• Journal of Korean Elementary Science Education
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• v.39 no.1
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• pp.133-144
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• 2020

The purpose of this study is to identify the effect of Teacher Participation-oriented Education Program (TPEP) for Elementary School Teachers to Improve Class Expertise in Science Classes with a focus on visual attention. The participants were two elementary school teachers in Seoul and taught science subjects. The lesson topic applied to this study were 'Structure and Function of Our Body' in the second semester of fifth grade and 'Volcano and Earthquake' in the second semester of fourth grade. The mobile eye tracker SMI's ETG 2w, which is a binocular tracking system was used in this study. In this study, the actual practice time, participant's visual attention, visual intake time average, and visual intake time average were analyzed by class phase. The results of the study are as follows. First, as a result of analyzing the actual class execution time, the actual class execution time was almost in line with the lesson plan after the TPEP application. Second, visual attention in the areas related to teaching and learning activities was high after applying TPEP. Factors affecting the progress of the class and cognitive burdens were identified quantitatively and objectively through visual attention. Third, as a result of analyzing the visual intake time average of participants, there was a statistically significant difference in all classes. Fourth, as a result of analyzing the visual intake time average of participants, the results were statistically significant in the introduction(video), activity 1, activity 2, and activity 3 stages in the lecture type class. The Teacher Participation-oriented Education Program (TPEP) for Elementary School Teachers to Improve Class Expertise in Science Classes can extend elementary science class expertise such as self-class analysis, eye tracking, linguistic, gesture, and class design beyond traditional class analysis and consulting.

• Journal of Family Resource Management and Policy Review
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• v.20 no.2
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• pp.19-41
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• 2016

This study examines the human capital, economic capital, and psychological factors that influence social participation among the elderly in the future. The data, 'Survey on the Elderly in 2014', were collected from 'The Ministry of Health & Welfare' and the 'Korea Institute for Health and Social Affairs'. The samples included 10,279 elderly people who were over 65 years of age. Multiple regression analysis was used to analyze the research model. The findings are as follows. First, the highest participation awareness level of all was for the hobbies and leisure activities, and the lowest participation awareness level was for volunteer activities. Second, human capital factors such as age, education level, and health status, and economic capital factors such as household consumption expenditure and standard of living signigicant affected social participation awareness among the elderly. Psychological factors such as self-esteem, depression, and the subjective age of becoming elderly, also affected the social participation awareness. Third, awareness differed by sex. In particular, age and depression were restrictions of social participation awareness that were more common among elderly women than among elderly men, although single women were more likely to participate in religious, learning, and hobby and leisure activities. In contrast, chronic diseases and household consumption expenditures were more restrictive of social participation awareness among elderly men compared to elderly women. These results show that human capital, economic capital, and psychological factors heavily influence the social participation awareness of the elderly, although the degree of influence of these factors differs by sex.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.2
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• pp.393-398
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• 2005

본 논문에서는 ART2 기반 자가 생성 지도 학습 알고리즘을 이용한 운송 컨테이너 식별자 인식 시스템을 제안한다. 일반적으로 운송 컨테이너의 식별자들은 글자의 색이 검정색 또는 흰색으로 이루어져 있는 특징이 있다. 이러한 특성을 고려하여 원 컨테이너 영상에 대해 검은색과 흰색을 제외한 모든 부분을 잡음으로 처리하기 위해 퍼지를 이용한 잡은 판단 방법을 적용하여 식별자 영역과 잡음을 구별한다. 식별자 영역을 제외한 잡음 영역을 전체 영상의 평균 픽셀값으로 대체시킨다. 그리고 Sobel 마스크를 이용하여 에지를 검출하고, 추출된 에지를 이용하여 수직 블록과 수평 블록을 검출하여 컨테이너의 식별자 영역을 추출하고 이진화한다. 이진화된 식별자 영역에 대해 검정색의 빈도수를 이용하여 흰바탕과 민바탕을 구분하고 8방향 윤곽선 추적 알고리즘을 적용하여 개별 식별자를 추출한다. 개별 식별자 인식을 위해 ART2 기반 자가 생성 지도 학습 알고리즘은 입력층과 은닉층 사이에 ART2를 적용하여 은닉층의 노드를 생성하고, 은닉층과 출력층 사이에 일반화된 델타 학습 방법과 Delta-bar-Delta 알고리즘을 적용하여 학습 성능을 개선한다. 실제 컨테이너 영상을 대상으로 실험한 결과, 기존의 식별자 추출 방법보다 제안된 식별자 추출 방법이 개선되었다. 그리고 기존의 식별자 인식 알고리즘보다 제안된 ART2 기반 자가 생성 지도 학습 알고리즘이 식별자의 학습 및 인식에 있어서 우수한 성능이 있음을 확인하였다.

• Journal of Science Education
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• v.43 no.3
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• pp.342-362
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• 2019

This study is to explore the applicability of PBL classes in undergraduate education at a School of Dentistry. To do this study, PBL modules were developed and applied to the students with different background knowledge to easily learn Integrated Medicine and Lifescience classes. Participants were 12 students in the first year of Integrated MS program at P University. Four tutors who majored in Dentistry and had PBL teaching experience participated. As a result of the PBL classes, students' concepts and knowledge about gene expression and expression were expanded, and they recognized the importance of self-directed learners and experienced the importance of collaborative learning. PBL tutor presented a positive assessment of attending PBL class experience and the educational need for PBL instruction. The results of this study show the possibility of PBL as a model for Integrated Medicine and Lifescience class in Dentistry education.

• Journal of Educational Research in Mathematics
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• v.26 no.3
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• pp.509-525
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• 2016

This study is a follow-up study of the previous research for teacher education(Kim Nam Hee, 2006, 2009, 2013, 2014). This study was conducted with third grade students of the college of education in 2016. In this study, we guided to allow pre-service teachers to develop their teaching research ability and teaching practical skills using the results obtained from the in-service teachers training courses. Processes mainly performed in this study are as follows; learning the theory on Socrates' method, case study for thought experiment activities, instructional simulation using a Socrates' method, class analysis, textbook analysis, peer evaluation, self-assessment. Observing tutorial examples by in-service teachers, pre-service teachers were expanding their limited knowledge and experience. By analyzing the results obtained from this research processes, we checked the points to put more attention in future pre-service teachers education.

• The Journal of the Korea Contents Association
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• v.13 no.9
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• pp.355-368
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• 2013

In securities companies where corporate management performance is heavily dependent on the ability of salespeople, excellent sales-force with the ability to create high performance is very important. However, in the meantime, there was lack of studies on Private Banker's characteristics and sales behavior or sales performance. This study analyzed the effect of PB's characteristics on sales behavior in the Korean Securities Industry. The survey was conducted in March, 2013. 523 responses were used in the data analysis. As a result, PB's 4 characteristics- attitude to work, performance orientation, learning orientation, customer orientation- showed a positive impact on the sales behavior, and the organizational support showed positive moderating effect on this model. In this study, we reported that securities companies must reinforce training and self-development programs in order to improve the characteristics of the PB and to upgrade management performance. In particular, the securities has to rebuild organizational support system to improve the individual characteristics of the PB.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.10
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• pp.2180-2188
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• 2009

This paper is study on real-time hand gesture recognition system based on vision for intelligent robot control. We are proposed a recognition system using PCA and BP algorithm. Recognition of hand gestures consists of two steps which are preprocessing step using PCA algorithm and classification step using BP algorithm. The PCA algorithm is a technique used to reduce multidimensional data sets to lower dimensions for effective analysis. In our simulation, the PCA is applied to calculate feature projection vectors for the image of a given hand. The BP algorithm is capable of doing parallel distributed processing and expedite processing since it take parallel structure. The BP algorithm recognized in real time hand gestures by self learning of trained eigen hand gesture. The proposed PCA and BP algorithm show improvement on the recognition compared to PCA algorithm.

• The Journal of Korean Society for School & Community Health Education
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• v.6
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• pp.1-16
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• 2005

This study was conducted to the middle and high school students in some Seoul and Kyunki areas to identify the smoking behavior characteristics among adolescences. A self-administered survey was conducted to the 2nd grad students in 4 middle schools and 6 high schools and the survey Questionnaire included general characteristics, smoking and drug use history, the close people's smoking and drug use, smoking and drug abuse prevention education, smoking intention, and smoking attitude. A total of 2,452 youths finished the survey (1,182 middle school students and 1,270 high school students). Current smoking students were 14.6%, the ex-smokers were 5.5%, and the never smokers were 85.4%. Majority of students smoked less than 5 bars of cigarettes and their first smoking experiences were related to their family members (siblings, parents, and relatives), friends, advertisement in order. Other GYTS countries reported the similar sources of the smoking start and friend was prior smoking start factor to the other sources. The students who wanted to Quit smoking were 6.7% and the students who ever had tried to Quit smoking were 9.1%. The major reasons of Quitting smoking were for their health and for their financial burden. Approximately 60% learned about smoking and drug abuse in their regular school classes, 8.4% were in the special school activities, and 7.9% were in the class closing time sometimes in order. The students who learned in any regular class were smaller in the high school students than in the middle school students. The learning experiences in school of other GYTS countries were similar to that of Korea. In conclusion, students' smoking was affected not only by the preventive activities in school but also by the close people's behaviors and care in this study; therefore, the active partnership between school and family must be a strong strategy for youth's smoking prevention.

• Education of Primary School Mathematics
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• v.19 no.1
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• pp.61-78
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• 2016

The purpose of this study was to investigate the perceptions and perspectives on meanings and use of manipulatives in mathematics lessons. For the investigation, the researcher reviewed related literature and analyzed the perceptions of preservice teachers on the meanings and use of manipulatives in mathematics lessons. The participants were 75 preservice elementary school teachers who took a teaching practice course at the 1st or the 2nd semester in 2015. These preservice teachers observed mathematics lessons for two weeks during the student teaching periods. They were requested to observed the use of manipulatives in mathematics lessons and wrote about their ideas on the meanings and use of manipulatives. Result of the research was that the perceptions on the meanings and use of manipulatives from the preservice teachers' perspectives are as follows. Manipulatives in mathematics lessons were self-made or pre-made manufactures. The using time of manipulatives during lessons varies, and the teachers provide the manipulatives with contexts. Providing in-depth observation during a teaching practice course is allowed opportunities for preservice teachers to reflect their mathematics teaching and learning methods in the classroom.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2010.10a
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• pp.434-437
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• 2010

NIPS(Network Intrusion Prevention System) is in line at the end of the external and internal networks which performed two kinds of action: Signature-based filtering and anomaly detection and prevention-based on self-learning. Among them, a signature-based filtering is well known to defend against attacks. By using signature-based filtering, intrusion prevention system passing a payload of packets is compared with attack patterns which are signature. If match, the packet is discard. However, when there is packet delay, it will increase the required pattern matching time as the number of signature is increasing whenever there is delay occur. Therefore, to ensure the performance of IPS, we needed more efficient pattern matching algorithm for high-performance ISP. To improve the performance of pattern matching the most important part is to reduce the number of comparisons signature rules and the packet whenever the packets arrive. In this paper, we propose an improve signature hashing-based pattern matching method. We use tuple pruning algorithm with Bloom filters, which effectively remove unnecessary tuples. Unlike other existing signature hashing-based IPS, our proposed method to improve the performance of IPS.