Библиотека института физики им. Л.В. Киренского СО РАН

Главная

Базы данных

Труды сотрудников ИФ СО РАН - результаты поиска

Вид поиска

Каталог книг и брошюр библиотеки ИФ СО РАН

Каталог журналов библиотеки ИФ СО РАН

Труды сотрудников ИФ СО РАН

Область поиска

в найденном

Формат представления найденных документов:
полный	информационный	краткий

Отсортировать найденные документы по:
автору	заглавию	году издания	типу документа

Поисковый запрос: (<.>K=forest<.>)

Общее количество найденных документов : 17
Показаны документы с 1 по 10

1-10 11-17

    Infrared bound states in the continuum: random forest method / M. S. Molokeev, A. S. Kostyukov, A. E. Ershov [et al.] // Opt. Lett. - 2023. - Vol. 48, Is. 17. - P. 4460-4463, DOI 10.1364/OL.494629. - Cited References: 42. - Ministry of Science and Higher Education of the Russian Federation (FSRZ-2023-0006) . - ISSN 0146-9592. - ISSN 1539-4794
   Перевод заглавия: Инфракрасные связанные состояния в континууме: метод случайного леса
Кл.слова (ненормированные):
Field enhancement -- Infrared radiation -- Neural networks -- Refractive index -- Second harmonic generation -- Subwavelength gratings
Аннотация: In this Letter, we consider optical bound states in the continuum (BICs) in the infrared range supported by an all-dielectric metasurface in the form of subwavelength dielectric grating. We apply the random forest machine learning method to predict the frequency of the BICs as dependent on the optical and geometric parameters of the metasurface. It is found that the machine learning approach outperforms the standard least square method at the size of the dataset of ≈4000 specimens. It is shown that the random forest approach can be applied for predicting the subband in the infrared spectrum into which the BIC falls. The important feature parameters that affect the BIC wavelength are identified.

Смотреть статью,
Читать в сети ИФ
Держатели документа:
IRC SQC, Siberian Federal University, Krasnoyarsk, 660041, Russia
Kirensky Institute of Physics, Federal Research Center KSC SB RAS, Krasnoyarsk, 660036, Russia
Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, Tyumen, 625003, Russia
Institute of Computational Modelling SB RAS, Krasnoyarsk, 660036, Russia

Доп.точки доступа:
Molokeev, M. S.; Молокеев, Максим Сергеевич; Kostyukov, A. S.; Ershov, A. E.; Maksimov, D. N.; Максимов, Дмитрий Николаевич; Gerasimov, V. S.; Polyutov, S. P.
}
Найти похожие

Interaction of satellite navigation signals with forest and snow-ice layers / M. Y. Reushev, V. G. Podoprigora, D. S. Makarov [et al.] // Russ. Phys. J. - 2023. - Vol. 66, Is. 6. - P. 706-711, DOI 10.1007/s11182-023-02996-z. - Cited References: 8 . - ISSN 1064-8887. - ISSN 1573-9228
Кл.слова (ненормированные):
global navigation satellite system reflectometry -- navigation signal -- interference -- multipath echoes -- surface layers
Аннотация: The paper studies parameters of the snow-ice cover and forest ground determined by the integrated approach based on the global navigation satellite system reflectometry. Experimental data on the amplitude and time response of satellite navigation signals are processed by fast Fourier transform and then analyzed using mathematical methods based on the multipath echoes model in terms of geometrical optics. Using a combination of reflectometry and numerical simulation of the surface layers based on local weather data, it is possible to evaluate not only the current state of these layers, but also predict their dynamic development.

Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Держатели документа:
Krasnoyarsk Research Center of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Siberian Federal University, Krasnoyarsk, Russian Federation
Kirensky Institute of Physics of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Institute of Computational Modeling of the Siberian Branch of the Russian Academy of Sciences, Krasnoyarsk, Russian Federation
Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation

Доп.точки доступа:
Reushev, M. Y.; Podoprigora, V. G.; Подопригора, Владимир Георгиевич; Makarov, D. S.; Kharlamov, D. V.; Vasiliev, E. V.
}
Найти похожие

Karavaisky, A. Yu.
Dielectric model of the upper organic layer of forest soils for a frequency of 435 MHz / A. Yu. Karavaisky, Y. I. Lukin // Izv. Atmos. Ocean. Phys. - 2023. - Vol. 59, Is. 9. - P. 1208-1219, DOI 10.1134/S0001433823090104. - Cited References: 57. - We are grateful to Cand. Sci. (Phys.–Math.) K.V. Muzalevskii, Head of the Laboratory of Remote Sensing Radiophysics, for supporting this work, as well as to I.V. Savin for selecting the studied soil samples. - The study was performed within the framework of the state assignment of the Ministry of Science and Higher Education of Russia, project no. 0287-2021-0034 . - ISSN 0001-4338. - ISSN 1555-628X
Кл.слова (ненормированные):
dielectric model -- moisture -- temperature -- organic soil -- frozen soil -- thawed soil
Аннотация: A dielectric model based on the refractive dielectric model of the mixture of thawed and frozen forest organic soils in the root zone for a frequency of 435 MHz has been developed. The model is created on the basis of dielectric measurements of four soils whose organic matter content varies in the range from 15 to 31%. The dielectric measurements are carried out in the range of the gravimetric moisture from 0 to 0.6 g/g and temperature range from –30 to 25°C. The coefficient of determination (R2) between values calculated by themodel and measured values of the real (ε') and imaginary (ε'') parts of complex dielectric permittivity is 0.97. The normalized root-mean-square error is 16 and 21% for the real and imaginary parts of the complex dielectric permittivity, respectively. This dielectric model may be applied in remote sensing algorithms when retrieving the value of forest soil moisture in the root zone from radar and radiometric data.

Смотреть статью

Публикация на русском языке Каравайский, Андрей Юрьевич. Диэлектрическая модель верхнего органического слоя лесных почв для частоты 435 МГц [Текст] / А. Ю. Каравайский, Ю. И. Лукин. - 16 с. // Исслед. Земли из космоса. - 2023. - № 3. - С. 81-96

Держатели документа:
Kirensky Institute of Physics, Siberian Branch, Russian Academy of Sciences, Krasnoyarsk, 660036 Russia

Доп.точки доступа:
Lukin, Y. I.; Лукин, Юрий Иванович; Каравайский, Андрей Юрьевич
}
Найти похожие

    Machine learning analysis and discovery of zero-dimensional ns2 metal halides toward enhanced photoluminescence quantum yield / M. S. Molokeev, B. B. Su, A. S. Aleksandrovsky [et al.] // Chem. Mat. - 2022. - Vol. 34, Is. 2. - P. 537-546, DOI 10.1021/acs.chemmater.1c02725. - Cited References: 66. - This work is supported by the National Natural Science Foundation of China (51961145101 and 51972118), International Cooperation Project of National Key Research and Development Program of China (2021YFE0105700), Guangzhou Science and Technology Project (202007020005), and the Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program (2017BT01X137). This work is also funded by RFBR according to the research project no. 19-52-80003 . - ISSN 0897-4756. - ISSN 1520-5002
   Перевод заглавия: Машинное обучение и открытие нульмерных ns2 металлогалогенидов для увеличения квантового выхода фотолюминесценции

РУБ Chemistry, Physical + Materials Science, Multidisciplinary
Рубрики:
RANDOM FOREST
   CRYSTAL-STRUCTURE
   TIN BROMIDE
   CLASSIFICATION
Аннотация: The dependence of photoluminescence quantum yield (PLQY) on the crystal structure of existing zero-dimensional ns2 metal halides is analyzed with the help of principal component analysis and random forest methods. The primary role of the distance between metal ions in different compounds is revealed, and the influence of other structural features such as metal-halogen distance and the distortion of metal-halogen polyhedrons are quantified. Accordingly, the two previously unknown Sb3+-based zero-dimensional metal halides were synthesized to verify the obtained model. Experimental studies of the two compounds demonstrated good agreement with the predictions, and the PLQY of (C10H16N)2SbCl5 is found to be 96.5%. Via machine learning analysis, we demonstrate that concentration quenching is the main factor that determines PLQY for all s2 ion metal halides, which will accelerate the discovery of new luminescence metal halides.

Смотреть статью,
Scopus,
WOS,
Читать в сети ИФ
Держатели документа:
South China Univ Technol, State Key Lab Luminescent Mat & Devices, Guangdong Prov Key Lab Fiber Laser Mat & Appl Tec, Sch Mat Sci & Engn, Guangzhou 510641, Peoples R China.
RAS, KSC, SB, Lab Coherent Opt,Kirensky Inst Phys,Fed Res Ctr, Krasnoyarsk 660036, Russia.
Siberian Fed Univ, Krasnoyarsk 660041, Russia.
Kemerovo State Univ, Dept Res & Dev, Kemerovo 650000, Russia.

Доп.точки доступа:
Molokeev, M. S.; Молокеев, Максим Сергеевич; Su, Binbin; Aleksandrovsky, A. S.; Александровский, Александр Сергеевич; Golovnev, Nicolay N.; Plyaskin, M. E.; Пляскин, Михаил Е.; Xia, Zhiguo
}
Найти похожие

    Machine learning methods in assessing the effect of mixture composition on the physical and mechanical characteristics of road concrete / I. G. Endzhievskaya, A. S. Endzhievskiy, M. A. Galkin, M. S. Molokeev // J. Build. Eng. - 2023. - Vol. 76. - Ст. 107248, DOI 10.1016/j.jobe.2023.107248. - Cited References: 17. - The work was carried out within the framework of the Strategic Academic Leadership Program "Priority-2030" for the Siberian Federal University. The research in field of Machine Learning application was supported by the Tyumen Oblast Government, as part of the West-Siberian Interregional Science and Education Center’s project No. 89-DON (3) . - ISSN 2352-7102
   Перевод заглавия: Методы машинного обучения в оценке влияния состава смеси на физико-механические характеристики дорожного бетона
Кл.слова (ненормированные):
Concrete optimization -- Random forest -- Decision tree -- Machine learning -- Сement concrete roads
Аннотация: Current manuscript presents a study on the use of 48 experimental data points containing parameters of concrete production technological process and its properties, such as strength, density, and bending strength. It was revealed that temporal characteristics, specifically - compressive strength at the age of 3, 7, 28 days, R3, R7, and R28, are significantly correlated with each other, indicating that only one characteristic, such as R28 or Rfl 28, is sufficient for prediction. The absence of multiple correlations between parameters and properties suggests that linear regression analysis may not be accurate. Therefore, the use of Machine Learning is optimal; specifically Random Forest method is preferable due to ease of use and minimum hyperparameters for tuning. Low prediction errors (?1–11%) for 30% of the test data, as determined by the cross-validation method, confirm a relationship between the experimental parameters and the concrete properties. The most important parameters for achieving high values of compressive and bending strengths, R28 and Rfl 28, were identified, namely: air-entraining additives, granite crushed stone consisting of a mixture of fractions 5–20 mm, crushed stone derived from gravel of high strength grains of large fractions 10–20 mm. To obtain explanatory model, another Machine Learning method, that was used, called Decision Tree. The model showed that a high amount of crushed stone 10–20 mm from gravel, more than 212 (kg per 1 m3 of concrete mix), leads to a higher number of strong grains with smooth, rounded surface, thereby, reducing the bending strength of concrete. However, a large concentration of crushed stone mix fractions of 5–20 mm from granite, more than 537 (kg per 1 m3 of concrete mix), leads to the maximum roughness, which makes a significant contribution to the increased strength of concrete due to the adhesion of the matrix and aggregates to each other.

Смотреть статью,
WOS,
Читать в сети ИФ
Держатели документа:
Siberian Federal University, Svobodny Ave., 79, Krasnoyarsk, 660041, Russia
Laboratory of Theory and Optimization of Chemical and Technological Processes, University of Tyumen, Tyumen, 625003, Russia
Laboratory of Crystal Physics, Kirensky Institute of Physics SB RAS, Krasnoyarsk, 660036, Russia

Доп.точки доступа:
Endzhievskaya, I. G.; Endzhievskiy, A. S.; Galkin, M. A.; Molokeev, M. S.; Молокеев, Максим Сергеевич
}
Найти похожие

Microwave Dielectric Spectroscopy of Moist Soils for a Forest-tundra Region / V. L. Mironov, P. P. Bobrov, A. P. Bobrov [et al.] // IEEE International Geoscience and Remote Sensing Symposium (IGRASS) : Proceedings. - Seoul, 2005. - Vol. 6. - Ст. 1525917. - P. 4485-4488, DOI 10.1109/igarss.2005.1525917. - Библиогр.: 8 . - ISBN 978-078039050-8
Аннотация: In this paper, the measured microwave dielectric data are presented for some soils collected in the forest-tundra area located at 64° N and 100° E, which is near the city of Tura in East Siberia. The measurements were developed in the range from 0.3 to 12.5 GHz at the temperature of 24°C. The Debye spectroscopic parameters related to the bound soil water (BSW) and free soil water (FSW) were derived with the use of the generalized refractive mixing dielectric model (GRMDM) [1], [2]. The foresttundra soils analyzed were found to contain the smaller percentage of bound water, with its complex dielectric constant (CDC) being less than that of the soils in the agricultural zones of Siberia [3]-[5], in spite of the fact that the forest-tundra soils demonstrated smaller clay and humus percentage as compared to the agricultural soils. The results obtained can be considered as a substantial contribution to the soil dielectric data base for the northern circumpolar region, which is a compulsory element of physically based both the remote sensing models and retrieving algorithms.

Scopus,
Читать в сети ИФ

Доп.точки доступа:
Mironov, V. L.; Миронов, Валерий Леонидович; Bobrov, P. P.; Bobrov, A. P.; Mandrygina, V. N.; Stasuk, V. D.; IEEE International Geoscience and Remote Sensing Symposium(25 ; 2005 ; July ; 25-29 ; Seoul, South Korea)
}
Найти похожие

Orientational ordering of tree elements in the dielectric permittivity model of a forest stand / A. V. Sorokin, V. G. Podoprigora, D. S. Makarov [et al.] // Russ. Phys. J. - 2020. - Vol. 63, Is. 2. - P. 238-243, DOI 10.1007/s11182-020-02026-2. - Cited References: 8 . - ISSN 1064-8887. - ISSN 1573-9228

РУБ Physics, Multidisciplinary

Кл.слова (ненормированные):
dielectric permittivity -- orientational ordering tensor -- anisotropy -- signals of navigation satellites
Аннотация: The dielectric characteristics of trees are studied for a dielectric permittivity model of a forest stand of L1 band signals of navigation satellites. The contribution of the orientational ordering of tree elements and of the wood anisotropy to the effective wood dielectric permittivity epsilon has been estimated. The crown layer has the height-depend anisotropy increment epsilon and the orientational ordering of branch tensor elements. The anisotropy gradients in the layer of trunks are determined by the height-dependent wood volume of a single tree and the tree height distribution in a large forest.

Смотреть статью,
Scopus,
WOS

Публикация на русском языке Ориентационная упорядоченность элементов дерева в модели диэлектрической проницаемости древостоя [Текст] / А. В. Сорокин, В. Г. Подопригора, Д. С. Макаров [и др.] // Изв. вузов. Физика. - 2020. - Т. 63 № 2. - С. 50-54

Держатели документа:
Russian Acad Sci, Siberian Branch, Fed Res Ctr, Krasnoyarsk Sci Ctr, Krasnoyarsk, Russia.
MF Reshetnev Siberian State Univ Sci & Technol, Krasnoyarsk, Russia.

Доп.точки доступа:
Sorokin, A. V.; Сорокин, Анатолий Васильевич; Podoprigora, V. G.; Подопригора, Владимир Георгиевич; Makarov, D. S.; Kharlamov, D. V.; Baltice, V. V.
}
Найти похожие

Podoprigora, V. G.
Forest vegetation interaction with L-band satellite signals / V. G. Podoprigora, A. V. Sorokin // E3S Web of Conferences. - 2019. - Vol. 75. - Ст. 01007, DOI 10.1051/e3sconf/20197501007. - Cited References: 9 . - ISBN 2267-1242
Аннотация: A method for calculating the electro-physical parameters of forest vegetation cover interacting with the signals of navigation satellites in the frequency bands 1.2-1.6 GHz is proposed. A technique for the experimental measurement of linear attenuation coefficient of satellite signals on test areas of canopies was developed, taking into account their calibration at the input. The proposed forest vegetation model describes the group of crowns as a system of quasi spherical "capsules", located chaotically in the air matrix. The scattering and penetration cross sections and the coefficient of linear attenuation of radio waves were calculated using the approximation of anomalous diffraction for crowns and the results of solving the diffraction problem for trunks. The effects of multiple scattering were taken into account.

РИНЦ,
Смотреть статью,
WoS,
Читать в сети ИФ
Держатели документа:
Federal Research Center KSC SB RAS
Siberian Federal University
Reshetnev Siberian State Univ Sci & Technol,

Доп.точки доступа:
Sorokin, A. V.; Сорокин, Анатолий Васильевич; Подопригора, Владимир Георгиевич; Региональные проблемы дистанционного зондирования Земли, международная конференция(5 ; 2018 ; сент. ; 11-14 ; Красноярск); Conference on regional problems of earth remote sensing(2018 ; Sept. ; 11-14 ; Krasnoyarsk); Сибирский федеральный университет
}
Найти похожие

Results of the SMOS Data Validation over a Steppe and Forest Area in Siberia [Text] / P. P. Bobrov, O. V. Kondratieva, V. L. Mironov [et al.] // Proc. PIER. - 2011. - P55-58

Доп.точки доступа:
Bobrov, P.P.; Kondratieva, O.V.; Mironov, V.L.; Shvetsov, E.; Sukhinin, A.I.; Yashchenko, A.S.; Progress In Electromagnetics Research Symposium(2011 ; Sept. 12-16 ; Suzhou, China)
}
Найти похожие

10.

Sorokin, A. V.
Forest dielectric characteristics for navigation satellites signals in L1 range / A. V. Sorokin, V. G. Podoprigora, E. Ponomarev // E3S Web of Conferences. - 2019. - Vol. 75. - Ст. 01011, DOI 10.1051/e3sconf/20197501011. - Cited References: 9 . - ISBN 2267-1242
Аннотация: A structural dielectric model of the forest is presented taking into account the wood Biomass distribution. The multi-scale structural formations of the individual trees and the stand as a whole as a hierarchical system of non-interacting components of the mixed dielectric are discussed. Layers of crowns and trunks are distinguished as anisotropic dielectric media with gradient boundaries. The possibility of using the orientation parameter of the order of branches in the crown layer to estimate the gradients of the effective permittivity of the inhomogeneous distribution and its spatial anisotropy is analyzed. A comparative analysis of the features of the effective dielectric permittivity of pine and birch forests is carried out. The possibilities of using a layered anisotropic dielectric forest model to describe the transformation of GPS and GLONASS signals in order to restore the biometric characteristics of the forest are considered.

РИНЦ,
Смотреть статью,
WoS,
Читать в сети ИФ
Держатели документа:
Federal Research Center KSC SB RAS
Siberian Federal University
Reshetnev Siberian State Univ Sci & Technol,

Доп.точки доступа:
Podoprigora, V. G.; Подопригора, Владимир Георгиевич; Ponomarev, E. I.; Сорокин, Анатолий Васильевич; Региональные проблемы дистанционного зондирования Земли, международная конференция(5 ; 2018 ; сент. ; 11-14 ; Красноярск); Conference on regional problems of earth remote sensing(2018 ; Sept. ; 11-14 ; Krasnoyarsk); Сибирский федеральный университет
}
Найти похожие