• Journal of Industrial Convergence
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• v.21 no.2
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• pp.33-42
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• 2023

This study was conducted to investigate the relationship between political interest, economic interest, sociocultural interest and intention of maintaining the nursing job against 291 nursing students from a university in C city from August to September 2022. The collected data were analyzed by t-test, ANOVA, and Pearson's correlations. The study showed political interest 3.35(maximum 5 points), economic interest 3.76(maximum 5 points), sociocultural interest 4.15(maximum 5 points), and intention of maintaining the nursing job were 3.40(maximum 5 points). In the correlation between variables, the correlation coefficient between political interest and sociocultural skill(r=.385, p<.01) was high, and economic interest and overall sociocultural interest were the most correlated(r=.534, p<.01). For the correlation with intention of maintaining the nursing job, sociocultural behavioral intention(r=.158, p<.01) and attitude(r=.131, p<.01) were statistically significant. Based on the results, repeated studies including political, economic, and sociocultural interest as variables influencing intention of maintaining the nursing job and future research on systematic and diverse educational programs including sociocultural attitudes and behavioral intention are suggested so the nursing job can be maintained for longer time as a profession.

• Journal of Nutrition and Health
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• v.51 no.6
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• pp.526-537
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• 2018

Purpose: The purpose of the study was to identify women's osteoporosis knowledge, concerns about osteoporosis factors, and health behavior as well as to examine the relationship between these variables. Methods: The participants were 394 women in the Jeonbuk area. The data were analyzed using a t-test, ANOVA, Duncan test, and hierarchical regression analysis with SPSS v. 24.0. Results: The score for osteoporosis knowledge was 6.21 points out of a possible 12, the score for concern about osteoporosis factors was 26.50 points out of a possible 40. The score for the health behavior was 57.26 points out of a possible 85. The knowledge showed significant differences according age (p < 0.01), income (p < 0.05), education level (p < 0.01), drinking milk in childhood (p < 0.05), health interest (p < 0.05), and osteoporosis information (p < 0.01). The concern showed significant differences according to age (p < 0.001), income (p < 0.05), health interest (p < 0.001), osteoporosis information (p < 0.001), family history of osteoporosis (p < 0.05), and calcium medications (p < 0.001). The health behavior showed significant differences according to age (p < 0.001), income (p < 0.01), drinking milk in childhood (p < 0.05), health interest (p < 0.001), osteoporosis information (p < 0.01), and calcium medications (p < 0.01). Regression analysis showed that the concern about osteoporosis factors was the most influential variable on health behavior, followed by health interest of the subjects, age, and the osteoporosis knowledge. Conclusion: Therefore, it is necessary to consider educational programs on increasing interest in osteoporosis according to the age and health for improving the health behavior to prevent osteoporosis.

• Journal of Broadcast Engineering
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• v.22 no.1
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• pp.70-77
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• 2017

Among available people counting methods, map-based approaches based on moving interest points have shown good performance. However, the stationary people counting is challenging in such methods since all static points of interest are considered as background. To include stationary people in counting, it is needed to discriminate between the static points of stationary people and the background region. In this paper, we propose a people counting method based on using both moving and static points. The proposed method separates the moving and static points by motion information. Then, the static points of the stationary people are classified using foreground mask processing and point pattern analysis. The experimental results reveal that the proposed method provides more accurate count estimation by including stationary people. Also, the background updating is enabled to solve the static point misclassification problem due to background changes.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.16 no.3
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• pp.117-122
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• 2023

Gaze estimation, which automatically recognizes where a user is currently staring, and object detection based on estimated gaze point, can be a more accurate and efficient way to understand human visual behavior. in this paper, we propose a method to detect the objects within the region of interest around the gaze point. Specifically, after estimating the 3D gaze point, a region of interest based on the estimated gaze point is created to ensure that object detection occurs only within the region of interest. In our experiments, we compared the performance of general object detection, and the proposed object detection based on region of interest, and found that the processing time per frame was 1.4ms and 1.1ms, respectively, indicating that the proposed method was faster in terms of processing speed.

• Journal of Advanced Navigation Technology
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• v.16 no.2
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• pp.386-393
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• 2012

In this paper, we propose an efficient multi-object recognition and tracking scheme based on interest points of objects and their feature descriptors. To do that, we first define a set of object types of interest and collect their sample images. For sample images, we detect interest points and construct their feature descriptors using SURF. Next, we perform a statistical analysis of the local features to select representative points among them. Intuitively, the representative points of an object are the interest points that best characterize the object. in addition, we make the movement vectors of the interest points based on matching between their SURF descriptors and track the object using these vectors. Since our scheme treats all the objects independently, it can recognize and track multiple objects simultaneously. Through the experiments, we show that our proposed scheme can achieve reasonable performance.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2000.10a
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• pp.517-521
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• 2000

본 논문에서는 영상 처리 방법을 이용하여 주어진 객체의 실세계 좌표를 나타내는 특징점을 인식하는 한 방법을 제안한다. 제안된 방법에서는 육면체 형상의 객체를 대상으로 하며, 이러한 객체 영상의 주요한 특징점은 육면체를 결정짓는 꼭지점들로 이루어진다. 제안된 방법은 CCD 카메라로부터 영상을 획득하는 영상 획득 모듈, 획득된 영상에 대하여 관심 영역을 찾는 영상 분할 모듈, 분할된 관심 영역에 대하여 sobel operator등을 이용하여 경계 정보를 검출하는 영상 처리 모듈, 그리고 세선화, line fitting과정을 통하여 직선 벡터들을 검출한 후에 객체의 주요한 특징점을 인식하는 모듈로 구성된다.

• The Journal of Korean society of community based occupational therapy
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• v.8 no.3
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• pp.37-47
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• 2018

Objective : The purpose of this study was to investigate the awareness, interest, and needs of the occupational therapy students for the dementia care center. Methods : We conducted an online questionnaire survey of 492 occupational therapy students nationwide from July 1 to 31, 2018. General characteristics and perceptions, interests and needs were analyzed by descriptive statistics. One way ANOVA and chi-square test were conducted to compare the differences between the items according to grade and age. Results : Lower awareness was found in National Responsibility for Dementia($2.61{\pm}1.0$), Dementia Care Center($2.84{\pm}0.9$) and role of an occupational therapist in the Dementia Care Center($2.94{\pm}0.9$) of the occupational therapy students. Interest to the employment was investigated between middle and high($3.42{\pm}0.9$). Education was not sufficient($2.98{\pm}0.8$), and the adequacy of fieldwork was moderate($3.07{\pm}0.8$). Conclusion : The results of this study can be served as basic data for enhancing competence as a specialist in the dementia care center. Also, it is expected to be a help to raise awareness of the occupational therapy students.

• Vending industry
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• v.6 no.1 s.16
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• pp.29-31
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• 2006

지난 4월 6일 마포 홀리데이인 호텔에서는 책자판기 사업설명회가 개최되었다. 김&정 출판 컨설팅社와 희망과 재미社가 주최한 이번 행사에는 많은 관계자들이 참석하여 새로운 책자판기 사업에 대한 뜨거운 관심을 반영케 했다. 이 사업이 무엇보다 관심을 집중시키는 것은 자판기만의 전용 콘텐츠가 다양하게 구비된다는 점이다. 즉 일반 서점이나 온라인 유통에서 취급하지 않은 자판기만의 도서 콘텐츠를 가지고 승부를 한다는 점이 획기적이다. 이러한 방식은 세계 최초의 의미 있는 시도로 많은 화제를 불러일으키고 있다. 차별화된 도서 유통과 콘텐츠로 승부하는 참신한 책자판기 사업. 관심이 집중되고 있는 그 뉴트랜드 제품의 전모를 살펴봤다.

• Journal of the Korea Convergence Society
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• v.8 no.11
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• pp.167-175
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• 2017

The purpose of this study was to investigate the convergence factors affecting behavior of oral health improvement perceived by the subjective oral health awareness perception factors in some college students. The questionnaire was conducted from April 10, 2017 to April 30, 2013 for 300 students at S university and the and the 290 final data were used. Oral health knowledge, oral health importance measured by 5-point, oral health status and oral health interest are 11.46, 1.71, 2.78, 2.52 respectively. Significant differences from experience of oral health education for oral health knowledge, oral health importance, oral health interest have been observed. The convergence factors influencing acts of oral health promotion were oral health status(${\beta}=-0.188$) and oral health interest(${\beta}=-0.265$) the higer the oral health status and oral health interest, the better acts of oral health promotion. Therefore, effective oral health education programs should be developed to increase oral health knowledge and interest in oral health and to change behavior and attitude.

• Proceedings of the KAIS Fall Conference
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• 2012.05b
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• pp.486-489
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• 2012

본 논문에서는 인간의 주의시각(Human Visual Attention)에 기반하여 영상에서 가장 유용하다고 생각되는 관심 영역(Salient Region)을 새로운 방식으로 탐지해내고 관심-객체를 검출하는 방법을 제안한다. 제안하는 시스템은 인간의 주의시각 특성인 주파수와 명도, 색상 특징을 이용하는데, 먼저 주파수-명도 정보를 이용한 특징 지도(Feature map)와 색상 정보를 이용한 특징 지도를 각각 생성 한 후 영상의 특징 점(Saliency Point)을 추출한다. 이렇게 생성된 특징 지도와 특징 점을 이용하여 집중 윈도우의 위치와 크기를 결정하고 집중 윈도우 내에 특징 지도를 결합하여 관심 영역을 탐지하고 해당하는 영역에 대해 관심-객체를 추출한다.