Moscow, Russia

Moscow Power Engineering Institute is one of the largest institutions of its kind, and is one of the leading technical universities in the world in the area of power engineering, electronics and IT. It is located in Moscow, Russia, and was founded in 1930. In Russian Federation the education in universities is available in Russian medium only. Therefore, before the main education courses would start, the foreign applicants to university courses should pass the Preliminary course for training in Russian language, followed by the State Test in Russian language . Fifteen years ago MPEI launched the program of education for foreign students in English medium, however in only one specialty – Computer Engineering. MPEI invested considerate time and resources into this program, they selected a group of leading professors who spoke English fluently, who in turn prepared the educational materials in English. Now MPEI accepts annually one full group of foreign students who speak English fluently for this IT educational program in English Language. All classes here are provided in English, hence the students in this program do not require the preliminary training in Russian language, i.e. the educational period becomes one year shorter. The annual tuition fee for this program however is more expensive, since this program is conducted in English, unlike the rest of the programs. Wikipedia.


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Technological revolution means robots no longer are the song of the future. The Governor of the Bank of England predicts today that up to half of British workforce face redundancy in the imminent 'second machine age'. No wonder, the research of multi-robot systems generates serious buzz both for promising (albeit at times scary) results and for their application prospects in the real world. According to a leading American roboticist Ken Goldberg, people are fascinated with robots because robots reflect people. And hardly anything defines humans better indeed than their ability to communicate. Recent progress in programming, language processing and machine learning allows robot to display more and more complex communication abilities. Underlying these advances are solutions to significant problems of different origins, including mechanical design, sensing technologies, maintenance and power sources. With improved efficiency and the elimination of a single point of failure, multiple robots outperform single robots in domains that require greater capability and knowledge and can duly interact with each other, sharing information and executing tasks. But how the multi-robot system is supposed to handle increasingly complex and precise tasks? One fairly obvious answer to this question lies within the implementation of an innovative algorithm, which would expand communicational capabilities for multi-robot collaborative task. For the system to work, it needs to be less prone to error, fast, and reliable comparing to the any other, including, human approaches. A ground-breaking research conducted by the Moscow Power Engineering Institute, just published in Paladyn, Journal of Behavioral Robotics, reveals new findings in the emerging field of a multi-robot cooperative system design from its experimental side. In the article, - Vladimir Alexandrov, Konstantin Kirik and Alexander Kobrin propose the implementation of a hardware-based modeling system for multi-robot collaborative tasks focusing on the development and implementation phase of an algorithm/system creation. Their approach results in speeding up implementation iterations, ultimately leading to enhanced communicational capabilities of research objects. The Muscovite researchers concentrate not only on architecture and implementation of the research robot, but also on communication system with parallel radio and infrared bidirectional data exchange, and on strategies of implementation of simulation toolchain. Due to significant progress made in the development of general problems concerning single-robot control and basic multi-robot behavior, many researchers shifted their focus to a study of multi-robot coordination and deep cooperation behavior. Robots themselves shall be capable to perform all necessary algorithmic steps. Therefore, using tightly coupled modelling hardware and simulation toolchain, that transfers the full implementation of algorithms onto the hardware, can bring certain benefits."The new methods are attractive, as they integrate different new ideas concerning the algorithm design process, event-driven robot software design, and an autonomous mobile research robot equipped with an advanced sensor subsystem", says Professor Radu-Emil Precup, a specialist in development of new control systems and algorithms. The original article is available fully in open access to read, download and share on De Gruyter Online. Explore further: Continuous adaptation makes for more natural interactions between robots and humans in shared tasks More information: Vladimir Alexandrov et al, A hardware-based modeling approach for real world collaborative multi-robot tasks, Paladyn, Journal of Behavioral Robotics (2016). DOI: 10.1515/pjbr-2016-0003


News Article | December 14, 2016
Site: www.eurekalert.org

Technological revolution means robots no longer are the song of the future. The Governor of the Bank of England predicts today that up to half of British workforce face redundancy in the imminent 'second machine age'. No wonder, the research of multi-robot systems generates serious buzz both for promising (albeit at times scary) results and for their application prospects in the real world. According to a leading American roboticist Ken Goldberg, people are fascinated with robots because robots reflect people. And hardly anything defines humans better indeed than their ability to communicate. Recent progress in programming, language processing and machine learning allows robot to display more and more complex communication abilities. Underlying these advances are solutions to significant problems of different origins, including mechanical design, sensing technologies, maintenance and power sources. With improved efficiency and the elimination of a single point of failure, multiple robots outperform single robots in domains that require greater capability and knowledge and can duly interact with each other, sharing information and executing tasks. But how the multi-robot system is supposed to handle increasingly complex and precise tasks? One fairly obvious answer to this question lies within the implementation of an innovative algorithm, which would expand communicational capabilities for multi-robot collaborative task. For the system to work, it needs to be less prone to error, fast, and reliable comparing to the any other, including, human approaches. A ground-breaking research conducted by the Moscow Power Engineering Institute, just published in Paladyn, Journal of Behavioral Robotics, reveals new findings in the emerging field of a multi-robot cooperative system design from its experimental side. In the article, - Vladimir Alexandrov, Konstantin Kirik and Alexander Kobrin propose the implementation of a hardware-based modeling system for multi-robot collaborative tasks focusing on the development and implementation phase of an algorithm/system creation. Their approach results in speeding up implementation iterations, ultimately leading to enhanced communicational capabilities of research objects. The Muscovite researchers concentrate not only on architecture and implementation of the research robot, but also on communication system with parallel radio and infrared bidirectional data exchange, and on strategies of implementation of simulation toolchain. Due to significant progress made in the development of general problems concerning single-robot control and basic multi-robot behavior, many researchers shifted their focus to a study of multi-robot coordination and deep cooperation behavior. Robots themselves shall be capable to perform all necessary algorithmic steps. Therefore, using tightly coupled modelling hardware and simulation toolchain, that transfers the full implementation of algorithms onto the hardware, can bring certain benefits. "The new methods are attractive, as they integrate different new ideas concerning the algorithm design process, event-driven robot software design, and an autonomous mobile research robot equipped with an advanced sensor subsystem", says Professor Radu-Emil Precup, a specialist in development of new control systems and algorithms. The original article is available fully in open access to read, download and share on De Gruyter Online.


Potapov O.P.,Moscow Power Engineering Institute
Thermal Engineering | Year: 2016

Due to termination of work at the Leningrad Shale Deposit, the Russian shale industry has been liquidated, including not only shale mining and processing but also research and engineering (including design) activities, because this deposit was the only commercially operated complex in Russia. UTT-3000 plants with solid heat carrier, created mainly by the Russian specialists under scientific guidance of members of Krzhizhanovsky Power Engineering Institute, passed under the control of Estonian engineers, who, alongside with their operation in Narva, construct similar plants in Kohtla-Jarve, having renamed the Galoter Process into the Enifit or Petroter. The main idea of this article is to substantiate the expediency of revival of the oil shale industry in Russia. Data on the UTT-3000 plants' advantages, shale oils, and gas properties is provided. Information on investments in an UTT-3000 plant and estimated cost of Leningrad oil shale mining at the Mezhdurechensk Strip Mine is given. For more detailed technical and economic assessment of construction of a complex for oil shale extraction and processing, it is necessary to develop a feasibility study, which should be the first stage of this work. Creation of such a complex will make it possible to produce liquid and gaseous power fuel from oil shale of Leningrad Deposit and provide the opportunity to direct for export the released volumes of oil and gas for the purposes of Russian budget currency replenishment. © 2016, Pleiades Publishing, Inc.


Kruzhilov I.S.,Moscow Power Engineering Institute
Journal of Applied Remote Sensing | Year: 2012

The author presents a technique to calculate instrument stellar magnitudes for silicon photosensors used in modern star trackers as well as estimates the error of the said technique. The technique implies calculation of instrument stellar magnitudes as specifically selected functions of color indices B-V, V-J of the Tycho-2 and two micron all sky survey (2MASS) catalogs. This function is a sum of basis functions with coefficients determined based on star trackers' response. The coefficients are calculated individually for each star tracker response. Calculation of the coefficients of the function is done using the least squares method for color indices of artificial stars. Spectra of artificial stars are created on the basis of reddening of typical subclasses spectra without interstellar extinction, such spectra taken from the Pickles catalog. Thickness of interstellar medium for reddening is selected basing on random law. Validation of accuracy of the proposed methodology is performed by calculating star brightness for standard photometric bands R and I and subsequent comparison of the obtained results with actual data. Such check indicates that the root-mean-square deviation of error is not over 0.08 m. Due to usage of data related to star brightness in J band of 2MASS catalog, the number of stars in the guide star catalog is increased by 30% as compared with using data only from Tycho and HIPPARCOS catalogs. © 2012 Society of Photo-Optical Instrumentation Engineers.


Borisov A.V.,Moscow Power Engineering Institute
Mechanika | Year: 2010

In practice it is often necessary to conduct analysis of systems, with multilayer objects, each layer of which has individual properties. Deformations and stresses inside a system consisting of an arbitrary finite number of thickwalled spheres are investigated in the present article. Each sphere is characterized by its elastic modules. The zone of contact between each of the spheres is continuous on the surface. This problem can be completely solved analyticaly. The relations of pressure on the limits of the sphres, stress tensors and deformations inside the spheres are obtained. The findings have the relevant practical value.


Bracikowski N.,University of Lille Nord de France | Hecquet M.,University of Lille Nord de France | Brochet P.,University of Lille Nord de France | Shirinskii S.V.,Moscow Power Engineering Institute
IEEE Transactions on Industrial Electronics | Year: 2012

This paper describes the modeling of a permanent magnet synchronous machine (PMSM) by using lumped models (LMs). Designing electrical machines necessarily involves several fields of physics, such as electromagnetics, thermics, mechanics, and acoustics. Magnetic, electrical, electronic, and thermal parts are represented by LMs, whereas vibro-acoustic and mechanical parts are represented by analytical models. The aim of this study is to build a design model of a PMSM for traction applications. Each model is parameterized to optimize themachine. The method of taking into account saturation and movement is described. These fast, LMs make it possible to couple the software used with optimization tools. Simulation results are presented and compared with the finite-element method and the experiments performed. © 2011 IEEE.


Valueva E.P.,Moscow Power Engineering Institute
High Temperature | Year: 2012

Modes of normal and degraded (with peaks of wall temperature) heat transfer are computed for the turbulent flow of carbon dioxide within a circular tube at supercritical pressure. Computation is based on a set of motion, continuity, and energy equations written under the approximation of a narrow channel. The turbulence model uses the Prandtl formula for the turbulent viscosity. The relationship for the travel length takes into account the effect of variation in the fluid properties and thermal acceleration through the tube section. Computation results for variation in the wall temperature along the tube fit the experimental data. An explanation is given for causes of the appearance of the peak on the wall temperature distribution along the tube in the area, where the fluid temperature is close to the pseudocritical temperature. © 2012 Pleiades Publishing, Ltd.


Bobrov V.B.,Moscow Power Engineering Institute
Theoretical and Mathematical Physics | Year: 2014

In the framework of the adiabatic approximation for a subsystem of nuclei with the average distance between them significantly exceeding the dimensions of the initial atom, we consider a nonrelativistic Coulomb system consisting of electrons and nuclei of one type for the temperature range where we can restrict ourself to using the ground state to describe the electron subsystem. We show that the equilibrium properties of such a system are equivalent to the thermodynamic properties of the one-component system of initial atoms interacting between themselves via a short-range potential that is the effective potential of the nucleus-nucleus interaction. In the framework of the applicability of Boltzmann statistics, we present quantum group expansions for the thermodynamic properties of a chemically reacting rarified gas that correspond to the method of initial atoms. © 2014 Pleiades Publishing, Ltd.


Pereskokov A.V.,Moscow Power Engineering Institute
Theoretical and Mathematical Physics | Year: 2014

We consider the problem for eigenvalues of a perturbed two-dimensional oscillator in the case of a resonance frequency. The exciting potential is given by a Hartree-type integral operator with a smooth self-action potential. We find asymptotic eigenvalues and asymptotic eigenfunctions near the upper boundary of spectral clusters, which form around energy levels of the nonperturbed operator. To calculate them, we use asymptotic formulas for quantum means. © 2014 Pleiades Publishing, Ltd.


Vagin V.,Moscow Power Engineering Institute | Fomina M.,Moscow Power Engineering Institute
International Journal of Machine Learning and Cybernetics | Year: 2011

The problem of information generalization for real data that may contain noisy data is considered. Various models of information noise are presented, and the influence of noise to the algorithms of generalization is discussed. We used the methods of constructing decision trees and forming production rules. The results of the modeling are presented. © 2011 Springer-Verlag.

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