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Statistical shape models have become a widely used tool in computer vision and medical image analysis where they are of considerable interest when studying shape variations in anatomical shapes. The objective of this article is to build a 3D statistical shape modeling for a given data; the implemented process goes through those basic steps, first collect the given data then apply the alignment algorithm...
The paper deals with possibilities of geometry simplification for FE structural model calculating natural frequencies and mode shapes of rotor of small squirrel-cage induction motor. Proposed simplifications lead to the computing time savings while good result accuracy is preserved. All results are verified by experimental measurement.
Many different formal tools, e.g. statistic, fuzzy logic, neural networks, are used to study different bankruptcy related tasks. A qualitative modeling philosophy has been developed in an effort to produce a general and reasonably unified common sense approach to modeling of unique, complex and unsteady state systems. A qualitative description is information non intensive as it is based just on three...
This paper advocates for the introduction of performance awareness in autonomic systems. The motivation is to be able to predict the performance of a target configuration when a self-* feature is planning a system reconfiguration.We propose a global and partially automated process based on queues and queuing networks models. This process includes decomposing a distributed application into black boxes,...
Aiming at the problems of yarn and fabric simulation in woven fabric CAD system, the regular weaves and warp-backed weaves modeling is realized and the corresponding versatile algorithm is established. This modeling can automatically design the complex weaves with random ratio of warp and weft arrangement, and can automatically judge the covering-relation between surface and bottom intersection points...
In this paper, we will look into a typical discrete dynamic model of common types of collective behaviors. Collective learning behavior of human group with interactions is first modelled according to the classical herding theory in psychology, and then the model is constructed and simulated based on the cellular automaton (CA) method. In our method, we assume that individuals learn to make their decisions...
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