This paper explores the utilization of OpenCV (Open-Source Computer Vision Library) in artificial intelligence (AI) systems, elucidating its pivotal role in advancing various applications across diverse domains. OpenC...
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In this paper, we address the fast finite-time stability problem for a class of uncertain stochastic nonlinear systems. The dead-zone phenomenon is a general and complex challenge in the field of nonlinear systems, wh...
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The rapidly evolving new concepts of the 6G technology raise the challenge of assessing how well 6G-enabled system-of-systems architectures perform in real-life situations beyond theories and simulations. To facilitat...
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ISBN:
(纸本)9798350358810;9798350358803
The rapidly evolving new concepts of the 6G technology raise the challenge of assessing how well 6G-enabled system-of-systems architectures perform in real-life situations beyond theories and simulations. To facilitate this, a new Visual Metaphor layer is presented in this paper to add the visualization feature for a system-of-systems Digital Twin (DT). Visual metaphor plays a crucial role in assisting network engineers to comprehend complex 6G concepts through intuitive visual representations. Powered by an immersive Augmented reality (AR) based on laser projection system, the metaphor framework seamlessly projects the simulated environments into reality and vice versa. Thus, it bridges the gap between theoretical development and practical implementation. Furthermore, it features a plug-andplay solution to accommodate the validation of integrated systems and applications easily. To validate the performance and show the flexibility of the visual metaphor layer, we perform three case studies from the application contexts of teleoperation, platooning, and intralogistics. The results show that the visual metaphor can visualize internal network states, such as communication links, as well as virtual objects and other environmental features. The metaphor can accomplish these diverse and modular tasks while preserving an overall system response time of 55 ms in large-scale scenarios with up to 40 robots.
The effective coordination of attacks between malicious actors and compromised devices via Command and Control (C&C) communication channels presents a substantial cybersecurity threat. These channels often exploit...
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Vision-guided pick and place systems have revolutionized various industrial and robotic applications by enabling efficient automation and enhancing productivity. This paper introduces a vision-guided pick and place sy...
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time Sensitive Networking (TSN) is a technology for deterministic networking that constantly gains momentum. Precise time synchronization is a prerequisite for TSN systems. This paper presents results of research on t...
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In today's digital age, effective surveillance and anomaly detection systems are crucial. YOLOv5, a cutting-edge real-time object detection model that stands out for its remarkable speed and accuracy, making it id...
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The exponential growth of urbanization has intensified the need for effective noise reduction techniques in urban soundscapes. This paper introduces an innovative approach employing Adaptive Neuro-Fuzzy systems (ANFS)...
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Identifying and locating objects in images and videos, including elements like traffic signs, vehicles, buildings, and people, constitutes a fundamental and demanding task in computer vision, known as object detection...
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ISBN:
(纸本)9783031821523;9783031821530
Identifying and locating objects in images and videos, including elements like traffic signs, vehicles, buildings, and people, constitutes a fundamental and demanding task in computer vision, known as object detection. Due to the higher computing complexity of this technique and the large amount of data carried by the video signal, it is nearly impossible for ordinary general-purpose processors GPPs or CPUs to run these techniques in real-time, especially for embeddedsystemsapplications. Therefore, special hardware that can acquire, control, or execute in parallel is required. These specialized hardware systems include Digital Signal Processors DSPs, Field Programmable Gate Arrays FPGAs, Visual Processing Units VPUs, Tensor Processing Units TPUs, Neural Processing Units NPUs or Graphics Processing Units GPUs. This work presents the benefits of accelerating traditional object detection methods on a high-end embedded system, the Jetson Nano Developer Kit. This single computer board is equipped with the Tegra K1 System on Chip SoC, which is composed of a quad-core ARM A15 and 192 cores of Kepler-embedded GPU. computing acceleration was ensured via the use of the CUDA OpenCV library for both the Histogram of Oriented Gradients HOG and the Haar Cascade Classifier. For VGA resolution, results reveal that the GPU implementation on this embedded system is 1.4x faster than the CPU for the HOG method and 2x for the Haar Cascade Classifier method.
Fire disasters are the most dangerous and lethal events that can cause social, economic, life losses. Early detection of fire or smoke is crucial to facilitate intervention in time to avoid large-scale damage. Hence, ...
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ISBN:
(纸本)9783031126994;9783031127007
Fire disasters are the most dangerous and lethal events that can cause social, economic, life losses. Early detection of fire or smoke is crucial to facilitate intervention in time to avoid large-scale damage. Hence, the effective utilization of embedded devices enhances the performance of the overall surveillance system. We proposed an efficient, low-cost, real-time, memory-optimized method for surveillance systems using the YOLOv4-tiny model for early fire and smoke detection. The proposed method provides the implementation of fire and smoke detection systems for real-world applications where the model could run on low-cost hardware like 1.44 GHz processor devices. The experimental results show that the developed surveillance system can detect fire and smoke in real-time.
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