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A case study implemented on 802.15.4 Zigbee scheduling and coordinated duty cycling in order to enhance the battery lifetime of the nodes.
The feasibility of the approach is evaluated in the context of Znn.com, a case study implemented using the Rainbow framework for architecture-based self-adaptation.
A case study implemented on 802.15.4 Zigbee nodes presents the application of this approach for a time-triggered communication scheduling and coordinated duty cycling in order to enhance the battery lifetime of the nodes.
We have applied our approach to a case study, implemented in the ProCom component technology executing on top of a FreeRTOS-based hierarchical scheduling framework and present the results as a proof-of-concept.
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For the proof of concept, a case study implements the presented methodologies.
We present a case study implementing the proposed framework on Apple Inc.'s iPad product line.
Examples of robust designs for logistic models are presented, including a case study implementing the methodologies using beetle mortality data.
A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented.
A case study implementing the system was performed on the Hanyang Lake area in the urban fringe of Wuhan City, central China, which is under significant urbanization pressure.
The case study implements both the qualitative and the quantitative approach, and shows how both of these methods can complement each other to build future scenarios that cover a wide range of topics.
The second case study implements the breadth-first search as an example of an application that identifies dynamically the most appropriate cores (CPU or GPU) to execute a task.
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