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In this letter, a novel kernel adaptive algorithm, called kernel recursive generalized maximum correntropy algorithm (KRGMC), is derived in a kernel space and under the generalized maximum correntropy (GMC) criterion. The proposed kernel algorithm can effectively scale down the dynamic recursive weight coefficients influenced by the impulsive estimate error to avoid the significant performance degradation...
Domain adaptation (DA) algorithms address the problem of distribution shift between training and testing data. Recent approaches transform data into a shared subspace by minimizing the shift between their marginal distributions. We propose a method to learn a common subspace that will leverage the class conditional distributions of training samples along with reducing the marginal distribution shift...
Kernel adaptive filters (KAFs) are powerful tools for online nonlinear system modeling, which are direct extensions of traditional linear adaptive filters in kernel space, with growing linear-in-the-parameters (LIP) structure. However, like most other nonlinear adaptive filters, the KAFs are “black box” models where no prior information about the unknown nonlinear system is utilized. If some prior...
In this paper, we show the applicability of combinatorial testing to the system call interface of the Linux kernel. Our approach is two-fold: first we analyze the Trinity fuzz tester and in the aftermath we adapt the input parameter modeling of Trinity to the field of combinatorial testing. Furthermore, apart from the modeling itself, we target to provide a configurable testing framework for executing...
This paper deals with the system-level fault diagnosis problem which main objective is to identify faults, in particular permanent ones, in diagnosable systems under the PMC model. The PMC model assumes that each system's node is tested by a subset of the other nodes, and that at most t of these nodes are permanently faulty. Tests performed by faulty nodes are unreliable, and hence, they can incorrectly...
This paper describes a technical problem of obtaining a unique SDL entity identifier using SDL/SystemC co-modeling. The problem occurs during scientific research in co-modeling field as well as work under real projects. Solution consists in redefinition the standard function of SDL simulation kernel for getting access to entity name and then conversion its name to a unique identifier. The paper explains...
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