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1037 articles for “real-time system”
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Automatic Medicine Dispenser Using QR Code
Abstract: The "Automatic Medicine Dispenser Using QR Code" revolutionizes healthcare by minimizing queue-related inconveniences through automated medicine dispensing. It integrates software for QR-based prescription management and hardware components like Arduino Mega 2560, IR sensors, and motors for precise dispensing. Additionally, it ensures real-time doctor notifications for medicine unavailability, enabling timely alternatives and uninterrupted patient care. The study comprises two teams, each dedicated to software and hardware development. On the software front, …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 22–29 Read article
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Vision Sense Rover
Abstract: This paper presents the design and implementation of an autonomous obstacle-avoiding robotic system utilizing an Arduino Uno microcontroller, an ultrasonic distance measurement module, a servo-based scanning mechanism, an L298N motor driver module, and an ESP32-CAM for real-time visual monitoring. The proposed system is developed to operate without human intervention, using sensor- driven decision making for navigation. The ultrasonic sensor continuously measures the distance to adjacent obstacles, while the servo motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 38–43 Read article
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Real-Time Edge Detection Camera Module Using Discrete Taylor Transform and Heat Equation (PDE): An Applied Mathematical Approach
Abstract: In modern digital signal processing, the capability for denoising and smoothing in real time is very important in scientific, engineering, and industrial applications. This paper presents an efficient hybrid framework that merges two mathematically sound methods, namely, DTT and PDE defined as the Heat Equation, to robustly denoise a signal with minimal distortion. The model addresses one of the most challenging tasks in signal restoration, which maintains the fidelity of …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Versatile CNC Machine for Tabletop Use Enhanced with Machine Learning Integration
Abstract: In the realm of tabletop multipurpose CNC machines, the integration of machine learning represents a groundbreaking advancement potentially revolutionary in the field of desktop manufacturing. This research explores the seamless incorporation of machine learning algorithms into tabletop CNC machines to enhance their capabilities, performance, and user experience. Through case studies and examples, we demonstrate the profound impact of machine learning integration in key areas of CNC machining, such as accurate …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 353–361 Read article
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Integrated Tactical Patrolling Stick
Abstract: The Integrated Tactical Patrolling Stick (ITPS) is a smart, multi-functional device developed to support military personnel and forest officers working in isolated and high-risk areas like border zones and dense jungles. It is equipped with a range of defensive and signaling features that enhance user safety and situational awareness during patrol duties. Among its key components are a flashing LED system combined with a siren for alert signals, a laser …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 23–31 Read article
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Automobile Collision Detection System Using GSM and GPS
Abstract: The accelerometer detects changes in the vehicle’s axis and the GSM module sends an alert message to the phone indicating the location of the event. Advanced technology makes our daily life easier. Because every coin has two sides, technology has both strengths and weaknesses. The development of technology has increased the number of traffic accidents, resulting in numerous deaths. The poor medical facilities that exist in our country exacerbate the …
Published in International Journal of Manufacturing and Production Engineering · Vol. 1, Issue 1, 2023 · pp. 15–19 Read article
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Smart Detection of Wild Animals in Residential Area
Abstract: In recent years, wild animals have been increasingly spotted in residential areas, posing risks to both humans and animals. The presence of these animals can cause accidents, damage to property, or even harm to the animals themselves. Therefore, it is important to have an effective method to detect wild animals in residential areas and ensure safety for everyone involved. This research focuses on creating a smart detection system that can …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 44–50 Read article
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Detection of VOCs in Enclosed Space Using a Sensor Array
Abstract: In an era where rapid industrialization and urbanization continue to shape our environment, ensuring the safety and well-being of individuals in enclosed spaces is of paramount importance. One of the key challenges in this endeavor is the detection of toxic gases and volatile organic compounds (VOCs) that can pose severe health risks if left undetected. So, the primary motive of this model is to design and implement a sensor array …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 8–13 Read article
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ArcGIS Applications in COVID-19 Spatial Epidemiology: A Comprehensive Systematic Review
Abstract: Addressing complicated community health concerns frequently necessitates the establishment of health practices. Professionals who study community health using information technology require a thorough framework. Health care professionals and authorities have had the ability to comprehend health-related geographical data and make timely judgments in different situations. In the field of epidemic disease prevention, including a viral spread model into a GIS is a popular issue. As a result, a GIS as …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 17–25 Read article
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Leveraging IoT for Real-Time Disaster Management: Enhancing Preparedness and Response Through Smart Monitoring
Abstract: Natural disasters, including floods, earthquakes, and wildfires, pose risks to human life, infrastructure, and the environment. Many of the technological innovations are there, but in managing such disasters, there still is room for inefficiencies resulting from communication delay, unavailability of real-time data, and poor coordination at times. The inefficiencies lead to response times that are too long, inappropriate allocation of resources, and increased vulnerability to the impacts of disasters. Integration …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 11–17 Read article
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IOT Based Monitoring and Controlling Substation Equipment
Abstract: The project ”IoT-Based Monitoring and Controlling Substation Equipment” revolves around utilizing the Internet of Things (IoT) technology to make the substation equipment electrical monitoring and control easy. Timely monitoring of these substation equipment is utmost important in ensuring the stable and reliable operation of the power distribution system. This project will design a system whereby sensors collect real-time data on the key parameters such as voltage, current, temperature, humidity, and …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 2, 2025 · pp. 53–58 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Sign Talk for Blind and Deaf Translating Hand Gestures into Audible and Textual Communication
Abstract: Sign language serves as a vital communication method for individuals who are deaf or have hearing impairments. It relies on hand gestures, facial cues, and body language to convey messages and express meaning. However, many people who do not know sign language find it hard to communicate with sign language users. The latest progress in artificial intelligence and computing has enabled the creation of systems that can automatically recognize sign …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 20–26 Read article
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Advances in Smart Cradle Design: Automation and Monitoring Systems for Infant Care
Abstract: With the hectic schedules of working parents currently, raising a baby has become difficult. The arduous juggling between career obligations and childcare responsibilities can strain the very limits of human capacity. The choices have historically been to entrust the child's care to either senior family members or hiring a dedicated infant carer in situations like these, where time's unrelenting passage leaves little time for a full 24-hour commitment to the …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 34–43 Read article
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Integrated Dam Automation: Real-Time Monitoring and Controlling Using IoT
Abstract: Dam automation is a critical area in water resource management, especially given the rising demand for sustainable and safe water control systems. An integrated approach to dam automation involves implementing advanced sensors and monitoring systems to improve structural safety, water quality, and resource management. This paper presents a comprehensive automation model that combines crack detection, convolutional neural networks (CNNs), water level monitoring, turbidity sensing, and rainfall data to ensure real-time …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 31–38 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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Data-Driven Digital Twin Model for Real-Time Strength Estimation in Polymeric Materials
Abstract: The real-time prediction of mechanical properties in polymeric materials is essential for ensuring quality, consistency, and operational efficiency in modern manufacturing systems. As industrial processes become increasingly complex, traditional trial-and-error approaches to material characterization are no longer sufficient to meet the demands of high-throughput production environments. This study introduces a digital twin-integrated machine learning approach for the real-time estimation of tensile strength in polymeric materials by combining simulation-driven insights with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 246–257 Read article
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Artificial Intelligence and Machine Learning Applications in Optimizing Air Conditioning Systems
Abstract: The growing demand for air conditioning systems, especially in the wake of climate change and increasing global temperatures, has led to a significant increase in energy consumption. This, in turn, contributes to the growing concerns of environmental sustainability and operational costs. As a result, there is a pressing need for innovative solutions to optimize the performance and energy efficiency of air conditioning (AC) systems. Artificial Intelligence (AI) and Machine Learning …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article