Аннотация: The paper presents a new pattern for design service-oriented architecture (SOA) for multiplatform applications applied in the creating user interfaces of distributed applications. The research aims to: (1) analysis of existing approaches to the development of multiplatform user interfaces, (2) development of a new SOA pattern based on existing patterns to be used in the development of multiplatform interfaces, (3) case study, which consists of the implementation of the proposed SOA pattern in a distributed application and its validation. In this study, a methodology development and optimization of information systems proposed by J. F. Nunamaker has been used. This approach is iterative and involves three main stages: (1) gathering the information about current approaches to development of architecture of Multiple User Interface (MUI), (2) an experimental phase includes the synthesis possible architectural solutions, (3) development of a system prototype. In the developed pattern design a layout of visualization services, containing different variants of output and markup, is performed within a single application using monitoring and dynamic reconfiguration mechanism according to the characteristics of the client device. A search for relevant services over the internet and their installation is possible. The practical significance of the result of this work is in reducing the cost of software development and improve the quality of their user interface by using new SOA pattern.

Ключевые слова: dynamic configuration pattern , adaptive design, cloud information system, design pattern, Service-Oriented Architecture, distributed applications, user interface, SOA patterns, multi-platform development, human-machine interaction

Библиография:
Gamma E. Pattern languages of program design 3. – Addison-Wesley Longman Publishing Co. – 1997. – S. 79–85.
Tsai W. T. et al. Service-oriented user interface modeling and composition //e-Business Engineering, 2008. ICEBE'08. IEEE International Conference on. – IEEE, 2008. – S. 21-28.
Arsanjani A. et al. SOMA: A method for developing service-oriented solutions //IBM systems Journal. – 2008. – T. 47. – №. 3. – S. 377-396.
Erl T., Patterns S. O. A. D. Prentice Hall PTR //Upper Saddle River, NJ. – 2009. p. 65.
Jain P., Schmidt D. C. Service Configurator: A Pattern for Dynamic Configuration and Reconfiguration of Communication Services. – 1996. – S. 303-307.
Castle B. Introduction to web services for remote portlets //IBM Developerworks. – 2005. p. 24.
Ali M. F. et al. Building multi-platform user interfaces with UIML //Computer-Aided Design of User Interfaces III. – Springer Netherlands, 2002. – S. 255-266.
Khogan B. HTML5 i CSS3. Veb-razrabotka po standartam novogo pokoleniya – Izdatel'skiy dom" Piter". – 2011. – 318 c.
Frain B. Responsive web design with HTML5 and CSS3. – Packt Publishing Ltd, 2012. – 324 c.
Nunamaker Jr J. F., Chen M., Purdin T. D. M. Systems development in information systems research //Journal of management information systems. – 1990. – T. 7. – №. 3. – S. 89-106.
Javahery H. et al. Multiple User Interfaces: Multiple-Devices, Cross-Platform and Context-Awareness, chapter 12 “Migrating User Interfaces between Platforms Using HCI Patterns”. – 2003. – 414 c.
Kaminski P., Müller H., Litoiu M. A design for adaptive web service evolution //Proceedings of the 2006 international workshop on Self-adaptation and self-managing systems. – ACM, 2006. – S. 86-92.

References (transliteration):
Gamma E. Pattern languages of program design 3. – Addison-Wesley Longman Publishing Co. – 1997. – S. 79–85.
Tsai W. T. et al. Service-oriented user interface modeling and composition //e-Business Engineering, 2008. ICEBE'08. IEEE International Conference on. – IEEE, 2008. – S. 21-28.
Arsanjani A. et al. SOMA: A method for developing service-oriented solutions //IBM systems Journal. – 2008. – T. 47. – №. 3. – S. 377-396.
Erl T., Patterns S. O. A. D. Prentice Hall PTR //Upper Saddle River, NJ. – 2009. p. 65.
Jain P., Schmidt D. C. Service Configurator: A Pattern for Dynamic Configuration and Reconfiguration of Communication Services. – 1996. – S. 303-307.
Castle B. Introduction to web services for remote portlets //IBM Developerworks. – 2005. p. 24.
Ali M. F. et al. Building multi-platform user interfaces with UIML //Computer-Aided Design of User Interfaces III. – Springer Netherlands, 2002. – S. 255-266.
Khogan B. HTML5 i CSS3. Veb-razrabotka po standartam novogo pokoleniya – Izdatel'skiy dom" Piter". – 2011. – 318 c.
Frain B. Responsive web design with HTML5 and CSS3. – Packt Publishing Ltd, 2012. – 324 c.
Nunamaker Jr J. F., Chen M., Purdin T. D. M. Systems development in information systems research //Journal of management information systems. – 1990. – T. 7. – №. 3. – S. 89-106.
Javahery H. et al. Multiple User Interfaces: Multiple-Devices, Cross-Platform and Context-Awareness, chapter 12 “Migrating User Interfaces between Platforms Using HCI Patterns”. – 2003. – 414 c.
Kaminski P., Müller H., Litoiu M. A design for adaptive web service evolution //Proceedings of the 2006 international workshop on Self-adaptation and self-managing systems. – ACM, 2006. – S. 86-92.

Аннотация: The article is devoted to optimization and execution of parallel decoding stages of the video signal compressed in accordance with specification Google VP9. The authors in detail discuss the most time consuming stages of decoding and restoring a compressed video and study possible optimization and parallel execution of algorithms underlying such steps using both CPUs and graphics cards with general-purpose computing support. The article gives a comprehensive assessment of the characteristics of the decoding stages, including the requirements for processor and memory subsystem. The main method of the study is in carrying out a numerical experiment with the collection of information of interest and then analyzing the results. Gathering of information is implemented by modifying the source code reference codec and subsequent assembly into a software codec application. The novelty of the work lies in the fact that it carried out a comprehensive analysis of the possibility of computational methods lying in the codec based. The research evaluates the feasibility of parallel calculations, taking into account peculiarities of the target hardware (MCCPU and GPGPU). The authors performed an optimization of arithmetic decoding step taking into account the statistical characteristics of the distribution of the lengths of literals, decoded from a compressed bit stream. In this article, the authors make conclusions regarding the most computationally complex decoding stages and the possibility of their optimization and parallel implementation, and analyze differences between the described codec a competing codec N265.

Ключевые слова: inter-frame prediction, optimization, memory access pattern, arithmetic coding, performance, Google VP9, codec, algorithm analysis, parallel programming, GPGPU

Библиография:
The H.264/MPEG4 Advanced Video Coding Standard and its Applications // http://iphome.hhi.de URL: http://iphome.hhi.de/wiegand/assets/pdfs/h264-AVC-Standard.pdf (data obrashcheniya: 09.12.2015).
Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC) // hlevkin.com URL: http://www.hlevkin.com/Standards/h264.pdf (data obrashcheniya: 09.12.2015).
Overview of the High Efficiency Video Coding (HEVC) Standard // http://iphome.hhi.de URL: http://iphome.hhi.de/wiegand/assets/pdfs/2012_12_IEEE-HEVC-Overview.pdf (data obrashcheniya: 09.12.2015).
High efficiency video coding // sist.sysu.edu.cn URL: http://sist.sysu.edu.cn/~isscwli/ref/h265.pdf (data obrashcheniya: 09.12.2015).
Web M and the New VP9 Open Video Codec // http://commondatastorage.googleapis.com URL: http://commondatastorage.googleapis.com/io-2013/presentations/258%20-%20VP9%20Preso%20for%20IO%20%28FINAL%29.pdf (data obrashcheniya: 09.12.2015).
Grois, D.; Marpe, D.; Mulayoff, A.; Itzhaky, B.; Hadar, O. Performance comparison of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders // Picture Coding Symposium. 2013.-S. 394-397.
David Solomon, Giovanni Motta. Handbook of data compression // Springer/-2010. – S. 170
Bit Twiddling Hacks // Stanford.edu URL: // https://graphics.stanford.edu/~seander/bithacks.html (data obrashcheniya 20.03.2016).
A VP9 Bitstream Overview // ietf.org URL: http://tools.ietf.org/html/draft-grange-vp9-bitstream-00 (data obrashcheniya: 13.12.2015).
TECHNICAL OVERVIEW O F VP8, AN OPEN SOURCE VIDEO CODEC F OR THE WEB // research.google.com URL: http://static.googleusercontent.com/media/research.google.com/ru//pubs/archive/37073.pdf (data obrashcheniya: 15.12.2015).
Voevodin V.V., Voevodin Vl. V. Spasitel'naya lokal'nost' superkomp'yuterov // Otkrytye sistemy.-2013. – №9.-S. 12-15
Asaduzzaman, A.; Suryanarayana, V.R.; Rahman, M. Performance-power analysis of H.265/HEVC and H.264/AVC running on multicore cache systems // Intelligent Signal Processing and Communications Systems. 2013.-S. 174-179.
Pat. 7982641 B1 SShA, US 12/613,830. Context-based adaptive binary arithmetic coding engine/ [Sposob kontekstno-adaptivnogo arifmeticheskogo kodirovaniya] Guan-Ming Su, Leung Chung Lai, Wenchi Hsu, Qian Tang, Li Sha, Ching-Han Tsai; zayavitel' i patentoobladatel' Marvell International Ltd (SShA).
Pat. 7808406 B2 SShA, US7808406 B2. Method and apparatus for realizing arithmetic coding/decoding / [Sposob i ustroystvo dlya osushchestvleniya arifmeticheskogo kodirovaniya] Yun He, Wei Yu, Ping Yang, Xinjian MENG; zayavitel' i patentoobladatel' Huawei Technologies Co., Ltd., Tsinghua University.
Pat. 13/801,350 SShA, US20130243093 A1. Motion vector coding and bi-prediction in hevc and its extensions / [Kodirovanie vektorov dvizheniya i dvukhstoronnyaya kompensatsiya dvizheniya dlya HEVC i ego rasshireniy] Ying Chen, Ye-Kui Wang, Li Zhang; zayavitel' i patentoobladatel' Qualcomm Incorporated.

References (transliteration):
The H.264/MPEG4 Advanced Video Coding Standard and its Applications // http://iphome.hhi.de URL: http://iphome.hhi.de/wiegand/assets/pdfs/h264-AVC-Standard.pdf (data obrashcheniya: 09.12.2015).
Draft ITU-T Recommendation and Final Draft International Standard of Joint Video Specification (ITU-T Rec. H.264 | ISO/IEC 14496-10 AVC) // hlevkin.com URL: http://www.hlevkin.com/Standards/h264.pdf (data obrashcheniya: 09.12.2015).
Overview of the High Efficiency Video Coding (HEVC) Standard // http://iphome.hhi.de URL: http://iphome.hhi.de/wiegand/assets/pdfs/2012_12_IEEE-HEVC-Overview.pdf (data obrashcheniya: 09.12.2015).
High efficiency video coding // sist.sysu.edu.cn URL: http://sist.sysu.edu.cn/~isscwli/ref/h265.pdf (data obrashcheniya: 09.12.2015).
Web M and the New VP9 Open Video Codec // http://commondatastorage.googleapis.com URL: http://commondatastorage.googleapis.com/io-2013/presentations/258%20-%20VP9%20Preso%20for%20IO%20%28FINAL%29.pdf (data obrashcheniya: 09.12.2015).
Grois, D.; Marpe, D.; Mulayoff, A.; Itzhaky, B.; Hadar, O. Performance comparison of H.265/MPEG-HEVC, VP9, and H.264/MPEG-AVC encoders // Picture Coding Symposium. 2013.-S. 394-397.
David Solomon, Giovanni Motta. Handbook of data compression // Springer/-2010. – S. 170
Bit Twiddling Hacks // Stanford.edu URL: // https://graphics.stanford.edu/~seander/bithacks.html (data obrashcheniya 20.03.2016).
A VP9 Bitstream Overview // ietf.org URL: http://tools.ietf.org/html/draft-grange-vp9-bitstream-00 (data obrashcheniya: 13.12.2015).
TECHNICAL OVERVIEW O F VP8, AN OPEN SOURCE VIDEO CODEC F OR THE WEB // research.google.com URL: http://static.googleusercontent.com/media/research.google.com/ru//pubs/archive/37073.pdf (data obrashcheniya: 15.12.2015).
Voevodin V.V., Voevodin Vl. V. Spasitel'naya lokal'nost' superkomp'yuterov // Otkrytye sistemy.-2013. – №9.-S. 12-15
Asaduzzaman, A.; Suryanarayana, V.R.; Rahman, M. Performance-power analysis of H.265/HEVC and H.264/AVC running on multicore cache systems // Intelligent Signal Processing and Communications Systems. 2013.-S. 174-179.
Pat. 7982641 B1 SShA, US 12/613,830. Context-based adaptive binary arithmetic coding engine/ [Sposob kontekstno-adaptivnogo arifmeticheskogo kodirovaniya] Guan-Ming Su, Leung Chung Lai, Wenchi Hsu, Qian Tang, Li Sha, Ching-Han Tsai; zayavitel' i patentoobladatel' Marvell International Ltd (SShA).
Pat. 7808406 B2 SShA, US7808406 B2. Method and apparatus for realizing arithmetic coding/decoding / [Sposob i ustroystvo dlya osushchestvleniya arifmeticheskogo kodirovaniya] Yun He, Wei Yu, Ping Yang, Xinjian MENG; zayavitel' i patentoobladatel' Huawei Technologies Co., Ltd., Tsinghua University.
Pat. 13/801,350 SShA, US20130243093 A1. Motion vector coding and bi-prediction in hevc and its extensions / [Kodirovanie vektorov dvizheniya i dvukhstoronnyaya kompensatsiya dvizheniya dlya HEVC i ego rasshireniy] Ying Chen, Ye-Kui Wang, Li Zhang; zayavitel' i patentoobladatel' Qualcomm Incorporated.

Аннотация: In many sectors and state administration agencies there is a great need in the software designed for specialized calculations like a popular MATLAB system combined with the Simulink graphical programming environment, but dealing with a particular database and task descriptions and not requiring any special payment. The main disadvantage of the MATLAB+Simulink package (apart from its price) is that the Simulink library of graphical primitives is in fact limited by popular and typical engineering calculating tasks. The author of the article emphasizes the need to develop the kind of programming environment which would be based on the freely distributed software. The programming environment described by the author supports on the 'client-server' concept and bases on the Java platform and web-technologies. The client uses the visual graphics editor implemented as a browser application. The server transmits data (task configuration) to the Octave calcuation package and vice versa, calculation results are transmitted to the browser. Data is transmitted online as the JSON line. The author creates the original programming architecture for specialized mathematical calcuation systems based on the freely distributed software. Taking into account the subsystem that stores the task configuration (and needs to be developed further), this architecture becomes the basis for creating specialized systems of the decision making processes in many spheres. The architecture provides a wide range of opportunities for further development.

Ключевые слова: mathematical , calculations, Java, JavaScript, Octave, Python, systems, support, making, decision

Библиография:
Kurakin P.V., Malinetskiy G.G., Mitin N.A., Makhov S.A. «MATLAB – Based Software for Decision Support Systems». Proceedings of International Conference on Computer Technologies in Physical and Engineering Applications (ICCTPEA 2014). SPb.: IEEE Catalog number CFP14BDA-USB, 2014. Russia, Saint-Petersburg, June 30 — July 4, 2014. S. 93.
Programmirovanie i nauchnye vychisleniya na yazyke Python https://ru.wikiversity.org/wiki/Programmirovanie_i_nauchnye_vychisleniya_na_yazyke_Python
Java (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Java.
Sistema podderzhki prinyatiya resheniy (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Sistema_podderzhki_prinyatiya_resheniy.
Ofitsial'nyy veb-sayt proekta Raphael http://raphaeljs.com/.
Udalennyy vyzov protsedur (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Udalennyy_vyzov_protsedur.
Jython (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Jython.
GNU Octave (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/GNU_Octave.
Servlet (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Servlet_(Java).
DWR (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/DWR.
Yahoo! UI Library (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Yahoo!_UI_Library.
Serializatsiya (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Serializatsiya.
HTTP (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/HTTP.
Apache Tomcat (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Apache_Tomcat.
Setevaya model' ISO (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Setevaya_model'_OSI.
Simulink (stat'ya v Wikipedia) https://en.wikipedia.org/wiki/Simulink.
Arkhitektura klient – server (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Klient-server.
Format opisaniya strukturirovannykh dannykh JSON (stat'ya v Wikipedia): http://ru.wikipedia.org/w/index.php?title=JSON.
R. D. Zukhba, P. V. Kurakin, G. G. Malinetskiy, S. A. Makhov, N. A. Mitin, A. P. Sorokin. “Programmno – matematicheskie kompleksy sistem podderzhki prinyatiya resheniy novogo pokoleniya”. – Preprint Instituta prikladnoy matematiki im. M. V. Keldysha RAN № 59, 2014 g. – 33 s.
MATLAB (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/MATLAB.
Kurakin P. V., Malinetskiy G. G., Mitin N. A., Makhov S. A., Barykina M. N., Zukhba R. D. «Programmno-matematicheskie kompleksy podderzhki prinyatiya resheniy v kosmicheskoy otrasli». Upravlenie razvitiem krupnomasshtabnykh sistem (MLSD’2015): Vos'maya mezhdunarodnaya konferentsiya, 29 sent.-1 okt. 2015 g, IPU im. V. A. Trapeznikova RAN. S. 12.

References (transliteration):
Kurakin P.V., Malinetskiy G.G., Mitin N.A., Makhov S.A. «MATLAB – Based Software for Decision Support Systems». Proceedings of International Conference on Computer Technologies in Physical and Engineering Applications (ICCTPEA 2014). SPb.: IEEE Catalog number CFP14BDA-USB, 2014. Russia, Saint-Petersburg, June 30 — July 4, 2014. S. 93.
Programmirovanie i nauchnye vychisleniya na yazyke Python https://ru.wikiversity.org/wiki/Programmirovanie_i_nauchnye_vychisleniya_na_yazyke_Python
Java (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Java.
Sistema podderzhki prinyatiya resheniy (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Sistema_podderzhki_prinyatiya_resheniy.
Ofitsial'nyy veb-sayt proekta Raphael http://raphaeljs.com/.
Udalennyy vyzov protsedur (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Udalennyy_vyzov_protsedur.
Jython (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Jython.
GNU Octave (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/GNU_Octave.
Servlet (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Servlet_(Java).
DWR (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/DWR.
Yahoo! UI Library (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Yahoo!_UI_Library.
Serializatsiya (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Serializatsiya.
HTTP (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/HTTP.
Apache Tomcat (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Apache_Tomcat.
Setevaya model' ISO (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Setevaya_model'_OSI.
Simulink (stat'ya v Wikipedia) https://en.wikipedia.org/wiki/Simulink.
Arkhitektura klient – server (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/Klient-server.
Format opisaniya strukturirovannykh dannykh JSON (stat'ya v Wikipedia): http://ru.wikipedia.org/w/index.php?title=JSON.
R. D. Zukhba, P. V. Kurakin, G. G. Malinetskiy, S. A. Makhov, N. A. Mitin, A. P. Sorokin. “Programmno – matematicheskie kompleksy sistem podderzhki prinyatiya resheniy novogo pokoleniya”. – Preprint Instituta prikladnoy matematiki im. M. V. Keldysha RAN № 59, 2014 g. – 33 s.
MATLAB (stat'ya v Wikipedia) https://ru.wikipedia.org/wiki/MATLAB.
Kurakin P. V., Malinetskiy G. G., Mitin N. A., Makhov S. A., Barykina M. N., Zukhba R. D. «Programmno-matematicheskie kompleksy podderzhki prinyatiya resheniy v kosmicheskoy otrasli». Upravlenie razvitiem krupnomasshtabnykh sistem (MLSD’2015): Vos'maya mezhdunarodnaya konferentsiya, 29 sent.-1 okt. 2015 g, IPU im. V. A. Trapeznikova RAN. S. 12.

Аннотация: Using frequency distributions of data as identifier it is possible to find data of one system in other systems intended for interaction and coordinate their work. In this case entity identification of a subject domain is done using the alphabet of search. An alphabet of search is a set of lexemes with frequencies of their use in the data, stored as records of a relational database. Object of the research is a technique of normalization of the alphabet of search for improvement of quality of entity identification in a subject domain using frequency characteristics of their data. The technique requires deleting lexemes of the alphabet found in other lexemes of the alphabet with similar frequency of repetition in entity. The methods of the research include the system analysis, the theory of the information, the theory of algorithms, algebra of logic, the theory of sets, the comparative analysis, methods of the intellectual analysis of data and methods of development of the software and databases. The authors prove experimentally (on an example 178 entity), that the given technique allows to reduce the volume of the alphabet of search in 5 times on average, that considerably increases speed of identification entity under frequency characteristics of their data. By reducing the quantity of shorter lexemes the technique of normalization allows to reduce an error of recognition on average by 0.02036 per identification as shown by experiments.

Ключевые слова: correlation, frequency analysis of data, entity, search, the alphabet, normalization, database, software, identification, method

Библиография:
Mal'shakov G.V. Metodika povysheniya interoperabel'nosti prikladnogo programmnogo obespecheniya na osnove chastotnogo analiza dannykh // Elektrotekhnicheskie kompleksy i sistemy upravleniya.-2015.-№ 3.-S. 67-70.
Mal'shakov G.V. Issledovanie oshibok identifikatsii sushchnostey prikladnogo programmnogo obespecheniya, vypolnyaemoy na osnove chastotnogo analiza dannykh // Naukoemkie tekhnologii.-2015.-№ 10.-S. 24-28
GOST R 55062-2012 “Informatsionnye tekhnologii. Sistemy promyshlennoy avtomatizatsii i ikh integratsiya. Interoperabel'nost'. Osnovnye polozheniya”
Bashmakov A.I., Bashmakov I.A. Intellektual'nye informatsionnye tekhnologii: Ucheb. Posobie. – M.: Izd-vo MGTU im. N.E. Baumana, 2005. – 304 s.
Khomonenko A. D., Tsygankov V. M., Mal'tsev M. G. Bazy dannykh: Uchebnik dlya vysshikh uchebnykh zavedeniy / Pod red. prof. A. D. Khomonenko.-6-e izd., dop.-SPb.: KORONA-Vek, 2009.-736 s.
Sistemy upravleniya bazami dannykh i znaniy: Sprav. izd. / A.N.Naumov, A.M.Vendrov, V.K.Ivanov i dr.; Pod. red. A.N.Naumova. – M.: Finansy i statistika, 1991. – 352 c.: il.

References (transliteration):
Mal'shakov G.V. Metodika povysheniya interoperabel'nosti prikladnogo programmnogo obespecheniya na osnove chastotnogo analiza dannykh // Elektrotekhnicheskie kompleksy i sistemy upravleniya.-2015.-№ 3.-S. 67-70.
Mal'shakov G.V. Issledovanie oshibok identifikatsii sushchnostey prikladnogo programmnogo obespecheniya, vypolnyaemoy na osnove chastotnogo analiza dannykh // Naukoemkie tekhnologii.-2015.-№ 10.-S. 24-28
GOST R 55062-2012 “Informatsionnye tekhnologii. Sistemy promyshlennoy avtomatizatsii i ikh integratsiya. Interoperabel'nost'. Osnovnye polozheniya”
Bashmakov A.I., Bashmakov I.A. Intellektual'nye informatsionnye tekhnologii: Ucheb. Posobie. – M.: Izd-vo MGTU im. N.E. Baumana, 2005. – 304 s.
Khomonenko A. D., Tsygankov V. M., Mal'tsev M. G. Bazy dannykh: Uchebnik dlya vysshikh uchebnykh zavedeniy / Pod red. prof. A. D. Khomonenko.-6-e izd., dop.-SPb.: KORONA-Vek, 2009.-736 s.
Sistemy upravleniya bazami dannykh i znaniy: Sprav. izd. / A.N.Naumov, A.M.Vendrov, V.K.Ivanov i dr.; Pod. red. A.N.Naumova. – M.: Finansy i statistika, 1991. – 352 c.: il.

Аннотация: The subject of research is increasing the accuracy of determining the exact position of the optical axis of a movie (video) camera, required for its use in experimental studies and tests of complex systems. The calculation of the optical axis can be carried out at predetermined reference points (reference points). This approach is effective when using stationary optical measuring points. With regard to the use of movie (video) cameras the authors developed an original method for obtaining the angular coordinates using three reference points, which allows calculating the optical axis of a movie (video) camera on a priori given reference points. The research methodology combines the methods of computational mathematics, physical optics, analytical geometry, reliability theory, metrology and testing aircraft. The novelty of the research is in development of a method for calculating the angle of the camera only from the values of the angles between the axes and the projection of the optical axis on the coordinate plane. The calculation errors in the reference examples does not exceed three arc seconds, which satisfies the needs of many experimental studies and tests of complex systems.

Ключевые слова: conversion of coordinates, spatial position of the camera, angular coordinates, camera angle, reference points, space coordinates, definition optical axis, optical axis of the cameras, binding to the optical axis, positioning your camcorder

Библиография:
Veselov Yu.G., Gulevich S.P., Erukov O.P., Sel'vesyuk N.I. Sovremennoe sostoyanie i perspektivy razvitiya optiko-elektronnykh sistem vozdushnoy razvedki // Vestnik akademii voennykh nauk. 2011. № 3. S. 124-128.
Volotov E.M. Metod opredeleniya fokusnogo rasstoyaniya videokamery pri otsenke letno-tekhnicheskikh kharakteristik letatel'nogo apparata // Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki. 2012. № 4 (24). S. 76-83.
Mitrofanov I.V., Volotov E.M., Mitrofanov E.I. Obrabotka informatsii, zaregistrirovannoy s pomoshch'yu sistemy videoregistratsii na baze videokamer obshchego naznacheniya // Nauchnye chteniya po aviatsii, posvyashchennye pamyati N.E. Zhukovskogo. 2013. № 1. S. 205-209.
Makarenko V.G., Bogomolov A.V., Rudakov S.V., Podorozhnyak A.A. Tekhnologiya postroeniya inertsial'no-sputnikovoy navigatsionnoy sistemy upravleniya transportnymi sredstvami s neyrosetevoy optimizatsiey sostava vektora izmereniy // Mekhatronika, avtomatizatsiya, upravlenie. 2007. № 1. S. 39-44.
Zaytsev A.V., Pugachev A.N., Tukeev D.L., Kharitonov V.V. Nauchno-metodicheskiy apparat mnogomernogo prognozirovaniya tekhnicheskogo sostoyaniya slozhnykh sistem voennogo naznacheniya // Voprosy oboronnoy tekhniki. Seriya 16: Tekhnicheskie sredstva protivodeystviya terrorizmu. 2015. № 5-6. S. 3-6.
Kuznetsov P.K., Kornev A.P. Metodika utochneniya polozheniya opticheskoy osi izobrazitel'noy sistemy kosmicheskogo apparata nablyudeniya // Vestnik Samarskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Tekhnicheskie nauki. 2005. № 37. S. 141-150.
Makarenko V.G., Podorozhnyak A.A., Rudakov S.V., Bogomolov A.V. Inertsial'no-sputnikovaya navigatsionnaya sistema upravleniya transportnymi sredstvami // Problemy upravleniya. 2007. № 1. S. 64-71.
Kharitonov V.V., Merezhko A.N., Esev A.A., Zykin A.P. Strukturnyy sistemnyy analiz protsessov upravleniya zatratami na letnye ispytaniya aviatsionnogo vooruzheniya i voennoy tekhniki // Izvestiya Instituta inzhenernoy fiziki. 2013. T. 2. № 28. S. 32-35.
Kos'yanchuk V.V. Sintez integrirovannykh sistem nablyudeniya i upravleniya s zadannymi dinamicheskimi kharakteristikami // Giroskopiya i navigatsiya. 2005. № 1 (48). S. 100.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
GOST R51794–2001. Sistemy koordinat. Metody preobrazovaniya koordinat opredelennykh tochek. M.: 2001.
Lobanov A.N. Fotogrammetriya. M.: Nedra, 1984. 502 s.
Solov'ev A.F. Geodeziya. Chast' 1. M.: Voennoe izdatel'stvo, 1966. 146 s.
Yavorskiy B.M., Pinskiy A.A. Osnovy fiziki. Tom 2. Kolebaniya i volny, Kvantovaya fizika. M., Nauka, 1981. 552 s.

References (transliteration):
Veselov Yu.G., Gulevich S.P., Erukov O.P., Sel'vesyuk N.I. Sovremennoe sostoyanie i perspektivy razvitiya optiko-elektronnykh sistem vozdushnoy razvedki // Vestnik akademii voennykh nauk. 2011. № 3. S. 124-128.
Volotov E.M. Metod opredeleniya fokusnogo rasstoyaniya videokamery pri otsenke letno-tekhnicheskikh kharakteristik letatel'nogo apparata // Izvestiya vysshikh uchebnykh zavedeniy. Povolzhskiy region. Tekhnicheskie nauki. 2012. № 4 (24). S. 76-83.
Mitrofanov I.V., Volotov E.M., Mitrofanov E.I. Obrabotka informatsii, zaregistrirovannoy s pomoshch'yu sistemy videoregistratsii na baze videokamer obshchego naznacheniya // Nauchnye chteniya po aviatsii, posvyashchennye pamyati N.E. Zhukovskogo. 2013. № 1. S. 205-209.
Makarenko V.G., Bogomolov A.V., Rudakov S.V., Podorozhnyak A.A. Tekhnologiya postroeniya inertsial'no-sputnikovoy navigatsionnoy sistemy upravleniya transportnymi sredstvami s neyrosetevoy optimizatsiey sostava vektora izmereniy // Mekhatronika, avtomatizatsiya, upravlenie. 2007. № 1. S. 39-44.
Zaytsev A.V., Pugachev A.N., Tukeev D.L., Kharitonov V.V. Nauchno-metodicheskiy apparat mnogomernogo prognozirovaniya tekhnicheskogo sostoyaniya slozhnykh sistem voennogo naznacheniya // Voprosy oboronnoy tekhniki. Seriya 16: Tekhnicheskie sredstva protivodeystviya terrorizmu. 2015. № 5-6. S. 3-6.
Kuznetsov P.K., Kornev A.P. Metodika utochneniya polozheniya opticheskoy osi izobrazitel'noy sistemy kosmicheskogo apparata nablyudeniya // Vestnik Samarskogo gosudarstvennogo tekhnicheskogo universiteta. Seriya: Tekhnicheskie nauki. 2005. № 37. S. 141-150.
Makarenko V.G., Podorozhnyak A.A., Rudakov S.V., Bogomolov A.V. Inertsial'no-sputnikovaya navigatsionnaya sistema upravleniya transportnymi sredstvami // Problemy upravleniya. 2007. № 1. S. 64-71.
Kharitonov V.V., Merezhko A.N., Esev A.A., Zykin A.P. Strukturnyy sistemnyy analiz protsessov upravleniya zatratami na letnye ispytaniya aviatsionnogo vooruzheniya i voennoy tekhniki // Izvestiya Instituta inzhenernoy fiziki. 2013. T. 2. № 28. S. 32-35.
Kos'yanchuk V.V. Sintez integrirovannykh sistem nablyudeniya i upravleniya s zadannymi dinamicheskimi kharakteristikami // Giroskopiya i navigatsiya. 2005. № 1 (48). S. 100.
Kukushkin Yu.A., Bogomolov A.V., Ushakov I.B. Matematicheskoe obespechenie otsenivaniya sostoyaniya material'nykh sistem // Informatsionnye tekhnologii. 2004. № 7 (prilozhenie). 32 s.
GOST R51794–2001. Sistemy koordinat. Metody preobrazovaniya koordinat opredelennykh tochek. M.: 2001.
Lobanov A.N. Fotogrammetriya. M.: Nedra, 1984. 502 s.
Solov'ev A.F. Geodeziya. Chast' 1. M.: Voennoe izdatel'stvo, 1966. 146 s.
Yavorskiy B.M., Pinskiy A.A. Osnovy fiziki. Tom 2. Kolebaniya i volny, Kvantovaya fizika. M., Nauka, 1981. 552 s.

Аннотация: The current development of the stock market requires development of infrastructure, software upgrades and new tools. In this regard the commission of trading on the stock exchange must also carry out the new methods. The development of modern information technology allows using computer resources for the study of the behavior of the stock market, for analysis and optimization of transaction algorithms on the stock market based on certain rules. The article describes the development of a tool for testing trading algorithms. As methodology the authors used the method of observation. As the object of observation the authors used financial assets such as stocks, futures, indexes. The article describes building of a software product that includes the features of a system of trading algorithm development combined with all the benefits of prototype software for creating, testing and optimization of trading algorithms, simplifying the end-user experience. The developed information system for testing trading algorithms has high performance due to use of LUA programming language.

Ключевые слова: stock market, C#, LUA, .NET, programming, software, data analisys, testing, optimizition, development

Библиография:
Milovanov M.M. Prognozirovaniya povedeniya instrumentov finansovykh rynkov s pomoshch'yu refleksivnykh protsessov // Elektronnyy nauchnyy zhurnal "Finansy i uchet".-2014.-Vypusk 4(26) Oktyabr'-Dekabr'. S. 21-23. [Elektronnyy resurs]. – Rezhim dostupa: http://www.finance-and-accounting.ingnpublishing.com/archive/2014/release-4-26-octoberdecember/milovanov_m_m_prognozirovaniya_povedeniya_instrumentov_finansovyh_rynkov_s_pomow_yu_refleksivnyh_processov/
Milovanov M.M. Primenenie refleksivnogo analiza kak osnovanie dlya kratkosrochnogo prognozirovaniya povedeniya finansovykh rynkov // Ekonomika i menedzhment innovatsionnykh tekhnologiy. 2015. № 2 [Elektronnyy resurs]. URL: http://ekonomika.snauka.ru/2015/02/8324 (data obrashcheniya: 07.04.2015).
Milovanov M.M. Primenenie tekhnicheskogo analiza dlya issledovaniya vnutridnevnykh trendov. Teplotekhnika i informatika v obrazovanii, nauke i proizvodstve: sbornik dokladov IV Vserossiyskoy nauchno-prakticheskoy konferentsii studentov, aspirantov i molodykh uchenykh (TIM’2015) s mezhdunarodnym uchastiem, posvyashchennoy 95-letiyu osnovaniya kafedry i universiteta (Ekaterinburg, 26–27 marta 2015 g.). – Ekaterinburg: UrFU, 2015. – 264 s.
Milovanov M.M. Informatsionnye tekhnologii. Elektronnyy uchebno-metodicheskiy kompleks / Elektron. dan.-Novokuznetsk: SibGIU, 2014.:il.-1 elektronnyy DVD disk (DVD-ROM); № gos. registratsii 0321400939
Korobeynikov A.G., Grishentsev A.Yu., Kutuzov I.M., Pirozhnikova O.I., Sokolov K.O., Litvinov D.Yu. Razrabotka matematicheskoy i imitatsionnoy modeley dlya rascheta otsenki zashchishchennosti ob'ekta informatizatsii ot nesanktsionirovannogo fizicheskogo proniknoveniya // Kibernetika i programmirovanie. - 2014. - 5. - C. 14 - 25. DOI: 10.7256/2306-4196.2014.5.12889. URL: http://www.e-notabene.ru/kp/article_12889.html
Golosovskiy M.S. Informatsionno-logicheskaya model' protsessa razrabotki programmnogo obespecheniya // Programmnye sistemy i vychislitel'nye metody. - 2015. - 1. - C. 59 - 68. DOI: 10.7256/2305-6061.2015.1.14119.
Ponomarev D.Yu. Programmnaya sistema dlya raspredeleniya nagruzki informatsionnykh sistem // Kibernetika i programmirovanie. - 2013. - 5. - C. 29 - 36. DOI: 10.7256/2306-4196.2013.5.9762. URL: http://www.e-notabene.ru/kp/article_9762.html
Labkovskaya R.Ya., Kozlov A.S., Pirozhnikova O.I., Korobeynikov A.G. Modelirovanie dinamiki chuvstvitel'nykh elementov gerkonov sistem upravleniya // Kibernetika i programmirovanie. - 2014. - 5. - C. 70 - 77. DOI: 10.7256/2306-4196.2014.5.13309. URL: http://www.e-notabene.ru/kp/article_13309.html
V.V. Golenkov, D.V. Shunkevich, I.T. Davydenko Cemanticheskaya tekhnologiya
proektirovaniya intellektual'nykh
reshateley zadach na osnove
agentno-orientirovannogo podkhoda // Programmnye sistemy i vychislitel'nye metody. - 2013. - 1. - C. 82 - 94. DOI: 10.7256/2305-6061.2013.01.7.

References (transliteration):
Milovanov M.M. Prognozirovaniya povedeniya instrumentov finansovykh rynkov s pomoshch'yu refleksivnykh protsessov // Elektronnyy nauchnyy zhurnal "Finansy i uchet".-2014.-Vypusk 4(26) Oktyabr'-Dekabr'. S. 21-23. [Elektronnyy resurs]. – Rezhim dostupa: http://www.finance-and-accounting.ingnpublishing.com/archive/2014/release-4-26-octoberdecember/milovanov_m_m_prognozirovaniya_povedeniya_instrumentov_finansovyh_rynkov_s_pomow_yu_refleksivnyh_processov/
Milovanov M.M. Primenenie refleksivnogo analiza kak osnovanie dlya kratkosrochnogo prognozirovaniya povedeniya finansovykh rynkov // Ekonomika i menedzhment innovatsionnykh tekhnologiy. 2015. № 2 [Elektronnyy resurs]. URL: http://ekonomika.snauka.ru/2015/02/8324 (data obrashcheniya: 07.04.2015).
Milovanov M.M. Primenenie tekhnicheskogo analiza dlya issledovaniya vnutridnevnykh trendov. Teplotekhnika i informatika v obrazovanii, nauke i proizvodstve: sbornik dokladov IV Vserossiyskoy nauchno-prakticheskoy konferentsii studentov, aspirantov i molodykh uchenykh (TIM’2015) s mezhdunarodnym uchastiem, posvyashchennoy 95-letiyu osnovaniya kafedry i universiteta (Ekaterinburg, 26–27 marta 2015 g.). – Ekaterinburg: UrFU, 2015. – 264 s.
Milovanov M.M. Informatsionnye tekhnologii. Elektronnyy uchebno-metodicheskiy kompleks / Elektron. dan.-Novokuznetsk: SibGIU, 2014.:il.-1 elektronnyy DVD disk (DVD-ROM); № gos. registratsii 0321400939
Korobeynikov A.G., Grishentsev A.Yu., Kutuzov I.M., Pirozhnikova O.I., Sokolov K.O., Litvinov D.Yu. Razrabotka matematicheskoy i imitatsionnoy modeley dlya rascheta otsenki zashchishchennosti ob'ekta informatizatsii ot nesanktsionirovannogo fizicheskogo proniknoveniya // Kibernetika i programmirovanie. - 2014. - 5. - C. 14 - 25. DOI: 10.7256/2306-4196.2014.5.12889. URL: http://www.e-notabene.ru/kp/article_12889.html
Golosovskiy M.S. Informatsionno-logicheskaya model' protsessa razrabotki programmnogo obespecheniya // Programmnye sistemy i vychislitel'nye metody. - 2015. - 1. - C. 59 - 68. DOI: 10.7256/2305-6061.2015.1.14119.
Ponomarev D.Yu. Programmnaya sistema dlya raspredeleniya nagruzki informatsionnykh sistem // Kibernetika i programmirovanie. - 2013. - 5. - C. 29 - 36. DOI: 10.7256/2306-4196.2013.5.9762. URL: http://www.e-notabene.ru/kp/article_9762.html
Labkovskaya R.Ya., Kozlov A.S., Pirozhnikova O.I., Korobeynikov A.G. Modelirovanie dinamiki chuvstvitel'nykh elementov gerkonov sistem upravleniya // Kibernetika i programmirovanie. - 2014. - 5. - C. 70 - 77. DOI: 10.7256/2306-4196.2014.5.13309. URL: http://www.e-notabene.ru/kp/article_13309.html
V.V. Golenkov, D.V. Shunkevich, I.T. Davydenko Cemanticheskaya tekhnologiya
proektirovaniya intellektual'nykh
reshateley zadach na osnove
agentno-orientirovannogo podkhoda // Programmnye sistemy i vychislitel'nye metody. - 2013. - 1. - C. 82 - 94. DOI: 10.7256/2305-6061.2013.01.7.

Аннотация: The paper presents a study of procedures of automated monitoring and regulation of the safety of aircraft, as well as procedures for the automated control of the changes in the air-operated transport system. Analysis of the dynamics of the safety of aircraft is required to obtain an objective assessment of the effectiveness of corporate safety management system and its planned development, that is a requirement of the standards of the International Air Transport Association and recommended practice of ICAO. A detection of unacceptable values in the current or forecasted level of the safety reflects the state of aviation transport system, characterized by a potentially high risk that requires a rapid response from analysis of aviation incidents and prerequisites to them to determining the cause of unacceptable changes with subsequent regulations in safety management. To solve this problem author uses results of regular monthly monitoring of the current level of safety in the airline statistics of aviation events registered in the safety management system of the company, which was then processed using the theory of probability and mathematical statistics. The novelty of the research is in created software for automated predictive safety monitoring of airlines using statistical detection of potentially dangerous changes in the level of safety, based on the analysis of retrospective information obtained as a result of monitoring of the safety of the flight, taking into account the requirements of international standards in the field of civil aviation.

Ключевые слова: monitoring of aircraft incidents, flight safety management, flight safety risks, statistical criterion, monitoring flight safety, statistical analysis, aviation avariology, management of risks, retrospective analysis, statistical forecasting

Библиография:
Shibanov G.P. Osnovnye ponyatiya i kolichestvennye otsenki, ispol'zuemye v aviatsii i kosmonavtike: anglo-russkiy slovar'-spravochnik dlya russkoyazychnykh spetsialistov. M.: Izdatel'skiy dom Akademii imeni N.E.Zhukovskogo, 2013. 463 s.
Statistika / Pod red. I.I. Eliseevoy. M.: OOO «VITREM», 2002. 448 s.
Marusina M.Ya., Tkalich V.L., Vorontsov E.A., Skaletskaya N.D. Osnovy metrologii, standartizatsii i sertifikatsii. Uchebnoe posobie. – SPb.: SPbGU ITMO, 2009. 164 s.
Ayvazyan S.A., Enyukov I.S., Meshalkin L.D. Prikladnaya statistika: Osnovy modelirovaniya i pervichnaya obrabotka dannykh. M.: Finansy i statistika, 1983. 471 s.
Kramer G. Matematicheskie metody statistiki. Per. s angl., 2 izd. M.: 1975. 224 s.
MI 2091. GSI. Izmereniya fizicheskikh velichin. Obshchie trebovaniya. – M.: Komitet standartizatsii i metrologii SSSR, 1991. 19 s.
Bol'shev L.N., Smirnov N.V. Tablitsy matematicheskoy statistiki, 3 izd. M.: 1983. 422 s.
Rudakov I.S., Rudakov S.V., Bogomolov A.V. Metodika identifikatsii vida zakona raspredeleniya parametrov pri provedeniya kontrolya sostoyaniya slozhnykh sistem // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2007. T. 5. № 1. S. 66–72.
Feshchenko K.B., Rudakov S.V., Kozlov V.E., Volobuev A.P., Bogomolov A.V. Matematicheskaya model' dinamiki sredney chislennosti priborov i apparatov meditsinskogo naznacheniya v usloviyakh razomknutogo tsikla metrologicheskogo obsluzhivaniya // Biomeditsinskaya radioelektronika. 2006. № 5–6. S. 99–103.
GOST 8.508–84. GSI. Metrologicheskie kharakteristiki sredstv izmereniy i tochnostnye kharakteristiki sredstv avtomatizatsii GSP. Obshchie metody otsenki kontrolya. –.M.: Izdatel'stvo standartov, 1984. 36 s.
Feshchenko K.B., Kozlov V.E., Bogomolov A.V., Volobuev A.P., Rudakov S.V. Metodika otsenivaniya prodolzhitel'nosti metrologicheskogo obsluzhivaniya izmeritel'nykh priborov i apparatnykh sredstv v usloviyakh razomknutykh metrologicheskikh tsepey // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2007. T. 5. № 1. S. 54–60.
Rukovodstvo po podgotovke analiza sostoyaniya bezopasnosti poletov v OAO «Aviakompaniya «YuTeyr», RD–I1.027–01. – Khanty–Mansiysk: «YuTeyr», 2013. 42 s.
Lushkin A.M., Chuyko A.A., Sulim A.S. Tipovoy algoritm obrabotki informatsii pri monitoringe urovnya bezopasnosti poletov // Materialy Vserossiyskoy nauchno–tekhnicheskoy konferentsii «XI Nauchnye chteniya, posvyashchennye pamyati N.E.Zhukovskogo». M: Izdatel'skiy dom Akademii imeni N.E.Zhukovskogo, 2014. S.116–118.
IOSA Standard Manual, Ed. 8, p. 3.3. [Elektronnyy resurs] IATA, 2014. URL:http://www.iata.org/whatwedo/safety/audit/iosa/Documents/IOSA%20Standards%20Manual%20Ed%208.pdf (data obrashcheniya – 20.08.2014).
Rukovodstvo po upravleniyu bezopasnost' poletov (RUBP). Izdanie tret'e. Doc.9859 – AN/474. – IKAO, 2013.
Guziy A.G., Lushkin A.M. Metodicheskiy podkhod k monitoringu pokazateley bezopasnosti poletov v aviakompanii // Problemy bezopasnosti poletov. № 4, 2009. S. 3–9.
Makarenko V.G., Bogomolov A.V., Rudakov S.V., Podorozhnyak A.A. Tekhnologiya postroeniya inertsial'no–sputnikovoy navigatsionnoy sistemy upravleniya transportnymi sredstvami s neyrosetevoy optimizatsiey sostava vektora izmereniy // Mekhatronika, avtomatizatsiya, upravlenie. 2007. № 1. S. 39–44.
S. 38–40. 5. Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46–54.
S. 52–60. 3. Esev A.A., Merezhko A.N., Tkachuk A.V. Tekhnologiya kvalimetrii tekhnicheskogo urovnya slozhnykh sistem // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. 2014. № 7 (121). S. 28–34.
Kolomiets L.V., Fedorov M.V., Bogomolov A.V., Merezhko A.N., Soldatov A.S., Esev A.A. Metod podderzhki prinyatiya resheniy po upravleniyu resursami pri ispytaniyakh aviatsionnoy tekhniki // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2010. T. 8. №
Guziy A.G., Onufrienko V.V. Metodologiya predotvrashcheniya aviatsionnykh proisshestviy cherez aktivnoe upravlenie urovnem bezopasnosti predstoyashchikh poletov // Problemy bezopasnosti i chrezvychaynykh situatsiy. 2006. №
Upravlenie bezopasnost'yu poletov. Prilozhenie 19 k Konventsii o mezhdunarodnoy grazhdanskoy aviatsii IKAO, dokument № 9859–AN/474 [Elektronnyy resurs]. Monreal': IKAO, 2013. URL:http://www.icao.int/Pages/default.aspx (data obrashcheniya – 07.08.2014).

References (transliteration):
Shibanov G.P. Osnovnye ponyatiya i kolichestvennye otsenki, ispol'zuemye v aviatsii i kosmonavtike: anglo-russkiy slovar'-spravochnik dlya russkoyazychnykh spetsialistov. M.: Izdatel'skiy dom Akademii imeni N.E.Zhukovskogo, 2013. 463 s.
Statistika / Pod red. I.I. Eliseevoy. M.: OOO «VITREM», 2002. 448 s.
Marusina M.Ya., Tkalich V.L., Vorontsov E.A., Skaletskaya N.D. Osnovy metrologii, standartizatsii i sertifikatsii. Uchebnoe posobie. – SPb.: SPbGU ITMO, 2009. 164 s.
Ayvazyan S.A., Enyukov I.S., Meshalkin L.D. Prikladnaya statistika: Osnovy modelirovaniya i pervichnaya obrabotka dannykh. M.: Finansy i statistika, 1983. 471 s.
Kramer G. Matematicheskie metody statistiki. Per. s angl., 2 izd. M.: 1975. 224 s.
MI 2091. GSI. Izmereniya fizicheskikh velichin. Obshchie trebovaniya. – M.: Komitet standartizatsii i metrologii SSSR, 1991. 19 s.
Bol'shev L.N., Smirnov N.V. Tablitsy matematicheskoy statistiki, 3 izd. M.: 1983. 422 s.
Rudakov I.S., Rudakov S.V., Bogomolov A.V. Metodika identifikatsii vida zakona raspredeleniya parametrov pri provedeniya kontrolya sostoyaniya slozhnykh sistem // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2007. T. 5. № 1. S. 66–72.
Feshchenko K.B., Rudakov S.V., Kozlov V.E., Volobuev A.P., Bogomolov A.V. Matematicheskaya model' dinamiki sredney chislennosti priborov i apparatov meditsinskogo naznacheniya v usloviyakh razomknutogo tsikla metrologicheskogo obsluzhivaniya // Biomeditsinskaya radioelektronika. 2006. № 5–6. S. 99–103.
GOST 8.508–84. GSI. Metrologicheskie kharakteristiki sredstv izmereniy i tochnostnye kharakteristiki sredstv avtomatizatsii GSP. Obshchie metody otsenki kontrolya. –.M.: Izdatel'stvo standartov, 1984. 36 s.
Feshchenko K.B., Kozlov V.E., Bogomolov A.V., Volobuev A.P., Rudakov S.V. Metodika otsenivaniya prodolzhitel'nosti metrologicheskogo obsluzhivaniya izmeritel'nykh priborov i apparatnykh sredstv v usloviyakh razomknutykh metrologicheskikh tsepey // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2007. T. 5. № 1. S. 54–60.
Rukovodstvo po podgotovke analiza sostoyaniya bezopasnosti poletov v OAO «Aviakompaniya «YuTeyr», RD–I1.027–01. – Khanty–Mansiysk: «YuTeyr», 2013. 42 s.
Lushkin A.M., Chuyko A.A., Sulim A.S. Tipovoy algoritm obrabotki informatsii pri monitoringe urovnya bezopasnosti poletov // Materialy Vserossiyskoy nauchno–tekhnicheskoy konferentsii «XI Nauchnye chteniya, posvyashchennye pamyati N.E.Zhukovskogo». M: Izdatel'skiy dom Akademii imeni N.E.Zhukovskogo, 2014. S.116–118.
IOSA Standard Manual, Ed. 8, p. 3.3. [Elektronnyy resurs] IATA, 2014. URL:http://www.iata.org/whatwedo/safety/audit/iosa/Documents/IOSA%20Standards%20Manual%20Ed%208.pdf (data obrashcheniya – 20.08.2014).
Rukovodstvo po upravleniyu bezopasnost' poletov (RUBP). Izdanie tret'e. Doc.9859 – AN/474. – IKAO, 2013.
Guziy A.G., Lushkin A.M. Metodicheskiy podkhod k monitoringu pokazateley bezopasnosti poletov v aviakompanii // Problemy bezopasnosti poletov. № 4, 2009. S. 3–9.
Makarenko V.G., Bogomolov A.V., Rudakov S.V., Podorozhnyak A.A. Tekhnologiya postroeniya inertsial'no–sputnikovoy navigatsionnoy sistemy upravleniya transportnymi sredstvami s neyrosetevoy optimizatsiey sostava vektora izmereniy // Mekhatronika, avtomatizatsiya, upravlenie. 2007. № 1. S. 39–44.
S. 38–40. 5. Fedorov M.V., Kalinin K.M., Bogomolov A.V., Stetsyuk A.N. Matematicheskaya model' avtomatizirovannogo kontrolya vypolneniya meropriyatiy v organakh voennogo upravleniya // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2011. T. 9. № 5. S. 46–54.
S. 52–60. 3. Esev A.A., Merezhko A.N., Tkachuk A.V. Tekhnologiya kvalimetrii tekhnicheskogo urovnya slozhnykh sistem // Vestnik komp'yuternykh i informatsionnykh tekhnologiy. 2014. № 7 (121). S. 28–34.
Kolomiets L.V., Fedorov M.V., Bogomolov A.V., Merezhko A.N., Soldatov A.S., Esev A.A. Metod podderzhki prinyatiya resheniy po upravleniyu resursami pri ispytaniyakh aviatsionnoy tekhniki // Informatsionno–izmeritel'nye i upravlyayushchie sistemy. 2010. T. 8. №
Guziy A.G., Onufrienko V.V. Metodologiya predotvrashcheniya aviatsionnykh proisshestviy cherez aktivnoe upravlenie urovnem bezopasnosti predstoyashchikh poletov // Problemy bezopasnosti i chrezvychaynykh situatsiy. 2006. №
Upravlenie bezopasnost'yu poletov. Prilozhenie 19 k Konventsii o mezhdunarodnoy grazhdanskoy aviatsii IKAO, dokument № 9859–AN/474 [Elektronnyy resurs]. Monreal': IKAO, 2013. URL:http://www.icao.int/Pages/default.aspx (data obrashcheniya – 07.08.2014).

Аннотация: the article is devoted to evaluation of possibility and effectiveness of the use of self-configuring genetic algorithm of global optimization to automate the task of determining the atomic crystal structure of new substances by its powder the x-ray diffraction. The suggested version of the self-configuring genetic algorithm was studied on the problem of determining the known crystal structure of a Ba2CrO4 chemical compound, which required finding the location of 7 independent atoms in the elementary cell of the crystal. To analyze the effectiveness and determining the convergence rate of structural models to the true structure of the substance in the process of evolutionary search the authors performed several dozen launches of selfconfiguring genetic algorithm with different population sizes of structural models and types of genetic operations. The essence of the self-configuration method is in the fact that choice of optimal genetic operators of selection, crossbreeding and mutation from the suggested set of possible variants is performed by the self-configuring genetic algorithm itself while solving the problem. The probability for the operators of being selected to generate the next generation of population of structural models adapts based on the success of evolution by using these operators on the previous generation. This leads to the automatic selection of the best operators providing convergence of structural models to the true crystal structure. One of the main problems that prevent the use of stochastic evolution of genetic algorithms for structure analysis is the need for a non-trivial empirical selection of genetic operators. Applying the self-configuring genetic algorithm to automate the selection of optimal genetic operators in the task of modeling atomic crystal structure of chemical compounds by the X-ray diffraction data is suggested for the first time. In determining the crystal structure of Ba2CrO4 using self-configuring genetic algorithm the convergence rate to the true crystal structure reached 80%. This creates the possibility of developing an automated evolutionary genetic algorithm for structural analysis based on the X-ray diffraction data.

Ключевые слова: evolutionary algorithms, genetic algorithms, self-configuration of genetic algorithms, crystal structure, X-ray powder diffraction, full-profile analysis, determination of crystal structure, self-configuration, diffraction pattern, genetic operators

Библиография:
Semenkina M.E., Semenkin E.S. Programma dlya resheniya zadach simvol'noy regressii samokonfiguriruemym algoritmom geneticheskogo programmirovaniya. – M.: Rospatent. 2012. № gos. reg. 2012619347.
Gumennikova A.V., Emel'yanova M.N., Semenkin E.S., Sopov E.A. Ob evolyutsionnykh algoritmakh resheniya slozhnykh zadach optimizatsii // Vestnik Sibirskogo gosudarstvennogo aerokosmicheskogo universiteta im. akademika M.F. Reshetneva. 2003. № 4. S. 14.
Semenkin E., Semenkina M. Stochastic Models and Optimization Algorithms for Decision Support in Spacecraft Control Systems Preliminary Design // Informatics in Control, Automation and Robotics.-Lecture Notes in Electrical Engineering, Springer-Verlag, Berlin Heidelberg. 2014. Vol. 283. P. 51-65.
Burakov S.V., Semenkin E.S. Solving variational and Cauchy problems with self-configuring genetic programming algorithms // International Journal of Innovative Computing and Applications. 2013. Volume 5, Issue 3. P. 152–162.
Semenkin E., Semenkina M. The Choice of Spacecrafts' Control Systems Effective Variants with Self-Configuring Genetic Algorithm. In: Ferrier, J.L. et al (Eds.): Informatics in Control, Automation and Robotics: Proceedings of the 9th International Conference ICINCO’2012.– Rome: Italy. 2012. Vol. 1. P. 84-93.
Semenkin E.S., Semenkina M.E. Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator // Advances in Swarm Intelligence. Lecture Notes in Computer Science 7331. – Springer-Verlag, Berlin Heidelberg. 2012. P. 414-421.
Meredig B., Wolverton C. A hybrid computational–experimental approach for automated crystal structure solution // Nature Materials. 2013. No. 12, P. 123–127.
Zaloga A. N., Burakov S. V., Semenkin E. S., Yakimov I. S.. A Research of Convergence of Multi-Population Binary and Real Genetic Algorithms for Solution of Crystal Structure from X-Ray Powder Diffraction Data // Applied Mechanics and Materials. Proceedings of APMSIT Conference. Shanghai, China. 2014.
Harris K. D. M. Powder Diffraction Crystallography of Molecular Solids // Top. Curr. Chem. 2012. No. 315. P. 133–177.
Harris K.D.M. Fundamentals and applications of genetic algorithms for structure solution from powder X-ray diffraction data // Computational Materials Science. 2009. V. 45. Issue 1. P. 16-20.
Yakimov Y. I., Semenkin E. S., Yakimov I. S. Two-level genetic algorithm for a fullprofile fitting of X-ray powder patterns // Z. Kristallogr. Suppl. 2009. No. 30. P. 21-26.
Griffin T.A.N., Shankland K., van de Streek J., Cole J. GDASH: a grid-enabled program for structure solution from powder diffraction data // J. Appl. Cryst. 2009. No. 42. P. 356-359.
Favre-Nicolin V., Cerny R. FOX, “free objects for crystallography”: a modular approach to ab initio structure determination from powder diffraction // J. Appl. Cryst. 2002. No. 35. P. 734-743.
David W.I.F., Shankland K. Structure determination from powder diffraction data // Acta Cryst. 2008. A64. P. 52-64.
Cerny R., Favre-Nicolin V. Direct space methods of structure determination from powder diffraction: principles, guidelines, perspectives // Z. Kristallogr. Suppl. 2007. No. 222. 105-113.
Young R.A. The Rietveld Method / Oxford University Press. 1995. 298 p.
Yakimov Ya.I., Kirik S.D., Semenkin E.S., Solov'ev L.A., Yakimov I.S. Evolyutsionnyy metod modelirovaniya kristallicheskoy struktury veshchestva po dannym poroshkovoy difraktsii // Zhurnal Sibirskogo federal'nogo universiteta, Khimiya. 2013. №6. S. 180-191.

References (transliteration):
Semenkina M.E., Semenkin E.S. Programma dlya resheniya zadach simvol'noy regressii samokonfiguriruemym algoritmom geneticheskogo programmirovaniya. – M.: Rospatent. 2012. № gos. reg. 2012619347.
Gumennikova A.V., Emel'yanova M.N., Semenkin E.S., Sopov E.A. Ob evolyutsionnykh algoritmakh resheniya slozhnykh zadach optimizatsii // Vestnik Sibirskogo gosudarstvennogo aerokosmicheskogo universiteta im. akademika M.F. Reshetneva. 2003. № 4. S. 14.
Semenkin E., Semenkina M. Stochastic Models and Optimization Algorithms for Decision Support in Spacecraft Control Systems Preliminary Design // Informatics in Control, Automation and Robotics.-Lecture Notes in Electrical Engineering, Springer-Verlag, Berlin Heidelberg. 2014. Vol. 283. P. 51-65.
Burakov S.V., Semenkin E.S. Solving variational and Cauchy problems with self-configuring genetic programming algorithms // International Journal of Innovative Computing and Applications. 2013. Volume 5, Issue 3. P. 152–162.
Semenkin E., Semenkina M. The Choice of Spacecrafts' Control Systems Effective Variants with Self-Configuring Genetic Algorithm. In: Ferrier, J.L. et al (Eds.): Informatics in Control, Automation and Robotics: Proceedings of the 9th International Conference ICINCO’2012.– Rome: Italy. 2012. Vol. 1. P. 84-93.
Semenkin E.S., Semenkina M.E. Self-configuring Genetic Algorithm with Modified Uniform Crossover Operator // Advances in Swarm Intelligence. Lecture Notes in Computer Science 7331. – Springer-Verlag, Berlin Heidelberg. 2012. P. 414-421.
Meredig B., Wolverton C. A hybrid computational–experimental approach for automated crystal structure solution // Nature Materials. 2013. No. 12, P. 123–127.
Zaloga A. N., Burakov S. V., Semenkin E. S., Yakimov I. S.. A Research of Convergence of Multi-Population Binary and Real Genetic Algorithms for Solution of Crystal Structure from X-Ray Powder Diffraction Data // Applied Mechanics and Materials. Proceedings of APMSIT Conference. Shanghai, China. 2014.
Harris K. D. M. Powder Diffraction Crystallography of Molecular Solids // Top. Curr. Chem. 2012. No. 315. P. 133–177.
Harris K.D.M. Fundamentals and applications of genetic algorithms for structure solution from powder X-ray diffraction data // Computational Materials Science. 2009. V. 45. Issue 1. P. 16-20.
Yakimov Y. I., Semenkin E. S., Yakimov I. S. Two-level genetic algorithm for a fullprofile fitting of X-ray powder patterns // Z. Kristallogr. Suppl. 2009. No. 30. P. 21-26.
Griffin T.A.N., Shankland K., van de Streek J., Cole J. GDASH: a grid-enabled program for structure solution from powder diffraction data // J. Appl. Cryst. 2009. No. 42. P. 356-359.
Favre-Nicolin V., Cerny R. FOX, “free objects for crystallography”: a modular approach to ab initio structure determination from powder diffraction // J. Appl. Cryst. 2002. No. 35. P. 734-743.
David W.I.F., Shankland K. Structure determination from powder diffraction data // Acta Cryst. 2008. A64. P. 52-64.
Cerny R., Favre-Nicolin V. Direct space methods of structure determination from powder diffraction: principles, guidelines, perspectives // Z. Kristallogr. Suppl. 2007. No. 222. 105-113.
Young R.A. The Rietveld Method / Oxford University Press. 1995. 298 p.
Yakimov Ya.I., Kirik S.D., Semenkin E.S., Solov'ev L.A., Yakimov I.S. Evolyutsionnyy metod modelirovaniya kristallicheskoy struktury veshchestva po dannym poroshkovoy difraktsii // Zhurnal Sibirskogo federal'nogo universiteta, Khimiya. 2013. №6. S. 180-191.

Аннотация: The authors present a brief analysis of electric transport market and on this basis make conclude the high relevance and demand for software applications for mobile devices, measuring static and dynamic characteristics of electric vehicles. The article reviews modern software and hardware for providing users of electric transport with relevant information about the state of electric vehicles. The authors select the mobile operating system for the realization of this idea. The algorithm of the mobile application is created considering the use of hardware facilities to obtain the raw data. The authors build the application architecture based on the main concepts and conventions of the selected mobile Android OS and study of the technical documentation, review articles, book and publications on a given topic. The article also demonstrates experiments on OS compatibility with hardware devices. The present paper show the relevance of development the mobile application for measuring static and dynamic characteristics of individual vehicles equipped with electric motors. The authors give a brief analysis of competing hardware and software for the same purpose and create the algorithm of the software application, which architecture is based on the methodology of the Model-View-Controller.

Ключевые слова: ОС Android, electric transport characteristics, electric transport, mobile applications, devices compatibility, software application algorithm, MVC architectural pattern, connecting USB-devices, USB-OTG, PowerWatcher

Библиография:
Popolov A. Elektrovelosiped segodnya i zavtra // Nauka i zhizn'. 1999. URL: http://www.nkj.ru/archive/articles/9589/ (data obrashcheniya: 15.02.14)
Srivastava S. Electric scooter sales ride on govt incentives, fuel prices // Live Mint & The Wall Street Journal. 2009. URL: http://www.livemint.com/Companies/SCsXh1dIucjykh86oPhUEP/Electric-scooter-sales-ride-on-govt-incentives-fuel-prices.html (data obrashcheniya: 15.02.14)
Logvin Yu. A. Control your moving // PowerWatcher.net. 2014. URL: http://powerwatcher.net/ (data obrashcheniya: 18.02.14)
StatCounter. StatCounter Global Stats: Top 8 Mobile Operating Systems from Jan to June 2014 // StatCounter Global Stats. 2014. URL: http://gs.statcounter.com/#mobile_os-ww-monthly-201401-201406 (data obrashcheniya: 05.06.14)
Brayan Khardi, Bill Fillips. Programmirovanie pod Android. Dlya professionalov. SPb.: Piter, 2014. 592 s.

References (transliteration):
Popolov A. Elektrovelosiped segodnya i zavtra // Nauka i zhizn'. 1999. URL: http://www.nkj.ru/archive/articles/9589/ (data obrashcheniya: 15.02.14)
Srivastava S. Electric scooter sales ride on govt incentives, fuel prices // Live Mint & The Wall Street Journal. 2009. URL: http://www.livemint.com/Companies/SCsXh1dIucjykh86oPhUEP/Electric-scooter-sales-ride-on-govt-incentives-fuel-prices.html (data obrashcheniya: 15.02.14)
Logvin Yu. A. Control your moving // PowerWatcher.net. 2014. URL: http://powerwatcher.net/ (data obrashcheniya: 18.02.14)
StatCounter. StatCounter Global Stats: Top 8 Mobile Operating Systems from Jan to June 2014 // StatCounter Global Stats. 2014. URL: http://gs.statcounter.com/#mobile_os-ww-monthly-201401-201406 (data obrashcheniya: 05.06.14)
Brayan Khardi, Bill Fillips. Programmirovanie pod Android. Dlya professionalov. SPb.: Piter, 2014. 592 s.

Аннотация: the study uses initial data in form of truth table of three-dimensional function of binary, ternary and mixed logics. Calculation of values of the functions is done by their geometric interpretations, disjunctive / conjunctive normal forms, incompletely connected artificial neural networks and perceptrons with hidden layer. The article in detail reviews the intermediate computation results for all methods mention above. The authors study properties of functions of mixed logic: binary-ternary and 3-2 logics in one-, two- and three-dimensions. The article presents mutually equivalent implementations of logic functions in the form of disjunctive normal form and in the form of incompletely connected artificial neural network. The authors performed replacement of continuous activation function with ternary threshold function. The study includes building disjunctive normal forms, direct synthesis of incompletely connected artificial neural network weights matrix. The perceptron is trained with Back Propagation algorithm. Some conclusions are formed based on the laws of mathematical induction. The article shows that: 1. minimization of the quantity of neurons in perceptron’s hidden layer implicitly leads to the usage of many-valued logics; 2. some functions of binary-ternary logics may be used to build disjunctive forms; 3. a bijective way to convert disjunctive normal form into the form of incompletely connected artificial neural network and vice versa exists; 4. in one-dimensional 3-2 logic there are only eight functions and all of them are listed; 5. proposed structure of incompletely connected artificial neural network may implement any function of ternary logic in any dimensionality.

Ключевые слова: XOR problem, perceptron, separating hyperplane, activation function, perfect disjunctive form, binary-ternary logic, 3-2 logic, ternary logic, neural network training, Back Propagation algorithm

Контактная информация: Giniyatullin Vakhit Mansurovich, 450062, Russia, Ufa, ul. Kosmonavtov, d. 1

Библиография:
1. Kodd E. F. Rasshirenie relyatsionnoy modeli dlya luchshego otrazheniya semantiki. // SUBD, 1996, №2.
S. 141-160.
2. Deyt K.Dzh. Vvedenie v sistemy baz dannykh. Moskva. Vil'yams. 2000. 848 s.
3. URL: http://dit.ipg.pt./MBP
4. Giniyatullin V.M. Modelirovanie logicheskikh funktsiy v neyrosetevom bazise. // Neftegazovoe delo, 2008
№ 1 C. 35-43.
5. URL: http://ru.wikipedia.org/wiki/Troichnye_funktsi

References (transliteration):
1. Kodd E. F. Rasshirenie relyatsionnoy modeli dlya luchshego otrazheniya semantiki. // SUBD, 1996, №2.
S. 141-160.
2. Deyt K.Dzh. Vvedenie v sistemy baz dannykh. Moskva. Vil'yams. 2000. 848 s.
3. URL: http://dit.ipg.pt./MBP
4. Giniyatullin V.M. Modelirovanie logicheskikh funktsiy v neyrosetevom bazise. // Neftegazovoe delo, 2008
№ 1 C. 35-43.
5. URL: http://ru.wikipedia.org/wiki/Troichnye_funktsi

Аннотация: existing software for data statistical analysis (SPSS, Statistica etc.) usually offer for defining correlations just methods applicable for finding linear relationships in numerical data, along with some relation indicators for rank, qualitative and mixed data. However actual relation between quantitative data is often nonlinear. This leads to the fact that present means do not allow identifying such relations, which can lead to false conclusions about the absence of correlation. An universal indicator of present statistical correlation between two rows of numerical data is sample coefficient of determination. There are two approaches to calculated that coefficient: first is based on the approximation of some unknown function with piecewise constant function, second is based on the smoothing available data. The article proposes software realization for both methods in R system. The advantage of this system is in the availability of a large number of specialized library functions for statistical analysis, as well as in writing programs for non-standard tasks. Testing of the developed application on model examples proved their correctness allowing the use for solving practical problems in nonlinear correlation analysis.

Ключевые слова: nonlinear relationship, coefficient of determination, software, R programming Language, data smoothing, correlation ratio, Pearson correlation coefficient, testing, data grouping, piecewise constant function

Контактная информация: Bakhrushin Vladimir Evgen’evich, 69002, Ukraine, Zaporozh’e, ul. Zhukovskogo, 70-B

Библиография:
1. Bakhrushin V.Є. Metodi analіzu danikh. – Zaporіzhzhya: KPU, 2011. – 268 s.
2. Gaydyshev I. Analiz i obrabotka dannykh. Spetsial'nyy spravochnik – SPb.: Piter, 2001. – 752 s.
3. Byuyul' A., Tsefel' P. SPSS: Iskusstvo obrabotki informatsii. Analiz statisticheskikh dannykh i
vosstanovlenie skrytykh zakonomernostey. – SPb.: DiaSoftYuP, 2005 – 608 s.
4. Khalafyan A.A. Statistica 6. Statisticheskiy analiz dannykh. – M.: OOO Binom-Press, 2008. – 512 s.
5. Kendel M. Rangovye korrelyatsii. – M.: Statistika, 1975. – 216 s.
6. Gauthier T. D. Detecting Trends Using Spearman’s Rank Correlation Coefficient // Environmental Forensics. – 2001.
No 2. – P. 359 – 362.
7. Bakhrushin A.V., Bakhrushin V.E. Testirovanie gipotez o nelineynykh svyazyakh s ispol'zovaniem yazyka
programmirovaniya R // Sistemnye tekhnologii: Regіonal'niy mіzhvuzіvs'kiy zbіrnik naukovikh prats'.
Dnіpropetrovs'k, 2013. – № 3(86). – S. 168 – 172.
8. Bakhrushin V.E. Metody otsenivaniya kharakteristik nelineynykh statisticheskikh svyazey // Sistemnі tekhnologії:
Regіonal'niy mіzhvuzіvs'kiy zbіrnik naukovikh prats'. Dnіpropetrovs'k, 2011. – № 2(73). – S. 9 – 14.
9. Anderson T. Statisticheskiy analiz vremennykh ryadov. – M.: Mir, 1976. – 755 s.
10. Bakhrushin V.Є., Pavlenko V.Є., Petrova S.V. Zastosuvannya pokaznikіv nelіnіynoї korelyatsії dlya pobudovi y
analіzu kros-korelyatsіynikh funktsіy // Skladnі sistemi і protsesi. – 2009, № 2. – S. 78 – 85.
11. Bakhrushin V.E., Pavlenko V.E., Petrova S.V. Primenenie vyborochnogo koeffitsienta determinatsii dlya
postroeniya i analiza kross-korrelyatsionnykh funktsiy // Fundamental'nye fiziko-matematicheskie
problemy i modelirovanie tekhniko-tekhnologicheskikh sistem / Pod red. Yu.M. Solomentseva, B.N.
Chetverushkina, A.V. Bogolyubova i dr. – M.: MGTU “STANKIN”, Yanus-K, 2010. – Vyp. 13. – S. 4
12. Statisticheskiy analiz dannykh v sisteme R / A.G. Bukhovets, P.V. Moskalev, V.P. Bogatova, T.Ya. Biryuchinskaya;
Pod red. prof. Bukhovtsa A.G. – Voronezh: VGAU, 2010. – 124 s.

References (transliteration):
1. Bakhrushin V.Є. Metodi analіzu danikh. – Zaporіzhzhya: KPU, 2011. – 268 s.
2. Gaydyshev I. Analiz i obrabotka dannykh. Spetsial'nyy spravochnik – SPb.: Piter, 2001. – 752 s.
3. Byuyul' A., Tsefel' P. SPSS: Iskusstvo obrabotki informatsii. Analiz statisticheskikh dannykh i
vosstanovlenie skrytykh zakonomernostey. – SPb.: DiaSoftYuP, 2005 – 608 s.
4. Khalafyan A.A. Statistica 6. Statisticheskiy analiz dannykh. – M.: OOO Binom-Press, 2008. – 512 s.
5. Kendel M. Rangovye korrelyatsii. – M.: Statistika, 1975. – 216 s.
6. Gauthier T. D. Detecting Trends Using Spearman’s Rank Correlation Coefficient // Environmental Forensics. – 2001.
No 2. – P. 359 – 362.
7. Bakhrushin A.V., Bakhrushin V.E. Testirovanie gipotez o nelineynykh svyazyakh s ispol'zovaniem yazyka
programmirovaniya R // Sistemnye tekhnologii: Regіonal'niy mіzhvuzіvs'kiy zbіrnik naukovikh prats'.
Dnіpropetrovs'k, 2013. – № 3(86). – S. 168 – 172.
8. Bakhrushin V.E. Metody otsenivaniya kharakteristik nelineynykh statisticheskikh svyazey // Sistemnі tekhnologії:
Regіonal'niy mіzhvuzіvs'kiy zbіrnik naukovikh prats'. Dnіpropetrovs'k, 2011. – № 2(73). – S. 9 – 14.
9. Anderson T. Statisticheskiy analiz vremennykh ryadov. – M.: Mir, 1976. – 755 s.
10. Bakhrushin V.Є., Pavlenko V.Є., Petrova S.V. Zastosuvannya pokaznikіv nelіnіynoї korelyatsії dlya pobudovi y
analіzu kros-korelyatsіynikh funktsіy // Skladnі sistemi і protsesi. – 2009, № 2. – S. 78 – 85.
11. Bakhrushin V.E., Pavlenko V.E., Petrova S.V. Primenenie vyborochnogo koeffitsienta determinatsii dlya
postroeniya i analiza kross-korrelyatsionnykh funktsiy // Fundamental'nye fiziko-matematicheskie
problemy i modelirovanie tekhniko-tekhnologicheskikh sistem / Pod red. Yu.M. Solomentseva, B.N.
Chetverushkina, A.V. Bogolyubova i dr. – M.: MGTU “STANKIN”, Yanus-K, 2010. – Vyp. 13. – S. 4
12. Statisticheskiy analiz dannykh v sisteme R / A.G. Bukhovets, P.V. Moskalev, V.P. Bogatova, T.Ya. Biryuchinskaya;
Pod red. prof. Bukhovtsa A.G. – Voronezh: VGAU, 2010. – 124 s.

Аннотация: the global trend in software development is focused on the cloud-based SaaSprojects. The traditional database servers are replaced by Database as a Service (DBaaS) in order to store the data in cloud-based application. The service of data storage provides transparent access to the database management system (DBMS) relieve the user from many tasks of data administration. The market offers many solutions for cloud file storage of corporate data. However, the relational databases are still in demand for solving the tasks of business automation and the use of SaaS-applications in small and medium business highlights the product’s cost lowering and leads to the choice in favor of open-source DBMS. Among such products the RDBMS PostgeSQL has enhanced functionality. This article is devoted to the ways of building a scalable and fail-safe DBaaS storage of PostgreSQL product line.

Ключевые слова: databases, file storage, corporate data, streaming database replication, operating data reserve, cluster, user, reliability, load testing, transaction

Контактная информация: Parfenov Yurii Pavlovich, 620002, Russia, Ekaterinburg, ul. Mira, 19

Библиография:
The Transaction Processing Performance Council [Elektronnyy resurs] //TPC-B measures throughput in terms of how many transactions per second a system can perform. [sayt] URL: http://www.tpc.org/tpcb/default.asp (data obrashcheniya: 14.03.2013)
PostgreSQL: Documentation: Manuals: [Elektronnyy resurs] // Appendix F. Additional Supplied Modules F.26. pgbench [sayt] URL: http://www.postgresql.org/docs/devel/static/pgbench.html (data obrashcheniya: 9.04.2013)
Dynamic Data Display [Elektronnyy resurs] URL: http://dynamicdatadisplay.codeplex.com/ (data obrashcheniya: 10.04.2013)
Cornell University Operations Research and Industrial Engineering [Elektronnyy resurs] // Penalized regression splines URL: http://ecommons.library.cornell.edu/bitstream/1813/9131/1/TR001249.pdf (data obrashcheniya: 10.04.2013)

References (transliteration):
The Transaction Processing Performance Council [Elektronnyy resurs] //TPC-B measures throughput in terms of how many transactions per second a system can perform. [sayt] URL: http://www.tpc.org/tpcb/default.asp (data obrashcheniya: 14.03.2013)
PostgreSQL: Documentation: Manuals: [Elektronnyy resurs] // Appendix F. Additional Supplied Modules F.26. pgbench [sayt] URL: http://www.postgresql.org/docs/devel/static/pgbench.html (data obrashcheniya: 9.04.2013)
Dynamic Data Display [Elektronnyy resurs] URL: http://dynamicdatadisplay.codeplex.com/ (data obrashcheniya: 10.04.2013)
Cornell University Operations Research and Industrial Engineering [Elektronnyy resurs] // Penalized regression splines URL: http://ecommons.library.cornell.edu/bitstream/1813/9131/1/TR001249.pdf (data obrashcheniya: 10.04.2013)

Аннотация: Path finding is a task of defining the optimal rout between two points in a space. Use of path finding algorithms allows controlling the moving of a character in 3D space with obstacles being avoided automatically, giving user the opportunity to fully immerse in the simulated 3D reality since the solutions to the problems of avatar moves is provided by the software environment itself. The article presents a modification of the navigation graph method of path finding in 3D space by setting a separate navigation graph for each 3D object. In that case each navigation graph specifies the paths inside and around a complex 3D object or a path around a simple 3D object. The modified algorithm is of significantly less computational cost for setting navigation graph, provides a more natural path and allows finding a rout with bypassing of moving objects. The proposed method is suitable for real-time applications and specifically due to the optimizations suggested in this article.

Ключевые слова: path finding, navigation graph, algorithm, optimization, advanced method, A* algorithm, navigation mesh, obstacles, dynamic objects, 3d space

Контактная информация: Vinokurova Svetlana Evgen’evna, 424000, Russia, Respublika Marii El, Yoshkar-Ola, ul. Panfilova, d. 17

Библиография:
A.Yu. Smorkalov. Matematicheskaya i programmnaya modeli generatsii tekstur na graficheskikh potokovykh protsessorakh // Programmnye sistemy i vychislitel'nye metody. – 2013. – № 1. – S. 104-107. DOI: 10.7256/2305-6061.2013.01.10.
Yap, P. Grid-Based Path-Finding / P.Yap // AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence-2002. – 44-55 pp.
Cui, X., Shi, H. A*-based Pathfinding in Modern Computer Games/ X. Cui, H. Shi // IJCSNS International Journal of Computer Science and Network Security-Vol.11 No.1, January 2011.
Tozour, P. Fixing Pathfinding Once and For All [Electronic resource] / Game AI.-Electronic data.-Mode acess: http://www.ai-blog.net/archives/000152.html. free.
Mika, M., Charla, C. Simple,Cheap Pathfinding / M. Mika, C. Charla // AI Game Programming Wisdom-2002.
O'Neill, J. S. Efficient Navigation Mesh Implementation / J. C. O'Neill // Journal of Game Development-Vol. 1 No. 1, 2004.-71-90 pp.
Akbar, A. Raycast Navigation Mesh Generation and Path Finding System [Electronic resource]-Electronic data.-Mode acess: http://syntheticarc.com/?q=node/6, free.
Botea, A., Muller, M., Schaeffer, J. Near Optimal Hierarchical Path-finding / A. Botea, M. Muller, J. Schaeffer // Journal of Game Development-Vol. 1 Issue 1, 2004.
I.A.Sadovin, A.Yu. Smorkalov. Sistema perenosa lektsiy v virtual'nyy mir vAcademia s ispol'zovaniem vozmozhnostey Microsoft Kinect i potokovykh protsessorov // Programmnye sistemy i vychislitel'nye metody. – 2013. – № 4. – S. 90-94. DOI: 10.7256/2305-6061.2013.04.10.

References (transliteration):
A.Yu. Smorkalov. Matematicheskaya i programmnaya modeli generatsii tekstur na graficheskikh potokovykh protsessorakh // Programmnye sistemy i vychislitel'nye metody. – 2013. – № 1. – S. 104-107. DOI: 10.7256/2305-6061.2013.01.10.
Yap, P. Grid-Based Path-Finding / P.Yap // AI '02 Proceedings of the 15th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artificial Intelligence-2002. – 44-55 pp.
Cui, X., Shi, H. A*-based Pathfinding in Modern Computer Games/ X. Cui, H. Shi // IJCSNS International Journal of Computer Science and Network Security-Vol.11 No.1, January 2011.
Tozour, P. Fixing Pathfinding Once and For All [Electronic resource] / Game AI.-Electronic data.-Mode acess: http://www.ai-blog.net/archives/000152.html. free.
Mika, M., Charla, C. Simple,Cheap Pathfinding / M. Mika, C. Charla // AI Game Programming Wisdom-2002.
O'Neill, J. S. Efficient Navigation Mesh Implementation / J. C. O'Neill // Journal of Game Development-Vol. 1 No. 1, 2004.-71-90 pp.
Akbar, A. Raycast Navigation Mesh Generation and Path Finding System [Electronic resource]-Electronic data.-Mode acess: http://syntheticarc.com/?q=node/6, free.
Botea, A., Muller, M., Schaeffer, J. Near Optimal Hierarchical Path-finding / A. Botea, M. Muller, J. Schaeffer // Journal of Game Development-Vol. 1 Issue 1, 2004.
I.A.Sadovin, A.Yu. Smorkalov. Sistema perenosa lektsiy v virtual'nyy mir vAcademia s ispol'zovaniem vozmozhnostey Microsoft Kinect i potokovykh protsessorov // Programmnye sistemy i vychislitel'nye metody. – 2013. – № 4. – S. 90-94. DOI: 10.7256/2305-6061.2013.04.10.

Аннотация: the task of visualization of information leads to a problem of acceptable and illustrative representation of the research results. Traditional tools for this area are not fully capable of solving the problem of visualization. Thus the visualization of data with geographic binding requires time, resources and in most special stuff training. At the same time GeoFlow instrument allows to quickly and eff ectively visualize data, analyze it and place as layers above the map. The aim of this research is to identify potential features and benefits of the studied software module, as well as the possibility of using it in practice when analyzing multiparameter geospatial data. The authors study modular multiparameter statistic data with geospatial binding as well as modern methods of its visualization. The scientific novelty of this study is in the formulation of the problem and in the solution of the problem of data visualization with geospatial binding that allows to visually display changes, its’ trends and principles. Data visualized with the presented program allows building dynamic scenes that increase the informativeness and the level of understanding giving an advantage over other types of visualization. The described method also allows adding 3D-visualisations over the map (such as animated diagrams) that are lacking in modern GIS such as ArcGis, MapInfo, etc.

Ключевые слова: data visualization, GIS technologies, geotagging, GeoFlow, cartographic base, geostatistics, data analysis, visualization techniques, multi-parameter data, visualization software

Контактная информация: Moskvichev Aleksandr Mikhailovich, 424000, Russia, Mari El, Yoshkar-Ola, pl. Lenina, d. 3

Библиография:
1. Zinov'ev, A. Yu. Vizualizatsiya mnogomernykh dannykh / A.Yu. Zinov'ev – Krasnoyarsk:
Izd. Krasnoyarskiy GTU, 2000. – 180 s.
2. Isakova, O. P. Obrabotka i vizualizatsiya dannykh fizicheskikh eksperimentov s
pomoshch'yu paketa Origin / Isakova O.P., Tarasevich Yu.Yu., Yuzyuk Yu.I. – M: Izd.
Librokom, 2009. – 138 s.
3. Eyndzhel E. Interaktivnaya komp'yuternaya grafika. Vvodnyy kurs na baze OpenGL.
–M.: Izdatel'skiy dom “Vil'yams”, 2001. –592 s.
4. Karpik A.P. Metodologicheskie i tekhnologicheskie osnovy geoinformatsionnogo
obespecheniya territoriy: Monografiya. – Novosibirsk: SGGA, 2004. – 260 s.
5. Zhurkin I. G., Shaytura S. V. Geoinformatsionnye sistemy. – Moskva: KUDITs-
PRESS, 2009. – 272 s.
6. Pitenko A. A. Neyrosetevoy analiz v geoinformatsionnykh sistemakh // Avtoreferat
dissertatsii na soiskanie uchenoy stepeni kandidata tekhnicheskikh nauk po
spetsial'nosti 05.13.16, Krasnoyarsk, 2000.
7. Instrument GeoFlow [Ofitsial'nyy sayt]. URL: http://microsoftbi.ru/tag/geoflow/
(data obrashcheniya: 20.12.2013).
8. Karty Bing [Ofitsial'nyy sayt]. URL: http://www.bing.com/maps/ (data obrashcheniya:
20.12.2013).
9. Sistemnye trebovaniya dlya GeoFlow [Ofitsial'nyy sayt]. URL: http://www.microsoft.
com/en-us/download/details.aspx?id=38395 (data obrashcheniya: 20.12.2013).
10. Chislennost' ekonomicheski aktivnogo naseleniya FSGS [Ofitsial'nyy sayt]. URL:
http://www.gks.ru/free_doc/new_site/population/trud/trud1.xls (data obrashcheniya: 20.12.2013

References (transliteration):
1. Zinov'ev, A. Yu. Vizualizatsiya mnogomernykh dannykh / A.Yu. Zinov'ev – Krasnoyarsk:
Izd. Krasnoyarskiy GTU, 2000. – 180 s.
2. Isakova, O. P. Obrabotka i vizualizatsiya dannykh fizicheskikh eksperimentov s
pomoshch'yu paketa Origin / Isakova O.P., Tarasevich Yu.Yu., Yuzyuk Yu.I. – M: Izd.
Librokom, 2009. – 138 s.
3. Eyndzhel E. Interaktivnaya komp'yuternaya grafika. Vvodnyy kurs na baze OpenGL.
–M.: Izdatel'skiy dom “Vil'yams”, 2001. –592 s.
4. Karpik A.P. Metodologicheskie i tekhnologicheskie osnovy geoinformatsionnogo
obespecheniya territoriy: Monografiya. – Novosibirsk: SGGA, 2004. – 260 s.
5. Zhurkin I. G., Shaytura S. V. Geoinformatsionnye sistemy. – Moskva: KUDITs-
PRESS, 2009. – 272 s.
6. Pitenko A. A. Neyrosetevoy analiz v geoinformatsionnykh sistemakh // Avtoreferat
dissertatsii na soiskanie uchenoy stepeni kandidata tekhnicheskikh nauk po
spetsial'nosti 05.13.16, Krasnoyarsk, 2000.
7. Instrument GeoFlow [Ofitsial'nyy sayt]. URL: http://microsoftbi.ru/tag/geoflow/
(data obrashcheniya: 20.12.2013).
8. Karty Bing [Ofitsial'nyy sayt]. URL: http://www.bing.com/maps/ (data obrashcheniya:
20.12.2013).
9. Sistemnye trebovaniya dlya GeoFlow [Ofitsial'nyy sayt]. URL: http://www.microsoft.
com/en-us/download/details.aspx?id=38395 (data obrashcheniya: 20.12.2013).
10. Chislennost' ekonomicheski aktivnogo naseleniya FSGS [Ofitsial'nyy sayt]. URL:
http://www.gks.ru/free_doc/new_site/population/trud/trud1.xls (data obrashcheniya: 20.12.2013

Аннотация: the article describes the method of calculation of buffer storage capacity of commutation nodes for computer network that does not require setting the exact values for functions of distribution of incoming messages flow and duration of its processing. The proposed method makes it possible to calculate the required value of the buffer storage capacity using the average value of the intensity and duration of the incoming flow of messages.

Ключевые слова: oftware, computer networks, switching systems, the probability of message loss, buffer storage, information packets, the intensity of flows, packet handling, overflow, rectangular pulses.

Контактная информация: Olzoeva Seseg Ivanovna, 670013, Russia, Republic of Buryatiya, Ulan-Ude, ul. Smolina, d. 25.

Библиография:
1. Superkomp'yuternye tekhnologii v nauke, obrazovanii i promyshlennosti / pod red. akademika
V.A. Sadovnichego, akademika G.I. Savina, chl.-korr. RAN Vl.V. Voevodina. — M.: Izd-vo Moskovskogo
universiteta, 2010. — 208 s.

References (transliteration):
1. Superkomp'yuternye tekhnologii v nauke, obrazovanii i promyshlennosti / pod red. akademika
V.A. Sadovnichego, akademika G.I. Savina, chl.-korr. RAN Vl.V. Voevodina. — M.: Izd-vo Moskovskogo
universiteta, 2010. — 208 s.