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Bubnov G.,Moscow Technological Institute | Titarenko B.,Moscow State University | Titov S.,Moscow Technological Institute | Titarenko R.,Moscow State University of Economics, Statistics and Informatics
2015 5th International Workshop on Computer Science and Engineering: Information Processing and Control Engineering, WCSE 2015-IPCE | Year: 2015

The article deals with problem of prioritizing IT project risks. The widely used tool of risk prioritization is so called risk matrix which sometimes called also as probability and impact matrix. This matrix includes two dimensions-probability of risks and impact of risks on a project. In many situations the more flexible approach can be applied with the help of the risk maps that are describe in the text below. The risk maps seem to be especially useful for IT projects which are characterized by the big number of various risks and very dynamic environments.


Titarenko B.,Russian State Social University | Titov S.,Moscow Technological Institute | Titarenko R.,Moscow State University of Economics, Statistics and Informatics
Applied Mechanics and Materials | Year: 2014

The report deals with projects risk management approaches and methods. The methods are based upon the main provisions of the following standards: International Competence Baseline, published by International Project Management Association – IPMA [1] and National Competence Baseline published by Russian Project Management Association – SOVNET [2]. It is known two types of risk management methods: qualitative and quantitative. Qualitative methods deal with procedures that reduce the risk of risk situations and the quantitative methods allow to produce quantitative estimates of the proposed activities using SOVNET system methodology [3,4]. © (2014) Trans Tech Publications, Switzerland.


Astakhova N.N.,Ryazan State Radio Engineering University | Demidova L.A.,Ryazan State Radio Engineering University | Nikulchev E.V.,Moscow Technological Institute
Contemporary Engineering Sciences | Year: 2015

The paper is focused on the development of the forecasting method for time series' groups with application of the clustering algorithms. Fuzzy c-means algorithm (FCM algorithm) is suggested to be a basic one for clustering. The coordinates of the clusters' centers have been put in correspondence with summarizing time se-ries data - the clusters' centroids. A description of time series, the clusters' cen-troids, is implemented with application of the forecasting models. They are based on the strict binary trees and the modified clonal selection algorithm. The forming possibility of analytic dependences with application of such forecasting models, is shown. It is suggested to use a common forecasting model, which is constructed for time series - the clusters' centroids, in forecasting for the private (individual) time series in the cluster. The use advantage of FCM algorithm in comparison with k-means algorithm for the clustering of time series' groups is shown. The promising application of the suggested forecasting method for forecasting of time series' groups is demonstrated. © 2015 Nadezhda N. Astakhova et al.


Nikulchev E.V.,Moscow Technological Institute | Kondratov A.P.,Moscow State University of Printing Arts
Advanced Studies in Theoretical Physics | Year: 2015

This work has proposed a method to robust chaos generation in the invariant centre manifoldas. It consists of central manifold theory combined with the polynomial chaos approach and symmetry theory. © 2015 Evgeny V. Nikulchev and Alexander P. Kondratov.


Pluzhnik E.,Moscow Technological Institute | Lukyanchikov O.,Moscow State University | Nikulchev E.,Moscow Technological Institute | Payain S.,Moscow Technological Institute
2015 5th International Workshop on Computer Science and Engineering: Information Processing and Control Engineering, WCSE 2015-IPCE | Year: 2015

Designing applications for use in a hybrid cloud has many features. These include dynamic virtualization management and an unknown route switching customers. This makes it impossible to evaluate the query and hence the optimal distribution of data. In this paper, we formulate the main challenges of designing and simulation offer installation for processing.


Nikulchev E.,Moscow Technological Institute | Ilin D.,Moscow Technological Institute | Biryukov D.,Moscow Technological Institute | Bubnov G.,Moscow Technological University
Contemporary Engineering Sciences | Year: 2016

At the present time the technology market is constantly growing, new technologies emerge every day so it makes it hard to track all of them and evaluate their potential. Therefore, it is difficult to decide if they are promising enough to be learned and integrated into a professional education system. It is necessary to take into account that the growing demand for professionals follows the growing demand for specific technology, while the education process, in general, takes significant time. As a consequence, the acute need to change the stafftraining approach from reactive to proactive arises. The article suggests methods of expertise demand monitoring for the IT sector, based on comprehensive monitoring of the Web, including employers' demands, company history and publications. Specialized software, implemented for solving forecasting problems, will be used as the main tool for market demands forecasting. © 2016 E. Nikulchev, D. Ilin, D. Biryukov and G Bubnov.


Pluzhnik E.,Moscow Technological Institute | Nikulchev E.,Moscow Technological Institute
2014 2nd International Conference on Emission Electronics, ICEE 2014 Joined with 10th International Vacuum Electron Sources Conference, IVESC 2014, International Conference on Computer Technologies in Physical and Engineering Applications, ICCTPEA 2014, 20th International Workshop on Beam Dynamics and Optimization, BDO 2014 - Proceedings | Year: 2014

Modern educational institutions widely used virtual laboratories and cloud technologies. In practice must deal with security, processing speed and other tasks. The paper describes the experience of the construction of an experimental stand cloud computing and network management. Models and control principles set forth herein. © 2014 IEEE.


Nikulchev E.V.,Moscow Technological Institute
Advanced Studies in Theoretical Physics | Year: 2014

Task simulation of dynamic chaos in the observed time series is given a lot of attention. Strange attractors are observed in many application processes. Therefore, the task of simulation is important for controlling and predicting in the dynamic behavior. In the article we consider the problem of constructing the model on the properties of the observed data. Requirements for the model are simulating signal quality with adequate properties of the original process. An efficient model that allows you to build a robust chaos developed. Computational examples are given here. © 2014 E. Nikulchev.


Nikulchev E.V.,Moscow Technological Institute
2014 International Conference on Computer Technologies in Physical and Engineering Applications, ICCTPEA 2014 - Proceedings | Year: 2014

Robust chaos used in communication systems and communication. In the generated chaos in the case of a variation of parameters should not have periodicity windows. Besides, the dependence of older Lyapunov exponent is a function smoothly in wide range. A method of generating structural sustainable models based on the properties of weak violations of symmetries in the areas strange attractors. © 2014 IEEE.


Bocharov P.,Wheely | Goryashko A.,Moscow Technological Institute | Nikulchev E.,Moscow Technological Institute
International Review on Modelling and Simulations | Year: 2016

We propose a new approach to investigating such non-cooperative games, as tournaments and evolutionary games. Our model of symmetric game is based on partition classes of integers, and the rules are similar to those of well-known Colonel Lotto game. We present detailed model of dynamics of evolutionary game with two populations of matrix strategies. A win (according to Lotto game’s rules) leads to precise replication of the winning strategy, a loss leads to eliminating the losing strategy. We specify efficiently computable properties of partitions allowing to classify the set of partitions according to their winning ability and present detailed simulation results for the evolutionary Lotto game with (100,10)-partitions. The results of the simulations fully support the classification principles we are proposing. © 2016 Praise Worthy Prize S.r.l. -All rights reserved.

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