A Novel String Distance Function based on Most Frequent K Characters

This study aims to publish a novel similarity metric to increase the speed of comparison operations. Also the new metric is suitable for distance-based operations among strings. Most of the simple calculation methods, such as string length are fast to calculate but does not represent the string correctly. On the other hand the methods like keeping the histogram over all characters in the string are slower but good to represent the string characteristics in some areas, like natural language. We propose a new metric, easy to calculate and satisfactory for string comparison. Method is built on a hash function, which gets a string at any size and outputs the most frequent K characters with their frequencies. The outputs are open for comparison and our studies showed that the success rate is quite satisfactory for the text mining operations

Processus d'intégration: regard des Turcs du Valais sur la compréhension de ce processus

La présente étude se rapporte aux divers points de vue des migrants turcs qui habitent en Valais, quant à leur représentation de l’intégration. Elle tend également à saisir la portée de l’aspect linguistique dans ce processus. Les principales questions traitées sont : Quelle compréhension les Turcs ont-ils du processus d’intégration ? Quel indicateur de l’intégration est le plus présent dans les discours ? Que représente la maîtrise d’une langue nationale

Modeling the measurement uncertainty with Fuzzy approach

There are several types of uncertainty in a material characterization arisen from different sources of measurement errors, such as methodological, instrumental, and personal. As a reason of the uncertainty in material models, it is plausible to consider model parameters in an interval instead of a singleton. The probability theory is widely known method used for the consideration of uncertainties by means of a certain distribution function and confidence level concept. In this study, fuzzy logic is considered within a material characterization model to deal with the uncertainty coming from random measurement errors. Data points are treated using fuzzy numbers instead of single values to cover random measurement errors. In this context, an illustrative example, prepared with core strength-rebound hammer data obtained from a concrete structure, is solved and evaluated in detail. Results revealed that there is a potential for fuzzy logic to characterize the uncertainty in a material model arisen from measurement errors