Titlebook: Knowledge-Driven Board-Level Functional Fault Diagnosis; Fangming Ye,Zhaobo Zhang,Xinli Gu Book 2017 The Editor(s) (if applicable) and The

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Fangming Ye,Zhaobo Zhang,Krishnendu Chakrabarty,Xinli Gu. is the ideal handbook for the architect who is asked to implement an Enterprise Architecture in an existing organization...What You‘ll Learn.. .Identify a company‘s needs and develop an appropriate strategy to satisfy those needs. .Implement measurable goals and objectives for a baseline architect

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Fangming Ye,Zhaobo Zhang,Krishnendu Chakrabarty,Xinli Guolutions but generic for Enterprise software development. This chapter illustrates how the Microservices architecture is the most suitable choice for designing Enterprise IoT applications. In the last part, there is a detailed discussion on the trade-off between Monolithic and Micro services archite

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Diagnosis Using Multiple Classifiers and Majority-Weighted Voting (WMV),sed system uses weights to combine the repair suggestions provided by each machine in order to identify a single set of recommended repair suggestions. The proposed WMV system can leverage results from both ANNs and SVMs.

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Adaptive Diagnosis Using Decision Trees (DT), of using decision trees is that it can also be used to select an effective, but reduced, set of syndromes for use by ANNs or SVMs in a subsequent step. Moreover, to enable the reuse of knowledge from the test-design stage, we use an incremental version of decision trees so as to bridge the knowledg

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,Information-Theoretic Syndrome and?Root-Cause Evaluation,system lacks a sufficient database with adequate information for mapping errors to root causes. There is a need for a rigorous framework that can evaluate an existing diagnosis system using quantifiable metrics, and provide means for enhancing the accuracy of diagnosis. Ambiguity in root-cause ident

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Knowledge-Driven Board-Level Functional Fault Diagnosis978-3-319-40210-9