Yuriy Pigovsky

Modeling Dynamics of Microorganisms Systems under Uncertainty

In the present study models of batch microorganisms systems dynamics under uncertainty conditions are considered. This study describes approaches to setting initial guess for parameter values and identifying autonomous and thermal-controlled systems.

Assessment of probabilistic parameters of alarm security detectors taking uncertain noise into account

A method for assessment detectors false alarm and fault was developed. It includes the assessments of noise intensity barriers and detectors vulnerability to them using fuzzy sets and their defuzzification. It allows considering different environmental influences that may cause improper functioning of the alarm systems.

Genetic algorithm implementation for distributed security systems optimization

This paper describes two algorithms for optimizing the design of distributed perimeter security systems. The first algorithm is a straightforward algorithm whose primary purpose is to help us formulate the problem formally. The second algorithm, is a genetic algorithm. Both algorithms were incorporated into a new module for our distributed security systems CAD software. Tests of the module show that it produced better solutions more quickly than any other algorithms that are known to us.

Criteria to estimate quality of methods selecting contour inflection points

Current study performs a comparison of the contour inflection point selection methods according to the following criteria: probability of the correct selection, probability of the incorrect selection and an error in the coordinate estimation based on the results of model tasks. Results of the interpolation and differential methods and the method based on wavelet analysis of the contour inflection point were analyzed and graphically illustrated. It is shown that for simple geometric shapes the interpolation method has low precision (it shifts the contour inflection points) while differential method has the best precision properties, however it selects redundant inflection points (it has a low noise resistance) and the method based on the wavelet analysis of the curvature function shows the best results under noisy conditions.

Autonomous systems modification of Mono's differential equations to non-autonomous systems in the tasks of modeling processes problems at biogas plants

The article proposed to use a modified finite-difference nonlinear Monos equation for the processes modeling. The equation provides non-autonomous processes model construction, and for its identification using data from a Chen-Hashimotos simple equation for different factor sets which influence the processes at biogas plants and interval data analysis methods.

Structural statistic method identifying facial images by contour characteristic points

This study discusses structural static method of human face identification for computer recognition systems based on building an identification vector as a set of characteristic points representing significant facial features with reduced data. It allowed providing an accurate classification invariant to the scale, rotation and shear at low computing complexity.

Adaptive model of fermentation processes under uncertainty conditions

This study describes an adaptive model, which allows predicting industrial fermentation processes under uncertainty conditions. The model is based on a collection of deterministic differential thermal-controlled models. It predicts state variable dynamics under every controlling thermal profile as time series of random or fuzzy numbers, and adaptively refines parameters of their probability density or membership functions using experimental observations of the systems state.

Fuzzy inference system for vulnerability risk estimation of perimeter security

The methods estimating vulnerability of perimeter security systems are developed in the current study. Appropriate estimations are based on the fuzzy inference methods of intruder undetection risks on security zones set in territorys perimeter.

Model of Periodical Thermal Chemical Processes with Fuzzy Parameters

A model of two periodical thermal chemical processes is described. The model includes parameters, whose immediate determination by measurements is either expensive or even impossible. We propose to interpret them as fuzzy functions, which could be built on expert estimations and empirical observations. Simulation results of the model with precise parameters are showed.

Investigation and Simulation Social and Ecological Factors Influence on the Social-Ecological Damage

The results of computer simulation of social and ecological factors influence on the social-ecological damage are represented in the papers.