Information technologies, systems analysis and control

Fast Timer Encryption Method

A statistical-oriented method of data compression which using non traditional timer encryption is elaborated. The method uses special weight function. The necessary estimates of compression are developed. Proposed method of multiple system of labels for data compression and decompression method of collection of texts in one area of knowledge. It also was proposed to use a system of multiple labels for a set of texts, which are combined in solid archive. It was proved, that joint unzipping is more effective on the number of operations as a result – on time.

Evaluation Method of Reusable Software Components

The study proposes the evaluation method of reusable software components. The method provides the automated acquisition of properties values based on the directly measured metrics. To fulfill this method, we propose to develop two-level “property-metrics” models that support calculation of properties values based on the direct metrics values. By analyzing aspects of software components based on the 3C-model “conception–construction–context”, the ontology of appropriated properties is developed. The specific technique is proposed to create and to investigate the model properties.

Optimization of digital Control System from PI-D and I-pd controller

This article considers optimization algorithm of a digital control system from PI-D and I-PD controller on integrated quality criteria. Numerical methods, methods of dynamic optimization systems and digital control theory are used to construct the algorithm. The algorithm proposed allows conducting parametric synthesis of digital modifications of the proportional-integral-derivative (PID) control on integrated quality criteria of merit without the approximation stage of the plant dynamic properties.

Interval Fuzzy Clustering Based on Alternative Validity Indices

The paper studies several clustering validity indices (Kwon index, Xie Beni index, partition index) in view of the fuzzy parameter. We reveal the pattern of change in indices being researched against the fuzzy parameter change. We introduce an interval type-2 fuzzy clustering method based on combination of three validity indices. The membership values are presented as intervals. It allows preserving completeness of information on a set of their possible values, as well as reducing the influence of each specific index on uncertainty reflected in the result.

Coordinate Descent Method with Average Weighted Direction Heuristic

In this paper, we propose the heuristic for the coordinate descent method. It dramatically enhances the method convergence on “bad” functions for it. Also, we describe the theoretical foundation of the heuristic effectiveness. Furthermore, we propose the effective C++ implementation of the coordinate descent method with average weighted heuristic. Through experiments conducted, we assess the quality of the method under study as compared to gradient descent methods and Rosenbrock method. We show the strengths and weaknesses of this method.

Simulation of Thermal Field Rods Based on Differential Spectra Algebraic Properties

The article exemplifies modeling of the thermal field of the rod diameter d by applying the method based on algebraic properties of differential spectra. This enabled to reduce the value of modeling errors and to improve symbolic mathematical descriptions of physical fields. To this end, forward and reverse differential spectra of physical fields of the rod are constructed.

Numerical evaluation of probabilistic methods for non-continuous global optimization

Currently global optimization becomes a widely used technique for solving complex problems in physics, engineering, biology, economy and other fields of human activity. By using the developed computer program, we examine functionality and efficiency of modern global optimization methods such as Improving Hit-and-Run, Simulated Annealing, Genetic Algorithm, Modified Differential Evolution and Electromagnetism-Like-Mechanism.

Approximate Regulator for Evolutionary Inclusions subdifferential type

The article considers the problem of optimal stabilization for an evolution inclusion of subdifferential type with non-Lipschitz multi-valued interaction function of where – small parameter.

Using Forecasting Methodology for Evaluating Development Scenarios of the AR Crimea Argo-Industrial Sector

In this paper we study and formalize the processes of the strategic planning. We define the algorithm to structure and evaluate the development scenarios of the object under research as a part of the strategic planning. In addition, we propose the methodology for choosing actors' policies to achieve the desired future state of the researched system. This methodology takes into account the factors of benefits, costs, opportunities, and risks.

Data Analysis with Bayesian Models

In this paper, we propose to review some Bayesian data analysis models, namely the models with one and several parameters. Using statistical data and expert estimates, we develop the methodology for probabilistic models construction in the form of Bayesian networks. The methodology enables us to construct high adequacy probabilistic models for solving classification and forecasting problems. Furthermore, we propose an integrated dynamic network model by combining probabilistic and regression approaches.