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501 articles for “Real-time computing”
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JATAYU: A Stereo Vision–Based UAV for Autonomous Navigation and Human Following in GPS-Denied Environments
Abstract: Traditional unmanned aerial vehicle (UAV) systems primarily rely on Global Positioning System (GPS)-based navigation and conventional computer vision techniques. However, these approaches face significant challenges in GPS-denied environments, such as dense urban areas, indoor spaces, and disaster-affected regions where GPS signals may be weak, unavailable, or unreliable. In addition, limitations in real-time processing, object detection accuracy, and environmental perception can reduce UAV effectiveness in dynamic and unpredictable situations. This paper …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 30–38 Read article
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Recent Advances in Face Recognition Techniques: A Survey
Abstract: Face recognition has been a challenge for applications with real time implementation. Though significant advances have already been made in the past decade but it’s affectivity against the uncontrolled environments like partial occlusion, illumination problem and pose estimation have fallen drastically. The previous studies used various methods and soft computing tools for a learning based approach towards overcoming the enlisted challenges. Thus, in this paper we investigate the principal techniques …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 1, 2015 · pp. 19–24 Read article
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A Neuromorphic-Inspired, Low-Power VLSI Architecture for Edge AI in IoT Sensor Nodes
Abstract: As the proliferation of Internet of Things (IoT) devices continues to rise, there is an increasing demand for real-time, energy-efficient artificial intelligence (AI) processing directly at the network edge. Traditional edge AI accelerators, often based on deep learning models like convolutional neural networks (CNNs), struggle to meet the ultra-low-power requirements of battery-constrained IoT sensor nodes. In response to this challenge, this study introduces a neuromorphic-inspired, low-power very- large-scale integration (VLSI) …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 41–47 Read article
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Implementation of Base Line Interferometry Algorithm for Direction Finding
Abstract: The Electronic Warfare (EW) receiver aims to intercept the Radar signal and analyze its characteristics like Frequency, Pulse Width (PW), Pulse Repetition Interval (PRI), Amplitude and also its Direction of Arrival (DOA). The Radar signal is in the range of 0.5 to 40 GHZ this will be down converted using super-heterodyne receiver as front end. The Intermediate Frequency (IF) from front end in the range of 750 to 1250 MHZ …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 2, 2015 · pp. 21–24 Read article
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Visionary Fusion: Empowering Robot Sight with Model-driven Multi-band Enhancement
Abstract: Single image enhancement is crucial for improving visual quality in applications like robot vision. This study proposes a novel topic-model assisted multi-band image fusion method to enhance a single input image while preserving semantic information. The key innovation is using topic models for adaptive band fusion based on image content. Comparative experiments on benchmark datasets demonstrate that the proposed technique outperforms state-of-the-art methods in quantitative and qualitative evaluation. This study …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 11–19 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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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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Recent Advancements of Internet of Things in Electric Power Industry
Abstract: AbstractElectric power industry is undergoing a revolution to supply clean distributed energy for sustainable growth. Internet of Things (IoT) is playing a vital role in the development of power sector, which includes smart metering, intelligent control, real time monitoring and security. In addition, the use of IoT enables significant improvement in power management and energy depletion. The use of IoT ensures trivial growth and development opportunities in the electric power …
Published in Journal of Communication Engineering & Systems · Vol. 9, Issue 1, 2019 · pp. 30–34 Read article
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Edge computing: Applications, Challenges and Opportunities
Abstract: Internet of things is a broad term used to describe how the physical things in real life are connected to each other via the logical network. The data generated by these things is stored on the infrastructure called as the cloud. Cloud computing is rapidly moving towards providing the better cloud services to its end users. Some time-critical applications cannot tolerate the high latency of cloud computing. These circumstances gives …
Published in Journal of Computer Technology & Applications · Vol. 9, Issue 3, 2018 · pp. 1–4 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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CFD Analysis of 4-Stroke Engine: A Review
Abstract: Normal 0 false false false EN-IN X-NONE X-NONE To analyze 4-stroke engines, the method of computational 3D and 1D simulation is efficient and reliable. However, there is big scope as far as complexity of 3D CFD analyses that will be replaced by easily adoptable 1D-analysis. The issue that needs to focus is the correlation between real time cylinder gas composition and the composition of the exhaust flow, which is to …
Published in Trends in Mechanical Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 14–17 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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Enhancing Road Safety: A System for Vehicular Accident Detection, Prevention, and Rescue Alerts
Abstract: The Vehicular Accident Detection, Prevention, and Rescue Alert System is a comprehensive solution aimed at bolstering road safety by integrating multiple advanced technologies. It merges drowsiness detection, alcohol level monitoring, and instant emergency alerts to mitigate accidents and expedite rescue efforts. Modern computer vision and machine learning techniques are used by the Drowsiness Detection Alarm to track driver conduct and spot drowsiness indicators. Upon detecting drowsiness, an immediate alarm is …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 7–11 Read article
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Industry 4.0 and Smart Manufacturing: A Review
Abstract: This review looks at Industry 4.0 and smart manufacturing's idea, enabling technologies, implementation issues, and future prospects. Drawing on recent literature, the paper synthesizes key pillars such as the Industrial Internet of Things (IIoT), cyber-physical systems (CPS), artificial intelligence, digital twins, and additive manufacturing. It highlights integration requirements across supply chains, cyber security concerns, workforce implications, and standards activities that influence adoption. The literature survey focuses on empirical studies and …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 14–17 Read article
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Optimizing Tourist Mobility with Dijkstra’s Algorithm: A Review on Pollution Reduction through Smart Path Planning
Abstract: Although Tourism helps the economy, but it can also harm the environment, especially in popular tourist destinations. Optimizing routing is one way to reduce these environmental effects. This review paper examines how the well-known and traditional Dijkstra's method for shortest path computation is used to pollution management and support sustainable tourism. The study explores how intelligent traffic routing can minimize traffic congestion in environmentally sensitive areas and lower fuel consumption …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 20–29 Read article
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The Future of Electronic Communication Systems in the Digital Age
Abstract: Electronic communication networks underpin modern society, offering seamless interaction across geographical, social, and economic borders. These systems are transforming into faster, more reliable, and smarter ones as digital technologies improve. This article discusses the future of Electronic Communication Systems in the context of 5G Technology, IoT, AI, and Quantum Communication. These technologies should revolutionise data transfer by increasing capacity, lowering latency, and enabling real-time communication across platforms. Due to need …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 39–48 Read article
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NoSQL Databases- Analysis, Techniques, and Classification
Abstract: In recent years in big data and real-time web applications, NoSQL database solutions are gaining popularity in handling massive increase in size of data storage. The design of traditional relational database management systems makes it difficult for them to take advantage of virtually unlimited processing power and economical storage available via cloud computing. In contrast to this NoSQL databases support dynamic schemas, auto-sharding, automatic replication and integrated caching capabilities prominently …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 13–24 Read article
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Exam Eval: An Automated Model for Correcting Exam Papers Using OCR and Text Summarization
Abstract: In the realm of education, grading and correcting exam papers can be a time-consuming and often daunting task for teachers. To streamline this process and provide more efficient feedback to students, this project aims to develop a model that leverages advanced techniques in natural language processing (NLP) and computer vision. The primary objective is to correct exam papers by summarizing the handwritten answers provided by students, incorporating Optical Character Recognition …
Published in Journal of Web Engineering & Technology · Vol. 10, Issue 3, 2023 · pp. 23–28 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article