In this paper, we develop some results based on Relational model (Klimova, et al. 2012) which permits a decomposition of logarithm of expected cell frequencies under a log-linear type model. These results imply plain answers to several questions in the context of analyzing of contingency tables. Moreover, determination of design matrix and hypothesis-induced matrix of the model will be discusse...

The purpose of the application view is described. A number of methods or models is given to use in this view: stakeholder and concerns, context diagram, static entity relationship models and dynamic flow models. Distribution This article or presentation is written as part of the Gaudí project. The Gaudí project philosophy is to improve by obtaining frequent feedback. Frequent feedback is pursue...

Besides technological challenges, there is a growing interest on how pervasive computing can deeply affect the way in which people interact and accomplish collaborative tasks. Context awareness plays a crucial role for communities, where the degree of participation of a single user dynamically changes in relation to the distance from the place where practices occur and in relation with the abil...

Der Begriff Ambient Intelligence (AmI) bezeichnet ein neues Paradigma der Interaktion zwischen dem Menschen und seiner Alltagsumgebung. Ambient Intelligence versetzt diese Umgebung in die Lage, sich des in ihr handelnden Menschen, seiner Ziele und Bedürfnisse bewusst zu sein (Context Awareness) und den Nutzer beimDurchführen seiner Tätigkeiten zu assistieren. Die vorliegende Arbeit beschäftigt ...

AbstracL Features are application and viewer-dependent interpretations of geometry. This article demonstrates how the notion of features arising out of geometric data may be formalised as the semantics of a language of shape, using machining operations as an extended example. The syntax and semantics of formal languages are discussed, with particular reference to their use in design. A simplifi...

In an effort to support the development of context-aware applications that use archived sensor data, we introduce the concept of the Context Cube based on techniques of data warehousing and data mining. Our implementation of the Context Cube provides a system that supports a multi-dimensional model of context data and with tools for accessing, interpreting and aggregating that data by using con...

Evaluating methodologies and tools for software development has been subject of research for a while and various quantitative techniques have emerged. However, a common problem in any evaluation method is to select appropriate evaluation criteria. This paper describes the evaluation method and some results of work on empirical evaluation of model-driven engineering and its infusion in industry ...

We present an efficient, novel two-pass approach to mitigate the computational impact resulting from online intersection of an n-gram language model (LM) and a probabilistic synchronous context-free grammar (PSCFG) for statistical machine translation. In first pass CYK-style decoding, we consider first-best chart item approximations, generating a hypergraph of sentence spanning target language ...

The task of unsupervised induction of probabilistic context-free grammars (PCFGs) has attracted a lot of attention in the field of computational linguistics. Although it is a difficult task, work in this area is still very much in demand since it can contribute to the advancement of language parsing and modelling. In this work, we describe a new algorithm for PCFG induction based on a principle...

Stochastic Context-Free Grammars (SCFGs) have been used widely in modelling RNA secondary structure. They were motivated by the use of Hidden Markov Models (HMMs) in protein modelling (Krogh et al., (1993)). What was lacking in HMMs though, was the ability to model long range interactions which are necessary to provide an effective model for RNA secondary structure. Thus, SCFGs, as generalisati...