• Proceedings of the Korea Information Processing Society Conference
• /
• 2007.11a
• /
• pp.300-303
• /
• 2007

사용자의 행동을 모니터링 하는 것에 대한 이전의 기술적인 연구는 네트워크 트래픽과 데이터 베이스 접근 패턴에 집중되어 있으나 이러한 접근은 사용자간의 데이터를 교환하고 공유하는 등의 상호 작용을 관찰하기에는 부족하다. 따라서 'BHave' 라는 가상 환경에서 사용자의 행동을 추적할 수 있는 시스템을 개발하여 문서에 접근하는 사용자의 행동을 모니터링한다. 서버쪽의 데이터베이스에서 데이터를 가져와서 클라이언트의 API 를 통하여 사용자가 선택한 데이터를 분석한 뒤 사용자에게 그래프를 통해서 시각적으로 분석 결과를 보여준다.

• Journal of The Korean Association For Science Education
• /
• v.38 no.5
• /
• pp.667-680
• /
• 2018

The purpose of this study is to investigate 1) the types of knowledge students ask for in their reading comprehension of science textbooks using an online annotation system, 2) the accuracy of the knowledge provided by the students to their peers, 3) the frequency of knowledge sharing behaviors, 4) the evaluation of the effect of collaborative reading, and 5) the trust among peers as knowledge sharers. Questions made by 241 students in the second grade of middle school using an online annotation system in two chapters of the science textbook were analyzed using Bloom's revised taxonomy and their answers were grouped according to five accuracy categories. Also, questionnaires for the evaluation of the effectiveness of collaborative reading comprehension and of trust among the students were used. The students asked their peers 'understanding questions' which comprised almost 80% of the total questions they made and were similar with individual metacognitive strategies for reading comprehension. Of the total threads, 71% has scientifically correct threads shared by the students. The frequency of the knowledge sharing behaviors was high but this was affected by the rewards (point system). Students evaluated that collaborative reading comprehension conducted through an online annotation system were helpful in their learning. In addition, the ratio of students trusting their peers who did the knowledge sharing is over 80%. This study shows that when students use an online annotation system, they can fill one another's cognitive gaps in the reading process by sharing knowledge. Also, collaborative reading using an online annotation system has proved that cognitive individualization is possible through sharing knowledge interactively and dynamically, unlike reading hard copies of textbooks which are a one way information transfer.

• Journal of KIISE:Software and Applications
• /
• v.36 no.11
• /
• pp.955-959
• /
• 2009

In this paper, we propose a novel method for analyzing human interactions based on the walking trajectories of human subjects. Our principal assumption is that an interaction episode is composed of meaningful smaller unit interactions, which we call 'sub-interactions.' The whole interactions are represented by an ordered concatenation or a network of sub-interaction models. From the experiments, we could confirm the effectiveness and robustness of the proposed method by analyzing the inner workings of an interaction network and comparing the performance with other previous approaches.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2009.04a
• /
• pp.924-927
• /
• 2009

P2P 시스템은 피어들간의 자발적인 협력에 의해 구성되고 동작한다. 피어들이 파일 공유 시스템에 활발하게 참여하면 공유 파일 수의 증가로 서비스 향상을 가져올 수 있다. 그러나 일부 피어는 자신의 파일을 전혀 공유하지 않고 필요한 파일의 다운로드만 수행한다. 피어의 이와 같은 '무임승차(free riding)'은 다른 피어의 활발한 참여를 감소시키고 P2P 시스템의 서비스를 저하시킨다. 이에 본 논문에서는 파일 공유 시스템에서 피어의 행동을 참조하여 기여도를 계산하고 인센티브를 할당하는 인센티브 메커니즘을 제안하였다. 제안 메커니즘은 피어의 기여도에 따라 대역폭을 인센티브로 할당하여 차별화된 서비스를 제공한다. 본 논문에서는 실험을 통해 인센티브 메커니즘에서 신뢰 피어의 필요성과 피어의 기여도에 따라 서비스가 차별화되는 것을 확인하였다.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07a
• /
• pp.748-750
• /
• 2005

이질적인 컴퓨팅 환경에서 다중 응용 프로그램은 안정적으로 수행되기 위해 제한된 자원을 공유하며 서로 경쟁한다. 더욱이 응용 프로그램이 수행되는 환경으로부터 획득된 불완전한 정보와 정보로부터 적용 행동의 선택까지 소요되는 시간의 비용에서 발생하는 불확실성은 응용 프로그램이 환경에 적응하며 유연하게 동작하는 것을 어렵게 한다. 본 논문에서는 베이지안 네트워크를 이용하여 불확실한 정보를 확률 값으로 처리함으로써 적응 행동을 예측하도륵 한다. 또한, 실제 시뮬레이션을 통해 제안된 미들웨어의 유용성을 확인한다.

• Journal of Information Technology and Architecture
• /
• v.11 no.4
• /
• pp.471-483
• /
• 2014

The purpose of this study was to look over the sharing and flow of information on tourism tourist destination made through social media by utilizing social network analysis. In this research for compared the exchange and diffusion relationships and made information sharing among users of the network group for the Seoul / Busan Tourism Twitter. The first part of analysis dealt with the network centralization and information dissemination patterns from a global perspective. The second part was an analysis of nodes with the highest degree centrality in order to identify the most influential user within the Twitter network and determine the information flow and user characteristics with respect to the information dissemination pattern in Seoul/Busan tourism Twitter. The results scientific evidence was presented that social media users' information search behavior information to understand the sharing and spreading patterns, social media as a marketing tool, simple products and services that will ultimately provide the desired information detainee information is not a means of promoting utilization was presented.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.8 no.9
• /
• pp.647-658
• /
• 2018

Modern society is complex and rapidly changing, and knowledge sharing is needed to acquire and create knowledge. Knowledge sharing is the act of providing information knowledge and know-how of their own in order to cooperate with or help their colleagues. This study presents a research model using social capital theory to explain the mobile knowledge sharing behavior of virtual community members. Based on previous studies, social capital theory is divided into structural, relational, and cognitive aspects. It was composed of social interaction ties as a measure of structural aspect, trust as a measure of cognitive aspect, shared language, shared vision and relational aspect. After collecting survey data, factor analysis and regression analysis were performed using SPSS 22. In this way, we examined how the detailed factors of social capital affect information sharing behavior and how the level of knowledge sharing affects community promotion. The results showed that social interaction ties, shared language, shared vision, and trust affect knowledge sharing. Knowledge sharing has had a positive impact on community promotion.

• Journal of the Korean Society for information Management
• /
• v.29 no.3
• /
• pp.61-77
• /
• 2012

This study investigated what web users share on a health website and how the demographic characteristics of users reflect health information sharing behavior. By using a content analysis method, this study analyzed 1,042 randomly chosen messages in the discussion board of a health website. The results revealed that the health website users emotionally supported other users, provided health information, and built relationships between them. Two third of the health website users shared his/her thoughts or feelings about ALS (Lou Gehrig's Disease) on the health website and one fourth of the health website users connected with others who had ALS. A half of the users actively provided information as a direct response to a question. No significant differences were discerned with regard to total posting frequency by age and gender effect. However, the male users in the 50s answered questions to others more actively and tried to manage their life better than the other age groups.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.5
• /
• pp.463-474
• /
• 2023

Advances in technology have made it easier for organizations to share information and collaborate. However, collaboration systems where multiple entities share and access information are vulnerable to security. The concept of Software Bill Of Materials (SBOM) has emerged as a way to strengthen information security by identifying and transparently managing the components of software programs. To promote the adoption of SBOM in Korea, this study investigated the intention to use of collaboration system managers. This study was based on the theory of planned behavior and the integrated technology acceptance theory. The results of this study confirmed that performance expectations from SBOM adoption were an important variable for intention to use, and positive attitudes toward security also had an indirect effect through performance expectations. We found that SBOM adoption has an important causal relationship with performance due to the fact that it is targeted at enterprises, and that positive attitudes toward security and social climate can have a strong effect on intention to use.

• Proceedings of the KIEE Conference
• /
• 2005.07d
• /
• pp.2900-2902
• /
• 2005

본 논문에서는 환경과 시스템의 상호작용을 통한 경험에 의해 습득된 정보를 개체간 네트워크를 통하여 갱신하는 과정을 구성하는 연구를 하였다. 기존의 연구에서는 강화학습 알고리즘을 이용하여 임의의 구역에 대한 지도 정보를 습득하고 이를 바탕으로 개체들 각각의 최적의 행동 정책을 구성하는 바 이 때 각각의 체개체가 가지고 있는 최단경로에 대한 정보의 우위를 결정하는 과정을 추가하였다. 이를 바탕으로 최종적으로 선택된 경로에 대한 정보를 업데이트하여 구성 된 네트워크를 통한 개체간 데이터를 동시에 공유하는 과정을 거쳐서 각각의 시스템이 스스로 정보를 갱신하는 방법을 제안하였다 또한 이 제안한 개념의 적합성을 입증하기 위하여 개체간의 정보를 통합하고 비교하는 실험을 수행하여 성공적인 결과를 얻었다.