• 한국간호교육학회지
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• 제9권1호
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• pp.144-154
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• 2003

Recently, in the academic disciplines critical thinking has been emphasized as the new evolution in education. Problem-based learning is suggested as the evolutionary learning method in developing critical thinking. In the nursing education, PBL is offered as an appropriate teaching method to prepare nurse student for professional. PBL is a student-centered learning strategy aimed at developing critical thinking, motivating self-directed study and attaining autonomy. The purpose of this study was to develop the communication curriculum of nursing education based on PBL and implementing of it. PBL module was developed focused on five communication situations. And learning strategies to facilitate the learning process and the guided questions to stimulate student inquiry were also developed. This PBL education was conducted for six students in the master's course during the 14 weeks from March, 2000 to June, 2000. The outcomes of the PBL education were examined based on the content analysis of the students reflective journal. As a result, it was found that students experienced the effect of it focused on self-oriented, group-oriented, and practice-oriented domain. In the self-oriented domain, the findings indicate that there were 5 kinds of concepts including 'motivation for self-directed study', 'transition toward certainty in knowledge acquisition', 'attempt to apply their prior knowledge into new situation', 'enhancement of self-image in real situation', 'self-growth with self reflection'. In the group-oriented domain, there were 3 kinds of concepts including 'cognitive work in group', 'perception of co-responsibility in attaining learning objectives', 'socialization with group members'. In the practice-oriented domain, there were 3 kinds of concepts including 'linkage theoretical knowledge with real situation', 'attempt to apply in real situation', 'development problem solving skill in real situation'. In conclusion, PBL had a significant effect on self, group, and clinical domain. And assessing PBL outcomes is challenging because standardized instrument do not develop yet. So the findings of this study can suggest the basic data for examining the PBL outcome.

• 한국의류학회지
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• 제30권1호
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• pp.59-70
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• 2006

This study has analyzed females' motives and psychological experiences related to appearance-enhancement seeking behavior(weight control practice and cosmetic surgery). In this study, in-depth interviews were carried out to 11 females who had experienced weight control practices and cosmetic surgery in June 2001. There is social standard in ideal body image. One perceive a physical idea and own body through society(mass media, reference group), others and clothing, and recognize the ideal body and internalize the social standard as own worth. The discrepancies between ideal body image internalized as standards of own worth and real body image became a setup for body dissatisfaction. Increasing in body dissatisfaction, rejection of own body grow, furthermore body is perceived with distortion. In order to remove a negative body image and to reach ideal body image, appearance-enhancement seeking behavior such as weight control and cosmetic surgery is made. By appearance enhancing, one come to closer to ideal image of which one pursuit oneself. Therefore body satisfaction feeling increase, self·esteem rise, manner of life and character change to with affirmation. Otherwise, strengthening of appearance-concern and of appearance enhancement seeking desire has the possibility of developing into bulimia and cosmetic surgery addiction. Also, the standard of beauty in appearance rise by degrees, and that produces motives of appearance-enhancement seeking behavior.

• 대한가정학회지
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• 제43권12호
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• pp.15-28
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• 2005

This study groups the life content of adolescents according to their time spent during the week and compares their internet use. The data were collected from 2210 middle and high school students, including their life content and hours, and various internet factors such as self-evaluated internet addiction, internet support, internet experience, chatting subjects and the type of internet service. Adolescents were divided into five groups: TV-oriented group, computer-oriented group, peer-oriented group, self-study group and extracurricular institution group. The purpose of internet use, internet experience, chatting subjects, negative aspects of internet and internet addiction were different by adolescents' group type. The peer-oriented group had the highest real self image as opposed to the cyber self image and trusted other's words on the internet. The TV-oriented group had the lowest trust in the internet. The computer-oriented group received the highest internet support and internet experiences, but didn't use the internet for the purpose of information search. The self-study and extra-curricular institution groups used the internet the least, used it to solve stress and were interested in school circles on the internet.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2012년도 춘계학술발표대회
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• pp.336-339
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• 2012

VTK is a free but professional development platform for images three-dimensional (3D) reconstruction and processing. It is powerful, open-source, and users can customize their own needs by self-development of great flexibility. To give the doctors more and detailed information by simulate dissection to the 3-D brain MRI image after reconstruction. A Visualization System (VS) is proposed to achieve 3D brain reconstruction and virtual dissection functions. Based on the free VTK visualization development platform and Visual Studio 2010 IDE development tools, through C++ language, using real people's MRI brain dataset, we realized the images 3D reconstruction and also its applications and extensions correspondingly. The display effect of the reconstructed 3D image is well and intuitive. With the related operations such as measurement, virtual dissection and so on, the good results we desired could be achieved.

• International Journal of Internet, Broadcasting and Communication
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• 제13권1호
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• pp.210-218
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• 2021

CNN (Convolutional Neural Network), a type of deep learning algorithm, is a type of artificial neural network used to analyze visual images. In deep learning, it is classified as a deep neural network and is most commonly used for visual image analysis. Accordingly, an AI autonomous driving model was constructed through real-time image processing, and a crosswalk image of a road was used as an obstacle. In this paper, we proposed a low-cost model that can actually implement autonomous driving based on the CNN model. The most well-known deep neural network technique for autonomous driving is investigated and an end-to-end model is applied. In particular, it was shown that training and self-driving on a simulated road is possible through a practical approach to realizing lane detection and keeping.

• Journal of Magnetics
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• 제18권3호
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• pp.357-360
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• 2013

A modified SQI method using magnetic leakage flux (MFL) signal for underground gas pipelines' defect detection and characterization is presented in this paper. Raw signals gathered using MFL signals include many unexpected noises and high frequency signals, uneven background signals, signals caused by real defects, etc. The MFL signals of defect free pipelines primarily consist of two kinds of signals, uneven low frequency signals and uncertain high frequency noises. Leakage flux signals caused by defects are added to the case of pipelines having defects. Even though the SQI (Self Quotient Image) is a useful tool to gradually remove the varying backgrounds as well as to characterize the defects, it uses the division and floating point operations. A modified SQI having low computational complexity without time-consuming division operations is presented in this paper. By using defects carved in real pipelines in the pipeline simulation facility (PSF) and real MFL data, the performance of the proposed method is compared with that of the original SQI.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권3호
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• pp.1224-1242
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• 2018

Aiming at motion analysis and compensation, it is essential to conduct motion detection with images. However, motion detection and tracking from low-altitude images obtained from an unmanned aerial system may pose many challenges due to degraded image quality caused by platform motion, image instability and illumination fluctuation. This research tackles these challenges by proposing a modified joint transform correlation algorithm which includes two preprocessing strategies. In spatial domain, a modified fuzzy edge detection method is proposed for preprocessing the input images. In frequency domain, to eliminate the disturbance of self-correlation items, the cross-correlation items are extracted from joint power spectrum output plane. The effectiveness and accuracy of the algorithm has been tested and evaluated by both simulation and real datasets in this research. The simulation experiments show that the proposed approach can derive satisfactory peaks of cross-correlation and achieve detection accuracy of displacement vectors with no more than 0.03pixel for image pairs with displacement smaller than 20pixels, when addition of image motion blurring in the range of 0~10pixel and 0.002variance of additive Gaussian noise. Moreover,this paper proposes quantitative analysis approach using tri-image pairs from real datasets and the experimental results show that detection accuracy can be achieved with sub-pixel level even if the sampling frequency can only attain 50 frames per second.

• 한국멀티미디어학회논문지
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• 제23권2호
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• pp.135-145
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• 2020

Recently, deep-learning based methods for low-light image enhancement accomplish great success through supervised learning. However, they still suffer from the lack of sufficient training data due to difficulty of obtaining a large amount of low-/normal-light image pairs in real environments. In this paper, we propose an unsupervised learning approach for single low-light image enhancement using the bright channel prior (BCP), which gives the constraint that the brightest pixel in a small patch is likely to be close to 1. With this prior, pseudo ground-truth is first generated to establish an unsupervised loss function. The proposed enhancement network is then trained using the proposed unsupervised loss function. To the best of our knowledge, this is the first attempt that performs a low-light image enhancement through unsupervised learning. In addition, we introduce a self-attention map for preserving image details and naturalness in the enhanced result. We validate the proposed method on various public datasets, demonstrating that our method achieves competitive performance over state-of-the-arts.

• Child Health Nursing Research
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• 제7권3호
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• pp.342-358
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• 2001

The purpose of the study is both to develope the group counseling program applying Reality Therapy, by which positive body image could be conceived by adolescent women, by helping them identify their bodies as what they are, and then admit their real bodies, and also find out some practical methodologies of self-esteem, and to verify the program to show how effectively this program can be applied to them. Data were collected by self-reported questionnaires(body image and depression) from 59 high school girls in Seoul who were selected by criteria of this study, from the 1st of September to 10th of November, 2000. The experimental group participated in the group counseling by applying Reality Therapy with 8 sessions for 4 weeks. Descriptive statistics, homogeneity test, hypothesis testing, reliability were performed statistically by utilizing SAS pc program, and additionally the reaction due to the change of body image by adolescent women was also analyzed. The results drawn through the present study are as follows: 1. A hypothesis that 'adolescent women who participated in the group counseling program by applying Reality Therapy may get higher points on body image than adolescent women who did not participated' has been adopted (t=6.73, p=.000). 2. A hypothesis that 'adolescent women who participated in the group counseling program by applying Reality Therapy may get lower points on depression than adolescent women who did not participated' has been adopted (t=5.28, p=.000). 3. After applying the group counseling program, the degree of depression for upper group who obtained higher preliminary points on depression has decreased rather meaningfully more than that for lower group who obtained higher preliminary points(t=5.58, p=.000). 4. Reactions associated with positive change in body image of adolescent women who participated in the group counseling program by applying Reality Therapy has been shown to be body acceptance, enhancement of self-esteem, and change of value judgment of beauty. 5. The difference in the motivation and attitude of each group has been observed, by analyzing the reactions obtained from those who show the highest change of body image and those who show the lowest change of body image through the group counseling program by applying Reality Therapy. According to the present studies, it can be concluded that the group counseling program by applying Reality Therapy has turned out as an effective strategy for nursing intervention for adolescent women, by helping them form positive body images and reducing depression.

• 한국의류산업학회지
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• 제24권4호
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• pp.418-430
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• 2022

This study aims to analyze consumers' purchase decision-making process of buying avatar fashion items on the Metaverse platform. Drawing on the connection between the self-expression tendency of the MZ generation and that of avatars in the Metaverse, this study uses a qualitative research method to analyze how consumers express their self-image through the appearance of their avatars. Unlike previous studies on the clothing purchase decision-making process, this study shows that purchasing and consumption behavior involve the following six stages: recognizing desire, collecting information, evaluating alternatives, making purchases, evaluating the consumption, and post-purchase action-taking. In the first stage of the purchase decision-making process, consumers' desire arises with self-image expression and confirmation. In the second stage, consumers have a high tendency to shop in the best item category. In the alternative evaluation stage, consumers tend to seek items that match their highest standard while considering their personal preferences. In the fourth stage, when making actual purchases, unplanned purchase behavior often occurs along with an active practice of alternative evaluation. In the fifth stage, the evaluation of the consumption shows that consumers achieve satisfaction by applying a style to their avatars that they are unable to try in the real world. In the last stage, consumers often use their purchases to communicate their various styles with other online consumers. Therefore, we conclude that the online purchase decision-making process differs from the offline process as it is divided into six stages.