real-timesystems are commonly used in safety-critical applications which require tasks to be completed before their deadlines, even in the presence of faults. thus, fault tolerance becomes essential to ensure a certa...
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Digital services enable users to interact with a broad range of applications and, as such, have become an essential part of our daily lives. Although convenient, their ubiquity comes at a significant cost in energy, r...
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the Artificial DNA (ADNA) and Artificial Hormone System (AHS) together form a middleware that uses Organic computing techniques to improve the robustness and adaptability of distributed embeddedsystems. these systems...
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ISBN:
(纸本)9783031661457;9783031661464
the Artificial DNA (ADNA) and Artificial Hormone System (AHS) together form a middleware that uses Organic computing techniques to improve the robustness and adaptability of distributed embeddedsystems. these systemsthen have the properties of self-organization, self-healing, self-configuration and self-improvement. However, the adaptability of the system is limited by the rigidity of the ADNA, since it cannot be modified at runtime. Recent research approaches already assume the existence of a modifiable ADNA in their applications without actually implementing it or evaluating its behavior. In this paper, we present two crucial steps to extend the ADNA withthe ability to allow run-time modifications. First, we describe the possible modifications that can be made at runtime, and how they can be implemented without making significant changes to the ADNA implementation. Second, we provide an experimental evaluation of this new feature and contextualize its behavior within the framework of traditional ADNA.
Cerberus uses face detection in edge devices to perform privacy-preserving crowd counting and localisation. We describe its deployment in a university setting where ceiling-mounted cameras perform real-time face detec...
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ISBN:
(纸本)9798400705397
Cerberus uses face detection in edge devices to perform privacy-preserving crowd counting and localisation. We describe its deployment in a university setting where ceiling-mounted cameras perform real-time face detection to report occupied seats without storing or transmitting images. Cerberus' aim is ultimately to integrate with digital twins over a LoRa network enabling data visualisation and support applications in building informatics, while balancing data accuracy and individual privacy. the paper describes the system's design, deployment, and potential for broader urban informatics applications, highlighting its effectiveness in privacy-preserving crowd monitoring.
Hyperdimensional computing (HDC) is a novel computing framework that has gained significant attention for its ability to accelerate machine learning algorithms. Its fast learning and inference capabilities make it an ...
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this paper presents a rapid and scalable implementation of an embedded model predictive control (MPC) on a field-programmable gate arrays (FPGA) using a high-level synthesis (HLS) tool. this solution enables a real-ti...
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In the pursuit of precision agriculture, the integration of artificial intelligence (AI) for real-time plant disease detection holds a significant promise. this study investigates the application of edge computing on ...
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Unpredictable variation in execution times due to contention in shared hardware resources in integrated CPU-GPU multicore platforms remains a major challenge for safety-critical real-timesystems. We present BandWatch...
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A dual-OS platform can efficiently implement emerging mixed-criticality systems by consolidating a real-time OS (RTOS) and a general-purpose OS (GPOS). Although the dual-OS platform attracts increasing attention, it o...
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ISBN:
(数字)9781665453448
ISBN:
(纸本)9781665453448
A dual-OS platform can efficiently implement emerging mixed-criticality systems by consolidating a real-time OS (RTOS) and a general-purpose OS (GPOS). Although the dual-OS platform attracts increasing attention, it often suffers from energy inefficiency in the GPOS for guaranteeing real-time responses of the RTOS. this paper proposes an energy minimization method called DVFS virtualization, which allows running multiple DVFS policies dedicated to the RTOS and GPOS, respectively. the experimental evaluation using a commercial processor showed that the proposed hardware could change the supply voltage within 500 ns and reduce the energy consumption of typical applications by 60% in the best case compared to conventional dual-OS platforms.
this study presents a lightweight deep learning model developed for DPU-accelerated systems. It aims to provide real-time autonomous driving on resource-constrained systems such as the Ultra96v2. A customized kids ele...
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