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News Article | August 1, 2017
Site: www.prnewswire.co.uk

NUST MISIS, one of Russia's leading technological universities, and Cognitive Technologies, a company which develops artificial intelligence systems for unmanned vehicles, will jointly organize VisionHack 2017. According to Alevtina Chernikova, Rector of NUST MISIS: "It is not a coincidence that Russia and NUST MISIS have become a venue for holding such high-level events-Russia has one of the world`s best schools for the development of artificial intelligence. Today, our domestic developments in the field of computer vision are highly rated by leading international experts, and the NUST MISIS team for several years in a row has reached the final of the ACM/ICPC international programming championship." A hackathon (an international forum of IT developers) like this, dedicated to computer vision technologies and unmanned vehicles, is the first of its kind in the entire world. More than 30 teams from world leading universities such as MIT (USA), the University of Cambridge (Great Britain), ASU (USA), Hong Kong University of Science and Technology (P.R. China), University Paris-Saclay (France), the University of Science and Technology Beijing (P.R. China), and UPC (Spain) have announced their participation in the hackathon. The total number of hackathon participants is about 150 people, and the prize fund exceeds $30,000, which is a record for such an event. Computer vision in application of practical tasks for the driving of unmanned vehicles, which is currently one of the most relevant and popular directions of artificial intelligence, has become the competition's main theme. The participants' aim will be to create their own intellectual subsystem for driver assistance and ADAS (advanced driver assistance system) capable of automatically detecting various events on the road (small circumstances, which sometimes seriously affect traffic safety) such as: a car stopped in the middle of the street with its hazard lights on; a dog or small child about to cross the street; the sun shining on a turn and blinding a driver, etc. Participants will be given a large array of data - several hundred 10-second videos, which will show different road situations and problems. "Participants will have to solve real and significant practical issues of computer vision for unmanned vehicles. We hope that the intelligent subsystems developed by participants will be included in the ADAS product lines, and will be able to significantly improve road safety, as well as to provide drivers with the necessary level of comfort. We are sure that the hackathon winners will be able to increase their value as specialist-professionals of the highest class, for whom doors to the world's leading AI development companies are open," said Olga Uskova, president of the Cognitive Technologies group. The winner of the hackathon will be the team which provides the most accurate and comprehensive solution to the set of proposed road situations. Additionally, the organizers will prepare secondary prizes for qualitative decisions on specific developments. VisionHack will be held in 2 rounds: the preliminary selection stage, from July 13th to 31st, where participants will be asked to solve test tasks. The best teams will be invited to participate in the on-site competition. Both individuals and teams (3-5 people) can register. The panel of judges will include world-famous specialists in the field of IT and artificial intelligence, business representatives, venture funds, and development institutions. An extensive educational program and meetings with prominent representatives of the IT field (especially in the field of unmanned vehicles) will be organized for the hackathon. Top managers of famous Russian and international companies will act as mentors and lecturers at the event. The top managers of large Russian enterprises such as Alfa Group, Severstal, VEB, Rosatom, Gazprombank, and representatives of the Russian Government will be invited to the event as honorary guests. World-renowned companies and developers of artificial intelligence, unmanned technologies, and hardware are among the event`s business partners. Please contact the organizers if you have any additional questions at visionhack@misis.ru The National University of Science and Technology MISIS is one of Russia's most dynamically developing centers for research and education. Being among the leaders of technology education in Russia, NUST MISIS is also a large research center. In 2015 NUST MISIS entered The Times Higher Education World University Rankings and strengthened its position in the QS World University Rankings. In 2016, NUST MISIS was the only Russian university to enter the Times Higher Education: World's Best Small Universities Ranking, and also continued to climb in the QS regional rankings. The strategic goal of NUST MISIS is to become a global leader in the fields of materials science, metallurgy, and mining, as well as to strengthen its position in the fields of biomaterials and nano- and IT technologies by 2020. The University comprises 9 institutes and 4 branches - three in Russia and one abroad. More than 15,000 students are being trained at NUST MISIS. 27 laboratories and 3 world-class engineering centers, where leading international scientists work, operate at NUST MISIS. The University successfully implements joint projects with both well-known Russian and international high-tech companies.


News Article | August 1, 2017
Site: www.prnewswire.com

NUST MISIS, one of Russia's leading technological universities, and Cognitive Technologies, a company which develops artificial intelligence systems for unmanned vehicles, will jointly organize VisionHack 2017. According to Alevtina Chernikova, Rector of NUST MISIS: "It is not a coincidence that Russia and NUST MISIS have become a venue for holding such high-level events-Russia has one of the world`s best schools for the development of artificial intelligence. Today, our domestic developments in the field of computer vision are highly rated by leading international experts, and the NUST MISIS team for several years in a row has reached the final of the ACM/ICPC international programming championship." A hackathon (an international forum of IT developers) like this, dedicated to computer vision technologies and unmanned vehicles, is the first of its kind in the entire world. More than 30 teams from world leading universities such as MIT (USA), the University of Cambridge (Great Britain), ASU (USA), Hong Kong University of Science and Technology (P.R. China), University Paris-Saclay (France), the University of Science and Technology Beijing (P.R. China), and UPC (Spain) have announced their participation in the hackathon. The total number of hackathon participants is about 150 people, and the prize fund exceeds $30,000, which is a record for such an event. Computer vision in application of practical tasks for the driving of unmanned vehicles, which is currently one of the most relevant and popular directions of artificial intelligence, has become the competition's main theme. The participants' aim will be to create their own intellectual subsystem for driver assistance and ADAS (advanced driver assistance system) capable of automatically detecting various events on the road (small circumstances, which sometimes seriously affect traffic safety) such as: a car stopped in the middle of the street with its hazard lights on; a dog or small child about to cross the street; the sun shining on a turn and blinding a driver, etc. Participants will be given a large array of data - several hundred 10-second videos, which will show different road situations and problems. "Participants will have to solve real and significant practical issues of computer vision for unmanned vehicles. We hope that the intelligent subsystems developed by participants will be included in the ADAS product lines, and will be able to significantly improve road safety, as well as to provide drivers with the necessary level of comfort. We are sure that the hackathon winners will be able to increase their value as specialist-professionals of the highest class, for whom doors to the world's leading AI development companies are open," said Olga Uskova, president of the Cognitive Technologies group. The winner of the hackathon will be the team which provides the most accurate and comprehensive solution to the set of proposed road situations. Additionally, the organizers will prepare secondary prizes for qualitative decisions on specific developments. VisionHack will be held in 2 rounds: the preliminary selection stage, from July 13th to 31st, where participants will be asked to solve test tasks. The best teams will be invited to participate in the on-site competition. Both individuals and teams (3-5 people) can register. The panel of judges will include world-famous specialists in the field of IT and artificial intelligence, business representatives, venture funds, and development institutions. An extensive educational program and meetings with prominent representatives of the IT field (especially in the field of unmanned vehicles) will be organized for the hackathon. Top managers of famous Russian and international companies will act as mentors and lecturers at the event. The top managers of large Russian enterprises such as Alfa Group, Severstal, VEB, Rosatom, Gazprombank, and representatives of the Russian Government will be invited to the event as honorary guests. World-renowned companies and developers of artificial intelligence, unmanned technologies, and hardware are among the event`s business partners. Please contact the organizers if you have any additional questions at visionhack@misis.ru The National University of Science and Technology MISIS is one of Russia's most dynamically developing centers for research and education. Being among the leaders of technology education in Russia, NUST MISIS is also a large research center. In 2015 NUST MISIS entered The Times Higher Education World University Rankings and strengthened its position in the QS World University Rankings. In 2016, NUST MISIS was the only Russian university to enter the Times Higher Education: World's Best Small Universities Ranking, and also continued to climb in the QS regional rankings. The strategic goal of NUST MISIS is to become a global leader in the fields of materials science, metallurgy, and mining, as well as to strengthen its position in the fields of biomaterials and nano- and IT technologies by 2020. The University comprises 9 institutes and 4 branches - three in Russia and one abroad. More than 15,000 students are being trained at NUST MISIS. 27 laboratories and 3 world-class engineering centers, where leading international scientists work, operate at NUST MISIS. The University successfully implements joint projects with both well-known Russian and international high-tech companies.


News Article | August 17, 2017
Site: www.prnewswire.com

"An international team of scientists led by Alexander Kir`yanov, a visiting Professor at NUST MISIS's Semiconductor Electronics and Semiconductor Physics Department, in cooperation with the Center for Research in Optics (Leon, Mexico) and CSIR-Central Glass & Ceramic Research Institute (Kolkata, India) has developed a technology for the creation of high-precision stand-alone sensors based on fiber optics," said Alevtina Chernikova, Rector of NUST MISIS. The created fiber optics is doped with rare-earth and transition metals: erbium, holmium, bismuth, etc., in addition to nanoparticles of silver and silicon. The composition and ratio of ligands (chemical additives) in quartz-based fibers are unique, as they provide unique properties in obtained fibers. The study's results have been published in the journal LaserPhysicsLetters. The high sensitivity of the resulting fibers to temperature changes, tension, chemical composition, and an environment's background radiation, as well as their stability in inhospitable environments and their high resistance to electromagnetic disturbances allows the fibers to carry out high-precision monitoring of large-scale facilities (pipelines, drillings, power plants, bridges) on a number of parameters. The length of fiber optics also gives the chance to measure large size objects (up to hundreds of meters). In near-earth orbit, sensors based on these obtained fibers can measure the conditions of background radiation in spacecrafts. Sensors based on these fiber optics effectively register various types of radiation emissions in a wide range of doses, and can do so with high-precision in ultra-high (up to 1700°С) temperatures, harsh chemical compositions, and powerful electromagnetic fields. The length of fiber optics allows the technology to carry out remote measurements; for example, it can provide full-scale monitoring of deep oil wells, mines, and pipeline assemblies for nuclear plants. Due to its unique characteristics, devices based on this technology will be in high demand in a plethora of fields, including construction and geotechnical engineering, the aerospace and oil & gas industries, and high-current energy engineering, including nuclear engineering. "A fiber optic sensor is either a small-sized ("pointed") device (which, in turn, can be a part of a multi-component detecting network, or an interrogator), or a " spatially-distributed circuit" which is able to collect information about detected parameters at great distances - due to fiber's property as a fundamentally "long" environment. In the former case, the sensitive elements of sensors can be Bragg gratings (spectrally-selective filters), written in fiber. Their parameters, i.e. reflection and transmission spectrums, greatly depend on the state of the environment (pressure, temperature, deformation, etc.), and respectively serve as the basis of detection. The entire length of a used fiber is the sensitive element in "long sensor" format. It is used either in "passive" mode (in this case, for example, the changes in absorption and transmission spectrum of doped fiber optics are detected parameters), or "active" mode, when it is a component of a laser (in this case, for example, relaxation frequency, optical spectrum, or laser oscillation mode are detected parameters). "Our research, within this project`s framework, is aimed at the creation, comprehensive research, and application of fiber sensors of the second type with the use of specially developed doped fibers, obtained, in particular, by the method of nano-engineering. Such fibers can become a reliable solution while working in an aggressive environment, when the device based on them is in extreme conditions - for example, when thermo-monitoring oil wells or performing dosimetry at power plants," told Alexander Kir`yanov, the head of the project. SOURCE The National University of Science and Technology MISiS


Bajenova I.,Thermochemistry of Materials Scientific Research Center | Fartushna I.,Thermochemistry of Materials Scientific Research Center | Khvan A.,Thermochemistry of Materials Scientific Research Center | Cheverikin V.,Thermochemistry of Materials Scientific Research Center | And 2 more authors.
Journal of Alloys and Compounds | Year: 2017

Phase equilibria upon crystallization in the Al-Mn-C system were studied using DTA, X-ray diffraction, SEM and electron probe microanalysis. The liquidus and solidus projections and the melting diagram (liquidus + solidus) for this system were constructed covering the whole concentration range. The ternary compound Mn3AlC (κ) (antiperovskite structure CaTiO3-type, ≿Р5-Pm-3m) melts congruently at 1320 °C. The liquidus surface consists of the binary compounds, the ternary compound Mn3AlC (κ) and solid solutions primary crystallization fields. The carbide Mn5C2 in the ternary system participates in equilibrium with the liquid phase in contrary to the binary system where it is formed from the solid state equilibrium. The solidus surface of the Al-Mn-C system in the region up to 50 at.% Al is defined by the co-existence of the κ-carbide with almost all phases of the binary subsystems: (С), (γMn), (εAlMn), (Al4C3), (Mn7C3) and (Mn5C2). The solidus surface in the region >45 at.% Al is defined by the co-existence of the carbide Al4C3 with all phases from Al-rich region. The DTA curves of the alloys with compositions close to the homogeneity region of phase (εAlMn), exhibit (on heating) an exothermic effect at ∼570 °C. This exothermic effect corresponds to the formation of the ordered metastable τ-phase, which is formed by mechanism: ε → ε’ (B19) → τ. τ-phase (AuCu, tP2-P4/mmm, a = 2.760, c = 3.600 Å) and which was observed in the alloys after heating up to 700 °C and slow cooling (5 °C/min). © 2016 Elsevier B.V.


Mosyagin I.,Linköping University | Mosyagin I.,Materials Modeling and Development Laboratory | Lugovskoy A.V.,Materials Modeling and Development Laboratory | Krasilnikov O.M.,NUST MISIS | And 3 more authors.
Computer Physics Communications | Year: 2017

We present a description of a technique for ab initio calculations of the pressure dependence of second- and third-order elastic constants. The technique is based on an evaluation of the corresponding Lagrangian stress tensor derivative of the total energy assuming finite size of the deformations. Important details and parameters of the calculations are highlighted. Considering body-centered cubic Mo as a model system, we demonstrate that the technique is highly customizable and can be used to investigate non-linear elastic properties under high-pressure conditions. © 2017 Elsevier B.V.


Pozdniakov A.V.,NUST MISiS | Yarasu V.,NUST MISiS | Barkov R.Y.,NUST MISiS | Yakovtseva O.A.,NUST MISiS | And 2 more authors.
Materials Letters | Year: 2017

Microstructure and mechanical properties of a novel Al-Mg-Mn-Zr-Sc-Er alloy with low Sc concentration were investigated. Significant grain refinements and the formation of Al3Er and ternary (Al,Mg,Er) phases were found by scanning electron microscopy and an X-ray analysis with Er addition. A high hardening effect in 30HV was obtained after annealing at 370°C for 4-10h. The maximum level of mechanical properties was found after rolling with a greater part of cold deformation. The research showed that YS=480MPa, UTS=524MPa at El.=4.2% after rolling, and YS=370MPa, UTS=470MPa at El.=9.5% after subsequent annealing at 200°C for 1h. © 2017 Elsevier B.V.


Rodin A.,NUST MISiS | Khairullin A.,NUST MISiS
Defect and Diffusion Forum | Year: 2015

The influence of Co as an alloying element on grain boundary diffusion (GBD) in Cu attracts particular interest due to anomalous GBD of Co in Cu. Ni as a neutral to Co and Cu element was chosen for GBD study. The triple products of Ni GBD in Cu and Cu-Co alloys (with concentration up to 2.9 wt. %) were determined in temperature range 500-700°C by X-ray microprobe analysis. It was shown, that in spite of some scattering the triple product does not depend on Co concentration at all temperatures of experiments. From the obtained results it follows that Co does not change the GB structure. © (2015) Trans Tech Publications, Switzerland.


Pavlov Y.S.,Russian Academy of Sciences | Lagov P.B.,NUST MISIS
Proceedings of the European Conference on Radiation and its Effects on Components and Systems, RADECS | Year: 2015

Electron accelerator equipped with injection system and magnetic buncher to generate picoseconds pulsed beams (50 ps, 150 A, 10 MeV) prospective for radiation hardness investigation and pulsed detectors characterization is represented. © 2015 IEEE.


Ershov ..,Vnii Np | Grigoreva E.V.,Vnii Np | Habibullin I.F.,Vnii Np | Emelyanov V.E.,Vnii Np | Strekalina D.M.,NUST MISIS
Renewable and Sustainable Energy Reviews | Year: 2016

In world practice bioethanol is widely used as a component for standard motor gasolines, with concentration 5–15% by volume (E5, E10, E15 fuels) or as bioethanol fuels with ethanol content from 20% till 85% by volume (E20-E85 fuels). Currently in Russia the motor biofuel and its components are not used. At the same time, the development of biotechnologies and bioenergy is the priority task of the scientific and technical policy of the State. The complex program sets the goal to increase the consumption volume of motor biofuel up to 10% till 2020. It should be achieved primarily by bioethanol production, which will be used as a component of automotive gasolines or for production of bioethanol fuels. Bioethanol in Russia can be used in essentially different ways: 1) as a high-octane component in concentration not higher than by 5% by volume for the production of motor gasoline 2) as a high-octane component in concentration not higher than 10% by volume for benzanol (gasohol) production 3) for ethyl tertiary butyl ether (ETBE) production 4) as a component of bioethanol fuels in concentration up to 85% by volume. The final aspect is especially topical for production of high quality high-octane fuel from low-octane hydrocarbon fractions, as well as maximum utilization of bioethanol octane-increasing potential. Currently VNII NP JSC is conducting research work aimed to develop production technology of E30 and E85 bioethanol fuels. This technology will enable the essential expansion of the potential of bioethanol application and the efficient resolution of usage of low-octane fractions due to production of high-octane fuel with improved ecological characteristics with a minimum possible cost. This article presents the developed technical requirements for bioethanol fuels E30, E85. © 2016 Elsevier Ltd


PubMed | NUST MISiS, Russian Academy of Sciences, RITVERC GmbH and JSC Optocoupler 105187
Type: | Journal: Applied radiation and isotopes : including data, instrumentation and methods for use in agriculture, industry and medicine | Year: 2016

In the paper a manufacturing process of three-dimensional (3D) microchannel structure by silicon (Si) anodic etching was discussed. The possibility of microchannels formation allows to increase the active area more than 100 times. In this structure the p-n junction on the whole Si surface was formed. The obtained data allowed to evaluate the characteristics of the betavoltaic converter with a 3D structure by using isotope 63Ni with a specific activity of 10Ci/g.

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