K. Reif

Bundled software for simulation modeling

The paper is dedicated to issues of special software development for stochastic modeling “CS sF”. It considers the short description of the software features, a generalized block diagram “CS sF”, series of morphologies of obtained space-time signals (STS) and their bitmap images. The numerical simulations results of generated STS statistical processing are presented. The directions of perspective research are formulated. The possibility of theoretical information analysis of STS provided by this software is shown. The results of a numerical experiment set based on stochastic simulation package “CS sF” are given.

An efficient method to evaluate the performance of edge detection techniques by a two-dimensional Semi-Markov model

The essay outlines one particular possibility of efficient evaluating the Performance of edge detector algorithms. Three generally known and published algorithms (Canny, Marr, Shen) were analysed by way of example. The analysis is based on two-dimensional signals created by means of two-dimensional Semi-Markov Model and subsequently provided with an additive Gaussian noise component. Five quality metrics allow an objective comparison of the algorithms.

The results of the investigation of the boaventura and gonzaga integrated performance evaluation method of edge detection based on the two-dimensional renewal stream

The paper presents the results of the investigation of the I. Boaventura und A. Gonzaga integrated performance evaluation method of edge detection [1-2], obtained using the bundled software of stochastic simulation ≪CS sF≫ [3]. The methods and approaches of stochastic simulation were used in the experiments and the reference images were approximated with the two-dimensional renewal stream [4-7]. The performance of the outline drawing detection was evaluated by Boaventura und Gonzaga method for three algorithms of the edge detection (≪ Canny≫, ≪Marr-Hildreth≫ and ≪ISEF≫) under different levels of peak signal-to-noise ratio. The results of the investigation are presented as dependences of the estimate probability of the correct edge detection, the type 1 and 2 errors, on S/N ratio. The performance analysis of the above three algorithms for the images, produced on the basis of morphology type ≪A≫ and ≪F≫, is done based on the performed evaluation.

Estimation of the oil temperature in adjustable vibration dampers

It can be presumed also for semi-active vibration dampers that a better considering of the oil viscosity can be improve control accuracy and vehicle behavior. The Baden-Wuerttemberg Cooperative State University (DHBW), the Elektronische Fahrwerksysteme GmbH, the Audi AG, and the FKA in cooperation with the Institut fur Kraftfahrzeuge of RWTH Aachen University developed two simulation models. One was rather simplified for estimating the oil temperature in real-time on a control unit. The other model was built more detailed to understand the phenomena much better.