The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
The task of nondestructive testing and diagnostics of pipeline networks by the method of acoustic tomography is considered. For the detect weak signals in the additive mixture of noise, it is proposed to perform digital correlation analysis of signals based on binary sign-function analog-stochastic quantization. In the process of such quantization is formed limited by the level of bipolar sign signal,...
Algorithms for algebraic Bayesian networks external and internal consistency maintenance are considered in the paper. An implementation of classes' structure representing algebraic Bayesian networks is proposed. The main approaches used in the consistency algorithms implementation as well as use cases of developed methods are provided. The proposed structure can later be re-used in the global inference...
The results of the statistical estimation of the phase modulated signal parameters in white Gaussian noise are given. Measurable functions of the complete sufficient statistics for the phase parameters' estimates under the conditions of a priori uncertainty of the signal amplitude and noise variance were found. The simulation results of the demodulation process using LabVIEW software environment and...
The aim of the paper is providing resistance of the deniable encryption protocols to coercive attacks at which coercer has possibility to cause repeated encryption of the same input messages and/or to estimate the duration of the decryption procedure performed for disclosing the secret message. It is used the method of randomizing the encryption process and the same decryption algorithm is specified...
The use of the Bayesian approach with the aim of its application to the processes of various types is a rather urgent task of evaluating statistical as well as mathematical models. The Bayesian methodology is an alternative to the classical statistical approach, this methodology makes it possible to give the models under study the most complete and accurate estimate. Also, the Bayesian approach provides...
Algorithm of global posteriori inference in algebraic Bayesian networks is considered in the paper. The results obtained earlier for local a posteriori inference are briefly presented. Main steps of global propagation algorithm are described in details. A transition matrix from the vector of knowledge pattern elements to the virtual evidence, propagated to the next knowledge pattern, is proposed....
The paper describes the approach of optimal control organization in case of random effects presence based on the values of the entropy potentials of the controlled parameters. It is proposed to use these values as criteria of optimality with subsequent “integration” them into the optimization problem. In the present paper are observed the features and possibilities of using different variants of criteria...
In the paper are observed methods for synthesis of the information model of the systems' evolution for the variation properties of their parameters. It is proposed to carry out the variations description based on entropy potentials values. As a result, it is possible to obtain compact and representative models in various situations with the original data. The synthesis of these models requires the...
The paper considers organization of soft coordination of streaming informational processes' interaction in space that enables to carry out distributed non-algorithmic processing of signals mixed as to the form of their presentation. The advantage of this approach is enlarged fault-tolerance, survivability and performance.
Methods of expert assessment are considered. Key problems of expert evaluating are listed. Model of automatic expert system is introduced. Method of aggregation of heterogeneous expert assessment is proposed.
Dynamic goniometers are used for angle encoder's calibration. Dynamic goniometer's measurement uncertainty is caused by the errors of the reference angle encoder, bearings and drive. Investigation of the influence of the used bearings on the result of measurements was the main goal of the work. Results of the study of dynamic goniometer with different type of bearings are presented. Studies carried...
The objective of this paper is the analysis of Bayes mathematical systems of pattern recognition for identifying the objects on hyperspectral photographs. The analysis of statistical characteristics of pattern recognition models according to Bayes criterion we used as the primary research method. In the paper we considered three basic mathematical models, among which were used the criteria of Bayes,...
A mathematical model of expertise with the participation of several independent expert groups is proposed. Methods for estimating the proximity of the expert judgment vectors based on various metrics within the framework of the proposed model are considered.
In short observational records, with reducing the data length it becomes increasingly difficult to distinguish between long-term and short-term memory based on the analysis of single data series. Here we investigate the applicability of autoregressive modelling to long-term correlated data. The applicability of AR model is shown in terms of the autocorrelation function and power spectral density.
The socially significant behavior model was extended with hidden variables for more accurate assessment of the intensity. These hidden variables are characterizing the actual respondents' last episodes values, cause due to the social significance of behavior respondents' answers can be shifted. The purpose of the paper is to analyze this extended model. The functioning of the extended model is considered...
Generalization of decision-making procedures is based on fixed results of comparison of measurement standards, based either on establishing a conditional distribution of the comparison result with a fixed value of the difference of systematic errors, or on a fixed value of the comparison result in establishing the conditional distribution of the probability of determining the systematic error. Conditional...
We verify the validity of the recently suggested universal superstatistical model for the modeling of the aggregated local network traffic. The empirical data set consists of 14 complete daily traffic logs obtained at the link between the Internet Service Provider (ISP) and the local subnet comprising part of the campus network of Ivanovo State University. We show explicitly that the superstatistical...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.