Models are invariably used in Engineering (for design) and Science (for analysis) to precisely describe structure as well as behaviour of systems. Models may have components described in different formalisms, and may span different levels of abstraction. In addition, models are frequently transformed into domains/formalisms where certain questions can be easily answered. We introduce the term “...

In several subject domains, the categorization scheme itself is part of the subject matter. In this case, experts make use of categories of categories in their accounts. This has led to a number of approaches in conceptual modeling and knowledge representation that are called multi-level modeling approaches. An early approach for multi-level modeling is the powertype pattern which introduces “p...

The popularity of the UML and the recent focus on its extension mechanisms has raised the general awareness of the value and importance of metamodelling. However, the effectiveness of metamodelling with the UML is being hindered by the lack of suitable notational support. In particular the stereotype mechanism is not consistently applied to the UML’s four-layer meta-architecture. The result is ...

State-of-the-art large vocabulary continuous speech recognition (LVCSR) systems often combine outputs from multiple subsystems developed at different sites. Cross system adaptation can be used as an alternative to direct hypothesis level combination schemes such as ROVER. In normal cross adaptation it is assumed that useful diversity among systems exists only at acoustic level. However, complim...

This paper studies spatial differences in the fluctuations of regional building activity Greece, by developing a composite multinomial logistic regression model expressing activity’s variability socio-economic terms. The results show that is related to economies scale within construction sector, along with performance two other Greek economy’s major sectors, i.e., tourism and tertiary, highligh...

Generalized linear models (GLMs) have been used widely for modelling the mean response both for discrete and continuous random variables with an emphasis on categorical response. Recently Yang, Mandal and Majumdar (2013) considered full factorial and fractional factorial locally D-optimal designs for binary response and two-level experimental factors. In this paper, we extend their results to a...