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288 articles for “High-performance computing”
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Structural Performance Evaluation of Circular Perforated Plates under Mechanical Loading
Abstract: Circular perforated plates are structurally critical components in aerospace, automotive, and marine sectors, where perforation-induced stress concentrations govern failure under mechanical loading. This study conducts a systematic finite element analysis of stress distribution, deformation, and interlaminar behavior in aluminum and glass-epoxy laminates ([−45/45/90/0]S and [−45/45/90/0]AS) under uniform transverse pressure with clamped-free boundary conditions. Four perforation configurations—no hole, central hole, single-series, and 25-hole grid—were evaluated using ANSYS Shell-181, verified against Kirchhoff–Love, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 1–20 Read article
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Analysis aspects of pressure tank: A review
Abstract: This review paper presents a detailed analysis of pressure vessels, focusing on finite element analysis (FEA) to evaluate structural integrity. Pressure vessels are widely used in industries such as chemical processing, power plants, and oil refineries, where they are subjected to extreme temperature and pressure conditions. Ensuring their safe and efficient operation requires a thorough understanding of stress distribution, deformation characteristics, and failure mechanisms. This study reviews existing research on …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 49–55 Read article
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Analyzing The Electromagnetic Transients and Corona Performance of Long Overhead Lines with Multiple Tower Spans
Abstract: This paper addresses the simulation of the electromagnetic transients developed in an important class of non-uniform high voltage power lines. The resulting information is of paramount importance for the proper planning, design, operation and protection of electric power networks. It deals particularly with long overhead high voltage transmission lines composed of several tower spans which are connected in cascade. The presented approach considers eventually existing localized corona discharges at some …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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Optimization of Process Parameters for FDM Printed Tensile Test Specimens to Reduce Energy Consumption and CO2 Emission for Sustainable Manufacturing
Abstract: Three-Dimensional Printing (3D Printing) is one of the advanced manufacturing technologies which is being tremendously used in many fields because of its innovative applications. The concept of making a three-dimensional product by adding the material layer upon layer through Computer Aided Design (CAD) file data as input source is known as 3D Printing. Fused Deposition Modelling (FDM) is one of the leading technologies from all the available 3D Printing technologies, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 63–71 Read article
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Telecommunications and New Technologies
Abstract: The rapid expansion of telecommunications is profoundly reshaping the global digital landscape, driven by the confluence of emerging technologies such as 5G, the Internet of Things (IoT), artificial intelligence (AI), blockchain, and edge computing. These new technologies are changing communication networks, making them more reliable and faster, and making it possible for data-heavy applications to work in many other fields. In order to ensure the safe and sustainable integration of …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 13–21 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Comparative Cooling Analysis of EV Battery Packs using MATLAB Simscape
Abstract: Since electric vehicles (EVs) transition to high- voltage systems to enable quicker charging and enhanced delivery of power, the high heat emitted during rapid discharge is a significant challenge. This paper presents a direct comparative study of passive air cooling and active liquid cooling of a lithium-ion battery pack. Due to the high cost of constructing the physical prototypes, we created a computationally efficient and hierarchical virtual prototype in MATLAB …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Flying Drone Using KK Flight Controller
Abstract: This paper presents the design, development, and testing of a quadcopter drone using the KK2.1.5 flight controller, with an emphasis on stability and educational value. The KK2.1.5 controller features are inbuilt LCD screen, inbuilt programming, enabling direct configuration and tuning without the need for a computer interface, which makes it highly suitable for beginners and students. The drone is built using a modular frame architecture, which allows for easy replacement …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 2, 2025 · pp. 20–25 Read article
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Hybrid Smart Parking System Enriched with IoT
Abstract: Urban zones demand progressive parking methods which emerged as a response to increasing requirements for efficient parking operations. Traditional parking operations run improperly thus creating both highway delays and fuel inefficiency and ecological degradation. And internet of things technology demonstrates the development of smart parking system that both grows IOT capacity and delivers real-time parking status announcement. ESP32 microcontrollers together with IR sensors process data through cloud storage to show …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 17–24 Read article
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Comparative of Encryption-Decryption Performance of (Binary, Gray- Scale, Color) Images Using Discrete Fractional Fourier Transform (DFRFT)
Abstract: The Discrete Fractional Fourier transform (DFRFT) provides an effective model of image encryption by further developing the classic Fourier transform by adding fractional orders, which increase the degrees of freedom. Owing to the omnipresence of digital media in many industries like education, healthcare, and entertainment, the mobility of visual data has become a significant issue to keep confidential. Images form one of the main ways of exchanging information and, therefore, …
Published in Research & Reviews : Journal of Physics · Vol. 15, Issue 1, 2026 · pp. 54–65 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Navigating the Dual Edge: A Comprehensive Technical Survey of Security, Privacy, and Countermeasures in the Era of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is seamlessly weaved into vital sectors such as self-driving cars, high-speed trading systems, and defense strategies, it has triggered a counterintuitive development in advanced cyber-attacks. This survey paper attempts to perform an in-depth technical analysis on “AI Attack Surface.” There are threats across three main vectors. Data Integrity Attacks focuses specifically examining ‘Clean Label’ poisoning and backdoor injection. Model Confidentiality Breaches is discussing the mathematics behind Model …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 1, 2026 Read article
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A Review of Computational Methods for Image Restoration and Noise Reduction Using Reference Images
Abstract: Digital imaging systems play a vital role in numerous application domains, including consumer photography, biomedical imaging, remote sensing, aerial surveillance, and astronomical observation. Despite continuous advancements in imaging hardware and software, the visual data acquired by these systems often suffer from degradation caused by spatially non-uniform blur. This blur may arise due to several factors, such as lens imperfections, atmospheric turbulence, sensor limitations, motion between the camera and the scene, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 13, Issue 1, 2026 · pp. 23–30 Read article
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Thermo-Hydraulic Enhancement of Annular Finned Shell-and-Tube Heat Exchangers Using Epoxy-Based Polymer Composites: A Material–Geometry Coupled CFD Investigation
Abstract: Shell-and-tube heat exchangers remain a backbone of industrial thermal systems, yet their performance is often limited by relatively low shell-side heat transfer and the weight and cost associated with conventional metallic components. In this context, the integration of polymer composite materials offers a promising pathway toward lightweight, corrosion-resistant, and performance-tunable heat exchanger designs. The present study investigates the thermo-hydraulic performance of a straight-tube shell-and-tube heat exchanger equipped with annular fins, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 669–684 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Investigation to Enhance Performance of Finned U-Tube Shell-and-Tube Heat Exchangers Using Epoxy Based Polymer Composite Material
Abstract: Shell-and-tube heat exchangers remain indispensable in thermal engineering systems; however, conventional metallic configurations often face challenges related to corrosion, weight, and limited thermal optimization. In this study, a novel approach is proposed by integrating epoxy-based polymer composite materials with finned U-tube geometries to enhance thermo-hydraulic performance while addressing material limitations of traditional systems. The work focuses on the development and evaluation of a hybrid heat exchanger comprising a mild steel …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 618–633 Read article
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The Role of Simulation and Digital Twins in Enhancing Mechanical Production Efficiency: A Systematic Review
Abstract: In the evolving landscape of smart manufacturing, simulation technologies and digital twin (DT) systems have emerged as pivotal tools for enhancing the efficiency, agility, and sustainability of mechanical production processes. This systematic review investigates how the integration of simulations and DTs contributes to performance improvements across various stages of mechanical manufacturing—ranging from design and process optimization to predictive maintenance and real-time monitoring. While simulations provide the ability to model, test, …
Published in Journal of Production Research & Management · Vol. 15, Issue 2, 2025 · pp. 31–36 Read article
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Gold Nanoparticle Size, Biodistribution, and Toxicity: Insights from DualEnergy CT
Abstract: Dual-energy and spectral computed tomography (CT) have emerged as powerful platforms for noninvasive, quantitative mapping of nanoparticle biodistribution in vivo. By exploiting the energy-dependent attenuation profiles of high-atomic-number (high-Z) materials, these systems enable material decomposition and element-specific imaging, thereby distinguishing nanoparticle signals from those of soft tissues and conventional iodinated contrast agents. Photon-counting spectral CT further enhances this capability by binning individual photons into multiple energy channels, improving spatial resolution, …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 28, Issue 2, 2025 Read article
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Analyzing Cavitation in Marine Propeller: A Computational Approach with Consideration for Polymer Applications
Abstract: A major source of noise and blade damage in marine propellers is because of the phenomenon of hydrodynamic cavitation. The Computational Fluid Dynamics (CFD) analysis approach is employed for the prediction of the cavitating propeller’s performance characteristics under various conditions of operation with the advance coefficient (J) ranging from 0.55 to 0.91 and cavitation number (σ) in the range of 0.80 to 4.50. The numerical simulation is performed on INSEAN …
Published in Journal of Polymer & Composites · Vol. 12, Issue 8, 2024 · pp. 29–44 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article