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    <title>ЭБ Коллекция: NPCS Vol.26, no.4 (2023), pp. 310-412</title>
    <link>https://elib.bsu.by:443/handle/123456789/325619</link>
    <description>NPCS Vol.26, no.4 (2023), pp. 310-412</description>
    <pubDate>Mon, 20 Apr 2026 06:58:56 GMT</pubDate>
    <dc:date>2026-04-20T06:58:56Z</dc:date>
    <item>
      <title>Human Society under the COVID-19 as a Complex System: A Mean First-Passage Time Methodology</title>
      <link>https://elib.bsu.by:443/handle/123456789/325726</link>
      <description>Заглавие документа: Human Society under the COVID-19 as a Complex System: A Mean First-Passage Time Methodology
Авторы: Mokshin, A. V.; Shadrina, Ya. A.; Sherputovskiy, V. G.
Аннотация: Human society under the COVID-19 pandemic can be viewed as a complex system, the evolution of which is characterized by such the parameters as the number of newly diseased, the number of seriously ill patients, the number of those who were identiﬁed as diseased, etc. To analyze such a complex system, we propose to apply the methodology known in statistical physics as the methodology of the mean ﬁrst-passage times. As will be shown, this methodology makes it possible to determine properly the so-called threshold, at which a spreading viral disease goes into an epidemic regime with accelerated progression. The eﬃciency of the methodology is demonstrated by the example of data analysis on the spread of the COVID-19 in the Russian Federation as well as separately in one of the regions of the Russian Federation. The methodology can serve as an additional useful tool for solving optimization problems.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/325726</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Optimization of Electrical Conductivity of the Anodic DLC Coating of Charged Particle Detector</title>
      <link>https://elib.bsu.by:443/handle/123456789/325725</link>
      <description>Заглавие документа: Optimization of Electrical Conductivity of the Anodic DLC Coating of Charged Particle Detector
Авторы: Zur, I. A.; Fedotov, A. S.; Kharchanka, A. A.; Shmanay, Y. E.; Fedotova, J. A.; Movchan, S. A.
Аннотация: We consider a mathematical model that predicts the electric conductivity of anodic resistive coatings in a charged particle detector and ensures the removal of electron charge in a time shorter than the electron avalanche period. The model is based on the equations for non-stationary electrical current in solids and implemented in COMSOL Multiphysics ﬁnite-element code. The model allowed us to establish a correlation between the duration of the avalanche time τ, the amplitude of the current pulse jmax, and the electrical conductivity σ. The model predicted that for a thick gas elecrton multiplier detector with a standard gain about 104 order and a thickness of coating 100 nm, the conductivity σ should be in the range (2...5)·10 7 S/m in order to ensure that current does not exceed the breakdown value that lies in the range ∼1.5 µA. This allowed us to deﬁne the most appropriate regime of charged particle detector functioning that combines a high rate of operation and resistance to coating erosion in a detector. The obtained results will be useful for the improvement of the time resolution of charged particles detection in well-type detectors.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/325725</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Using Wavelet Analysis to Study Structures and Properties of Structural Materials</title>
      <link>https://elib.bsu.by:443/handle/123456789/325724</link>
      <description>Заглавие документа: Using Wavelet Analysis to Study Structures and Properties of Structural Materials
Авторы: Kheifetz, M. L.; Senyut, V. T.; Kolmakov, A. G.; Zverev, A. A.; Bazrov, B. M.
Аннотация: It is proposed to use wavelet analysis to describe the structures of structural materials. The properties and parameters of wavelet analysis inﬂuencing the description of materials are determined. The application of wavelet analysis for the qualitative and quantitative description of the structures of structural materials is demonstrated, that makes it possible to assess the system characteristics of structures and to characterize the processes of selforganization in them.&#xD;
The formation of friction surface structures for aluminum alloys with SiC and graphite additives in the scuﬃng mode is considered under comparable thermodynamic conditions. Using the example of aluminum alloys with additives, it is shown that the Mexican hat (MHAT) wavelet is more sensitive than the WAVE wavelet. The MHAT transformation is characterized mainly by a clear repetition of the proﬁle with a narrowly pronounced maximum of the main contribution of the proﬁle, while for the WAVE transformation a picture with a smooth maximum and a more smooth signal is obtained.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/325724</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Eﬃcient Content-based Image Retrieval Based on Anchor Point Selection in Manifold Ranking with Combined CNN and Low-Level Features</title>
      <link>https://elib.bsu.by:443/handle/123456789/325723</link>
      <description>Заглавие документа: Eﬃcient Content-based Image Retrieval Based on Anchor Point Selection in Manifold Ranking with Combined CNN and Low-Level Features
Авторы: Quy Hoang Van; Luong Vu Trong; Huy Ngo Hoang; Dzung Pham Thi Kim; Tuyet Dao Van; Ablameyko, S.; Xuan Pham Hong
Аннотация: The paper describes the improvement of Content-Based Image Retrieval (CBIR) system eﬃciency. In CBIR, where each image is typically represented by low-level features (description of color, texture, and shape). It is proposed to solve the following two limitations:&#xD;
(1) not only exploiting the basic similarity measure of images, the paper proposed to use an improved Eﬃcient Manifold Ranking (EMR), where the improved Fuzzy C-Means (FCM) clustering algorithm is used to determine the anchor points of the EMR Graph and (2) EMR has not yet taken advantage of both low- and high-level features of the image, it is the second limitation. To solve this limitation, the cf-EMR method is chosen to combine low-level features and CNN, in which the image is ranked with improved EMR to get the outstanding advantages of both features types, thereby improving the quality of access. So that the accuracy of image retrieval systems to be improved. The average accuracy of more than 85% of the tests, performed on the three image datasets Logo2K+, VGGFACE2-S and Corel30K, indicates the high eﬃciency of our recommendations in improving the performance of the CBIR system.</description>
      <pubDate>Sun, 01 Jan 2023 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">https://elib.bsu.by:443/handle/123456789/325723</guid>
      <dc:date>2023-01-01T00:00:00Z</dc:date>
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