Projects
Output Filters for Grid-Tied Converters: Component Sizing, Controller Co-Design and Winding-Loss Analysis KU Leuven
There has been a high increase in demand for high-performance output filters for power converters, possessing high attenuation and high bandwidth. Many emerging applications require high bandwidth and low output distortion, e.g. controllable power sources and grid-tied converters. Moreover, at high switching frequency, the filter attenuation needs to comply with the electromagnetic interference (EMI) standard, which is more stringent than the ...
Identifying redundant variables in a simultaneous component analysis. KU Leuven
Block component analysis. KU Leuven
development of an appropriate laboratory analysis component in the malawi maize commodity team Ghent University
To integrate maize agronomy field and process oriented research through laboratory component within the maize agronomy research team which will facilitate clear understanding of some basic issues.
Component and HICLAS models for the analysis of structural differences in real-valued and binary multivariate multilevel data. KU Leuven
Unraveling and unlocking the assets of principal covariates regression KU Leuven
In the behavioral sciences, researchers often link a criterion to multiple predictors, using multiple linear regression. In almost all cases the main aim of the analysis is to obtain a better understanding of the unique and shared relations between the predictors and the criterion. A complication that is often encountered is that the set of potential predictors is rather large. This raises an interpretational burden, because the regression ...
Tensor-based independent component analysis: from instantantaneous to convolutive mixtures KU Leuven
Data is everywhere, but it is only useful if information can be extracted from it. To this end, data analysis techniques have been developed to find features underlying the data. One class of data analysis techniques uses tensor decompositions. Tensors are higher-dimensional extensions of vectors and matrices and allow us to represent multiway data in a natural way. One of the key strengths of tensors is that their decompositions are unique ...
Single-step Modal Parameter Identification and Vehicle Component Load Prediction using Modal Testing KU Leuven
Vibration analysis has always been a ubiquitous part of engineering, especially so since the 1960s, when experimental vibration analysis was essentially seeded with help from computing advances. Since then, modal analysis has been a key focus in key industries such as the automotive sector to not only characterise mechanical components, but also modify structures to avoid running into sometimes catastrophic issues due to structural dynamics. ...
Switching component models for capturing emotional response patterning and synchronization processes. KU Leuven
Functionalist definitions of emotions state that they consist of synchronized or patterned changes in multiple experiential, physiological, and behavioral response channels which enable the organism to quickly and efficiently cope with environmental threats or opportunities. Yet, detecting response patterning and synchronicity in empirical data represents a formidable challenge (Gross, 2010). Indeed, while technological advances have enabled ...