Search
358 articles for “architectural design”
-
Power and Area - Aware Recursive Multiplier Architecture Utilizing Polymer Composites for Neural Network Acceleration
Abstract: Approximate computing is widely applied in error - tolerant systems as an effective technique to enhance circuit performance by deliberately allowing occasional inaccuracies instead of strictly ensuring precise results for every computation. Among the fundamental building blocks of digital systems, multipliers play a crucial role in signal processing, control systems, and machine learning applications; however, they demand significant power, silicon area, and timing resources. Leveraging error - tolerant approximate multipliers …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1320–1337 Read article
-
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
-
Digitally Tunable Dual-Phase Polymer–PCM Composites for IoT-Based Adaptive Thermal Management in Smart Buildings
Abstract: This study presents the design and development of digitally tunable dual-phase polymer–phase change material (PCM) composites for advanced thermal management in smart building applications. The composite is based on a hybrid polymer matrix comprising thermoplastic polyurethane (TPU) and a crosslinked polyvinyl alcohol (PVA) gel, reinforced with paraffin microencapsulated PCM and hydrated salt PCM to achieve multi-stage thermal energy storage. The polymer composite architecture enables enhanced structural integrity, high encapsulation efficiency …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–157 Read article
-
Host-Pathogen Coevolution: Implications for Immune Evasion and Pathogen Fitness
Abstract: The interaction between hosts and pathogens represents a continuous evolutionary struggle, shaping both microbial virulence and host immunity. Pathogens employ diverse strategies to evade immune surveillance, ranging from antigenic variation and molecular mimicry to hijacking of host immune checkpoints. Simultaneously, hosts refine innate and adaptive immune mechanisms to counteract infection and limit damage. This reciprocal adaptation, known as host–pathogen coevolution, influences pathogen persistence, transmission, and fitness, while also sculpting immune …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 · pp. 6–10 Read article
-
Host Invasion to Immune Evasion: Emerging Concepts in Pathogen Virulence Strategies
Abstract: The interaction between hosts and pathogens represents a continuous evolutionary struggle, shaping both microbial virulence and host immunity. Pathogens employ diverse strategies to evade immune surveillance, ranging from antigenic variation and molecular mimicry to hijacking of host immune checkpoints. Simultaneously, hosts refine innate and adaptive immune mechanisms to counteract infection and limit damage. This reciprocal adaptation, known as host–pathogen coevolution, influences pathogen persistence, transmission, and fitness, while also sculpting immune …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 Read article
-
Comparative Analysis of Energy Storage System’s Hybridization for Electric Vehicles: Evaluating Lithium-Ion Batteries, Supercapacitors, and Fuel Cells on Performance Metrics
Abstract: High-performance energy storage systems (ESS) in electrically powered cars are becoming more and more necessary as transportation options become more environmentally conscious. This research provides a thorough comparison of hybrid energy storage systems (HESS) that link fuel cell technology, supercapacitors, and batteries made of lithium ion. Critical performance metrics are assessed for each technology, including energy density, power density, efficiency, lifecycle durability, thermal performance, cost and sustainability. It summarizes the …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 1, 2025 · pp. 12–29 Read article
-
Robust Access Control Mechanisms Using VHDL Programming for IoT Security
Abstract: The Internet of Things (IoT) devices are increasingly becoming targets for criminal actors. A compromised device can result in data breaches, denial-of-service attacks, and even physical damage. While software-based security solutions are important, they are susceptible to attacks and often impose significant overhead, negatively impacting both performance and battery life. A viable alternative is provided by hardware-based security, which takes advantage of the inherent security benefits that are associated with …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 2, 2025 · pp. 6–1`9 Read article
-
VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article
-
Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
-
A Review on Additive Manufacturing Processes
Abstract: Additive manufacturing is a new and rapidly developing method in the business world. "Additive manufacturing process" refers to the process of creating products from layers of material. High speed printing or 3D printing is another name for this process. This manufacturing method uses no tools and can produce highly accurate products in less time. A rigid part can be formed and used in this way. Stereolithography (STL) files are created …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 13–24 Read article
-
A Comparative Analysis of Machine Learning Techniques for Fruit Defect Detection Systems
Abstract: With evolving technologies in machine learning, significant advancements have been made in the livestock industry, helping to reduce waste, increase yield, achieve cost savings, and improve competitiveness in the marketplace. Fruit defect detection models support precision agriculture by providing valuable data for decision-making and enhancing overall efficiency through automated inspection processes. This study implements and comparatively evaluates machine learning models including MobileNetV2, a custom-designed convolutional neural network (CNN) model, ResNet50, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 37–47 Read article
-
Investigate an Implementation Study of TI-6AL-4V Lattice-based Scaffold Design Using Finite Element Analysis
Abstract: Implementation studies are advised to determine the effectiveness and performance of bone scaffolding in morphology, which has been demonstrated scientifically. The rehabilitation of bone defects, which is still a complex problem in orthopedic surgery, was the subject of an implementation study we provided. Biomaterial scaffolding porosity and pore size are essential in both in vivo and in vitro bone development. However, it has been linked to various drawbacks, including poor …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 1, Issue 1, 2023 · pp. 28–35 Read article
-
Revitalizing São Cristóvão: Integrating Industry, Commerce, and Community for a Sustainable Urban Future
Abstract: This paper introduces a comprehensive framework for the sustainable regeneration of São Cristóvão, a historically industrial district in Rio de Janeiro, South America, which presently demonstrates significant urban deterioration, socio-economic instability, and increasing environmental hazards. Through an interdisciplinary methodology integrating spatial analysis, ethnographic profiling, environmental assessment, and stakeholder engagement, the study develops a phased master plan aimed at transforming the neighborhood into a resilient, inclusive, and economically diverse urban environment. …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 58–68 Read article
-
Automatic Laser Welding Machine Using PLCs
Abstract: This paper presents the design and implementation of an automatic laser welding machine controlled by a Programmable Logic Controller (PLC) technology. Laser welding has gained significant attention in various industries due to its precision, speed, and efficiency. However, manual operation of laser welding systems can be labor-intensive and prone to errors. The proposed system aims to address these challenges by automating the welding process using PLC-based control. The system architecture …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 9–15 Read article
-
Silicon Symphony: The Science of Semiconductors Circuits
Abstract: Modern electronics are built on the foundation of semiconductor circuits, which precisely and efficiently control the flow of electrical impulses. This article takes a look at the underlying physics of semiconductor materials and how their unique electrical properties allow the design and functioning of diodes, transistors and integrated circuits. This study links microscopic scientific principles to the behaviour of real circuits. It considers essential concepts such as charge carriers, doping …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
-
Future-Ready Communication Systems: Exploring High-Speed, Adaptive, and Secure Network Solutions
Abstract: The domain of electronics communication systems has experienced rapid transformation due to the growing demand for high-speed, reliable, and intelligent communication networks. This paper presents a comprehensive analysis of emerging trends such as Fifth Generation (5G) communication systems, Internet of Things (IoT), Artificial Intelligence (AI)-enabled networks, Software-Defined Networking (SDN), optical communication advancements, and cybersecurity mechanisms. The combination of cloud computing, edge computing, and network virtualization which improve system flexibility, allow …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
-
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
-
E-Voting Application Using Blockchain
Abstract: Electronic voting (e-voting) is increasingly recognized as a method for improving the electoral process by enhancing security, accessibility, and efficiency. However, traditional e-voting systems present challenges, including security vulnerabilities, lack of transparency, and privacy concerns. This study presents an e-voting system powered by blockchain technology, designed to enhance decentralization, security, and protection against fraud. By leveraging blockchain’s features such as immutability, transparency, and cryptographic security, this model mitigates risks related …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 12–21 Read article
-
Design and Implementation of an IoT-based Traffic and Parking Management System Integrated with GIS for Urban Environments
Abstract: As urbanization accelerates, managing traffic flow and parking availability has become increasingly challenging. This article presents the design and implementation of an internet of things (IoT)-based traffic and parking management system integrated with geographic information systems (GIS) to address these challenges in urban environments. The proposed system utilizes a network of IoT sensors to monitor traffic flow, congestion levels, and parking space availability in real time. The data collected by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 23–32 Read article
-
Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article