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Dive into the research topics where Andriy Pukas is active.

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Featured researches published by Andriy Pukas.


intelligent data acquisition and advanced computing systems: technology and applications | 2005

Criterion of Design of Experiments for Tasks of Decision Support Interval Model Creation

Mykola Dyvak; Andriy Pukas

New criterion and method for design of experiments for two types of tasks of creation of decision support interval model are described. The first type is the tasks of control of permissible values of characteristics of technical, economic, ecological and other static systems. Second type of tasks - it is the tasks of choice of optimum decisions by the criterion of minimization or maximization of value of objective function.


international conference on experience of designing and applications of cad systems in microelectronics | 2017

Identification the interval difference operators based on artificial bee colony algorithm in task of modeling the air pollution from vehicular traffic

Iryna Voytyuk; Natalia Porplytsya; Andriy Pukas; Taras Dyvak

The method of structure identification of interval difference operators, based on principles of the bee colonies functioning is represented. An example of the implementation of method for modeling of atmosphere pollution by harmful vehicle emissions is considered.


international conference on experience of designing and applications of cad systems in microelectronics | 2017

Mathematical models of informative characteristic of tissues in surgical wound at monitoring the recurrent laryngeal nerve by electrophysiological method

Mykola Dyvak; Andriy Pukas; Natalia Padletska; Viktor Shidlovsky; Andriy Dyvak

In this paper the different approaches to creating the mathematical models for identification the recurrent laryngeal nerve by electrophysiological method are given.


2017 18th International Conference on Computational Problems of Electrical Engineering (CPEE) | 2017

Using a neural network with radial basis functions for task of recurrent laryngeal nerve monitoring based on electrophysiological approach

Mykola Dyvak; Andriy Pukas; Yurii Maslyiak; Petro Stakhiv; Marcin Cegielski

Electrophysiological approach of stimulation of surgical wound tissues for recurrent laryngeal nerve (RLN) localization is considered. It is proposed to use neural network (NN) that identifying the distance from stimulation point to RLN for this purpose. Method of NN learning based on interval data analysis is proposed.


international conference on modern problems of radio engineering, telecommunications and computer science | 2016

Mathematical and software tools for modeling objects with distributed parameters

Andriy Veremchuk; Andriy Pukas; Iryna Voytyuk; Iryna Spivak

In this paper the software system for constructing the mathematical macromodels for objects with distributed parameters using different methods of structure and parameters identification is considered.


international conference on experience of designing and applications of cad systems in microelectronics | 2015

Formalization the task of increasing the websites attendance based on management the dynamics of their characteristics

Anastasya Brushnicka; Andriy Pukas; Mykhailo Shpintal; Volodymyr Manzhula

It is shown in this paper that mathematical model of dynamics of Web site quality characteristics can be represented in kind of a system of linear differential equations with a set of influential factors. The main quality indicators of Web sites were defined and analyzed. At that integrated index of attendance is weighed value of Web site quality characteristics.


2015 16th International Conference on Computational Problems of Electrical Engineering (CPEE) | 2015

Macromodel of dynamics of the electric power generated by small hydroelectric power station based on interval data analysis

Mykola Dyvak; Andriy Pukas; Iryna Oliynyk

An approach to constructing the macromodel of dynamics of electric power generated by Small HydroElectric Power Station (SHEPS) based on interval data analysis is presented in the paper. A new method the estimation of macromodel parameters is proposed. Unlike the existing ones it provides possibility to get the multiple estimations of parameters and also it has low computational complexity.


intelligent data acquisition and advanced computing systems: technology and applications | 2011

Methods and tools for reducing the risk of damage the reverse laryngeal nerve during the surgical operation on a thyroid

Mykola Dyvak; Andriy Pukas; Myroslav Komar

The new method and tools for reverse laryngeal nerve identification from the muscle tissue in the operational wound during the operation on thyroid is proposed in this paper. New approach is based on creation the interval model of distance from probing point on a surgical wound to laryngeal nerve.


intelligent data acquisition and advanced computing systems: technology and applications | 2007

Design of Sequential Experiment for Creating of Interval Model for Ecological Monitoring Systems

Mykola Dyvak; Petro Stakhiv; Andriy Pukas

The process of construction of interval model of the field of nitric oxide concentrations based on results of sequential experiment is presented in paper. This model is used in the task of the ecological monitoring for a decision-making about a presence or absence of exceeding of boundary permissible concentration.


international conference on modern problems of radio engineering, telecommunications and computer science | 2006

Estimation of Efficiency of Adaptive Procedure of Creation of Interval Models for Decisions Support

Mykola Dyvak; Andriy Pukas

In paper the efficiency of optimum adaptive procedure of decisions support is described, which based on interval model that created by the result of sequential experiment.

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Mykola Dyvak

Ternopil National Economic University

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Iryna Voytyuk

Ternopil National Economic University

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Natalia Padletska

Ternopil National Economic University

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Iryna Oliynyk

Ternopil National Economic University

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Natalia Porplytsya

Ternopil National Economic University

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Olexandra Kozak

Ternopil National Economic University

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Taras Dyvak

Ternopil National Economic University

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Yurii Maslyiak

National Economics University

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Anastasya Brushnicka

Ternopil National Economic University

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Andriy Melnyk

Ternopil National Economic University

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