Thematische Bibliographien / RGB-Z

Auswahl der wissenschaftlichen Literatur zum Thema „RGB-Z“

Autor: Grafiati

Veröffentlicht am 25. Mai 2024

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Zeitschriftenartikel zum Thema "RGB-Z"

Jiao, Yuzhong, Kayton Wai Keung Cheung, Mark Ping Chan Mok und Yiu Kei Li. „Spatial Distance-based Interpolation Algorithm for Computer Generated 2D+Z Images“. Electronic Imaging 2020, Nr. 2 (26.01.2020): 140–1. http://dx.doi.org/10.2352/issn.2470-1173.2020.2.sda-140.

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Computer generated 2D plus Depth (2D+Z) images are common input data for 3D display with depth image-based rendering (DIBR) technique. Due to their simplicity, linear interpolation methods are usually used to convert low-resolution images into high-resolution images for not only depth maps but also 2D RGB images. However linear methods suffer from zigzag artifacts in both depth map and RGB images, which severely affects the 3D visual experience. In this paper, spatial distance-based interpolation algorithm for computer generated 2D+Z images is proposed. The method interpolates RGB images with the help of depth and edge information from depth maps. Spatial distance from interpolated pixel to surrounding available pixels is utilized to obtain the weight factors of surrounding pixels. Experiment results show that such spatial distance-based interpolation can achieve sharp edges and less artifacts for 2D RGB images. Naturally, it can improve the performance of 3D display. Since bilinear interpolation is used in homogenous areas, the proposed algorithm keeps low computational complexity.

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Wyczechowski, Marcin, Łukasz Wąs und Łukasz Pietrzak. „ANALIZA ZMIAN CHORÓB SKÓRNYCH PRZY POMOCY ODWZOROWAŃ PRZESTRZENI BARW“. Informatics Control Measurement in Economy and Environment Protection 7, Nr. 3 (30.09.2017): 68–71. http://dx.doi.org/10.5604/01.3001.0010.5219.

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Głównym celem artykułu jest analiza zmian dermatologicznych skóry w oparciu o analizę modelu przestrzeni barw, z których autorzy są w stanie wydobyć informacje przydatne dla systemu ekspertowego. W artykule autorzy badają zdjęcia zmiana skórnych wprowadzając autorski algorytm ekstrakcji cech używając zmodyfikowanej analizy przestrzeni barw. Autorzy również skupią się nad analizą zdjęcia uwzględniając model przestrzeni kolorów taki jak RGB oraz YCbCr z wyżej wymienionych modeli autorzy ekstrahują kolejne składowe przenosząc reprezentacje danej składowej na inną. Autorzy skupiają się na skali YCbCr, gdyż niesie ona ze sobą informację inaczej skonstruowaną o konkretnym obrazie aniżeli jego odpowiednik w RGB.

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Xu, Chi, Jun Zhou, Wendi Cai, Yunkai Jiang, Yongbo Li und Yi Liu. „Robust 3D Hand Detection from a Single RGB-D Image in Unconstrained Environments“. Sensors 20, Nr. 21 (07.11.2020): 6360. http://dx.doi.org/10.3390/s20216360.

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Three-dimensional hand detection from a single RGB-D image is an important technology which supports many useful applications. Practically, it is challenging to robustly detect human hands in unconstrained environments because the RGB-D channels can be affected by many uncontrollable factors, such as light changes. To tackle this problem, we propose a 3D hand detection approach which improves the robustness and accuracy by adaptively fusing the complementary features extracted from the RGB-D channels. Using the fused RGB-D feature, the 2D bounding boxes of hands are detected first, and then the 3D locations along the z-axis are estimated through a cascaded network. Furthermore, we represent a challenging RGB-D hand detection dataset collected in unconstrained environments. Different from previous works which primarily rely on either the RGB or D channel, we adaptively fuse the RGB-D channels for hand detection. Specifically, evaluation results show that the D-channel is crucial for hand detection in unconstrained environments. Our RGB-D fusion-based approach significantly improves the hand detection accuracy from 69.1 to 74.1 comparing to one of the most state-of-the-art RGB-based hand detectors. The existing RGB- or D-based methods are unstable in unseen lighting conditions: in dark conditions, the accuracy of the RGB-based method significantly drops to 48.9, and in back-light conditions, the accuracy of the D-based method dramatically drops to 28.3. Compared with these methods, our RGB-D fusion based approach is much more robust without accuracy degrading, and our detection results are 62.5 and 65.9, respectively, in these two extreme lighting conditions for accuracy.

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Vieira, Katherine, Giovanni Carraro, Vladimir Korchagin, Artem Lutsenko, Terrence M. Girard und William van Altena. „Milky Way Thin and Thick Disk Kinematics with Gaia EDR3 and RAVE DR5“. Astrophysical Journal 932, Nr. 1 (01.06.2022): 28. http://dx.doi.org/10.3847/1538-4357/ac6b9b.

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Abstract We present a detailed analysis of kinematics of the Milky Way disk in the solar neighborhood using the Gaia DR3 catalog. To determine the local kinematics of the stellar disks of the Milky Way we use a complete sample of 278,228 red giant branch (RGB) stars distributed in a cylinder, centered at the Sun with a 1 kpc radius and half-height of 0.5 kpc. We determine separately the kinematical properties of RGB stars for each Galactic hemisphere in search of possible asymmetries. The kinematical properties of the RGB stars reveal the existence of two kinematically distinct components: the thin disk with mean velocities V R , V ϕ , V Z of about −1, −239, 0 km s−1, correspondingly, and velocity dispersions σ R , σ ϕ , σ Z of 31, 20, and 11 km s−1, and the Thick disk with mean velocity components of about +1, −225, 0 km s−1, and velocity dispersions of 49, 35, and 22 km s−1. We find that up to 500 pc in height above/below the Galactic plane, Thick disk stars comprise about half the stars of the disk. Such a high amount of RGB stars with Thick disk kinematics points at the secular evolution scenario origin for the Thick disk of the Milky Way.

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Yeom, Junho, Jinha Jung, Anjin Chang, Akash Ashapure, Murilo Maeda, Andrea Maeda und Juan Landivar. „Comparison of Vegetation Indices Derived from UAV Data for Differentiation of Tillage Effects in Agriculture“. Remote Sensing 11, Nr. 13 (29.06.2019): 1548. http://dx.doi.org/10.3390/rs11131548.

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Unmanned aerial vehicle (UAV) platforms with sensors covering the red-edge and near-infrared (NIR) bands to measure vegetation indices (VIs) have been recently introduced in agriculture research. Consequently, VIs originally developed for traditional airborne and spaceborne sensors have become applicable to UAV systems. In this study, we investigated the difference in tillage treatments for cotton and sorghum using various RGB and NIR VIs. Minimized tillage has been known to increase farm sustainability and potentially optimize productivity over time; however, repeated tillage is the most commonly-adopted management practice in agriculture. To this day, quantitative comparisons of plant growth patterns between conventional tillage (CT) and no tillage (NT) fields are often inconsistent. In this study, high-resolution and multi-temporal UAV data were used for the analysis of tillage effects on plant health and the performance of various vegetation indices investigated. Time series data over ten dates were acquired on a weekly basis by RGB and multispectral (MS) UAV platforms: a DJI Phantom 4 Pro and a DJI Matrice 100 with the SlantRange 3p sensor. Ground reflectance panels and an ambient illumination sensor were used for the radiometric calibration of RGB and MS orthomosaic images, respectively. Various RGB and NIR-based vegetation indices were then calculated for the comparison between CT and NT treatments. In addition, a one-tailed Z-test was conducted to check the significance of VIs’ difference between CT and NT treatments. The results showed distinct differences in VIs between tillage treatments during the whole growing season. NIR-based VIs showed better discrimination performance than RGB-based VIs. Out of 13 VIs, the modified soil adjusted vegetation index (MSAVI) and optimized soil adjusted vegetation index (OSAVI) showed better performance in terms of quantitative difference measurements and the Z-test between tillage treatments. The modified green red vegetation index (MGRVI) and excess green (ExG) showed reliable separability and can be an alternative for economic RGB UAV application.

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Yuan, Wenan, Sai Raghavendra Prasad Poosa und Rutger Francisco Dirks. „Comparative Analysis of Color Space and Channel, Detector, and Descriptor for Feature-Based Image Registration“. Journal of Imaging 10, Nr. 5 (28.04.2024): 105. http://dx.doi.org/10.3390/jimaging10050105.

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The current study aimed to quantify the value of color spaces and channels as a potential superior replacement for standard grayscale images, as well as the relative performance of open-source detectors and descriptors for general feature-based image registration purposes, based on a large benchmark dataset. The public dataset UDIS-D, with 1106 diverse image pairs, was selected. In total, 21 color spaces or channels including RGB, XYZ, Y′CrCb, HLS, L*a*b* and their corresponding channels in addition to grayscale, nine feature detectors including AKAZE, BRISK, CSE, FAST, HL, KAZE, ORB, SIFT, and TBMR, and 11 feature descriptors including AKAZE, BB, BRIEF, BRISK, DAISY, FREAK, KAZE, LATCH, ORB, SIFT, and VGG were evaluated according to reprojection error (RE), root mean square error (RMSE), structural similarity index measure (SSIM), registration failure rate, and feature number, based on 1,950,984 image registrations. No meaningful benefits from color space or channel were observed, although XYZ, RGB color space and L* color channel were able to outperform grayscale by a very minor margin. Per the dataset, the best-performing color space or channel, detector, and descriptor were XYZ/RGB, SIFT/FAST, and AKAZE. The most robust color space or channel, detector, and descriptor were L*a*b*, TBMR, and VGG. The color channel, detector, and descriptor with the most initial detector features and final homography features were Z/L*, FAST, and KAZE. In terms of the best overall unfailing combinations, XYZ/RGB+SIFT/FAST+VGG/SIFT seemed to provide the highest image registration quality, while Z+FAST+VGG provided the most image features.

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Febriani, Eka Fitria, Maheno Sri Widodo und Abdul Rahem Faqih. „Phytochemical Analysis from Three Different Methanolic Extracts of Red Ginger (Zingiber officinale var. Rubrum) Against LC50 Treatment of Zebra Fish as Model Fish“. Journal of Aquaculture and Fish Health 12, Nr. 2 (27.05.2023): 179–90. http://dx.doi.org/10.20473/jafh.v12i2.36747.

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Red ginger (Zingiber officinale var. Rubrum) as one of the Indonesian spices has so many important roles, especially in the health sector as a medicinal plant, which has many active compounds including phenols, alkaloids, flavonoids, steroids and tannins. From some researches before, we can know that plants which grow in different places or locations have different tolerances generally. That statements can show that they have different content in their constituent metabolites definitely. Therefore, phytochemical analysis is needed to analyze the content of each red ginger (Z. officinale var. Rubrum) from three locations such as Red ginger (Z. officinale var. Rubrum) from Batu, Malang (RGB), Plaosan, Magetan (RGP) and Simalungun, Medan (RGS) to analyze each content its contains. Also, perform LC50 was needed for analyzing its effect on Zebra fish (Danio rerio) as a model fish. For this research, we use an experimental study with a Completely Randomized Factorial Design (CRFD) method that has two independent variable such as different dosage and type of red ginger (Z. officinale var. Rubrum). In this study, from five dosages (10 mg/l; 20 mg/l; 30 mg/l; 40 mg/l; 50 mg/l) and three types of red ginger (Z. officinale var. Rubrum) treatment, it found that the highest mortality and lowest survival rate were at the highest dosage (50 mg/l) in RGB and extreme increase or decrease in the curve is found in RGP treatment.

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Büker, Linda Christin, Finnja Zuber, Andreas Hein und Sebastian Fudickar. „HRDepthNet: Depth Image-Based Marker-Less Tracking of Body Joints“. Sensors 21, Nr. 4 (14.02.2021): 1356. http://dx.doi.org/10.3390/s21041356.

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With approaches for the detection of joint positions in color images such as HRNet and OpenPose being available, consideration of corresponding approaches for depth images is limited even though depth images have several advantages over color images like robustness to light variation or color- and texture invariance. Correspondingly, we introduce High- Resolution Depth Net (HRDepthNet)—a machine learning driven approach to detect human joints (body, head, and upper and lower extremities) in purely depth images. HRDepthNet retrains the original HRNet for depth images. Therefore, a dataset is created holding depth (and RGB) images recorded with subjects conducting the timed up and go test—an established geriatric assessment. The images were manually annotated RGB images. The training and evaluation were conducted with this dataset. For accuracy evaluation, detection of body joints was evaluated via COCO’s evaluation metrics and indicated that the resulting depth image-based model achieved better results than the HRNet trained and applied on corresponding RGB images. An additional evaluation of the position errors showed a median deviation of 1.619 cm (x-axis), 2.342 cm (y-axis) and 2.4 cm (z-axis).

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Xu, Jing Ya, Hao Xue Liu und Min Huang. „Discussion on Colorimetric Computation Method of LCD Display“. Advanced Materials Research 174 (Dezember 2010): 68–71. http://dx.doi.org/10.4028/www.scientific.net/amr.174.68.

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The display colorimetric accuracy is a key factor to ensure printing quality. The main mission for display’s color management is to compute its display color to get accurate colorimetric characterization, namely to ascertain the converting relationship between the RGB color data and their corresponding CIE X Y Z values. The related color values of EIZO, Mac and common PC displays were measured in the experiment, fitted the parameter, and computed the displayed color with gain-offset-gamma(GOG)model.Two-Primary Crosstalk (TPC) model, Piecewise Partition (PP)model. The three models were analyzed and compared with the measurement values. The model performance was assessed using 729 color samples uniformly distributed on the RGB display gamut. Compare the measured values and computed values and then find the more precise way to determine the display’s colorimetric characterization.

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Kraszewski, Bartłomiej. „Określenie wpływu jakości atrybutu RGB powiązanego z danymi naziemnego skaningu laserowego na proces segmentacji“. Bulletin of the Military University of Technology 64, Nr. 2 (30.06.2015): 111–21. http://dx.doi.org/10.5604/12345865.1157316.

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Dissertationen zum Thema "RGB-Z"

Jesus, Alicia Isolina Pretel. „Processamento e estilização de dados RGB-Z em tempo real“. reponame:Repositório Institucional da UFABC, 2014.

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Orientador: Prof. Dr. João Paulo Gois
Dissertação (mestrado) - Universidade Federal do ABC, Programa de Pós-Graduação em Ciências da computação, 2014.
O desenvolvimento tecnológico de dispositivos de captura 3D nos últimos anos permitiram que os usuários acessassem dados 3D de forma fácil e com baixo custo. Neste trabalho estamos interessados no processamento de dados de câmeras que produzem seqüências de imagens (canais RGB) e as informações de profundidade dos objetos que compõem a cena (canal Z) simultaneamente. Atualmente o dispositivo mais popular para a produção deste tipo de informação é o Microsoft Kinect, originalmente usado para rastreamento de movimentos em aplicações de jogos. A informação de profundidade, juntamente com as imagens permite a produção de muitos efeitos visuais de re-iluminação, abstração, segmentação de fundo, bem como a modelagem da geometria da cena. No entanto, o sensor de profundidade tende a gerar dados ruidosos, onde filtros multidimensionais para estabilizar os quadros de vídeo são necessários. Nesse sentido, este trabalho desenvolve e avalia um conjunto de ferramentas para o processamento de vídeos RGB-Z, desde filtros para estabilização de vídeos até efeitos gráficos (renderings não-fotorrealísticos). Para tal, um framework que captura e processa os dados RGB-Z interativamente foi proposto. A implementação deste framework explora programação em GPU com o OpenGL Shading Language (GLSL).
The technological development of 3D capture devices in recent years has enabled users to easily access 3D data easily an in a low cost. In this work we are interested in processing data from cameras that produce sequences of images (RGB-channels) and the depth information of objects that compose the scene (Z-channel) simultaneously. Currently the most popular device for producing this type of information is the Microsoft Kinect, originally used for tracking movements in game applications. The depth information coupled with the images allow the production of many visual eects of relighting, abstraction, background segmentation as well as geometry modeling from the scene. However, the depth sensor tends to generate noisy data, where multidimensional filters to stabilize the frames of the video are required. In that sense this work developed and evaluated a set of tools for video processing in RGB-Z, from filters to video stabilization to the graphical eects (based on non-photorealistic rendering). To this aim, an interactive framework that captures and processes RGB-Z data interactively was presented. The implementation of this framework explores GPU programming with OpenGL Shading Language (GLSL).

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Růžička, Miloslav. „Rozpoznání kódu z kontrolního obrázku“. Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2009. http://www.nusl.cz/ntk/nusl-236702.

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Work deals with code detection from control image. The document presents relevant image processing techniques dealing with a noise reduction, thresholding, color models, object segmentation and OCR. This project examines advantages and disadvantages of two selected methods for object segmentation and introduces developed system for object segmentation. The developed system for object segmentation and classification is realized, evaluated and results are discussed in details.

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Bücher zum Thema "RGB-Z"

a to Z of RGB: The Incredible Life of Ruth Bader Ginsburg. Smith Street Books, 2022.

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Akiyama, Tetsu. Qїrghїz Baatïr and the Russian Empire: A Portrait of a Local Intermediary in Russian Central Asia. BRILL, 2021.

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Kondrad, Kelsey Lynn. Address Book: Toỵ Storỵ Zụrg Behind Bụzz Lightỵear Telephone and Contact Address Book with Alphabetical Tabs. Small Size 6x9 Organizer and Notes with a-Z Index for Women Men. Independently Published, 2022.

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Kondrad, Kelsey Lynn. Password Book: Toỵ Storỵ Zụrg Behind Bụzz Lightỵear Password Organizer with Alphabetical Tabs. Internet Login, Web Address and Usernames Keeper Journal Logbook for Home or Office. Independently Published, 2022.

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CLARK, Mary. Superfood Soups Cookbook: Dеlісіоuѕ, enеrgіzіng and Plаnt-Bаѕеd Rесіреѕ for Boosted Energy, Brighter Skin and Better Health. Independently Published, 2021.

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Buchteile zum Thema "RGB-Z"

Pérez Méndez, Mercedes, José Fayos Alcañiz und Marc Meunier. „Molecular Simulation of Cholesteric Liquid-Crystal Polyesteramides: Conformational and Structure Analysis by Rietveld Refinement“. In Liquid Crystals [Working Title]. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.100388.

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Molecular modeling techniques are applied to polyesteramides designed as PNOBDME (C34H38N2O6)n and PNOBEE (C26H22N2O6)n, synthesized and characterized as cholesteric liquid crystals -through the condensation reaction between 4 and 4′-(terephthaloyl- diaminedibenzoic chloride (NOBC) and racemic glycol: DL-1,2 dodecanediol, or DL-1,2-butanediol, respectively, being chemical modifications of precursor multifunctional cholesteric LC polyesters, adding new properties but holding their helical macromolecular structures. Although the starting raw materials were racemic, these cholesteric LC polymers exhibit unexpected optical activity and chiral morphology. For that reason, conformational analysis is studied on the monomer models of PNOBDME and PNOBEE. Four helical conformers models, experimentally observed by NMR, are proposed for each cholesteric polyesteramide: Rgg, Rgt, Sgg, Sgt. Polymerization of the monomeric conformers, with minima energies, have been simulated and used to reproduce the crystalline fraction observed by x-ray diffraction. Three orders of chirality are observed in the structure of the polymer chains: One due to the asymmetric carbon atoms, a second chirality due to the two successive rotations of the benzene groups, along the main chain, within the monomer which implies the formation of helical molecules, for both R and S chirality and still, a third chirality corresponding to the twisting of the rigid/semirigid cholesteric LC polymer chains. All these factors contributing to the net optical activity observed in these materials. Crystal packing is simulated in triclinic primitive P1cells, with molecular chains oriented parallel to the z-axis (c lattice parameter equal to the pitch length of each simulated polymer helix) and parameters a, b, α, β and γ, obtained by Pawley refinement from the known structures of precursor polyesters. The simulated x-ray diffraction patterns of the proposed crystal models fit, after successive Pawley and Rietveld refinement cycles, the experimental WAXS. Powder Quantitative Phase Analysis applied to an ideal mixture with the four possible helical conformers, for each degree of polymerization, allows to refine their relative weight and determine the major phase relative amount. These results would confirm the theory of a preferable recrystallization, among the four possible helical diastereoisomers, depending on the synthetic conditions.

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Doraiswamy, L. K. „Estimation of Properties of Organic Compounds“. In Organic Synthesis Engineering. Oxford University Press, 2001. http://dx.doi.org/10.1093/oso/9780195096897.003.0008.

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A primary requirement of any reactor design or process development computation is knowledge of the major properties of the compounds involved. Although most of these can be obtained from the literature, there is still a need to estimate them from correlations. The main difficulty is the large number of correlations proposed for a given property and the need to select the best from among them. No single correlation works with equally high precision under all conditions. On the other hand, correlations that can be used with acceptable levels of precision over a wide range of conditions are also available for a number of properties. The slight sacrifice of accuracy is often more than compensated for by the ease and generality of application of these methods. Our emphasis here will be on such correlations. For a detailed treatment, reference should be made to books devoted exclusively to properties estimation. The book by Reid, Prausnitz, and Poling (1987), along with its earlier versions by Reid and Sherwood (1958, 1966) and Reid, Prausnitz, and Sherwood (1977), and the works of Janz (1958), Hansch and Leo (1979), and Lyman, Reehl, and Rosenblatt (1982) are noteworthy. The following methods selected for a few properties are based in part on the recommendations contained in these treatises. The two most important bases for formulating correlations for estimating the properties of organic compounds (indeed of any compound) are the law of corresponding states (LCS), and the method of group contributions (GC). LCS is based on the concept that all substances exhibit identical properties under conditions equally removed from their critical states. The “equally removed” state for any property is usually expressed as the ratio of its value at that state to the value at the critical state and is referred to as the reduced property. Thus Tr — T/TC, Pr = P/PC, Vr = V/Vc and ηr = η/ ηc are the reduced temperature, pressure, volume, and viscosity, respectively. If the simple ideal gas law PV/RgT — Z, where Z is the compressibility, can be recast in terms of reduced properties as PrVt/RgTr = Z/ZC, then the PVT behavior of all fluids can be represented as Pr versus Tr plots for different values of Zr.

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„Productivity, international competitiveness and technology policy in Latin America J O RG E K AT Z“. In Linking Local and Global Economies, 89–96. Routledge, 2003. http://dx.doi.org/10.4324/9780203987377-16.

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Konferenzberichte zum Thema "RGB-Z"

Hach, Thomas, und Johannes Steurer. „A novel RGB-Z camera for high-quality motion picture applications“. In the 10th European Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2534008.2534020.

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Chuchvara, Aleksandra, Mihail Georgiev und Atanas Gotchev. „A speed-optimized RGB-Z capture system with improved denoising capabilities“. In IS&T/SPIE Electronic Imaging, herausgegeben von Karen O. Egiazarian, Sos S. Agaian und Atanas P. Gotchev. SPIE, 2014. http://dx.doi.org/10.1117/12.2048564.

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Park, Jun-Hee, Tai-Young Kang, Tae-Ho Lim und Han-Young Lee. „Simultaneous RGB light emission using second harmonic generation in z-cut MgO: Periodically-poled LiNbO3 ridge waveguide“. In 2012 Opto-Electronics and Communications Conference (OECC). IEEE, 2012. http://dx.doi.org/10.1109/oecc.2012.6276775.

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Sorokin, Maxim Igorevich, Dmitri Dmitrievich Zhdanov und Andrei Dmitrievich Zhdanov. „Method for Constructing a Digital Analogue of a Real World Environment Using Neural Networks“. In 32nd International Conference on Computer Graphics and Vision. Keldysh Institute of Applied Mathematics, 2022. http://dx.doi.org/10.20948/graphicon-2022-87-98.

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The problem of forming natural lighting conditions for virtual objects and interaction between real and virtual objects is not yet solved. The main goal of this study is to investigate the possibility of eliminating the causes of the mixed reality visual perception conflicts by replacing real-world objects with their virtual counterparts. The main idea is to transfer all of the real-world objects into a virtual environment. This solution transforms the mixed reality system into a virtual reality system and ensures the correct physical and light interaction between objects of different worlds. This will open up new possibilities for mixed reality systems, e.g., illuminating a dark room with a virtual light source, or seeing the reflection of virtual objects in a real mirror. This paper presents an algorithm that uses machine learning tools and neural network technologies along with RGB-D sensors and a Z-buffer to obtain a real-world point cloud. This approach allows not only to select scene items but also to determine their position and size. The PointNet network architecture trained on the ScanNet dataset was used to annotate and segment scene data. The "Total3D understanding" network was used to build a triangular grid. Finally, a real-world room reconstruction system was implemented using RGB images and point clouds as input parameters. An example of the reconstruction of a simple room interior and reconstruction quality assessment is presented.

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Manohar, Gautam, und Conrad Tucker. „A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats“. In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13155.

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This paper proposes a privacy preserving data mining driven methodology for predicting emerging human threats in a public space by capturing large scale, real time body movement data (spatial data represented in X, Y, Z coordinate space) using Red-Green-Blue (RGB) image, infrared depth and skeletal image sensing technology. Unlike traditional passive surveillance systems (e.g., CCTV video surveillance systems), multimodal surveillance technologies have the ability to capture multiple data streams in a real time dynamic manner. However, mathematical models based on machine learning principles are needed to convert the large-scale data into knowledge to serve as a decision support system for autonomously predicting emerging threats, rather than just recording and observing them as they occur. To this end, the authors of this work present a privacy preserving data mining driven methodology that captures emergent behavior of individuals in a public space and classifies them as a threat or not a threat, based on the underlying body movements through space and time. An audience in a public environment is presented as the case study for this paper with the aim of classifying individuals in the audience as threats (or not), based on their temporal body behavior profiles.

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Sreeja, V. G., und E. I. Anila. „Z-scan measurement for nonlinear absorption property of rGO/ZnO:Al thin film“. In DAE SOLID STATE PHYSICS SYMPOSIUM 2017. Author(s), 2018. http://dx.doi.org/10.1063/1.5028841.

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Manikantachari, K. R. V., Scott Martin, Jose O. Bobren-Diaz und Subith Vasu. „Thermal Properties for the Simulation of Direct-Fired sCO2 Combustor“. In ASME Turbo Expo 2017: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gt2017-63311.

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The direct-fired supercritical CO2 (sCO2) cycle is currently considered as a zero-emission power generation concept. It is of interest to know how to optimize various components of this cycle using computational tools, however, a comprehensive effort on this area is currently lacking. In this work, the behavior of thermal properties of sCO2 combustion at various reaction stages has been investigated by coupling real gas CHEMKIN (CHEMKIN-RG) with an in-house Premixed Conditional Moment Closure (PCMC) code and the high pressure Aramco-2.0 kinetic mechanism. Also, the necessary fundamental information for sCO2 combustion modelling is reviewed. The Soave-Redlich-Kwong equation of state (SRK EOS) is identified as the most accurate EOS to predict the thermal states at all turbulence levels. Also, an empirical model for the compression factor Z is proposed for sCO2 combustors, which is a function of mixture inlet conditions and the reaction progress variable. This empirical model is validated between the operating conditions 250–300 bar, inlet temperatures of 800–1200 K and within the current designed inlet mole fractions and the accuracy is estimated to be less than 0.5% different from the exact relation. For sCO2 operating conditions the compression factor Z always decreases as the reaction progresses and this leads to the static pressure loss between inlet and exit of the sCO2 combustor. Further, a review of high pressure viscosity and thermal conductivity models of mixtures and pure-components are presented from the literature and suggestions are made for their adoptability in sCO2 combustor simulations. The thermal properties such as specific heats, speed of sound, pressure exponent and isothermal compressibility are accurately quantified.

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Силкина, М. И., А. Н. Каукова, О. А. Васюткова und Н. А. Белякова. „КЛИНИЧЕСКИЙ СЛУЧАЙ РАКА ПАРАЩИТОВИДНОЙ ЖЕЛЕЗЫ У ПАЦИЕНТКИ МОЛОДОГО ВОЗРАСТА“. In X (XXIX) НАЦИОНАЛЬНЫЙ КОНГРЕСС ЭНДОКРИНОЛОГОВ с международным участием «Персонализированная медицина и практическое здравоохранение». ФГБУ «НМИЦ эндокринологии» Минздрава России, 2023. http://dx.doi.org/10.14341/cong23-26.05.23-247.

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Первичный гиперпаратиреоз (ПГПТ) проявляется многосимптомной клинической картиной, вовлекающей в процесс различные органы и системы, что приводит к снижению качества жизни пациентов и высокому риску преждевременной смерти. МАТЕРИАЛЫ И МЕТОДЫ: в клинику обратилась пациентка З., 31 года, с жалобами на слабость, боли в костях, суставах, позвоночнике. С 2019г. наблюдается по поводу многоузлового эутиреоидного зоба. Кальцитонин 2,0 пг/мл (норма до 11,5 пг/мл). Проводилась тонкоигольная аспирационная биопсия (ТАБ) – подозрение на фолликулярную аденому, Bethesda III, при пересмотре цитологического материла в онкодиспансере диагноз был снят. Далее регулярно проходила УЗИ щитовидной железы (ЩЖ), суммарный V=6,3-6,6 см3 , узел правой доли с частично загрудинным расположением 23*11 мм. Затем около года не наблюдалась в связи с беременностью. Апрель 2021г. на УЗИ ЩЖ – V=7,3 см3 , справа в нижнем сегменте частично загрудинный гипоэхогенный узел с четкими ровными контурами 27*11*14 мм с гиперэхогенной центральной зоной (аденома ОЩЖ?). В июне 2022г: ТТГ 1,77 мМЕ/л (0,4-4,0), кальцитонин менее 0,5 пг/мл, ПТГ 236,6 пг/мл (12-88), Са++ 1,56 мМ (1,05-1,3), фосфор 0,69 (0,74-1,52), 25-ОН-вит.Д 16,86 нг/мл, щелочная фосфатаза 99 Ед/л (35-105), креатинин 65 мкМ (50-98). После приема колекальциферола 7000 МЕ/сут в течение 8 недель - 25-ОН-вит.Д 47,85 нг/мл (норма), ПТГ 224 пг/мл, Са++ 1,43 мМ. КТ мягких тканей шеи – по задней поверхности правой доли ЩЖ фрагмент мягкотканной плотности 32,4*8,4 мм с жидкостным включением (ОЩЖ?). ТАБ со смывом на ПТГ – в пунктате клетки, характерные для паратиромы, уровень ПТГ в смыве выше максимального. Rg остеоденситометрия – в поясничном отделе позвоночника и шейке бедра Z-критерий -2,6 SD. Сцинтиграфия паращитовидных желез с 99-mTc (ФГБУ НМИЦ эндокринологии) - аденома правой нижней ОЩЖ. По данным секвенирования по Сэнгеру – патогенных вариантов, объясняющих причину на молекулярно-генетическом уровне, не обнаружено. Переломов не было, рост не уменьшился (153 см/40 кг). Гинекологический анамнез без особенностей. В анамнезе мочекаменная болезнь, хронический пиелонефрит. Наследственность отягощена по узловому зобу. Таким образом, пациентке был установлен диагноз (МКБ-10: Е21.0): Первичный гиперпаратиреоз, костно-висцеральная форма. Аденома правой нижней ОЩЖ. Снижение минеральной плотности костной ткани ниже возрастной нормы (Z-критерий -2,6), без патологических переломов. Мочекаменная болезнь. Дефицит витамина Д, медикаментозно компенсированный. Пациентка направлена на оперативное лечение. 05.09.2022г. выполнена правосторонняя гемитиреоидэктомия, удаление опухоли ОЩЖ справа. Базальный уровень ПТГ 139,1 пг/мл, через 15 мин после операции – 24,23 пг/мл. Гистология: карцинома ОЩЖ рТ1 (AJCC 8th) с инвазией сосудов капсулы, без роста в прилежащую ткань ЩЖ, ткань ЩЖ без признаков опухолевого роста. При выписке: ПТГ 6,77 пг/мл, Са общий 2,64 мМ, Са ++ 1,25 мМ, ТТГ 1,8 мМЕ/л – норма. Судорожный синдром не беспокоил. ВЫВОДЫ: рак ОЩЖ - редкая патология, относящаяся к медленно прогрессирующим опухолям, и часто диагноз удается установить спустя годы от начала заболевания в случае рецидива или на стадии метастазирования. В данном клиническом примере описан случай успешной диагностики и своевременного оперативного лечения рака ОЩЖ.

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