Color Conceptosphere of the Story “Meshcherskaya Side” by K. Paustovsky

The purpose of the article is to reconstruct a fragment of K. Paustovsky’s coloristic picture of the world on the material of the story “Mescherskaya side”, which had not previously become the subject of special research carried out from the standpoint of linguistics of color, which determines the scientific novelty of this work. The research methodology is based on the descriptive and analytical method, the method of compatibility analysis, the method of contextual analysis, quantitative data processing. As the result of the research 1) the composition of color concepts, actualized by the writer in color chronotope creation, was revealed; only the color core of the story is represented by 24 color terms; 2) the dominants of the story color spectrum (black, green, gray) were determined; this color sequence is unique: it is recorded in Paustovsky’s works for the first time; 3) the color dominants denotative spheres (predominantly nature, artifacts, man) were established; 4) the functional potential of color terms was described; it includes the ontological function, the species function, the terminological function, as well as the function of temporal meaning transfer, the evaluative function, the aestheticization one; 5) the individual author’s specificity of artistic perception and reality coloristic visualization was revealed; among the significant color individual features are multicolor effect, non-stereotyped color characteristics, color associativity. The results obtained make it possible to create a comprehensive description of the story’s color conceptosphere.

Nonrepetitive List Colorings of the Integers

A coloring of the integers is nonrepetitive if no two adjacent intervals have the same color sequence. A beautiful theorem of Thue asserts that there exists a nonrepetitive coloring of $${\mathbb {N}}$$ N using only three colors. We obtain some generalizations of this result in which the adjacency of intervals is specified by more general graphs. We focus on the list variant of the problem, in which every integer gets a color from its own set of colors. For instance, we prove that there exists a coloring of $${\mathbb {N}}$$ N from arbitrary lists of size 8, such that the following property holds for every $$n\ge 1$$ n ≥ 1 : among any $$2^n$$ 2 n consecutively adjacent intervals, each of length n, no two have the same color sequence. Another result is related to the possible extension of the famous Dejean’s conjecture to the list setting. It asserts that for every $$k\ge 1$$ k ≥ 1 , there is a coloring of $${\mathbb {N}}$$ N from lists of size $$k+2\sqrt{k}$$ k + 2 k , such that no two among any k consecutively adjacent intervals have the same color sequence.

Linking surface morphology, composition, and activity on the nucleus of 67P/Churyumov-Gerasimenko

Aims. The Rosetta space probe accompanied comet 67P/Churyumov-Gerasimenko for more than two years, obtaining an unprecedented amount of unique data of the comet nucleus and inner coma. This has enabled us to study its activity almost continuously from 4 au inbound to 3.6 au outbound, including the perihelion passage at 1.24 au. This work focuses identifying the source regions of faint jets and outbursts and on studying the spectrophotometric properties of some outbursts. We use observations acquired with the OSIRIS/NAC camera during July–October 2015, that is, close to perihelion. Methods. We analyzed more than 2000 images from NAC color sequences acquired with 7–11 filters covering the 250–1000 nm wavelength range. The OSIRIS images were processed with the OSIRIS standard pipeline up to level 3, that is, converted in radiance factor, then corrected for the illumination conditions. For each color sequence, color cubes were produced by stacking registered and illumination-corrected images. Results. More than 200 jets of different intensities were identified directly on the nucleus. Some of the more intense outbursts appear spectrally bluer than the comet dark terrain in the visible-to-near-infrared region. We attribute this spectral behavior to icy grains mixed with the ejected dust. Some of the jets have an extremely short lifetime. They appear on the cometary surface during the color sequence observations, and vanish in less than some few minutes after reaching their peak. We also report a resolved dust plume observed in May 2016 at a resolution of 55 cm pixel−1, which allowed us to estimate an optical depth of ~0.65 and an ejected mass of ~2200 kg, assuming a grain bulk density of ~800 kg m−3. We present the results on the location, duration, and colors of active sources on the nucleus of 67P from the medium-resolution (i.e., 6–10 m pixel−1) images acquired close to perihelion passage. The observed jets are mainly located close to boundaries between different morphological regions. Some of these active areas were observed and investigated at higher resolution (up to a few decimeter per pixel) during the last months of operations of the Rosetta mission. Conclusions. These observations allow us to investigate the link between morphology, composition, and activity of cometary nuclei. Jets depart not only from cliffs, but also from smooth and dust-covered areas, from fractures, pits, or cavities that cast shadows and favor the recondensation of volatiles. This study shows that faint jets or outbursts continuously contribute to the cometary activity close to perihelion passage, and that these events are triggered byillumination conditions. Faint jets or outbursts are not associated with a particular terrain type or morphology.

FPGA Implementation of Archery Target Detection using Color Sequence Recognition Algorithm

In this paper, an implementation of image processing methods to extract and recognize a standard tri-colored archery target to a field-programmable gate array is demonstrated. Detection and recognition of the archery target was never been done on an FPGA platform. The platform used to realize the design was the ZedBoard™ Development Kit equipped with Xilinx Zynq®-7000 All Programmable system on chip. The algorithms used to extract the central region is based on color classification in HSV color space. Once each image pixels are classified, the color sequence recognition algorithm attempts to look for the target and extract the central region of the archery target if present. Image filtering techniques and analysis such as morphological filtering and contour feature analysis are used to properly identify the shape and location of the extracted pixels. Discussed next is the implementation of the algorithm both in the software and hardware aspects and a comparison between their response time and accuracy is demonstrated. There was about two-fold decrease in processing time when FPGA implementation was deployed. The accuracy of the system was also tested and able to reach an accuracy of 96.67% for near target distance. For far target distance, the accuracy degraded to 88.33% but the system has managed to maintain its specificity value despite the noise becoming dominant for smaller region occupied by the target.

Solvent-assisted structural conversion involving bimetallic complexes based on the tris(oxalato)ferrate(iii) unit with the green → blue → red crystal color sequence

Three Cu(ii)/Fe(ii)-bpy-[Fe(ox)3]3− complexes related by structural conversion were studied by XAS, magnetic methods and theoretical calculations.