Brest State Technical University
Brest, Belarus

Brest State Technical University is situated in Brest, Belarus. It began as Brest State Civil Engineering Institute on April 1, 1966, that was reorganized into Brest State Polytechnic Institute in 1989 and eventually into a University in 2000. Wikipedia.

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Gerdt V.P.,Joint Institute for Nuclear Research | Prokopenya A.N.,Brest State Technical University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2012

We consider an application of the Mathematica package QuantumCircuit to simulation of quantum circuits implementing two of the best known quantum algorithms, namely, the Grover search algorithm and the Shor algorithm for order finding. The algorithms are discussed in detail and concrete examples of their application are demonstrated. The main features of the package QuantumCircuit which can be used for the simulation of an arbitrary quantum algorithm are briefly described. © 2012 Springer-Verlag.

Tur V.V.,Brest State Technical University | Derechennik S.S.,Brest State Technical University
High Tech Concrete: Where Technology and Engineering Meet - Proceedings of the 2017 fib Symposium | Year: 2017

One of the most important sections of a new version of EN 206 is the concrete strength conformity control. In spite of some changes in the assessment procedure introduced in the new version of this standard (A, B, C conformity assessment methods), the main problem of this document is related to uncertainties in conformity assessment of the concrete strength based on a limited number of test results (less than 15) recorded at the initial production stage. As it was shown in numerous international publications, conformity criteria for initial production are often vague and based on arbitrary suggestions, sometimes without coherent probabilistic background. These criteria are strongly influenced by type of probability density function in population, standard deviation, shape of specimen. The paper presents an innovative criterion for conformity assessment of concrete strength which was developed based on non-parametric order statistics with some modification of the estimation procedure. Based on non-parametric confidence interval, estimator for p = 0.05 quantile was obtained. Probabilistic transformation (Laplace inverse function) and subsequent three-point linear approximation has been applied to the proposed non-linear model for the quantile estimator. Proposed criterion was positively verified based on numerical analysis (an AOQL concept with Monte Carlo simulations) as well as on data of concrete strength records of the real production. © Springer International Publishing AG 2018.

Golovko V.A.,Brest State Technical University | Golovko V.A.,National Research Nuclear University MEPhI
Optical Memory and Neural Networks (Information Optics) | Year: 2017

In the present paper, we examine and analyze main paradigms of learning of multilayer neural networks starting with a single layer perceptron and ending with deep neural networks, which are considered regarded as a breakthrough in the field of the intelligent data processing. The baselessness of some ideas about the capacity of multilayer neural networks is shown and transition to deep neural networks is justified. We discuss the principal learning models of deep neural networks based on the restricted Boltzmann machine (RBM), an autoassociative approach and a stochastic gradient method with a Rectified Linear Unit (ReLU) activation function of neural elements. © 2017, Allerton Press, Inc.

Hladkouski V.I.,Brest State Technical University | Pinchuk A.I.,Brest State Technical University
Physics Teacher | Year: 2015

While the radiometer is readily available as a toy, A. E. Woodruff notes that it is also a very useful tool to help us understand how to resolve certain scientific problems. Many physicists think they know how the radiometer works, but only a few actually understand it.1 Here we present a demonstration that shows that a radiometer can be thought of as a heat engine. © 2015 American Association of Physics Teachers.

Gerdt V.P.,Joint Institute for Nuclear Research | Prokopenya A.N.,Brest State Technical University
Programming and Computer Software | Year: 2010

Algorithms for calculating unitary matrices determined by quantum circuits are discussed. The algorithms are used in the program QuantumCircuit designed for modeling quantum circuits. Practical implementations of the algorithms as functions written in the language of the Mathematica system are suggested. © Pleiades Publishing, Ltd., 2010.

Imada A.,Brest State Technical University
Communications in Computer and Information Science | Year: 2014

The 8th International Conference on Neural Network and Artificial Intelligence organizes a round table discussion where, thinking of the title of this conference 'neural network and artificial intelligence,' we discuss whether we will be able to achieve a real human-like intelligence by using an artificial neural network, or not. This article is to break the ice of the session. We argue how these proposed machines, including those by neural networks, are intelligent, how we define machine intelligence, how can we measure it, how those measurements really represent an intelligence, and so on. For the purpose, we will take a brief look at a couple of formal definitions of machine intelligence so far proposed. We also take it a consideration on our own definition of machine intelligence. © Springer International Publishing Switzerland 2014.

Kachurka P.,Brest State Technical University | Golovko V.,Brest State Technical University
Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS'2011 | Year: 2011

Modern intrusion detection systems process large amounts of data. Most systems use signature- and rule-based approaches to find attack traces. The main disadvantage of such technologies is the need of continuous updating of signature database to let the system detect newest attacks. We present recirculation neural network based approach which lets to detect previously unseen attack types in real-time mode and to further correct recognition of this types. The experiments held on both KDD data and real network traffic data prove that this approach can be used in host-based anomaly and misuse detectors. © 2011 IEEE.

Imada A.,Brest State Technical University
Advances in Intelligent Systems and Computing | Year: 2015

This chapter is a summary of my talk given during the 19th International Multiconference on Advanced Computer Systems held in Miedzyzdroje, Poland in October 2014. The talk started with the Legg and Hutter’s formal definition of what they call Universal Machine Intelligence which aims to measure intelligence of almighty robot,where agents are given an infinitely large number of different types of task to measure its universal intelligence.We take it a consideration what if we apply the formula to only one specific task. We claim the measurement of performance for each of those tasks given in the Legg and Hutter’s definition is not sufficient to represent agent’s intelligence. Then, we present our ongoing definition of machine intelligence for a specific one task such as forecasting stock market price. © Springer International Publishing Switzerland 2015.

Imada A.,Brest State Technical University
Communications in Computer and Information Science | Year: 2014

The 8th International Conference on Neural Network and Artificial Intelligence invites a plenary talk whose topic is Forest Resource Maintenance. It's not specifically from the point of information technology but from a general point of view. Thinking of the title of this conference, 'neural networks and artificial intelligence,' the talk follows this literature review on the topic of forest management by neural network and/or artificial intelligence. While focus is mainly put on wildfire prediction, also preservation of biodiversity of forest ecosystems and forest resource management are surveyed. Comparison of these methods with traditional statistical methods such as regression is mentioned too. © Springer International Publishing Switzerland 2014.

Chichurin A.V.,Catholic University of Lublin | Shvychkina H.N.,Brest State Technical University
Mathematical Biosciences | Year: 2016

We consider Michaelis-Menten chemostat dynamic models, describing the process of continuous cultivation of bacteria with one organic substrate and two types of microorganisms in a case where the Michaelis-Menten constants for the two competing species of microorganisms are equal. For such a system we obtain solutions with the finite initial conditions assuming only positive values. As it is shown the problem is reduced to the solution of the nonlinear differential equation of the first order. For some parametric relations the solutions of the differential system are found in the analytical form. Using numerical procedures we construct software modules that allow modeling the chemostat cultivation for the changing parameters and visualizing the dynamics of the development process for each microorganism. A comparative analysis of some numerical methods that are used to integrate the resulting nonlinear differential equation is given. © 2016 Elsevier Inc.

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