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Purpose: The device, amplifies and sub-regionally transmits the current generated by the body temperature thermoelectric generator through a smart body temperature sensor. Design/methodology/approach: The present study designs a wearable smart device regarding the relationship between temperature and emotion. Findings: Experimental results show that the device can accurately detect changes in human body temperature under hilarious, fearful, soothing and angry emotions, so as to achieve changes in clothing colors, namely blue, red, green and brown. Originality/value: Different areas of clothing produce controllable and intelligent color, so that adult emotions can be understood through changes in clothing colors, which is conducive to judging their moods and promoting social interaction. [ABSTRACT FROM AUTHOR]

This essay reviews an arts-based project based in Buffalo, New York, seeking to educate patients with kidney failure and their social network about the transplantation process. Through a multi-phase arts-based research project, informed by a community-based steering committee and key stakeholders, 33 educational animated videos were developed and tested for efficacy in samples of diverse patients at a regional transplant center. Animation was chosen for its potential to better explain health concepts more sensibly to patients and support knowledge dissemination to their social network, who may donate a kidney or support a recipient or donor. The videos are 2D, short in duration, and designed for easy viewing on small devices using characters, scenes, narration, and movement. Aesthetic choices reinforce learning: characters have confident posture, memorable features (e.g. hair style, clothing color) with minimal detail, and model diverse races, ethnicities, gender, and body types. Scenes feature light backgrounds, illuminate main images, and are as large as possible for small screens. Narration is slow, calm, and uses strategic pauses to introduce concepts. Movement is selective to reinforce the message (signaling). The animation was guided by self-efficacy theory and the cognitive theory of multimedia learning. Findings to date indicate promising results with respect to patient knowledge and the feasibility of using animation to address disparities in kidney transplantation. Figures illustrate the evolution of the project and provide examples of the art used to capture a given aspect of the transplantation process. [ABSTRACT FROM AUTHOR]

Fashion is basically a primary need for humans, which is necessary to protect the body. Fashion will look better and more attractive if you pay attention to its aesthetic value and beauty elements such as in evening gowns. Evening gowns can be realized if they are inspired by the source of the ideas taken. The source of the idea for making this evening gown is the outfit worn by one of the characters in the fantasy movie Cinderella. The 2015 film Cinderella is a romantic fantasy film from the United States produced by Walt Disney Pictures. The most iconic and attention-grabbing outfit in the live-action version of Cinderella is the beautiful blue dress that Cinderella wears while dancing with the prince. This study aims to find out the process and results of adaptation to the evening gown with the source of Cinderella dress ideas. The research with the Project Based Learning method consists of stages: 1) project planning, 2) project implementation, and 3) project evaluation, resulting in a clothing adapted to the strapless model evening gown with brocade and swarovski tile decorations. Based on research that has been conducted on 2 expert judgments, the results were obtained in the form of very good qualifications with an average acquisition percentage of 83.5%, with little input, namely the color of the fashion can be adjusted to the color tone of the original Cinderella gown, then what impressions you want to maintain and change from the fashion products that have been made, so that the concept of adaptation can be seen. [ABSTRACT FROM AUTHOR]

In Older to increase the creativity clothing product design, the combination of traditional Chinese aesthetics and philosophy of green landscape color matching has been applied to modern clothing design. Based on the improved K-means algorithm, this paper extracted the color features of A Thousand Li of Rivers and Mountains by Wang Ximeng, a court painter of Song dynasty. At the same time, according to the color network model and HSV mapping model, the color feature analysis and collocation design were completed. The optimal color scheme was obtained by fuzzy comprehensive evaluation method, and CL03D was used for virtual simulation and demonstration of clothing. The results show that when the value determined by the clustering number of gray histogram and the clustering of Mahalanobis distance is 8, it can represent the color characteristics of the painting, and has a good design application effect. In this way, the intelligent extraction of colors in traditional painting can be realized, and traditional painting can be empowered the innovative application of color painting in fashion design. [ABSTRACT FROM AUTHOR]

This article focuses on the fish hags in Dunhuang murals and the issues reflected in their official attire system. It analyzed relevant literature and image materials from the Tang to Song dynasties, focused on the inscriptions and portraits of the donors. At the same time, it combined unearthed objects to infer the shape and material of popular fish bags during this period. Research shows that the wearer of the fish bag is mainly a military governor and senior official of the Guiyi Army. The fish bag evolves from a leather bag made of wood to a wooden base made of gold, and eventually develops into a rectangular bottom with a continuous arched protrusion on the top and a raised tail. Combined with purple and other official clothing colors, it becomes a major component of the Tang dynasty's official clothing system, with a dual attribute of practical function and the symbol of grace and honor. The fish bags in Dunhuang murals and the reflected ceremonial costume system have a profound impact on the Five dynasties and Song dynasties, becoming a historical witness to the continuation of the Tang system and the orthodoxy of the Central Plains dynasty in the ceremonial costume by the Guiyi army regime. [ABSTRACT FROM AUTHOR]

Increased tourism pressure modifies animal behavior, including alterations in anti-predator responses and foraging activity. In areas with high tourist presence, animals may become accustomed to increased human activity and adjust the intensity of some defensive responses. An animal's anti-predation ability is usually estimated by measuring its Alert Initiation Distance (AID) and Flight Initiation Distance (FID). Both indexes are affected by multiple factors including the color of the observer's clothing. Animal behavior is also influenced by human presence, and individuals may become accustomed to increased human presence, e.g. in tourist areas. In this study, we analysed the escape behavior of the endemic Cyprus rock agama (Laudakia cypriaca) in relation to the observers clothing color. Our results showed that AIDs and FIDs of agamas in tourist areas were significantly shorter than those in non-tourist areas. Moreover, in non-tourist areas, AIDs and FIDs of agamas were significantly longer when the observer wore red clothes, compared to green and grey clothes. Our results may be helpful in planning research taking into account various colored clothing based on expected reptilian reactions. Furthermore, our results may determine the proximity at which humans interact with animals, considering clothing color, to prevent negative impacts especially on rare and protected lizard species. [ABSTRACT FROM AUTHOR]

Comprehensive Summary: Dynamic fluorescent materials play a crucial role in secure inks for data encryption; however, they are still plagued by issues such as photodegradation, poor latency, and susceptibility to unauthorized access. Herein, we propose a photochemically modulated dynamic fluorescent encryption system based on 1O2 sensitization of fluorescent composites, comprising a 1O2‐sensitive fluorophore (F2) and non‐emissive polymers. After UV irradiation, in‐situ generated 1O2 from the polymer effectively binds with F2 to form endoperoxides (F2EPO), resulting in a significant redshift in emission, up to 150 nm. The 1O2 concentration is closely related to the irradiation time, rendering different fluorescent colors in a time‐gated fashion. Moreover, the emission of F2EPO can be regulated by polymer chemical structure, molecular weight, and crosslinking density. Relying on these merits, we develop a dynamic data encryption method with various non‐emissive polymers as the data storage media, UV light irradiation as the data encoder, and F2 as the data decoder. UV light irradiation of diverse polymer solutions generates 1O2 at different concentrations, effectively encoding the data, which remains invisible under both UV and natural lights. The addition of F2 to these irradiated polymer solutions produces different redshifted fluorescence, enabling secure data decryption. Attributing to the non‐emissive nature of the polymers, time‐gated readout fashion, excellent latency of 1O2, and subtle interactions between 1O2 and F2, this data encryption is nearly undecipherable. This work offers an advantage data encryption approach beyond the reach of conventional fluorophores. [ABSTRACT FROM AUTHOR]

The environment in which animals are kept must provide suitable conditions for their species. This includes ensuring that animals are healthy, well-fed, safe, able to exhibit species-specific behaviors, not experiencing fear or pain, and not under chronic or acute stress. Poultry welfare is achieved when birds are raised in environments that meet their physiological and ethological needs. Fear can significantly impact animal welfare. Chickens have been significantly altered by human artificial selection. Despite this, they exhibit reactivity towards humans and tend to avoid them. Poultry animals reared in environmentally controlled poultry houses and bred for superior productivity are more sensitive to fear factors and have lost their adaptability to a great extent. This study aimed to determine the effect of personnel clothing color on stress and fear in chickens in layer hen coops. The experiment involved 32-week-old laying hens of three different genotypes. A worker in the henhouse wore six respective different colors of workwear (dark blue, green, red, yellow, black, and white), and sound measurements were taken during this time. The results showed that the color of the worker's clothing influenced the sound intensity of the chickens (P<0.05). White clothing elicited the least reaction, whereas black and dark blue elicited the most. The other three colors showed similar reactions. In conclusion, workers in layer hen coops wearing dark clothing, such as dark blue and black, can induce stress and noise in the animals. Additionally, chickens showed similar reactions to green, red, and yellow colors, with white being the color around which they felt the most secure. [ABSTRACT FROM AUTHOR]

Expressing emotions is essential for ensuring smooth communication between people. In the context of human-robot symbiosis, robots are also required to express emotions. Although one method of robot emotion expression involves using LEDs or other forms of light to display colors, considering the possibility of expressing emotions through clothing colors is also necessary. In this study, we developed a simple robot called the "Tilting Robot," which only performs simple tilting motions to investigate whether changes in the robot's clothing color would affect the expressed emotions. In the experiment, participants were divided into two groups: motion and posture groups. The motion group was shown videos of the robot's motion whereas the posture group was shown still images of the robot's posture. The results showed that the red clothing in the posture group significantly expressed anger, whereas the blue clothing in the motion group significantly expressed sadness. The rating for blue clothing was 4.04 ± 1.30, which was near "undecided." This suggests that blue clothing does not necessarily intensify the emotion of sadness, but other clothing colors may weaken its expression. The rating for red clothing was 2.86 ± 1.06, which was lower than "undecided." This suggests that red clothing may not express anger, but could give an impression of vitality. [ABSTRACT FROM AUTHOR]

Because the average number of missing people in our country is more than 20,000 per year, determining how to efficiently locate missing people is important. The traditional method of finding missing people involves deploying fixed cameras in some hotspots to capture images and using humans to identify targets from these images. However, in this approach, high costs are incurred in deploying sufficient cameras in order to avoid blind spots, and a great deal of time and human effort is wasted in identifying possible targets. Further, most AI-based search systems focus on how to improve the human body recognition model, without considering how to speed up the search in order to shorten the search time and improve search efficiency, which is the aim of this study. Hence, by exploiting the high-mobility characteristics of unmanned aerial vehicles (UAVs), this study proposes an integrated YOLOv5 and hierarchical human-weight-first (HWF) path planning framework to serve as an efficient UAV searching system, which works by dividing the whole searching process into two levels. At level one, a searching UAV is dispatched to a higher altitude to capture images, covering the whole search area. Then, the well-known artificial intelligence model YOLOv5 is used to identify all persons in the captured images and compute corresponding weighted scores for each block in the search area, according to the values of the identified human bodies, clothing types, and clothing colors. At level two, the UAV lowers its altitude to sequentially capture images for each block, in descending order according to its weighted score at level one, and it uses the YOLOv5 recognition model repeatedly until the search target is found. Two improved search algorithms, HWFR-S and HWFR-D, which incorporate the concept of the convenient visit threshold and weight difference, respectively, are further proposed to resolve the issue of the lengthy and redundant flight paths of HWF. The simulation results suggest that the HWF, HWFR-S, and HWFR-D search algorithms proposed in this study not only effectively reduce the length of a UAV's search path and the number of search blocks but also decrease the search time required for a UAV to locate the search target, with a much higher search accuracy than the two traditional search algorithms. Moreover, this integrated YOLOv5 and HWF framework is implemented and tested in a real scenario to demonstrate its capability in enhancing the efficiency of a search and rescue operation. [ABSTRACT FROM AUTHOR]

The present study investigated whether the clothing color of female stimuli and the perceived attractiveness judgments of Caucasian and Chinese male observers for own‐ and other‐ethnicity are correlated. Results indicate that Caucasian observers evaluated stimuli in white and black as the most attractive while giving low ratings for stimuli in orange, yellow, or lime. Results for the Chinese observers were found to depend on the stimulus type, whereby the Caucasian stimulus received significantly lower ratings when dressed in lime, and the Chinese stimulus was rated as the least attractive when in lime, orange, green, or cyan. White was found to have a positive effect on Chinese observers' ratings for both stimuli. A comparison of the general versus the facial attractiveness lends some evidence that red enhanced Caucasian observers' attraction to the Chinese stimulus while findings fail to support the general red‐effect. We propose a potential mechanism underlying the color‐attraction associations. [ABSTRACT FROM AUTHOR]

Despite fashion being one of the most common and accessible aesthetic activities in everyday life, very few empirical studies of clothing selection and preferences exist. To address this empirical gap, an online survey of 500 participants was constructed. A four-factor preference structure, Everyday Clothing Preference Factors (ECPF), emerged, consisting of essential, comfortable, feminine, and trendy styles. Further analysis revealed the preference for each of these four factors to be associated with clothing colors and individual differences. The transferability of ECPF across three preference judgment types (clothing one likes and owns, clothing one likes but does not own, and clothing one owns but does not like) revealed the robustness of the preference structure, through which a short version of ECPF was created. The paper concludes by discussing the implications and impact of scientifically studying fashion as an object of aesthetics and empirical study. [ABSTRACT FROM AUTHOR]

Color in artworks is an inspirational source for fashion designers. Product color is a fundamental design element to stimulate customers' emotional response as designers intend or express conceptual trends they want to infuse into products. Thus, artwork color analysis and the color selection process are crucial for product designs. This study aims to establish digital color analysis whereby fashion designers can extract colors from digital images of artworks and find relevant fashion codes with automation. The analysis method provides the image color attributes in Munsell, Practical Color Coordinate System, and Shigenobu Kobayashi Color Scale. It reveals underlying color semiotics representative of digital images. That is essential to provide color guidance to fashion experts when planning product colors. The semiotics analysis is based on Kobayashi's 3-color combination scale and quantitatively estimates the similarity of an artwork image to the 3-color bar. Symbolic adjective of the image is found whereby image coordinates in semantic space can be estimated. This method was used to investigate the colors of 190 Monet's paintings. The results found that Monet frequently expressed subject matters in nature with colors of low saturation tone. We explore the manifestation of the painting colors in dress collections as fashion codes. This approach found that an inspiring painting and a designed dress impress the same or similar fashion codes. [ABSTRACT FROM AUTHOR]

During the last decade, surveillance cameras have spread quickly; their spread is predicted to increase rapidly in the following years. Therefore, browsing and analyzing these vast amounts of created surveillance videos effectively is vital in surveillance applications. Recently, a video synopsis approach was proposed to reduce the surveillance video duration by rearranging the objects to present them in a portion of time. However, performing a synopsis for all the persons in the video is not efficacious for crowded videos. Different clustering and user-defined query methods are introduced to generate the video synopsis according to general descriptions such as color, size, class, and motion. This work presents a user-defined query synopsis video based on motion descriptions and specific visual appearance features such as gender, age, carrying something, having a baby buggy, and upper and lower clothing color. The proposed method assists the camera monitor in retrieving people who meet certain appearance constraints and people who enter a predefined area or move in a specific direction to generate the video, including a suspected person with specific features. After retrieving the persons, a whale optimization algorithm is applied to arrange these persons reserving chronological order, reducing collisions, and assuring a short synopsis video. The evaluation of the proposed work for the retrieval process in terms of precision, recall, and F1 score ranges from 83% to 100%, while for the video synopsis process, the synopsis video length compared to the original video is decreased by 68% to 93.2%, and the interacting tube pairs are preserved in the synopsis video by 78.6% to 100%. [ABSTRACT FROM AUTHOR]

Road intelligence monitoring is an inevitable trend of urban intelligence, and clothing information is the main factor to identify pedestrians. Therefore, this paper establishes a multi-information clothing recognition model and proposes a data augmentation method based on road monitoring. First, we use Mask R-CNN to detect the clothing category information in the monitoring; then, we transfer the mask to the k-means cluster to obtain the color and finally obtain the clothing color and category. However, the monitoring scene and dataset are quite different, so a data augmentation method suitable for road monitoring is designed to improve the recognition ability of small targets and occluded targets. The small target mAP (mean average precision) recognition ability is improved by 12.37% (from 30.37%). The method of this study can help find relevant passers-by in the actual monitoring scene, which is conducive to the intelligent development of the city. [ABSTRACT FROM AUTHOR]

This study purpose of recording pedestrians' activities in all surveillance videos and then convert these records into structured descriptions to analyze a large number of surveillance videos. This paper proposes a four-stage processing method. The first stage uses convolutional neural network (CNN) to detect objects in the surveillance video and classify them. The second stage finds the correlation of pedestrians in continuous images and describes multiple objects' trajectories in the surveillance video. The third stage calculates the similarity of the pedestrian object sets of the surveillance video at different times as the basis for pedestrian re-identification. In the fourth stage, extract the walking path of the pedestrian in each surveillance video. Each pedestrian's actions in each surveillance video, including whether to stand, walking path, direction, clothing color and walking time. To construct a correlation table of pedestrian motion in multiple surveillance videos. This experiment uses two image datasets for experimentation and analysis to evaluate this method's effectiveness for pedestrian movement in multiple surveillance videos. The image datasets are the Multi-Camera Object Tracking (MCT) Challenge and PETS 2009 Benchmark Data. This experiment includes pedestrian detection, pedestrian identification, and multi-pedestrian tracking of pedestrians in single and multiple surveillance cameras. The results show that in the pedestrian detection experiment, the convolutional neural network can effectively solve the problems caused by static objects, light changes, similar colors, crowded pedestrians, and incomplete objects. In the pedestrian recognition and re-recognition experiments, the accuracy is reduced due to the influence of low-resolution surveillance videos. This detection method of the pedestrian is more accurate than traditional dynamic object detection methods. After the pedestrian tracking and re-identification are completed, the pedestrian relationships in multiple surveillance cameras are integrated, and a pedestrian behavior association table is built for surveillance videos. [ABSTRACT FROM AUTHOR]

The generation of art images using computers has been studied recently. A new type of art image called a stripe-based Futurism-like image, and its application to covert communication, are proposed. Firstly, a source image is segmented into regions. The region corners are extracted by chain code analysis, and polygon approximation is conducted accordingly to simplify the region shapes. Then, each region is partitioned into stripes according to the region direction and the stripes are filled with the region's average color, or the color white alternatively, resulting in an image with the abstraction and dynamism of Futurism. Furthermore, a data hiding method is proposed to embed a secret message into the created art image by filling the stripes with the aforementioned colors in a message-dependent fashion, with the message bits being adjusted beforehand by a 2-to-3 mapping scheme to avoid filling a region's stripes with consecutive identical colors. Furthermore, hidden data security is enhanced by randomizing both the message-bit embedding order and the region processing sequence via the use of a secret key. By processing a database of 100 images, good experimental results of art image creation and secure message hiding have been obtained, showing the feasibility of the proposed methods for covert communication. [ABSTRACT FROM AUTHOR]

Fashion runway images are one of the most important sources for color research. In this study, an experimental study was conducted to develop the optimal color identification method for fashion images under uncertain conditions. For this purpose, five different experimental schemes were designed for comparison. Experts' visual assessment, PANTONE Color Palettes Generator (PCPG), and K‐means method are the existing methods. Experts' visual assessment combined with PCPG and experts' visual assessment combined with K‐means method are the new method developed in this study. The color measuring instrument extracted the color of the standard sample by the actual clothing. Five methods extracted the color of the contrast sample from the clothing image, and the color difference was calculated. The data were processed using Microsoft Excel and the statistical program SPSS23.0. Descriptive analyses, One‐way ANOVA and least‐significant difference multiple comparisons analysis were conducted to analyze the color difference data. The results of data analysis showed that experts' visual assessment combined with K‐means method was the most accurate method with ΔE*ab 1.41–4.58, mean <4, and SD <1. The experimental results were verified and the accurate method was stable. These results are of great importance for the research of fashion colors. They help to improve the accuracy of fashion color database. [ABSTRACT FROM AUTHOR]

A KCN-KE model combining K-means color network and Kansei Engineering was constructed to solve the problem of poor coupling between color gene and user's perceptual demand in the study of Miao embroidery clothing color in Southeast Guizhou. Firstly, the original image set was selected and grouped by Delphi method. Then, the K-means clustering algorithm was used to extract color and calculate the correlation between color weights, so as to construct the color network model of Miao embroidery clothing in Southeast Guizhou. On this basis, the color perceptual image survey samples of Miao embroidery clothing in Southeast Guizhou were constructed, and the perceptual image vocabulary was used to investigate the perceptual image. By mapping RGB color space to HSL color space, the coding of color elements was clarified, and the simultaneous equation between perceptual image vocabulary and color elements of Miao embroidery clothing in Southeast Guizhou was established by using multiple linear regression analysis to construct the KCN-KE model. The effectiveness of the KCN-KE model was verified by case design. The results show that the recognition accuracy of perceptual words is above 94%, and the average recognition rate is 95.78%. The KCN-KE model can provide a theoretical reference for the quantitative analysis of Miao embroidery clothing color in Southeast Guizhou. [ABSTRACT FROM AUTHOR]

Fashion color research takes the color information of fashion apparel as the major focus for further studies, such as style categorization or trend prediction. However, the colors in apparel are treated as isolated elements from each other, disregarding the fact that not only the attributes of each color itself but also the collocation relationship of the colors in apparel are important color factors. To provide a more comprehensive abstraction of the information from the fashion colors as well as emulating the human cognition of fashion colors, in this paper, we are the first to propose a knowledge graph-based representation method that captures not only the individual colors but also abstracts the spatial relation of all the colors that appear in a single piece of fashion apparel. This method provides the fundamental definition of the abstraction of the relation of colors, a detailed method to construct the color graph, as well as the practical matrix-based management and the visualization of the constructed graphs. The case studies for color data extraction and extended usage demonstrate the effectiveness of our method with comprehensive color data representation and effective information extraction. [ABSTRACT FROM AUTHOR]

Copyright of ModaPalavra e-periódico is the property of Universidade do Estado de Santa Catarina and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of ModaPalavra e-periódico is the property of Universidade do Estado de Santa Catarina and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This research assessed whether the color of a female politician's clothing affected perceptions of her verbal aggression. In the context of Kamala Harris attacking Donald Trump, a 2 (color: pink vs. gray) × 2 (verbal aggression: low vs. high) experiment was conducted. While wearing pink, participants perceived Harris as more competent and reported more message-consistent perceptions if she used low rather than high verbal aggression. While wearing gray, high rather than low verbal aggression was perceived more favorably. [ABSTRACT FROM AUTHOR]

The dominant color and design style of traditional Chinese clothing affect the creative inspiration of designers. Aiming at the dominant color design of traditional Chinese clothing, a color classification method based on mean shift clustering algorithm was proposed. The traditional Chinese typical clothing image was captured by digital SLR camera, and the sub images in the three-color channels of the image were filtered by median filter. The filtered image was segmented according to the background color, and the traditional typical clothing image was separated from the background. The mean shift clustering algorithm was used to cluster the pixels in the clothing image, and the main color of traditional clothing were extracted from the clustering results. The experimental results show that when the bandwidth of the mean shift clustering algorithm is set to 0.05, the main color components of the clothing image can be extracted well, and the calculation cost is low. [ABSTRACT FROM AUTHOR]

This research analyzes the colors of the illustrations of Imam Ali (peace be upon him) in Khavarannama based on the views of 'Ala' al-Dawla Simnani. The remarkable approach of Muslim sages and mystics to "color", ended up to subtle meanings and delicate concepts of this artistic element that can be seen in Iranian-Islamic arts, including Iranian painting. Ala Al-Dowleh Semnani is one of the most important Iranian mystics who has mystical reflection and attention to color and has used colors a lot in his Nourieh treatise which describes the journey and behavior of seekers. Khavaran-nama is one of the valuable works in the history of Iranian painting, which includes the admirable paintings of a painter named Farhad. Considering that Khavaran-nama has a theme for all Shiites, it seems that the painter has also benefited from mystical concepts. Therefore, in this study, the researcher seeks to answer the question that 1. Has the views (Opinions) of Ala Al-Dawla Simnani had an effect on the use of Imam Ali pictorial color illustrations in the Khavaran-nama? By examining the opinions of Ala Al-Dawla Simnani regarding color, he tries to show the mystical representation of color in the pictorial drawings of Imam Ali (peace must be upon him) in Khavaran-nama. The research method is descriptive-analytical and the method of collecting materials is a library collection. Farhad, by using distinctive and bright colors, has used them in the service of the core meaning, and according to the Shiite theme, it can be said that referring to Shiite and mystical sources of color has been very probable. [ABSTRACT FROM AUTHOR]

The article traces the transformation of black color in clothing as a sign of high ethical standards. And fashion itself began to operate as an axiological and ideological form, expressing and setting certain values. Thus, clothing as a color, on the one hand, becomes a sign of public indication and recognition, and on the other - an instrument of social segregation. [ABSTRACT FROM AUTHOR]

This paper investigates whether different shades of red clothes increase women's perceived attractiveness to men and women in digital photographs. We also examined whether there was any variance in perceived attraction according to the color shade of clothes due to personal physical color traits based on Personal Color Analysis System. Participants evaluated a woman's attractiveness presented in a photograph featuring different skin and hair colors and t-shirts in four red shades. The results indicate that the four different red shades—low chroma/high value, low chroma/medium value, high chroma/medium value, and low chroma/low value—examined in this study can enhance female attractiveness on a digital photo. Significantly, the high chroma and medium value—often considered vivid—red had a greater appeal to males and females in most skin and hair color types. This study is the first to investigate the perceived attractiveness of Asians wearing red in the context of digital photographs. The findings give insight to people and marketers with a better understanding perceived attractiveness of red clothing in digital photos. Additionally, this study confirms that the value and chroma of color, which was overlooked in previous research, should be considered as variables in studies of clothing color meanings. [ABSTRACT FROM AUTHOR]

In real life, people's life gradually tends to be simple, so the convenience of online shopping makes more and more research begin to explore the convenience optimization of shopping, in which the fitting system is the research product. However, due to the immaturity of the virtual fitting system, there are a lot of problems, such as the expression of clothing color is not clear or deviation. In view of this, this paper proposes a 3D clothing color display model based on deep learning to support human modeling-driven. Firstly, the macro-micro adversarial network (MMAN) based on deep learning is used to analyze the original image, and then, the results are preprocessed. Finally, the 3D model with the original image color is constructed by using UV mapping. The experimental results show that the accuracy of the MMAN algorithm reaches 0.972, the established three-dimensional model is emotional enough, the expression of the clothing color is clear, and the difference between the color difference and the original image is within 0.01, and the subjective evaluation of volunteers is more than 90 points. The above results show that it is effective to use deep learning to build a 3D model with the original picture clothing color, which has great guiding significance for the research of character model modeling and simulation. [ABSTRACT FROM AUTHOR]

Copyright of Sosyologca is the property of Sosyologca and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)