«INFORMATICS AND APPLICATIONS»
Scientific journal
Volume 7, Issue 4, 2013

Content | Abstract | About  Authors

References

STUDY OF THE DYNAMICS OF MULTIDIMENSIONAL STOCHASTIC SYSTEMS BASED ON ENTROPY MODELING.

  • A. N. Tyrsin   Science and Engineering Center «Reliability and Resource of Large Systems and Machines», Ural Branch, Russian Academy of Sciences, Yekaterinburg 620049, Russian Federation, at2001@yandex.ru
  • O. V. Vorfolomeeva  Chelyabinsk State University, Chelyabinsk 454001, Russian Federation, ya.olga.work@yandex.ru

References

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A LIMIT THEOREM FOR GEOMETRIC SUMS OF INDEPENDENT NONIDENTICALLY DISTRIBUTED RANDOM VARIABLES AND ITS APPLICATION TO THE PREDICTION OF THE PROBABILITIES OF CATASTROPHES IN NONHOMOGENEOUS FLOWS OF EXTREMAL EVENTS.

  • M. E. Grigoreva  Parexel International, Moscow 121609, Russian Federation, maria2grigoryeva@yandex.ru
  • V. Yu. Korolev  Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, victoryukorolev@yandex.ru
  • I. A. Sokolov   Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, isokolov@ipiran.ru

References

  1. Korolev, V. Yu., and I.A. Sokolov. 2005. Nekotorye voprosy analiza katastroficheskikh riskov, svyazannyh s neodnorodnymi potokami ekstremalnykh sobytiy [Some problems of the analysis of catastrophic risks related to nonhomogeneous flows of extremal events]. Sistemy i sredstva informatiki. Specialnyj vypusk Matematicheskie metody v informacionnyh tehnologijah [Systems andMeans of Informatics. Special Issue Mathematical Methods and Models of Informatics]. Moscow: IPI RAN. 109125.
  2. Korolev, V. Yu., I.A. Sokolov, A. S. Gordeev, M.E. Grigoreva, S. V. Popov, and N.A. Chebonenko. 2006. Nekotorye metody analiza vremennykh kharakteristik katastrof v neodnorodnykh potokakh ekstremalnykh sobytiy [Some methods for the analysis of temporal characteristics of catastrophes in nonhomogeneous flows of extremal events]. Sistemy i sredstva informatiki. Specialnyy vypusk Matematicheskie metody v informatsionnykh tehnologijakh [Systems and Means of Informatics. Special Issue Mathematical methods in information technologies]. Moscow: IPI RAN. 523.
  3. Korolev, V. Yu., I.A. Sokolov, A. S. Gordeev, M. E. Grigoreva, S. V. Popov, and N.A. Chebonenko. 2007. Nekotorye metody prognozirovaniya vremennykh kharakteristik riskov, svyazannykh s katastroficheskimi sobytiyami [Some methods for the prediction of the temporal characteristics of risks related to catastrophic events]. Aktuariy [Actuary] 1:3440.
  4. Korolev, V. Yu., and I.A. Sokolov. 2008. Matematicheskie modeli neodnorodnykh potokov ekstremalnykh sobytiy [Mathematical models of nonhomogeneous flows of extremal events]. Moscow: TORUS PRESS. 200 p.
  5. Korolev, V. Yu., and S. Ya. Shorgin. 2011. Matematicheskie metody analiza stokhasticheskoy struktury informatsionnykh potokov [Mathematical methods for the analysis of the stochastic structure of information flows]. Moscow: IPI RAN. 130 p.
  6. Korolev, V. Yu., A. V. Chertok, A. Yu. Korchagin, and A.K. Gorshenin. 2013. Veroyatnostno-statisticheskoe modelirovanie informatsionnykh potokov v slozhnykh finansovykh sistemakh na osnove vysokochastotnykh dannykh [Probability and statistical modeling of information flows in complex financial systems based on highfrequency data]. Inform. Appl. 7(1):1221.
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THE DISTRIBUTION OF THE RETURN TIME FROM THE SET OF OVERLOAD STATES TO THE SET OF NORMAL LOAD STATES IN A SYSTEM   M|M|1|<L,H>|<H,R>    WITH HYSTERETIC LOAD CONTROL .

  • Yu. V. Gaidamaka   Peoples Friendship University of Russia, Moscow 117198, Russian Federation, ygaidamaka@sci.pfu.edu.ru
  • A. V. Pechinkin  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, apechinkin@ipiran.ru
  • R. V. Razumchik   Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, rrazumchik@ieee.org
  • A. K. Samuylov  Peoples Friendship University of Russia, Moscow 117198, Russian Federation, asam1988@gmail.com
  • K. E. Samouylov  Peoples Friendship University of Russia, Moscow 117198, Russian Federation, ksam@sci.pfu.edu.ru
  • I. A. Sokolov  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, isokolov@ipiran.ru
  • E. S. Sopin  Peoples Friendship University of Russia, Moscow 117198, Russian Federation, sopin2eduard@yandex.ru
  • S. Ya. Shorgin  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, sshorgin@ipiran.ru

References

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ABOUT ONE TASK OF OVERLOAD CONTROL.

  • M. G. Konovalov   Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, mkonovalov@ipiran.ru

References

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  2. Konovalov, M. 2010. Multiagent model for jobs flows planning and pricing in distributed computing systems. 2010 Congress (International) on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT). ICUMTT, ICUMT-CS and Associated Workshops Proceedings. CDROM. IEEE, Catalog Number CFP1063G-CDR. ISBN 978-1-4244-7286-4. Report 1569339397.
  3. Konovalov, M.G., Yu. E.Malashenko, and I. A. Nazarova.  2011. Job control in heterogeneous computing systems. J. Comput. Syst. Sc. Int. 50(2):22037.
  4. Konovalov, M.G. 2012. Optimizatsiya raboty vychislitelnogo kompleksa s pomoshchyu imitatsionnoy modeli i adaptivnykh algoritmov [Computer system optimization using simulation model and adaptive algorithms]. Inform. Appl. 6(1):3748.
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  8. Abaev, P.O., Y. V. Gaidamaka, A. V. Pechinkin, R. V. Razumchik, and S. Ya. Shorgin. 2012. Simulation of overload control in SIP server networks. ECMS 2012: 26th European Conference onModelling and Simulation Proceedings. Koblenz, Germany. 53339.

FUNCTIONS OPTIMIZATION OF LAB - CONTRAST GRADED TRANSFORMATION.

  • O. P. Arkhipov   Oryol Branch, Institute of Informatics Problems, Russian Academy of Sciences, Oryol 302025, Russian Federation, arkhipov12@yandex.ru
  • Z. P. Zykova  Oryol Branch, Institute of Informatics Problems, Russian Academy of Sciences, Oryol 302025, Russian Federation, zykzoya@yandex.ru

References

  1. Arkhipov, O. P., and Z. P. Zykova. 2008. Dopechatnoe testirovanie individualnogo zritelnogo vospriyatiya [Preprinting test of individual visual perception]. Herald of Computer and Information Technologies 12:28.
  2. Arkhipov, O.P., and Z. P.Zykova. 2010. Integraciya geterogennoy informatsii o tsvetnykh pikselyakh i ikh tsvetovospriyatii [Integration of heterogeneous information about color pixels and their color perception]. Inform. Appl. 4(4):1425.
  3. Arkhipov, O. P., and Z.P. Zykova. 2010. Funktsionalnoe opisanie individualnogo tsvetovospriyatiya [Characteristics of color perceptual space]. Informatsionnye sistemy i tekhnologii [Information Systems andTechnologies] 5:512.
  4. Arkhipov, O. P., and Z.P. Zykova. 2010. RGB kharakterizatsija prostranstva tsvetovospriyatiya [RGBcharacterization of color perception space]. Systems and Means of Informatics 20(1):7390.
  5. Arkhipov, O. P., and Z.P. Zykova. 2011. Mnogokriterialnyy vybor testovogo mnozhestva pri issledovanii tsvetovospriyatiya [Multicriterion choice of test set when studying the color perception]. Informatsionnye tekhnologii [Information Technologies] 2:6773.
  6. Arkhipov, O. P., and Z.P. Zykova. 2011. Ravnokontrastnye gradatsionnye preobrazovaniya stupenchatykh tonovykh shkal [Equal contrast graded transformation of step tinted scales]. Informatsionnye sistemy i tekhnologii [Information Systems and Technologies] 4:3946.
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  9. Arkhipov, O. P., and Z.P. Zykova. 2013. Korrektsiya detalizatsii predstavleniy RGB-izobrazheniy na periferiynykh ustroystvakh PEVM [Correcting of detail presentations of RGB-images on peripherals of PC]. Informatsionnye Tekhnologii [Information Technologies] 2:5660.
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METHOD OF BIBLIOGRAPHIC INFORMATION EXTRACTION FROM FULL-TEXT DESCRIPTIONS OF INVENTIONS.

  • I. M. Zatsman   Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, iz_ipi@a170.ipi.ac.ru
  • V. A. Havanskov  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, havanskov@a170.ipi.ac.ru
  • S.K. Shubnikov  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, sergeysh50@yandex.ru

References

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  14. Kozhunova, O. 2012. Tsitirovanie dokumentov v patentakh kak indikator vzaimosvyazi oblastey nauki i tehnologiy [Citing documents in patents as an indicator for science and technologies linkages]. Systems and Means of Informatics 22(2):10628.
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  21. Zatsman, I.M. G.F. Verevkin, I. V. Drynova, O.A. Kurchavova, N. V. Larin, and T. P. Norekjan. 2006. Modelirovanie sistemin for matsionnogo monitoringa kak problema informatiki [Modeling of systems of information monitoring as informatics problem]. Systems and Means of Informatics. Nauchno-metodologicheskie problemy informatiki [Scientific and methodological problems of informatics]. Moscow: IPI RAN. 11239.
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ON CONVERGENCE OF THE DISTRIBUTIONS OF RANDOM SUMS TO SKEW EXPONENTIAL POWER LAWS.

  • M. E. Grigoreva  Parexel International,Moscow 121609, Russian Federation, maria-grigoryeva@yandex.ru
  • V. Yu. Korolev  Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, victoryukorolev@yandex.ru

References

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INVERSION OF SPHERICAL RADON TRANSFORM IN THE CLASS OF DISCRETE RANDOM FUNCTIONS.

  • O. V. Shestakov   Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, oshestakov@cs.msu.su
  • M. G. Kuznetsova  Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, m.g.kuznetsova@gmail.com
  • I. A. Sadovoy   Department of Mathematical Statistics, Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, isadovoy@gmail.com

References

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THE INFORMATION-ANALYTICAL COMPUTER SYSTEM “MEGALITH” IN OPTIMIZATION OF THE DIAGNOSIS AND TREATMENT OF UROLITHIASIS.

  • M. P. Krivenko  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, mkrivenko@ipiran.ru
  • S. A. Golovanov  Research Institute of Urology, Moscow 105425, Russian Federation, sergeygol124@mail.ru
  • P. A. Savchenko  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, psavchenko@ipiran.ru
  • A. V. Sivkov  Research Institute of Urology, Moscow 105425, Russian Federation, uroinfo@yandex.ru
  • A. P. Suchkov  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, asuchkov@ipiran.ru

References

  1. Ramello, A., C. Vitale, and D. Marangella. 2000. Epidemiology of nephrolithiasis. J.Nephrol. 13(Suppl. 3):45 50.
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ANALYSIS OF DATA HOMOGENEITY OF THE CHEMICAL COMPOSITIONS OF STONES IN CASE OF UROLITHIASIS.

  • M. P. Krivenko  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, mkrivenko@ipiran.ru
  • S. A. Golovanov  Research Institute of Urology, Moscow 105425, Russian Federation, sergeygol124@mail.ru
  • A. V. Sivkov  Research Institute of Urology, Moscow 105425, Russian Federation, uroinfo@yandex.ru

References

  1. Ramello, A., C. Vitale, and D. Marangella. 2000. Epidemiology of nephrolithiasis. J. Nephrol. 13(3):4550.
  2. Pak, C.Y., M. I. Resnick, and G.M. Preminger. 1997. Ethnic and geographic diversity of stone disease. Urology 50(4):5047.
  3. Takasaki, E. 1986. Chronologocal variation in the chemical composition of upper urinary tract calculi. J. Urology 136(1):59.
  4. Trinchieri, A., F. Coppi, E. Montanari, A. Del Nero, G. Zanetti, and E. Pisani. 2000. Increase in the prevalence of symptomatic upper urinary tract stones during the last ten years. Eur. Urol. 37:2325.
  5. Arias Funez, F., E. Garcia Cuerpo, F. Lovaco Castellanos, A. Escudero Barrilero, S. Avila Padilla, and J. Villar Palasi. 2000. Epidemiologia de la litiasis urinaria en nuestraUnidad. Evolucion en el tiempo y factores predictivos. [Epidemiology of urinary lithiasis in our unit. Clinical course in time and predictive factors]. Arch. Esp. Urol. 53(4):34347.
  6. Tiktinskij, O. L., and V. P. Aleksandrov. 2000. Mochekamennaya bolezn [Urolithiasis]. St. Petersburg, Russia: Piter. 379 p.
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PREDICTION AND CLASSIFICATION METHOD FOR CENSORED DATA.

  • T. V. Zakharova   Department of Mathematical Statistics, Faculty ofComputational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, lsa@cs.msu.ru
  • E. M. Abramova  Department of Mathematical Statistics, Faculty ofComputational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, Moscow 119991, Russian Federation, houselake@gmail.com

References

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  4. Halafjan, A.A. 2008. Sovremennye statisticheskie metody meditsinskikh issledovaniy [Advanced statistical methods for medical research].Moscow: Editorial URSS. 320 p.
  5. Zakharova, T.V., and M. V.Zoloeva. 2007. Prognozirovanie sostoyaniya patsientov [The patients conditions forecast]. Obozrenie prikladnoi i promyshlennoy matematiki [Review of Applied Industrial Mathematics] 14:29899.
  6. Dranitsyna, M.A., and T. V. Zakharova. 2009. Klassifikatsiya sostoyaniy patsientov s tselyu prognozirovaniya rezultatov lecheniya [Classification of patients conditions to forecast the outcomes of the treatment]. Obozrenie prikladnoy i promyshlennoymatematiki [Review of Applied Industrial Mathematics] 16:84041.
  7. Dranitsyna, M.A., and T. V. Zakharova. 2013. Diskriminantnyy analiz dlya klassifikatsii i prognozirovaniya rezultatov lecheniya [Discriminant analysis for classification and forecasting outcomes of the treatment]. Systems and Means of Informatics 23(2):8995.

CONCEPTUAL DECLARATIVE PROBLEM SPECIFICATION AND SOLVING IN DATA INTENSIVE DOMAINS.

  • L. Kalinichenko  Institute of Informatics Problems, Russian Academy of Sciences,Moscow 119333, Russian Federation, leonidandk@gmail.com
  • S. Stupnikov  Institute of Informatics Problems, Russian Academy of Sciences,Moscow 119333, Russian Federation, ssa@ipi.ac.ru
  • A. Vovchenko  Institute of Informatics Problems, Russian Academy of Sciences,Moscow 119333, Russian Federation, itsnein@gmail.com
  • D. Kovalev  Institute of Informatics Problems, Russian Academy of Sciences,Moscow 119333, Russian Federation, dm.kovalev@gmail.com

References

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PROBABILISTIC METHODS FOR SELF - CORRECTING HARDWARE DESIGN.

  • S. Dolev  Department of Computer Science, Ben-Gurion University, Beer-Sheva 84105, Israel, dolev@cs.bgu.ac.il
  • S. Frenkel  Institute of Informatics Problems, Russian Academy of Sciences, Moscow 119333, Russian Federation, Moscow Institute of Radio, Electronics, and Automation  «MIREA», Moscow 119454, Russian Federation, fsergei@mail.ru
  • D.E. Tamir  Department of Computer Science, Texas State University, San-Marcos, TX 78666, USA, dt19@txstate.edu

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