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1919 articles for “Re- timing” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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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
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Custom Hand-Gestured Controlled Video Game using RGB Camera
Abstract: Video gaming is a rapidly evolving form of entertainment introducing young minds into the field and increasing competition within the industry. Due to the requirement of high-level passionate experience among players, game designers are forcing to create more realistic and enjoyable game plans. Gesture-based Monitoring (GM) in Human-Computer Interaction (HCI) plays a crucial role in increasing player’s enjoyment and delight during game play and chosen as a more significant modality. …
Published in Journal of Instrumentation Technology & Innovations · Vol. 12, Issue 3, 2022 · pp. 20–29 Read article
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E-rationing System Using Microcontroller, RFID and GSM
Abstract: These papers represent the Literature Survey on E-Rationing Systems reveals the pivotal role of microcontroller, RFID, and GSM integration in modernizing ration distribution. The system employs RFID tags for beneficiary identification, ensuring efficient tracking and authentication during ration distribution. A microcontroller manages data processing and inventory control, while GSM communication enables real-time updates and notifications to authorities and beneficiaries. The proposed system aims to enhance transparency, reduce manual errors, and …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 25–30 Read article
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Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence
Abstract: The increasing demand for sustainable and autonomous environmental monitoring systems has motivated the development of biologically integrated sensing technologies that combine living organisms with advanced cybernetic intelligence. This study proposes a novel framework of Photosynthetic Living Plant–Integrated Cybernetic Sensors for Autonomous Environmental Intelligence, where living plants act as self-sustaining sensing platforms capable of continuously monitoring environmental conditions without external energy sources. By integrating bioelectrical signal acquisition modules, flexible nanomaterial electrodes, …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Cognitive Polymer Composite Systems for Autonomous Biomedical Response
Abstract: Cognitive polymer composite systems: A novel form of intelligent biomaterials with the capability to sense, process and respond to real time physiological stimuli on their own. The present paper offers a comprehensive platform to integrate stimulus responsive polymers with intrinsic sensing networks and learning based decision models to offer adaptable bio-medical solutions. Mathematical formulations are available that are used to model stimulus response behavior, sensor signal processing and cognition decision …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Method: A Comprehensive Review
Abstract: Structural health monitoring (SHM) has a critical role in ensuring civil infrastructure safety, reliability, and durability through real-time, condition-based monitoring. Traditional SHM systems employ hundreds of sensors such as accelerometers, strain gauges, and displacement transducers for monitoring vast amounts of data for structural inspection, but do not effectively manage complicated nonlinear data. This research paper, “Optimization of Structural Health Monitoring Using Artificial Neural Network and Comparison with Traditional Methods,” investigates …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 23–33 Read article
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Internet of Things in Smart Grid: Applications, challenges, Conditions, Architecture- A Review
Abstract: Future-generation intelligent optimisation in electrical system design is essential for managing electrical networks and distribution systems. It also requires interoperability variations in the implementation of physical or graphical models. The Internet of Things (IoT) plays a significant role in smart grids and distributed electricity systems. IoT enables the monitoring of the smart grid's electrical energy and facilitates the integration of real-time data into electrical grid architecture at various levels. Industrial …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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SkinSight: Design and Implementation of an Intelligent Skin Type Detection System
Abstract: Identifying an individual’s skin type accurately is essential for creating personalized dermatological treatments and formulating skincare products that genuinely meet user needs. In this project, a real- time skin type classification system is developed using a combination of convolutional neural networks (CNNs) and modern computer vision techniques. The system processes live video streams, isolates the facial region through Haar cascade–based detection, and applies a series of preprocessing steps to enhance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 35–45 Read article
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Improvising on Demand Protocol to Improved Energy Utilization in Wireless Sensor Network
Abstract: AbstractIn the 21st century, the advancement in technology is the wireless networks. In wireless networks, intelligent sensors are deployed in a physical area called as WSN (Wireless Sensor Network). All the sensor nodes are attached to a network and batteries are needed to provide energy to the nodes. Batteries may be in charged or discharged mode. During communication of all the sensor nodes, lot of energy is consumed. The main …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 22–29 Read article
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A Survey on Image Forgery Detection Techniques Using Machine Learning Approaches
Abstract: With the advent of newer technologies and usage of data in various service fields like education, commercial and healthcare, etc. The possibility of tampering and altering the data in the form of media like images is easily seen to derive various illegitimate benefits and outcomes. The rapid advancements in technology and the increased utilization of data in various service sectors such as education, commerce, healthcare, etc., have raised concerns about …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 17–26 Read article
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
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Digital Twins in Human Anatomy and Physiology Education: Current Status and Future Perspectives
Abstract: Digital Twin (DT) technology has emerged as a promising innovation in healthcare by creating dynamic virtual representations of physical systems through the integration of artificial intelligence (AI), computational modeling, real-time data, and advanced visualization technologies. Although DTs have been widely investigated in precision medicine and clinical decision-making, their application in Human Anatomy and Physiology (HAP) education remains in its early stages. This review aims to examine the current status, educational …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 3, 2026 Read article
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Surveillance Car Using ESP32 CAM with Tilt, Pan, and Zoom Capabilities
Abstract: This project focuses on developing a mobile surveillance robot using a Wi-Fi-enabled module controlled via a smartphone, designed for discreet observation and remote monitoring. The spy robot system includes essential hardware such as a camera, motor drivers, batteries, and wheels for movement. The main component is the AI Thinker ESP32-CAM module, equipped with an ESP32-S processor and OV2640 camera, capable of image storage through its microSD card slot. Live video …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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A Module to Connect Different Sensors to The Existing Varun Main Controller Device
Abstract: This research paper presents the development of a sensor interface module that expands the data acquisition capabilities of existing Varun main controller devices. Traditional agriculture frequently makes decisions based on past performance, which can result in inefficiencies and have an adverse effect on the environment. By utilizing sensor technology and data analysis, precision agriculture presents a possible option. This method gathers real-time data on a range of agricultural factors by …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 3, 2023 · pp. 30–43 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Monitoring and Safety of Aircraft using Wireless Technology
Abstract: Traditional aircraft sensor networks, burdened by wire complexity and high-power demands, struggle with scalability and real-time data acquisition. This paper proposes Bluetooth Low Energy advertising as a transformative solution, leveraging its lightweight, energy-efficient, and secure nature within tree network architecture. Sensors broadcast data packets picked up by strategically placed gateways, enabling efficient data dissemination through multi-hop relaying. The approach boasts scalability due to minimal hardware and power requirements, leading to …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 2, 2023 · pp. 14–21 Read article