Труды сотрудников ИВМ СО РАН

/ V. I. Zakomirnyi [et al.] // Appl Phys Lett. - 2017. - Vol. 111, Is. 12, DOI 10.1063/1.5000726 . - ISSN 0003-6951
Аннотация: Regular arrays of plasmonic nanoparticles have brought significant attention over the last decade due to their ability to support localized surface plasmons (LSPs) and exhibit diffractive grating behavior simultaneously. For a specific set of parameters (i.e., period, particle shape, size, and material), it is possible to generate super-narrow surface lattice resonances (SLRs) that are caused by interference of the LSP and the grating Rayleigh anomaly. In this letter, we propose plasmonic structures based on regular 2D arrays of TiN nanodisks to generate high-Q SLRs in an important telecommunication range, which is quite difficult to achieve with conventional plasmonic materials. The position of the SLR peak can be tailored within the whole telecommunication bandwidth (from ? 1.26 ?m to ? 1.62 ?m) by varying the lattice period, while the Q-factor is controlled by changing nanodisk sizes. We show that the Q-factor of SLRs can reach a value of 2 ? 103, which is the highest reported Q-factor for SLRs at telecommunication wavelengths so far. Tunability of optical properties, refractory behavior, and low-cost fabrication of TiN nanoparticles paves the way for manufacturing cheap nanostructures with extremely stable and adjustable electromagnetic response at telecommunication wavelengths for a large number of applications. © 2017 Author(s).

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Держатели документа:
Institute of Nanotechnology, Spectroscopy and Quantum Chemistry, Siberian Federal University, Krasnoyarsk, Russian Federation
Division of Theoretical Chemistry and Biology, School of Biotechnology, KTH Royal Institute of Technology, Stockholm, Sweden
Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
Institute of Computational Modeling, Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation
Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation
L. V. Kirensky Institute of Physics, Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Zakomirnyi, V. I.; Rasskazov, I. L.; Gerasimov, V. S.; Ershov, A. E.; Polyutov, S. P.; Karpov, S. V.

/ A. V. Lapko, V. A. Lapko // Meas. Tech. - 2017. - Vol. 60, Is. 6. - P515-522, DOI 10.1007/s11018-017-1228-x. - Cited References:15 . - ISSN 0543-1972. - ISSN 1573-8906РУБ Engineering, Multidisciplinary + Instruments & Instrumentation

Аннотация: The results of a comparison of the most common optimization methods for the nonparametric estimation of the probability density of Rosenblatt-Parzen are presented. To select the optimal values of the blur coefficients of kernel functions, minimum conditions for the standard deviation of the nonparametric estimate of the probability density and the maximum of the likelihood function are used.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.

/ V. I. Zakomirnyi [et al.] // Photonics Nanostruc. Fundam. Appl. - 2018. - Vol. 30. - P50-56, DOI 10.1016/j.photonics.2018.04.005 . - ISSN 1569-4410
Аннотация: We propose to utilize titanium nitride (TiN) as an alternative material for linear periodic chains (LPCs) of nanoparticles (NPs) which support surface plasmon polariton (SPP) propagation. Dispersion and transmission properties of LPCs have been examined within the framework of the dipole approximation for NPs with various shapes: spheres, prolate and oblate spheroids. It is shown that LPCs of TiN NPs support high-Q eigenmodes for an SPP attenuation that is comparable with LPCs from conventional plasmonic materials such as Au or Ag, with the advantage that the refractory properties and cheap fabrication of TiN nanostructures are more preferable in practical implementations compared to Au and Ag. We show that the SPP decay in TiN LPCs remains almost the same even at extremely high temperatures which is impossible to reach with conventional plasmonic materials. Finally, we show that the bandwidth of TiN LPCs from non-spherical particles can be tuned from the visible to the telecommunication wavelength range by switching the SPP polarization, which is an attractive feature for integrating these structures into modern photonic devices. © 2018 Elsevier B.V.

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Держатели документа:
Institute of Nanotechnology, Spectroscopy and Quantum Chemistry, Siberian Federal University, Krasnoyarsk, Russian Federation
School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, Stockholm, Sweden
The Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, United States
Institute of Computational Modeling, Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation
Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation
Kirensky Institute of Physics, Federal Research Center KSC SB RAS, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Zakomirnyi, V. I.; Rasskazov, I. L.; Gerasimov, V. S.; Ershov, A. E.; Polyutov, S. P.; Karpov, S. V.; Agren, H.

[Текст] : статья / А. В. Лапко, В. А. Лапко // Измерительная техника. - 2018. - № 6. - С. 16-20 . - ISSN 0368-1025

УДК

519.24

Аннотация: Предложен быстрый алгоритм выбора коэффициентов размытости ядерных функций непараметрической оценки плотности вероятности, исследованы его свойства. Рассмотрена методика интервальной оценки среднего квадратического отклонения рассматриваемой непараметрической статистики
Proposed fast algorithm bandwidth selection for kernel function in nonparametric probability density estimate. The dependences of its properties and consider the method of interval estimation of the root-mean-square deviation of the nonparametric statistics.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский государственный университет науки и технологий им. акад. М. Ф. Решетнева

Доп.точки доступа:
Лапко, А.В.; Лапко, В.А.

/ A. V. Lapko, V. A. Lapko // Optoelectron. Instrum. Data Proces. - 2018. - Vol. 54, Is. 5. - P451-456, DOI 10.3103/S8756699018050047 . - ISSN 8756-6990
Аннотация: Modifications of a nonparametric pattern recognition algorithm corresponding to the maximum likelihood criterion with additional decision functions are considered. The synthesis of the proposed algorithms is based on the analysis of the ratios of the estimates of the probability density distributions of random variables in classes and their functionals with input thresholds. The choice of the thresholds is determined by specific features of the classification problem. The results obtained are applied for assessing the states of forest tracts on the basis of remote sensing data. © 2018, Allerton Press, Inc.

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Держатели документа:
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Academgorodok-50, 44, Krasnoyarsk, 660036, Russian Federation
Reshetnev Siberian State University of Science and Technology, pr. Krasnoyarskii rabochii 31, Krasnoyarsk, 660037, Russian Federation

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.

/ A. V. Lapko, V. A. Lapko // Meas. Tech. - 2018. - Vol. 61, Is. 6. - P540-545, DOI 10.1007/s11018-018-1463-9. - Cited References:16. - This study was supported by the Russian Foundation for Basic Research (Grant No. 18-01-00251). . - ISSN 0543-1972. - ISSN 1573-8906РУБ Engineering, Multidisciplinary + Instruments & Instrumentation

Аннотация: A fast algorithm for choosing the blurring coefficients of kernel functions for a nonparametric probability density estimate is proposed, and its properties are investigated. The technique of interval estimation of the standard deviation of the nonparametric statistics under consideration is considered.

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Держатели документа:
Russian Acad Sci, Inst Computat Modeling, Siberian Branch, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Russian Foundation for Basic Research [18-01-00251]

[Текст] : статья / А. В. Лапко, В. А. Лапко // Автометрия. - 2018. - Т. 54, № 5. - С. 33-39, DOI 10.15372/AUT20180504 . - ISSN 0320-7102
   Перевод заглавия: NONPARAMETRIC ALGORITHMS FOR ESTIMATING THE STATES OF NATURAL OBJECTS

УДК

004.93

Аннотация: Рассматриваются модификации непараметрического алгоритма распознавания образов, соответствующего критерию максимального правдоподобия с дополнительными решающими функциями. Синтез предлагаемых алгоритмов основан на анализе отношений оценок плотностей вероятности распределения случайных величин в классах и их функционалов с вводимыми порогами. Выбор порогов определяется особенностями задачи классификации. Полученные результаты применяются при оценивании состояний древостоев лесных массивов по данным дистанционного зондирования.
Modifications of a nonparametric pattern recognition algorithm corresponding to the maximum likelihood criterion with additional decision functions are considered. The synthesis of the proposed algorithms is based on the analysis of the ratios of the estimates of the probability density distributions of random variables in classes and their functionals with input thresholds. The choice of the thresholds is determined by specific features of the classification problem. The results obtained are applied for assessing the states of forest tracts on the basis of remote sensing data.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Сибирский государственный университет науки и технологий им. академика М. Ф. Решетнева

Доп.точки доступа:
Лапко, Александр Васильевич; Lapko A.V.; Лапко, Василий Александрович; Lapko V.A.

[Text] : статья / A. V. Lapko, V. A. Lapko // Измерительная техника. - 2018. - № 10. - P19-23, DOI 10.32446/0368-1025it.2018-10-19-23 . - ISSN 0368-1025
   Перевод заглавия: Быстрый алгоритм выбора коэффициентов размытости в многомерных ядерных оценках плотности вероятности

УДК

519.24

Аннотация: Proposed fast technique bandwidth selection for kernel function in multivariate nonparametric density estimation of the Rosenblatt-Parzen type. The method is based on the results of an analysis of the asymptotic properties of the multivariate density estimate. The properties of a fast algorithm bandwidth selection for multivariate kernel density estimation are investigated.
Предложена методика быстрого выбора коэффициентов размытости ядерных функций в непараметрической оценке многомерной плотности вероятности типа Розенблатта-Парзена. Методика основана на результатах анализа асимптотических свойств многомерной оценки плотности вероятности. Исследованы свойства быстрого алгоритма выбора коэффициентов размытости ядерной оценки плотности вероятности.

РИНЦ

Держатели документа:
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences (ICM SB RAS)
Reshetnev Siberian State University of Science and Technology

Доп.точки доступа:
Lapko, A.V.; Лапко А.В.; Lapko, V.A.; Лапко В.А.

[Text] : статья / A. V. Lapko, V. A. Lapko // Измерительная техника. - 2018. - № 10. - P19-23, DOI 10.32446/0368-1025it.2018-10-19-23 . - ISSN 0368-1025
   Перевод заглавия: Быстрый алгоритм выбора коэффициентов размытости в многомерных ядерных оценках плотности вероятности

УДК

519.24

Аннотация: Proposed fast technique bandwidth selection for kernel function in multivariate nonparametric density estimation of the Rosenblatt-Parzen type. The method is based on the results of an analysis of the asymptotic properties of the multivariate density estimate. The properties of a fast algorithm bandwidth selection for multivariate kernel density estimation are investigated.
Предложена методика быстрого выбора коэффициентов размытости ядерных функций в непараметрической оценке многомерной плотности вероятности типа Розенблатта-Парзена. Методика основана на результатах анализа асимптотических свойств многомерной оценки плотности вероятности. Исследованы свойства быстрого алгоритма выбора коэффициентов размытости ядерной оценки плотности вероятности.

РИНЦ

Держатели документа:
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences (ICM SB RAS)
Reshetnev Siberian State University of Science and Technology

Доп.точки доступа:
Lapko, A.V.; Лапко А.В.; Lapko, V.A.; Лапко В.А.

[Text] : статья / A. V. Lapko, V. A. Lapko // Измерительная техника. - 2018. - № 10. - P19-23, DOI 10.32446/0368-1025it.2018-10-19-23 . - ISSN 0368-1025
   Перевод заглавия: Быстрый алгоритм выбора коэффициентов размытости в многомерных ядерных оценках плотности вероятности

УДК

519.24

Аннотация: Proposed fast technique bandwidth selection for kernel function in multivariate nonparametric density estimation of the Rosenblatt-Parzen type. The method is based on the results of an analysis of the asymptotic properties of the multivariate density estimate. The properties of a fast algorithm bandwidth selection for multivariate kernel density estimation are investigated.
Предложена методика быстрого выбора коэффициентов размытости ядерных функций в непараметрической оценке многомерной плотности вероятности типа Розенблатта-Парзена. Методика основана на результатах анализа асимптотических свойств многомерной оценки плотности вероятности. Исследованы свойства быстрого алгоритма выбора коэффициентов размытости ядерной оценки плотности вероятности.

РИНЦ

Держатели документа:
Institute of Computational Modeling, Siberian Branch of the Russian Academy of Sciences (ICM SB RAS)
Reshetnev Siberian State University of Science and Technology

Доп.точки доступа:
Lapko, A.V.; Лапко А.В.; Lapko, V.A.; Лапко В.А.

[Текст] : статья / А. Д. Утюшев [и др.] // Решетневские чтения. - 2018. - Т. 1, № 22. - С. 549-551 . - ISSN 1990-7702
   Перевод заглавия: SUPER-NARROW SELECTIVE PLASMONICIC FILTERS FOR TELECOMMUNICATION WAVELENGTH RANGE

УДК	535.8; 544.77.03

Аннотация: Показано, что двумерные периодические структуры (ПС) из наночастиц нитрида титана (TiN) могут служить в качестве управляющих оптических элементов в системах глобальной космической коммуникации с полосой пропускания менее 1 нм.
We have shown that two-dimensional periodic structures (PS) from titanium nitride (TiN) nanoparticles can serve as control optical elements in global space communication systems with a bandwidth of less than 1 nm.

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Держатели документа:
Институт вычислительного моделирования СО РАН
Институт оптики, Рочестерский университет
Институт физики имени Л. В. Киренского СО РАН
Сибирский государственный университет науки и технологий имени академика М. Ф. Решетнева
Сибирский федеральный университет

Доп.точки доступа:
Утюшев, А.Д.; Utyushev A.D.; Ершов, А.Е.; Ershov A.E.; Герасимов, В.С.; Gerasimov V.S.; Рассказов, И.Л.; Rasskazov I.L.; Карпов, С.В.; Karpov S.V.

/ A. V. Lapko, V. A. Lapko // Meas. Tech. - 2019. - Vol. 61, Is. 10. - P979-986, DOI 10.1007/s11018-019-01536-x. - Cited References:17. - This work was supported by the Russian Foundation for Basic Research (Grant No. 18-01-00251). . - ISSN 0543-1972. - ISSN 1573-8906РУБ Engineering, Multidisciplinary + Instruments & Instrumentation

Аннотация: A method is proposed for quickly choosing the blur coefficients of kernel functions in a non-parametric estimate of a multidimensional probability density of Rosenblatt-Parzen type. The technique is based on the analysis of the asymptotic properties of a multidimensional probability density estimate. The properties of the fast algorithm for choosing the blur coefficients of a kernel probability density estimate are investigated.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.; Russian Foundation for Basic Research [18-01-00251]

/ A. V. Lapko, V. A. Lapko, E. A. Yuronen // 2018 INTERNATIONAL SCIENTIFIC MULTI-CONFERENCE ON INDUSTRIAL ENGINEERING : IEEE, 2018. - International Scientific Multi-Conference on Industrial Engineering and (OCT 02-04, 2018, Vladivostok, RUSSIA). - Cited References:31 . - ISBN 978-1-5386-9535-7РУБ Engineering, Industrial

Аннотация: The new nonparametric probability density estimation based on use of the smoothing operator is offered and investigated. It has smaller dispersion in comparison with probability density estimation like Rosenblatt-Parzen.

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Держатели документа:
Reshetnev Siberian State Univ Sci & Technol, Inst Comp Modelling SB RAS, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Siberian Fed Univ, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, Aleksandr V.; Lapko, Vasiliy A.; Yuronen, Ekaterina A.

/ A. V. Lapko, V. A. Lapko // Comput. Opt. - 2019. - Vol. 43, Is. 2. - С. 238-244, DOI 10.18287/2412-6179-2019-43-2-238-244. - Cited References:21 . - ISSN 0134-2452. - ISSN 2412-6179РУБ Optics

Аннотация: The paper deals with a new method of testing hypotheses for the distribution of multidimensional remote sensing spectral data. The proposed technique is based on the use of nonparametric algorithms for pattern recognition. Testing the hypothesis of the identity of two laws of distributions of multidimensional random variables is replaced by testing a hypothesis stating that the pattern recognition error equals 0.5. The application of this technique allows doing without the decomposition of the random variable domain into multidimensional intervals, which is typical for the Pearson criterion. Its effectiveness is confirmed by the results of testing the hypotheses of the distribution of spectral data of remote sensing in forestry. The analysis of the distribution laws for the following types of forestry is carried out: dark coniferous forest, damaged and dry forest stands. The initial information was obtained from the southern Siberia remote sensing data using six spectral channels of Landsat. The results of the research form a basis for a set of significant spectral features when dealing with forest condition monitoring.

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Держатели документа:
Russian Acad Sci, Siberian Branch, Inst Computat Modeling, Krasnoyarsk, Russia.
Reshetnev Siberian State Univ Sci & Technol, Space Facil & Technol Dept, Krasnoyarsk, Russia.

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.

/ A. V. Lapko, V. A. Lapko // Optoelectron. Instrum. Data Proces. - 2019. - Vol. 55, Is. 6. - P597-605, DOI 10.3103/S8756699019060104 . - ISSN 8756-6990
Аннотация: A method of fast bandwidth selection in a nonparametric algorithm of pattern recognition corresponding to the maximum a posteriori probability criterion is proposed. The algorithm is based on the results of studying the asymptotic properties of the nonparametric estimate of the separation surface equation and probability densities in solving a two-alternative problem of pattern recognition. The proposed method is compared with the traditional approach based on minimizing the classification error probability estimate. © 2019, Allerton Press, Inc.

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Держатели документа:
Institute of Computational Modeling, Siberian Branch, Russian Academy of Sciences, Akademgorodok 50, building 44, Krasnoyarsk, 660036, Russian Federation
Reshetnev Siberian University of Science and Technology, pr. im. gazety “Krasnoyarskii rabochii” 31, Krasnoyarsk, 660037, Russian Federation

Доп.точки доступа:
Lapko, A. V.; Lapko, V. A.