cybersecurity and data governance challenges that cannot be overlooked. This paper critically examines the emerging security, privacy, and operational risks associated with the digitization of agricultural services in …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 23–30 Read article
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Atmospheric Determinants of Feed, Fodder, and Forage Contamination in a Changing Climate: Emerging Challenges for Sustainable Livestock Production
Abstract: Feed, fodder, and forage contamination represents a growing constraint to sustainable livestock production under a changing climate. Atmospheric determinants such as rising temperature, altered precipitation patterns, increased humidity, elevated carbon dioxide concentration, and enhanced aerosol and pollutant loads are increasingly recognized as critical drivers of contamination risks across feed supply chains. These atmospheric factors directly and indirectly influence crop growth, fungal proliferation, mycotoxin biosynthesis, microbial survival, and the deposition of …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 1–14 Read article
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ArcGIS Applications in COVID-19 Spatial Epidemiology: A Comprehensive Systematic Review
Abstract: Addressing complicated community health concerns frequently necessitates the establishment of health practices. Professionals who study community health using information technology require a thorough framework. Health care professionals and authorities have had the ability to comprehend health-related geographical data and make timely judgments in different situations. In the field of epidemic disease prevention, including a viral spread model into a GIS is a popular issue. As a result, a GIS as …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 17–25 Read article
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IoT-Enabled Multi-Sensor Accident Detection and Automatic Rescue Alert System
Abstract: Road accidents and vehicle instability caused by skidding, engine overheating, and improper braking behavior remain major concerns in modern transportation systems. This project presents an intelligent vehicle safety and accident detection system that integrates multiple sensors and control logic to enhance driving safety and reduce accident severity. A vibration sensor is employed to detect collision or impact events and accurately identify vehicle accidents. An accelerometer sensor is used for real-time …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 9–19 Read article
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Data Structure Driven Probabilistic Deadlock Resolution in Multiprocessor Systems
Abstract: Deadlock resolution in multiprocessor systems is fundamentally a graph-theoretic and probabilistic decision problem. Existing victim selection heuristics, such as youngest, oldest, and lowest priority, apply static rules that overlook the dynamic runtime state of processes, leading to unnecessary computational loss. This paper reframes the inference-guided preemption (IGP) algorithm as a data-structure-centric solution, highlighting how resource allocation graphs, wait-for graphs, adjacency lists, min-heaps, and hash-based evidence stores interact to enable efficient …
Published in International Journal of Data Structure Studies · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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Study on Single-Slope Solar Still for Experimental and Data-Driven Analysis for Improving Productivity with Different Basin Materials.
Abstract: This study investigates the single-slope solar still under the diurnal variation of water temperature and distillate yield under identical operating conditions. Experimental analysis was conducted to evaluate the performance enhancement through the incorporation of natural basin materials, namely hemp and sand. The water distillation process is focused on improving potable water productivity and thermal behaviour. The inclusion of hemp and sand in the basin leads to noticeable differences in productivity …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 31–46 Read article