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1984 articles for “Re- timing” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Smart Grid: New Era of Electric Energy System
Abstract: AbstractIn this paper, we are presenting the idea of new era of electric energy system with the help of smart grid. It is a network of power generation, transmission lines, substations, consumers and the one important in this is feedback loop. This all together makes an effective smart grid. This paper tells about what steps taken by government to improve our technologies with the help of smart grid. We are …
Published in Recent Trends in Sensor Research & Technology · Vol. 6, Issue 3, 2019 · pp. 28–31 Read article
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Smart Tracks: Navigating Urban Transit with IoT-enabled Bus Networks
Abstract: Public transportation is a lifeline for countless individuals globally, providing essential connectivity for daily commutes to work and school. However, numerous challenges such as bus delays and inefficient space on the buses often hinder the travel experience. It's crucial to resolve these issues to achieve an efficient public transport system. A promising solution lies in the adoption of an IoT-based application. With this technology, one can track the real-time location …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 1–8 Read article
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The Future of Robotics: A Review of AI-Enabled Robotics Research, Development, and Applications
Abstract: Robotics powered by artificial intelligence (AI) is transforming contemporary industries by empowering machines to learn, adapt, and operate on their own in intricate, changing contexts. The breadth and capabilities of automation have been greatly expanded by the convergence of AI technologies with robots, including machine learning, deep learning, computer vision, and natural language processing (NLP). With an emphasis on technological advancements, application areas, and research advances, this study examines current …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Optimizing Lean Manufacturing Through Kanban: Enhancing Efficiency and Safety in Industrial Operations
Abstract: Lean manufacturing aims to maximize productivity while minimizing waste, and one of the most effective techniques to achieve this is the Kanban system. Derived from the Japanese term meaning "signboard," Kanban provides a structured approach to inventory control and production scheduling by specifying what, when, and how to produce based on real-time demand. When properly implemented, the Kanban system enhances efficiency, reduces excess inventory, and improves workflow coordination, leading to …
Published in Journal of Industrial Safety Engineering · Vol. 12, Issue 1, 2025 · pp. 37–42 Read article
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Safety braking system to avoid the failure in air brake Hoses
Abstract: The braking system represents one of its most important components of any vehicle, as a failure can result in devastating accidents. This study describes the design and development of an Air Brake Hose Failure Detection and Safety Braking System to address the problem of brake failure in big vehicles. The system monitors the condition of air brake hoses in real-time and provides audio-visual alerts to the driver in case of …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 51–55 Read article
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The Integration of AI Technologies in Automating Cyber Defense Mechanisms for Cloud Services
Abstract: The swift growth of cloud computing has transformed how organizations handle and store data, providing greater scalability and adaptability. However, the transition to cloud-based environments has heightened the complexity of cybersecurity challenges, especially in detecting and responding to security incidents. Conventional methods of incident response, which heavily depend on manual efforts, are no longer adequate to address the rapidly evolving and complex nature of modern cyber threats. This study explores …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 1, 2025 · pp. 1–14 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Automated Vehicle Entry Monitoring System Using YOLOv5
Abstract: This project showcases an innovative You Only Look Once (YOLO) object detection model-based Automated Vehicle Entry Monitoring System for community gates. By using YOLO, the system transforms conventional access control paradigms by accurately and in real-time detecting vehicles that are seeking to gain entry. Unlike traditional approaches, the project leverages YOLO's effectiveness in vehicle recognition, classification and Number Plate Detection to improve residential security. By providing communities with a cutting-edge …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 34–38 Read article
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Coupled Magneto–Thermal–Diffusion Transport in an Unsteady Maxwell Polymer Fluid with Activation Energy over a Porous Stretching Surface
Abstract: The present study investigates the combined effects of activation energy and diffusion-thermo (Dufour) processes on unsteady magnetohydrodynamic (MHD) flow, heat, and mass transfer of a Maxwell viscoelastic fluid past a porous exponentially stretching vertical sheet. The electrically conducting and incompressible polymeric fluid flows through a saturated porous medium under a transverse magnetic field. The governing momentum, energy, and concentration equations are transformed into nonlinear ordinary differential equations using similarity transformations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 581–590 Read article
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A Study on Recent Trends in Chemical Sensors for Detecting Toxic Materials
Abstract: Poisonous materials, such as mutagenic, carcinogenic, and poisonous compounds, are widely produced as a result of industrial development. Such materials continue to be hazardous to human health despite stringent management and control procedures. As a result, practical chemical sensors—such as optical, electrochemical, nanomaterial-based, and biological system-based sensors—are needed for the monitoring of dangerous chemicals. For the detection of harmful compounds, numerous new and existing chemical sensors are being created, along …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 3, 2025 · pp. 26–35 Read article
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Polymer Composite-Enabled UAV Platform for Edge AI-Based Precision Agriculture: A System-Level Evaluation
Abstract: This study investigates the system-level role of commercially available polymer composite materials in enabling lightweight and energy-efficient unmanned aerial vehicle (UAV) platforms integrated with edge artificial intelligence for real-time agricultural monitoring. Rather than developing or experimentally characterizing new composite materials, the work evaluates fiber-reinforced polymer (FRP) composites and epoxy-based laminates as enabling structural components whose established properties support UAV performance in precision agriculture. Their high strength-to-weight ratio, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 218–240 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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AI based Assistive glasses for visually impaired persons
Abstract: There been a lot of change in tools for assisting visually impaired persons from simple analog tools to digital sensor-based devices. In this paper we have designed an AI- based smart assistive glass which can detect objects, read text their nature, distance and give feedback through audio output in real time. This system stores visual data and with use of object recognition it analyzes surroundings.Besides,VL53L0X TOF mea- sures accurate distance …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 2, 2026 · pp. 22–29 Read article
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YOLOv8 in Focus: A Review of its Application in Driver Monitoring Systems
Abstract: This research presents a novel Driver Monitoring System (DMS) that utilises Convolutional Neural Networks (CNNs) to achieve remarkable results. Specifically, the YOLOv8 (You Only Look Once version 8) detection technique is used. The main goal is to increase road safety by using cutting-edge computer vision techniques to analyse driver behaviour in real-time. The YOLOv8 detection method, a cutting-edge CNN model renowned for its precision and effectiveness in object recognition, is …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 35–40 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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An Analytical Study on Cybersecurity Threats and AI-Driven Mitigation Strategies in Next-Generation Smart Grids
Abstract: The increasing adoption of next-generation smart grids has introduced significant cybersecurity challenges due to their reliance on interconnected digital infrastructures and IoT-based control mechanisms. This study aims to analyze cybersecurity threats in smart grids and explore AI-driven mitigation strategies to enhance grid security and resilience. The research examines common cyber threats such as malware attacks, denial-of-service (DoS), data breaches, and insider threats while evaluating the effectiveness of AI-based solutions, including …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 16–25 Read article
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Digital Transformation in Public Transport Management
Abstract: The digital transformation of public transport systems has emerged as a critical driver for improving urban mobility and addressing the growing challenges of congestion, inefficiency, and environmental sustainability. Public transport management systems are advancing through the integration of cutting-edge technologies like cloud computing, artificial intelligence (AI), big data analytics, and the Internet of Things (IoT). These innovations enhance efficiency, intelligence, and user experience, making transportation more seamless and responsive to …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 17–21 Read article
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Dynamic Simulation of Load-Responsive Vapor Compression Refrigeration Systems
Abstract: Because of their dependable operation and effectiveness, vapor compression refrigeration systems, or vapor compression refrigeration (VCRS), have become popular in commercial, industrial, and residential settings. However, under different thermal loads, classic vapor compression refrigeration (VCR) systems may perform less well in that they are usually built for steady-state conditions and run at consistent speeds. In order to improve a load-responsive VCR system’s flexibility, energy efficiency, and response to changing cooling …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 2, 2025 · pp. 32–37 Read article
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Design Principles and Applications of Virtual Telepresence Robots: A Comprehensive Review
Abstract: The primary objective of this project is to develop an advanced virtual telepresence robot system that facilitates remote communication and collaboration in various environments. Through the integration of cutting-edge robotics, sensing, and communication technologies, our virtual telepresence robot enables real-time interaction between users located at different physical locations. This technology combines wireless connectivity, robotics, and user interfaces to provide people with an immersive experience. This study explores the development, functionality, …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 1, 2024 · pp. 11–18 Read article
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Advance Smart Energy Meter
Abstract: The Advance Smart Energy Meter is a system designed to provide users with real-time data on their energy consumption through an analog meter. The system uses an Arduino, GSM module, and ESP8266 to gather data, send SMS alerts to the user, control home appliances remotely, and update a MySQL database in real time. A voltage sensor and current sensor are used to measure the voltage and current of the circuit, …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 1, 2023 · pp. 38–43 Read article