

Methods of spectrum refarming and reallocation
V.E. Veerpalu, PhD, Research and technology center for analysis of electromagnetic compatibility (EMC Analysis RTC) Radio research & Development institute, veerpalu@niir.ru
Abstract
Keywords: management, refarming, reallocation, frequency spectrum, methods, arrangements, costs.
References 2. Report ECC Report 16. The role of replanning and secondary spectrum trading in the developing world of telecommunications, 2002. 3. Recommendation ITU-R SM. Spectrum redeployment as a method of national spectrum management. Doc. 1B/TEMP/7, 2001. 4. The federal law “On communication” from 07.07.2003 № 126-FZ. 5. Table of Frequency Allocations between radio services of the Russian Federation. Decree of the Russian Federation of July 15, 2006, No 439-23. Analysis of profilessubscriberInternet traffic
Erohin S.D., MTUCI
Abstract
Keywords: TCP, UPD, Internet, traffic profiles, application protocols.
References 2. Traffic and market data report // Ericsson 2011. 3. www.cnews.ru/news/line/index.shtml?2011/10/19/460950. RESEARCH OF ROUTING PROTOCOLS IN NONGEOSTATIONARY SATELLITE SYSTEMS
Ivanov Valeriy, Postgraduate student, Radiotechnical Systems Department, Moscow Technical University of Communications and Informatics, ivanovvi@ieee.org
Abstract
Keywords: NGEO satellite systems, routing, dynamic topology, elevation mask, handover.
References 3. TannenbaumA. Computer networks. Peter, 2003. Pp. 520-523. 4. Alagoz F. et al. Exploring The Routing Strategies In Next-Generation Satellite Networks — IEEE Wireless Communications, June 2007. 5. Sun J., Modiano E. Routing Strategies for Maximizing Throughput in LEO Satellite Networks — IEEE Journal On Selected Areas In Communications, Vol. 22, No. 2, February 2004. 6. Jiang W., Zong P. QoS Routing Algorithm Based on Traffic Classification in LEO Satellite Networks — IEEE Wireless Communications, June 2011. 7. Karapantazis S., Papapetrou E., Pavlidou F. Multiservice On-Demand Routing in LEO Satellite Networks — IEEE transactionas on wireless communications, vol.8, no.1, January 2009. 8. Zhang X., Ding L., Rao Y. QoS Routing by Genetic Algorithm for LEO Satellite Networks — 2009 Second International Symposium on Computational Intelligence and Design. 9. Zhou Y., Sun F., Zhang B. A Hierarchical and Distributed QoS Routing Protocol for Two-layered Satellite Networks — IMACS Multiconference on “Computational Engineering in Systems Applications”(CESA), October 4-6, 2006, Beijing, China. 10. Nishiyama H., Kudoh D., Kato N., Kadowaki N. Load Balancing and QoS Provisioning Based on Congestion Prediction for GEO/LEO Hybrid Satellite Networks — Proceedings of the IEEE | Vol.99, No.11, November 2011. 11. Long F., Sun F., Wu F. A QoS Routing Based on Heuristic Algorithm for Double-Layered Satellite Networks — 2008 IEEE Congress on Evolutionary Computation (CEC 2008). 12. Tsunoda H. et al. Supporting IP/LEO Satellite Networks by Handover-Independent IP Mobility Management — IEEE JSAC, Vol. 22, no. 2, Feb. 2004. The procedures andtime characteristics of the operational control traffic in the transport network special packet
Legkov K.E., North-Caucasus branch MTUCI, Ph.D., constl@mail.ru
Abstract
Keywords: traffic management, resource reservation, virtual private network, the router, engineering.
References 2. Raniwala A., Gopalan K., Chiueh T. Centralized channel assignment and routing algorithms for multi-channel wireless mesh networks. ACM Mobile Computing and Communications Review, 2004, vol. 8, pp. 50-65. 3. Raniwala, A. Tzicker Chiueh. Architecture and algorithms for an IEEE 802.11_based multi-channel wireless mesh network. Proc. ofINFOCOM’05, vol. 3, pp. 2223- 2234. 4. Legkov K.E., Donchenko A.A. Analysis of the existing allocation algorithms frequency resource of wireless networks for special purposes // Proceedings of the GFR MTUCI, 2009. Rostov-on-Don: GFR MTUCI 2009. Pp. 50-52. 5. Legkov K.E., Donchenko M.A. Requirements for indicators of the quality of information exchange in wireless broadband // Proceedings of the GFR MTUCI, 2009. Rostov-on-Don: GFR MTUCI 2009. Pp. 59-64. 6. Legkov K.E. Methods for assessing the quality of information exchange in wireless broadband networks // Proceedings of the GFR MTUCI 2009. Rostov-on-Don: GFR MTUCI 2009. Pp. 64-68. Method of predicting changes in traffic using the neural network model
Pokrovskay M.A., MTUCI, mari.pokrovskaya@gmail.com
Abstract
Keywords: сontact-сenter, self-similar traffic, traffic intensity, prediction, the neural network, the test results.
References 2. Livshits K.I.,Shiferdeker I.Yu. Diffusion approximation of the mathematical model of the non-profit foundation with the relay money management // Bulletin of the Tbilisi State University in 2006. No293. Pp. 38-44. 3. Crovella M. E., Bestavros A. Self-similarity in world wide web traffic evidence and possible causes // Proc. of the 1996 ACM SIGMETRICS: Intern. conf. on Measurement and modeling of computer systems, May, 1996 and IEEE/ACM Trans on Networking, 1997. V.5, No6. Pр. 835-846. 4. Veres A., Kenesi Zs., Molnar S., Vattay G. On the Propagation of Long-Range Dependence in the Internet // Proc. ACM SIGCOMM 2000. Stockholm, Sweden, Sep. 2000. 5. Kugiumtzis D., Boudourides М.Chaotic Analysis of Internet Ping Data: Just a Random Generator // SOEIS meeting at Bielefeld, March 27-28, 1998. 6. Foag J., Wild T. Traffic Prediction Algorithm for a Speculative Network Processor // 17th Intl. Symposium for High Performance Computing Systems and Applications HPCS 2003. Sherbrooke, May 2003. 7. Trajkovic L., Neidhardt A. Internet traffic prediction // Centre for Systems Science, Simon Fraser University, Vol. 12, Issue 1. Mar. 2000. ANALYSIS OF CHARACTERISTICS OF DIGITAL WIRELESS CARRIERS IN THE DECAMETER WAVES
Uryadnikov Y.F., MTUCI
Abstract
Keywords: radio access, access technology, digital carriers, decameter.
References 2. Uryadnikov Y.F., Adzhemov A.S. Ultra wideband communications. Theory and application. M., 2005, 368 p. 3. Ivanov D.V. Methods and mathematical model studies of the ionospheric decameter complex signals and their dispersion distortion correction. — Yoshkar-Ola, 2006. 268 p. Characteristics andprospects of development of digital TV. Broadcasting standards (Part 1)
Klimov D.A., Ph.D., Deputy. Head of Research Center MTUCI
Abstract
Keywords: DVB, TV signal, digital television broadcasting, IPTV.
References 2. www.polytron_tv.ru/design/iptv.html. 3. dvbpro.ru. 4. www.telemehanik.ru/prikladnoe_televidenie.html. 5. www.broadcasting.ru/wiki/index.php?title=DVB_S. Effects of Ad_Hoc Network Topology Parameters on Performance of Video Streaming
Taubin F.A., Chuikov A.V., MTUCI
Abstract
Keywords: Streaming Video, Wireless Networks, Network Topology, RTP/UDP packets, Network Simulator NS-3, structural symmetry, SSIM.
References 2. Ramanathan R., Radi R.A Brief Overview of Ad Hoc Networks: Challenges and Directions, IEEE Communication Magazine, May 2002, pp.20- 22. 3. FFmpeg Multimedia System, ffmpeg.org/ documentation.html (дата обращения25.03.2012). 4. Request for Comments (RFC) 3550, RTP: A Transport Protocol for Real-Time Applications, July 2003. 5. Handley M., Jacobson V.Request for Comments (RFC) 2327, SDP: Session Description Protocol, April 1998. 6. Z. Wang, A. C. Bovik, H. R. Sheikh, S. Member, E. P. Simoncelli.Image quality assessment: From error visibility to structural similarity, IEEE Transactions on Image Processing, April 2004, pp. 600–612. 7. Z. Wang.Survey of objective video quality measurements. Technical Report T1A1.5, Worchester Polytechnic Institute, 2006, pp. 96-110. 8. Network Simulator 3, www.nsnam.org/docs/release/ manual.pdf (дата обращения25.03.2012). 9. Request for Comments (RFC) 3626, Optimized Link State Routing Protocol (OLSR), INRIA, October 2003. 10. ChuikovA.V. Software system to study the characteristics of video transmission over wireless networks. Moscow: RAO OFERNiO, 0206846200592-01, 2012. 11. Anastasi G., Borgia E., Conti M. and Gregory E. Wi-Fi in ad hoc mode: a measurement study, Proceeding of IEEE Int. Conf. on Pervasive Computing and Communications, March 2004, pp. 145-154. 12. ChuikovA.V. Influence of the packet size on the video transmission quality of video sequences reconstructed in wireless networks / / T-Comm – Telecommunications and Transport, 2010. No3.Pp. 32-34. Prospects of Application of Intelligent Antenna Systems. Path of Development
Shchuchkin V.M., postgraduate student of Moscow Technical University of Communications and Informatics, vlad.sh86@yandex.ru
Abstract
Keywords: intelligent antenna systems, radiation pattern, local congestion, the quality of service.
References 2. Shorin О.А. Methods of optimal allocation of time_frequency resource in mobile radio systems. M.: MTUСI, 2005. 351 p. 3. Shorin O.A. Tchoutchkin V.M. The use of smart antenna in mobile communication systems to reduce congestion // Proceedings of the MAI, 2012, No 53. 4. Angeliki Alexiou, Monica Navarro Robert, W. Heath Smart Antennas for Next Generation Wireless Systems: google.ru. 5. Base Station Antennas for Mobile Communication: ebookbrowse.com/katalog_790_6000_mhz_base_station_antennas_for_mobile_communications_pdf_ d361432785. 6. Power wave, Product Catalog: www.raycom_w.ru/images/stories/catalogue/ Powerwave_Product_ Catalog_2010_DD20100224.pdf. 7. Chae Y. Lee, Hyon G. Kang and Taehoon Park A Dynamic Sectorization of Microcells for Balanced Traffics in CDMA: Genetic Algorithms Approach//Basic Research Program of the Korea Science & Engineering Foundation 1999. 8. Final Report on Semi-Smart Antenna Technology Project. stakeholders.ofcom.org.uk/binaries /research/technology-research/finalb.pdf. 9. Kathrein Remote Electrical Tilt System: www.kathrein.de/en/mcs/techn_infos/download/9981081 7.pdf. ABOUT DECOMPOSITION METHOD SPECIAL FUNCTIONS IN POWER SERIES
Skorodumova E.A., MTUCI
Abstract
Keywords: power series, special functions, generalized Fresnel integral, convergence of the algorithm.
References 2. Ufimtsev P. Ya. Fundamentals of the physical theory of diffraction. M. BINOM. Knowledge Laboratory, 2011. 350 p. 3. V. Kaloshin. Short_Wave Electromagnetic Asymptotics of Open Systems. Proceedings of the 12th International Conference on Mathematical Methods in Electromagnetic Theory, June 29 – July 02, 2008, Odessa, Ukraine, pp. 16-20. 4. K.B. Oldham, J.C. Myland, J. Spanier. An atlas of functions. 2nd ed. Springer, 2008. 748 p. 5. Kahaner, D., Mouler C., Nash S. Numerical methods and software. M., 2001. 575 p. The experiences concerning action of a high alternating voltage on an aluminium needle
Frisk V.V., MTUCI, frisk@mail.ru
Abstract
Keywords: High voltage, single-wire line, closed circuit, broken circuit, single-wire current, aluminium needle.
References 2. Frisk V.V. Аnalysis of frequency characteristics of the unipolar voltmeter //conference Works “Telecommunication and computing systems”. M.: Incvjzizdat, 2010. Pр. 188-189. 3. Kasyanov G.T. Tesla`s single wire current, its physical properties and methods of use. The international maga_ zine applied and fundamental researches, 2010. No5. Pр. 35-40. 4. Strebkov D.S., Nekrasov A.I. Resonant methods for electric power transmission and application. M.: VIFSH, 2008. 352 p. 5. Avramenko S.V. Way of a food of electrotechnical devices and the device for its realisation//the Patent 2108649 C1 RU. The bulletin of inventions 1998. No10. Pр. 319. 6. Gerasimov S.A. The single conductor transmission of electric energy: calculation and measurements // Modern nigh technologies, 2011. Pр. 28-31. Steganography technologies — new area of information security
Golubev E.A., Professor MTUCI
Abstract
Keywords: technology, steganography, cryptography, information security.
References 2. Young A, Yung M., Malicious cryptography exponsing cryptovirology. Wiley Publishing, Inc., 2004. 3. Post-Quantum Cryptography, Springer, 2009. 4. Archive Online IACR. 5. Ivanov M.A., Kovalev A.V., Matsuk N.A. MikhailovD.M., Gugunkov I.V. Stochastic methods and protection of information in computer systems and networks. M., 2009. 6. Simmons G.J., The prisoners problem and the subliminal channel, Proc. Workshop on Communications Security (Crypto’83), 1984, 51-67. 7. Anderson R. editor.//Proc. Jnt. Workshop on Information Hiding: Lecture Notes in Computer Science. Springer-Verlag, Cambridge, 1996. 8. Alishov N. Indirectsteganography. International Book Series “Information Science and Computing” KDS 2009, Vama, Bulgaria, 2009. Pp. 53-57. 9. Shenon C. Communication theory of secrecy system, Bell System Techn. J. 28, No4 (1949) 65-715 10. Golubev E.A., Emelyanov G.V.Steganography as one of the areas of information security. T-Comm “Information Society Technologies”. M., 2009. Review of methods for the analysis of information security risk information system
V.V. Pugin, pugin@psati.ru, O.Yu. Gubareva, OlgaGubareva@inbox.ru
Abstract
Keywords: FACILITATED RISK ANALYSIS PROCESS, RISKWATCH, CRAMM, OCTAVE.
References 2. Skrekhin Seregey Viktorovich. www.bytemag.ru/articles/detail.php?ID=6781. 3. security.meganet.md bre.ru/security/13985.html. 7. www.cramm.com. System of adaptation of the electric drive of vehicles For work with the account of a condition of the operator
Sinitsyn I.E., Ph.D, Docent RSREU department of AITP Varnavsky A.N., Ph.D, Docent RSREU department of AITP, var_navsky_alex@rambler.ru Korochkin E.S., post-graduat student RSREU, Ryazan, eliseysergeevich@mail.ru
Abstract
Keywords: the asynchronous electric motor, the electric drive, safety, adaptation system, the moment, a current, a magnetic stream, the direct current electric motor.
References 2.Bruskin D.E. Electrical machinery and micromachines. M: High School, 1981. 482 p. 3.General Electrical: study manual for schools, edited A.T.Blazhkina. L.: Energy, 1979. 472 p. 4.Savelyev I.V. Physics course. Volume 2. M., 1978.480 p. 5.Kopylov I.P. Electrical machinery. Moscow. High School, 2006. 607 p. Prediction popular radio stations
Abramov V.A., Associate Professor, MTUCI, vabramov44@mail.ru; Malov A.V., Postgraduate, MTUCI, almalov@mail.ru; Popov O.B., Professor MTUCI, olegp45@yandex.ru; Chernikov, K.A., Postgraduate, MTUCI, che_kirill @ yandex
Abstract
References 3. Popov O.B., Richter S.G. Estimation problem and maintain the quality of sound in composite paths and channels // 1st International Conference “Problems and prospects of the development of digital television and radio broadcasting in Russia. May 14-15, 2003. Moscow: JSC “Expo-Telecom.” Abstracts. Pp. 68-71. 4. Popov O.B., Richter S.G. Digital signal measurement paths in sound broadcasting. M.: Insvyazizdat, 2010. 292 p. 5. Abramov V.A., Popov O.B., Rysin Yu.S. Emotional information in the broadcast media. 20th International conference on “Modern TV and electronics.” Moscow: FSUE Bureau “Electron”, 2012. Pp. 36-42. 6. Abramov V.A., Popov O.B., Pavlov A.N. Infra-low frequency sound signals in broadcasting. International Forum of Information (MFI-2011). International Congress (CTN-2011) Communications technology and network. M.: MTUCI 2011. Pp. 200-203. 7. Abramov V.A., Popov O.B., Rysin Y.S. Background information in the broadcast media. 16th International conference on “Current TV.” Moscow: FSUE IBC “Electron”, 2008. Pp. 17-19. Rating system of evaluation of students
Denisova A.B., Deputy first vice-rector on educational work, Associate professor Moscow Technical University of Communications and Informatics, den_alla@yandex.ru
Abstract
Keywords. Extracurricular activities, rating system, monitoring, quality assurance, common statistical information system, the educational process.
References 2. Bolotov V.A. Construction of Russian system of education quality assessment // Problems of Education No1, 2005. Pр. 5-10. 3. Denisovа A.B. Social adaptation of professional technical university students in extracurricular activities and introduction to the corporate culture // Education and Society, No1 (72), 2012. Pр. 9-14. 4. Denisovа A.B. The formation and development of extracurricular activities in the Moscow Technical University of Communications and Informatics. Kazan: IPK “Exim_Press”, 2012. 132 р. 5. Krechetnikov K.G. Designing creative learning environment for information technology in the university: Yaroslavl, 2003. Р. 22. 6. Senge P. The Fiffh Disciplin C: The art and practice of the learning organization, Double-day, London, 1990. 425 p. |
TCAM — from Ipv4 to IPv6Baginyan A.S., electrical engineer 1 category, baginyan@tmpk.net Dolbilov A.G., Software Engineer Category 1, dolbilov@jinr.ru, Laboratory of Information Technologies, Joint Institute for Nuclear Research, Dubna
Abstract
Keywords: TCAM, Ipv4, Ipv6, mask, CAM, lookup, router.
Referenses 2. V. Srinivasan and G. Varghese, “Fast Address Lookups Using Controlled Prefix Expansion,” ACM Trans. Computer Systems, vol. 17, no. 1, Oct. 1999, pp. 1-40. 3. R. Panigrahy and S. Sharma, “Reducing TCAM Power Consumption and Increasing Throughput,” Proc. 10th Symp. High_Performance Interconnects (HOTI 02), IEEE CS Press, 2002, pр. 107-112. 4. H. Liu, “Routing Table Compaction in Ternary CAM,” IEEE Micro, Jan._Feb. 2002, vol. 22, No. 1, pp. 58-64. 5. D. Shah and P. Gupta, “Fast Updating Algorithms for TCAMs,” IEEE Micro, vol. 21, No. 1, Jan._Feb. 2001, pp. 36-47. 6. Yi-Ting Fang, Tzung-Chian Huang, Pi-Chung Wang “Ternary CAM Compaction For IP Address Lookup”, Department of Computer Science, National Chung Hsing University, Taichung, Taiwan, 2008. 7. Greg Ferro “TCAM — A Deeper Look and the Impact of IPv6”, 26/01/2011, etherealmind.com/tcam_detail_review. 8. “Content-addressable memory”, wikipedia, en.wikipedia.org/wiki/Content-addressable_memory#Ternary_CAMs 25/05/2012. 9. Karl Etzel “Answering IPv6 Lookup Challenges”, 10/04/2012, eetimes.com/design/programmable_logic/4009328/Answering_IPv6_Lookup_Challenges_Part_1. 10. “Internet-protocol 6 (IPv6)”, www.ing_ipv6.ru/ 23/03/2012. Georouting protocols of mobile networks
Prozorov D.E., prozorov.de@gmail.com Metelev A.P., metap@inbox.ru Chistyakov A.V., ach.vsu@gmail.com Romanov S. V., romanov@niisvt.kirov.ru
Abstract
Keywords: Glonass/GPS; IP network; mobile network; routing protocol.
Referenses 2. V.M. Vinokourov.Routing inWireless Mobile Ad hoc-networks / V.M. Vinokourov, etc. // Reports TUSUR. 2010, No 2 (22), part 1. Pp. 288-292. 3. Identifying the types of equipment and systems to be equipped with satellite navigation GLONASS or GLONASS/GPS // URL: http://minsvyaz.ru/ru/doc/?id_4=618. 4. Boukerche, A. Algorithms and protocols for wireless, mobile ad hoc networks / A. Boukerche // New Jersey: John Wiley & Sons, Inc., 2009. 495 p. 5. Mauve, M. A Survey on Position-based Routing in Mobile Ad hoc Networks / M. Mauve, J. Widmer, and H. Hartenstein // IEEE Network Magazine. 2001. Vol. 15, No6. Pр. 30-39. 6. Xu, Y. Geography_informed energy conservation for ad hoc routing / Y. Xu, J. S. Heidemann, D. Estrin //In Proceedings of ACM MobiCom, 2001. Pр. 70-84. 7. Karp, B. Greedy perimeter stateless routing for wireless networks / B. Karp, H. T. Kung // In Proceedings of the 6-th Annual International Conference on Mobile Computing and Networking (MobiCom ’00). ACM Press, New York, 2000. Pр. 243-254. 8. Ko, Y. Location-Aided Routing (LAR) in mobile ad hoc networks / Y. Ko, N. Vaidya // In Proceedings of the ACM MOBICOM. 1998. Pр. 66-75. 9. Ko, Y. Location-Aided Routing (LAR) in mobile ad hoc networks /Y. Ko, N. Vaidya, // Wireless Networks. 2000. Vol.6, No4. Pр. 307-321. 10. Basagni, S. A distance routing effect algorithm for mobility (DREAM) / Basagni, S. [et al.] // In Proceedings of the ACM MOBICOM. 1998. Pр. 76-84. 11. Li, J. Laker, Location aided knowledge extraction routing for mobile ad hoc networks / J. Li, and P. Mohapatra // In Proceedings of the IEEE WCNC, 2003. Pр. 1180-1184. 12. Boato, G. MORA: A movement-based routing algorithm for vehicle ad hoc networks / G. Boato and F. Granelli // In Proceedings of the International Conference on Distributed Multimedia Systems (DMS). 2004. Pр. 171-174. 13. Tonghong, L. A Position_Based Routing Protocol for Metropolitan Bus Networks / L. Tonghong, S.K. Hazra, W. Seah // Proc. of IEEE Vehicular Technology Conference 2005. Pр. 42-50. 14. S. Corson. Mobile Ad hoc Networking (MANET): Routing Protocol Performance Issues and Evaluation Considerations / S. Corson., J. Macker // URL: tools.ietf.org/html/rfc2501. Simulation modeling of inter_cell movement and tracking of local congestion in communication systems with mobile objects
Shcuchkin V.M., postgraduate student of Moscow Technical University of Communications and Informatics, vlad.sh86@yandex.ru
Abstract
References 2. Shorin O.A. Methods of optimum distribution of a time-and-frequency resource in systems of a mobile radio communication. M.: MTUCI., 2005. 351 p. 3. Demyanov A.I. An assessment of parameters of jumps of loading in cellular networks of mobile communication // Telecommunication, 2002. No.1. Pp. 33-36. 4. Jeiks U.K. Communication with mobile objects in a range of the microwave oven. M.: Svyaz, 1979. 520 p. 5. Alekhin Yu.N. Remote control by the provision of a beam in panel KATHREIN aerials // Mobile systems, 2003. No. 3. Pp. 62-66. 6. www.comba_telecom.com/Prd_Channel.aspx?ClassID=21 // 15.05.2012. 7. www.amphenol_jaybeam.com/remote_electrical_tilt_technology.php // 15.05.2012. 8. 3GPP TS 25.463 UTRAN Iuant interface: Remote Electrical Tilting (RET) antennas Application Part (RETAP) signaling. Evaluation and minimizationof losses noise detector for inaccuracy manipulation speed telegraph signal
Rusanov V.E., rvvred52@rambler.ru
Abstract
References 2. Levin B.R. Theoretical bases of statistical radio engineering. — M: Sov. Radio, 1969. 752 p. 3. Rusanov V.E. An assessment and minimization of losses of a noise stability in the conditions of discrepancy of an aprioristic task of parameters of signals // T-Comm — Telecommunications and transport, No. 2, 2012. Pp. 63-65. The analysis of color and multispectral television component signals’ formation characteristics
Bezrukov V.N., MTUCI, Moscow
Abstract
References 2. Bezrukov V.N. Limited range of video information signals in TV // T-Comm – Telecommunications and Transport, 2011. No 9. Pp.17-20. 3. Nowakowski S.V. The color on the TV screen of television kolometrii. M.: Radio I Svyaz, 1997. 213 p. 4. Uzilevsky V.A.Transmission, processing and reproduction of color images. M.: Radio I Svyaz, 1997.168. Application of concealment schemes given to images of the various formats
Efimushkina T.V., Technological university of Tampere, tatiana.efimushkina@tut.fi Egiazaryan K., Technological university of Tampere, karen.egiazarian@tut.fi
Abstract
Keywords: difference expansion, histogram shifting, field of Galua, JPEG.
References 2. T. Efimushkina and K. Egiazarian. Reversible q-ary watermarking with controllable prediction error and location map-free capability. Proc. SPIE 8303, Media Watermarking, Security, and Forensics, 2012. 3. J. Tian. Reversible Data Embedding Using a Difference Expansion. IEEE Trans. on Circuits and Systems for Video technology, 2003. 4. M. Fallahpour. Reversible image data hiding based on gradient adjusted prediction. IECIE Electronic Express, 2008. 5. G. Xuan, Q. Yao, Q. C. Yang, J. Gao, P. Chai, Y. Shi, and Z. Ni. Lossless data hiding using histogram shifting method based on integer wavelets. In International Workshop on Digital Watermarking, 2006. 6. Y. Hu, H._K. Lee, K. Chen and J. Li. DE-based reversible data hiding using two embedding directions. IEEE Trans. on Multimedia, 2008. 7. G. Xuan, Y._Q. Shi, and Z. Ni. Reversible data hiding for JPEG images based on histogram pairs. Proc. of ICIAR 2007, 2007. 8. N. Johnson, and S. Jajodia. Steganalysis of images created using current steganography software. In Proc. of information Hiding Workshop, 1998. 9. U. Waterloo image database [Online]. http://links.uwaterloo.ca/Repository.html. CIRCUITS BASIS OF ULTRA MINIATURE HIGH SELECTIVITY MICROWAVE FILTERS ON Y-SECTIONSPART 2. Y-SECTIONS WITH ADDITIONAL ROUTES
G.M. Aristarkhov, doctor technical science (DFhil), professor, Moscow Technical University of Communications and Informatics, g.aristarkhov2010@yandex.ru; A.V. Arsenin, military man, Moscow, el_dorado@yandex.ru; O.V. Arinin, graduate student, Moscow Technical University of Communications and Informatics, bishounen99@gmail.com
Abstract
Keywords: ultra miniature, high selectivity, microwave filter, Y-section, transmission zero, distribution-lumped, base circuit.
References 2. AristarkhovG.M., Arsenin A.V. Highly selective filters for microwave resonators ultrashort length with additional routes of energy / / Proceedings RNTORES them. Popov. M., 2008. Pp. 117-122. 3. AristarkhovG.M. Alekseev A.N. Communications operating parameters symmetric reactance two // Radiotekhnica I electronika, 1990. V.35. No 3. Pp. 660-664. Analyses of Architecture and Features Hospitals Multimedia Contact-Centers
Dokychaev V.A., MTUCI, Moscow, V_Dokuchaev@tlsoft.msk.ru Yuvchenko О.N., MTUCI, Moscow, olgayuvchenko@gmail.com
Abstract social protection the population on the basis of IKT; introduction of new methods of rendering of medical care to the population, and also remote service of patients; establishment of uniform approaches to transition to rendering of services in electronic form, namely, transition to maintaining history diseases in electronic form, standardization of social cards and other forms; stimulation of application by the organizations and citizens of information and telecommunication technologies.
Keywords: multimedia contact center, medical institution, information society, the analysis of decisions for contact centers, requirements to contact centers.
References 2. State program of the Russian Federation “Information society” (2011-2020)” approved as the order of the Government of the Russian Federation from October 20, 2010. No. of 1815. 3. Roslyakov A.V., Samsonov M.Yu., Shibayeva I.V. Call Centre. M: Ako-Trendz, 2002. 272 p. 4. The concept of creation of uniform state information system in the health care sphere. The annex to the order of the Ministry of Public Health and Social Development of Russia from April 28, 2011, No. 364. 5. Requirements to MIS (No. SBR1009140314_02_2.20 standard) from 25.10.2010. THE GENERALIZATION OF THE FREQUENCY RESONANCE CONCEPT ON THE BEXAVIOR MODEL
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Spacecraftof the Russian part of the COSPAS-SARSAT
Zvonar V.D., Ph.D., JSC “Information Satellite Systems” Academician M.F. Reshetnev” Ermolenko V.I., JSC “Information Satellite Systems” Academician M.F. Reshetnev” Chebotarev V.E., Ph.D., JSC “Information Satellite Systems” Academician M.F. Reshetnev”
Abstract
References 2. SkubkoR.A., Mordvinov B.G. Companion at the wheel. L.: Sudostroenie, 1989.208 p. 3. ShebshaevichV.S. Introduction to space navigation. Sov. Radio, 1976. 245 p. Analysis of the statusand prospects of the medium-Russian segment of the International Space COSPAS-SARSAT
Stupak G.G., Deputy Director –General Designer of JSC “Russian Space Systems”, Professor Nikushkin I.V., Chief Designerof COSPAS-SARSAT JSC “Russian Space Systems”, Ph.D. Surinov A.S., Headof the department JSC “RussianSpace Systems” Ph.D. Rogalski V.I., Chief Scientific Officerof JSC “Russian Space Systems”, Ph.D., Associate Professor Kosenko V.E., First DeputyGeneral Director – General Designer, Professor
Abstract
References 2. Implementation plan of MEOSAR COSPAS-SARSAT, operating with a 406 MHz EPIRB. C/S R.012. Issue 1 – Revision 5. October 2009. Intellectual tasks of telematic transport systems and intellectual transport system
Vitaly Komarov, The First Deputy Director General on research, Scientific and Research Institute of Motor Transport (NIIAT), Ph. D. (Tech.), komarov@niiat.ru Sergey Garagan, Chief Researcher, Scientific and Research Institute of Motor Transport (NIIAT), Dr. Sci. (Tech.), garagan@ niiat.ru
Abstract
Keywords: telematic transport system, intelligent transport system, motor transport.
Referenses 2. G.G. Malineckiy, V.V. Semenov. Traffic in a context of basic researches. Preprint. Institut prikladniy matematiti im.M.V.Keldysha No 64, Мoscow, 2007. 3. A.S. Aliev, A.I.Strel’nikov, V.I. Shvecov, U.Z. Shershevsky. Modeling of transport streams in the large city with application to the Moscow agglomeration. Avtomatika i telemehanika, No 11, 2005. 4. V.I. Shvecov. Algorithms of distribution of transport streams. Avtomatika i telemehanika, No 10, 2009. 5. W. Min, L. Wynter, Y. Amemiva. IBM Research Report. Road Traffic Prediction with Spatio-Temporal Correlations. IBM Research Division. Thomas J. Watson Research Center. Yorktown Heights. RC24275 (W0706_018) June 5, 2007. 6. Condition and prospects of the Russian market of satellite navigation. М.: GLNASS/GNSS-Forum, GPS CLUB, 2011. 7. The report on a subject “Scientific and methodical ensuring legal regulation of the relations in the field of intellectual transport systems”. М.: NIIAT, 2010. Some questions on calculation of tropospher delay of the signal in navigation systems CLONASS/GPS
Eminov R.A.
Abstract
Referenses 2. Ermardson T.R., Derks H.J.P. On the relation between the wet delay and the integrated precipitable water vapour in the European atmosphere // Meteorol. Appl. 2000, No. 7, pp. 61-68. 3. Bevis M., Businger S., Herring T.A., Rocken C., Anthes R.A., Ware R.H. GPS meteorology: remote sensing of atmospheric water vapor using the Global Positioning System // Journal Geophysical Research, 1992, Vol. 97, Pp. 15787-15801. 4. Devara P.C.S. Some features of columnar aerosol optical depth, ozone and presipitable water content observed over land during the INDOEX_IFF99 //Meteorological Zeitschrift, 2001, Vol. 10, No. 2, pp. 123-130. 5. Ware R.H., Rocken C. Propagation delays induced in GPS signals by dry air, water vapor, hydrometeors, and other particulates // Journal of Geophysical Research, 1999, Vol. 104, No. D8, pp. 9663_9670. 6. Liu P.F., Zhao C.S., Gobel T., Hallbauer E., Nowak A. Ran L., Xu W.Y., Deng Z.Z., Ma N., Mildenberger K., Henning S., Stratmann F. Wiedensohler A. //Atmos. Chem. Phys. Discuss., 2011, Vol. 11, Pp. 2991-3040. www.atmos_chem_phys_discuss.net/11/2991/2011 doi:10.5194/acpd_11_2991_2011. CIRCUITS BASIS OF ULTRA MINIATURE HIGH SELECTIVITY MICROWAVE FILTERS ON Y-SECTIONSPART 1. BASIC Y-SECTIONS
G.M. Aristarkhov, doctor technical science (DFhil), professor, Moscow Technical University of Communications and Informatics,g.aristarkhov2010@yandex.ru; A.V. Arsenin, military man, Moscow; O.V. Arinin, graduate student, Moscow Technical University of Communications and Informatics
Abstract
Keywords: ultra miniature, high selectivity, microwave filter, Y section, transmission zero, distribution-lumped, base circuit.
Referenses 2. Jia-Sheng Hong snd M.J. Lancaster. Microstrip filters for RF/Microwave applications. New York.: John Wiley & Sons, Inc., 2001. 471 p. 3. Inder Bahl. Lumped elements for RF and Microwave circuits. Boston.: Artec House, Inc., 2003. 488 p. 4. Aristarhov G.M., Arsenin A.V.., Baticky A.M. The microwave ovens tiny filters for communication systems // Intermatic-2004. Moskow, 2004. Pp. 74-78. 5. Aristarhov G.M., Arsenin A.V. The microwave ovens supertiny high-selective filters in basis of the raspredelenno-concentrated structures // Antenny, 2007. V.7 (122). Pp. 49-58. 6. Aristarhov G.M., Alekseev A.N. Communication of working parameters of symmetric jet two-port networks // Radiotehnika i elektronika, 1990. V.35. No3. Pp. 660-664. The influenceof the dispersion length and polarization mode dispersion on the determination of the permissible length of the amplifier section
Grigorian A.K., Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
Referenses 2. PortnovE.L., Crop A.Y., Zelyutkov E.A. Influence of polarization mode dispersion on the transmission of the signal. “Proceedings of the Moscow Technical University of Communications and Informatics. Moscow ID “Media Publisher», 2008. Vol.1. Pp.341-344. 3. PortnovE.L., Zelyutkov E.A. Temperature dependence of the birefringence in the fiber optical cable // Proceedings of the Moscow Technical University of Communications and Informatics. Moscow: Publishing House “Media Publisher», 2008. V.1. Pp.338-341. 4. G.Agrawal. Application of nonlinear fiber optics. St. Petersburg, Moscow, Krasnodar.: Lan’, 2011. 592 p. Filters on superficial acoustic waves with a combination of single-modeand two-mode sections
Orlov V.S.
Abstract
Referenses 2. S.N. Kondratiev, V.P. Plessky and M.A. Schwab, “Compact Low Loss IF Balanced Bridge Filters”, IEEE 1995 Ultrasonics Symposium Proc. Pp.55-58. 3. T. Morita, Y. Watanabe, M. Tanaka and Y. Nakazawa, “Wideband Low Loss Double Mode SAW Filters”, IEEE 1992 Ultrasonics Symposium Proc. Pp.95-104. 4. S. Beaudin, Damphousse and T. Cameron, “Shoulder Suppressing Technique for Dual Mode SAW Resonators”, IEEE 1993 Ultrasonics Symposium Proc. Pp.389-393. 5. A. Loseu, “Double-Mode SAW Filters with Improved Selectivity”, IEEE 2000 Ultrasonics Symposium Proc. Pp.95-98. 6. A.L. Feldstein, L.P. Yavich. Synthesis of 4 and 8-polyus at microwave frequencies. M.: Svyaz, 1971. 388 p. 7. V.S. Orlov, V.S. Bondarenko. Surface acoustic wave filter. M.: Radio I Svyaz, 1984. 272 p. 8. V.B. Chvetz, P.G. vanov, V.M. Makarov, V.S. Orlov. “Wideband low-loss SAW filters for telecommunication and mobile radio applications”. IEEE Ultrasonics Symp. Proc., 1996. Pр.61-64. ON METHODS COEFFICIENT OF PROCESSING OF RATING ESTIMATIONS
Presnuhin Vyacheslav Valerievich, the chief of Institute, candidate of technical science, professor The Rostov military institute of rocket armies it of the Mainmarshal of artillery Nedelin M.I.
Abstract
Keywords: a method, computer coefficient a technique, the logic conditions, educational process, coefficient processing, changeable weight factor, the changeable amendment.
Referenses 2. Dolgov A.I., Martynenko A.F., Presnuhin V.V.Koeffitsiyent technique with changeable weight factors. Artificial intelligence. V.4, 2008. Donetsk, pp. 648-657, p. 834. Use of spherical functions in mnogorakursny television and computer modeling
Budak V.P., Doctor of Engineering, MEI; Zheltov V.S., Candidate of Technical Sciences, MEI; Kalakutsky T.K., undergraduate of MEI; Selivanov V.A., Candidate of Technical Sciences, MTUCI; Habibrakhmanova I.A., graduate student MTUCI
Abstract
Referenses 2. Mousa M., Chaine R., Akkouche S. Frequency-based representation of 3D models using spherical harmonics // International Conference on Computer Vision and Graphics, 2006. 3. Jyh-Ming Lien, Nancy M. Amato. Approximate convex decomposition //Proceedings of the twentieth annual symposium on Computational geometry, SCG ’04, New York, USA, 2004, pp 457-458. 4. Dey T.K., Giesen J., Goswami S. Shape segmentation and matching with flow discretization. In F. Dehne, J._R. Sack, and M. Smid, editors, WADS ’03: Proceedings of the 8th International Workshop on Algorithms and Data Structures, number 2748 in LNCS, pp 25-36, Carleton Univ., Ottawa, Canada, July-August 2003. 5. Ertrk S., Dennis T.J. Efficient representation of 3D human head models // Proceedings of Tenth Machine Vision Conference, University of Nottingham (BMVC99), 1999, pp. 329-339. 6. Baxansky A, Kiryat N. Calculating geometric properties of three-dimensional objects from the spherical harmonic representation. Pattern recognition, Vol.40, Issue 2 (February) 2007, pp. 756-770. 7. Mousa M., Chaine R., Akkouche S., Galin E. Efficient spherical harmonics representation of 3D objects // Proceedings of 15th Pacific Graphic Conference, Maui, USA, 2007, pp. 248-257. The equipment for change of a condition of semiconductor data carriers
B.V. Khlopov, FGUP “CNIRTI im. academika A.I. Berga”, Russia, hlopovu@yandex.ru; M.V. Fesenko, FGUP “CNIRTI im. academika A.I. Berga”; A.Yu.Mityagin, Fryazinsky branch of Institute of Radio engineering and Electronics of V.A.Kotelnikov of the Russian Academy of Sciences, alexandr_mityagin@yandex.ru
Abstract
Keywords: Exterminator of information, indirect control, semiconductor data carriers, flash carriers, device of transformation of tension, device of correction of a charge; device of accumulation of energy; shaper of impulses of management.
Referenses 2. D. Frohman-Bentchkowsky. Memory behaviour in a floating gate avalanche injection MOS (FAMOS) structure// Appl. Phys. Lett.V.18. P.332,1971. 3. Balyakin I.A. Devices with charge transfer in radio engineering processing devices of information // М.: Radio i svyaz’, 1987. — 176 p. 4. Seken K., Тоmpset М.Devices with charge transfer // М.: Мir, 1978 p. 5. Gulyaev Yu. V.., Lobanov B.S., Мityagin A.Yu., Khlopov B.V., Fesenko M.V.“Nano_mikrosistemnaya tehnika”, 2009, No11, pp. 42-46. 6. Мityagin A.Yu., Khlopov B.V., Fesenko M.V., Krutov М.М.Patent No2323491 / 27.04.2008 (prioritet 16.05.2006). No12. 7. Мityagin A.Yu., Lobanov B.S., Khlopov B.V., Fesenko M.V.,Kuz’minyh A.S. Patent No 2428754,10.09.2011 (prioritet 02.03.2010). No 25. 8. Khlopov B.V., Fesenko M.V. Patent No 2346345, 10.02.2009 (prioritet 26.04.2007). No 4. 9. Fesenko M.V., Khlopov B.V. Patent No 60255, 10.01.2007 (prioritet 26.09.2007). No1. 10. Khlopov B.V., Lobanov B.S., Bondarev Yu.S., Fesenko M.V., D’yakov M.S. Patent No105510, 10.06.2011 (prioritet 27.12.2010). No16. 11. Мityagin A.Yu., Khlopov B.V.Equipment for information destruction from modern carriers. Development and creation // Palmarium Academic Publishing, 2012. 68 p. The Russian DWDM equipment with channel speed of 100 Gbit/c
Gurkin N.V., engineer LLС“T8”, Candidate of Technical Sciences Treshchikov V.N., director LLC “T8”, candidate of physical and mathematical sciences Novikov A.G., engineer LLC “T8”, Candidate of Technical Sciences Nany O.E., head of department LLC “T8”, professor of the Moscow State University, doctor of physical and mathematical sciences
Abstract
Referenses 2. Nany O.E., Treshchikov V.N. The Russian equipment of DWDM with channel speed of 40 G and 100 G // the Messenger of communication, 2011. No4. Pp. 52-58. 3. Gurkin N.V., Kapin Yu.A., Pavlov V.N., Plaksin S.O., Treshchikov V.N. Characteristics of one-flying system DWDM with channels of 40 Gbit / with DPSK in a grid of 50 GHz //Telecommunication, 2012. No1. 4. Nany O.E., Novikov A.G., Plock A.Yu., Treshchikov V.N., Ubaydullayev R.R. Characteristics of multiflying system DWDM with channels of 40 Gbit / with DPSK in a grid of 50 GHz // Telecommunication, 2012. No 5. 5. Nany O.E., Treshchikov V.N. The analysis of formats of modulation for DWDM systems with speed of 40 Gbit/с// the Messenger of communication, 2012. No 1. Pp. 35-38. 6. Nany O.E. Treshchikov V.N. The Russian equipment of 40 Gbit/с— reality! // Photon express, 2010. No5 (85). Pp. 28-30. Information security and information communications
Yaroslavna Artamonova, Candidate of sociological science, Assistant professor of “Political Economy and Political Science” department, Moscow Technical University of Communications and Informatics
Abstract
Keywords: informational space, means of informational communications, alternative social systems, informational exchange, society, computer, data protection law.
Referenses 2. Vasiliev A.I. System of national security of the Russian Federation. S.-Pb, 1999. 3. Kalamanov V.A. The national security of the Russian Federation and international conflicts. S.-Pb, 1999. 4. Kuznetsov V.N. Building a culture of safety in a transforming society. M., 2002. 5. Shabalina I.I. Formation of an information space in the region (for example, the Republic of Sakha (Yakutia). M., 2001. Contact-Centers Solutions
Dokuchayev V.A., department chair “Multimedia networks and communication services”, МТUCI, d.t.s., professor, V_Dokuchaev@tlsoft.msk.ru; Yuvchenko O.N., undergraduate МТUCI, olgayuvchenko@gmail.com
Abstract
References 2. Drew Kraus, Steve Blood, Geoff Johnson. Magic Quadrant for Contact Center Infrastructure, Worldwide. June 2011. INTEGRATION OF APPLICATIONS IN COMMUNICATION NETWORKS WITH THE SUBSYSTEM IMS
S. Varyukhin, OJSC “Intellect Telecom”, Project Manager Technical Strategy Department, Varyukhin@i_tc.ru V. Morgunov, OJSC “Intellect Telecom”, Senior Expert Technical Strategy Department, Morgunov@i_tc.ru A. Nazarov, OJSC “Intellect Telecom”, Head of Division Technical Strategy Department, Nazarov@i_tc.ru
Abstract
Keywords: IP Multimedia Subsystem (IMS), service broker, Service Capability Interaction Manager (SCIM), Serving Call Session control Function (CSCF), Application Server (AS).
Referenses 2. 3GPP TS 23.218: “IP Multimedia (IM) session handling”. 3. 3GPP TR 23.810: “Study on Architecture Impacts of Service Brokering”. 4. www.servicebrokerforum.org. 5. HUI_NA CHUAa , CHOR_MIN TANa , YUXIN Hob. A Study of Issues and Considerations of Service Interaction management in IMS Architecture. WSEAS TRANSACTIONSon COMPUTERS, ISSN: 1109-2750, Issue 9, Volume 7, September 2008, pp. 1405-1415. PROJECT METHOD OF CALCULATING THE OPTIMUM NUMBER OF ANSWERING MACHINES,
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Recommendations as part of the marketing of interactive televisionNatalia Yashenkova Abstract
References 2. Kotler F., Armstrong G., Saunders J., Wong V. Principles of Marketing: Trans. from English. 2nd Europ. ed. M., St. Petersburg., K.: Publishing House “Williams”, 2006. 944 p. 3. European Broadcasting Union: EBU System of Classification of RTV Programmes ESCORT 2.4, March 2004. 4. Greg Linden, Brent Smith, and Jeremy York: Amazon.com Recommendations. Item to Item Collaborative Filtering // INTERNET COMPUTING, February 2003. 5. Zhernakova Olga. Systems advice and search for video content // TeleMultiMedia, February 1, 2012 www.telemultimedia.ru/art.php’id=464. 6. Zykov Novel: How do the recommendations. Part 2, June 10, 2009 kpis.ru/2009/06/10/recommendations2.html. 7. Proceedings of the international forum Connected TV & Video 2012. connectedtv-forum.com/index/video_i_prezentacii/0. 8. Pay TV is superior free air. www.netris.ru/ru/press-centre / otrasli-news/459-motorola.html. Iidel of signals reflected from the earth’s surface sections in the process of its locations by radar sensor with low angular resolutionAfanaciev V.P., MTUCI Abstract
Keywords: radio locator, resolution in range, surface element, desired signal, echo signal.
References 2. Aleshin BS, K.K. Veremeenko, Chernomorskij A.I. Orientation and Navigation of moving objects. Fizmatlit, 2006. 424 p. 3.Beloglazov I.N., Dzhanbzhgava G.I. Chigin G.P. Basic Navigation in geophysical fields. Moscow: Nauka. Main Edition of Physics and Mathematics, 1985. 328 p. 4. Reed C.G., Hogan Y.Y. Range correlation guidance for Cruise Missiles // IEEE Trans. On Aerospace fnd Electronic Systems, 1979, Pp.547-554. 5. Radar methods for studying the Earth // Ed. A. Miller. Moscow: Sov. Radio, 1980. 262 p., 1980. 6. Kostousov V.B., Kostousov A.V., Onuchin I.G. Modeling of moving objects by pointing radar images // Gyro and navigation, 2004, 2 (45). Pp.37-47. Some ideasabout the information processes in biological structuresAdzhemov A.S., Rector Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
References 2. AdzhemovA.S.World of information reality. М.: IRIAS, 2006.
Digital filtering in medicaldevices with limited dimensions of the filter responseLebedev V.V. Ph.D.,MAI, wwle@mail.ru
Abstract
Keywords: digital filtering, spectrum, frequency response, response, convolution.
References 2.P.Rabiner. B. Gould. The theory and application of digital signal processing. Binom Press, 1978. 848 p. 3.RichardLeysen. Digital signal processing. Benom Press, 2006.656 p. 4.Yu.Ramanyuk. Fundamentals of digital signal processing. Moscow, MIPT, 2005. 332 p. 5.BronsteinI.N., Semendyaev K.A. Handbook of Mathematics. (P.427 section 4.4.2.2). Moscow: Nauka. 544 p. 6.Electrocardiographs. IEC 60601-2-51. 2008. 65 p. 7.Electrocardiograph EK1TTS02. Programmer Alex Arakcheev VNIIMP 1995. 8.Lebedev V.V.,Lebedev S.V. Observation methods biopotentials. Moscow Aviation Institute, 2005. 71 p. 9.Lebedev V.V.,Lebedev S.V. Biopotential monitoring devices. Moscow Aviation Institute, 2005. 74 p. 10.Lebedev V.V.Construction of ECGs. Moscow, 2004. 80 p. 11.Lebedev V.V. The discrete representation of signals that are limited in time. M.:Radiotehnika, 1961. V.16. No1.Pp.75-80. Wireless networks of new generation WiMax and LTE: the productivity analysis at application on transportLegkov K.E., Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
Keywords: Wireless systems, the standard, a range of frequencies, the terminal, the channel.
References 2. DonchenkoA.A., Light K.E. Wireless Metropolitan Area Networks: Anatomy standard IEEE 802.16 // Proceedings of the GFR MTUCI -2009. Rostov-on-Don: GFR MTUCI 2009. Pp. 46-49. 3. LegkovK.E., Donchenko A.A., Sadovov V.V. Modern wireless broadband access 802.16e and LTE: prospects for implementation of transport / / T-Comm – Telecommunications and Transport, 2010. No 2. Pp.30-33. 4. TikhvinskyV.O., Terentyev S.V., Yurchuk A.B. Mobile network LTE: Technology and Architecture. Moscow: Eko-Trendz, 2010.284 p. 5. VarukinaL.A. Interference coordination in networks LTE // Radio frequency spectrum, 2010. No 2. Pp. 30-33. 6. VarukinaL.A. MIMO technology in the systems of LTE // Electrosvyaz, 2009. No 11. Pp. 52-55. METHOD OF INCREASING CHANNEL CAPACITY OF NONSTATIONARY NERROWBAND RADIOCHANNEL IN AUTOMOTIVE ADAPTIVE HF BAND COMMUNICATION SYSTEMPatshin, A.V., Engineerto support and maintenance of equipment, Agilent Technologies Ltd., alexander_patshin@agilent.com; Kubanov V.P., Prof.PGUTI, kubanov@psati.ru; Spodobaev Y.M., Prof.PGUTI, spod@psati.ru
Abstract
Keywords: Channel capacity, adaptive system, adaptation effectiveness, efficiency criterion, signal to noise ratio.
References 2. GOST R 51820_2001 signal conversion devices for radio frequency tone. Types, specifications and data interface. P.15. 3. Bernard Sklar. Digital communication. The theoretical basis and practical application. M.: Publishing house “Williams”, 2004. 1104 p. 4. Kennedy R. Communication channels with fading and scattering. Moscow: Sov. Radio, 1973. 304 p. 5. UPS-4, 8KB-M: A brief description / Penza Federal State Unitary Enterprise Scientific Research Institute of Electrical Engineering. www.pniei.penza.ru/production/ups_4_8.htm. The equipment for change of a magnetic state of a thin-film layer of the magnetic data carrierKhlopov B.V., TSNIRTI Academician AI Berg, Ph.D., corresponding member of the Academy of Natural Sciences, hlopovu@yandex.ru
Abstraсt Methods for the analysis of deleting of the information from magnetic carriers by visualization of separate fragments of magnetic disks are considered. The most perspective method providing change of a magnetic condition of a thin-film layer of a magnetic data carrier with simultaneous visualization is defined. It is shown that magnetooptical methods of visualization of magnetic fields allow to reach the high permission. They don’t destroy magnetic structure of data carriers. Allow to observe a magnetic relief of a surface of a disk. The conducted researches have allowed to formulate requirements to sizes of magnetic fields necessary for effective magnetic reversal of thin-film layers of data carriers and deleting of the information written down on them. On the basis of these requirements the equipment is developed for change of a magnetic condition of a thin-film layer of a magnetic data carrier. The equipment registers a magnetic relief of record, and also change of a magnetic condition of a thin-film layer of a magnetic data carrier before deleting of the information and after deleting, with an external pulse magnetic field and provides visual supervision of fragments of a magnetic relief on any site of a magnetic data carrier, automatically magnetic relief of record on a thin-film magnetic plate of a magnetic data carrier transforms to the electropotential relief corresponding to spatial distribution of intensity of a magnetic field on a surface of a magnetic data carrier. The equipment small-sized also takes place directly in the system block of the personal computer. The qualitative visual analysis of a condition of magnetic disks after deleting of the information by devices of other manufacturers allows to move.
Keywords: Visual control, the magnetic field, scanning probe microscopy, a data carrier, a magnetic disk, a magnetic relief, information deleting, intensity of a magnetic field.
References 2. Gerus S.V., Mityagin A.Y., Sokolov A.A., Temiryazev A.G., Krootov M.M., Khlopov B.V. Experimental study of the quality and completeness of data destruction from hard magnetic disks // International Scientific Conference “Information Technologies and simulation of devices and technological processes to ensure the quality and reliability,” V.1, Pp. 38-43, Sousse, Tunisia, 2006. 3. Khlopov B.V., Lobanov, B.S., Bondarev Yu.S., Kuzminykh A.S., Dyakov M.S. Visual control erase information from magnetic media for placement in the on-board equipment / / Proceedings of the XVII International Conference “Radar, navigation, communication” (RLNC 2011), (Voronezh, 2011), V. 1, P.630. 4. Lobanov B.S., Kuzminykh A.S., Khlopov B.V. Visual quality control method erasing // XVI International Scientific and Technical Conference “High Technologies in Industry” XXIII International Symposium “Thin Films in Electronics”, 2010. Pp.265-267. 5. Patent of Russian Federation № 2368020 from 20.09.2009, the priority 30.01.2008 was. Bulletin. No 26. 6. RU, copyright certificate number 842652 from 30.10.1987. 7. RU, copyright certificate number 859904 from 30.08.1981. 8. Yeghiazaryan G.A. Stafeev V.I. Magnitodiody, magnetotransistor and their application. M.: Radio I Svyaz, 1987. 9. Patent of Russian Federation No 2140117, publ. 10/20/1999 10.Patent the invention No 2428749 from 10.09.2011g. Priority 29.03.2010 Bull. No 25. 11. Gulyaev Yu.V., Khlopov B.V., Lobanov B.S., Mityagin Al.Yu., Sokolowski A. A., Timiryazeva M.P., Fesenko M.V. The influence of external magnetic fields on the magnetic structure of the information existing hard drive // Nano-Microsystem Technology, No 11. M., 2010. Pp.10-14. ON THE ADVANTEGES OF INFORMATION SYSTEMS BUILT ON VIRTUAL INSTRUMENTS WHEN MEASURING THE PARAMETERS OF MOBILE RADIO COMMUNICATIONKubankov A.N., Lorey N.A., Moscow Technical University of Communications and Informatics (MTUCI)
Abstracts The need for measuring the parameters of mobile radio communication (MPMRC) occurs firstly, in the final stage of production when it is necessary to check the compliance of output with the approved product specifications, secondly, in the process of radio station operation when the assurance of full operational capability is needed before the implementation, and thirdly, during the routine maintenance or preventive repair. The efficiency of mobile radio communications characterizes their ability to transmit information with the setup parameters. The work reviews approaches to MPMRC. It is shown that means of MPMRC are built on the basis of the conventional instrumental engineering solutions. The advantages and disadvantages of each approach are identified. Their common feature is that they are obsolete, since they do not provide a proper degree of automation of performed operations related to the parameter verification and control; do not allow to carry out the entire class of measuring tasks required. However, the approach to MPMRC is possible if based on modern measuring and computer technologies, in particular, using the technology of virtual instruments.
Keywords: parameters of mobile radio communication, virtual instruments, information and measuring system, measurement, functionability.
References 2. A.N. Novikov, V.A. Kozmin. Mobile measuring system of quality control train radio CPI RADIO // Special Technology, 2006. No 6. 3. Kubankov A.N., Lorey N.A., Provotorsky I.M., Rupasova M.N. The collection, processing and presentation of information about the parameters of communication cables with the help of virtual instruments // Special Technology, 2011. No 3. Pp.44-47. 4. GOST 12252_86. Radio stations with the angular modulation of the land mobile service. Types, basic parameters, technical requirements and methods of measurement. 5. Internet resource, the official website of Aeroflex, URL: aeroflex.su
Reconstruction of tomographic images by means of thresholding coefficients of the expansion of projection data BY orthogonal basis
A. Kudryavtsev, Moscow State University, nubigena@hotmail.com O. V. Shestakov, MoscowStateUniversity, Institute of Informatics Problems, oshestakov@cs.msu.su
Abstract
References 2. Troitskij I.N. Statistical theory of tomography. — M.: Radio and Communication, 1989. 3. Kak A.C., Slaney M. Principles of Computerized Tomographic Imaging. — NY: IEEE Press, 1988. 4. Markin A.V. Shestakov O.V. Asymptotics of the risk assessment process at the threshold of wavelet coefficients for the veyglet tomography // Informatics and Applications, 2010. V.4. No2. Pp. 36_45. 5. Donoho D. Nonlinear solution of linear inverse problems by wavelet_vaguelette decomposition // Applied and Computational Harmonic Analysis, 1995. V. 2. Pp.101-126. 6. Kolaczyk E.D. A wavelet shrinkage approach to tomographic image reconstruction // J. Am. Statist. Assoc., 1996. V.91. Pp.1079-1090. 7. Lee N. Wavelet_vaguelette decompositions and homogenous equations: PhD dissertation. Purdue University, 1997. 8. Kudryavtsev AA, Shestakov O. Asymptotics of the risk assessment veyglet wavelet decomposition of the observed signal // T-Comm — Telecommunications and Transport, 2011. No2. Pp. 54-57. 9. Kudryavtsev AA, Shestakov O. The asymptotic distribution of the risk assessment threshold processing veyglet coefficients signal with an unknown level of noise // T-Comm — Telecommunications and Transport, 2011. No5. Pp.24-30. 10. Mallat S. A Wavelet Tour of Signal Processing. — NY: Academic Press, 1999. 11. Abramovich F., Silverman B.W. Wavelet Decomposition Approaches to Statistical Inverse Problems // Biometrika, 1998. V.85. No1. Pp.115-129. 12. Donoho D., Johnstone I.M. Ideal Spatial Adaptation via Wavelet Shrinkage // Biometrika., 1994. V.81. No 3. Pp. 425-455. 13. Natterer F. The Mathematics of Computerized Tomography. — NY: John Wiley & Sons. 1986. 14. Smith K., Solmon D., Wagner S. Practical and mathematical aspects of the problem of reconstructing objects from radiographs // Amer. Math. Soc., 1977. V.83. No6. Pp.1227-1270. CONSTRUCTION AND ANALYSIS OF MODELS ON THE LINES OF TRAFFIC CONCENTRATIONDo Xuan Thu, Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
Keywords: Multiservice models, real time traffic, batch arrival data traffic.
References 2. Stepanov S.N.Fundamentals of teletraffic multiservice networks. M.: Eko-Trendz, 2010. |
Assessment of changes in the integrated availability of communications for non-geostationary satellite subscribers of Globalstar system, when orbital group is changing.M. Ivankovic, D. Shevchuk
Abstract
References 2. Kornfeld I.P., Sinai Y.G., Fomin S.V. Ergodic theory. M.: Nauka, 1980. 3. Mashbits L.M. Computer mapping and satellite areas. M.: Radio I Svyaz, 2000. 4. Description of the Globalstar system, version E. In 2000. Evolution of worldwide tracking and data collection satellite system ArgosA.V. Kozlov, MTUCI, kozlov37@gmail.com; A. V. Pestryakov, Moscow Technical University of Communications and Informatics (MTUCI), a.v.pestryakov@mail.ru
Abstract
Keywords: Argos, Argos-2, Argos-3, low-orbit satellite group, tracking and data collection system.
References 2. Argos/GPS Transmitter Functional Specifications for Fishing Vessel Monitoring. FVT 100 Model. CLS.DO/NT/99.144, Version 2, Rev.0, November 8, 2004, Toulouse. 3. Argos User’s manual // Argos – Worldwide tracking and environmental monitoring by satellite.2008. URL: http://www.argos-system.org/documents/userarea/argos_manual_ en.pdf (last reference: 10.01.2012). 4. Argos-3 The New Generation // Argos – Worldwide tracking and environmental monitoring by satellite.2008. URL: http://www.argos-system.org/documents/publications/brochures/argos3_metop_en.pdf (last reference: 10.01.2012). 5. Argos DCS (Data Collection System) // Earth Observation portal. 2011. URL: http://events.eoportal.org/presentations/224/13266.html (last reference: 10.01.2012). The quality of the network of SPS as a pledge of safe and accurate navigationMaksimenko V.N., Filippov A.A., Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
References 2. ITU-T. TELECOMMUNICATION STANDARDIZATION SECTOR. (06/2004). “Telecommunications management network. Enhanced Telecom Operations Map® (eTOM) The business process framework”, M3050.1 @ ITU 2004. 3. Nagaev E. eTOM: a structural model of business processes for service providers. M.: Mobile Systems, No 5, 2005. 4. Varzhapetyan A.G. Qualimetry: Textbook / SPbSUAP. St. Petersburg, 2005. 176 p.: ISBN 5-8080-0138-9. 5. Recommendations ITU-T P.800.1: “Mean Opinion Score (MOS) terminology”. 6. Maksimenko V.N., Filippov A.A. The data center in the structure of the quality management system mobile operator, T-Comm – Telecommunications and Transportation, №6, 2008. Pp.47-51 USING MODERN MEASURING AND INFORMATION SYSTEMS FOR THE MEASUREMENT AND ESTIMATION OF MOBILE DIGITAL RADIO COMMUNICATION RANGEKubankov A.N., Rupasova M.N., Moscow Technical University of Communications and Informatics (MTUCI)
Abstracts
Keywords: range of radio communication, measurement, measuring and information system, virtual instruments, statistics volume.
Referencеs 2. Prikhodko V.I. Range and quality of the radio // Training and Information Portal “Technology and communication protocols”, 2008-2009, online resource: www.connect-portal.info/radio_daln.html. 3. Dolukhanov M.P. Far VHF propagation. M.: Svyaz’izdat, 1992. 177p. 4. Hyummel K., Shearman S. Virtual instruments and design of DSP-systems // Components and Technology, 2008. No 3. Pp.38-42. 5. Kubankov A.N., Lorey N.A., Provotorskiy I.M., Rupasova M.N. The collection, processing and presentation of information about the parameters of communication cables with the help of virtual instruments // Special Equipment, No 3, 2011. Pp.44-47. 6. The official website of “National Instruments” [online resource]: www.ni.com. 7. Elkin M. Comparing the range of the radio channel systems in different ranges // Security Systems, No 3, 2010. 8. Strelkov A. Methods for measuring the distance to the SAM radars. Internet resource: www.bestreferat.ru/ referat-35822.html. 9. Vorobiev S.V. [Online resource]: Basic radiopathes and evaluation ranges Radio. www.sagatelecom.ru/encyclopedia/protocol/detail.php?SECTION_ID=28&ID=94. Research of stability of devices of electronic technics to magnetic fields in an open spaceKhlopov B.V., FGUP “CNIRTI im. academika A.I. Berga”, the Russian Federation, 208_otd@mail.ru
Abstract
Referencеs 2. Verkhoturov V.I.Physical processes in a complementary part-board electronics in low-level ionizing radiation exposure of outer space. Moscow Engineering Physics No2, 2004. 3. Amiantov A.S., Zaitsev A.N., Odintsov V.I., Petrov V.G. Variation of the magnetic field of the Earth. Digital data base of magnetic observatories Russia for 1984-2000 years. on CD-ROM. IZMIRAN, Moscow, 2001. 4. Afraimovich EL, EI Astafieva, Bernhardt O., Demyanov VV, et a.l Midlatitude flicker amplitude signals and GPS function GPS failures on border auroral oval // Math. universities. Radiophysics, 2004. V.48, No 6. Pp.509-526. 5. Hoffmann-Wellenhof B., H. Lichtenegger, J. Collins. Global Positioning System: Theory and Practice. New York: Springer-Verlag Wien, 1992. 327 p. 6. Afraimovich E.L., Astafieva E.I., Bernhardt O.I., Demyanov V.V., et al. Midlatitude flicker amplitude signals and GPS function GPS failures on border auroral oval // Math. universities. Radiophysics, 2004. V.48, No 6. Pp. 509-526. 7. Afraimovich E.L., Demyanov V.V., Kondakova. Degradation of performance of the navigation GPS system in geomagnetically disturbed conditions // GPS Solutions, 2003. V.7, No2. P.109-1196. 8. Doherty, P.H., S.H. Delay, C.E. Valladares and J.A. Klobuchar. Ionospheric Scintillation Effects in the Equatorial and Auroral Regions / / Proceedings of International Beacon Satellite Symposium, June 4-6, 2001, Boston College, Institute for Scientific Research, Chestnut Hill, MA, USA. 2001. Pp. 328-333. 9. Skone, S., and M. de Jong. The impact of geomagnetic substorms on GPS receiver performance / / Earth, Planets and Space. V. 52. P. 1067-1071. 2000. Skone, S. and M. de Jong. Limitations in GPS receiver tracking performance under ionospheric scintillation / / Physics and Chemistry of the Earth. Part A 26/6-8. 2001. Pp. 613-621. 10. Ledvina B.M., Makela J.J., Kintner P.M. First observations of intense GPS L1 amplitude scintillations at midlatitude // Geophys. Res. Lett. 2002. V. 29, No4. 10.1029/2002GL014770. 11. Global satellite navigation system GLONASS. Edited by V.N. Kharisova, A.I. Perov, V.A. Boldin. Moscow: Publishing House of IPRZHR, 1998. 400 p. 12. Landau L.D., Lifshitz E.M. Electrodynamics of continuous media. Moscow: Nauka. 1982. P.620. 13. Khlopov B.V. Fesenko, M.V., Kuzminykh A.S. Space and information protection in local communication networks // Proceedings of the International Conference, St. Petersburg, October, 2011. Pp. 29-31. 14. Khlopov B.V. Magnetic systems for data destruction equipment on magnetic media // International Conference “Modern information and electronic technologies”, Odessa, 2010. – P.99. 16. Khlopov B.V. Mityagin Al.Yu. Fesenko, M.V. Krytov M.M. Features erase records inhomogeneous semiconductor carriers // Proceedings of the International Conference “Magnets and magnetic materials”, M., 2007, information-analytical bulletin, separate issue 1. Pp. 300-308. 17. Khlopov B.V., Fesenko M.V. Eraser recorded information / Patent № 2346345 from 10.02.09, the (priority from 26.04.07 g). Bull. Number4. METHOD OF INCREASING CHANNEL CAPACITY OF NONSTATIONARY NERROWBAND RADIOCHANNEL IN AUTOMOTIVE ADAPTIVE HF BAND COMMUNICATION SYSTEMPatshin A.V., Agilent Technologies inc. (USA) Application engineer, alexander_patshin@agilent.com Kubanov V.P., Povolzhsky state university of telecommunication and informatics First pro-rector, kubanov@psati.ru Spodobaev Y.M., Povolzhsky state university of telecommunication and informatics, Department of electrodynamics and antennas chairman, spod@psati.ru
Keywords: channel capacity, adaptive system, adaptation effectiveness, efficiency criterion, signal to noise ratio.
Abstract
References 2. GOST R 51820-2001 signal conversion devices for radio frequency tone. Types, specifications and data interface. 15p. 3. Bernard Sklar. Digital communication. The theoretical basis and practical application. Publ. 2nd, rev.: Translation from English. M.: Publishing house “Williams”, 2004. 1104 p. 4. Kennedy R. Communication channels with fading and scattering. Moscow: Sov. Radio, 1973. P.304. 5. UPS-4, 8KB-M: A brief description / Penza Federal State Unitary Enterprise Scientific Research Institute of Electrical Engineering. Methods to improve the efficiency of frequency resources in a wireless broadband communication systemsZaitseva Yu.M.
Abstract
References 2. The Advantages of TDD over FDD in Wireless Data Applications, Raze technologies, 2001 www.razetechnologies.com/text_only/TDDvsFDD.htm. 3. Philip G. Lawrey, Thesis “Adaptive Techniques for Multiuser OFDM”, 2001. 4. V. Chandrasekhar, J.G. Andrews, A.Gatherer, “Femtocell networks: a servey”, unpublished. [online]. Analysis of statistical characteristics of user arrival process to the testing serviceAlbov N.Y., Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
Keywords: interarrival times, think-times, distribution fitting, KS-method.
References 2. Barseghyan A.A., Kupriyanov M.S., Stepanenko V.V. Holod I.I. Methods and models for data analysis: OLAP and Data Mining. St. Petersburg.: BHV-Petersburg, 2004. 336 p. 3. Loesing K. Sandmann W. Wilms C. Wirtz G. Performance Measurements and Statistics of Tor Hidden Services // International Symposium on Applications and the Internet, 2008. SAINT 2008. Pp.1-7. 4. Allen B. Downey. Lognormal and Pareto distributions in the Internet // Computer Communications, 2005 Vol. 28. Issue 7. Pp.790-801. 5. Gou-feng Zhao, Qing Shan, Shasha Xiao, Chuan Xu. Modeling Web Browsing on Mobile Internet // Communications Letters. IEEE Vol.15. No10. Pp.1081-1083. October 2011. 6. Wim J. van der Linden. A Lognormal Model for Response Times on Test Items // Journal of Educational and Behavioral Statistics, 2006 Vol.31 No 2. Pp.181-204. Assessment of noise and loss minimization a multi-channeled inaccuracies in the detector setting a priori signalsRusanov V.E., Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
References 2.Oppenheim, A., Schafer R. Digital Signal Processing. Moscow: Technosphere, 2007. 856 p. 3.Levin B.R. The theoretical foundations of statistical radio engineering. Book One. Moscow:Sov. Radio, 1969. 752 p. 4.Nicolskiy S.M. A course in mathematical analysis. M. Fizmatlit,2001. 592 p. 5.E. Jahnke, F. Emde, F. Lesh, Special Functions, translated from German. Moscow: Nauka, 1968. 344 p. Evalution of time and energy parameters of low-frequency random pulse with arbitrary modulating functionSvidchenko S.S., Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
References 2.Kulikov E.I., Trifonov A.P. Estimation of signal parameters on the background noise. Moscow: Sov. Radio, 1978. 296 p. 3.Bassvil M., Wilske, A. Banventist A., et al. Detection signals and changes in the properties of dynamical systems / Academic Press, 1989. 278 p. 4.Zakharov A.V. Optimization algorithm for detecting a fluctuating radio pulse with an unknown time of arrival // Herald of the Voronezh State University. Series: Physics. Mathematics, 2005. No1. Pp. 46-56. 5.Trifonov A.P., Zakharov A.V., Parfenov V.I. Effective methods of random pulse signal with unknown parameters // Technology and Electronics, 1991. V.36. No 7. Pp. 1300-1308.
The institutionalization of entrepreneurship as a system-forming factor of information securityElena Grishanova, candidate of economic science, Assistant professor, manager of chair “Political Economy and Political Science” department, Moscow Technical University of Communications and Informatics Yaroslavna Artamonova, candidate of sociological science, Assistant professor of “Political Economy and Political Science” department, Moscow Technical University of Communications and Informatics Abstract
Keywords: Information security, entrepreneurship institutionalization, economic actors, economic conditions, national policy, objective (subjective) reality, economic culture, modern market, national regulation.
References 2. Merton R. Explicit and latent functions / Robert Merton. American Sociological Thought: Texts. M., 1994. P.40. 3. Barnard. The Functions of the Executive. Cambridge, Mass., 1938, P. 153., C Barnard. Organization and Management. Selected Papers. Cambridge, Mass., 1938. P. 58 / D.M. Gvishiani. Organization and management. M., 1972. 4. Gvishiani D.M. Organization and management. M., 1972. 5. Osipov G.V. Modern bourgeois sociology. Moscow: Nauka, 1964. P. 172. 6. Bobneva M.I. Social norms and behavior regulation. – Moscow: Nauka, 1978. – S. 25-31. 8. Weber, M. The Protestant Ethic and the Spirit of Capitalism // Selected Works of M. Weber. M., 1990. 9. Braudel F. Selected works. M., 1986. P.37. 10. Radaev V.V. Economic and sociological alternative to Karl Polanyi // Economic Sociology 2004. No 5. Pp.23-28. http://ecsoc.msses.ru/pdf/ecsoc_t5_n5.pdf. 11. Zaslavskaya T.I., Ryvkina R.V. Sociology of economic life: Studies in the History. Novosibirsk: Nauka. Sib. Branch, 1991. 448. 12. Shils E. Tradition. London, Boston, 1981. P.15. 13. Sztompka P. Sociology of social change. M., 1996. P.90. 14. Fligstin N. Fields, power, and social skills: critical analysis of new institutional flows of Economic Sociology, 2001. No 4. Pp.31-32. Electron. Dan. (1) file. ecsoc.msses.ru/pdf/ecsoc_t2_n4.pdf. |
The use of Rayleigh backscattering in a fiber to measure the spectrum of optical signalsGorbulenko V.V., Nany O.E., Nesterov E.T., Ozerov, A.G, Treschikov V.N.
Abstract
References 2. Gysel P., Staubli R.K. J. Lightwave Technol., 8, №4, 561 (1990). 3. Nesterov Ye.T., Treshchikov V.N.,.Ozerov A.Zh., Sleptsov M.A., Kamynin V.A., Naniy O.Ye., Susyan A.A. PZHTF., 37, № 9, 55 (2011). 4. Nesterov Ye.T., Sleptsov M.A., Treshchikov V.N., Nanij O.Ye., Susyan A.A., T-Comm, Telecommunications and Transport, No 8 (2010). P.51. 5. Tozoni O., Aksenov S.B., Podivilov Ye.V., Babin S.A. Quant. Electronics, 40, No10, 887 (2010). Compact loop diversity antenna system for wireless communicationsAnikin Konstantin Valerevich, postgraduate student in the department of “Radio Systems” at the Moscow Technical University of Communications and Informatics (MTUCI) Belyansky Vladimir Borisovich, candidate of physico-mathematical sciences, docent in the department of “Radio Systems” at the Moscow Technical University of Communications and Informatics (MTUCI)
Abstract
Keywords: Compact loop antenna system, magnetodielectric screens, polarization diversity, decoupling factor.
References 2. C.K. Ko Samuel and R.D. MurchCompact Integrated Diversity Antenna for Wireless Communications, IEEE Transactions on Antennas and Propagation, Vol. 49, No6, pp. 954-960, June 2001. New technical determinations on connectors of fiber opticPortnov E.L., Grigorjan A. K., Kochemasov D.V., Moscow Technical University of Communications and Informatics (MTUCI) Abstract
Keywords: Оptic fiber, connectors, field and mobile object, industial influence.
References 2. Glenair Fiber Optic Inteconnect Solutions. USA, 2010. 3. Portnov E.L. Principles of construction of primary networks, and optical cable lines. M. Goryachaya liniya- Telekom 2009, 544 p. 4. Portnov E.L. Optical cables and passive components of the communication lines. Moscow Goryachaya liniya- Telekom, 2007, 464 p. 5. A. Othonos and K. Kalli.Fiber Bragg grating Fundamentals and applications in telecommunications and sensing Artech House, Norwood, MA, 1999, 419 p. Separate call service to improve the efficiency of call centersAndryeev R.V., Tatarinova N.M. Abstract
References 2. Andreev R.V., Tatarinova N.M. Improved performance of Contact Center routing customers in IVR-menu // Report on the X International STC “PT and TT-2009”. Samara, 2009. A mathematical model of the system operator Center for Emergency ServicesKiselev I.V., Moscow Technical University of Communications and Informatics (MTUCI) Abstract
References 2. Stepanova I.V., Kiselev I.V. The results of the development of specialized software handle the traffic emergency // T-Comm, 2010. No7. Pp.64-65. 3. Kornyshev Yu.N., Pshenichnikov A.P., Kharkevich A.D. Teletraffic Theory. M.: Radio and Communication, 1996. 272. 4. Shneps M.A. Information distribution systems. Calculation methods: A Reference Guide. M: Communications, 1979. 344 p. 5. Kleinrock L. Queueing Theory. Moscow: Mashinostroenie, 1979. 432 p. Threshold characteristics of the arrival time estimate random pulseSvidchenko S.S., Moscow Technical University of Communications and Informatics (MTUCI) Abstract
References 2. Trifonov A.P., Zakharov A.V., Chernoyarov O.V. Estimate of the variance of the random pulse with unknown arrival time // Technology and Electronics, 1996. V.41. No10. Po.1207-1210. 3. Trifonov A.P., Nechaev E.P., Parfenov V.I. Detection of stochastic signals with unknown parameters. Voronezh, Voronezh State University, 1991. 246 p. 4. Kulikov E.I., Trifonov A.P. Parameter estimation for signals on the background noise. M.: Sov. Radio, 1978. 296 p. 5. Malakhov A.N. Cumulant non-Gaussian random processes, analyzes and transformations. M.: Sov. Radio, 1978. 376 p. The dependence of the limiting distribution of the risk assessment thresholding wavelet coefficients of the signal on the type of noise variance estimation when selecting an adaptive thresholdShestakov O.V., Moscow Technical University of Communications and Informatics (MTUCI) Abstract
Keywords: wavelets, threshold processing, adaptive threshold, an unbiased estimate of risk, asymptotic normality, the sample variance, the median absolute deviation from median.
References 2. Donoho D., Johnstone I.M. Ideal Spatial Adaptation via Wavelet Shrinkage // Biometrika, 1994. Vol. 81. No3. Pp. 425-455. 3. Donoho D. L., Johnstone I. M., Kerkyacharian G., Picard D. Wavelet Shrinkage: Asymptopia? // J.R. Statist. Soc. Ser. B., 1995. Vol. 57. No2. Pp. 301-369. 4. Marron J. S., Adak S., Johnstone I. M., Neumann M. H., Patil P. Exact Risk Analysis of Wavelet Regression // J. Comput. Graph. Stat., 1998. Vol. 7. Pp. 278-309. 5. Antoniadis A., Fan J. Regularization of Wavelet Approximations // J. Amer. Statist. Assoc., 2001. Vol. 96. No 455. Pp. 939-967. 6. Markin A.V. Shestakov O.V. On the consistency of the risk assessment process at the threshold of wavelet coefficients // Vestn. Moscow. University. Sor. 15. Computing. Mathematics. and Cybernetics., 2010. Number 1. Pp. 26-34. 7. Markin A.V. Limit distribution of the risk assessment process at the threshold of wavelet coefficients // Computer Science and Applications, 2009. V.3. No 4. Pp. 57-63. 8. Shestakov O. Approximation of the risk assessment thresholding wavelet coefficients of the normal distribution using the sample variance // Computer Science and Applications, 2010. V. 4. No 4. Pp. 73-81. 9. Jansen M. Noise Reduction by Wavelet Thresholding. Springer Verlag, Lecture notes in Statistics. Vol. 161. 2001. 10. Shestakov O.V. The asymptotic normality of the risk assessment thresholding wavelet coefficients of the adaptive threshold selection // Computer Science and Applications, 2012. 11. Dobechie I. Ten lectures on wavelets. Izhevsk: NITs Regular and Chaotic Dynamics, 2001. 12. Mallat S. A Wavelet Tour of Signal Processing. Academic Press, 1999. 13. Abramovich F., Silverman B.W. Wavelet Decomposition Approaches to Statistical Inverse Problems // Biometrika, 1998. Vol. 85. No1. Pp. 115-129. 14. Boggess A., Narkowich F. A First Course in Wavelets with Fourier Analysis. Prentice Hall, 2001. 15. Zakharova, T., Shestakov O. Wavelet analysis and its applications. Textbook. M.: MAX Press, 2009. 16. Serfling R. Approximation theorems of mathematical statistics, John Wiley and Sons. 1980. 17. Hall P., Welsh A.H. Limits theorems for median deviation // Annals of the Institute of Statistical Mathematics, 1985. Vol. 37. No1. Pp. 27-36. 18. W. Feller. An Introduction to Probability Theory and its Applications. M.: “The World”, 1984. 19. Vaart A.W., Wellner J.A. Weak convergence and empirical processes. Springer Verlag. New York. 1996. 20. Kolmogorov A.N. and Tikhomirov V.M. Entropy and capacity of sets in function spaces // Math 1959. V. 14. Number 2 (86). Pp. 3-86. 21. Alexander K. Probability inequalities for empirical processes and a law of the iterated logarithm // Ann. Probab., 1984. Vol. 12. No4. Pp. 1041-1067. 22. Shen X., Wong W.H. Convergence rate of sieve estimates // Ann. Statist., 1994. Vol. 22. No2. Pp. 580-615. Forward error correction on systems 10-100 Gbits/s with modulation formats NRZ, RZ, CRZGrigorian A.K., Moscow Technical University of Communications and Informatics (MTUCI) Abstract
References 2. Portnov E.L., Crop A.Ya., Zelyutkov E.A. Influence of polarization mode dispersion on the signal transduction // Proceedings of MTUCI. M.: “Foreign Media Pablisher”, 2008. Vol.1. Pp.341-344. 3. Portnov E.L., Zelyutkov E.A. On the dispersion length and the signal / noise // T-Comm – Telecommunications and Transport, 2008. No5. Pp.37-38. 4. Fiber-optic technology: Current status and prospects. Moscow: OOO “Fiber-optic technology”, 2005. P.575. Modulation type recognition using high order cumulantsA.A. Stogov, M.V. Tereshonok, D.S. Chirov, G.V. Kuzmin, Moscow Technical University of Communications and Informatics (MTUCI) Abstract The report concerns results of methods of digital modulation type recognition based on high order cumulants. It is shown that different order cumulants have different separating properties for different modulation types. The results of existing recognition methods are stated. A new method capable of wider variety of modulation types recognition is proposed. The proposed method advantages are conditioned by combination of cumulant analysis and phase distribution estimation techniques.
Keywords: cumulant analysis, digital modulation recognition, radio signal.
References 2. G. Hatzichristos, M.P. Fargues,Classification of Digital Modulation Types in Multipath Environments, IEEE, pp. 1494-1498, 2001. 3. A.F. Young, Classification of Digital Modulation Types in Multipath Environments, Master’s Thesis, NAVAL POSTGRADUATE SCHOOL, June 2008, p.83. 4. Stepanov A.V., Matveev S.A. Methods of computer processing of radio communication systems signals. Moscow: SOLON-Press, 2003. 208 p. Asymptotically optimal algorithms e-classification of signals in terms of a priori determination of the distribution of interferenceAfanasiev V.P., Korolkova T.W., Kosichkina T.P., Moscow Technical University of Communications and Informatics (MTUCI) Abstract
Keywords: signal recognition, asymptotically optimal algorithm, parametric a priori uncertainty, non-Gaussian noise.
References 2. Mahmoud Q.H.Cognitive Networks: Towards self-aware Networks, John Wiley and Sons, 2007. – 368 p. 3. Verdu S.Multiuser Detection. Cambridge, U.K.: Cambridge Univ. Press, 1998. – 497 p. 4. Chabdarov Sh.M., Zakirov Z.G. and other.Adaptive algorithmpermits multiple-signal // Telecommunications, 2003. No11. Pp. 2-5. 5. Chabdarov Sh.M., Nadeev A.F. and other.Distributed adaptive signal processing on a background of non-Gaussian noise // Nonlinear World, 2009. №5. Pp.355-360. 6. LevinB.R.Theoreticalfoundationsofstatisticalradioengineering.M.:RadioISvyaz, 1989, 656 p. 7. Repin V.G., Tartakovsky G.P.Statistical synthesis with a priori uncertainty and adaptation of information systems. Sov. Radio, 1977, 432 p. |
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