«INFORMATICS AND APPLICATIONS»
Scientific journal
Volume 6, Issue 1, 2012

Content | Bibliography | About  Authors

Abstract and Keywords.

SKEW STUDENT DISTRIBUTIONS, VARIANCE-GAMMA DISTRIBUTIONS AND THEIR GENERALIZATIONS AS ASYMPTOTIC APPROXIMATIONS.

• V. Korolev  Faculty of Computational Mathematics and Cybernetics, M.V. Lomonosov Moscow State University; IPI RAN, vkorolev@comtv.ru
• I.A. Sokolov  IPI RAN, isokolov@ipiran.ru

Abstract: The paper demonstrates that skew Student distributions and (skew) variance-gamma distributions can appear as limit laws in rather simple limit theorems for regular statistics, in particular, in the scheme of random summation of random variables and, hence, can be regarded as asymptotic approximations to the distributions of many processes related to the evolution of complex systems.

Keywords:  skew Student distribution; variance-gamma distribution; limit theorem; random sum; transfer theorem

MATHEMATICAL SUPPORT FOR NONLINEAR MULTICHANNEL CIRCULAR STOCHASTIC SYSTEMS ANALYSIS BASED ON DISTRIBUTION PARAMETRIZATION .

• I.N. Sinitsyn  IPI RAN, sinitsin@dol.ru

Abstract: Theory and mathematical support for nonlinear multichannel circular stochastic systems (CStS) on distribution parametrization are given. Themain topics are: circular orthogonal expansions (COE) for circular randomvariables and stochastic processes, stochastic equatioons for multichannel CStS, integrodifferential equations for one- and multidimensional densities, general COE method, methods of wrapped normal approximation, initial and central moments, software tools “CStS-ANALYSIS.” The results are illustrated by examples.

Keywords:  analytical modeling; circular random variable; circular stochastic process; coefficients of circular orthogonal expansion; “CStS-ANALYSIS;” MATLAB; nonlinear multichannel stochastic system; one- and multidimensional densities; circular orthogonal expansion; standard density; wrapped normal density

ANALYSIS AND OPTIMIZATION PROBLEMS FOR SOME USERS ACTIVITY MODEL.
PART 2. INTERNAL RESOURCES OPTIMIZATION.

• A. V. Bosov  IPI RAN, AVBosov@ipiran.ru

Abstract: The paper continues investigation of themathematicalmodel describing the activity of users sugessted by the author earlier. The problem of optimizing the distribution of information system internal resources based on the quadratic criterion of quality is formulated and solved. Suboptimal optimization algorithms are presented.

Keywords:  information system; stochastic observation system; quadratic criterion

ON A VIRTUAL WAITING TIME IN THE QUEUEING SYSTEMWITH HEAD-OF-THE-LINE PRIORITY AND HYPEREXPONENTIAL INPUT STREAM.

• A. V. Ushakov  IPI RAN, grimgnau@rambler.ru

Abstract: The single server queue with hyperexponential input stream, head-of-the-line priority discipline and two service disciplines, FIFO (first in, first out) and LIFO (last in, first out), for customers of one priority class is considered. The distributions of the virtual waiting time for each priority class are obtained.

Keywords:  virtual waiting time; head-of-the-line priority; hyperexponential input stream

A REFINEMENT OF NONUNIFORM ESTIMATES OF THE RATE OF CONVERGENCE IN THE CENTRAL LIMIT THEOREM UNDER THE EXISTENCE OF MOMENTS OF ORDER NOT HIGHER THAN THE SECOND.

• S. V. Popov  Faculty of Computational Mathematics and Cybernetics, M. V. Lomonosov Moscow State University, popovserg@yandex.ru

Abstract: Nonuniform estimates of the rate of convergence in the central limit theorem for sums of independent random variables with the moments of order not higher than the second are specified.

Keywords:  central limit theorem; convergence rate estimate; absolute constants

COMPUTER SYSTEM OPTIMIZATION USING SIMULATION MODEL AND ADAPTIVE ALGORITHMS.

• M.G. Konovalov  IPI RAN, mkonovalov@ipiran.ru

Abstract: A problem of effective jobs execution control in computer system is considered. An approach based on the use of adaptive strategies in the simulation model is proposed. On an example of the specific computer system, an original methodology of simulation model construction is outlined. As adaptive strategies, the gradient algorithms are used, developed in the theory of partially observed Markov decision-making process. The results of computational experiment are presented.

Keywords:  computer systems; simulation; adaptive algorithms

EXTRACTION OF IMPLICIT INFORMATION FROM THE TEXTS IN NATURAL LANGUAGE:
PROBLEMS AND METHODS.

• I. P. Kuznetsov  IPI RAN, igor-kuz@mtu-net.ru
• N. V. Somin  IPI RAN, somin@post.ru

Abstract: A semantic-oriented linguistic processor, which provides deep analysis of text in natural language and forms knowledge structures, is considered. A significant direction in development of such processors is connected with the extraction from the texts the named entities, their properties, and links, presented in implicit forms. The methods of such extraction at different levels of text analysis (lexical-grammatical, syntactical-semantic and conceptual) are proposed.

Keywords:  automatic text analysis; knowledge extraction; linguistic processor; implicit information

IDENTITY AND ACCESS MANAGEMENT OF THE USERS’ RIGHTS IN HIGH AVAILABLE DATA CENTER.

• M. V. Benderina  IPI RAN, mbenderina@ipiran.ru
• S. V. Borokhov  IPI RAN, sborokhov@ipiran.ru
• V. I. Budzko  IPI RAN, vbudzko@ipiran.ru
• P. V. Stepanov  IPI RAN, pvstepanov@ipiran.ru
• A. P. Suchkov  IPI RAN, asuchkov@ipiran.ru

Abstract: The functional and organizational charts and principles of the identity and access management of the users’ rights, developed for the two strategies to information protection, which are accepted by the organization or cloud computing community, are stated. The works organization procedure to create a centralized identity and access management system of the users’ rights as a part of the information security maintenance system for high available collective data-processing centers is defined.

Keywords:  high availability; information security; data-processing center

EXTENDING INFORMATION INTEGRATION TECHNOLOGIES FOR PROBLEM SOLVING OVER HETEROGENEOUS INFORMATION RESOURCES.

• L.A. Kalinichenko  IPI RAN, leonidk@synth.ipi.ac.ru
• S.A. Stupnikov  IPI RAN, ssa@ipi.ac.ru
• V.N. Zakharov  IPI RAN, vzakharov@ipiran.ru

Abstract: This position paper is an attempt to match up the emerging challenges for problem solving over heterogeneous distributed information resources. State-of-the-art in subject mediation technology reached at IPI RAN is presented. The technology is aimed at filling the widening gap between the users (applications) and heterogeneous resources of data, knowledge, and services. Also, the paper affects the semantic-based information integration technologies challenges including investigation of application-driven approach for problem solving in the subject mediator environment, a provision for support of executable declarative specifications of the applications over the mediator, enhancement of presence of knowledge-based facilities at the mediator level, and mediation of databases with nontraditional data models motivated by the need of large data support.

Keywords:  subject mediation; heterogeneous information resources; scientific problem solving; information integration; application-driven approach; rule-based languages; nontraditional data models

THE MOTIF INFORMATION ANALYSIS BASED ON THE SOLVABILITY CRITERION FOR THE PROTEIN SECONDARY STRUCTURE RECOGNITION.

• K. V. Rudakov  Dorodnicyn Computing Center of the Russian Academy of Sciences;Moscow Institute of Physics and Technology (State University), rudakov@ccas.ru
• I. Yu. Torshin  Russian Center of the Trace Element Institute for UNESCO, tiy135@yahoo.com

Abstract: The development of the formal description of recognition of protein secondary structure problem is presented. The key concepts of motif, informativity estimate of a motive, and the order of the motives, allowing to use the formalismfor the analysis of actual precedent sets are introduced. The experiments on the solvability testing indicate a possibility of an efficient selection of the most informative motifs.

Keywords:  algebraic approach; bioinformatics; locality; solvability; feature value classification

SPEAKER IDENTIFICATION SYSTEMFOR THE NIST SRE 2010.

• I.N.Belykh  Speech Technology Center, St.-Petersburg, belykh@speechpro.com
• A. I.Kapustin  Speech Technology Center, St.-Petersburg, kapustin@speechpro.com
• A. V.Kozlov  Speech Technology Center, St.-Petersburg, kozlov-a@speechpro.com
• A. I.Lohanova  Speech Technology Center, St.-Petersburg, lohanova@speechpro.com
• Yu.N.Matveev  Speech Technology Center, St.-Petersburg, matveev@speechpro.com
• T. S.Pekhovsky  Speech Technology Center, St.-Petersburg, tim@speechpro.com
• K.K. Simonchik  Speech Technology Center, St.-Petersburg, simonchik@speechpro.com
• А.K. Shulipa  Speech Technology Center, St.-Petersburg, shulipa@speechpro.com

Abstract: A description of a speaker identification system by voice is presented. This system was developed for submission on speaker recognition system evaluation at NIST SRE 2010.

Keywords:  biometry; speaker identification; voice recognition; pitch; formants; GMM; SVM; NIST

FAST PROCESSING OF FINGERPRINT IMAGES.

• V. J. Gudkov  Chelyabinsk State University, Department of AppliedMathematics, diana@sonda.ru
• M. V. Bokov  South Ural State University, Department of AppliedMathematics, guardian@mail.ru

Abstract: A consistent method of identification of individual features from fingerprint image with the severe restrictions is briefly described. Individual features are stored in the image template. The templates are used for fingerprint identification.

Keywords:  fingerprint; image processing; flow matrix; period matrix; minutiae

TEACHING OF SKIN EXTRACTION ALGORITHMS FOR HUMAN FACE COLOR IMAGES.

• Y. Vizilter  State Research Institute of Aviation Systems (GosNIIAS), viz@gosniias.ru
• V. Gorbatcevich  State Research Institute of Aviation Systems (GosNIIAS), gvs@gosniias.ru
• S. Karateev  State Research Institute of Aviation Systems (GosNIIAS), goga@gosniias.ru
• N. Kostromov  State Research Institute of Aviation Systems (GosNIIAS)

Abstract: Two methods for teaching of algorithms for the skin extraction in color images of human faces are proposed and discussed. The first method is based on self-organizing neural network called “growing neural gas.” The second one is based on morphological classification by minimal cutting of neighborhood graph for a training set in color space. The CIE Lab color space is applied for color description in both cases. The efficiency of both methods is demonstrated. The differences in selection results of the proposed methods are explored and demonstrated.

Keywords:  biometrics; human skin extraction; self-organizing neural networks; morphological classification; graph cut

REAL-TIME HAND GESTURE RECOGNITION BY PLANAR AND SPATIAL SKELETAL MODELS.

• A. V. Kurakin  Moscow Institute of Physics and Technology (State University), alekseyvk@yandex.ru

Abstract: The hand gesture recognition problem is considered. Algorithmto detect planar positions of fingertips by the image of hand silhouette is proposed. It operates with the analysis of continuous skeleton of the hand shape for silhouette segmentation. An extension of the algorithm to spatial case is presented. It uses stereo pair of hand silhouettes to estimate spatial positions of hand and fingertips. The developed methods work in real time, allowing their use in applied hand gesture recognition systems.

Keywords:  continuous skeleton; shape analysis; gesture recognition; stereovision

COMBINED APPROACH TO LOCALIZATION OF DIFFERENCES FOR MULTIMODAL IMAGES.

• D.M.Murashov  Dorodnicyn Computing Center, Russian Academy of Sciences, d murashov@mail.ru

Abstract: An approach to the problem of localization of the differences in multimodal images is suggested. The approach is based on specific object detectors and local information-theoretical image difference measures implemented as conditional entropy of the analyzed image pair. The proposed approach is applied to the problem of detecting repainting areas of fine art paintings using the images acquired in visible and ultraviolet spectral ranges.

Keywords:  multimodal images; measure of image difference; information-theoretical measure; conditional entropy; images of fine art paintings

SECURED BIOMETRIC VERIFICATION BASED ON FINGERPRINT TOPOLOGY BINARY REPRESENTATION.

• O. S. Ushmaev  IPI RAN, oushmaev@ipiran.ru
• V. V. Kuznetsov  IPI RAN, k.v.net@rambler.ru

Abstract: The paper deals with combination of cryptographic constructions and fingerprint identification. A technique of repeatable binary string extraction from fingerprint images is suggested. The binary features from topological relations between minutiae points are extracted. For an arbitrary minutiae point, the neighboring ridges are traced until the event is encountered: minutiae or projection of minutiae. Then, these events are encoded. Thus, 50– 100-bit descriptions for each minutiae point are obtained. In order to extract longer binary string, two techniques are suggested. The first one is the self-aligned technique, while the second one requires public helper. Thus, 384–756-bit binary string is extracted. The strings have approximately 20% erroneous bits, which are corrected using two-layer Bose–Chaudhuri–Hocquenghem (BCH) major voting codes. The experiments on FVC2002 DB1 dataset show that 20–40-bit error-free binary string can be reproduced from genuine fingerprint with 90 percent success rate.

Keywords:  secured biometric verification; fuzzy extractor; fingerprint