• Proceedings of the Korean Information Science Society Conference
• /
• 2006.06a
• /
• pp.124-126
• /
• 2006

가상 해저환경에 존재하는 군중 캐릭터 움직임을 수작업에 의존하는 기존의 애니메이션 제작 방법으로 제작할 경우 많은 시간과 비용이 필요하기 때문에 이를 자동화하여 보다 효율적이고 쉽게 제공하기 위해 장면의 사실성, 시스템의 성능 그리고 사용자와의 상호작용성을 적용하여 자연스러운 해저환경을 표현하고 군중 행동 장면을 생성을 위해서 자동화 기법이 개발되어야 한다. 본 논문에서는 군중 행동 시뮬레이터를 개발하여 해저환경속에서 사실적이고 효율적인 객체 표현을 위해 3D 객체에 군중행동양식을 부여하고, 상호작용이 가능하도록 다수의 Fish 군중행동 시뮬레이터를 설계한다.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2018.07a
• /
• pp.281-282
• /
• 2018

본 과제는 지구본에 비행기를 융합한 놀이 및 학습 도구이다. 기존의 지구본은 낮은 연령대의 아이들에게 교육적 효과를 줄 수 있으며, 유아에게 호기심 유발이 적고 국한된 정보를 제공한다는 문제점을 가지고 있었다. 본 과제에서는 유아에게 더 많은 호기심 자극과 정보를 제공할 수 있게 상호작용적 기능이 내장된 스마트 지구본을 제안한다. 본 연구의 결과는 유아 및 아동들에게 교육적 효과를 줄 수 있고, 스마트폰 어플리케이션 연동으로 인한 간단한 거리뷰 및 지도를 나타냄으로써 다양한 목적을 가지고 활용할 수 있을 것으로 기대된다.

• Journal of Internet Computing and Services
• /
• v.13 no.2
• /
• pp.119-126
• /
• 2012

The purpose of this study is to test the motivations for e-Learning service usage of smart device users. To do this, empirical data were collected by conducting a field survey with 382 smart-device based e-learners, and structural equation model was used for the purpose of analyzing the data acquired by the survey. A structural equation model was designed and constructed by such factors like usefulness, enjoyment, word-of-mouse(WOM) effect, and social interaction on e-Learning usage intention. In addition, social interaction has an influence on WOM effect. The results of the analysis are summarized as follows; first, usefulness, enjoyment, and WOM have direct effects on e-Learning usage intention. Second, social interaction not only has direct influence on e-Learning usage intention but also has indirect influence carried by WOM effect. The findings have significant implications which the study inquires into the factors for e-Learning usage motivations of smart-device based e-learners.

• The Journal of the Korea Contents Association
• /
• v.6 no.3
• /
• pp.75-84
• /
• 2006

The internet has the capabilities of supporting and facilitating several forms of consumer interaction including one-to-one, one to many, or many-to-many interactions. Especially, previous studies revealed that the Online Word-of-Mouth communication is widely used as a source of customer's information seeking and purchase decision making. Even with this importance of the Online Word-of-Mouth communication on internet, few research has systematically addressed the issue. This study investigates the effect of interpersonal communication on consumers' information search activities and develops a model that depicts the key antecedents and mediating variables of interpersonal communication in internet shopping environment. The results are as follows: First, choice uncertainty, perceived risk, and knowledge uncertainty play an important role for perceived usefulness. Second, perceived usefulness has directly affected interactive communication of consumers' communication style. Thus, it is essential for internet companies to find ways to encourage their customers to engage in word-of-mouth communication.

• Journal of KIISE:Software and Applications
• /
• v.30 no.10
• /
• pp.955-972
• /
• 2003

As the next significant software abstraction, software agents have generated lots of excitements in recent years because of its promise as a new paradigm for conceptualizing, designing, and implementing software systems. This promise is particularly attractive for creating software that operates in environments that are distributed, open, and complex, such as the Internet. The effort of developing agent systems have, however, suffered from lack of generalized agent architecture because of various properties of an agent and nonexistence of a standard agent architecture. An agent architecture is an important criterion in order to not only identify agents in their domain but also determine the software architecture of the system. The major contribution of the work described here is an object-oriented design of an agent architecture that addresses fundamental properties, which are autonomy and interaction. Object-oriented design method is used for identifying the internal modules of an agent architecture and organizing correlation between the modules are identified.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.11b
• /
• pp.235-237
• /
• 2005

도메인 조합 기반의 단백질-단백질 상호작용 예측 기법(DCPPIP)은 효모 단백질에 대하여 뛰어난 정확도를 보여준다. 그러나 다른 종에서의 예측 정확도 및 기법의 유효성은 아직까지 검증되지 않고 있다. 본 논문에서는, 초파리 및 인간 단백질을 이용한 예측 정확도 검증 및 이종간의 상호작용 예측 실험의 결과를 기술한다. 초파리와 인간 단백질의 실험에서는 각각 10,351개와 2,345개의 상호작용 단백질 쌍이 사용되었다. 초파리와 인간의 상호작용 단백질 쌍 중 $80\%$와 $20\%$를 각각 학습집단 및 실험집단으로 사용하였으며. 상호작용이 없는 단백질 쌍의 학습집단은 1배에서 5배까지 변화시키면서 예측 정확도를 관찰하였다. 정확도는 실험집단 중 학습집단과 도메인이 완전히 혹은 부분적으로 겹치는 쌍들에 대하여 계산하였다. 이 결과 초파리에서는 약 $77\%$의 민감도와 $92\%$의 특이도가 확인되었고 인간 단백질에 대하여는 약 $96\%$의 민감도와 $95\%$의 특이도를 보여주었다. 이종간의 상호작용 예측 실험은 효모, 초파리, 효모+초파리에 해당하는 학습집단 각각을 바탕으로 Human, Mouse, H. pylori, E. coli, C. elegans 등의 단백질 상호작용 예측을 수행하였다. 실험 결과 학습집단의 도메인이 실험집단의 도메인과 많이 겹칠 수륵 높은 정확도를 보여주었으며, 도메인 집단간의 유사도를 나타내기 위해 고안한 Domain Overlapping Rate(DOR)는 상호작용 예측 정확도의 중요한 요소임을 찾아 내었다.

• Korean journal of communication and information
• /
• v.38
• /
• pp.245-275
• /
• 2007

This study analyzes interactivity between formal policy and informal trade practices at outside production market of broadcasting production environment in Korea. For this, this study raises three topics. First, the trait of historical context of policy making at outside broadcasting production policy: Second, the trait and meaning of path dependency behavior in the process of trade practices between over-the-air TV Organization and independent production companies : Three, the meaning of interactivity between formal policy and informal trade practices at outside broadcasting production market. Major findings of this study are : the trait of policy making was concentrated on the quantitative rates of the outside production program. And, the trait of trade practices was unfair rivalry in accordance with the custom of insider dealing. The chief cause of the conflict structure of outside broadcasting production market is lacked in policy complement at the qualitative dimension.

• Journal of Intelligence and Information Systems
• /
• v.4 no.2
• /
• pp.35-44
• /
• 1998

자동차 사고 재구성이란 사고 상황으로부터 가능한 모든 정보를 수집, 분석하여 사고 거동 및 원인을 규명하는 작업을 의미한다. 본 논문에서는 자동차 사고 재구성에 직접 적용이 가능하도록 개발된 범용성의 정성적 충돌 전문가 시스템의 Prototype을 소개한다. 이 시스템은 충돌 전 물체의 운동 방향과 공간에서의 정보가 주어졌을 때, 충돌로 인한 물체의 순간적인 운동을 정성적으로 예측한다. 분야 모델은 정성적 충돌 이론과 정성적 계산을 제공하는 정성적 수학의 지식 베이스로 구성된다. 충돌로 인한 물체의 운동을 해석하는 데 있어, 충돌 전 물체의 운동 방향과 충돌시의 기하학적 배치사이의 상호 작용을 분석하는 것이 그 핵심을 이루고 있다. 본 논문에서는 그 상호 작용을 밝혀 내어 정성적 표현 방식에 의거하여 해석하는 충돌 이론을 소개하였다. 추론 기관을 설계하는데 있어서는 동력학 정보뿐만 아니라 공간 정보를 추론하기 위한 기법이 제시되었다.

• Journal of KIISE:Software and Applications
• /
• v.33 no.4
• /
• pp.365-377
• /
• 2006

Proteins are known to perform a biological function by interacting with other proteins or compounds. Since protein interaction is intrinsic to most cellular processes, prediction of protein interaction is an important issue in post-genomic biology where abundant interaction data have been produced by many research groups. In this paper, we present an associative feature mining method to predict implicit protein-protein interactions of Saccharomyces cerevisiae from public protein interaction data. We discretized continuous-valued features by maximal interdependence-based discretization approach. We also employed feature dimension reduction filter (FDRF) method which is based on the information theory to select optimal informative features, to boost prediction accuracy and overall mining speed, and to overcome the dimensionality problem of conventional data mining approaches. We used association rule discovery algorithm for associative feature and rule mining to predict protein interaction. Using the discovered associative feature we predicted implicit protein interactions which have not been observed in training data. According to the experimental results, the proposed method accomplished about 96.5% prediction accuracy with reduced computation time which is about 29.4% faster than conventional method with no feature filter in association rule mining.

• The KIPS Transactions:PartD
• /
• v.9D no.1
• /
• pp.65-74
• /
• 2002

This paper focuses components interactions which is important factor in designing software components. We classified several types of interaction between components and suggested appropriate graphical notation to extend UML and design process with extended method. Suggested notation and process was verified by practical experiment which is performed in travel agent component application. Representing interaction between components is not same to representing association between classes. UML in current version needs to be extended for representing this kind of components interaction. This research covers UML extension for components interaction and experiment for showing effectiveness.