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2023 IX International Conference on Information Technology and Nanotechnology (ITNT)最新文献

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An Algorithm for Detecting Artifacts in Video Recordings of Long-Term Video-EEG Monitoring Data for the Diagnostics of Delayed Cerebral Ischemia 一种用于迟发性脑缺血诊断的长时间视频-脑电图监测录像伪影检测算法
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139085
D. Murashov, Y. Obukhov, I. Kershner, M. Sinkin
In this paper, we propose an algorithm for detecting artifacts in long-term video-EEG monitoring data in the problem of diagnosing cerebral ischemia after subarachnoid hemorrhage. The algorithm is based on a threshold detector using the smoothed optical flow value. The optical flow is calculated from the video frames of long-term video-EEG monitoring. We conducted a computational experiment that showed the following: (a) artifacts are detected with accuracy acceptable for diagnosing cerebral ischemia during synchronous analysis of video data and EEG signals; (b) artifacts can be detected in real time.
本文针对蛛网膜下腔出血后脑缺血的诊断问题,提出了一种检测长时间视频-脑电图监测数据中的伪影的算法。该算法基于平滑光流值的阈值检测器。根据视频-脑电长期监测的视频帧计算光流。我们进行了一项计算实验,结果表明:(a)在视频数据和脑电图信号的同步分析过程中,检测到的伪影具有可接受的诊断脑缺血的准确性;(b)可以实时检测到伪影。
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引用次数: 0
Improving the Efficiency of Noninvasive Electrocardiography Screening System 提高无创心电图筛查系统的效率
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139103
O. Bodin, M. Kramm, A. Bodin, N. Kruchinina, N. Serzhantova
The paper considers the issues of improving the efficiency of noninvasive electrocardiodiagnostic screening system (NESS) based on the registration of multiple leads of the electrocardiographic signal (ECS). The proposed methods and means of ECS processing refer to the 4th generation electrocardiography, which allows obtaining new information about cardiac processes more reliably and revealing clinically significant cardiac pathologies under screening conditions.An approach to building NESS has been proposed that consists in "convergence" of solutions of direct and inverse electrocardiology problems with subsequent visualization of the results of the solutions for a visual presentation of the heart electrical activity (HEA) to the physician. Increased efficiency of NESS is due to the original "technological pipeline" of ECS processing: registration of multiple ECS leads, pre-processing of ECS, multivariate analysis of ECS, modeling and visualization of ECS.Physicians are provided with a tool for screening and diagnostics of HEA, providing increase of efficiency of HEA assessment on the basis of collection, processing and transfer of cardiographic information; modeling of HEA; visualization of HEA analysis results.
本文探讨了提高基于多导联心电图信号配准的无创心电诊断筛查系统(NESS)效率的问题。所提出的ECS处理方法和手段参考了第四代心电图,可以更可靠地获得关于心脏过程的新信息,并在筛查条件下揭示具有临床意义的心脏病理。已经提出了一种构建NESS的方法,包括将直接和反向心电学问题的解决方案“收敛”,随后将解决方案的结果可视化,以便向医生可视化地展示心脏电活动(HEA)。NESS效率的提高源于原有的ECS处理“技术流水线”:多个ECS导联的注册、ECS的预处理、ECS的多变量分析、ECS的建模和可视化。为医生提供HEA筛查和诊断的工具,在收集、处理和传递心脏信息的基础上提高HEA评估的效率;HEA建模;HEA分析结果可视化。
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引用次数: 0
Analysis of the Influence of Background Areas on the Registration Efficiency of Multiple Images Bridge Structures 背景面积对多图像桥结构配准效率的影响分析
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10138954
R. Magdeev, G. Safina, A. Tashlinskii
The paper analyzes the influence of different background areas on the image of a bridge structure on the quality of registration of multi-temporal images of one section using stochastic algorithms. In this case, the images were obtained from an unmanned aerial vehicle having a difference in the coordinates of their acquisition. The influence of registration parameters of images for the sky area, soil cover and the shape of the structure is analyzed under the assumption that the mutual spatial deformations of the images are described by a similarity model. It is shown that the results can be used to search for newly appeared objects in the area of interest.
本文分析了不同背景区域对桥梁结构图像的影响,利用随机算法对同一截面的多时相图像进行配准。在这种情况下,图像是从无人机获得的,其获取坐标存在差异。在假设图像相互空间变形用相似模型描述的前提下,分析了图像配准参数对天空面积、土壤覆盖和结构形状的影响。结果表明,该结果可用于搜索感兴趣区域中新出现的物体。
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引用次数: 0
Visualization of feature spaces based on spectral and texture characteristics 基于光谱和纹理特征的特征空间可视化
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139108
E. Myasnikov
The paper presents a method for visualizing feature spaces describing the pixels of hyperspectral images based on spectral and texture characteristics. The proposed method allows using various measures of spectral dissimilarity between image pixels along with textural features. The method is based on an implicit transition to intermediate feature representations using the calculation of pairwise dissimilarities between data points in input feature spaces, followed by the reconstruction of feature vectors in 3D space and interactive data visualization. The proposed approach is investigated on publicly available hyperspectral scenes using quantitative estimates and visual analysis.
提出了一种基于光谱和纹理特征的高光谱图像像素特征空间可视化方法。所提出的方法允许使用图像像素之间的光谱不相似性的各种度量以及纹理特征。该方法通过计算输入特征空间中数据点之间的两两不相似度,隐式过渡到中间特征表示,然后在三维空间中重建特征向量并进行交互式数据可视化。采用定量估计和视觉分析的方法对公开可用的高光谱场景进行了研究。
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引用次数: 0
Investigation of the sensitivity of an aluminum aperture cantilever to the polarization of incident radiation 铝孔悬臂梁对入射辐射偏振敏感性的研究
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139129
E. Kozlova, S. Stafeev, V. Kotlyar
In this research we estimate the influence polarisation of the incident radiation on the measurement by a pyramidal aperture cantilever. The numerical modelling of the detection process was made by applying the finite-difference time-domain method. It was numerically demonstrated that proposed aluminum pyramidal aperture cantilever is more sensitive to the transversal electric components than the longitudinal component.
在本研究中,我们估计了入射辐射的偏振对金字塔孔悬臂梁测量的影响。采用时域有限差分法对探测过程进行了数值模拟。数值计算表明,所提出的铝锥孔悬臂梁对横向电分量比纵向电分量更敏感。
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引用次数: 0
Development of a digital twin of plant based on the principles of emergent intelligence 基于涌现智能原理的植物数字孪生体的发展
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139177
P. Skobelev, A. Tabachinskiy, E. Simonova, O. Goryanin, Yu. I. Zhuravel, Gennady Myatov, Vasily Ermakov
The paper discusses development of a smart digital twin of plants (DTP) based on the principles of emergent intelligence. The described methodology is part of the approach proposed by the authors earlier. It proposes implementation of a smart DTP as a multilevel complex adaptive system with the use of ontologies and multi-agent technologies. Models for interaction between agents of plant parts and subsystems can provide more accurate planning of each stage of plant growth. The paper describes the architecture of the DTP prototype, as well as a scenario of an experiment with it. Development of methodology will improve the accuracy of real plant simulation and simplify scaling of the system when developing ontological models of new crops.
本文讨论了基于涌现智能原理的植物智能数字孪生体(DTP)的发展。所描述的方法是作者先前提出的方法的一部分。提出了利用本体和多智能体技术将智能DTP实现为多层次复杂自适应系统。植物各部分agent和子系统agent之间相互作用的模型可以更准确地规划植物生长的各个阶段。本文描述了DTP原型的体系结构,以及一个实验场景。该方法的发展将提高真实植物模拟的准确性,并在开发新作物的本体模型时简化系统的缩放。
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引用次数: 0
Hyperspectral images neural network analysis of unstained micropreparations 未染色微制剂的高光谱图像神经网络分析
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139173
A. Pirogov, A. Nikonorov, A. Muzyka, A. Makarov, D. Ryskova, N. Ivliev, V. Podlipnov, N. Firsov, P.V. Boriskin
The article presents the results of a study of hyperspectral imaging in microscopy to assess pathological changes in unstained medical micropreparations. Hyperspectral imaging was carried out using a system of synchronous shooting and movement of a movable table combined with a stepper motor. To improve the quality of the obtained images, software correction of the illumination of the spectral channels was used. The classification was carried out by a convolutional neural network. This method may be promising for assessing pathological changes in clinical practice. Experimental studies were carried out on histological preparations with different types of tissues without staining with contrasting medical dyes. To assess the reliability of the classification method, a comparison was made with the standard method using staining of the studied samples.
本文介绍了一项研究的结果,在显微镜高光谱成像,以评估病理变化的未染色的医疗微制剂。采用与步进电机相结合的可移动工作台同步拍摄和移动系统进行高光谱成像。为了提高获得的图像质量,对光谱通道的照度进行了软件校正。通过卷积神经网络进行分类。该方法有望在临床实践中用于病理变化的评估。实验研究了不同类型组织的组织学制备,不使用对比医学染料染色。为了评估该分类方法的可靠性,对所研究的样品进行染色,并与标准方法进行比较。
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引用次数: 0
Study of astigmatic transformation of Legendre polynomial beams 勒让德多项式光束的像散变换研究
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139090
L.V. Khismatullina
In this paper, the properties of the astigmatic transformation of two polynomial beams are studied on the basis of numerical modeling using the Fresnel transformation.
本文在菲涅耳变换数值模拟的基础上,研究了两种多项式光束的像散变换特性。
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引用次数: 0
The Study of Spatiotemporal Scaling Features and Correlations in Complex Biomedical Data 复杂生物医学数据的时空尺度特征及相关性研究
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139067
S. Demin, V. Yunusov, A. Elenev, A. Minkin, Dmitry Averkiev
In this research, we demonstrate the capabilities of the normalized range method (R/S analysis) in the study of fractal patterns in biomedical data of complex living systems. The paper presents the basic mathematical relationships for the computer implementation of fast and slow (with averaging) algorithms for calculating the Hurst exponent. In case of a complex image of the resulting logarithmic curve, a piecewise linear approximation is proposed for calculating the generalized value of the Hurst exponent. The analysis of self-similar properties in separate sections of the time evolution of living systems is performed using the localization procedure. The capabilities of the proposed algorithms were demonstrated by analyzing the scaling features of the time dynamics of the tremor velocity in Parkinson's disease, the bioelectrical activity of the brain of patients with epilepsy. The results can be used in computational biophysics and physics of complex systems to search for diagnostic criteria for neurological and neurodegenerative diseases, as well as to study the processes of biological aging and changes in the "physiological complexity" of the human body.
在本研究中,我们展示了归一化极差方法(R/S分析)在复杂生命系统生物医学数据分形模式研究中的能力。本文给出了计算赫斯特指数的快速和慢速(带平均)算法在计算机上实现的基本数学关系。在得到复象对数曲线的情况下,提出了分段线性逼近法来计算赫斯特指数的广义值。在生命系统的时间演化的不同部分的自相似性质的分析进行了使用定位程序。通过分析帕金森病震颤速度时间动态的尺度特征和癫痫患者大脑的生物电活动,证明了所提算法的能力。研究结果可用于计算生物物理学和复杂系统物理学,以寻找神经和神经退行性疾病的诊断标准,以及研究生物老化过程和人体“生理复杂性”的变化。
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引用次数: 0
Characteristics of a four-wave radiation converter in a multimode waveguide with resonant nonlinearity 谐振非线性多模波导中四波辐射变换器的特性
Pub Date : 2023-04-17 DOI: 10.1109/ITNT57377.2023.10139099
V. V. Ivakhnik, E. Vorobeva, D. R. Kapizov
Quality of the wavefront reversal by a four-wave radiation converter in a parabolic waveguide with resonant nonlinearity have been analyzed using the point spread function. Medium with resonant nonlinearity have been modeled by an ensemble of particles described by a two-level energy scheme. It has been shown that over time, the half-width of the point spread function module decreases, reaching a stationary value, the magnitude of which is determined by the first pump wave intensity in the case of a long waveguide. A decrease in the pump radius at low intensity of the first pump wave leads to a decrease in the half-width of the point spread function modulus (the quality of the wavefront reversal improves), and at high intensity leads to an increase in the half-width of the point spread function modulus (the quality of the wavefront reversal deteriorates) in the stationary case with distribution on the back waveguide face depending on the transverse coordinate of the second pump wave amplitude of the according to the Gaussian law.
利用点扩展函数分析了四波辐射变换器在谐振非线性抛物波导中的波前反转质量。用双能级能量格式描述粒子系综,对具有共振非线性的介质进行了建模。结果表明,随着时间的推移,点扩展函数模块的半宽度减小,达到一个平稳值,其大小由长波导情况下的第一泵浦波强度决定。在第一泵浦波强度较低时,泵浦半径的减小导致点扩散函数模量的半宽度减小(波前反转质量提高);在平稳情况下,点扩散函数模量的半宽度增大(波前反转的质量变差),分布在后波导面上,根据高斯定律依赖于第二泵浦波幅值的横向坐标。
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2023 IX International Conference on Information Technology and Nanotechnology (ITNT)
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