Adaptability in architectural objects through fractal approaches

Measuring Architectural Adaptability in i* Models

Developing adaptable systems is still a big challenge in software engineering. Different reference architectures and systematic approaches have been proposed to address this challenge. Several of these approaches are based on goal models, given their suitability to express and reason on alternative behaviors. In this paper we intend to provide a basis for comparing architectures described in go...

Turbulent wakes of fractal objects.

Turbulence of a windtunnel flow is stirred using objects that have a fractal structure. The strong turbulent wakes resulting from three such objects which have different fractal dimensions are probed using multiprobe hot-wire anemometry in various configurations. Statistical turbulent quantities are studied within inertial and dissipative range scales in an attempt to relate changes in their se...

Recognition and Modeling of Architectural Objects from Architectural CAD Drawings

Recently in the eld of building CAD, research and development in CAD and data sharing among CAD tools has introduced object-oriented technology. This technology has brought object-oriented CAD tools that allow users to designing buildings by means of architectural objects and the standard data speci cation IFC (Industry Foundation Classes), which is involved in the architectural CALS (Commerce ...

Architectural Bias in Recurrent Neural Networks - Fractal Analysis

We have recently shown that when initialized with “small” weights, recurrent neural networks (RNNs) with standard sigmoid-type activation functions are inherently biased towards Markov models, i.e. even prior to any training, RNN dynamics can be readily used to extract finite memory machines (Hammer & Tiňo, 2002; Tiňo, Čerňanský & Beňušková, 2002; Tiňo, Čerňanský & Beňušková, 2002a). Following ...

Architectural Bias in Recurrent Neural Networks -- Fractal Analysis