A method of the wavelet transformation for estimation of geometrical parameters upon the diagnostic images

A problem of analyzing blood vessels on retinal images is considered. We suggest a method for extracting vessels using a wavelet transform. The wavelet transform is modified by adding a wavelet rotation parameter and normalization with respect to the signal energy within the wavelet carrier limits. The new methods, for constructing the vessel central lines based on the modified wavelet transform, are being used for vessels geometrical parameters estimation. The parameters of vessels that are located at the edge of the optic nerve disk are then used while diagnostic criteria formation for eye-ground pathological changes determining.     

Interoperability of the national system of electronic digital signatures

The reasons of the absence of interoperability of the National system of electronic digital signatures (EDS) are analyzed based on systems analysis. An attempt is made to substantiate the minimax (minimum costs and maximum results) way of solving interoperability problems in EDS infrastructure in both Ukraine and foreign states.     

Methods of handling of in-bulk agglomeration layer image representation for granulometric composition assessment

The analysis of methods of images handling is carried out, the method of dynamic threshold division which is based on the calculation of weight coefficient of points in the local area is suggested. The method of adaptive adjustment of the size of the local area of the image representation is carried out to define the threshold value. Also methods of binary recursive filtration and mathematical morphology to reduce interference are introduced. The article is published in the original. Evgenii Valentinovich Ershov. The first pro-rector, head of the department of PC software, professor of the Cherepovetsk State University. Finished postgraduate studies at the North-Western Polytechnic Correspondence Institute (the city of St. Petersburg) in 1993 and defended a Ph.D. thesis on specialty 05.02.11 “Methods of Control and Diagnostics in Mechanical Engineering.” Circle of scientific interests: the development of methods and principles for the building of multi-functional technical vision systems, their mathematical and software support. Five postgraduate students defended theses under his supervision. Author of 170 scientific and teaching works, including 4 monographs, 85 articles, of which 12 were published in reviewed journals, 39 theses of reports, 2 reports on SRD, 3 patents. Took part in 20 scientific and technical conferences in Moscow, St. Petersburg, Cherepovetsk, Kursk, Tambov, Vologda, Tula, Krasnoyarsk, Yoshkar Ola, and Kemerovo. Vera Vital’evna Selivanovskikh. Docent of the department of PC software of the Cherepovetsk State University. Finished postgraduate studies at the Cherepovetsk State University on specialty “Solid-State Physics” in 2000 and began to study the problem of the optic-electronic control over the quality of metallurgical industry products. Defended a Ph.D. thesis on specialty 05.13.06 “Automation and Management of Technological Processes and Productions” in 2007. Author of more than 30 scientific and teaching works, including 1 monograph, 7 articles, of which 2 were published in reviewed journals, 13 theses of reports. Took part in the scientific and technical conferences in Moscow, Cherepovetsk, Kursk, Tambov, Vologda, Tula, Yoshkar Ola. Oksana Georgievna Ganicheva. Docent of the department of PC software of the Cherepovetsk State University. Finished postgraduate studies at the Cherepovetsk State University and defended a Ph.D. thesis on specialty 05.13.06 “Automation and Management of Technological Processes and Productions” in 2007. Circle of scientific interests: the development and perfecting of methods for the optic-electronic control over the quality of metallurgical industry products. Author of more than 30 scientific and teaching works, including 1 monograph, 7 articles, of which 2 were published in reviewed journals, 10 theses of reports. Took part in the scientific and technical conferences in Cherepovetsk, Kursk, Vologda, Tula, Yoshkar Ola.     

Sensor management for tracking smart targets

We consider the problem of tracking a “smart” target. That is, a target that is aware it is being tracked and modifies its behaviour accordingly. To track such targets effectively it is necessary to modify the behaviour of the tracking sensor in response to the target. We consider that the best framework for such a problem is that of a mathematical game. In this paper, we consider an idealised version of this problem that illustrates some of the issues that can occur when attempting to track a smart target and the utility of a game theoretic framework.     

A test for stability robustness of linear time‐varying systems utilizing the linear time‐invariant ν‐gap metric

A stability robustness test is developed for internally stable, nominal, linear time‐invariant (LTI) feedback systems subject to structured, linear time‐varying uncertainty. There exists (in the literature) a necessary and sufficient structured small gain condition that determines robust stability in such cases. In this paper, the structured small gain theorem is utilized to formulate a (sufficient) stability robustness condition in a scaled LTI ν‐gap metric framework. The scaled LTI ν‐gap metric stability condition is shown to be computable via linear matrix inequality techniques, similar to the structured small gain condition. Apart from a comparison with a generalized robust stability margin as the final part of the stability test, however, the solution algorithm implemented to test the scaled LTI ν‐gap metric stability robustness condition is shown to be independent of knowledge about the controller transfer function (as opposed to the LMI feasibility problem associated with the scaled small gain condition which is dependent on knowledge about the controller). Thus, given a nominal plant and a structured uncertainty set, the stability robustness condition presented in this paper provides a single constraint on a controller (in terms of a large enough generalized robust stability margin) that (sufficiently) guarantees to stabilize all plants in the uncertainty set. Copyright © 2008 John Wiley & Sons, Ltd.     

Algorithm for identifying parameters of the dynamic system of an aircraft

The parameter identification problem for the nonlinear dynamic system of a sufficiently general form, in which the multipolynomial approximation algorithm processes measured data, is considered. To show the efficiency of the algorithm, an example of parameter identification for a nonlinear dynamic system with non-differentiable right-hand side is given and the identification problem for aerodynamic parameters of aircraft pitching motion is solved.     

Investigation of stability of nonlinear continuous-discrete models of economic dynamics using vector Lyapunov function. I

Modification and extension of procedures of strict analysis of stability and estimates of domains of attraction based on the reduction method with sublinear vector Lyapunov function is given for sufficiently wide class of nonlinear stabilization systems of continuous objects using piecewise constant control formed using discrete state measurements. The new type of realization of heterogeneous comparison systems in the form of interconnected differential and discrete impulse subsystems with varying right-hand side allowing to avoid preliminary discretization of the original system and thus increasing accuracy of investigations is proposed. In the case of nonlinearities (including those with respect to control and measurements), limited by semi-homogeneous functions. Constructive conditions of exponential stability with necessary quantitative estimates are formulated. Application to investigation of stability of economic growth in the Phillips-Bergstrom model with discrete monetary regulation is presented. The paper consists of two parts. In this part, the studied models are described, the studied stability property is defined, procedures for construction of vector Lyapunov function and comparison system are given, and some of their specific features are established.     

The Use of Context-Aware Policies and Ontologies to Facilitate Business-Aware Network Management

The purpose of autonomic networking is to manage the business and technical complexity of networked components and systems. However, existing network management data has no link to business concepts. This makes it very difficult to ensure that services offered by the network are meeting business objectives. This paper describes a novel context-aware policy model that uses a combination of modeled and ontological data to determine the current context, which policies are applicable to that context, and what services and resources should be offered to which users and applications.

Learning Situation Models in a Smart Home

This paper addresses the problem of learning situation models for providing context-aware services. Context for modeling human behavior in a smart environment is represented by a situation model describing environment, users, and their activities. A framework for acquiring and evolving different layers of a situation model in a smart environment is proposed. Different learning methods are presented as part of this framework: role detection per entity, unsupervised extraction of situations from multimodal data, supervised learning of situation representations, and evolution of a predefined situation model with feedback. The situation model serves as frame and support for the different methods, permitting to stay in an intuitive declarative framework. The proposed methods have been integrated into a whole system for smart home environment. The implementation is detailed, and two evaluations are conducted in the smart home environment. The obtained results validate the proposed approach.     

A simple index for assessing fuel moisture content

Assessing fuel moisture content to within a reasonable degree of accuracy is an important part of wildland fire management. In this paper we introduce a fuel moisture index that provides a simple and intuitive method for assessing fuel moisture content. The method can be quickly and easily applied in a field setting to provide a dimensionless measure of fuel moisture content. We compare the index with predictions from several models for fuel moisture content and conclude that it provides an equivalent measure of fuel moisture content for a number of fuel types. We go on to briefly discuss how the index could be used to construct a simple and intuitive fire danger index.