• Proceedings of the Korea Multimedia Society Conference
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• 2003.05b
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• pp.476-479
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• 2003

전자문서 환경에서의 annotation은 그 특성상 원본문서의 내용이 변경될 경우 annotation의 대상인 앵커를 더 이상 참조할 수 없게 된다. 따라서 annotation 시스템에서는 반드시 원본문서 변경에 대한 앵커링 기능을 필요로 한다. 그러나 기존 연구에서는 앵커 텍스트의 변경을 고려하지 않거나 일반 텍스트 문서만을 대상으로 한다. 본 논문에서는 XML과 같은 구조문서 환경에서의 annotation 앵커링 기법을 제안한다. 제안된 기법에서는 XML 환경에서 앵커 텍스트 및 path정보에 대한 단계별 앵커링 과정을 수행한다. 또한 본 논문에서는 제안된 기법에 근거한 사용자 인터페이스를 제공한다. 그 결과 제안된 기법 및 시스템에서는 구조문서 환경에서 기존 연구 보다 심도 있는 앵커링을 보장하며 동시에 IETM, cyber-class, eLearing, semantic web 등의 다양한 분야에 효과적으로 적용 가능하다.

• Educational Technology International
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• v.9 no.2
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• pp.123-142
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• 2008

The purpose of this study was to examine how computer conferencing might facilitate collaborative learning for students to engage in meaningful discussion. The participants in this study consisted of the instructor and the students in a graduate level course. Different sources of evidence were used to triangulate the data: in-depth interviews, content analysis of transcripts of discussion, and other archival data including course syllabus, presentation materials, and lecture notes. Participants perceived web-based learning as collaborative process, providing opportunities to share the idea, respect and evaluate different perspectives, and co-construct new insights. Analysis of the data revealed several challenges related collaboration in a web-based learning environment: absence of a sense of community, technical problems, adaptability to different types of learner, and managing the discussion. The data also indicated that a variety of strategies were used to facilitate learning: building a sense of community, technical support, developing instructional methodologies, class size, and design of the content.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.1
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• pp.185-191
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• 2015

This paper suggest the safety class communication board in order to design the safety network of the nuclear safety class controller. The reactor protection system use the digitized networks because from analog system to digital system. The communication board shall be provided to pass the required performance and test of the safety class in the digital network used in the nuclear safety class. Communication protocol is composed of physical layer(PHY), data link layer(MAC: Medium Access Control), the application layer in the OSI 7 layer only. The data link layer data package for the cyber security has changed. CRC32 were used for data quality and the using one way communication, not requests and not responses for receiving data, does not affect the nuclear safety system. It has been designed in accordance with requirements, design, verification and procedure for the approving the nuclear safety class. For hardware verification such as electromagnetic test, aging test, inspection, burn-in test, seismic test and environmental test in was performed. FPGA firmware to verify compliance with the life-cycle of IEEE 1074 was performed by the component testing and integration testing.

• Journal of Korea Multimedia Society
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• v.9 no.8
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• pp.1037-1044
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• 2006

It's difficult to check cyber attacks and the performance of a security system in a real large-scale network. Generally, a new security system or the effect of a new security attack are checked by simulation. We use SSFNet to simulate our security system and cyber attack. SSFNet is an event-driven simulation tools based on process, which has a strength to be capable of expressing a large-scale network. But it doesn't offer any API's which can manipulate not only the related function of security but also the packet. In this paper, we developed a firewall and IPS class, used for a security system, and added to them components of SSFNet. The firewall is modelled a security system based on packet filtering. We checked the function of the firewall and the IPS with network modelled as using our SSFNet. The firewall blocks packets through rules of an address and port of packets. The result of this simulation shows that we can check a status of packets through a log screen of IPS installed in a router and confirm abnormal packet to be dropped.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.1
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• pp.663-668
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• 2017

This study was conducted to examine the possibility of developing a drawing course in online education and to assess the satisfaction and dissatisfaction of students. The drawing class consisted of a conceptual understanding of the drawing, learning actual techniques and performing drawing tasks. This course was rated on the content satisfaction scale and the course evaluation scale when it was developed in 2014 and partially modified in 2016. Both the content satisfaction and lecture evaluation showed similar scores to the average for all subjects in the school. Specifically, 'organization of content' received good reviews, while 'interaction' received a low rating in the content satisfaction scale. Additionally, 'enthusiasm' and 'response sincerity of teacher' received high ratings, but 'overall satisfaction' was low in the course evaluation scale. Finally, the self-assessment of students was also low. These results indicate that students want more practice and more active interactions.

• The KIPS Transactions:PartB
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• v.11B no.5
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• pp.597-602
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• 2004

In spite of recent increase in the use of avatar systems in Web and Virtual Reality, there has not been a service that allows users to control directly the avatar behaviors. In addition, the conventional behavior control languages required a lot of complicated information for controlling the behaviors, so that users had difficulty using them. To apply written languages to a different task domain, moreover, it was necessary to modify or rewrite the languages. In this paper, for the avatar behavior control more simply define, “Task-Level Behavior Description Language,” which allows description the avatar behaviors in each task domain and “Motion Representation Language,” which enables writing detailed data for motion control. The system, developed in this paper, “included an Interpreter,” which automatically creates the Motion Representation Language, allowing users to easily control the avatar behaviors simply with the Behavior Description Language. The system was also applied to cyber classes, and the Task-level Behavior Description Language was compared with conventional languages to see how it was more effective in behavior description.

• Journal of Information Science Theory and Practice
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• v.10 no.spc
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• pp.143-153
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• 2022

With the development of networks and the increase in the number of network devices, the number of cyber attacks targeting them is also increasing. Since these cyber-attacks aim to steal important information and destroy systems, it is necessary to minimize social and economic damage through early detection and rapid response. Many studies using machine learning (ML) and artificial intelligence (AI) have been conducted, among which payload learning is one of the most intuitive and effective methods to detect malicious behavior. In this study, we propose a preprocessing method to maximize the performance of the model when learning the payload in term units. The proposed method constructs a high-quality learning data set by eliminating unnecessary noise (stopwords) and preserving important features in consideration of the machine language and natural language characteristics of the packet payload. Our method consists of three steps: Preserving significant special characters, Generating a stopword list, and Class label refinement. By processing packets of various and complex structures based on these three processes, it is possible to make high-quality training data that can be helpful to build high-performance ML/AI models for security monitoring. We prove the effectiveness of the proposed method by comparing the performance of the AI model to which the proposed method is applied and not. Forthermore, by evaluating the performance of the AI model applied proposed method in the real-world Security Operating Center (SOC) environment with live network traffic, we demonstrate the applicability of the our method to the real environment.

• Journal of Digital Convergence
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• v.16 no.7
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• pp.213-222
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• 2018

The purpose of the study is to promote the expansion of educational environment and students' competence through the application of smart learning. In G University in 2017, 118 freshmen in the department of Chemical-bio engineering who were taking Calculus I class were divided into 2 groups of experimental and control group. The study analyzed the effect of the various learning experience using educational technology and the interaction in the class through SNS on students' visual understanding and academic achievement. The result shows that the students' academic achievement and satisfaction in the experimental group were higher than those in the control group. This verifies the potential of smart learning in the field of mathematics in the tertiary level and suggests strategies for high quality smart learning.

• Journal of Digital Contents Society
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• v.18 no.2
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• pp.329-338
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• 2017

This study aims to examine heterogeneous acculturation patterns of elite North Korean female defectors in South Korea. The study employed a synthetic comparative analysis. A series of in-depth interviews with 5 North Korean female defectors in South Korea were conducted. In addition, the research team implemented 20 open-ended surveys with other defectors. Through this study, we have found various types of cultural adaptation in the group of the elite North Korean women in South Korea. The study findings imply that it is imperative to establish national policies that support different types of North Korean defectors. Putting all North Koreans into one category might result in alienation and discrimination to some groups. Thus how the participants reframed their social identify in South Korea illuminates essential facets of human-right education, especially education for refugees and immigrants in different global and multi-cultural contexts.

• Journal of Technology Innovation
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• v.12 no.3
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• pp.1-24
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• 2004

E-Learning is another way of teaching and learning. E-learning is a networked phenomenon allowing for instant revisions and distribution, and goes beyond training and instruction to the delivery of information and tools to improve performance. The benefits of e-learning are many, including cost-effectiveness, enhanced responsiveness to change, consistency, timely content, flexible accessibility, and providing customer value. The proponents of e-learning stress the importance of using communities of interest to support and enhance the learning process. They also emphasizes that people learn more effectively when they interact and are involved with other people participating in similar endeavors. Although the role of e-learning in higher education has significantly increased, the resistance to new technology by professors and lecturers in university and colleges worldwide remains high. The purpose of this study is to identify the determinants of attitude and planned behavior toward e-learning class in universities. A survey methodology was used to investigate a proposed model of influence, and structural equation modeling was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that attitude toward e-learning systems is mostly influenced by the perceived ease of use as well as the level of perceived usefulness, where both factors are influenced by years of experiences in using cyber system and the technical support level. As in other TAM related research, it can be concluded that the perceived ease of use and perceived usefulness contribute to the future use of e-learning system.