• Journal of Korea Society of Industrial Information Systems
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• v.11 no.2
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• pp.69-78
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• 2006

This paper is concerned with analyzing the images of Korean automobiles using, so called, sensory engineering, which adapts the sensory and subjective assessment of human beings in evaluating the quality of product. The methodology of analysis is suggested in this paper according to the following steps. First, 14 pairs of adjectives, which describe the image of object cars in view of the semantic differential method, are derived from consulting with several expert panels. Nextly, factor analysis is performed in order to obtain the axises, by which the images space of the object automobiles are specified, and then the images of the object automobiles are measured by the coordinate of all the object automobiles in the image space. In this paper, a sensory estimation experiment is performed to a panel consisting with In undergraduate students residing in the region of Daegu. From the result of analysis of this paper, target images, which the automobile manufacturers are intended, are achieved by and large except one company.

• Fashion & Textile Research Journal
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• v.21 no.3
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• pp.277-287
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• 2019

This study analyzes the online issues of design innovation by a fashion creative director. The study selected fashion house Gucci as the main subject and analyzed social media posts. As for study methods, a social matrix program Textom 2.0 collected 13,014 nouns and adjectives using 'Gucci Collection' as a search keyword from Naver Blogs from March to August 2014 and from March to August 2016. Design related issues were derived through semantic network analysis using Ucinet6 and the NetDraw program. The results of the keyword frequency analysis showed that social media user interest for the Gucci collection increased based on the rapid increase in the number of posts from 1,064 to 2,126 after changing the fashion creative director. The results of visualization of semantic network analysis and content analysis also showed that the main issues related to the Gucci collection design changed after the replacement of the fashion creative director. The study found that issues formed around the product information worn by celebrities for promotion purposes during the 2014 period; however, during the 2016 period, issues were formed around 'vintage' and 'retro' runway concepts with design styles related to Alessandro Michele, the new creative director.

• The Journal of the Korean dental association
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• v.56 no.12
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• pp.658-666
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• 2018

This study analyzes 21,686 dental clinic business names from 1946 to February 2016, where official records exist. The results of this study will be used as a historical data of Korean dental clinic and contribute to the decision of dental clinic name. According to the results of analysis, the first official dental clinic used in Korea was 'Chu' in 1946, 'Minsaeng' and 'Chusaeng' in 1958, and "Won" in 1959. In the 1960s, dentists' family names were often used as dental clinics. In the 1970s, dental clinic names were often used as dentists' family name, 'Jung-ang' and 'Seongsin'. In the 1980s, dental clinic name was used more than other names such as 'Seoul', 'Yonsei', 'Hyundai' and 'Sang-a' along with the dentist's family name. In the 1990s, a dental clinic name was used to refer to the words 'Yeonsei', 'Seoul', 'Hyundai', 'Sang-a', 'Isalang', 'Uli', 'Jeil', 'Bubu' used a lot. In the 2000s, Dental Clinic's name began to use english words such as $^{\circ}{\AE}Good$ Morning','White','Prime 'and adjectives such as 'Haengboghan', 'Ipyeonhan'. The characteristic of the dental clinic name in 2010 is the increase of the business name 'UD'. From 1946 to February 2016, the most commonly used dental clinic name was 'Seoul', 'Uri', 'Isarang', 'Yonsei', 'Hyundai', 'Good Morning' 'Jung-ang', 'UD', 'I', 'Miso'.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.125-130
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• 2020

The Korean maritime industry is growing rapidly as income levels rise. In particular, the domestic yacht market is generating steady market demand, which is a good opportunity for users who want to enjoy leisure. Among them, the experience-type yacht is operated smoothly around Suyeong Bay in Busan. In this study, a survey of experienced yacht users conducted an analysis focusing on color as much as the interior structure. The colors you experience when you stay in a specific space for a short time have a significant impact on the user's satisfaction and sensibility. Often, systematic research into space is often focused on physical distribution. However, color leaves a strong impression on short experiences as much information as it accepts through the optic nerve. A survey of yacht passengers was conducted to derive appropriate adjectives, and the results were obtained after analyzing them by means of I.R.I monochrome and image scale. Afterwards, it is expected that this research will be used as a theoretical basic data that can be used to carry out the production, repair, and repair of hands-on yachts that are developed on their own.

• Journal of the Korea Convergence Society
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• v.12 no.3
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• pp.1-7
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• 2021

Since Neural Machine Translation (NMT) uses only a limited number of words, there is a possibility that words that are not registered in the dictionary will be entered as input. The proposed method to alleviate this Out of Vocabulary (OOV) problem is Subword Tokenization, which is a methodology for constructing words by dividing sentences into subword units smaller than words. In this paper, we deal with general subword tokenization algorithms. Furthermore, in order to create a vocabulary that can handle the infinite conjugation of Korean adjectives and verbs, we propose a new methodology for subword tokenization training by separating the Jongsung(coda) from Korean syllables (consisting of Chosung-onset, Jungsung-neucleus and Jongsung-coda). As a result of the experiment, the methodology proposed in this paper outperforms the existing subword tokenization methodology.

• The Journal of Korean Medicine
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• v.43 no.1
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• pp.73-86
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• 2022

Objectives: In the health care industry, the influence of online reviews is growing. As medical services are provided mainly by providers, those services have been managed by hospitals and clinics. However, direct promotions of medical services by providers are legally forbidden. Due to this reason, consumers, like patients and clients, search a lot of reviews on the Internet to get any information about hospitals, treatments, prices, etc. It can be determined that online reviews indicate the quality of hospitals, and that analysis should be done for sustainable hospital marketing. Method: Using a Python-based crawler, we collected reviews, written by real patients, who had experienced Korean medicine, about more than 14,000 reviews. To extract the most representative words, reviews were divided by positive and negative; after that reviews were pre-processed to get only nouns and adjectives to get TF(Term Frequency), DF(Document Frequency), and TF-IDF(Term Frequency - Inverse Document Frequency). Finally, to get some topics about reviews, aggregations of extracted words were analyzed by using LDA(Latent Dirichlet Allocation) methods. To avoid overlap, the number of topics is set by Davis visualization. Results and Conclusions: 6 and 3 topics extracted in each positive/negative review, analyzed by LDA Topic Model. The main factors, consisting of topics were 1) Response to patients and customers. 2) Customized treatment (consultation) and management. 3) Hospital/Clinic's environments.

• Advanced Industrial SCIence
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• v.2 no.3
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• pp.29-36
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• 2023

The purpose of this study is to present basic data for hair color work plans that can consistently produce hair color design products for designers through analysis of gradient techniques among hair color design techniques. The research method was to select 10 photos of women that appeared in mass media from 2022 to September 15, 2023, extract color chips and RGB values using the Eyedropper Tool in Adobe Photoshop CS6, and convert the RGB values of the color chips into Munsell Conversion ( The data was converted into HV/C values of version 12.1.13a). Based on the extracted data, the gradient hair colors of female pop stars were analyzed by displaying the data on a color scale. As a result, in the I.R.I color scheme image scale, the image of female pop stars was more hard than soft. In addition, it was confirmed that the focus was on static rather than dynamic. Color matching images according to hair color were extracted with adjectives such as noble, decent, elegant, and subtle. Three hairstyles were created using this theme.

• Science of Emotion and Sensibility
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• v.25 no.4
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• pp.77-94
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• 2022

Social interactions often involve encountering inconsistent information about social others. We conducted a functional magnetic resonance imaging (fMRI) study to comprehensively investigate voxel-wise temporal dynamics showing how impressions are anchored and/or adjusted in response to inconsistent social information. The participants performed a social impression task inside an fMRI scanner in which they were shown a male face, together with a series of four adjectives that described the depicted person's personality traits, successively presented beneath the image of the face. Participants were asked to rate their impressions of the person at the end of each trial on a scale of 1 to 8 (where 1 is most negative and 8 is most positive). We established two hypothetical models that represented two temporal patterns of voxel activity: Model 1 featured decreasing patterns of activity towards the end of each trial, anchoring impressions to initially presented information, and Model 2 showed increasing patterns of activity toward the end of each trial, where impressions were being adjusted using new and inconsistent information. Our data-driven model fitting analyses showed that the temporal activity patterns of voxels within the ventral anterior cingulate cortex, medial orbitofrontal cortex, posterior cingulate cortex, amygdala, and fusiform gyrus fit Model 1 (i.e., they were more involved in anchoring first impressions) better than they did Model 2 (i.e., showing impression adjustment). Conversely, voxel-wise neural activity within dorsal ACC and lateral OFC fit Model 2 better than it did Model 1, as it was more likely to be involved in processing new, inconsistent information and adjusting impressions in response. Our novel approach to model fitting analysis replicated previous impression-related neuroscientific findings, furthering the understanding of neural and temporal dynamics of impression processing, particularly with reference to functionally segmenting each region of interest based on relative involvement in impression anchoring as opposed to adjustment.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.35 no.1
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• pp.27-45
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• 2024

The purpose of this study is to analyze the colors in the school libraries and identify the images of adjectives derived from the colors. This study investigated the hue (basic color), value (brightness) and chroma (color intensity) in the school libraries through KSCA program. It analyzed 15 school libraries from elementary schools to high schools. Furthermore, with the aids of I.R.I Adjective Image Scale, the adjective images of the colors could be identified. The results are as follows: In the elementary school libraries, the hue was used in the order of YR (yellow red), N (neutral), and Y (yellow), while in the order of YR (yellow red), N (neutral), and R (red) in the middle school libraries. All the school libraries had medium brightness on average, whereas the colors had a low chroma. As for the adjective images of the colors, the adjective 'gentle' has appeared the most in every school library. The school libraries have similar colors and adjective images for all levels, not presenting any particular differences in the colors of every interior space arrangement.

• Journal of Fashion Business
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• v.28 no.2
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• pp.76-91
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• 2024

This study analyzed the colors used in the logos of infants' and children's clothing brands, comparing them based on brand type and the pursued image. A total of 34 brands with the highest recent sales rates were selected. Among these, 17 were large-sized enterprise brands found in department stores, and the other 17 were in-house production enterprise brands. All colors used in the logos of the selected brands were extracted from the brand logo images. In addition, the study classified the pursued images of the selected brands using emotional adjectives in order to assess variations in different color attributes of the logos according to the brand type and pursued image. The study found that in-house production enterprise brands used lighter and more varied colors compared to department store brands. For both brand types, reddish-to-yellowish hues were most commonly used. Brands projecting a 'cute' and 'gorgeous' image exhibited a greater array of colors in their logos, while brands with a 'neat', 'modern', and 'luxurious' image used less saturated colors. In terms of logo type, symbol logos used the most colors with a moderate level of lightness, while typographic logos used the fewest colors with a low level of lightness.