• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.336-343
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• 2006

본 논문에서는 여권 영 상에서 PCA 알고리즘을 이용한 얼굴 인증과 개선된 퍼지 신경망을 이용한 여권 코드 인식 방법을 제안한다. 본 논문에서는 여권영상에 대해 소벨 연산자를 이용하여 에지를 추출하고 에지가 추출된 영상을 수평 스미어링하여 여권코드 영역을 추출한다. 추출된 여권 코드 영역의 기울기를 검사하여 기울기 보정을 하고, 여권 코드 영역을 이진화 한다. 이진화된 여권 코드 영역에 대하여 8방향윤곽선 추적 알고리즘을 적용하여 여권 코드를 추출한다. 추출된 여권 코드는 퍼지 신경망을 개선하여 여권 코드 인식에 적용한다. 개선된 퍼지 신경 망은 입력층과 중간층 사이의 학습 구조로는 FCM 클러스터링 알고리즘을 적용하고 중간층과 출력층 사이의 학습은 일반화된 델타학습 방법을 적용한다. 그리고 학습 성능을 개선하기 위하여 중간층과 출력층의 가중치 조정에 적용되는 학습률을 동적으로 조정하기 위해 퍼지 제어 시스템을 적용한다. 제안된 퍼지 신경망은 목표값과 출력값의 차이에 대한 절대값이 ${\epsilon}$ 보다 적거나 같으면 정확으로 분류하고 크면 부정확으로 분류하여 정확의 총 개수를 퍼지 제어 시스템에 적용하여 학습률과 모멘텀을 동적으로 조정한다. 여권의 주어진 규격에 근거하여 사진 영역을 추출하고 추출된 사진 영역에 대하여 YCbCr와 RGB 정보를 이용하여 얼굴영역을 추출한다. 추출된 얼굴 영역을 PCA 알고리즘과 스냅샷(Snap-Shot) 방법을 적용하여 얼굴 영역의 위조를 판별한다. 제안된 방법의 여권 코드 인식과 얼굴 인증의 성능을 평가하기 위하여 실제 여권 영상에 적용한 결과, 기존의 방법보다 여권 코드 인식과 얼굴 인증에 있어서 효율적인 것을 확인하였다.s, whereas AVs provide much better security.크는 기준년도부터 2031년까지 5년 단위로 계획된 장래도로를 반영하여 구축된다. 교통주제도 및 교통분석용 네트워크는 국가교통DB구축사업을 통해 구축된 자료로서 교통체계효율화법 제9조의4에 따라 공공기관이 교통정책 및 계획수립 등에 활용할 수 있도록 제공하고 있다. 건설교통부의 승인절차를 거쳐 제공하며 활용 후에는 갱신자료 및 활용결과를 통보하는 과정을 거치도록 되어있다. 교통주제도는 국가의 교통정책결정과 관련분야의 기초자료로서 다양하게 활용되고 있으며, 특히 ITS 노드/링크 기본지도로 활용되는 등 교통 분야의 중요한 지리정보로서 구축되고 있다..20{\pm}0.37L$, 72시간에 $1.33{\pm}0.33L$로 유의한 차이를 보였으므로(F=6.153, P=0.004), 술 후 폐환기능 회복에 효과가 있다. 4) 실험군과 대조군의 수술 후 노력성 폐활량은 수술 후 72시간에서 실험군이 $1.90{\pm}0.61L$, 대조군이 $1.51{\pm}0.38L$로 유의한 차이를 보였다(t=2.620, P=0.013). 5) 실험군과 대조군의 수술 후 일초 노력성 호기량은 수술 후 24시간에서 $1.33{\pm}0.56L,\;1.00{\ge}0.28L$로 유의한 차이를 보였고(t=2.530, P=0.017), 술 후 72시간에서 $1.72{\pm}0.65L,\;1.33{\pm}0.3L$로 유의한 차이를 보였다(t=2.540, P=0.016). 6) 대상자의 술 후 폐환기능에 영향을 미치는 요인은 성별로 나타났다. 이에 따

• Journal of the Korean Chemical Society
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• v.48 no.3
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• pp.283-290
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• 2004

The purpose of this study were to develop of courseware using scaffolding strategy and to investigate the effect of courseware instruction upon students' conceptual understanding and affective domain including effort and self-checking. 10th grade students in the experimental and control groups were selected from high school at Cheongwon-gun in Chungbuk, and taught about chemical reaction rate for 3 class hours. The students in the experimental group studied individually through courseware using scaffolding strategy and worksheet and teacher-centered expository lesson was used in the control group. Prior to the instructions, test specification for problem-solving assessment (TSPSA) was administered and the scores of the previous science achievement test were obtained. After the instructions, the posttest on conceptual understanding and TSPSA were administered. Results of this study revealed that the mean score of the experimental group in the conceptual understanding test was similar to that of the control group at statistically significant level. This result implies that the courseware using scaffolding strategy could be a tool of the individualized instruction. The experimental group improved significantly better in three components of the TSPSA such as effort, self-checking, and cognitive strategy. From this result, it is considered that learners' self regulation is improved by being taken over responsibility of learning. So, it is suggested that instruction using scaffolding strategy is needed in science class to improve self-leading learning ability.

• Journal of Korean Home Economics Education Association
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• v.21 no.3
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• pp.83-98
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• 2009

The purposes of this study were to provide fundamental ideas regarding community- related experiential learning and improve cognitive attentions in Home Economics Education based on the previous research. Even though Home Economists recognize community needs related to individuals and families, there has been little attention to teaching and research of community-related experiential learning in Home Economics Education. This study explored 1) educational meaning in community-related experiential learning, 2) conceptualization of community-related experiential learning in Home Economics Education, and 3) application of community-related experiential learning. In addition, the strategies for community-related experiential learning in Home Economics Education and the implications for future research and Home Economics practice were provided in this study.

• The Journal of the Korea Contents Association
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• v.14 no.10
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• pp.403-415
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• 2014

This study explored three types of educational participatory motivations among 196 adult social work students at one of Cyber University in Seoul, Korea. and examined the relationship of educational participatory motivations and educational satisfaction, aiming to provide suggestions for increasing adult social work students' educational satisfaction. Results revealed that students had goal-oriented motivation the most, followed by learning-oriented motivation and activity-oriented motivation. Results showed that age and three types of educational participatory motivations, in order of goal-oriented, learning-oriented, and activity-oriented motivations, influenced educational satisfaction. In conclusion, this study suggested that cyber universities should improve educational environments including educational curriculum, in order to meet adult social work students' goal-oriented motivation, and provide methods to satisfy adult social work students' activity-oriented motivation, reflecting their altruism. In addition, young social work students' educational participatory motivations should be explored to increase their educational satisfaction.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.309-318
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• 2016

This study aims to investigate the effects of self-efficacy and self-directed learning readiness to self-leadership of nursing students. The data of self-efficacy, self-directed learning readiness and self-leadership was collected for the nursing students of K university in K city from Sep. 2015 to Nov. 2015. The results show that self-efficacy is different according to subjects' age, and self-directed learning readiness is different according to the grade. The correlations among self-efficacy, self-directed learning readiness and self-leadership are significant, and the self-directed learning readiness is a significant predictor of self-leadership. It is expected that the nursing students will be able to act as a leader in clinical practice and health care by promoting self-directed learning readiness from the university education, and it is required to develop and operate the self-directed learning readiness program including the opinions of learners.

• Journal of The Korean Association of Information Education
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• v.22 no.4
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• pp.439-446
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• 2018

With the development of the realm of software and its getting the limelight, technical-specialized high schools are trying hard to improve their students' ability in terms of the realm of software in the latest. This study compared and analyzed targeting for students who are learning Java program how much the type of personality of learners influences on the improvement of the resilience. As a result, the learners having introverted personality didn't have a meaningful result on the improvement of the resilience which is necessary for the programming learning. Vice versa, the learners having extroverted personality had a meaningful result on the improvement of the resilience through that personality. Through this research, we can seek after the way for the improvement of learners' resilience which mutually benefits learners having extroverted personality or introverted personality.

• Journal of IKEEE
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• v.20 no.1
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• pp.94-102
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• 2016

This paper proposes a new prediction method to reduce times and labor of repetitive multi-physics simulation. To achieve exact results from the whole simulation processes, complex modeling and huge amounts of time are required. Current multi-physics analysis focuses on the simulation method itself and the simulation environment to reduce times and labor. However this paper proposes an alternative way to reduce simulation times and labor by exploiting machine learning algorithm trained with data set from simulation results. Through comparing each machine learning algorithm, Gaussian Process Regression showed the best performance with under 100 training data and how similar results can be achieved through machine-learning without a complex simulation process. Given trained machine learning algorithm, it's possible to predict the result after changing some features of the simulation model just in a few second. This new method will be helpful to effectively reduce simulation times and labor because it can predict the results before more simulation.

• The Journal of the Korea Contents Association
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• v.14 no.6
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• pp.477-490
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• 2014

The purpose of this study is to investigate factors influencing continuous usage intention of mobile learning and suggest practical strategies to enhance learners' continuous usage intention of mobile learning. In this study, we hypothesized that system quality, information quality, service quality and personal innovativeness have a positive effect on effort expectancy and performance expectancy, which ultimately have a positive effect on continuous usage intention. In order to examine structural relationship among variables, we surveyed 279 students who took courses at W Cyber University in 2013 fall semester. After collecting data, we examined causal relationship among variables using Structural Equation Modeling. The results of this study are as follows: First, system quality and personal innovativeness significantly affect effort expectancy. Second, information quality, service quality and personal innovativeness significantly affect performance expectancy. Last of all, effort expectancy and performance expectancy significantly affect continuous usage intention of mobile learning.

• (The) Korean Journal of Educational Psychology
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• v.32 no.1
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• pp.183-205
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• 2018

This study aims to demonstrate the longitudinal structural relationship between learner-centered instruction, learning motivation, growth beliefs, and academic stress. In particular, this study was carried out to focus on the structural effect of the related variables using data from the 3rd to 5th year of the Gyeonggi Education Panel Study. Results showed that while learner-centered instruction positively predicted both intrinsic and extrinsic motivation of learners, it predicted the former better. In addition, learner-centered instruction influenced academic stress through motivation, both intrinsic and extrinsic motivation were found to increase stress. Further, growth beliefs mediated motivation with learner-centered instruction; specifically, learner-centered instruction influenced learners' positive beliefs about growth, and learners who had growth beliefs had intrinsic motivation. At the same time, external motivation tended to be lower for learners who believed in the possibility of growth. Finally, the perceptions of learner-centered instruction affected academic stress through changes in growth beliefs. However, the other 3 factors (learner-centered instruction, learning motivation, and academic stress) were not statistically significant. In conclusion, learner-centered instruction was able to mitigate academic stress, demonstrating that this relationship is influenced by changes in growth beliefs rather than learning motivation, as previously studied. These results suggest that learners' perceptions and beliefs contribute to not only intrinsic motivation but also academic stress. Furthermore, it is suggested that learners need to change their learning environments in positive ways.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.195-201
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• 2020

The purpose of this study is to examine an influence of university students' openness to diversity on learning agility, career decision level and the mediating effect of learning agility. The survey questionnaire was distributed to 215 university students who are majoring in airline cabin service management and SPSS 23.0, AMOS 23.0 program was used for statistical analysis of the data. The results of this study are as follows: First, openness to diversity has a positive effect on learning agility. Second, learning agility has a positive effect on career decision level. Third, learning agility has a full mediating effect between openness to diversity and career decision level. These results show that the more students enhance their openness to diversity and learning agility, the more students enhance their career decision level.