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929 articles for “Simulation and Modelling”
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Power Management and Control of Hybrid Energy Storage System in a Standalone DC Microgrid
Abstract: The limited supply of fossil fuels and the growing global energy demand create global energy challenges. Power production systems based on renewable energy have become more prevalent due to increased challenges. As renewable power sources become more prevalent, erratic environmental conditions increase uncertainty in power production, control, and operation. To cope with these weather conditions, some support systems, such as storage devices, use renewable energy sources (RES). The hybrid energy …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 14, Issue 3, 2024 · pp. 41–52 Read article
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Optimization of Roof angle for Sloping Roof Buildings under Extreme Wind Conditions
Abstract: A downburst that occurs during a thunderstorm is a strong downward current of wind which comes down with high speed from the cloud level and hits the ground. After hitting the ground it spreads radially outward in all directions. These are generally destructive in nature. There are evidences of downburst causing extensive damages to buildings, electrical installations etc. In India thunderstorms often occur during pre-monsoon and post-monsoon seasons particularly in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 9, Issue 1, 2019 · pp. 1–5 Read article
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Design and Simulation of Discrete Time Multi-Input Multi-Output Optimal Controller to Control Active and Reactive Power of DFIG
Abstract: The control of active and reactive power of doubly-fed induction generator (DFIG) in a large scale wind farm has become an important issue for the improvement of wind energy system to provide efficient and reliable electrical power with safety. The control strategies of active power and reactive power can be classified in two types—direct power control and indirect power control. First control strategy has designed based on the chosen switching …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 1–11 Read article
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A Study on AI-Driven Multi-Layered Defense in 6G Ecosystems
Abstract: The 6G networks bring about new degrees of possible functions related to connectivity, latency, data throughput, and integration with artificial intelligence (AI). This enables advances within healthcare, autonomous systems, and smart cities. The positive impact of rapid advancements must also be balanced with heightened risks due to the sheer volume of gaps that can be exploited, and the complex nature of the alignments and breaches. This results in the breaches …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors
Abstract: In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 1–14 Read article
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Multi-objective Optimization Methods for Various Power System Problems
Abstract: This article discusses numerous features of multi-optimization approaches as applicable to challenges relating to the optimization of power systems, such as optimum power distribution network reconfiguration, optimal distributed generator placement and sizing (allocation), optimal D-STATCOM placement and sizing (allocation), simultaneous network reconfiguration and distributed generator allocation and simultaneous distributed generator and D-STACOM allocation, are discussed. The related objectives considered in these optimization problems are also discussed with respect to the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 35–39 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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Enhancing Upper Limb Rehabilitation: Workspace, Singularity and Structural Analysis of an Adaptive Two-Link Planar Manipulator
Abstract: The current shortage of therapists and caregivers who assist individuals with physical disabilities at home is anticipated to worsen in the future. Rehabilitation for upper limb exercises conducted by physical therapists is both time-consuming and expensive. This paper introduces a lightweight two-link planar device with revolute joints designed for upper limb rehabilitation. The primary focus is on the end-effector setup, evaluating its potential to enhance rehabilitation techniques. The manipulator's design …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 162–174 Read article
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Role of Beowulf Clusters in Next-Generation Military Applications: A Comprehensive Study
Abstract: Beowulf clusters, which utilize cost-effective commodity hardware combined with open-source software for parallel computing, have emerged as a viable and efficient solution for high-performance computing needs. This paper explores their growing relevance and practical applications in modern and future military technologies. Contemporary military operations increasingly rely on rapid data processing, real-time intelligence, high-fidelity simulations, and autonomous decision-making systems. Beowulf clusters offer scalable and adaptable computational power that supports these demands …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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Practical Implementation of Network Switch on FPGA
Abstract: AbstractA network switch is a hardware device, which is used for device communication within a network. It uses a packet-switching mechanism to receive and transmit data to the target device. Network switches contain multiple ports that use media access control (MAC) address for transmitting data at the data link layer (layer 2) of the Open Systems Interconnection (OSI) model. This research aims to design a network switch on FPGA to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 1, 2020 · pp. 14–19 Read article
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Modeling of hybrid solar wind and thermal power plant for improving power system reliability
Abstract: Despite the fact that solar and wind power are two of its most promising alternatives, study on alternative energy sources has been restricted. Integration research has been reported to taking use of complementary qualities of the two. The number of solar modules, the height of the wind turbines, the number of wind turbines, and the diameter of the turbine rotor are the elements that will be improved in this study …
Published in Journal of Thermal Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 18–27 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 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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Assessment of Motorcycle Helmet Potential Across Diverse Impact Directions by Means of Simulation Approach
Abstract: To make sure motorcycle helmets are protecting riders effectively, it is essential to analyze their performance under various impact orientations and varying speeds. Analyzing materials like ABS, PVC and GFRP gives important information about how durable and impact-absorbing they are. Ansys Finite Element Analysis (FEA) functionality enables a thorough investigation of the stress distribution inside the helmet construction under various impact scenarios. The present work is to study the behavior …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 448–460 Read article
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Performance Comparison of IRT Method with NNMPC Method
Abstract: The continuous stirred tank reactor (CSTR) system was used for experimentation and the improved relay tuning (IRT) method was applied for design of optimum PID settings. The closed loop response was obtained using these optimum PID settings and compared with that of neural network model predictive control (NNMPC) method. The integral absolute error (IAE) criterion for the performance evaluation was used and it was found that the integral error has …
Published in Journal of Control & Instrumentation · Vol. 7, Issue 2, 2016 · pp. 1–4 Read article
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Theoretical and Experimental Investigation of Non-linear Vibration Response of an IPMC Actuator Subjected to Alternating Electric Potentialf
Abstract: The precise predication of stable and unstable zone for an applied excitation voltage and frequency is of importance in many micromechanical systems utilizing ionic polymer metal composite (IPMC) as the actuator. A linear dynamic model thus will no longer be valid for IPMC actuator having low thickness and thus more flexible. In this article, non-linear vibration characteristics of a silver (Ag) based IPMC actuator is studied under alternating electric potential …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 11–26 Read article
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Smart Fast Charging System with Active Cell Balancing for 4S1P Battery Packs and Smart Charger for EVs
Abstract: In the realm of electric vehicles (EVs), efficient charging solutions play a pivotal role in enhancing user experience and advancing sustainability. This project introduces three innovative concepts aimed at revolutionizing EV charging infrastructure: Parallel Charging, Smart Charger, and Active Cell Balancing. Parallel Charging introduces a groundbreaking approach to charging by efficiently delivering power to multiple batteries simultaneously. By doing so, it significantly reduces overall charging time, thereby enhancing convenience for …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 1, 2024 Read article
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Performance and Analysis of PI Controller using Characteristic Ratio Assignment Method for Coupled Tank Process
Abstract: Control the level of the liquids is a critical need in many industrial processes. Often the tanks are so coupled together that the levels interact and exhibits a nonlinear behaviour. Control of coupled tank system using conventional PI controller, result in poor performance. In this paper the modelling and controller design for coupled tank liquid level process using characteristic ratio assignment (CRA) method is implemented. CRA method is an approach …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 66–75 Read article
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Transients of Short-Circuits and Fault Clearance in 6-Pulse Diode Rectifiers
Abstract: The paper addresses the short-circuit transients in 6-pulse diode rectifier bridges. It includes also an investigation into the transients resulting from the subsequent fault clearance. Unit-step functions are efficiently used for representing the diode characteristics and emulating the fault switching actions. The short-circuit fault and its subsequent clearance are simulated by means of a time-dependent shunt resistance at the rectifier terminals. The governing set of simultaneous algebraic and differential equations …
Published in Trends in Electrical Engineering · Vol. 10, Issue 3, 2020 · pp. 6–14 Read article
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Simulation of Flow Vorticity and Instability Analysis in a Solid Rocket Motor
Abstract: Combustion instability is a major problem in most solid rocket motor (SRM) during its operation. More form of instability is generated due to several factors like coupling of combustion acoustic waves with flow dynamics, grain configuration, combustion chamber design, combustible mixture, etc. This type of flow turbulence is sustained in such system for long durations and leads to failure of the mission. In this paper, an effort has been made …
Published in Journal of Experimental & Applied Mechanics Read article