• Proceedings of the Korean Society of Computer Information Conference
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• 2013.07a
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• pp.55-56
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• 2013

본 논문에서는 센서 클러스터에서 액터를 재배치하기 위하여 센서신호 공통 중첩영역을 추출하는 기법을 분석한다. 기존의 액터 재배치 알고리즘은 CH (Cluster Head)와 동일하게 센서들과 연결을 설정하고자 하는 액터를 CH가 있는 위치로 이동시킨다. 이러한 액터의 이동방법은 액터와 CH를 단순하게 결합하여 액터를 재배치하는 것이며, 액터와 CH가 서로 중첩되거나 충돌하는 문제점을 가지고 있다. 본 논문에서는 센서 클러스터에서 CH와 중첩 또는 충돌 없이 액터를 재배치하기 위해 센서신호 공통 중첩영역을 추출하는 기법을 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.19 no.8
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• pp.63-71
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• 2014

This paper proposes an algorithm that forms the clusters on the basis of hop distance in order to improve the actor coverage and connectivity in the sink-based wireless sensor and actor networks. The proposed algorithm forms the clusters that are distributed evenly in the target area by electing the CHs(Cluster Heads) at regular hop intervals from a sink. The CHs are elected sequentially from the sink in order to ensure the connectivity between the sink and the actors that are located on the CHs. Additionally, the electing are achieved from the area of the higher rate of the sensors density in order to improve the actor coverage. The number of clusters that are created in the target area and the number of the actors that are placed on the positions of the CHs are reduced by forming the clusters with regular distribution and minimizing the overlap of them through the proposed algorithm. Simulations are performed to verify that the proposed algorithm constructs the actor network that is connected to the sink. Moreover, we shows that the proposed algorithm improves the actor coverage and, therefore, reduces the amount of the actors that will be deployed in the region by 9~20% compared to the IDSC algorithm.

• The Journal of the Convergence on Culture Technology
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• v.8 no.3
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• pp.229-238
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• 2022

Through the converging concept of 'an actor doctor,' this paper deals with an actor and its double, the emotional care giver. In the first place, actor doctors have appeared in the medical scene as hospice volunteers. But, as a developing project, the concept of 'an actor doctor' leads to a professional emotional specialist who works at hospitals during the day and performing at the stage at night. In our contemporary culture, our emotional life is threatened by various social and environmental stimuli. The role of 'an emotional specialist' in our everyday life and hospitals is very essential to our healthy life. Against the backgrounds of the high emotional intelligence and the systemic training, actors are qualified to embody this social vision. From the perspectives of performance studies and cognitive studies, this paper tries scientific explanations of the role, the function, and the techniques of an actor doctor. By doing so, this paper seeks to build a scientific foundation for an actor doctor as an emotional specialist.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10b
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• pp.625-628
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• 1999

인간 동작의 애니메이션에 대해서는 지난 30년 동안 애니메이션 연구가들의 많은 관심을 모아 왔다. 최근에는 그 동안의 축적된 연구성과를 바탕으로 영화에 등장하는 인물을 애니메이션으로 처리하기 위한 디지털 액터의 연구가 진행되고 있다. 디지털 액터는 일반적인 휴먼 애니메이션에 의해 요구되는 사실성 면에서 차원을 달리하고 있다. 본 논문에서는 그동안 디지털액터의 모델링 및 애니메이션을 위한 여러 가지 방법들을 검토해 보고, 본인이 속해있는 서울대학교 휴먼애니메이션 연구단에서 수행해 가고 있는 연구테마와 중간 결과들을 소개한다.

• Electronics and Telecommunications Trends
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• v.20 no.4 s.94
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• pp.3-15
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• 2005

최근 흥행에 성공을 거둔 대부분의 영화는 첨단 CG 기술을 제작 공정의 50% 이상 활용하고 있으며 점차 영상 콘텐츠 제작에 CG 기술 사용 비율이 증가하는 추세이다. 본 논문에서는 ETRI 디지털 콘텐츠 연구단에서 연구 개발중인 실사 수준의 디지털 영상콘텐츠 제작기술에 관해 소개한다. 개발 기술은 현장 요구가 많은 대표적인 CG 기술인 영상기반 모델링, 영상기반 렌더링, 디지털액터 표현, 디지털액터 상호작용, CG/실사합성 기술을 포함한다. 엑스트라급 디지털액터 및 디지털 환경 제작 도구를 개발하였으며, 최종적으로는 주연급 디지털액터 및 디지털 환경 제작 도구를 개발할 예정이다.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.7
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• pp.893-898
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• 2005

Due to the merits that only a small amount of computation is needed for solutions and stochastic policies can be handled explicitly, the actor-critic algorithm, which is a class of reinforcement learning methods, has recently attracted a lot of interests in the area of artificial intelligence. The actor-critic network composes of tile actor network for selecting control inputs and the critic network for estimating value functions, and in its training stage, the actor and critic networks take the strategy, of changing their parameters adaptively in order to select excellent control inputs and yield accurate approximation for value functions as fast as possible. In this paper, we consider a new actor-critic algorithm employing an RLS(Recursive Least Square) method for critic learning, and policy gradients for actor learning. The applicability of the considered algorithm is illustrated with experiments on the two linked robot arm.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.7
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• pp.540-544
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• 2007

Researches on Sensor Network has become much more active and is currently being applied to many different fields. However since sensor network is limited to only collecting and reporting information regarding a certain event, and requires human intervention with that given information, it is often difficult to react to an event or situation immediately and proactively. To overcome this kind of limitation, Wireless Sensor and Actor Networks (WSANs) with immediate-response Actor Nodes has been proposed which adds greater mobility and activity to exisiting sensor networks. Although WSANs shares many common grounds with sensor networks, it is difficult to apply exisiting security technologies due to the fact that WSAN contains Actor Nodes that are resource-independent and mobile. This research therefore seeks to demonstrate ways to provide security, integrity and authentication services for WSAN's secure operation, by separating networks into hierarchcial structure by each node's abilities and providing different encryption key-based secure protocols for each level of hierarchy: Pair-wise Key, Node Key, and Region Key for sensor levels, and Public Key for actor levels.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.4
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• pp.519-524
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• 2009

Recently, reinforcement learning methods have drawn much interests in the area of machine learning. Dominant approaches in researches for the reinforcement learning include the value-function approach, the policy search approach, and the actor-critic approach, among which pertinent to this paper are algorithms studied for problems with continuous states and continuous actions along the line of the actor-critic strategy. In particular, this paper focuses on presenting a method combining the so-called ACFRL(actor-critic fuzzy reinforcement learning), which is an actor-critic type reinforcement learning based on fuzzy theory, together with the RLS-NAC which is based on the RLS filters and natural actor-critic methods. The presented method is applied to a control problem for crawling robots, and some results are reported from comparison of learning performance.

• TTA Journal
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• s.110
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• pp.27-28
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• 2007

• The Journal of Society for e-Business Studies
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• v.12 no.3
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• pp.1-17
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• 2007

A virtual enterprise (VE) can be mapped into a multi-agent system (MAS) that consists of various agents with specific role(s), communicating with each other to accomplish common goal(s). However, a MAS for enacting VE requires more advanced mechanism such as context that can guarantee autonomy and dynamism of VE members considering heterogeneity and complex structure of them. This paper is to suggest a context-based MAS as a platform for constructing and managing virtual enterprises. In the Context-based MAS a VE is a collection of Actor, Interaction (among Actors), Actor Context, and Interaction Context. It can raise the speed and correctness of decision-making and operation of VE enactment using context, i.e., information about the situation (e.g., goal, role, task, time, location, media) of Actors and Interactions, as well as simple data of their properties. The Context-based MAS for VE we proposed('VECoM') may consists of Context Ontology, Context Model, Context Analyzer, and Context Reasoner. The suggested approach and system is validated through an example where a VE tries to find a partner that could join co-development of new technology.