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A Feature Model (FM) is a compact representation of all the products of a software product line. The automated extraction of information from FMs is a thriving research topic involving a number of analysis operations, algorithms, paradigms and tools. Implementing these operations is far from trivial and easily leads to errors and defects in analysis solutions. Current testing methods in this context...
Cryptographic devices are recently implemented with different countermeasures against side channel attacks and fault analysis. Moreover, some usual testing techniques, such as scan chains, are not allowed or restricted for security requirements. In this paper, we analyze the impact that error detecting schemes have on the testability of an implementation of the advanced encryption standard, in particular...
Lots of growing neural network models have been proposed to tackle the incremental learning problem, but they also bring about the problem of fast growing complex structure. In this paper, we present a combinational Neural Network of SOM (Self-Organizing Maps) and RBF (Radial Basis Function) based on incremental learning method. The experiment of acoustic fault sources identification of underwater...
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