Beam-colored Sketch and Image-based 3D Continuous Wireframe Reconstruction with different Materials and Cross-Sections

The automated reverse engineering of wireframes is a common task in topology optimization, fast concept design, bionic and point cloud reconstruction. This article deals with the usage of skeleton-based reconstruction of sketches in 2D images. The result leads to a flexible at least C₁ continuous shape description

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Optical coherence tomography angiography (OCTA) can non-invasively image the eye's circulatory system. In order to reliably characterize the retinal vasculature, there is a need to automatically extract quantitative metrics from these images. The calculation of such biomarkers requires a precise semantic segmentation of the blood vessels. However, deep-learning-based methods for segmentation mostly rely on supervised training with voxel-level annotations, which are costly to obtain. In this work, we present a pipeline to synthesize large amounts of realistic OCTA images with intrinsically matching ground truth labels; thereby obviating the need for manual annotation of training data. Our proposed method is based on two novel components: 1) a physiology-based simulation that models the various retinal vascular plexuses and 2) a suite of physics-based image augmentations that emulate the OCTA image acquisition process including typical artifacts. In extensive benchmarking experiments, we demonstrate the utility of our synthetic data by successfully training retinal vessel segmentation algorithms. Encouraged by our method's competitive quantitative and superior qualitative performance, we believe that it constitutes a versatile tool to advance the quantitative analysis of OCTA images

Оценивание показателей качества и добавочных потерь электроэнергии в распределительных сетях по результатам ограниченного объема инструментальных измерений

Объектом исследования являются кабельные и воздушные линии напряжением 110 кВ. Цель работы – разработка математической модели, для определения частотных характеристик входного сопротивления кабельных и воздушных линий электропередачи.The object of the study are cable and air lines with a voltage of 110 kV. The purpose of the work is the development of a mathematical model for determining the frequency characteristics of the input resistance of cable and overhead transmission lines

Physiology-based simulation of the retinal vasculature enables annotation-free segmentation of OCT angiographs

Optical coherence tomography angiography (OCTA) can non-invasively image the eye's circulatory system. In order to reliably characterize the retinal vasculature, there is a need to automatically extract quantitative metrics from these images. The calculation of such biomarkers requires a precise semantic segmentation of the blood vessels. However, deep-learning-based methods for segmentation mostly rely on supervised training with voxel-level annotations, which are costly to obtain. In this work, we present a pipeline to synthesize large amounts of realistic OCTA images with intrinsically matching ground truth labels; thereby obviating the need for manual annotation of training data. Our proposed method is based on two novel components: 1) a physiology-based simulation that models the various retinal vascular plexuses and 2) a suite of physics-based image augmentations that emulate the OCTA image acquisition process including typical artifacts. In extensive benchmarking experiments, we demonstrate the utility of our synthetic data by successfully training retinal vessel segmentation algorithms. Encouraged by our method's competitive quantitative and superior qualitative performance, we believe that it constitutes a versatile tool to advance the quantitative analysis of OCTA images.Comment: Accepted at MICCAI 202

Модернизация автоматизированной системы управления блока сепарации на установке комплексной подготовки газа

Объектом исследования является автоматизированная система управления "Блока сепарации на установке комплексной подготовки газа (УКПГ)". Целью выпускной квалификационной работы является модернизация автоматизированной системы управления "Блока сепарации на установке комплексной подготовки газа (УКПГ)", с использованием ПЛК, на основе выбранной SCADA-системы. В данном проекте была разработана система контроля и управления технологическим процессом на базе промышленных контроллеров ПЛК Schneider - Electric, с применением подобранной SCADA-системой.The object of the study is an automated control system of "separation Unit at the complex gas treatment plant (gtup)". The purpose of the final qualifying work is to upgrade the automated control system of the " separation Unit at the complex gas treatment plant (GTU)", using a PLC based on the selected SCADA-system. In this project, a process control system was developed on the basis of industrial controllers PLC Schneider - Electric, using a selected SCADA-system

A skeletonization algorithm for gradient-based optimization

The skeleton of a digital image is a compact representation of its topology, geometry, and scale. It has utility in many computer vision applications, such as image description, segmentation, and registration. However, skeletonization has only seen limited use in contemporary deep learning solutions. Most existing skeletonization algorithms are not differentiable, making it impossible to integrate them with gradient-based optimization. Compatible algorithms based on morphological operations and neural networks have been proposed, but their results often deviate from the geometry and topology of the true medial axis. This work introduces the first three-dimensional skeletonization algorithm that is both compatible with gradient-based optimization and preserves an object's topology. Our method is exclusively based on matrix additions and multiplications, convolutional operations, basic non-linear functions, and sampling from a uniform probability distribution, allowing it to be easily implemented in any major deep learning library. In benchmarking experiments, we prove the advantages of our skeletonization algorithm compared to non-differentiable, morphological, and neural-network-based baselines. Finally, we demonstrate the utility of our algorithm by integrating it with two medical image processing applications that use gradient-based optimization: deep-learning-based blood vessel segmentation, and multimodal registration of the mandible in computed tomography and magnetic resonance images.Comment: Accepted at ICCV 202

Детальные геофизические работы с целью поисков меди и железа в провинции Юньнань (Китайская народная республика)

Реферат Выпускная квалификационная работа 106 с., 31 рис., 17 табл., 41 источников, прил. нет Ключевые слова: Китай, провинция Юньнань, железные руды, медные руды, электроразведка, магниторазведка, методика работ, интерпретация результатов. Объектом исследования является: перспективный участок «Е», расположенный в пределах провинции Юньнань в Китайской народной республике. Цель работы – поиски железных и медных руд и оценка перспектив участка Пипин на железные и медные руды. В процессе исследования проводились: выбор участка обоснования, анализ геолого-геофизической изученности района, изучение его геологического строения, анализ результатов ранее проведённых геофизических исследований на участке обоснования Маньхамбо и проектном участке Пипин . В результате исследования: выполнен проеAbstract Final qualifying work: 106 c, 31 rice, 17 Table, 41 sources, no adj. Keywords : China, Yunnan Province, iron ore, copper ore, electromagnetics, magnetic, methods of work, the interpretation of results. The object of the research is: promising area "E", located within the Yunnan Province in the People's Republic of China. The purpose of the work - the search for iron and copper ores and evaluation Pepin area prospects for iron and copper ores. The study was conducted with the choice of study area, analysis of geological and geophysical knowledge of the area, the study of its geological structure, the analysis of the results of previously conducted geophysical research in the area Manhambo study and project site Pepin. As a result of the study: the project is executed to carr

Agile Entwicklung physischer Produkte 2023: Eine Studie zum aktuellen Stand in der industriellen Praxis

In der Entwicklung von mechatronischen Produkten nimmt die agile Entwicklung bereits seit einigen Jahren eine zunehmend wichtigere Rolle ein. Im Rahmen dieser Studienserie wird seit 2018 das Fortschreiten der Agilität in der DACH-Region untersucht. In der vorliegenden Ausgabe des Jahres 2023 liegt der Fokus dem Verständnis und der Anwendung agiler Arbeitsweisen, den Herausforderungen in deren Skalierung und der Bedeutung von Prototyping im genannten Kontext. Die Ergebnisse dieser Studie beruhen, wie auch in den vorangegangenen Jahren, auf den Aussagen von Praktikern aus einem breiten Spektrum an Industrieunternehmen, die an einer Online-Umfrage teilgenommen haben. Die Studie beschreibt sowohl quantitative als auch qualitative Ergebnisse aus der industriellen Praxis