Scale-space techniques are very popular in image processing since they allow for the integrated analysis of image structure. The multi-scale approach enables one to distinguish between important features such as edges and smallscale features such as numerical artifacts or noise. In general, the same properties hold for vector fields such as flow data. Many flow features, e.g. vortices, can be o...

Decision-making in organizations is complex due to interdependencies among decision-makers (agents) within and across organizational hierarchies. We propose a multiscale decision-making model that captures and analyzes multiscale agent interactions in large, distributed decision-making systems. In general, multiscale systems exhibit phenomena that are coupled through various temporal, spatial a...

Here we describe the implementation of a large-scale multicamera particle image velocity (PIV) measurement to resolve the large range of spatial scales prevalent in moderate to high Reynolds number turbulent boundary layers. The objective of these experiments is to capture instantaneous snapshots of recently discovered large coherent structures which are known to inhabit the log and outer regio...

This paper aims to study and examine the value systems among the students region of Islamic Azad universities. The population includes all students in academic year 2008-9 among whom 400 ones were selected from 10 universities as a sample. The students' value hierarchies were examined using Alpourt 45- item questionnaire(A.V.L). Descriptive and t-inferential statistics and multivariate variance...

Truncated Gaussian Simulation (TGS) is a well-known method to generate realizations of the ore domains located in a spatial sequence. In geostatistical framework geological domains are normally utilized for stationary assumption. The ability to measure the uncertainty in the exact locations of the boundaries among different geological units is a common challenge for practitioners. As a simple a...