one of the possible approaches to assessing the reliability of real-timeembeddedsystems software is substantiated;the features of the system functioning, criteria and metrics are specified. There are a lot of framew...
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real-time data processing is facing many issues as a result of the Internet of Things' rapid expansion, especially at the network's edge where latency, bandwidth, and compute resources are limited. The creatio...
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Coordinating multiple robots is crucial for various real-life applications. Many Multi-Agent Path Finding (MAPF) algorithms have been proven to be successful in addressing this challenge. Nevertheless, some problems, ...
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ISBN:
(纸本)9798350377712;9798350377705
Coordinating multiple robots is crucial for various real-life applications. Many Multi-Agent Path Finding (MAPF) algorithms have been proven to be successful in addressing this challenge. Nevertheless, some problems, such as unexpected delays during navigation, commonly arise when handling high-level abstractions, potentially leading to failures or collisions in live executions. This paper proposes k-Robust Continuous-time Conflict-Based Search (kR-CCBS), a novel algorithm that overcomes some of these limitations. Our approach offers path planning with continuous time, leading to more precise routes than discrete time approaches. Additionally, we increase safety by incorporating k-robustness, enabling the system to adapt to agent failures due to delays and minimize collision risks. Comparative evaluations demonstrate that kR-CCBS outperforms similar works in effectiveness while maintaining reasonable costs, making it a promising solution for real-world multi-agent coordination scenarios.
Safety-critical real-timeembeddedsystems are becoming difficult to model and analyze as they accommodate more and more functionalities, and they rely on more and more complex HW and SW implementations. One of the ma...
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ISBN:
(纸本)9798350396355
Safety-critical real-timeembeddedsystems are becoming difficult to model and analyze as they accommodate more and more functionalities, and they rely on more and more complex HW and SW implementations. One of the main difficulty with such systems is to find the right coupling between the task model and the analysis method. Indeed, if the task model is too simple it may add pessimism to the result of the analysis, and it may not be possible to prove the correctness of the systems. If the model is too complex, the analysis may be not efficient enough to be usable;or worst the model may have an incomplete method only or no method at all, so the system cannot be analyzed. Finding, the right couple task model analysis method is a balance between expressiveness and analysis efficiency. In this article, we introduce a new graph real-time task model (noted GGTM) which has been used for several years for the deployment and the analysis of different embeddedsystems. We discuss its expressiveness compared to the literature and demonstrate its advantages. We also, present a decidable and efficient, exact schedulability analysis.
The rapid expansion of the Internet of Things, wireless sensor networks, and robotics applications have established embeddedsystems as a fundamental component of modern computing. Despite this growth, optimizing powe...
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ISBN:
(纸本)9798331517663;9798331517670
The rapid expansion of the Internet of Things, wireless sensor networks, and robotics applications have established embeddedsystems as a fundamental component of modern computing. Despite this growth, optimizing power consumption and computing resources remains critical. Traditional embedded platforms often struggle with fixed hardware configurations that limit their adaptability and efficiency. To address these issues, this paper presents a novel adaptive processor architecture based on RISC-V ISA which introduces reconfigurable execution regions capable of supporting mixed-precision operations (16/8/4-bit). These reconfigurable execution regions execute and continuously adapt to varying precision and operational demands triggered by custom RISC-V instructions that activate the desired region at specific precision levels. The reconfiguration process is managed through dynamic function exchange (DFX) targeting AMD/Xilinx XCZU7EV FPGA device. The evaluation demonstrates that the modified core efficiently utilizes FPGA resources, with 6,396 LUTs and 2,679 FFs allocated, and operates with a dynamic power consumption of 24 mW at 50 MHz. The reconfiguration time is 76 ms for each reconfiguration execution region, incorporating the overhead required for reconfiguration management and control. These results highlight the core's potential to allow the realization of RISC-V-based reconfigurable cores without degrading performance and energy efficiency for embeddedapplications.
Mitigating the risks posed by Random Hardware Failures (RHFs) is crucial to prevent data corruption and Control Flow Errors (CFEs) in embeddedsystems. This paper addresses these concerns through the application of So...
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Advancements in autonomous driving technologies leverage real-timecomputing and embeddedsystems to enable vehicles to make quick decisions based on dynamic road conditions. These increasingly complex systems face ri...
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ISBN:
(数字)9798350387957
ISBN:
(纸本)9798350387964
Advancements in autonomous driving technologies leverage real-timecomputing and embeddedsystems to enable vehicles to make quick decisions based on dynamic road conditions. These increasingly complex systems face rising computational demands. This study introduces a preliminary approach to parallelizing autonomous driving applications using a high-performance many-core processor. By distributing tasks across multiple cores, the approach enhances concurrent execution, reduces conflicts, and minimizes resource contention, improving the efficiency and performance of autonomous driving systems.
Itaddresses the challenges that are associated with dynamic power management in embeddedsystems by utilizing techniques that are derived from the discipline of reinforcement learning (RL). Given the increasing comple...
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Indoor positioning is an important element in context-aware applications, especially based on the internet of things (IoT). Elderly people or people with specific needs can benefit from such applications by providing ...
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ISBN:
(纸本)9798350397499
Indoor positioning is an important element in context-aware applications, especially based on the internet of things (IoT). Elderly people or people with specific needs can benefit from such applications by providing them with an ambient assisted living (AAL). Indoor positioning system (IPS) applications can be deployed under an IoT infrastructure to provide location awareness to other applications, such as AAL solutions. However, software patterns and architectures in the context of IoT applications are still open research topics. This paper proposes a software architecture for IoT-based IPS applications to support AAL systems. We performed a systematic literature review (SLR) to identify solutions and non-functional requirements (NERs) to incorporate into the architecture of these applications. From the SLR results, we developed an architecture for IoT-based IPS applications, using Fog computing elements, to support AAL systems. We evaluate the architecture using the iFogSim simulation environment regarding latency, network usage, and energy consumption. The proposed approach was compared to a cloud-based deployment. Experimental results show that the proposed fog-based architecture significantly reduces latency, network usage, and operational costs and is suitable for real-time response scenarios. In addition, the energy consumption of cloud data centers is reduced by employing fog computing.
As the automotive industry transitions towards Software-Defined Vehicles (SDVs) with centralized computing architectures, managing functional safety becomes increasingly complex. This paper examines how AI-driven deci...
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