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检索条件"任意字段=13th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications"

共 2022 条记录，以下是111-120 订阅

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WMDRS: Workload-Aware Performance Model Based Multi-Task Dynamic-Quota real-time Scheduling for Neural Processing Units 28

WMDRS: Workload-Aware Performance Model Based Multi-Task Dyn...

引用

ieee 28th international conference on Parallel and Distributed systems (ieee ICPADS)

作者： Liu, Chong Yao, Yuan Dang, Yi Yang, Gang Jia, Wei Tian, Xinyu Zhou, Xingshe Northwestern Polytech Univ Sch Comp Sci Xian Peoples R China Xian Aisheng Technol Grp Co Ltd Dept Aviat Elect Xian Peoples R China

ISBN: (纸本)9781665473156

To further improve the capacity of airborne embedded system for dealing with deep learning (DL) applications and reduce overall power consumption, it is necessary to equip Neural Processing Units (NPUs). Comparing with the cloud system, the airborne embedded system usually has a fixed application set, but strict real-time constraints. Unfortunately, the inherent NPU scheduler does not consider the application priority, which cannot provide the sufficient real-time capability for the airborne embedded system. At present, there are few researches on multi-task real-time scheduling for NPUs. therefore, we propose WMDRS, a workload-aware performance model multi-task dynamic-quota real-time scheduling for Neural Processing Units. the NPU performance model based on workload-awareness can accurately predict the remaining execution time of a task, which is running concurrently with other tasks on NPU. the multi-task dynamic-quota real-time scheduling algorithm can provide the approximate preemption by dynamically adjusting NPU computing resources for active applications. In addition, we implement a prototype NPU scheduler without any hardware extension. Furthermore, the proposed NPU performance model and real-time scheduling algorithm are evaluated in realistic application sets. Experimental results demonstrate that WMDRS can achieve low prediction error and high scheduling success ratio.

关键词： real-time scheduling NPU performance model embedded system preemptive scheduling

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time-Sensitive Networking's Scheduled Traffic Implementation on ieee 802.11 COTS Devices 29

Time-Sensitive Networking's Scheduled Traffic Implementation...

引用

29th ieee international conference on embedded and real-time computing systems and applications, RTCSA 2023

作者： Peón, Pablo Gutiérrez Karachatzis, Paraskevas Steiner, Wilfried Uhlemann, Elisabeth TTTech Computertechnik AG Vienna Austria School of Innovation Design and Engineering Mälardalen University Västerås Sweden

ISBN: (纸本)9798350337860

Wired real-time network deployments based on time-sensitive networking (TSN) are becoming increasingly popular in several application fields including industrial automation and the automotive area. this is to a great extent due to the scheduled traffic (ST;ieee 802.1Qbv), a TSN mechanism that precisely triggers transmissions at pre-defined instants from a set of independent hardware queues. Unfortunately, the wireless counterparts based on ieee 802.11 (Wi-Fi) currently lack standardized or functional solutions that would be able to fulfill strict real-time requirements. this work proposes the use of ST over ieee 802.11, taking advantage of an existing but overlooked mechanism from commercial off-the-shelf (COTS) equipment. An extensive set of tests, spanning different implementation configurations, traffic patterns, and levels of interference evaluates the proposal in terms of reliability and delivery delays and serves as a proof of concept. the tests also evaluate the much-needed clock synchronization quality of an out-of-the-box software-only implementation of the precision time protocol (PTP) due to its relevance in enabling ST. © 2023 ieee.

关键词： Wi-Fi

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Edge-based Sensors Network for Critical Object Monitoring: Reliability Models Considering the Location of Failed Sensors 13

Edge-based Sensors Network for Critical Object Monitoring: R...

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13th international conference on Dependable systems, Services and Technologies, DESSERT 2023

作者： Skorobohatko, Stanislav Fesenko, Herman Kharchenko, Vyacheslav Yakovlev, Sergiy Networks and Cybersecurity of National Aerospace University KhAI Department of Computer Systems Kharkiv Ukraine National Aerospace University KhAI Department of Mathematical Modelling and Artificial Intelligence Kharkiv Ukraine

ISBN: (纸本)9798350396119

this paper proposes an availability model for an edge-based sensor network utilized for critical object monitoring. the model is designed to ensure that the network remains effective, efficient, and available despite changes in network topology, node failures, and other disruptive events. the study investigates various availability metrics such as reliability, maintainability, and availability, and how they can be used to evaluate the performance of the network. Additionally, the paper presents a case study of the model's performance to monitor a critical object in real-time. the results indicate that the proposed model offers improved network availability and reliability, making it a viable option for critical object monitoring applications. © 2023 ieee.

关键词： Remote sensing

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Machine Learning in embedded systems: Limitations, Solutions and Future Challenges

Machine Learning in Embedded Systems: Limitations, Solutions...

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ieee Annual computing and Communication Workshop and conference (CCWC)

作者： Eleftherios Batzolis Eleni Vrochidou George A. Papakostas Department of Computer Science MLV Research Group International Hellenic University Kavala Greece

Machine learning has attracted a lot of interest in the last few years as a solution to a variety of difficult challenges in many disciplines. An emerging area is that of embedded devices, where machine learning is deployed to efficiently carry out tasks like data analysis, prediction, and decision-making in real-time applications. Challenges such as the necessity for fast and effective algorithms and the restricted resources available in embedded systems to cover the computational and storage demands need to be confronted to successfully integrate machine learning models into embedded systems. this work aims to provide an overview of the use of machine learning in embedded systems, including past and current solutions, and to present the challenges that need to be addressed. Future directions for the use of machine learning in embedded systems are also discussed.

关键词： embedded systems Machine learning algorithms Computational modeling Machine learning Prediction algorithms real-time systems Robustness

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Work-in-Progress Abstract: On the relationship between scheduling theory and real-time calculus 27

Work-in-Progress Abstract: On the relationship between sched...

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27th ieee international conference on embedded and real-time computing systems and applications (RTCSA)

作者： Slomka, Frank Sadeghi, Mohammadreza Ulm Univ Embedded Real Time Syst Inst Ulm Germany

In this ongoing research, we investigate the mathematical properties of the scheduling theory and the real-time calculus and their relationship to each other.

ISBN: (纸本)9781665441889

In this ongoing research, we investigate the mathematical properties of the scheduling theory and the real-time calculus and their relationship to each other.

关键词： real-time analysis scheduling theory real-time calculus network calculus

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A Power Consumption Perception and Dynamic Adjustment Model for embedded real-time systems 23

A Power Consumption Perception and Dynamic Adjustment Model ...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Wang, Yingjie Bai, Fengbo Wang, Zumin Wang, Zixu Wang, Zizhong College of Information Engineering Dalian University Dalian116622 China Institute of Evidence Law and Forensic Science China University of Political Science and Law Beijing100088 China Technology Co. Ltd Beijing100088 China First Research Institute of the Ministry of Public Security of Prc Beijing100048 China School of Software Technology Dalian University of Technology Dalian116024 China

ISBN: (纸本)9781665494571

embedded real-time systems are usually adopted on platforms with constrained resources in energy, but these systems have been required more and more powerful, of which, the powerful functions would inevitably increase the power consumption. therefore, reduction of the power consumption for an embedded system becomes as important as the accomplishment of the task execution deadline. that means, the strategy of task scheduling technology and selection of voltage/frequency mechanism should be considered together, so that scheduling could provide an approach to achieve system energy saving. In the practice of this topic for energy consumption optimization, experimental facts have shown that the adoption with combining the Dynamic Voltage and Frequency Scaling (DVFS) technology and scheduling strategies could be a promising method to reduce system energy consumption. In this paper, an energy-aware scheduling model of embedded real-time system adopting the combination with dynamic power management is proposed, to ensure the tasks executed before the deadline and minimize processor energy consumption. Based on both considering aspects of timing control and energy consumption control, a dynamic power management scheduling algorithm is designed to sufficiently explore the adoption of the DVFS technology, to reduce the energy consumption, with fulfilling the execution deadline requirement and energy consumption adjustment, under the condition of multiple preemptive tasks. © 2021 ieee.

关键词： Energy consumption Power demand Scheduling algorithms Power system management Heuristic algorithms Process control Dynamic scheduling

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A Study on ECG Monitoring embedded systems 13

A Study on ECG Monitoring Embedded Systems

引用

13th international conference on Information and Communication Technology Convergence, ICTC 2022

作者： Kim, Jaehyuk Kim, Eunchan Kyung, Yeunwoong Ko, Haneul School of Computer Engineering Hanshin University Osan Korea Republic of Seoul National University Department of Intelligence and Information Seoul Korea Republic of Kongju National University Divison of Information & Communication Engineering Cheonansi Korea Republic of Kyung Hee University Department of Electronic Engineering Yongin Korea Republic of

ISBN: (数字)9781665499392

ISBN: (纸本)9781665499392

the technical development of the wearable devices has introduced the easy and compact ECG monitoring em-bedded systems. For the commercial ECG monitoring systems, classification is one of the key performance metrics. this is because the classification identifies the abnormal ECG signal and consequently leads to the appropriate treatment. Since the computing capability is needed for the classification, the server-based or gateway-based classification is usually considered. this means that the embedded system have played only an collecting role in the conventional ECG monitoring system. However, to provide a real-time classification, the need of ECG classification in the embedded system has been introduced. therefore, this paper reviews the existing ECG monitoring systems and provides a candidate solution for ECG classification in the embedded systems. © 2022 ieee.

关键词： Electrocardiograms

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Exploring the Potential of Self-Organizing applications in Energy Networks 4

Exploring the Potential of Self-Organizing Applications in E...

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4th ieee international conference on Automatic computing and Self-Organizing systems Companion, ACSOS-C 2023

作者： Wogatai, Kristina Supervisor: Wilfried Elmenreich Networked and Embedded Systems University of Klagenfurt Klagenfurt Austria

ISBN: (纸本)9798350337464

Stable energy networks are vital for the transmission and distribution of various forms of energy, and their efficient and sustainable management is crucial in meeting the growing demands of the modern world. Self-organizing applications appear to enable efficient management and optimization of energy systems [1]. Self-organisation allow components of the network to communicate and cooperate without relying on centralized control [8], leveraging real-time data analysis and decision-making to adapt to changing conditions. However, implementing self-organizing applications in energy grids comes with challenges [3]. Developing robust and scalable algorithms to coordinate and optimize network behavior is complex, considering dynamic environments, large-scale data, and varying energy source constraints. the planned thesis aims to explore the potential of swarm intelligence, inspired by slime mold behavior, in developing self-organizing applications for energy grids. It investigates the benefits and limitations of self-organizing applications compared to centralized control systems and explores how nature-inspired approaches can be combined with advanced technologies such as artificial intelligence to optimize energy networks. the hypothesis that nature-inspired approaches can be combined with artificial intelligence is supported, for example, by Tran et al. in [12] and Khan et al. in [6]. the following research questions will be addressed. © 2023 ieee.

关键词： Decision making

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Research on applications of Virtual Power Plants for Power Grid Peak-shaving Under Inertia Constraints 13

Research on Applications of Virtual Power Plants for Power G...

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13th international conference on Power and Energy systems, ICPES 2023

作者： Jiang, Xinfan Liu, Yonggang Wu, Jinbo Hu, Dijun Power Dispatch Center State Grid Hunan Electric Power Co. Ltd. Changsha China Power Research Institute State Grid Hunan Electric Power Co. Ltd. Changsha China

ISBN: (纸本)9798350345063

Large-scale influx of renewable energy into current electric power grid increases risks regarding frequency instability and makes power grid peak-shaving knotty. the solution lies in the online system for inertia monitoring and the strategy of utilizing virtual power plants (VPP) in a flexible way. In this paper, we propose an evaluation metric for system inertia value, then design the architecture of online monitoring systems in the upper and lower level power dispatch centers, to achieve real time interactive communication for inertia value evaluation. Besides, we present strategies to utilize VPP for power grid peak-shaving under the constraint of system inertia. Last but not least, we discuss to structure the sustainable operation mechanism of VPP focused on collaboration and interaction among source-grid-load-storage, technical standard, supportive policy and market mechanism. © 2023 ieee.

关键词： Online systems

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Mixed-criticality Application Scheduling in Safety-involved embedded systems 25

Mixed-criticality Application Scheduling in Safety-involved ...

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25th international conference on Soft computing and Measurements, SCM 2022

作者： Dushutina, Elena V. Peter the Great St. Petersburg Polytechnic University St. Petersburg Russia

ISBN: (纸本)9781665496698

the feasibility of efficient scheduling of real-time applications with different degrees of criticality in safety-involved systems is considered. the object of the study is the scheduling of tasks the solution of which is necessary to identify the pre-emergency state of electrical equipment, predict and detect faults, timely reconfigure to restore the initial operability and functionality. As a result of the study, for the considered safety-related system, a set of the most important functional tasks of hard real-time is identified, their temporal characteristics are determined, and the most expedient practical approach to scheduling tasks with mixed-criticality is proposed. the suggested approach is applied to the development of real-time system software in the safety-involved embedded system for monitoring the electrical equipment condition. the paper presents some trial results of the developed system for two aspects: the results of monitoring the state of electrical equipment using the example of thermal analysis and analysis of current distribution, also a selection of results reflecting the operation of the real-time scheduler. © 2022 ieee.

关键词： embedded systems

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