Department Department of Computer Engineering Applied results of research and development Hardware and software suites for studying electromagnetic oscillation weakening standards. Data acquisition and processing modules for electrophysical devices of Tokamak type. Multi-channel automated complex for reading and studying electrocardiograms and electroencephalograms. Automated device for medical nanoelectrode verification. Efficient polynomial cyclic codes for error correction. Automated codec construction system for FPGA, microcontrollers, DSP. Algorithms and software suite for wavelet compression of gray-scale and full-tone images. Algorithms and quality assessment software for images restored after compression. Laboratory facilities - "Gas production company operations control room simulator" laboratory facility including a video system, server and client hardware and software;
- 110 computers and servers in classrooms and training and research laboratories "Geographic Information Systems" and "Discrete and Microprocessor equipment";
- LARM 02 - automated workplace for performing laboratory classes in electrical engineering, electronics, and circuit engineering;
- NIELVIS - laboratory training stations for performing laboratory classes in electronics and circuit engineering;
- SDK 1.1, SDK 2.1, SDK 6.1 – laboratory training stations for performing laboratory classes in electronics, circuit engineering, and microprocessors;
- ADZS – video and audio signal processing facility for carrying out researches and performing laboratory classes in circuit engineering and microprocessors;
- LEGO 8457 Mindstorm NXT.2 – robot for performing laboratory classes in circuit engineering and microprocessors;
- NIOS ΙΙ – debugging system for performing laboratory classes in circuit engineering and microprocessors.
Tasks performed Within the frameworks of areas of research, commercial R&D activities, state-financed R&D ordered by Ministry of Education of the Russian Federation, as well as R&D works supported in 2000-2012 by grants from Russian Foundation for Basic Research. Professor N.G. Markov's science school in geoinformatics was officially recognized as Russia's leading science school and in 2000-2012 had financial support through "Support of Russia's leading science schools" grant by President of Russian Federation, and in 2000-2002 - through the "Support of young candidates of sciences and their scientific advisors" President's grant. Contact information Valeriy L. Kim, DSc (kimval11@rambler.ru) A.N. Osokin, PhD in Engineering, Assoc. Prof. (osokin@vt.tpu.ru) A.N. Malchukov, PhD in Engineering, Assoc. Prof. (jgs@tpu.ru)
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