In this work, we are exploring mechanisms that may contribute to cultural diversity and that rely on our everyday understanding of culture as a set of attitudes, behaviors, tools, ways of thinking etc., some of which are not directly exposed to the outside. We are using as a starting point an extended Axelrod model that defines a Moore neighborhood and generally heterogeneous sets of cultural f...

This paper presents the latest developments of the deterministic Macroscopic Cellular Automata model SCIARA for simulating lava flows. A Bingham-like rheology has been introduced for the first time as part of the Minimization Algorithm of the Differences, which is applied for computing lava outflows from the generic cell towards its neighbours. The hexagonal cellular space adopted in the previo...

Language model information retrieval depends on accurate estimation of document models. In this paper, we propose a document expansion technique to deal with the problem of insufficient sampling of documents. We construct a probabilistic neighborhood for each document, and expand the document with its neighborhood information. The expanded document provides a more accurate estimation of the doc...

Based on the inertia weight and acceleration coefficients of trigonometric function and variable neighborhood search, a modified particle swarm optimization is discussed. The modified PSO with the parameters of the trigonometric function has powerful global exploration at the beginning and ending of the evolution, and strongly local exploitation in the interim of run. Through analyzing the beha...

This paper describes an experiment where classifiers are used to identify potential diagnoses on examining textual content of medical records. Three classifiers are applied separately (k-nearest neighborhood, multilayer perceptron and support vector machines) and also combined in two different approaches (parallel and cascading); results show that even accuracy point to a best alternative, ROC ...

In the recent decades, many practical algorithms have been put forward for images and videos encryption. However, there is no objective security assessment algorithm or calculation index has been proposed at present. According to the differences of pixel value and neighborhood distribution between cipher-images and original images, we present a visual security assessment algorithm based on neig...

in this paper, new definitions of $l$-fuzzy closure operator, $l$-fuzzy interior operator, $l$-fuzzy remote neighborhood system, $l$-fuzzy neighborhood system and $l$-fuzzy quasi-coincident neighborhood system are proposed. it is proved that the category of $l$-fuzzy closure spaces, the category of $l$-fuzzy interior spaces, the category of $l$-fuzzy remote neighborhood spaces, the category of ...

Conventional color to grayscale conversion algorithms cannot perform well in certain circumstances and the resultant grayscale images produced have low contrast and interpretability. Thus, we propose a new adaptive approach to overcome the drawback, namely the neighborhood pixels effect approach. In this approach two algorithms are proposed under this approach, namely the Neighborhood Effect Co...

The Self-Organizing Map (SOM) is a powerful tool in the exploratory phase of data mining. It is capable of projecting high-dimensional data onto a regular, usually 2dimensional grid of neurons with good neighborhood preservation between two spaces. However, due to the dimensional conflict, the neighborhood preservation cannot always lead to perfect topology preservation. In this paper, we estab...

Digital halftoning provides a mechanism for rendering continuous-tone images on devices such as printers. With electrophotography, the deposition of toner within the area of a given printer addressable pixel is strongly influenced by the halftone values of the immediately neighboring pixels. To account for these effects, it is necessary to embed a printer model in the halftoning algorithm. In o...