Although red giants deplete lithium on their surfaces, some giants are Li-rich. Intermediate-mass asymptotic giant branch (AGB) stars can generate Li through the Cameron–Fowler conveyor, but the existence of Li-rich, low-mass red giant branch (RGB) stars is puzzling. Globular clusters are the best sites to examine this phenomenon because it is straightforward to determine membership in the clus...

In this paper, we propose a correlated and individual multi-modal deep learning (CIMDL) method for RGB-D object recognition. Unlike most conventional RGB-D object recognition methods which extract features from the RGB and depth channels individually, our CIMDL jointly learns feature representations from raw RGB-D data with a pair of deep neural networks, so that the sharable and modalspecific ...

برای دستیابی به مزیت رقابتی در شرایط عدم‌­اطمینان که آن تغییر ضروری است، یکی از چالش‌های بزرگ سازمان‌ها کاهش ریسک طریق ایجاد زنجیره‌های تأمین تاب‌آور است. تاب‌آوری زنجیره ‌تأمین توانایی مقابله با اختلال اشاره دارد یک رویداد غیرقابل‌پیش‌بینی بوده و دارای منابع داخلی خارجی مختلفی ازجمله بلایای طبیعی ریسک‌های عملیاتی پژوهش حاضر شبیه‌سازی توسط نرم‌افزار ارنا زنجیره‌ سنگ ساختمانی «کارخانه سنگبری آسم...

in this study, the trace amounts of erythrosine, as a food dye is determined by cloud point extraction-scanometry (cpe-scanometry) as a new, facile, available, fast, sensitive, and low cost method. the method is based on the cpe of analyte from aqueous solution, diluting the extracted surfactant-rich phase with ethanol, transfer to plexiglas®cell and scanning the cells containing the analyte so...

This work presents validation measures for the optimization of RGB color data encoding. Various RGB specifications had been promoted in the past for standard use in imaging, most of them adapted to application or equipment specific requirements. Although some, as sRGB for instance, are already widely used, none of them has been accepted yet as a universal standard. All of them are subject to li...

Scene recognition with RGB images has been extensively studied and has reached very remarkable recognition levels, thanks to convolutional neural networks (CNN) and large scene datasets. In contrast, current RGB-D scene data is much more limited, so often leverages RGB large datasets, by transferring pretrained RGB CNN models and fine-tuning with the target RGB-D dataset. However, we show that ...

This paper presents an IF1F2 color space for describing colors in microscopic images. Unlike the classical color spaces that treat the R, G, and B (RGB) components of a pixel’s color as independent elements, the proposed color space treats RGB as a sampled spectral signal, called a RGB signal. Then, based on the Fourier spectrum analysis of the RGB signal, the 1-D discrete Fourier transform is ...

The red-blue-green (RGB) calibration technique consists in constructing an a priori calibration table of the isochromatic retardation versus the triplet of RGB values obtained with a RGB CCD camera. In this way a lookup table (LUT) is built in which the entry is the corresponding RGB triplet and the output is the given retardation. This calibration (a radiometric quantity) depends on the geomet...

A perceptual study of the RGB colour cube was conducted. In later stages of this research an RGB colour notation system based on perceptual RGB colour relationships was developed. A notation for an RGB colour wheel is proposed and colours are organized based on hue relationships. An application of this research was integrated as a graphical user interface (GUI) approach, which led to the develo...