Content №2-2011

Platform and application software for smart-terminals of telematic systems

Abstract

In the paper requirements to a terminal of telematic systems are considered and a solution for its universal hardware_software platform for realization of information, communication and navigation functions is proposed. An accent is done on car terminals of intellectual transport systems, eCall services, in vehicle infotainment systems et al. Logical organization of the terminal is described with an accent on application software details. Software engines based approach for different functions support is proposed. Speech and navigation engines which are developed by SPIRIT on base of its proprietary technologies are described in details.

References

1. P. Przhibl, M. Svitek. Transport telematics. Praga-Moscow, 2004.

2. Domaratsky Y.A. Car terminals “ERA-GLONASS” – the basic functions and requirements for hardware and software platform. ChipExpo-2010.

3. Microsoft Corporation, MS Auto Platform Overview, 2008.

4. NXP Automotive Telematics On-board unit Platform (ATOP).

5. CSR launches SiRFprimaAuto location platform SoC. http://johndayautomotivelectronics.com/?p=4199.

6. Suresh Marisetty at al. Low Power Intel Architecture Platform for In_Vehicle Infotainment. Intel Technology Journal, vol.13, 2009.

7. R.A. Budnik, V.A. Sviridenko. Universal computing platform for information and communication and navigation terminals and software component for various applications. ChipExpo-2010,

8. V.A. Sviridenko. The hardware-software platform for TSC-terminals. “Embedded Systems”, No 1, 2011.

Vasilyev A.G., graduate student of”Economics and Management in transport ” (USFEU)

vasilyev@alexandr.by

Create a distributed network for the sale of bus tickets as a way of higher-availability of passenger transport

Abstract

Automating the process of bus stations in most cases aimed at streamlining the system of accounting reports, as well as reducing unnecessary costs of the enterprise. At the same time, the end user practically does not feel the changes in the process. Improving the use of technology bus stations should be aimed primarily at the consumer la services — passenger. One of the options for improving the systems of automatic control bus stations proposed in the paper.

Keywords: automation of the process, the automated system, we control, passenger transport, transport safety, throughput ability of the bus station ticket offices.

References

1. Vasiliev A.G. In servicefor the sale of passenger tickets as a way to increase the efficiency of long-distance road transport (for example, the Northern Bus Terminal Yekaterinburg) / VI International Scientific and Technical Conference.Yekaterinburg:USFEU, 2010. Part 2. pp. 85-87.

2. Vasiliev A.G. Background of the unified information network of road passenger transport in the Sverdlovsk region // Horizons Education, 2010. Section “Cars, trucks, farm machinery.” pp. 6-8. (http://edu.secna.ru/media/f/avt.zip).

3. 9001-2008 ISO Quality Management Systems. Requirements. Enter. 12/18/2008. Moscow: Standartinform, 2009. 26 p.

4. Terminals are challenging the leading channels of communication / COMCON, 2009. http://www.comcon_2.ru/ default.asp? artID = 1998.

5. Komaristy E.N. Information and modeling system for the study of civil aviation market. Novosibirsk IEIE SB RAS, 2006. 144 p.

6. Fadeev A.I. Guidelines to establish payment rates for scheduled bus transport. Krasnoyarsk:KSTU, 2008. 36 p.

Terehov A.N., Head of Laboratory MTUCI, kant@srd.mtuci.ru

Probability of functioning of a audio informational device, that was randomly selected for subscribers line

Abstract

Nonvolatile audio information devices are power supplied from stationary power source by means of subscriber line. Their energy effectiveness is double of prototypes because of rational energy use in DC circuit holding. The subscriber line output is limited by the cable length and type. The audio information devices operation probability dependence on subscriber lines length distribution is shown in the work.

Keywords: energy consumption, energy efficiency, subscriber line, audio information devices, probability, operation.

References

1. Orlov V.G., Terekhov A.N. Phone audioinformator powered subscriber line GTS. Vestnik Svyazi. No 2, 2006. pp. 38-41.

2. Kharchenko M.A. Statistical tables. Reference Guide. VSU Voronezh, 2000.

3. Manonina I.V., Terekhov A.N. Identification of the distribution of currents consumption audioinformatsionnyh devices with “volatile” communications. International Forum of Information (MFI-2010). Telekommunikational and computer systems. Proceedings. Moscow: Insvyazizdat, December 1, 2010. pp. 86-90.

4. Orlov, V.G., Terekhov A.N. Terms of mains service subscriber terminals. Proceedings of the STC faculty and ITS MTUCI, Book 1. Moscow: Insvyazizdat, 2006. 140 p.

5. Aivazian S.A., Mkhitaryan V.S. Applied Statistics. Foundations of econometrics. Moscow: Yuniti-Dana, 2001. 1088 p.

6. Manonina I.V., Terekhov A.N. Mathematical model of the current distribution provided by the AL. INTERMATIC-2010. Proceedings of the International conference on “Fundamental Problems of radio-electronic instrument”, Part 3. M. Energoatomizdat. November 23-27, 2010. pp. 197-202.

Terehov A.N., Head of Laboratory MTUCI, kant@srd.mtuci.ru

Telephone connection establishment reliability improvement with audionformation devices

Abstract

The reasons of connection reliability degradation phone number being changed are analyzed in the publication. New methods of dealing with that kind of problem are elaborated for information devices. The advantages of audio information nonvolatile devices versus typical ones were evaluated. The reliability degradation and compensation capability phone number being changed was evaluated.

Keywords: Energy consumption, subscriber line, audio information devices, reliability.

References

1. Terekhov A.N. Audioinformatsionnye device – a means of increasing comfort telephone communication // Journal of communication, No 8, 2008. pp. 71-72.

2. Marketing in the sectors and activities. M.: “Dashkov and K”, 2002.

3. GOST 13377-75 – Reliability in engineering. Terms and definitions.

4. Chelenkov A.S. Basis of classification of services as a marketing product. M. 1998.

5. Terekhov A.N. Audioinformatsionnye device to the telephone network // Proceedings of the STC faculty and ITS, Book 2, MTUCI 2008. pp. 270-274.

6. Introduction to Ergonomics: Guidelines for the study subjects for students in “Information Systems and Technologies” full-time and correspondence courses. Samara: SamGAPS, 2004. – 21 p.

7. Manonina I.V., Terekhov A.N. Audioinformatsionnym device management software with a “non-volatile” transfer of voice data for TCU. ROSPATENT – Certificate number 2011611227, 2011.

8. Orlov V.G., Terekhov A.N. Phone audioinformator powered subscriber PSTN // Bulletin communications, No 2, 2006. pp. 38-41.

Scherban I.V., Professor ofmultichannel communication systems, Ph.D., Associate Professor, GFR MTUCI, shcheri@mail.ru

Krivosheev G.V., Postgraduate multichannel telecommunication systems, SKF MTUCI, krivoy751@yandex.ru

Scherban O.G., assistant professor of communication systems and information processing, GFR MTUCI, shcheri@mail.ru

The module of amplification and relaying of the optical signals for the free space optics

Abstract

The deficit of the free space optics (FSO) is the dependence of admissible length of the atmospheric channel from properties of the propagation medium. The module of amplification and relaying of the optical signals is used in order to lower dependence of communication quality FSO from an atmosphere condition. The feasibility of the practical realization of the method suggested has been examined on the numerical example.

Keywords: free Space Optics (FSO), the factor of line availability, the optical amplifier, meteorological range of visibility.

References

1. Greenfield Optical Networks. K.: LLC “TTI” DS “, 2002.

2. Pavlov N.M. Availability factor AOLP atmospheric channel and methods of its determination // Photon Express-Science, 2006. No 6. pp.78-90.

3.http://www.grpz.ru.

4. Recommendations on the use of infrared technology for wireless local networks interconnected communication network in Russia. P.45.16_2002.

5. Ubaydullaev R.R. Fiber-optic network. M.: Eco-trendz, 1998.

6. Polanski S.V., Ignatov A.N. Some distance outside the specified link-availability of Novosibirsk // Bulletin SibSUTI, 2009. No4.pp. 73-82.

Kudryavtsev A.A., Moscow StateUniversity M.V. Lomonosov, Faculty of Computational Mathematics and Cybernetics, nubigena@hotmail.com

Shestakov O.V., Moscow State University M.V. Lomonosov, Faculty of Computational Mathematics and Cybernetics, oshestakov@cs.msu.su

The average risk assessment of the wavelet decomposition of the signal

Abstract

This article describes problems of assessing function of the signal. Signal is presented after it has passed through a homogeneous linear transducer with an additive Gaussian noise. Conditions of asymptotically normal estimate of risk are given.

Keywords: wavelet transform, the threshold processing, signal risk assessment, the asymptotic normality, linear homogeneous transformation, sustainable BASIS.

References

1. Donoho D., Johnstone I.M. Adapting to Unknown Smoothness via Wavelet Shrinkage // J. Amer. Stat. Assoc., 1995. Vol. 90. pp. 1200-1224.

2. Markin A.V. Shestakov O.V. Asymptotics of the risk assessment process at the threshold of wavelet coefficients in veyglet tomography // Computers and Applications, 2010. Vol. 4. No. 2. pp. 36-45.

3. Donoho D., Johnstone I.M. Ideal Spatial Adaptation via Wavelet Shrinkage // Biometrika, 1994. Vol. 81. Number 3. – pp. 425-455.

4. Donoho D.L., Johnstone I.M., Kerkyacharian G., Picard D. Wavelet Shrinkage: Asymptopia // J. R. Statist. Soc. Ser. B., 1995. Vol. 57. Number 2. pp. 301-369.

5. 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.

6. Antoniadis A., Fan J. Regularization of Wavelet Approximations // J. Amer. Statist. Assoc., 2001. Vol. 96. No 455. pp. 939-967.

7. Markin A.V., Shestakov O.V. On the consistency of risk assessment thresholding wavelet coefficients // Vestn. Moscow. un. Ser. 15. Calc. Math. and Cybernetics., 2010. No 1. pp. 26-34.

8. Markin A.V. Limiting distribution of the risk assessment process at the threshold of wavelet coefficients // Computers and Applications, 2009. Vol. 3. No. 4. pp. 57-63.

9. Shestakov O.V. Approximation of the risk assessment of thresholding wavelet coefficients by using the normal distribution of the sample variance // Computers and Applications, 2010. Vol. 4. No. 4. pp. 73-81.

10. Abramovich F., Silverman B.W. Wavelet Decomposition Approaches to Statistical Inverse Problems // Biometrika, 1998. Vol. 85, No 1. pp.115-129.

11. Lee N. Wavelet-vaguelette decompositions and homogenous equations: PhD dissertation. Purdue University, 1997.

12. Donoho D.L. Nonlinear solution of linear inverse problems by wavelet-vaguelette decomposition // Applied and Computational Harmonic Analysis, 1995. Vol. 2. pp. 101-126.

13. Mallat S. A wavelet tour of signal processing. Academic Press, 1999.

14. DaubechiI. Ten lectures on wavelets. Izhevsk: Regulyarnaya and Chaotic Dynamics, 2001.

15. Boggess A., Narkowich F. A First Course in Wavelets with Fourier Analysis. Prentice Hall, 2001.

16. Feller V. An introduction to probability theory and its applications. M.: Mir, 1967. Vol. 1.

Nguyen Anh Tuan, PostgraduateMTUCI, anhtuanru@gmail.com

Comparison of convergence process between various echo cancellation principles in mobile networks

Abstract

The article describes basic echo cancellation principle, a simple way to improve voice call quality of mobile communication. Bring a comparison of convergence process in corresponding echo cancellation algorithms.

Keywords: Electric echo effect, echo canceller, echo cancellation device, the mobile phone network.

References

1. Shavrin S.S. Elektricheskoe ekho: zagrajdat ili kompensirovavat /Vestnik svyazi, 2005, No 1. pp.30-32.

2. ITU-T. Digital Network Echo Cancellers. Draft text of revised Recommendation G.168 including changes agreed at SG15 Plenary. Geneva, 3-14 April, 2000.

3. Shavrin S.S. Effekt elektricheskovo ekha v telekommunikatsionnykh sistemakh. M.: Insvyazdat, 2009. 178 p.

4. ITU-T. Revised Recommendation G.114. One-way Transmission Time. Geneva, May, 2000.

5. ITU-T. Recommendation G.729. Coding Of Speech At 8 kbit/s Using Conjugate — Structure Algebraic — Code — Excited Unear — Prediction (CS — ACELP). ITU.

6.Tsybulin M.K. Suppression of electrical echo in telephone channels. M.: Radio I svyaz , 1988. 112 p.

Buslaev A.P., Provorov A.V., Yashina M.V., MTUCI

Modern approaches to the study of the behavior of a connected stream of particles with motivation

Abstract

We consider the collective motion of particles. It possesses a certain order or configuration. The behavior of each particle depends on the motion of neighboring particles. For example, if a unilateral movement of particles in a straight line, the leader moves on to some rule. Each of the following particles is driven and moves at a speed that sets the distance to the next particle distance safety (DS). When moving along parallel straight flow characteristics determines the behavior of leaders. Movement of the leaders is dependable.

Keywords: Collective motionof the particles, the study quantitative and qualitative characteristics movement.

References

1. Drew D.Theory of traffic flowand management. М. Transport, 1972, 1-424.

2. Greenshields B.D. The Photographic Method of Studding Traffic Behavior Highway RES. Board Proc. 1933, vol.13.

3. Greenshields B.D. A Study of Traffic Capacity Highway RES. Board Proc. 1934, vol.14.

4. Morrison R.B. The Traffic Flow Analogy to Compressible Fluid Flow, Advanced RES. Eng. Bull., 1964.

5. Inose H., Hamada T.Traffic Management. М.: Тransport, 1983.

6. APolicy on Geometric Design of Rural Highways, American Association of State Highway officials, Washington D.C., 1965.

7. A.P. Buslaev, A.V. Gasnikov, M.V. Yashina. Mathematical Problems of Traffic Flow Theory, In proc.: Сomputational and mathematical methods in science and engineering, Eds. J.Vigo_Aquiar, 2010. Vol. 1. pp. 307-313.

8. A.P. Buslaev, A.V. Gasnikov, M.V. Yashina. Selected Mathematical Problems of Traffic Flow Theory, International Journal of Computer Mathematics, Taylor — Francis, 2010, 27 p. (to appear).

Aleksyeev D.A., graduate student,St. Petersburg State University of Information Technologies, Mechanics and Optics, dima99@gmail.com

Splender L.V., student of Moscow State University of Instrument Engineering and Computer Science, mila.lily@gmail.com

Practical issues of application of simulation methods at modeling computeraided systems

Abstract

The purpose of this research is to develop a method for safe interaction of automated systems of government and military control. Specifics of mobile workstations in real time via the Internet is taken into account. The article covers the problem of simulation design of the interaction of mobile workstations in the implementation of computer attacks. A block diagram of a multilevel simulation model is suggested. The model describes “MARM” resistance to computer attacks on automated information systems.

Keywords: automated management information systems, mobile computer work stations, simulation methods, resistance to computer attacks.

References

1. Alekseev D.A. Management Model track transmission of confidential data between a mobile workstation and employee data center organizations across a distributed network // Materials Science and Engineering Conference “Safety and security of information in information technology and telecommunications systems,” St. Petersburg State University of Information Technologies, 2009. pp.31-33.

2. Alekseev D.A., Naumov V.V., Splender L.V. Methodical approach to evaluating the cost-effectiveness of information systems in financial institutions rugged mobile computer workstations // Collection of scientific articles graduate “Actual problems of the development of society, economy and law”, 2009. pp .57-61.

3. Klimov S.M. Methods and models of counter cyber attacks. Lyubertsy.: Katalit, 2008. 316 p.

4. Bahvalovl, .NS., Zhidkov N.P., Kobelkov G.M. Numerical methods. Moscow: Nauka, 1987. 257 p.

5. Berzin E.A. Optimal allocation of resources and elements of synthesis systems. M.: Publishing House “Soviet Radio”, 1974. 303 p.

6. Wentzel E.S., Ovcharov L.A. Probability theory and its engineering applications. Moscow: Nauka, 1998. 480 p.

7. Volkov V.N., Denisov A.A. Fundamentals of systems theory and systems analysis. St. Petersburg, St. Petersburg State Technical University, 1999.

8. Mesarovic M., Mako, D., Takahara I. Theory of hierarchical multilevel systems. M., Mir, 1973.

9. Ryzhikov Yu.I. Simulation. Theory and Technology. St. Petersburg.: Corona print; M.: Alteks_A, 2004. 384 p.

10. Sovetov B.Ya. Simulation systems: Manual. for schools. M.: High School, 2005. 343 p.