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Efficiency of switch count reduction in SVM algorithm for 3l-NPC inverter

100%

Rogowski K.

2017

tom z. 75

75--78

The aim of the paper is to present efficiency of a space vector modulation (SVM) algorithm which is used to create alternating current waveforms of changing amplitude and frequency in power inverters. This implementation uses a prediction algorithm to reduce the switch count of power transistors. Reduction ratio from a few, to some 20% was observed, depending on the set of transistors' states used and the modulation frequency.

Some wear's tribochemicall aspects

100%

Palaghian L. , Birsan I. , Ciortan S.

Applied Mechanics and Engineering

1999

tom Vol. 4, no spec.

173-178

The paper presents few aspects produced in superficial layers, subjected to wear in corrosive environment. These aspects are mostly linked by electro-chemical phenomenon with a correlated evolution with the mechanical damages' evolution. Based on these aspects, the paper presents a model for these processes' prediction.

Explainability in RIONA Algorithm Combining Rule Induction and Instance-Based Learning

63%

Góra G. , Skowron A. , Wojna A.

Annals of Computer Science and Information Systems

2023

tom Vol. 35

491--502

The article concerns the well-known RIONA algorithm. We focus on the explainability property of this algorithm. The theoretical results, formulated and proved in the paper, show the relationships of the RIONA classifiers to both instance- and rule-based classifiers. In particular, we show the equivalence (relative to the classification) of the RIONA algorithm with the rule-based algorithm generating all consistent and maximally general rules from the neighbourhood of the test case. Consequently, the RIONA classifier can be represented by a rule-based classifier, with rules easily interpretable by humans. These theoretical results provide the explainability of the classifiers generated by RIONA and could be used in situations when an explanation or justification of the derived decision is important. It should be noted that the RIONA algorithm requires analysing only a small number of objects and rules contrary to algorithms based on the generation of huge sets of rules.