Color Style Research Articles

전통 성악 콘텐츠의 제작 방향성

The purpose of this study is to find the direction of production of Pansori convergence content and suggest policies necessary for it. Based on Pansori, it examines the production background, content, and composition production intentions, possibilities, limitation, and significance. of creative musicals <Seo-pyeonje>, Band <Inalchi>, Broadcast JTBC <Pungryu Captain>, MBN <Chosun Panstar>.
 First, creative musical <Seo-pyeonje> representes the lives of characters by setting pansori as the subject and value of the drama. Although pansori was not successful due to the limitations of pansori, it is significant that pansori showed various charms and aspects on stage.
 Second, alternative pop band <Inalchi> ‘The Tiger is Coming’accepted pansori as the main character of a one-time syndrome, and created an art completely different from pansori based on pansori, bass, and drum-centered rock music. Although there were limitations in the unfamiliar pansori language and the absence of a consumer market, it is significant that the new music created through attempts to dismantle and merge genres beyond the genre based on the expertise of the band <Inalchi> members showed great potential for pansori’s popularization and globalization.
 Third, JTBC <Pungryu Captain>, MBN <Chosun Panstar> which aired in 2021, are broadcasts designed to popularizes Pansori and the two programs intended to promote the colorful style and charms of pansori and discover stars of Pansori. Although it was difficult to catch the public’s eyes with its novelty alone, it set the stage for young pansori-singers, changed the public’s perception that pansori was difficult, and led to the possibility of pansori as well as the the public as a global content.
 Fourth, Direction of pansori convergence content production derived through the discussion of this paper can be suggested to discover creative, competitive stars, develop video content through convergence with various genres, and develop a pansori brand of One Source Multi Use.
 Fifth, Policy direction for producing high-quality pansori convergence content should be diversified to support works the state’s policy support to form a new market, and talent development in fields related to pamsori convergence content production can be suggested.

A Comparative Study on the Patterns of Dragon Pattern Porcelain in the Qianlong and Guangxu Periods of the Qing Dynasty

Dragon pattern is an important historical culture in Chinese arts and crafts, and it is also one of the decorative patterns with the most cultural connotation in porcelain. Exploring the ancient Chinese dragon pattern can promote the research of Chinese art history and enhance the utilization of ancient art value. This paper takes the blue and white dragon pattern plate of Qianlong period and the blue and white Shuanglong playing pearl plate on Guangxu period as the representative of dragon pattern porcelain of the two periods to compare and analyze the historical background, line characteristics, color style and spatial layout. Through the research results, it’s find that the dragon pattern porcelain patterns in the Qianlong and Guangxu periods of the Qing Dynasty were different due to the differences in the national strength of the Qing Dynasty, the social aesthetic differences and the national economic strength. It is concluded that the dragon pattern on the porcelain will appear in different styles in the same Dynasty due to different historical backgrounds.

A METHOD OF DISASTER-DAMAGED BUILDING SAMPLE LIBRARY CONSTRUCTION BASED ON TRANSFER LEARNING

Abstract. In recent years, the analysis of satellite remote sensing data using deep learning methods has become an important solution in the field of disaster response. The sample library can provide knowledge support for deep learning tasks in a research area, and its sample size and labeling accuracy directly determine the model effectiveness. However, the traditional sample library is often constructed by manual annotation, which is time-consuming and less automated. This research explores a transfer learning method to automate the construction of a sample library of building damage. We used models instead of manual work to automatically annotate the damage information of disaster images, combined with an auxiliary manual inspection to achieve high quality and dynamic optimization of the sample library. Following are three main aspects of research work. (1) This study extensively collected remote sensing images related to disaster events, and carried out data pre-processing work. (2) This study built a building damage information identification model based on the U-Net framework, which applied pre-trained backbone model and was formally trained on xBD dataset. (3) With CycleGAN to implement color style transfer between RS images collected from two different data sources, we constructed a high-quality building damage sample library, mainly by automatic machine labeling and supplemented by manual sampling verification. Finally, we successfully constructed a sample library of disaster-damaged building images, and conducted several rounds of manual precision sampling work and dynamic optimization work. The number of image slices in the sample library reached 12,834, and the overall accuracy is higher than 0.80 under the manual inspection of 200 samples.

An invisible and robust watermarking scheme using convolutional neural networks

Although zero-watermarking schemes based on image features demonstrate perfect imperceptibility, they are exposed to the weak robust problem. This is because the zero-watermark information construction and the watermark information detection depend on XOR logic operation. In this study, a watermarking scheme that constructs a zero-watermark image by superimposing the color style of the host image on the content of the watermark logo using convolutional neural networks is proposed. A stylized image is generated by iterating between the style of the host image and the content of a watermark logo added with a timestamp. The stylized image is then encrypted via Arnold transform and is registered in the intellectual property rights as the zero-watermark image. The image copyright is verified using the convolutional neural network whose loss function is defined as the difference between the original watermark logo and its output image. Its training dataset consists of many image pairs, each of which is composed of the host image under an attack and the decrypted zero-watermark image. Experimental results show that the proposed zero-watermarking scheme is highly robust to both common image processing and geometric attacks, and its performance far surpasses those of the existing zero-watermarking methods and non-zero-watermarking methods.

Allium saricanense (Amaryllidaceae), a New Species from Eastern Turkey

Allium saricanense Balos, Sonay & Koçyiğit (Amaryllidaceae), a new species of Allium sect. Codonoprasum, is described from Elazığ Province, eastern Turkey. It resembles A. turcicum and A. nerimaniae but differs from them by several morphological characters, such as its filament length, inner tepal shape, ovary shape and style colour. Diagnostic characters, a comprehensive description, photographs, and a distribution map of A. saricanense are provided.

Fuzzy Applications in Demonstration of Chinese Teaching Research Based on Machine Learning

In order to improve the effect of Chinese teaching, this paper combines machine learning to conduct Chinese teaching research, constructs an intelligent Chinese teaching system, and conducts online monitoring of the Chinese teaching process. Moreover, this paper uses the general histogram matching algorithm to transfer the color style of the source image to the original image. The image’s local color information will be lost as a consequence of this procedure, according to the processing findings. This paper proposes a multi-directional cutting algorithm to partition the image, then uses the local linear embedding algorithm to realize the color style transfer method, and builds an intelligent Chinese teaching system based on machine learning to achieve a more realistic and natural color style transfer effect. The experimental research shows that the Chinese teaching method based on machine learning proposed in this paper can effectively improve the quality of Chinese teaching.

Research on Detection and Early Warning Mechanism of Emergency Public Health Medical Education System Based on Internet of Things Technology.

Sudden public health and medical education events have tested the stability of society to a great extent. The government need to strengthen capacity building, make use of system dynamic supervision, warn public health events in advance, and minimize the impact scope and related harmfulness of events. This not only facilitates the rapid mobilization of resources by the later government but also facilitates the comprehensive and detailed deployment and arrangement of decision-makers. As we all know, the Internet of Things is used by all walks of life because of its outstanding advantages of low power consumption, low cost, and wide range. Therefore, this article takes the Internet of Things as the technical basis of the system. According to the actual demand and resource design, it includes two system functions: detection and early warning. The results show that: (1) considering the practical principle, the evaluation system interface found that the scores of font size and color style are all below 80%, which need to be optimized and adjusted; the overall interface basically meets the needs of users. (2) The throughput of the three methods is different. The CoAP-E has superior throughput. (3) With the increase in packet loss rate, the request success rate of the CoAP method decreases in a “drop” manner. The CoAP-E method in this article has the best performance. (4) When the packet loss rate is 25%, the network adaptability of this method is the strongest, and the retransmission rate is less than 18%; the CoAP method is as high as 35%. (5) When the number of concurrent requests is less than 2500, there is no obvious difference between the three methods; the optimal performance of the dynamic load balancing method is 10.1 s. (6) The system comprehensively considers various factors of five site selections. The highest comprehensive score of Final Site, 5 is 8.7, which can be used as the resettlement place of emergency rescue facilities. This article starts from the characteristics and needs of public emergencies, and the final set of the system runs well. It can quickly reflect public health emergencies and medical education events. Use the most effective system functions for risk control, and maximize the analysis, organization, and coordination of events. The follow-up optimization of system details needs to be studied.

Visual Design of Brand Image by Marine Bionic System in the Environment of Internet of Things and Machine Learning

Based on the environment of economic globalization, many clothing companies have increased the requirements for clothing design styles to diversify them, thereby increasing the interest of consumers. The main purpose and motivation are to explore the pattern design of children’s clothing with the marine bionic environment as the design source. Firstly, the collaborative business concept of IoT machine learning is introduced into the field of clothing design. Design styles and elements related to marine bionic environments are introduced. A set of questionnaires about the visual design preferences of children in different families on marine style clothing patterns are designed to examine differences in the cognitive level of color patterns among children of different age groups. Through the sorting, statistics, and analysis of the questionnaire results, different families have a stronger interest in clothing with warm colors as the color style and lines and ordinary paintings as the pattern drawing style. This provides a certain degree of design ideas for related clothing design work and provides unique insights into the visual design of brand image based on the marine bionic system in the Internet of Things (IoT) and machine learning environment.

Over the Garden Wall: Contextualizing "Babes in the Woods"

Over the Garden Wall: Contextualizing "Babes in the Woods" My video essay for Dan Simpson’s FILM 456’s scene analysis assignment aims to contextualise episode 8 of Over the Garden Wall entitled Babes in the Woods by analysing its visual, audio, and narrative decisions and comparing them to early animation and western colonial storytelling. Over the Garden Wall uses sound, colour, shapes and animation style to masterfully execute a stylistic and narrative homage to not only early western and colonial stories, but to the origins of the medium it's telling these stories in, that being animation. Through the use of rubber hose animation style, its colour scheme, and its stylistic editing the episode is a visual homage to early animation such as Alice’s Adventures in Wonderland (1923). A musical montage inspired by the song “Babes in the Woods” not only is a narrative nod to the series as a whole, but pays homage sonically to western folklore. Narratively, the dream sequence is inspired by greek mythology and odyssey with references to Boreas and the Onieri. These aesthetic and narrative decisions masterfully, overtly and subtly pay homage to the serie’s predecessors and make for an effective tribute to the art of storytelling as it’s come before.

Elucidating the Color of Rosé Wines Using Polyphenol-Targeted Metabolomics.

The color of rosé wines is extremely diverse and a key element in their marketing. It is due to the presence of anthocyanins and of additional pigments derived from them and from other wine constituents. To explore the pigment composition and determine its links with color, 268 commercial rosé wines were analysed. The concentration of 125 polyphenolic compounds was determined by a targeted metabolomics approach using ultra high-performance liquid chromatography coupled to triple quadrupole mass spectrometry (UHPLC-QqQ-MS) analysis in the Multiple Reaction Monitoring (MRM) mode and the color characterised by spectrophotometry and CieLab parameters. Chemometrics analysis of the composition and color data showed that although color intensity is primarily determined by polyphenol extraction (especially anthocyanins and flavanols) from the grapes, different color styles correspond to different pigment compositions. The salmon shade of light rosé wines is mostly due to pyranoanthocyanin pigments, resulting from reactions of anthocyanins with phenolic acids and pyruvic acid, a yeast metabolite. Redness of intermediate color wines is related to anthocyanins and carboxypoyranoanthocyanins and that of dark rosé wines to products of anthocyanin reactions with flavanols while yellowness of these wines is associated to oxidation.

Design of Artistic Creation Style Extraction Model Based on Color Feature Data

In order to improve the style extraction and extraction ability of works of art, a color extraction method based on color features is proposed. The color feature extraction method is used to extract the style of visual works of art. The color feature region of works of art is segmented combined with a sparse scattered point reorganization method. Texture tracking and matching method is used for information fusion of works of art, combined with corner detection, three-dimensional edge contour feature detection method to realize texture filling and automatic rendering of art color extraction to improve art graphics’ color visual feature expression ability. The color feature data method is used for visual feature sampling and equalizing works of art. According to the equilibrium configuration results, the fuzzy clustering method is used to extract the color style of works of art to improve the style extraction and extraction identification ability of works of art. The simulation results show that this method has high accuracy in color extraction of works of art. It has a good effect on the extraction of art creation style and improves the ability of three-dimensional extraction and automatic extraction of art.

Exploration and Analysis on the Penetration and Inspiration of Contemporary Art in High School Education

With the continuous progress of the development of education in the new era, the content of art presents a rich and colorful style. It has become a trend of the new curriculum reform to infiltrate contemporary art into high school education. Conforming to this new way of penetration, how to effectively combine the two to carry out high school education is a very important educational goal to promote the quality of high school teaching and achieve the comprehensive development of high school students. In this regard, this paper mainly explores the penetration and Inspiration of contemporary art in high school education.

Reference-guided structure-aware deep sketch colorization for cartoons

Digital cartoon production requires extensive manual labor to colorize sketches with visually pleasant color composition and color shading. During colorization, the artist usually takes an existing cartoon image as color guidance, particularly when colorizing related characters or an animation sequence. Reference-guided colorization is more intuitive than colorization with other hints, such as color points or scribbles, or text-based hints. Unfortunately, reference-guided colorization is challenging since the style of the colorized image should match the style of the reference image in terms of both global color composition and local color shading. In this paper, we propose a novel learning-based framework which colorizes a sketch based on a color style feature extracted from a reference color image. Our framework contains a color style extractor to extract the color feature from a color image, a colorization network to generate multi-scale output images by combining a sketch and a color feature, and a multi-scale discriminator to improve the reality of the output image. Extensive qualitative and quantitative evaluations show that our method outperforms existing methods, providing both superior visual quality and style reference consistency in the task of reference-based colorization.

Colour of floral styles in the Banksia spinulosa Sm complex (Proteaceae) relates to the anthocyanin and flavonol profile, not soil pH

The cylindrical conflorescences of the Banksia spinulosa Sm complex have several different colour types, i.e., black, red, maroon, lemon, and yellow. It is unknown if colour variation is due to extrinsic factors, importantly soil pH. Recent morphological observations have indicated that style colour are not contiguous, so follow-up chemical and soil analysis was conducted to further characterize the colour difference with respect to putative taxa and abiotic factors. Conflorescences of all known colours were sampled from across the eastern Australian distribution of B. spinulosa, and the respective soils were sampled and analysed for pH and total nitrogen. Regression analyses of this data demonstrated that pH and nitrogen gave nil and limited predictability for style colour respectively, i.e., only the taxa with black styles demonstrated a correlation, which was to a soil with slightly higher nitrogen content (p < 0.05). Furthermore, differences of pH were more often between taxa with conflorescences of the same colour. For chemical characterisation, the coloured styles were removed from conflorescences, extracted, and analysed by liquid chromatography-mass spectrometry (HPLC-MS/MS-DAD). Ten anthocyanin and twelve flavonol monoglycosides were identified by mass spectral fragmentation patterns (MS1 and MS2) and retention times. The data demonstrates that style colour differences are caused by the concentration of anthocyanins and their specific chemistry. It remains to be determined if the differences of anthocyanin expression are caused by other abiotic factors, or if it is intrinsic to the respective taxon.

Example‐Based Colour Transfer for 3D Point Clouds

AbstractExample‐based colour transfer between images, which has raised a lot of interest in the past decades, consists of transferring the colour of an image to another one. Many methods based on colour distributions have been proposed, and more recently, the efficiency of neural networks has been demonstrated again for colour transfer problems. In this paper, we propose a new pipeline with methods adapted from the image domain to automatically transfer the colour from a target point cloud to an input point cloud. These colour transfer methods are based on colour distributions and account for the geometry of the point clouds to produce a coherent result. The proposed methods rely on simple statistical analysis, are effective, and succeed in transferring the colour style from one point cloud to another. The qualitative results of the colour transfers are evaluated and compared with existing methods.

Le désir de langue. Les dimensions poétique et politique de la diglossie dans le roman « Le jardin de verre » de Tatiana Țîbuleac

Still relevant today via mobility and the multicultural environment as the constitutive elements of our globalized societies, the reflections around “the cumbersome problem of the genius of languages” (Cassin 2016) join and enrich the question of living together and building oneself. In the field of literature or human sciences, the thought of the practice of languages in a situation of diglossia has forged an imaginary which often connects the passage from one language to another to a balance of power and a tension of identity. We propose an analysis of the symbolic values of the dilemma between the Romanian language and the Russian language which is at the heart of the diegesis of the novel Grădina de sticlă [The Glass Garden] by Tatiana Țîbuleac. Published in Romanian by Éditions Cartier de Chișinău and translated into several languages, including French and Spanish, the book was awarded the European Union Prize for Literature in 2019. The fictional world and the language of writing describe a symbolic abyss: the author describes in Romanian the fight with the Russian of a Moldovan orphan who is trying to rebuild herself between the two languages. In a very colorful style, the novel deploys a po(ï)etics of “between”, which also has a political dimension.&#x0D;

A study on Korean fashion style expressed in YouTube content

The study aims to define the Korean Wave as global attention to Korea’s unique culture and consider the specificity of traditional Korean fashion images in Korean Wave content. The research method of this study is a case study through literature research. In order to collect Korean Wave content on YouTube, 24 channels with the highest number of views were selected from among content uploaded from 2018 to the present through keyword search, and up to two channels with high views showing traditional Korean fashion images. As a result of selecting the analysis target, 41 Korean Wave videos and 368 costumes were selected and analyzed based on fashion style elements, including item, color, detail, motif, styling, silhouette, and accessory. As a result of the study, music, broadcast, fashion, and other content were found in the Korean Wave content fields in which Korean fashion style appeared, and the characteristics of each field were derived. Music content was characterized by fashion style excluding stereotypes about traditional Korean costume, broadcast and fashion content was characterized by fashion style inherited from traditional costume, and other content was characterized by symbolic fashion style of traditional culture. This study is meaningful in revealing the formative characteristics of traditional Korean design elements recently shared online through the study of Korean traditional fashion images in Korean Wave content.

Gozareshhayi az Enqelab-e Mashrutiyyat-e Iran [Reports on the Iranian Constitutional Revolution] Mohammad Amin Rasulzadeh (trans. Rahim Ra’isniya, introduction by Kaveh Bayat) (1998). Tehran, Iran: Shirazeh, 360 pages. ISBN 964-6578, 228

Mohammad Amin Rasulzadeh’s Journalism Mohammad Amin Rasulzadeh (1884-1954) was a prominent journalist and political activist from the present-day Republic of Azerbaijan who would also become the first head of the Azerbaijani National Council. He apparently got his start in journalism, contributing to Hemmat, a magazine sponsored by Muslim socialists and other progressives. In the one surviving article from that period which illustrates his political outlook, he writes, in the floral and colorful style of his early years, about four people, a nationalist, a democrat, a reactionary, and a progressive, and how it is only by them joining hands and avoiding division that anything will be accomplished. One of the first of his journalistic campaigns was healing the wounds opened by the Armenian-Muslim massacres of 1905, which he blamed on the Russian imperial bureaucracy. However, the Armenian left-nationalist Dashnaks did not escape reproach for betraying socialism by engaging in nationalist provocations. He also campaigned for European-style reading rooms to raise the level of culture among the Muslims.

Deep Learning-Based Vein Localization on Embedded System

Venipuncture is a common process in medical treatment. In the fight against pandemic like COVID-19, it is often very difficult for medical staff to carry out venipuncture accurately, since the staff have to wear safety glasses and surgical gloves. In this work, we designed an embedded system which implements deep learning algorithm to localize veins from color skin images. The proposed method consists of a fully convolutional neural network (CNN) as encoder and feature extractor, a dilated convolution module, and a transposed convolution module as decoder. A synchronized RGB/Near Infrared (NIR) image database was constructed to provide the mapping information between the two image fields. A combined loss function which includes a per-pixel loss and a perceptual loss was presented to optimize the network parameters. To make the model adaptive to different images, a histogram specification scheme was adopted to transform the color style of an image. The model was then implemented on a NVIDIA Jetson TX2 development kit. Comprehensive experiments were conducted on different databases to evaluate the proposed method and the embedded system. Experimental results showed that the system has satisfactory performance and a promising perspective in daily medical treatment.

The effect of concert hall color on preference and auditory perception

Going to a concert involves both visual and auditory senses, which have been found to influence each other in many ways. The visual design of a concert hall contributes to the visual experience of seeing a concert, and color is one of the most obvious elements of the visual design. While some studies have reported that color affects vehicle loudness, the influence of concert hall color on the auditory experience of seeing a concert has been little-studied. In this study 30 volunteers evaluated loudness, reverberance, and their visual and auditory preference for multiple virtual reality scenes of a concert hall with various colors and with a music excerpt of various levels of gain and reverberation time. Results show that color has little or no effect on loudness and reverberance compared to changing gain or reverberation time. However, color does affect visual and auditory preference, and these are positively correlated and mutually influential. Of the five colors tested, red is the most-liked color for the selected concert hall, followed by neutral, blue, and yellow, while green is the least liked color. The color preference is related to the commonly used color styles of existing halls.