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S. V. Donskov A. V. Inyakin Yu. D. Karpekov V. D. Matveev V. F. Obraztsov V. A. Sen’ko M. M. Soldatov A. P. Filin N. A. Shalanda V. I. Yakimchuk A. I. Makarov A. A. Khudyakov 《Instruments and Experimental Techniques》2016,59(4):519-526
A data acquisition system of the OKA experiment on studying rare kaon decays on the U-70 accelerator is described. The basis of the blocked data acquisition system was the high-speed multichannel information system MISS with autonomous controllers that read out the front-end electronics in the sequential data reading mode and buffering data during the accelerator burst. Data stored in the buffer memory are read out and processed at the end of the accelerator burst. The DATE package builds subevents from event fragments and events from subevents via the event building network. The event building network with the star topology is made with 1GbE-interfaces and 24 × 1 Gb E-switch. The GlusterFS cluster file system underlies the distributed storage system. 相似文献
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Da Via C. Deile M. Hasi J. Kenney C. Kok A. Parker S. Watts S. Anelli G. Avati V. Bassetti V. Boccone V. Bozzo M. Eggert K. Ferro F. Inyakin A. Kaplon J. Bahilo J.L. Morelli A. Niewiadomski H. Noschis E. Oljemark F. Oriunno M. Osterberg K. Ruggiero G. Snoeys W. Tapprogge S. 《IEEE transactions on nuclear science》2009,56(2):505-518
3D detectors with electrodes penetrating through the silicon wafer and covering the edges were tested in the SPS beam line X5 at CERN in autumn 2003. Detector parameters including efficiency, signal-to-noise ratio, and edge sensitivity were measured using a silicon telescope as a reference system. The measured sensitive width and the known silicon width were equal within less than 10 mum. 相似文献
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E. V. Djukova A. S. Inyakin N. V. Peskov A. A. Sakharov 《Pattern Recognition and Image Analysis》2006,16(4):695-699
Problems of increasing the efficiency of combinatorial logical data analysis in recognition problems are examined. A technique
for correct conversion of initial information for reduction of its dimensionality is proposed. Results of testing this technique
for problems of real medical prognoses are given.
Djukova Elena V. Born 1945. Graduated from Moscow State University in 1967. Candidate’s degree in Physics and Mathematics in 1979. Doctoral
degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading researcher. Moscow
State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics and mathematical
method of pattern recognition. Author of 70 papers.
Peskov Nikolai V. Born 1978. Graduated from Moscow State University in 2000. Candidate’s degree in 2004. Dorodnicyn Computing Center, Russian
Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition.
Author of ten papers.
Inyakin Andrey S. Born 1978. Graduated from Moscow State University in 2000. Dorodnicyn Computing Center, Russian Academy of Sciences, junior
researcher. Scientific interests: discrete mathematics and mathematical methods of pattern recognition. Author of ten papers.
Sakharov Aleksei A. Born 1980. Graduated from Moscow State University in 2003. Moscow Pedagogical University, graduate student. Scientific interests:
discrete mathematics and mathematical method of pattern recognition. Author of three papers. 相似文献
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Motrenko Anastasia Simchuk Egor Khairullin Renat Inyakin Andrey Kashirin Daniil Strijov Vadim 《Multimedia Tools and Applications》2022,81(4):4877-4895
Multimedia Tools and Applications - The paper addresses the problem of human activity recognition based on the data from wearable sensors. Human activity recognition depends on a wide context of... 相似文献
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A polynomial delay algorithm for searching for irreducible coverings of a Boolean matrix is constructed. A similar result
is obtained for the problem of constructing maximal conjunctions of a monotone Boolean function specified by its conjunctive
normal form.
Elena V. Djukova born 1945. Graduated from Moscow State University in 1967. Candidate’s degree in Physics and Mathematics in 1979. Doctoral
degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading researcher. Moscow
State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics and mathematical
methods of pattern recognition. Author of 76 papers.
Andrey S. Inyakin born 1978. Graduated from Moscow State University in 2000. Candidate’s degree in Physics and Mathematics in 2000. Dorodnicyn
Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical
methods of pattern recognition. Author of sixteen papers. 相似文献
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E. A. Demyanov E. V. Djukova A. S. Inyakin N. V. Peskov 《Pattern Recognition and Image Analysis》2007,17(4):578-583
The problem of processing of Gallup poll results by cluster analysis methods is considered. The aim of these polls, performed
in different subjects of the Russian Federation, is to extract main characteristics of the regions.
Demyanov Egor A. Born 1982. Graduated from the Moscow State University in 2004. Post-graduate student of the same university. Scientific interests:
discrete mathematics and mathematical methods of pattern recognition. Author of two publications.
Djukova Elena V. Born 1945. Graduated from the Moscow State University in 1967. Received candidate’s degree in Physics and Mathematics in
1979, Doctoral degree in Physics and Mathematics in 1997. Dorodnicyn Computing Center, Russian Academy of Sciences, leading
researcher. Moscow State University, lecturer. Moscow Pedagogical University, lecturer. Scientific interests: discrete mathematics
and mathematical methods of pattern recognition. Author of 76 papers.
Peskov Nikolai V. Born 1978. Graduated from the Moscow State University in 2000. Received candidate’s degree in Physics and Mathematics in
2004. Dorodnicyn Computing Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics
and mathematical methods of pattern recognition. Author of 17 papers.
Inyakin Andrey S. Born 1978. Graduated from the Moscow State University in 2000. Received candidate’s degree in 2006. Dorodnicyn Computing
Center, Russian Academy of Sciences, junior researcher. Scientific interests: discrete mathematics and mathematical methods
of pattern recognition. Author of 16 papers. 相似文献
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Ya. D. Kogan E. P. Kostogorov N. É. Struve A. A. Inyakin 《Metal Science and Heat Treatment》1992,34(6):378-380
1. | Treatment of titanium alloys in a thermal-autoignition regime contributes to their hardening. |
2. | The basic phase components of the hardened layers are titanium monoboride TiB and a solid solution of boron and magnesium in -titanium with inclusions of intermetallide phases (Al2Mg3, TiAl3, etc.). |
3. | The propesed method of hardening contributes to a significant increase in the wear resistance of titanium alloys under dry friction. Residual compressive stresses are formed in the hardened layer. In this case, the corrosion resistance of the titanium in a 3% NaCl solution is lower than that of the unhardened metal. |
4. | The thermal-autoignition regime, which has a shorter duration, is recommended for use in lieu of traditional methods of titanium casehardening (nitriding, carburizing, etc.). |
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