75 research outputs found

    Surface acoustic waves

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    The book describes surface acoustic waves in solids, one of the most interesting and important types of wave motion. Classification of the main currently known types of surface acoustic waves is given. Their physical properties, including the specifics of propagation, scattering, and interaction with electrons, are discussed. Much of attention is paid to surface waves in piezoelectric crystals, which play a particularly important role with regard to a variety of applications in signal processing devices. There are numerous examples illustrating various manifestations of surface acoustic waves in science and engineering

    Introduction to physical acoustics

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    The book gives a concise account of physical acoustics – a branch of physics studying the interaction of acoustic waves with matter at the macro and microscopic levels. It starts with the basics of mechanics of continuum needed to analyse the problems of physical acoustics. This is followed by the description of linear and nonlinear problems of acoustics of gases, liquids and solids. Also considered are the problems of β€˜turbulence and sound’, acoustics of magnetic media, and acoustics of crystals. Important information is provided also on acousto-electronics and acousto-optics. Some parts of the book are illustrated by description of the methodology of experiments and experimental data. The book would be of interest to undergraduate students of physical, chemical and engineering specialities, postgraduate students, researchers, lecturers, acoustic engineers, and all those engaged in fluid mechanics, elasticity, solid state physics, radio physics, signal processing, underwater acoustics and geophysics. (Abstract translated from the Russian)

    Model of the evolution of acoustic emission as the randomization of transient processes in coupled nonlinear oscillators

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    The behavior of a crack as a resonator radiating acoustic emission (AE) pulses at instants of sudden growth is investigated theoretically and experimentally. This resonance behavior of a growing crack is determined to a large extent by surface waves propagating along its edges. The crack can therefore be regarded as an acoustic resonator excited at the instant of growth of its tip. Transformations in the form of high-frequency harmonic and combination-frequency subharmonic generation are observed in the spectra of the AE signals. The final stage in the evolution of AE is characterized by the transition to a wideband noise spectrum. These facts lead to the hypothesis that bifurcations analogous to those encountered in the onset of dynamic chaos take place in the AE process. This hypothesis forms the basis of a mathematical model of the AE process as a system of coupled nonlinear oscillators, each corresponding to an individual crack. The initial displacement in one of the interacting cracks is adopted as the bifurcation parameter. Spectra calculated by computer simulation exhibit qualitative agreement with the evolution of the spectra obtained in the processing of data from physical experiments

    Features of independent physical training students of the departmental institute of the Federal Penitentiary Service of Russia in the conditions of distance learning

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    The article discusses issues related to the features and problems of independent physical training of cadets of the departmental educational organization of the Federal Penitentiary Service (FSIN) of Russia in the context of distance learning caused by the coronavirus pandemic. The results of a survey of 100 cadets of the Vologda Institute of Law and Economics of the Federal Penitentiary Service of Russia showed that about 27% of the surveyed students did not have sufficient opportunity to visit sports facilities during the period of self-isolation and distance learning. Also, in addition to objective conditions, the psychological and emotional state of students is of no small importance. The problems of physical training considered in the article that arise among students during the period of distance learning are of a complex nature and require an equally integrated approach for their solution, which involves: legal and organizational support for sports in self-isolation, as well as psychological support of students in distance learning.Π’ ΡΡ‚Π°Ρ‚ΡŒΠ΅ Ρ€Π°ΡΡΠΌΠ°Ρ‚Ρ€ΠΈΠ²Π°ΡŽΡ‚ΡΡ вопросы, ΠΊΠ°ΡΠ°ΡŽΡ‰ΠΈΠ΅ΡΡ особСнностСй ΠΈ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌ ΡΠ°ΠΌΠΎΡΡ‚ΠΎΡΡ‚Π΅Π»ΡŒΠ½ΠΎΠΉ физичСской ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠΈ курсантов вСдомствСнной ΠΎΠ±Ρ€Π°Π·ΠΎΠ²Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎΠΉ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΈ Π€Π΅Π΄Π΅Ρ€Π°Π»ΡŒΠ½ΠΎΠΉ слуТбы исполнСния Π½Π°ΠΊΠ°Π·Π°Π½ΠΈΠΉ (ЀБИН) России Π² условиях дистанционного обучСния, обусловлСнных ΠΏΠ°Π½Π΄Π΅ΠΌΠΈΠ΅ΠΉ коронавирусной ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ. Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ опроса 100 курсантов Вологодского института ΠΏΡ€Π°Π²Π° ΠΈ экономики ЀБИН России ΠΏΠΎΠΊΠ°Π·Π»ΠΈ, Ρ‡Ρ‚ΠΎ ΠΎΠΊΠΎΠ»ΠΎ 27% ΠΎΠΏΡ€ΠΎΡˆΠ΅Π½Π½Ρ‹Ρ… ΠΎΠ±ΡƒΡ‡Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π½Π΅ ΠΈΠΌΠ΅Π»ΠΈ достаточной возмоТности ΠΏΠΎΡΠ΅Ρ‰Π°Ρ‚ΡŒ спортивныС ΠΎΠ±ΡŠΠ΅ΠΊΡ‚Ρ‹ Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ самоизоляции ΠΈ дистанционного обучСния. Π’Π°ΠΊΠΆΠ΅, ΠΏΠΎΠΌΠΈΠΌΠΎ ΠΎΠ±ΡŠΠ΅ΠΊΡ‚ΠΈΠ²Π½Ρ‹Ρ… условий, Π½Π΅ΠΌΠ°Π»ΠΎΠ²Π°ΠΆΠ½ΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΈΠΌΠ΅Π΅Ρ‚ психологичСскоС ΠΈ ΡΠΌΠΎΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½ΠΎΠ΅ состояниС ΠΎΠ±ΡƒΡ‡Π°ΡŽΡ‰ΠΈΡ…ΡΡ. ассматриваСмыС Π² ΡΡ‚Π°Ρ‚ΡŒΠ΅ ΠΏΡ€ΠΎΠ±Π»Π΅ΠΌΡ‹ физичСской ΠΏΠΎΠ΄Π³ΠΎΡ‚ΠΎΠ²ΠΊΠΈ, Π²ΠΎΠ·Π½ΠΈΠΊΠ°ΡŽΡ‰ΠΈΠ΅ Ρƒ ΠΎΠ±ΡƒΡ‡Π°ΡŽΡ‰ΠΈΡ…ΡΡ Π² ΠΏΠ΅Ρ€ΠΈΠΎΠ΄ дистанционного обучСния, ΠΈΠΌΠ΅ΡŽΡ‚ комплСксный Ρ…Π°Ρ€Π°ΠΊΡ‚Π΅Ρ€ ΠΈ Ρ‚Ρ€Π΅Π±ΡƒΡŽΡ‚ ΡΡ‚ΠΎΠ»ΡŒ ΠΆΠ΅ комплСксного ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Π° для ΠΈΡ… Ρ€Π΅ΡˆΠ΅Π½ΠΈΡ, ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°ΡŽΡ‰Π΅Π³ΠΎ: ΠΏΡ€Π°Π²ΠΎΠ²ΠΎΠ΅ ΠΈ ΠΎΡ€Π³Π°Π½ΠΈΠ·Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠ΅ обСспСчСниС занятия спортом Π² условиях самоизоляции, Π° Ρ‚Π°ΠΊΠΆΠ΅ психологичСскоС сопровоТдСниС ΠΎΠ±ΡƒΡ‡Π°ΡŽΡ‰ΠΈΡ…ΡΡ ΠΏΡ€ΠΈ дистанционной Ρ„ΠΎΡ€ΠΌΠ΅ обучСния

    Unsupervised Classification of SAR Images using Hierarchical Agglomeration and EM

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    We implement an unsupervised classification algorithm for high resolution Synthetic Aperture Radar (SAR) images. The foundation of algorithm is based on Classification Expectation-Maximization (CEM). To get rid of two drawbacks of EM type algorithms, namely the initialization and the model order selection, we combine the CEM algorithm with the hierarchical agglomeration strategy and a model order selection criterion called Integrated Completed Likelihood (ICL). We exploit amplitude statistics in a Finite Mixture Model (FMM), and a Multinomial Logistic (MnL) latent class label model for a mixture density to obtain spatially smooth class segments. We test our algorithm on TerraSAR-X data

    Comissioning of the linear accelerator-injector at the TNK facility

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    The industrial storage facility has been developed and manufactured at the Budker INP SB RAS. It contains an 80 MeV electron linear accelerator-injector and two electron storage rings: the lesser 450 MeV booster ring and the main 2.5 GeV storage ring. In 2002, the work on the accelerator assembling was begun. On December, 25 this year the accelerator was started up, and the current at the linear accelerator output was obtained. The linear accelerator schematic together with a description of the 6 meter long accelerating DAW structure which operates at 2.8 GHz, are presented in the paper. The first results of the accelerator start-up are as follows: the accelerated electron current of ~50 mA with the energy of ~55...60 MeV.Π’Π΅Ρ…Π½ΠΎΠ»ΠΎΠ³Ρ–Ρ‡Π½ΠΈΠΉ Π½Π°ΠΊΠΎΠΏΠΈΡ‡ΡƒΠ²Π°Π»ΡŒΠ½ΠΈΠΉ комплСкс Π±ΡƒΠ² спроСктований Ρ– Π²ΠΈΠ³ΠΎΡ‚ΠΎΠ²Π»Π΅Π½ΠΈΠΉ Ρƒ Π†Π―Π€ Ρ–ΠΌ. Π“.Π†. Π‘ΡƒΠ΄ΠΊΠ΅Ρ€Π° Π‘Π’ РАН. Π’Ρ–Π½ ΠΌΡ–ΡΡ‚ΠΈΡ‚ΡŒ Ρƒ собі інТСктор–лінійний ΠΏΡ€ΠΈΡΠΊΠΎΡ€ΡŽΠ²Π°Ρ‡ Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Ρ–Π² Π· Π΅Π½Π΅Ρ€Π³Ρ–Ρ”ΡŽ Π΄ΠΎ 80 ΠœΠ΅Π’ Ρ– Π΄Π²Π° Π½Π°ΠΊΠΎΠΏΠΈΡ‡ΡƒΠ²Π°Ρ‡Ρ– Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Ρ–Π²: ΠΌΠ°Π»ΠΈΠΉ накопичувач–бустСр Π½Π° Π΅Π½Π΅Ρ€Π³Ρ–ΡŽ 450 ΠœΠ΅Π’ Ρ– основний Π½Π°ΠΊΠΎΠΏΠΈΡ‡ΡƒΠ²Π°Ρ‡ Π½Π° Π΅Π½Π΅Ρ€Π³Ρ–ΡŽ 2.5 Π“Π΅Π’. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΡΡ‚ΡŒΡΡ Ρ„ΡƒΠ½ΠΊΡ†Ρ–ΠΎΠ½Π°Π»ΡŒΠ½Π° схСма Π»Ρ–Π½Ρ–ΠΉΠ½ΠΎΠ³ΠΎ ΠΏΡ€ΠΈΡΠΊΠΎΡ€ΡŽΠ²Π°Ρ‡Π° ΠΉ опис конструкції ΠΏΡ€ΠΈΡΠΊΠΎΡ€ΡŽΡŽΡ‡ΠΎΡ— структури Ρ–Π· шайбами Ρ– Π΄Ρ–Π°Ρ„Ρ€Π°Π³ΠΌΠ°ΠΌΠΈ довТиною 6 ΠΌ, Ρ‰ΠΎ ΠΏΡ€Π°Ρ†ΡŽΡ” Π½Π° частоті 2.8 Π“Π“Ρ†.ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½ΠΎ ΠΏΠ΅Ρ€ΡˆΡ– Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚ΠΈ запуску ΠΏΡ€ΠΈΡΠΊΠΎΡ€ΡŽΠ²Π°Ρ‡Π°: ΠΎΡ‚Ρ€ΠΈΠΌΠ°Π½ΠΈΠΉ прискорСний струм Π΅Π»Π΅ΠΊΡ‚Ρ€ΠΎΠ½Ρ–Π² ~50 мА Π· Π΅Π½Π΅Ρ€Π³Ρ–Ρ”ΡŽ ~(55...60) ΠœΠ΅Π’.ВСхнологичСский Π½Π°ΠΊΠΎΠΏΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹ΠΉ комплСкс Π±Ρ‹Π» спроСктирован ΠΈ ΠΈΠ·Π³ΠΎΡ‚ΠΎΠ²Π»Π΅Π½ Π² ИЯЀ ΠΈΠΌ. Π“.И. Π‘ΡƒΠ΄ΠΊΠ΅Ρ€Π° БО РАН. Он Π²ΠΊΠ»ΡŽΡ‡Π°Π΅Ρ‚ Π² сСбя инТСктор–линСйный ΡƒΡΠΊΠΎΡ€ΠΈΡ‚Π΅Π»ΡŒ элСктронов с энСргиСй Π΄ΠΎ 80 ΠœΡΠ’ ΠΈ Π΄Π²Π° накопитСля элСктронов: ΠΌΠ°Π»Ρ‹ΠΉ Π½Π°ΠΊΠΎΠΏΠΈΡ‚Π΅Π»ΡŒβ€“Π±ΡƒΡΡ‚Π΅Ρ€ Π½Π° ΡΠ½Π΅Ρ€Π³ΠΈΡŽ 450 ΠœΡΠ’ ΠΈ основной Π½Π°ΠΊΠΎΠΏΠΈΡ‚Π΅Π»ΡŒ Π½Π° ΡΠ½Π΅Ρ€Π³ΠΈΡŽ 2.5 ГэВ. ΠŸΡ€ΠΈΠ²ΠΎΠ΄ΡΡ‚ΡΡ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΎΠ½Π°Π»ΡŒΠ½Π°Ρ схСма Π»ΠΈΠ½Π΅ΠΉΠ½ΠΎΠ³ΠΎ ускоритСля ΠΈ описаниС конструкции ΡƒΡΠΊΠΎΡ€ΡΡŽΡ‰Π΅ΠΉ структуры с шайбами ΠΈ Π΄ΠΈΠ°Ρ„Ρ€Π°Π³ΠΌΠ°ΠΌΠΈ Π΄Π»ΠΈΠ½ΠΎΠΉ 6 ΠΌΠ΅Ρ‚Ρ€ΠΎΠ², Ρ€Π°Π±ΠΎΡ‚Π°ΡŽΡ‰Π΅ΠΉ Π½Π° частотС 2.8 Π“Π“Ρ†. ΠŸΡ€Π΅Π΄ΡΡ‚Π°Π²Π»Π΅Π½Ρ‹ ΠΏΠ΅Ρ€Π²Ρ‹Π΅ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹ запуска ускоритСля: ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½ ускорСнный Ρ‚ΠΎΠΊ элСктронов ~50 ΠΌA с энСргиСй ~(55...60) ΠœΡΠ’
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