Search
448 articles for “Computer simulation”
-
Thermo-mechanical Modeling and Analysis of Heat Exchangers for Enhanced Performance in Renewable Energy Systems
Abstract: A comprehensive review of the thermo-mechanical properties of heat exchangers used in renewable energy facilities is presented in this research study. Heat exchangers are essential components of many renewable energy resources like biomass boilers, geothermal power plants, and solar thermal systems. It is crucial to comprehend their thermo-mechanical behavior in order to maximize efficiency, guarantee dependability, and increase operational lifespan. This work explores the complex interactions between mechanical stresses and …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 1, 2024 · pp. 13–19 Read article
-
Application of Dynamic Phasor Model as an Alternative to DFT in Phasor Measurement
Abstract: This paper presents the application of dynamic phasor based models as an alternative to the Discrete Fourier Transform (DFT) commonly used in the Phasor Measurement Units (PMU). The paper demonstrates that the computation of a phasor using DFT in discrete time domain is equivalent to the computation of phasor (Dynamic Phasor) in continuous time domain. This paper proposes the application of dynamic phasor based models to simulate a Wide Area …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 46–52 Read article
-
Computational Modeling of Fluid Flow through A Fractured Media under Overburden Pressures
Abstract: Computational analyses were conducted to investigate fluid flow characteristics of a real fractured media. Finite element (FE) and computational fluid dynamics (CFD) analyses were implemented to carry out these computational analyses. The fractured media was exposed to external pressurization to predict permeability and asperity deformation. Furthermore, a series of CFD-FE analyses were also conducted to determine the reduction in permeability of the fractured media under the external pressure. An elastic-plastic …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 1, 2015 · pp. 25–43 Read article
-
Deployment Of Communication and Digital Technology for Handling Insecurity and Environmental Challenges In Nigeria
Abstract: There are so many challenges in Nigeria that require the input of digital technology and communication information technology (ICT). This paper x-rays the deployment of communication and digital technology for the eradication of insecurity and environmental issues such as cybercrime, kidnapping, flooding, water pollution, climate change, poor waste management and oil spillage. The methodology adopted includes secondary data from literature and expert opinions. Challenges identified include insecurity issues; Crime and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 12, Issue 3, 2022 · pp. 17–27 Read article
-
Innovating Sustainably: The Role of Generative Design in Sustainable Technology Development
Abstract: As industries strive for sustainability, generative design has emerged as a transformative approach in engineering, offering solutions that minimize environmental impact while optimizing product performance. Based on established features, including material, size, weight, and performance standards, generative design generates an immense amount of design options using machine learning and artificial intelligent algorithms. Unlike traditional design, which relies on human intuition, generative design automates the exploration of solutions, ensuring material efficiency, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 39–45 Read article
-
Multi-Objective Optimization of Polymer-Based Functionally Graded Composites for Lightweight Structures
Abstract: Functionally graded composites (FGCs) improve lightweight structural performance by allowing material properties to change smoothly across a component. Polymer-based FGCs (P-FGCs), in particular, are gaining prominence in aerospace, automotive, and biomedical industries due to their excellent strength-to-weight ratio, tunability, and ease of processing. However, optimizing these materials for lightweight structural applications requires addressing conflicting design objectives, such as maximizing stiffness while minimizing weight or enhancing thermal resistance while maintaining manufacturability. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 961–973 Read article
-
Digital Modules of the Green Buildings to Study Protection of Air Quality
Abstract: The aims of this study are to simulate air flows inside and around multi-storey green building spaces together with the distribution of concentrations of harmful substances and microorganisms to increase the sustainability of design solutions for green modules. Among the objectives of the study are assessment of bioclimatic comfort, risk analysis of bioclimatic eco-safety in the framework of aeration and pollution modeling, as well as eco-optimization of building design, which …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 838–846 Read article
-
Analyzing Thermal Expansion in Polymer Composites Through Heat Transfer Simulations
Abstract: Although lightweight and strong, polymer composites require careful handling in environments where temperatures shift. Their usefulness in fields like aviation, vehicle manufacturing, and electronic devices comes from customizable heat behavior alongside favorable mechanical traits. Yet variation in size due to heating or cooling remains a concern hard to dismiss. As conditions change, expansion occurs - sometimes enough to disrupt fit, alignment, or function within complex systems. This response to warmth …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1098–1108 Read article
-
Physics-Informed Generative and Tensor-Based Framework for DNA Sequence Simulation and Genomic Structure Discovery
Abstract: In this paper, we explore the intersection of artificial intelligence (AI) and mathematical physics to propose advanced methods for DNA sequence generation and analysis. Specifically, we investigate how physics-informed Generative Adversarial Networks (GANs) and tensor network representations can be harnessed to restructure DNA for applications in genetic science. The proposed methodology offers a unique integration of concepts of thermodynamic modeling with innovative GAN architecture in order to allow the creation …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
-
A New Method for Measuring Overall Reliability and Performance in Growing Computer Networks with Static and Variable Connections
Abstract: ABSTRACTThis paper presents a computational study on the performance of reliability measures by using optimized ANN for computer networks with fixed and varying link reliabilities. This paper focus on the design of minimum cost reliable computer networks when a set of nodes, their topology, and links are given to connect them. A comparative study of various approaches for evaluating reliabilities has been studied such as Monte Carlo simulation methods and …
Published in Journal of Computer Technology & Applications · Vol. 1, Issue 1-3, 2011 · pp. 1–14 Read article
-
Formation of Reaction Bubbles in FCC Riser Reactor
Abstract: For modeling FCC unit, art of defining undefined hydrocarbon misxtures in conjunction with application of two different specialized fields of Chemical Engineering–Chemical Reaction Engineering (CRE) and Computational Fluid Dynamics (CFD) are required. CRE needs elaboarte and appropriate definition of undefined mixture and their chemical kinetics, whereas CFD needs solution of more regorous differential equations to define fluctuating and turbulent flow. Most of the reported works in available literature seems to …
Published in Journal of Petroleum Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 16–27 Read article
-
Computer-aided Drug Design Method for Anti-hepatitis C Drug Design
Abstract: Hepatitis C is a disease caused by the hepatitis C virus and can cause serious liver damage. There is currently no vaccine for this disease and the number of infections continues to increase worldwide. Currently used antiviral drugs are interferon alfa-2a and ribavirin, but about half of patients do not respond to therapy. Therefore, new drugs that protect against hepatitis C need to be investigated. Computational drug methods have been …
Published in Research and Reviews : A Journal of Immunology · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
-
Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
-
Exploring the Role of MAPK3 in Major Depressive Disorder: Molecular Docking, Dynamics, and Binding Free Energy Analysis of Natural Compounds as Alternatives to Conventional Drugs
Abstract: Major Depressive Disorder (MDD) is a prevalent neuropsychiatric disorder with limited treatment efficacy and significant side effects associated with conventional antidepressants. Recent studies have highlighted the role of mitogen-activated protein kinase 3 (MAPK3) in the mechanisms underlying MDD, positioning it as a potential target for the development of novel therapeutic drugs. In this study, we employed various computational approaches to explore natural compounds as viable alternatives to synthetic antidepressants. Researchers …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 53–68 Read article
-
An Overview on AI-Driven IoT Based Decision Making in Climate change Study: KSK approach in Climate Change Study
Abstract: As the Earth’s climate enters a state of unprecedented volatility, the traditional methods of ecological observation—characterized by delayed reporting and fragmented data—are no longer sufficient. This study investigates the paradigm shift toward AI-driven IoT (KSK Approach)-based decision-making frameworks as the primary frontier in climate science. By deploying a "planetary nervous system" of interconnected sensors—measuring everything from soil moisture in the Sahel to glacial melt rates in the Arctic—we generate a …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 1–10 Read article
-
Application of MODFLOW in Water Resource Management
Abstract: Groundwater is one of the major sources of water in our country. Due to its over exploitation, fulfilling the demands for domestic, agricultural and industrial purpose, groundwater level is falling very rapidly day by day especially during summer season in arid and semi arid regions, leading to water scarcity problems. This necessitates the proper planning and management of groundwater resources. Recent advancement in computer-based modelling system provides solution to plan …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 2, 2015 · pp. 1–5 Read article
-
Study of Perovskite (CH3NH3PbI3) Solar Cell using CuI (Copper Iodide) as Hole Transport Layer (HTL) at different thickness of HTL layer
Abstract: While solar energy is a viable option, future clean energy solutions may require other energy sources. Renewable electricity sources are known for being affordable, easy to access, and not producing greenhouse gases. Photovoltaic cells, which turn sunlight into electrical power, are a good choice. Over the last twenty years, advancements in photovoltaic technology have lowered costs and improved the efficiency of solar cells. Perovskite materials, recognized for their unique crystal …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
-
The Impact of Microservices Architecture on Cloud Application Development and Deployment
Abstract: The purpose of this study is to clarify how the development and deployment procedures of applications are impacted by cloud computing and microservices architecture, as these technologies become more widely used. Applications have moved significantly to the cloud in recent years in order to benefit from lower costs, elastic scalability, and other advantages. Simultaneously, a lot of businesses are switching from monolithic programs to microservices in order to get more …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 33–51 Read article
-
Thevenin and Norton Resistance Using Time Domain Analyses Using Spice Simulations
Abstract: Thevenin and Norton equivalent circuits are of interest to circuit simulation designers and researchers. For the Thevenin resistance and Norton conductance determination of a network with available circuit theorems, the substitution network theorem (applied to OrCAD, SPICE, and Pspice AD simulation project) is shown to be suitable with the SPICE/ Pspice circuit simulation software. Instead of the DC option, the transient analyses option of SPICE is used to determine Thevenin/Norton …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 8–18 Read article
-
Cutting-Edge Developments and Innovations in Amazon Web Services (AWS)
Abstract: In 2025, Amazon Web Services (AWS) continues to dominate the cloud computing industry through groundbreaking innovations in artificial intelligence (AI), strategic partnerships, data center advancements, and expansion into new markets. These initiatives help AWS maintain its position as a top provider of secure, scalable, and efficient cloud services, adapting to the ever-changing demands of businesses across the globe. One of AWS’s most significant advancements is its AI-driven cloud services, which …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 2, 2025 · pp. 01–08 Read article