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520 articles for “ADAS technology”
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Hybrid Quantum-Classical Reinforcement Learning Enabled Thermal-Aware Electronic Design Automation Framework for Energy-Efficient Next-Generation VLSI Systems Applications
Abstract: Modern Very Large-Scale Integration (VLSI) systems are becoming more complicated, which has increased need for sophisticated Electronic Design Automation (EDA) frameworks that can concurrently optimise thermal behaviour, power consumption, and performance. This study proposes a Hybrid Quantum-Classical Reinforcement Learning (HQCRL) Enabled Thermal-Aware EDA Framework for next-generation energy- efficient VLSI systems. The proposed framework integrates quantum-inspired optimization techniques with classical reinforcement learning algorithms to address the challenges of placement, routing, and …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 10–22 Read article
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The Design and Analysis of a High Bandwidth Patch Antenna Loaded with Double-L shaped Parasitic and Super-Strate Components
Abstract: A patch antenna having parasitic components in the shape of a double-L. It is shown how to make a directional slot antenna using a parasitic patch and a windowed superstrate. The recommended antenna may readily obtain high-gain properties due to its composition. The suggested antenna's impedance bandwidth has been measured. Internet of Things (IoT) apps to make their data more accessible, wireless communication technology integration is required. This work proposes …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 2, 2023 · pp. 1–13 Read article
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Integration of Electrical Vehicles in Demands Response Program
Abstract: Demand Response (DR) schemes can benefit greatly from the assistance that Electric Vehicles can offer (EVs). Electric vehicles (EVs) can operate as a burden on the grid, a source of electricity for the grid, or a form of energy storage. Utilities are able to regulate EV charging time and tariffs, collect EVs-specific metre data, and conduct DR programmes as a result of the smart grid enabling technology. In order to …
Published in Trends in Electrical Engineering · Vol. 12, Issue 3, 2022 · pp. 20–29 Read article
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Review JoEDT N58 Open CPU-Based Milk Collection System
Abstract: The N58 Open CPU-based milk collection system is designed to enhance the efficiency and transparency of milk collection processes in rural and urban dairy operations. By integrating a computerized platform with open-source technology (Open CPU), the system enables real-time monitoring, automatic data logging, and streamlined milk collection from multiple sources. The system allows farmers to register and track their milk deliveries, monitor milk parameters such as fat content and volume, …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 17–23 Read article
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RTL-to-GDS Implementation of a High-Speed On-Chip 32:1 Serializer Using Open-Source Tools
Abstract: Exploring the RTL-to-GDS implementation of a high-speed on-chip 32:1 serializer, this study investigates the integration of open-source tools within VLSI design, emphasizing sustainable practices in the semiconductor industry while operating at the nanometer scale. Addressing methodologies for optimizing power consumption and chip area utilization, particularly focusing on efficient use of non-renewable resources. The study is set against the backdrop of advanced 7nm FinFET technology, critical for enabling efficient data transmission …
Published in Journal of VLSI Design Tools and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Design and Implementation of an Online Food Ordering System
Abstract: This study illustrates how the Online Food Ordering System has been tailored specifically to address the operational needs of Hotel Ambika, a semi-urban establishment. The system is designed to offer customers a smooth and interactive experience, allowing them to navigate through an organized menu, personalize their orders, and complete transactions with minimal effort. By using secure payment gateways and a virtual cart for easy order management, the system ensures a …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 106–115 Read article
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A Study on Precision Blood Propulsion in Motor-Driven Artificial Hearts
Abstract: The development of biocompatible, energy-efficient pumping mechanisms is pivotal for advancing artificial heart (AH) technology. This study explores a motor-driven centrifugal pump designed to replicate the physiological dynamics of natural ventricles while mitigating complications associated with conventional axial and pulsatile systems. The proposed system employs a brushless DC motor with closed-loop control, integrated with pressure and flow sensors to modulate rotational speed (RPM) and generate biomimetic cardiac output. The suggested …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 53–59 Read article
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REVIVE: An AI-Powered Medical Recommendation System for Optimised Resources and Improved Patient Care
Abstract: Dr. Revive is an AI-powered medical recommendation system designed to enhance virtual healthcare interactions by connecting patients, doctors, and healthcare stakeholders. Leveraging advanced machine learning algorithms, it analyses user-reported symptoms to provide initial medical recommendations, serving as a reliable first point of guidance. With access to a comprehensive medical database, the platform delivers accurate and timely advice, empowering patients while supporting healthcare professionals with data-driven decision-making. By offering a complete …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 3, 2024 · pp. 1–10 Read article
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Bio-Inspired Membranes in Oral Drug Delivery: A Pathway to Enhanced Permeability and Targeted Therapy
Abstract: Bio-inspired membranes in oral drug delivery represent a significant advancement in pharmaceutical technology, harnessing principles of natural biological systems to improve drug permeability, bioavailability, and targeted release. This review discusses the design, materials, and fabrication techniques used in bio-inspired membranes, with a focus on materials like chitosan, silk fibroin, and synthetic polymers that mimic biological structures. By exploring the mechanisms of drug permeation, such as mucoadhesion and selective permeability, bio-inspired …
Published in International Journal of Membranes · Vol. 1, Issue 2, 2024 · pp. 39–52 Read article
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Modelling of An Electric Tractor Powertrain using MATLAB/Simulink
Abstract: Lithium-ion battery pack technology is the current trend in the automotive industry. For this study, the authors have selected NMC 18650 lithium-ion cells to design a battery pack for electric tractors and simulating the electric tractor powertrain model to gauge and size the battery pack configuration parameters. The tractor parameters have been selected by comparing with some Indian and Japanese electric tractors. The simulation has been carried out using MATLAB/Simulink …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 2, 2021 · pp. 1–14 Read article
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Designing an Energy Efficient Induction Motor: Advanced Computational Intelligence Technique
Abstract: Abstract—This paper presents an advanced computational intelligence technique (CIT), modified particle swarm optimization (MPSO) for designing energy efficient three-phase induction motor (DEEIM) including active power loss effect. PSO performs well for small dimensional and less complicated problems but fails to locate global minima for complex multi-minima functions. Even if PSO algorithm is easy to implement and has been shown to perform well on various power system optimization problems, they may …
Published in Current Trends in Information Technology · Vol. 9, Issue 2, 2019 · pp. 5–13 Read article
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Application of Resource Allocation Similarity Based Link Prediction in Wireless Networks
Abstract: Link prediction in wireless networks plays a crucial role in predicting missing connections within multiplex networks. This study focuses on the utilization of similarity-based link prediction methods in wireless networks. These methods assume that the likelihood of linkage between nodes is determined by their similarity, based on shared features. Several similarity measures, such as Common Neighbors (CN), Preferential Attachment (PA), Adamic-Adar (AA), and Resource Allocation (RA) indices, are commonly employed …
Published in International Journal of Wireless Security and Networks · Vol. 1, Issue 2, 2023 · pp. 37–42 Read article
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Real-time Operating Systems in the Era of IoT: Challenges and Solutions for Time-Critical Applications
Abstract: Real-time operating systems (RTOS) are essential in the Internet of Things (IoT), as they ensure timely responses to events, which is critical for the performance and reliability of connected devices. This paper delves into the unique challenges faced by RTOS in IoT environments, highlighting issues such as limited computational resources, strict latency requirements, and the increasing need for robust security mechanisms. The resource constraints inherent in many IoT devices, which …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 13–24 Read article
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IoT-Based Public Toilet Monitoring System
Abstract: Public restroom maintenance is critical to urban hygiene and requires good resource management to secure hygiene, sustainability, and costs. This project presents the design and implementation of a real-time monitoring system for public restrooms, including IoT-based sensors, to measure key environmental factors, such as ammonia concentration, ambient light, and water level. The system can continuously monitor ammonia concentrations to detect poor air quality, opening an intervention window to remedy the …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 15–25 Read article
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Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges
Abstract: The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots' capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 31–43 Read article
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A review on Advanced Materials for Sustainable Innovation and Innovative Applications in Chemical Engineering
Abstract: High level materials assume a vital part in driving feasible mechanical headways across different enterprises. This comprehensive review paper aims to provide an in-depth analysis of the properties, synthesis methods, and potential applications of advanced materials, focusing particularly on nanomaterials, biomaterials, and smart materials. These materials exhibit unique characteristics that render them indispensable for a wide array of applications, spanning energy storage, environmental remediation, healthcare, and electronics. Nanomaterials, characterized by …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 1, 2024 · pp. 59–79 Read article
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Optimization Strategies for Finned-Tube Gas Coolers in CO2 Heat Pump Systems: A Review
Abstract: In order to reduce CO2 emissions through increased energy use flexibility, this article examines existing energy solutions. It focuses on demand-side management tools such as electric vehicles and heat pumps, as well as storage possibilities. The aim is to shift to sustainable energy sources by striking a balance between non-renewables (coal, gas) and renewables (solar, wind). This is demonstrated by the notable decrease in the usage of oil-fired boilers and …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
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Polymer Chemistry-Guided Development of Biomimetic Composite Scaffolds
Abstract: Polymer chemistry plays a fundamental role in advancing biomaterials for anatomical tissue engineering, particularly in the design of composite scaffolds that replicate the intrinsic characteristics of native tissues. The regeneration of damaged tissues, especially within anatomically complex structures such as bone, cartilage, and skin, necessitates biomaterials that closely emulate the hierarchical architecture and biological functions of native extracellular matrices (ECMs). The capacity to replicate both mechanical and biochemical cues of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 7–13 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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Nanoparticle and Lipid-Based Vaccine Delivery Systems: A Systematic Review of Platforms, Stability, Pharmacokinetics, and Immune Modulation
Abstract: The rapid evolution of vaccine technologies over the past decade has highlighted the transformative role of nanoparticle (NP) and lipid-based delivery systems in modern immunization practices. These platforms – including polymeric nanoparticles, lipid nanoparticles (LNPs), liposomes, nanoemulsions, and solid lipid nanoparticles (SLNs) – enable enhanced antigen stability, improved cellular uptake, targeted antigen delivery, and potent immune activation. This systematic review critically examines the physicochemical foundations, manufacturing approaches, stability challenges, pharmacokinetic …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 1, 2026 · pp. 18–36 Read article