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We present an overview of the ATLAS analysis architecture including the relevant aspects of the computing model and the major architectural aspects of the Athena framework.
The proposed scene analysis architecture is evaluated through experimental results within a robotic collision avoidance system.
Agile ways of working can be applied to BPM planning, analysis, architecture, design, implementation, operation, monitoring, and improvement.
The proposed analysis architecture can be used to investigate service quality effectively and track the trends periodically.
Based on our analysis architecture, we simulate two typical de-anonymization algorithms and evaluate their performance under different pre-configured environments.
An automatic distributed high performance analysis architecture and offset formula theory are developed to quickly generate the test cases, work out the mapping tables and verify their correctness.
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The research described in this paper is targeted, especially, at designers of CSS, particularly those responsible for knowledge engineering, requirement analysis and architecture design.
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CEO of Professional Science Editing for Scientists @ prosciediting.com