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In services and cloud computing, processes need to be continually adapted to changing environments and requirements. Undisciplined process adaptation could easily lead to data flow anomalies, e.g., input missing for some activities in the process. In this paper, we study the problem of data-flow-correctness-preserving adaptation and propose three important criteria that can maintain the data flow...
The quality and bitrate modeling is essential to effectively adapt the bitrate and quality of videos when delivered to multiplatform devices over resource constraint heterogeneous networks. The recent model proposed by Wang et al. estimates the bitrate and quality of videos in terms of the frame rate and quantization parameter. However, to build an effective video adaptation framework, it is crucial...
Due to shrinking transistor geometries, on-chip circuits are becoming vulnerable to errors, but at the same time on-chip networks are required to provide reliable services over unreliable physical interconnects. A connection oriented stochastic routing (COSR) algorithm has been used on one NoC platform that provides excellent fault-tolerance and dynamic reconfiguration capability. A probability model...
This paper introduces an embedded system of smart home development with AADL in, which is useful to analyze requirement, design software model, and verify relations between hardware and software in an embedded system. AADL is very convenient and scaleable to manage home equipment in smart home system, and enhance the developing quality of embedded software.
Facing changing environments and evolving business rules, composite services ought to be adaptable, even at run-time. Existing mainstream service composition languages and execution engines exhibit insufficient support for variability and adaptability to cater for dynamic changes. Research efforts have been put on the extension of the languages and argumentation of the engines. However, how to ensure...
Because of the disturbance of operation environment in mass rapid transit (MRT) system, the robustness against disturbance and the schedule punctuality under control constraint are important issues to be considered in designing Automatic Train Regulation (ATR) for MRT system. In this paper, the study on suitable traffic model for designing ATR system and ATR design based on adaptive critic design...
Motion controllers capable of incremental learning and optimization can automatically tune their parameters to pursue optimal control. By implementing reinforcement learning and approximate dynamic programming, an adaptive critic motion controller is shown able to achieve this objective. The control policy and the adaptive critic are implemented by sparse radial basis function networks. The policy...
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