Model Aggregation for Reconfigurable Control Based on Generic Component Model

2006 ◽  
Author(s):  
He-xuan Hu ◽  
Anne-lise Gehin ◽  
Mireille Bayart
Keyword(s):  
Component Model ◽  
Reconfigurable Control ◽  
Model Aggregation ◽  
Generic Component

Generic Component Based Aggregation Modelling for Reconfigurable Control

2015 ◽  
Vol 738-739 ◽  
pp. 995-998
Author(s):  
He Xuan Hu
Keyword(s):  
Operating Mode ◽  
Hierarchical System ◽  
Component Model ◽  
Reconfigurable Control ◽  
Model Aggregation ◽  
Generic Component ◽  
Complex Components

In this paper, we propose an approach based on generic component model to realize the model aggregation for reconfigurable control. This is a component –oriented method. Two elementary notions, the service and the operating mode, are introduced to construct a hierarchical system and to assure the coherences between specification and realization at each level and between levels. The consideration of aggregated, complex components leads to extend this description to the possibilities of reconfiguration.

scholarly journals A generic component model for building systems software

2008 ◽  
Vol 26 (1) ◽  
pp. 1-42 ◽  
Author(s):  
Geoff Coulson ◽  
Gordon Blair ◽  
Paul Grace ◽  
Francois Taiani ◽  
Ackbar Joolia ◽  
...  
Keyword(s):  
Component Model ◽  
Systems Software ◽  
Building Systems ◽  
Generic Component

scholarly journals Understanding the Gap Between Information Models and Realism-Based Ontologies Using the Generic Component Model

2021 ◽  
Author(s):  
Mathias Brochhausen ◽  
Sarah J. Bost ◽  
Nitya Singh ◽  
Christoph Brochhausen ◽  
Bernd Blobel
Keyword(s):  
Knowledge Representation ◽  
Data Management ◽  
Data Models ◽  
Component Model ◽  
Data Management System ◽  
Use Case ◽  
Information Models ◽  
Management Procedures ◽  
Generic Component ◽  
Oriented Approach

The wide-spread use of Common Data Models and information models in biomedical informatics encourages assumptions that those models could provide the entirety of what is needed for knowledge representation purposes. Based on the lack of computable semantics in frequently used Common Data Models, there appears to be a gap between knowledge representation requirements and these models. In this use-case oriented approach, we explore how a system-theoretic, architecture-centric, ontology-based methodology can help to better understand this gap. We show how using the Generic Component Model helps to analyze the data management system in a way that allows accounting for data management procedures inside the system and knowledge representation of the real world at the same time.

Comparison of Principal Component Solutions in Two Populations

Methodology ◽  
2016 ◽  
Vol 12 (1) ◽  
pp. 11-20 ◽  
Author(s):  
Gregor Sočan
Keyword(s):  
Simulation Study ◽  
Principal Components ◽  
Common Factor ◽  
Principal Component ◽  
Component Model ◽  
Bootstrap Procedure ◽  
Factor Loadings ◽  
Component Loadings ◽  
Principal Component Model ◽  
Two Populations

Abstract. When principal component solutions are compared across two groups, a question arises whether the extracted components have the same interpretation in both populations. The problem can be approached by testing null hypotheses stating that the congruence coefficients between pairs of vectors of component loadings are equal to 1. Chan, Leung, Chan, Ho, and Yung (1999) proposed a bootstrap procedure for testing the hypothesis of perfect congruence between vectors of common factor loadings. We demonstrate that the procedure by Chan et al. is both theoretically and empirically inadequate for the application on principal components. We propose a modification of their procedure, which constructs the resampling space according to the characteristics of the principal component model. The results of a simulation study show satisfactory empirical properties of the modified procedure.

Using Rest's Four Component Model to Predict Applicant Cheating

2011 ◽  
Author(s):  
Lynn R. Hartmann ◽  
Kristie Lynn Campana ◽  
Lance Andrews
Keyword(s):  
Component Model ◽  
Four Component Model
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