• Journal of the Korean Society of Costume
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• v.43
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• pp.187-202
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• 1999

The objectives of this study were to analyze the effect of dress(Korean traditional dress and suit) of elderly Women and situation on impression formation. The experimental design was $10\times{2}\times{2(dress}\times{perceiver's age}\times{situation)}$ factorial design by 3 independent variables. The stimuli of color photographs of female in her 60's model and the semantic differential scale were used. Six variables of impression formation were used: preference: elegance: potency: activity: feminine: and modernity. Samples were 400 women 200 were in their twenties and 200 in their forties and fifties. The data were analyzed by $\alpha$-reliability t-test ANOVA and duncan's multiple range test. The Korean traditional dress with the combination of Korean traditional color(light blue upper dress with dark red purple collar and string.dark blue skit) had the most positive effect on impression of elegance. Pink traditional dress and light blue traditional dress had a negative effect on impression of potency activity and modernity. Red purple suit had a positive effect on potency and modernity. The interaction between dress perceiver's age and stituation was significant for the impression of activity. Women in their 40's and 50's perceived the activity of red purple suit positively in the situation of alumnae meeting more than in the wedding ceremony. The perceived age of the stimulus person was different according to dresses. Traditional dresses was perceived older than suits were. Women in their 40's and 50's evaluated preferences of the dresses positively more than 20's did. This means that 40's and 50's feel similarity with the stimulus person more than 20's as the age of model was in their 60's The result supports the theory that similarity is basic factor in interpersonal attraction.

• Journal of the Korea Society of Computer and Information
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• v.15 no.7
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• pp.83-90
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• 2010

In vocabulary recognition system has reduce recognition rate unrecognized error cause of similar phoneme recognition and due to provided inaccurate vocabulary. Input of inaccurate vocabulary by feature extraction case of recognition by appear result of unrecognized or similar phoneme recognized. Also can't feature extraction properly when phoneme recognition is similar phoneme recognition. In this paper propose vocabulary recognition post-process error correction system using phoneme likelihood based on phoneme feature. Phoneme likelihood is monophone training phoneme data by find out using MFCC and LPC feature extraction method. Similar phoneme is induced able to recognition of accurate phoneme due to inaccurate vocabulary provided unrecognized reduced error rate. Find out error correction using phoneme likelihood and confidence when vocabulary recognition perform error correction for error proved vocabulary. System performance comparison as a result of recognition improve represent MFCC 7.5%, LPC 5.3% by system using error pattern and system using semantic.

• Annals of Clinical Neurophysiology
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• v.8 no.2
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• pp.163-170
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• 2006

Backgrounds: MEG can measure the task-specific neurophysiologic activity with good spatial and time resolution. Language lateralization using noninvasive method has been a subject of interest in resective brain surgery. We purposed to develop a paradigm for language lateralization using MEG and validate its feasibility. Methods: Magnetic fields were obtained in 12 neurosurgical candidates and one volunteer for language tasks, with a 306 channel whole head MEG. Language tasks were word listening, reading and picture naming. We tested two word listening paradigms: semantic decision of meaning of abstract nouns, and recognition of repeated words. The subjects were instructed to silently name or read, and respond with pushing button or not. We decided language dominance according to the number of acceptable equivalent current dipoles (ECD) modeled by sequential single dipole, and the mean magnetic field strength by root mean square value, in each hemisphere. We collected clinical data including Wada test. Results: Magnetic fields evoked by word listening were generally distributed in bilateral temporoparietal areas with variable hemispheric dominance. Language tasks using visual stimuli frequently evoked magnetic field in posterior midline area, which made laterality decision difficult. Response during task resulted in more artifacts and different results depending on responding hand. Laterality decision with mean magnetic field strength was more concordant with Wada than the method with ECD number of each hemisphere. Conclusions: Word listening task without hand response is the most feasible paradigm for language lateralization using MEG. Mean magnetic field strength in each hemisphere is a proper index for hemispheric dominance.

• Korean Institute of Interior Design Journal
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• v.24 no.5
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• pp.42-50
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• 2015

In the 21st century, university library is changing into a new paradigm. Among others, color image emerges as an important aspect of the library. Up to now, studies on colors of indoor space have been limited on partial and specific spaces. But, this study, using the tool of emotional evaluation, aims to do a comprehensive research on color image of the whole space. This research uses the H University library completed in March 2015. This research is performed in the following procedure. First, previous related researches for the past ten years from 2005 to 2015 is examined, which will help understand the trends in this kind of research, and set up the concrete goal of research. By literature review, color image is established in the environmental psychological aspect. Second, to analyze colors, all the spaces of the library from the entrance lobby are filmed. Filmed images are changed into mosaic, and color palettes are composed, and color values are calculated using the Munsell color system. Third, emotional words are extracted, and emotional evaluation is made. Using the Semantic Differential scale method, emotional differences among subjects are compared, and the validity of the survey data is tested using the statistical program SPSS 18.0. As the outcome of the research shows, the color image and emotion in space are closely related. And, through emotion, it is possible to get color image, and this aspect can be scholastically systemized and developed.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.5
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• pp.319-328
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• 2013

Software maintainers try to comprehend software source code by intensively using source code identifiers. Thus, use of inconsistent identifiers throughout entire source code causes to increase cost of software maintenance. Although participants can adopt peer reviews to handle this problem, it might be impossible to go through entire source code if the volume of code is huge. This paper introduces an approach to automatically detecting inconsistent identifiers of Java source code. This approach consists of tokenizing and POS tagging all identifiers in the source code, classifying syntactic and semantic similar terms, and finally detecting inconsistent identifiers by applying proposed rules. In addition, we have developed tool support, named CodeAmigo, to support the proposed approach. We applied it to two popular Java based open source projects in order to show feasibility of the approach by computing precision.

• Korean Journal of Community Nutrition
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• v.18 no.1
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• pp.25-44
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• 2013

This study aimed to analyze about the perception in obesity and body somatotype of university students in Korea and in China. This study provides the basic data of nutrition education for university student healthy weight program in China. The subjects were selected 240 university students of Korea and China. Two types of qualitative and quantitative questionnaires were used to analyze the attitude and body somatotype of subjects. The results of this study were as follows: The average BMI of Korean and Chinese male students was 22.3 and 22.5, respectively while the average BMI of Korean and Chinese female students was 19.8 and 19.7, respectively. In the past three years, the weight gain of Chinese students was higher than that of Korean students. Chinese students preferred the overweight body somatotype more compared to the Korean students. The overweight and obese students had more obvious insufficiency in body somatotype perception. The overweight and obese students had higher tendency to 'eat more meat', 'drink carbonated beverages', 'eat convenience food', 'take fast food' and 'drink alcohol' than the normal and low weight group. The major reasons for Korean students to control weight were 'appearance' and 'self confidence', while the major reasons for Chinese students were 'health' and 'employment'. From the results of associative group analysis (AGA), Chinese students had different semantic value of 'obese' than Korean students. Considering of the food transition status in China, it may be necessary to develop more suitable education programs for weight control for Chinese university students.

• Journal of the Korean Society of Clothing and Textiles
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• v.15 no.2 s.38
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• pp.211-227
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• 1991

The purpose of this study was to investigate the effects of design modification, decoration and color scheme of traditional Korean women's clothing on impression formation by 2 age groups of women. The instruments developed for the study were 2 sets of stimuli and a response scale. Stimuli I (design stimuli) consisted of 6 line drawings of female figures in Korean clothing and modified Korean style clothing, whereas stimuli II (color stimuli) consisted of 6 colored drawings of female figures in different color schemes. The 7-point semantic differential scale of 14 bipolar adjectives were used for the response scales. 144 female college students and 144 middle·aged women subjects were randomly assigned to one of 6 drawings from each set of stimuli. The data were analyzed by factor analysis, ANOVA and t-test. 1) There factors emerged to account for dimensions of design and color scheme, respectively. The first factor was interpreted as Evaluation/prestige both in design (stimuli I) and color scheme (stimuli II), the second factor was Modernity for stimuli I, and the third factor for stimuli I was Practicality. On the other hand, the Luxuriousness/Individuality was factor 2 and Modernity was factor 3 for stimuli ll. 2) Modification had the largest effect on impressions regarding design and decorated designs had a partial effect on the impression of Modernity and Practicality. The female figures in modified Korean style clothing were perceived as more prestigious, modern and practical than those in traditional Korean clothing. 3) Color schemes had little effect on impressions, while perceiver's age had a larger effect. Middle·aged women formed more positive impressions toward Korean clothing of various color schemes than female college students.

• Journal of the Korean Society of Clothing and Textiles
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• v.26 no.3_4
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• pp.402-411
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• 2002

The objective of this study was to investigate sensibility images of Korean traditional motifs cognized by college students in U.S.A. The subjects consisted of 217 male and 351 female undergraduate students. The experimental materials used in this study were 48 stimuli and questionnaires, composed of 7-point semantic differential scales of 15 bipolar adjectives. Twelve motifs selected from 3 groups of Korean motifs were used as motif stimuli. Twelve repeated patterns were constructed from them to be applied on a CAD-simulated dress. The data were analyzed by factor analysis, ANOVA, Duncan's multiple range test. The major finding were as follows: 1. Four dimensions were emerged accounting for the dimensional structure of the images of Korean traditional motifs. These dimensions were ‘quality’, ‘simplicity’, ‘cheerfulnees’, and ‘modernity’. Among them, ‘quality’and ‘simplicity’were the major dimensions. 2. Category, interpretation type, composition type, and application object had significant effects on the images of above-mentioned dimensions. The interpretation type had a significant effect on ‘quality’image, the composition type on ‘cheerful’image, and the application object on ‘modernity’image.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.426-438
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• 2020

This study aimed to identify the components of the nurses' exposure experiences and clarify the semantic structure of nurses by analyzing the participants' experiences of exposure to radiation. The participants in this study were nine nurses who worked for at least six months in the operating room of a City General Hospital. The data were collected using in-depth interviews and analyzed using the phenomenological method by Giorgi's (2004). As a result, six components were derived: "worrying about the disease by repeated radiation exposures", "exhausting physically and mentally," "trying to protect themselves against radiation exposure", "feeling of internal confusion and conflict", "demanding improvement of work environment", and "accepting and adapting to reality". In conclusion, nurses participating in radiation exposure surgery are concerned about the possibility of disease, experience physical and mental fatigue, and then consider changing their occupation. On the other hand, they try to accept and adapt to reality by considering the possibility of a job change or trying to protect themselves from the harsh environment. To develop a radiologically safe environment, systematic and effective resolutions must be secured at the organizational level.

• Journal of the Korean Society of Safety
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• v.34 no.6
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• pp.50-57
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• 2019

In this study, various types of deep learning models that have been proposed recently are classified according to data input / output types and analyzed to find the deep learning model suitable for constructing a crack detection model. First the deep learning models are classified into image classification model, object segmentation model, object detection model, and instance segmentation model. ResNet-101, DeepLab V2, Faster R-CNN, and Mask R-CNN were selected as representative deep learning model of each type. For the comparison, ResNet-101 was implemented for all the types of deep learning model as a backbone network which serves as a main feature extractor. The four types of deep learning models were trained with 500 crack images taken from real concrete structures and collected from the Internet. The four types of deep learning models showed high accuracy above 94% during the training. Comparative evaluation was conducted using 40 images taken from real concrete structures. The performance of each type of deep learning model was measured using precision and recall. In the experimental result, Mask R-CNN, an instance segmentation deep learning model showed the highest precision and recall on crack detection. Qualitative analysis also shows that Mask R-CNN could detect crack shapes most similarly to the real crack shapes.