End-to-End Latency Analysis of Dataflow Scenarios Mapped Onto Shared Heterogeneous Resources

Siyoum, Firew; Geilen, Marc; Corporaal, Henk

doi:10.1109/tcad.2015.2472004

Cited by 5 publications

(4 citation statements)

References 40 publications

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“…It adheres to the guiding ideology of “health first,” takes students' development as the center, and always puts students' active development in a prominent position. Through rich and colorful sports activities, students' interest in sports is stimulated and their awareness of lifelong sports is cultivated [ 8 ]. The curriculum of physical education and health has changed from the direction of the organic combination of physical education and education, and the organic connection between physical education and health.…”

Section: Introductionmentioning

confidence: 99%

Construction of Sports and Health Data Resources and Transformation of Teachers’ Orientation Based on Web Database

Yang

Chen

2022

Journal of Healthcare Engineering

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In the intelligent era, emerging information technology helps to transform the information society into an intelligent society and the educational system into a new educational ecology. Teachers must change their roles to be competent for future education and teaching as a result of social transformation, technology application, and education development. Simultaneously, figuring out how to sort sports health data and analyze students’ physical health information with a low error rate is an urgent problem that needs to be solved. Data management skills are an unavoidable requirement of the current state of school physical education. Sports health information management will become easier as computer technology advances and the country places a greater emphasis on computer networks. This paper proposes a Web database-based sports health data management system. This paper can help schools understand the relationship between important factors and indicators that affect students’ health in order to guide them in making timely changes to their physical education programs. Provide a reasonable sports health plan based on scientific analysis and evaluation to achieve the goal of improving students’ physical quality and reducing workload.

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Section: Introductionmentioning

confidence: 99%

Construction of Sports and Health Data Resources and Transformation of Teachers’ Orientation Based on Web Database

Yang

Chen

2022

Journal of Healthcare Engineering

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“…Many works exist that have studied the model-based design of streaming applications with dataflow graphs. Important properties of the modeled application that can be analyzed from its graph representations involve throughput [1], throughput-buffering trade-offs [2], average and worst-case performance [3,4], latency and response time [5,6], and many others. In [7], dataflow graphs were used for modeling and analyzing the performance of online gesture recognition.…”

Section: Related Workmentioning

confidence: 99%

Model-Based Design of Energy-Efficient Human Activity Recognition Systems with Wearable Sensors

et al. 2018

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The advances in MEMS technology development allow for small and thus unobtrusive designs of wearable sensor platforms for human activity recognition. Multiple such sensors attached to the human body for gathering, processing, and transmitting sensor data connected to platforms for classification form a heterogeneous distributed cyber-physical system (CPS). Several processing steps are necessary to perform human activity recognition, which have to be mapped to the distributed computing platform. However, the software mapping is decisive for the CPS’s processing load and communication effort. Thus, the mapping influences the energy consumption of the CPS, and its energy-efficient design is crucial to prolong battery lifetimes and allow long-term usage of the system. As a consequence, there is a demand for system-level energy estimation methods in order to substantiate design decisions even in early design stages. In this article, we propose to combine well-known dataflow-based modeling and analysis techniques with energy models of wearable sensor devices, in order to estimate energy consumption of wireless sensor nodes for online activity recognition at design time. Our experiments show that a reasonable system-level average accuracy above 97% can be achieved by our proposed approach.

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“…If we now substitute (39) into (47), and apply backward substitution to get rid of the recursive term, we obtain:…”

Section: Examplementioning

confidence: 99%

“…The Max-plus automaton structure of (56) with the morphism µ of (57) fully captures the temporal behavior of a given SDF-PDFG. We use this structure to study the performance of SDF-PDF in a similar fashion it has been used to study the performance of FSM-SADF [8][30] [39]. In particular, we focus on the results obtained for an FSM-SADFG with a fully connected FSM.…”

Section: B Worst-case Throughputmentioning

confidence: 99%

Worst-case performance analysis of SDF-based parameterized dataflow

Skelin

Geilen

Catthoor

et al. 2017

Microprocessors and Microsystems

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End-to-End Latency Analysis of Dataflow Scenarios Mapped Onto Shared Heterogeneous Resources

Cited by 5 publications

References 40 publications

Construction of Sports and Health Data Resources and Transformation of Teachers’ Orientation Based on Web Database

Construction of Sports and Health Data Resources and Transformation of Teachers’ Orientation Based on Web Database

Model-Based Design of Energy-Efficient Human Activity Recognition Systems with Wearable Sensors

Worst-case performance analysis of SDF-based parameterized dataflow

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