• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.6
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• pp.1060-1071
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• 1997

The purpose of this study is to identify the effect of clothing cues(sleeve and skirt width, length) on female impressions. The experimental materials developed for this study are a set of stimuli and response scales. The stimuli are 16 pictures manipulated with sleeve and skirt width · length variations by computer drawing. The experimental design consists of 3 factorial design: (1) sleeve shapes(plain, upper expanded, below expanded, all expanded) (2) skirt width (wide, narrow) (3) skirt length(long, short) The 7-point semantic differential response scale designed for visual evaluation of female' s impression formation on sleeve shape and skirt width · length is 27 bipolar adjectives. The results of this study are as follows: 1. When we analize the impressions of female figure by sleeve shape and width · length of skirt, it becomes clear that maturity, modernity, attention, elegance and tenderness are proved to be important. Among these five factors, maturity, modernity and attention are identified as more important ones. 2. Sleeve shape have an effect on all factors except maturity and the effects of sleeve on the four factors are not striking. ' Width of skirt are most influential to the maturity and attention, but it does not have any effect on modernity. However two factor, that is width of skirt and sleeve have an effects on modernity, attention and tenderness. ' The length of skirt has an effects on the tenderness, elegance and modernity, but it dose not have any effect on attention. But width and length of skirt have an effects on attention, tenderness and modernity The length of skirt and sleeve have an effect on tenderness.

• Korean Journal of Cognitive Science
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• v.8 no.4
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• pp.63-75
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• 1997

Changes in visual sensitivity were investigated as a function of distance from the locus of attention. While a subject was fixating at a point on a frontal plane, one of the two attention inducing points placed horizontally and symmetrically 4。 apart from it was blinked and a target immediately followed at a location around the blinking dot. The subject's task was to decide and report whether the target was present or abscent. The rate of detection was the highest at the immediate vicinity of the locus of attention and decreased gradually as a function of the distance from it. Results of the experiments support the gradient model of attention-induced changes in visual sensitivity.

• Journal of Korea Multimedia Society
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• v.25 no.2
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• pp.421-431
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• 2022

The purpose of this research is to determine the point of fixation of the driver during the process of driving. Based on the results of this research, the driving instructor can make a judgement on what the trainee stare on the most. Traffic accidents have become a serious concern in modern society. Especially, the traffic accidents among unskilled and elderly drivers are at issue. A driver should put attention on the vehicles around, traffic signs, passersby, passengers, road situation and its dashboard. An eye-tracking-based application was developed to analyze the driver's gaze behavior. It is a prototype for real-time eye tracking for monitoring the point of interest of drivers in driving practice. In this study, the driver's attention was measured by capturing the movement of the eyes in real road driving conditions using these tools. As a result, dwelling duration time, entry time and the average of fixation of the eye gaze are leading parameters that could help us prove the idea of this study.

• Journal of the Korean Society of Industry Convergence
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• v.25 no.3
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• pp.397-406
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• 2022

Recently, research and development to revitalize smart construction are being actively carried out. Accordingly, 3D mapping technology that digitizes construction site is drawing attention. To create a 3D digital map for construction site a point cloud generation method based on LiDAR(Light detection and ranging) using MMS(Mobile mapping system) is mainly used. The purpose of this study is to analyze the accuracy of MMS LiDAR-based point cloud data. As a result, accuracy of MMS point cloud data was analyzed as dx = 0.048m, dy = 0.018m, dz = 0.045m on average. In future studies, accuracy comparison of point cloud data produced via UAV(Unmanned aerial vegicle) photogrammetry and MMS LiDAR should be studied.

• The Korean Journal of Community Living Science
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• v.26 no.1
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• pp.39-49
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• 2015

This study evaluates nutrition knowledge, dietary behaviors and food group acceptability based on a sample of 514 of new employees in Gyeonggi area. Among the respondents, 70.6% of male, and their age was 30.7 Most were college graduates (94.9%) and unmarried (86.3%). Based on the BMI males tended to be overweight, whereas females, normal. In terms of health consciousness based on five-point Likert-type scale, the average score for the health status was 4.18 indicating good health, and health attention was 4.88 indicating high health attention. Dietary behaviors were evaluated using five-point Likert-type scale. According to the results, the total score for regular diet based on 5 items was 9.6; that for a balanced diet based on 7 items was 22.2; and that for practical diet action based on 8 items was 22.3. That is, the respondents were on an irregular diet but tried to balanced diet through appropriate diet action. Food acceptability was evaluated using a five-point Likert scale ranging from "strongly dislike(1)" to "strongly like(5)". The score of meat group was 3.67; that for the fish 3.43; and that for the vegetable group was 2.86. Females were slightly more like to accept fruits 3.60 than males 3.48;(p<0.05). The total score for nutrition knowledge based on 35 items was 20.5. A balanced diet was correlated with egg acceptability (p<0.01); energy-related knowledge with confectionery preferences (p<0.05); and vitamin knowledge, with snack affinity (p<0.05). Health attention was negatively correlated with seafood preferences for male(p<0.05) and with snacks for females(p<0.05). The respondents were strongly interested in and aware of their health, but this did not lead to their food preferences. These results suggests that dietary habits can lead to nutritional balance for maintaining the health of employees.

• Korean Institute of Interior Design Journal
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• v.26 no.2
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• pp.3-12
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• 2017

This study has analyzed the features of attention to spacial composition seen in "Seeing ${\leftrightarrow}$ Seen" Correlation of continuous move in the space. The eye-tracking was employed for collecting the data of attention features to the space so that the correlation between visual perception and space could be estimated through the attention features to the difference between spacial composition and display. First, it was confirmed that the attention features varied according to the structure of shops and the exposure degree of selling space, which revealed that, while causing the customers' less attention to both sides of shops, the vanishing-point structure characteristically made their eyes focused on the central part. Second, their initial observation activities were found to be active at the height of their eyes. Third, 10 images were selected as objects for continuous experiment. There was a concern that the central part of each image would be paid intense attention to during the initial observation, but only two of those were found to be so. Fourth, there had been a study result of eye-tracking experiment that the attention had been concentrated on the central part of the image first seen. This study, however, revealed that such phenomenon is limited to the first image. Accordingly, it is necessary to draw up such method for ensuring reliability in order to use the data acquired from any eye-tracking experiment as exclusion of the initial attention time to the first image or of unemployment of the initial image-experiment to analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.528-529
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• 2023

Due to vast points and irregular structure, labeling full points in large-scale point clouds is highly tedious and time-consuming. To resolve this issue, we propose a novel point-based transformer network in weakly-supervised semantic segmentation, which only needs 0.1% point annotations. Our network introduces general local features, representing global factors from different neighborhoods based on their order positions. Then, we share query point weights to local features through point attention to reinforce impacts, which are essential in determining sparse point labels. Geometric encoding is introduced to balance query point impact and remind point position during training. As a result, one point in specific local areas can obtain global features from corresponding ones in other neighborhoods and reinforce from its query points. Experimental results on benchmark large-scale point clouds demonstrate our proposed network's state-of-the-art performance.

• Journal of Digital Convergence
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• v.19 no.5
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• pp.307-313
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• 2021

In this paper, a lightweight network with fewer parameters compared to the existing object detection method is proposed. In the case of the currently used detection model, the network complexity has been greatly increased to improve accuracy. Therefore, the proposed network uses EfficientNet as a feature extraction network, and the subsequent layers are formed in a pyramid structure to utilize low-level detailed features and high-level semantic features. An attention process was applied between pyramid structures to suppress unnecessary noise for prediction. All computational processes of the network are replaced by depth-wise and point-wise convolutions to minimize the amount of computation. The proposed network was trained and evaluated using the PASCAL VOC dataset. The features fused through the experiment showed robust properties for various objects through a refinement process. Compared with the CNN-based detection model, detection accuracy is improved with a small amount of computation. It is considered necessary to adjust the anchor ratio according to the size of the object as a future study.

• Journal of Korean Medical classics
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• v.19 no.4
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• pp.193-201
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• 2006

These days, in Korean Traditional Medicine, acupuncture is attracting our attention. As a result, many kinds of acupuncture method are developed. Especially, Saam's Acupuncture, Hwa Acupuncture are usually used in clinic, today. All of them use Five Transporting Point(五輸穴) and are based on theory of intergeneration/interinhibition among the Five Element(五行相生相克理論). They belong to Five Element Acupuncture(五行鍼法). This paper introduce the Medicine-Changes Three Point Acupuncture which is another form of Five Element Acupuncture and study its significance.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.808-810
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• 2004

본 논문에서는 Contrast map과 Salient point를 이용하여 영상에서 중요한 객체를 자동으로 추출하는 방법을 제안한다. 우선 인간의 시각 체계와 유사한 밝기(luminance), 색상(color) 그리고 방향성(orientation) 3가지의 특징정보를 이용하여 각각의 특징정보로부터 feature map을 생성하고 이 3가지의 feature map을 선형 결합하여 contrast map을 생성한다. 이렇게 생성된 하나의 contrast map을 이용하여 대략적인 Attention Window (AW)의 위치를 결정한다. 다음으로, 영상으로부터 웨이블릿 변환을 적용하여 salient point를 찾고, salient point의 분포와 contrast map의 중요도에 따라 AW의 크기를 실제 중요 객체의 크기와 가장 유사하도록 축소시킨다. 이렇게 선택되고 축소된 AW안에서 실제 중요 객체를 추출하기 위해 AW 내부에 존재하는 영상에 대해서만 영상 분할을 하고 불필요한 영역을 제거하여 자동으로 중요객체를 추출하도록 한다.