Chaos in the motion of atoms and molecules composing fluids is a new topic in nonequilibrium physics. Relationships have been established between the characteristic quantities of chaos and the transport coefficients thanks to the concept of fractal repeller and the escape-rate formalism. Moreover, the hydrodynamic modes of relaxation to the thermodynamic equilibrium as well as the nonequilibriu...

Purpose – This paper seeks to propose an innovative approach to the assessment of the effectiveness of organizational structures. Design/methodology/approach – Explores a concept for the measurement of the fractal dimensionality of living organisms, applying it from biology to social organizations. Findings – The fractal dimensionality of an organization normally lies in the range of 2.2-2.3, i...

This work proposes and study the concept of Functional Data Analysis transform, applying it to the performance improving of volumetric Bouligand-Minkowski fractal descriptors. The proposed transform consists essentially in changing the descriptors originally defined in the space of the calculus of fractal dimension into the space of coefficients used in the functional data representation of the...

In this project, we introduce the concept of intrinsic “fractal” dimension of a data set and show how this can be used to aid in several data mining tasks. We are interested in answering questions about the performance of a method and also in comparing between the methods quickly. In particular, we discuss two specific problems – dimensionality reduction and vector quantization. In each of thes...

One of the most important tasks in image processing problem and machine vision is object recognition, and the success of many proposed methods relies on a suitable choice of algorithm for the segmentation of an image. This paper focuses on how to apply texture operators based on the concept of fractal dimension and cooccurence matrix, to the problem of object recognition and a new method based ...

The concept of “particle flow” has been developed to optimise the jet energy resolution by distinguishing the different jet components. A highly granular calorimeter designed for the particle flow algorithm provides an unprecedented level of detail for the reconstruction of calorimeter showers and enables new approaches to shower analysis. In this paper the measurement and use of the fractal di...

Estimations of the local roughness of Digital Elevation Models (DEMs) have been used both for a better geological understanding of terrain structures and for a more accurate DEM interpolation leading to higher resolution terrain maps. This work investigates two fractal dimension estimators for the characterization of the roughness of DEMs: the power spectrum estimator and the wavelet-based esti...

The analysis of a large database of protein structures by means of topological and shape indexes inspired by complex network and fractal analysis shed light on some organizational principles of proteins. Proteins appear much more similar to "fractal" sponges than to closely packed spheres, casting doubts on the tenability of the hydrophobic core concept. Principal component analysis highlighted...

This paper describes a case study of enhancing the deployment process in J2EE application servers (AS), and more precisely the services building such servers and the applications executing on the servers. We show how, by following a component-based approach to the design of the server, we address the versioning and licensing issues raised by the fact that a J2EE server is built out of heterogen...