• Journal of Digital Contents Society
• /
• v.5 no.1
• /
• pp.54-60
• /
• 2004

This research employs the intelligent survey agent and online application from to help people to locate the information they would want from Internet quickly. Corporate sectors and indivisuals are in need of valuable and relevant information to swiftly adapt to the Internet-driven business or educational environment. Based on Internet GUI environment, this user-friendly online survey and online application form program uses the agent of increasing the interest and participation of users. The system helps along with the decision making process by quickening the information gathering process.

• Proceedings of the Korea Multimedia Society Conference
• /
• 2003.05b
• /
• pp.803-806
• /
• 2003

정보통신기술의 발전과 더불어 디지털 컨텐츠 유통시장의 환경 또한 정보, 네트워크, 기기가 하나의 큰 프레임워크를 형성하는 통합적인 형태로 변해가고 있으며, 예전의 물리적 형태의 전자상거래 환경에서 디지털화본 컨텐츠의 유통환경으로 발전해 가고 있다 그러나 디지털 컨텐츠는 신속하고 빠르게 복제가 되는 문제점 때문에 전자적 형태의 유통에 걸림돌로 자용하고 있다. 따라서 디지털 컨텐츠 유통을 위한 효율적, 지속적인 관리체계와 디지털 컨텐츠의 불법 복사/배포를 방지하는 방법이 고려되어야 한다. 본 논문에서는 디지털 컨텐츠 관리 및 저작권 보호, 컨텐츠의 출판, 유통 관리 보호 솔루션을 위한 DOI 기반의 Agent DRM 모델을 제안한다.

• Annual Conference of KIPS
• /
• 2008.05a
• /
• pp.946-949
• /
• 2008

네트워크를 사용하는 응용프로그램의 종류가 다양해지면서 네트워크 트래픽의 응용별 분류는 효율적인 네트워크 관리에 있어 그 중요성이 커지고 있지만, 오늘날 응용프로그램의 특징인 유동적인 포트번호 사용 및 패킷의 암호화 등은 트래픽의 응용별 분류를 더욱 어렵게 하고 있다. Well-known 포트기반의 응용별 분류방법의 단점을 극복하기 위하여 머신러닝 알고리즘과 Signature 기반 분석 방법들이 연구되고는 있지만 주장하는 높은 분석률에 비하여 실제 네트워크 트래픽에 적용하기에는 신뢰성이 부족하다. 본 논문에서는 일부 종단 호스트에 설치된 TMA(Traffic Measurement Agent)로 부터 수집한 응용프로그램의 트래픽 사용 정보를 기초로 하여 전체 네트워크 트래픽의 응용프로그램을 판별하는 응용 트래픽 분류 방법론을 제안한다. 제안된 방법론은 트래픽 플로우들의 상관관계를 이용하여 TMA 호스트 트래픽으로부터 TMA가 설치되지 않은 호스트에서 발생한 트래픽들의 응용을 판단하며, 분류 된 결과에 대하여 높은 신뢰성을 보장한다. 제안된 방법론은 학내 네트워크에 적용하여 그 타당성을 검증하였다.

• The Journal of the Korea Contents Association
• /
• v.14 no.4
• /
• pp.513-521
• /
• 2014

The purpose of this research is to develope and implement a convergent educational contents based on theoretical background of integrated education using agent based modeling in the ubiquitous learning environment. The structure of this contents consists of three modules that were designed by trans-disciplinary concept and situated learning theory. These three modules are: convergent problem presenting module, resource of knowledge module and learning of agent based modeling and IT tools module. After the satisfaction survey of the implemented content, out of 5 total value, the average value was 3.86 for effectiveness, 4.13 for convenience and 3.86 for design. The result of the survey shows that the users are generally satisfied. By using this u-learning contents, learners can experience and learn how to solve the convergent problem by utilizing IT tools without any limitation of device, time and space. At the same time, the proposal of structural design of contents can be a good guideline to the researchers to develop the convergent educational contents in the future.

• Journal of KIISE:Computing Practices and Letters
• /
• v.15 no.11
• /
• pp.861-865
• /
• 2009

As the hospital environment has been increasingly changed into a ubiquitous environment, the application services for the hospital environment are also faced with new requirements. In particular, the emergence of various mobile devices and the introduction of a wireless sensor network technology have accelerated the realization of the u-healthcare. The multi-agent paradigm has been introduced for satisfying both the integration of information and the various application scenarios established from various environments. This paper describes the software structure and u-applications for u-hospital information system based on ubiquitous environments. And it suggested the construction of a multi agent based distributed framework for supporting u-hospital information system. The suggested framework includes the JADE and distributed object group framework. And it implemented u-application services for supporting doctors and nurses, which provides the patient's health information and ward environment information. Especially, it is using a dynamic security mechanism on the security situation, which has not been emphasized in existing researches, and this paper shows the results for each user through the GUI.

• Journal of the Korea Society of Computer and Information
• /
• v.12 no.6
• /
• pp.21-30
• /
• 2007

Simulation means modeling structures or behaviors of the various objects, and experimenting them on the computer system. And the major approaches are DEVS(Discrete Event Systems Specification). Petri-net or Automata and so on. But, the simulation problems are getting more complex or complicated these days, so that an intelligent agent-based is being studied. In this paper, we are describing an intelligent agent-based simulation tool, which can supports the simulation experiment more efficiently. The significances of our system can be described as follows. First, the system can provide some AI algorithms through the system libraries. Second, the system supports simple method of designing the simulation model, since it's been built under the Finite State Machine (FSM) structure. And finally, the system acts as a simulation framework by supporting user not only the simulation engine, but also user-friendly tools, such as modeler scriptor and simulator. The system mainly consists of main simulation engine, utility tools, and some other assist tools, and it is tested and showed some efficient results in the three different problems.

• Journal of Internet Computing and Services
• /
• v.9 no.6
• /
• pp.165-177
• /
• 2008

An important issue in Multiagent reinforcement learning is how an agent should learn its optimal policy in a dynamic environment where there exist other agents able to influence its own performance. Most previous works for Multiagent reinforcement learning tend to apply single-agent reinforcement learning techniques without any extensions or require some unrealistic assumptions even though they use explicit models of other agents. In this paper, a Naive Bayesian based policy model of the opponent agent is introduced and then the Multiagent reinforcement learning method using this model is explained. Unlike previous works, the proposed Multiagent reinforcement learning method utilizes the Naive Bayesian based policy model, not the Q function model of the opponent agent. Moreover, this learning method can improve learning efficiency by using a simpler one than other richer but time-consuming policy models such as Finite State Machines(FSM) and Markov chains. In this paper, the Cat and Mouse game is introduced as an adversarial Multiagent environment. And then effectiveness of the proposed Naive Bayesian based policy model is analyzed through experiments using this game as test-bed.

• Journal of Digital Convergence
• /
• v.16 no.1
• /
• pp.317-325
• /
• 2018

A satisfactory ending of the project is crucial for the students to achieve success experience. In this study, we analyze the teams' dismantling before the project deadline. We propose a team dissolution model based on the assumption that the disharmony caused by the members' personality traits is the main reason for the team break up. The Dark Triad and the Communion are introduced to build the model. We simulated the proposed model using an agent-based simulation and analyzed the results. We found that the ratio of owning DT impacts the maximum allowable size of the team and the team's rate of dissolution, but the team has been able to reduce the team's dissolution rate by increasing the team's harmony. We expect that we efficiently used the developed model with the agent-based simulation for the studies related to the dismantling of teams.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.2 s.40
• /
• pp.285-294
• /
• 2006

The requirements of Computer Supported Cooperative Work supporting efficient cooperative or collaborative works between multi-users have been increasing in distributed environments. The various technical sections such as group communication technology and distributed processing technology should be provided in Cooperative Work. The replicated development of Cooperative Work applications of a number of common requirements increases development costs enormously and duplicated investment parts. Therefore, systematical development environments are required to develop these common requirements and applications efficiently in Cooperative Work applications development. In this study, we propose the hierarchical role-based coordination model that improves the coordination model of legacy mobile agent to be appropriate in Cooperative Work applications, and design the development environment for Cooperative Work applications based on mobile agent. The proposed hierarchical role-based coordination model provides multi-layered group concepts of mobile agent, and enables implementation of efficient coordination policy per group. Additionally, it supports efficient Cooperative Work application development by role assignment per group unit.

• Korean Journal of Construction Engineering and Management
• /
• v.17 no.4
• /
• pp.20-27
• /
• 2016

Emergency and evacuation planning is critical to reduce potential loss of life from flooding. In order to develop evacuation plans, emergency managers and decision makers require estimates of probable inundation areas and times of inundation. In this paper, we present an agent-based modeling approach that incorporates in a hydrodynamic model to estimate both of these properties. A case study is conducted modeling the failure of a dam located in Andong, South Korea. We estimate flood travel times for Manning's roughness coefficients and discharge using a coupling of the continuity equation and Manning's equation. Using the output from the hydrodynamic model and the flood travel times, the agent-based model produces flood inundation maps at each time interval. The model estimates that for two-thirds of the Andong region the time of inundation is estimated to be slightly less than three minutes. The results of this study can be used to in the development of emergency and evacuation planning for the region.