373 research outputs found

    Stability of the photonic band gap in the presence of disorder

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    The photonic eigenmodes near a band gap of a type of one-dimensional disordered photonic crystal have been investigated statistically. For the system considered, it is found that the tail of the density of states entering the band gap is characterized by a certain penetration depth, which is proportional to the disorder parameter. A quantitative relation between the relative penetration depth, the relative width of the photonic band gap, and the disorder has been found. It is apparent that there is a certain level of disorder below which the probability of the appearance of photonic eigenstates at the center of the photonic band gap essentially vanishes. Below the threshold, the ensemble-averaged transmission at the center of the photonic band gap does not change significantly with increasing disorder, but above threshold it increases much more rapidly. A simple empirical formula has been obtained which describes how the logarithm of the transmission relates to the periodic refractive index modulation and the disorde

    «НСоТиданныС» ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ ΠΏΡ€ΠΈ асСптичСских рСвизиях

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    Background. Data from the national registers of arthroplasty showed that about 12% of hip and knee arthroplasty undergo revision within 10 years after the primary surgery. The leading cause of hip revisions is aseptic loosening of components, knee joint periprosthetic infection (PPI). Some of the infectious complications, including those related to mechanical causes, remain out of sight. The aim of the study was to identify the frequency of unexpected infections during revision knee and hip arthroplasty performed for aseptic complications of any etiology. Materials and Methods. 839 cases of revision arthroplasty of knee and hip joints were analyzed, including 485 aseptic revisions in 450 patients. Clinical, X-ray, laboratory (complete blood count and comprehensive metabolic panel, coagulation panel) methods, synovial fluid analysis and microbiological examination of punctures, including intraoperative ones, were used. The ICM and EBJIS (European Bone and Joint Infections Society) consensus recommendations were used as criteria for assessing the presence of infection. Results. The average age of patients at the time of the revision was 61.7 years. The hip joint prevailed (59.4%), knee joint 40.6%. The growth of microorganisms in the intraoperative biomaterial was detected in 2.08% of observations: in 10 out of 287 patients after aseptic revision of the hip joints and in none of the 198 revisions of the knee joints. In 8 out of 10 cases, the causative agents were coagulase-negative staphylococci, including 6 MRSE; in two cases, anaerobic bacteria. All revisions were carried out by a one-stage method. Patients with detected PPI underwent systemic antibacterial therapy. At the stage of catamnesis, reinfection was assumed in one of the 10 identified cases of PPI, the patient did not show up for revision. In control 63% of the group of the other (aseptic) 470 patients, PPI developed in 4 cases, two-stage revisions were carried out. Conclusions. The frequency of infections accidentally detected during aseptic revisions of large joints was 2.08%. Three-time examination of joint punctures, including intraoperative, provides additional opportunities for the diagnosis of PPI during aseptic revision, and also allows you to choose the optimal stage of revision treatment. The experience gained makes it possible in certain cases to perform one-stage revision in the treatment of PPI.ΠΠΊΡ‚ΡƒΠ°Π»ΡŒΠ½ΠΎΡΡ‚ΡŒ. Π”Π°Π½Π½Ρ‹Π΅ ΠΌΠΈΡ€ΠΎΠ²Ρ‹Ρ… рСгистров артропластики суставов ΠΏΠΎΠΊΠ°Π·Π°Π»ΠΈ, Ρ‡Ρ‚ΠΎ ΠΎΠΊΠΎΠ»ΠΎ 12% эндопротСзов Ρ‚Π°Π·ΠΎΠ±Π΅Π΄Ρ€Π΅Π½Π½ΠΎΠ³ΠΎ ΠΈ ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ суставов ΠΏΠΎΠ΄Π²Π΅Ρ€Π³Π°ΡŽΡ‚ΡΡ Ρ€Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½Ρ‹ΠΌ Π²ΠΌΠ΅ΡˆΠ°Ρ‚Π΅Π»ΡŒΡΡ‚Π²Π°ΠΌ Π² Ρ‚Π΅Ρ‡Π΅Π½ΠΈΠ΅ 10 Π»Π΅Ρ‚ послС ΠΏΠ΅Ρ€Π²ΠΈΡ‡Π½ΠΎΠΉ ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΈ. Π›ΠΈΠ΄ΠΈΡ€ΡƒΡŽΡ‰Π°Ρ ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π° Ρ€Π΅Π²ΠΈΠ·ΠΈΠΉ Ρ‚Π°Π·ΠΎΠ±Π΅Π΄Ρ€Π΅Π½Π½ΠΎΠ³ΠΎ сустава асСптичСскоС Ρ€Π°ΡΡˆΠ°Ρ‚Ρ‹Π²Π°Π½ΠΈΠ΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ‚ΠΎΠ², ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ пСрипротСзная инфСкция (ППИ). Π§Π°ΡΡ‚ΡŒ ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΎΠ½Π½Ρ‹Ρ… ослоТнСний, Π² Ρ‚.Ρ‡. связанных с мСханичСскими ΠΏΡ€ΠΈΡ‡ΠΈΠ½Π°ΠΌΠΈ, остаСтся Π²Π½Π΅ поля зрСния Π²Ρ€Π°Ρ‡Π΅ΠΉ. ЦСлью Ρ€Π°Π±ΠΎΡ‚Ρ‹ являСтся выявлСниС частоты Π½Π΅ΠΎΠΆΠΈΠ΄Π°Π½Π½Ρ‹Ρ… ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ ΠΏΡ€ΠΈ Ρ€Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠΌ эндопротСзировании ΠΊΠΎΠ»Π΅Π½Π½Ρ‹Ρ… ΠΈ Ρ‚Π°Π·ΠΎΠ±Π΅Π΄Ρ€Π΅Π½Π½Ρ‹Ρ… суставов, Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½Π½ΠΎΠΌ ΠΏΠΎ ΠΏΠΎΠ²ΠΎΠ΄Ρƒ асСптичСских ослоТнСний любой этиологии. ΠœΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π» ΠΈ ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹. ΠŸΡ€ΠΎΠ°Π½Π°Π»ΠΈΠ·ΠΈΡ€ΠΎΠ²Π°Π½ΠΎ 839 случаСв Ρ€Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ эндопротСзирования ΠΊΠΎΠ»Π΅Π½Π½ΠΎΠ³ΠΎ (КБ) ΠΈ Ρ‚Π°Π·ΠΎΠ±Π΅Π΄Ρ€Π΅Π½Π½ΠΎΠ³ΠΎ (Π’Π‘Π‘) суставов, Π² Ρ‚ΠΎΠΌ числС 485 асСптичСских Ρ€Π΅Π²ΠΈΠ·ΠΈΠΉ Ρƒ 450 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ². ΠŸΡ€ΠΈΠΌΠ΅Π½ΡΠ»ΠΈΡΡŒ клиничСский, рСнтгСнологичСский, Π»Π°Π±ΠΎΡ€Π°Ρ‚ΠΎΡ€Π½Ρ‹ΠΉ (ΠΎΠ±Ρ‰ΠΈΠΉ ΠΈ биохимичСский Π°Π½Π°Π»ΠΈΠ·Ρ‹ ΠΊΡ€ΠΎΠ²ΠΈ, ΠΊΠΎΠ°Π³ΡƒΠ»ΠΎΠ³Ρ€Π°ΠΌΠΌΠ°) ΠΌΠ΅Ρ‚ΠΎΠ΄Ρ‹, Π°Π½Π°Π»ΠΈΠ· синовиальной Тидкости ΠΈ микробиологичСскоС исслСдованиС ΠΏΡƒΠ½ΠΊΡ‚Π°Ρ‚ΠΎΠ², Π² Ρ‚.Ρ‡. ΠΈΠ½Ρ‚Ρ€Π°ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ…. Π’ качСствС ΠΊΡ€ΠΈΡ‚Π΅Ρ€ΠΈΠ΅Π² ΠΎΡ†Π΅Π½ΠΊΠΈ наличия ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΈ использовали Ρ€Π΅ΠΊΠΎΠΌΠ΅Π½Π΄Π°Ρ†ΠΈΠΈ консСнсуса ICM ΠΈ EBJIS (ЕвропСйского общСства ΠΏΠΎ инфСкциям костСй ΠΈ суставов). Π Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Ρ‹. Π‘Ρ€Π΅Π΄Π½ΠΈΠΉ возраст ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π½Π° ΠΌΠΎΠΌΠ΅Π½Ρ‚ Ρ€Π΅Π²ΠΈΠ·ΠΈΠΈ составил 61,7 Π³ΠΎΠ΄Π°. На Π’Π‘Π‘ Π²Ρ‹ΠΏΠΎΠ»Π½Π΅Π½ΠΎ 59,4% Ρ€Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½Ρ‹Ρ… ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΉ, Π½Π° КБ 40,6%. Рост ΠΌΠΈΠΊΡ€ΠΎΠΎΡ€Π³Π°Π½ΠΈΠ·ΠΌΠΎΠ² Π² ΠΈΠ½Ρ‚Ρ€Π°ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½ΠΎΠΌ Π±ΠΈΠΎΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π΅ ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ Π² 2,08% наблюдСний: Ρƒ 10 ΠΈΠ· 287 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² послС асСптичСской Ρ€Π΅Π²ΠΈΠ·ΠΈΠΈ Ρ‚Π°Π·ΠΎΠ±Π΅Π΄Ρ€Π΅Π½Π½Ρ‹Ρ… суставов ΠΈ Π½ΠΈ Π² ΠΎΠ΄Π½ΠΎΠΌ случаС ΠΈΠ· 198 Ρ€Π΅Π²ΠΈΠ·ΠΈΠΉ ΠΊΠΎΠ»Π΅Π½Π½Ρ‹Ρ… суставов. Π’ 8 ΠΈΠ· 10 случаСв возбудитСлями Π±Ρ‹Π»ΠΈ ΠΊΠΎΠ°Π³ΡƒΠ»Π°Π·ΠΎ-Π½Π΅Π³Π°Ρ‚ΠΈΠ²Π½Ρ‹Π΅ стафилококки, Π² Ρ‚ΠΎΠΌ числС Π² 6 MRSE; Π² Π΄Π²ΡƒΡ… случаях анаэробныС Π±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠΈ. ВсС Ρ€Π΅Π²ΠΈΠ·ΠΈΠΈ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ одноэтапным ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠΌ. ΠŸΠ°Ρ†ΠΈΠ΅Π½Ρ‚Π°ΠΌ с ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½Π½ΠΎΠΉ ППИ ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Π° систСмная Π°Π½Ρ‚ΠΈΠ±Π°ΠΊΡ‚Π΅Ρ€ΠΈΠ°Π»ΡŒΠ½Π°Ρ тСрапия. На этапС ΠΊΠ°Ρ‚Π°ΠΌΠ½Π΅Π·Π° Π² ΠΎΠ΄Π½ΠΎΠΌ ΠΈΠ· 10 выявлСнных случаСв ППИ ΠΏΡ€Π΅Π΄ΠΏΠΎΠ»Π°Π³Π°Π»Π°ΡΡŒ рСинфСкция, ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ Π½Π° Ρ€Π΅Π²ΠΈΠ·ΠΈΡŽ Π½Π΅ явился. ΠŸΡ€ΠΈ ΠΊΠΎΠ½Ρ‚Ρ€ΠΎΠ»Π΅ 63% ΠΈΠ· Π³Ρ€ΡƒΠΏΠΏΡ‹ ΠΎΡΡ‚Π°Π»ΡŒΠ½Ρ‹Ρ… (асСптичСских) 470 ΠΏΠ°Ρ†ΠΈΠ΅Π½Ρ‚ΠΎΠ² Π² 4 случаях Ρ€Π°Π·Π²ΠΈΠ»Π°ΡΡŒ ППИ , ΠΏΡ€ΠΎΠ²Π΅Π΄Π΅Π½Ρ‹ двухэтапныС Ρ€Π΅Π²ΠΈΠ·ΠΈΠΈ. Π—Π°ΠΊΠ»ΡŽΡ‡Π΅Π½ΠΈΠ΅. Частота ΠΈΠ½Ρ„Π΅ΠΊΡ†ΠΈΠΉ, случайно ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΈ асСптичСских рСвизиях ΠΊΡ€ΡƒΠΏΠ½Ρ‹Ρ… суставов, составила Π² 2,08%. Π’Ρ€Π΅Ρ…ΠΊΡ€Π°Ρ‚Π½ΠΎΠ΅ исслСдованиС ΠΏΡƒΠ½ΠΊΡ‚Π°Ρ‚ΠΎΠ² сустава, Π² Ρ‚.Ρ‡. ΠΈΠ½Ρ‚Ρ€Π°ΠΎΠΏΠ΅Ρ€Π°Ρ†ΠΈΠΎΠ½Π½Ρ‹Ρ…, прСдоставляСт Π΄ΠΎΠΏΠΎΠ»Π½ΠΈΡ‚Π΅Π»ΡŒΠ½Ρ‹Π΅ возмоТности диагностики ППИ ΠΏΡ€ΠΈ асСптичСской Ρ€Π΅Π²ΠΈΠ·ΠΈΠΈ, Π° Ρ‚Π°ΠΊΠΆΠ΅ позволяСт ΠΈΠ·Π±Ρ€Π°Ρ‚ΡŒ ΠΎΠΏΡ‚ΠΈΠΌΠ°Π»ΡŒΠ½ΡƒΡŽ ΡΡ‚Π°ΠΏΠ½ΠΎΡΡ‚ΡŒ Ρ€Π΅Π²ΠΈΠ·ΠΈΠΎΠ½Π½ΠΎΠ³ΠΎ лСчСния. ΠŸΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹ΠΉ ΠΎΠΏΡ‹Ρ‚ позволяСт Π² ΠΎΠΏΡ€Π΅Π΄Π΅Π»Π΅Π½Π½Ρ‹Ρ… случаях ΠΏΡ€ΠΈ Π»Π΅Ρ‡Π΅Π½ΠΈΠΈ ППИ Π²Ρ‹ΠΏΠΎΠ»Π½ΡΡ‚ΡŒ одноэтапноС рСэндопротСзированиС

    Optimal affine image normalization approach for optical character recognition

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    Optical character recognition (OCR) in images captured from arbitrary angles requires preliminary normalization, i.e. a geometric transformation resulting in an image as if it was captured at an angle suitable for OCR. In most cases, a surface containing characters can be considered flat, and a pinhole model can be adopted for a camera. Thus, in theory, the normalization should be projective. Usually, the camera optical axis is approximately perpendicular to the document surface, so the projective normalization can be replaced with an affine one without a significant loss of accuracy. An affine image transformation is performed significantly faster than a projective normalization, which is important for OCR on mobile devices. In this work, we propose a fast approach for image normalization. It utilizes an affine normalization instead of a projective one if there is no significant loss of accuracy. The approach is based on a proposed criterion for the normalization accuracy: root mean square (RMS) coordinate discrepancies over the region of interest (ROI). The problem of optimal affine normalization according to this criterion is considered. We have established that this unconstrained optimization is quadratic and can be reduced to a problem of fractional quadratic functions integration over the ROI. The latter was solved analytically in the case of OCR where the ROI consists of rectangles. The proposed approach is generalized for various cases when instead of the affine transform its special cases are used: scaling, translation, shearing, and their superposition, allowing the image normalization procedure to be further accelerated.This work was partially financially supported by the Russian Foundation for Basic Research, projects 18-29-26035 and 17-29-03370

    Modeling of spontaneous emission in presence of cylindrical nanoobjects: the scattering matrix approach

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    We propose a method of analysis of spontaneous emission of a quantum emitter (an atom, a luminescence center, a quantum dot) inside or in vicinity of a cylinder. At the focus of our method are analytical expressions for the scattering matrix of the cylindrical nanoobject. We propose the approach to electromagnetic field quantization based of eigenvalues and eigenvectors of the scattering matrix. The method is applicable for calculation and analysis of spontaneous emission rates and angular dependences of radiation for a set of different systems: semiconductor nanowires with quantum dots, plasmonic nanowires, cylindrical hollows in dielectrics and metals. Relative simplicity of the method allows obtaining analytical and semi-analytical expressions for both cases of radiation into external medium and into guided modes.The work has been supported by the Russian Science Foundation 21-12-00304

    Алгоритм ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ масс-спСктромСтричСских Π΄Π°Π½Π½Ρ‹Ρ… для получСния диагностичСской ΠΏΠ°Π½Π΅Π»ΠΈ молСкулярных соСдинСний Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ поиска ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² мСтастазирования ΠΏΡ€ΠΈ Ρ€Π°ΠΊΠ΅ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹

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    A pathology diagnostic using molecular marker is a perspective direction of clinical medicine. Mass-spectrometry (MS) is a one of methods, which are used for obtaining information about molecular profiles. Selection of species, essential for classification β€œcase/control is an important task for data processing. Pipeline of data processing has been proposed using MS data, obtained during analysis of tumor breast tissue samples and health breast tissue samples, with the aim of metastasis marker selection. As a result, selection of lipid markers that belong to classes, related to metastasis and proliferation processes, makes it possible to create high sensitivity diagnostic model, based on logistic regression. The proposed method is applicable for data processing, obtained by MS analysis of other β€œomics”: metabolome, proteome, glycome.Диагностика ΠΏΠ°Ρ‚ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΏΠΎ молСкулярным ΠΌΠ°Ρ€ΠΊΠ΅Ρ€Π°ΠΌ являСтся пСрспСктивным Π½Π°ΠΏΡ€Π°Π²Π»Π΅Π½ΠΈΠ΅ΠΌ клиничСской ΠΌΠ΅Π΄ΠΈΡ†ΠΈΠ½Ρ‹, Π² ΠΊΠΎΡ‚ΠΎΡ€ΠΎΠΌ масс-спСктромСтрия (МБ) яслуТит ΠΎΠ΄Π½ΠΈΠΌ ΠΈΠ· ΠΌΠ΅Ρ‚ΠΎΠ΄ΠΎΠ², ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΠ΅ΠΌΡ‹Ρ… для получСния ΠΈΠ½Ρ„ΠΎΡ€ΠΌΠ°Ρ†ΠΈΠΈ ΠΎ молСкулярных профилях. Π’ контСкстС извлСчСния соСдинСний, ΠΈΠ³Ρ€Π°ΡŽΡ‰ΠΈΡ… ΠΊΠ»ΡŽΡ‡Π΅Π²ΡƒΡŽ Ρ€ΠΎΠ»ΡŒ для классификации патология/болСзнь, Π²Π°ΠΆΠ½ΠΎΠ΅ Π·Π½Π°Ρ‡Π΅Π½ΠΈΠ΅ ΠΈΠΌΠ΅Π΅Ρ‚ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠ° ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… Π΄Π°Π½Π½Ρ‹Ρ…, часто Π²ΠΊΠ»ΡŽΡ‡Π°ΡŽΡ‰ΠΈΡ… нСсколько сотСн Π΄Π΅Ρ‚Π΅ΠΊΡ‚ΠΈΡ€ΠΎΠ²Π°Π½Π½Ρ‹Ρ… соСдинСний. Π’ Π΄Π°Π½Π½ΠΎΠΉ Ρ€Π°Π±ΠΎΡ‚Π΅ ΠΏΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½ Π°Π»Π³ΠΎΡ€ΠΈΡ‚ΠΌ ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π΄Π°Π½Π½Ρ‹Ρ… Π½Π° ΠΏΡ€ΠΈΠΌΠ΅Ρ€Π΅ Π΄Π°Π½Π½Ρ‹Ρ… МБ, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ ΠΎΠΏΡƒΡ…ΠΎΠ»Π΅Π²ΠΎΠΉ Ρ‚ΠΊΠ°Π½ΠΈ ΠΈ Π·Π΄ΠΎΡ€ΠΎΠ²ΠΎΠΉ ΠΌΠΎΠ»ΠΎΡ‡Π½ΠΎΠΉ ΠΆΠ΅Π»Π΅Π·Ρ‹, с Ρ†Π΅Π»ΡŒΡŽ выдСлСния Π»ΠΈΠΏΠΈΠ΄Π½Ρ‹Ρ… ΠΌΠ°Ρ€ΠΊΠ΅Ρ€ΠΎΠ² мСтастазирования. Π’ Ρ€Π΅Π·ΡƒΠ»ΡŒΡ‚Π°Ρ‚Π΅ Π΅Π³ΠΎ Ρ€Π΅Π°Π»ΠΈΠ·Π°Ρ†ΠΈΠΈ ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½ Π½Π°Π±ΠΎΡ€ соСдинСний, относящихся ΠΊ классам Π»ΠΈΠΏΠΈΠ΄ΠΎΠ², связанных с процСссами мСтастазирования ΠΈ ΠΏΡ€ΠΎΠ»ΠΈΡ„Π΅Ρ€Π°Ρ†ΠΈΠΈ, ΠΈ ΠΏΠΎΠ·Π²ΠΎΠ»ΡΡŽΡ‰ΠΈΡ… ΠΏΠΎΡΡ‚Ρ€ΠΎΠΈΡ‚ΡŒ Π²Ρ‹ΡΠΎΠΊΠΎΡ‡ΡƒΠ²ΡΡ‚Π²ΠΈΡ‚Π΅Π»ΡŒΠ½ΡƒΡŽ Π΄ΠΈΠ°Π³Π½ΠΎΡΡ‚ΠΈΡ‡Π΅ΡΠΊΡƒΡŽ модСль Π½Π° основС логистичСской рСгрСссии. ΠŸΡ€Π΅Π΄Π»ΠΎΠΆΠ΅Π½Π½Ρ‹ΠΉ ΠΌΠ΅Ρ‚ΠΎΠ΄ ΠΏΠΎΡ‚Π΅Π½Ρ†ΠΈΠ°Π»ΡŒΠ½ΠΎ ΠΏΡ€ΠΈΠ³ΠΎΠ΄Π΅Π½ для ΠΎΠ±Ρ€Π°Π±ΠΎΡ‚ΠΊΠΈ Π΄Π°Π½Π½Ρ‹Ρ… МБ, ΠΏΠΎΠ»ΡƒΡ‡Π΅Π½Π½Ρ‹Ρ… ΠΏΡ€ΠΈ Π°Π½Π°Π»ΠΈΠ·Π΅ молСкулярного профиля Π±ΠΈΠΎΠΌΠ°Ρ‚Π΅Ρ€ΠΈΠ°Π»Π° Π΄Ρ€ΡƒΠ³ΠΎΠ³ΠΎ базиса (ΠΌΠ΅Ρ‚Π°Π±ΠΎΠ»ΠΎΠΌ, ΠΏΡ€ΠΎΡ‚Π΅ΠΎΠΌ, Π³Π»ΠΈΠΊΠΎΠΌ)

    Current state of the research on optoacoustic fiber-optic ultrasonic transducers based on thermoelastic effect and fiber-optic interferometric receivers

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    The work is devoted to an overview of the current state of optoacoustic fiber-optic ultrasonic transducers based on thermoelastic effect and fiber-optic interference receivers, its scope, technologies and materials used, the advantages and disadvantages of different methods and the prospects for the development of the industry.The work has been supported by the Russian Science Foundation 21-12-00304

    Towards a unified framework for identity documents analysis and recognition

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    Identity documents recognition is far beyond classical optical character recognition problems. Automated ID document recognition systems are tasked not only with the extraction of editable and transferable data but with performing identity validation and preventing fraud, with an increasingly high cost of error. A significant amount of research is directed to the creation of ID analysis systems with a specific focus for a subset of document types, or a particular mode of image acquisition, however, one of the challenges of the modern world is an increasing demand for identity document recognition from a wide variety of image sources, such as scans, photos, or video frames, as well as in a variety of virtually uncontrolled capturing conditions. In this paper, we describe the scope and context of identity document analysis and recognition problem and its challenges; analyze the existing works on implementing ID document recognition systems; and set a task to construct a unified framework for identity document recognition, which would be applicable for different types of image sources and capturing conditions, as well as scalable enough to support large number of identity document types. The aim of the presented framework is to serve as a basis for developing new methods and algorithms for ID document recognition, as well as for far more heavy challenges of identity document forensics, fully automated personal authentication and fraud prevention.This work was partially supported by the Russian Foundation for Basic Research (Project No. 18-29-03085 and 19-29-09055)

    X-ray tomography: the way from layer-by-layer radiography to computed tomography

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    The methods of X-ray computed tomography allow us to study the internal morphological structure of objects in a non-destructive way. The evolution of these methods is similar in many respects to the evolution of photography, where complex optics were replaced by mobile phone cameras, and the computers built into the phone took over the functions of high-quality image generation. X-ray tomography originated as a method of hardware non-invasive imaging of a certain internal cross-section of the human body. Today, thanks to the advanced reconstruction algorithms, a method makes it possible to reconstruct a digital 3D image of an object with a submicron resolution. In this article, we will analyze the tasks that the software part of the tomographic complex has to solve in addition to managing the process of data collection. The issues that are still considered open are also discussed. The relationship between the spatial resolution of the method, sensitivity and the radiation load is reviewed. An innovative approach to the organization of tomographic imaging, called β€œreconstruction with monitoring”, is described. This approach makes it possible to reduce the radiation load on the object by at least 2 – 3 times. In this work, we show that when X-ray computed tomography moves towards increasing the spatial resolution and reducing the radiation load, the software part of the method becomes increasingly important.This work was supported by Russian Foundation for Basic Research (Projects No.18-29-26033, 18-29-26020)
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