• International Journal of Fuzzy Logic and Intelligent Systems
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• 제8권4호
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• pp.254-259
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• 2008

Uncertainty of result of context awareness always exists in any context-awareness computing. This falling-off in accuracy of context awareness result is mostly caused by the imperfectness and incompleteness of sensed data, because of this reasons, we must improve the accuracy of context awareness. In this article, we propose a novel approach to model the uncertain context by using ontology and context reasoning method based on Bayesian Network. Our context aware processing is divided into two parts; context modeling and context reasoning. The context modeling is based on ontology for facilitating knowledge reuse and sharing. The ontology facilitates the share and reuse of information over similar domains of not only the logical knowledge but also the uncertain knowledge. Also the ontology can be used to structure learning for Bayesian network. The context reasoning is based on Bayesian Networks for probabilistic inference to solve the uncertain reasoning in context-aware processing problem in a flexible and adaptive situation.

• 한국IT서비스학회지
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• 제11권sup호
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• pp.165-176
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• 2012

Context-Awareness system provides an appropriate service to user by recognizing situation from surrounding environment. There are many successful studies on this framework, but still has some limitations. In this paper, we are describing a context-awareness middleware that can enhance the limitation of the previous approaches. We first defined a new concept of context-awareness environment as a social intelligence. This concept implies that intelligent objects can make relationships, can aware of situation from surrounding environment, and can collaborate to accomplish a given task. The significance of the study is as follows. First, the system is capable of multi context-awareness since it is designed with a structure that supports multiple lines of reasoning. Second, the system is capable of context planning by adapting AI planning mechanism. Third, the system is capable of making the intelligent objects as a group for collaboration, and provides adaptive service to user. We have developed a prototype of the system and tested with a virtual scenario.

• 한국게임학회 논문지
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• 제14권1호
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• pp.93-102
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• 2014

자율 캐릭터는 게임에서 사용자 캐릭터와 협업하여 게임을 진행하거나, 사용자 캐릭터와 대전을 수행한다. 자율 캐릭터의 자연스러운 행동 제어를 위해, 본 논문에서는 상황인지 기법을 제안한다. 상황인지 기법은 자율 캐릭터의 현재 상태에서 활용할 수 있는 상황 정보를 분석한 후, 현재 상황에 맞는 행동을 자동 생성한다. 상황인지 기법은 자율 캐릭터의 현재 상황에서 발생하는 상황 요소의 정보 가치를 분석하고, 분석된 상황 요소 정보를 활용하여 캐릭터의 자연스러운 행동을 생성한다. 본 실험에서 상황인지 기법이 규칙기반 기법보다 평균 39%의 성능 향상을 나타냈고, 정보획득 기법보다는 평균 8%의 성능 향상을 나타냈다.

• 한국실내디자인학회논문집
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• 제19권3호
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• pp.251-259
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• 2010

The purpose of this study is to show the characteristics of integrated welfare center space by applying Context-Awareness technology in order to provide user-friendly services for efficient use of integrated welfare centers as more and more people are interested in using welfare integrated welfare centers which have increasingly been supplied. For this study, we propose the spaces which provide users of integrated welfare centers with proper services by applying Context-Awareness after reviewing the theory of Context-Awareness through literature study as well as case analysis and choosing the reasonable Context-Awareness technology for integrated welfare centers. As it is possible to efficiently provide users with safety service, information service and convenient service by the analysis of space, users' movement in lobby where Context-Awareness is applied and the lobbies of integrated welfare centers in Munsan area, Paju-si out of domestic cases about integrated welfare centers, the different type of spaces from the existing one is expected.

• 제어로봇시스템학회논문지
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• 제18권8호
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• pp.780-786
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• 2012

Surveillance has become one of promising application areas of wireless sensor networks which allow for pervasive monitoring of concerned environmental phenomena by facilitating context awareness through sensor fusion. Existing systems that depend on a postmortem context analysis of sensor data on a centralized server expose several shortcomings, including a single point of failure, wasteful energy consumption due to unnecessary data transfer as well as deficiency of scalability. As an opposite direction, this paper proposes an energy-efficient distributed context-aware surveillance in which sensor nodes in the wireless sensor network collaborate with neighbors in a distributed manner to analyze and aware surrounding context. We design and implement multi-modal sensor stations for use as sensor nodes in our wireless sensor network implementing our distributed context awareness. This paper presents an initial experimental performance result of our proposed system. Results show that multi-modal sensor performance of our sensor station, a key enabling factor for distributed context awareness, is comparable to each independent sensor setting. They also show that its initial performance of context-awareness is satisfactory for a set of introductory surveillance scenarios in the current interim stage of our ongoing research.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.333-336
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• 2005

The advance of wireless telecommunication and observation technologies leads developing sensor and sensor network for serving the context information continuously. Besides, in order to understand and cope with the context awareness based on the sensor network, it is becoming important issue to deal with plentiful data transmitted from various sensors. Therefore, we propose a context awareness system to deal with the plentiful sensor data in a vast area such as the prevention of a forest fire, the warning system for detecting environmental pollution, and the analysis of the traffic information, etc. The proposed system consists of the context acquisition to collect and store various sensor data, the knowledge base to keep context information and context log, the rule manager to process context information depending on user defined rules, and the situation information manager to analysis and recognize the context, etc. The proposed system is implemented for managing renewable energy data management transmitted from a large scale area.

• 한국IT서비스학회지
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• 제9권1호
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• pp.113-125
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• 2010

Recently, a smart space with Ubiquitous Environment is expanding rapidly due to the development of Ubiquitous Sensor Network. Therefore, more appropriate and intelligent services of the context awareness system is being required. The previous context awareness system can provide a service to the user through the inference only on the current situation. But, it does not handle certain situation properly when the system provides abnormal result. Also it does not have any proper method of generating reliable semantic data from sensed raw data. In this paper, we are trying to solve the problems as the following approaches. First, the system recognizes abnormal result and corrects it by learning feedback from the user. Second, we suggest a method of converting sensed data into more reliable semantic data. Third, we build the system based on an Ontological context model that is capable of interoperability and reusability. Therefore, the context awareness system of our study can enhance the previous system that can generate more reliable context data, can provide more effective inference method, and can provide more intelligent system structure.

• 한국콘텐츠학회논문지
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• 제11권4호
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• pp.101-111
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• 2011

최근 유무선 통신 기술의 발전 및 모바일 정보기기의 보편화에 힘입어, 시간과 장소에 제약 없이 서비스를 제공할 수 있는 유비쿼터스 컴퓨팅(Ubiquitous computing)기술이 각광받고 있다. 이에 따라, 무선 센서네트워크(Wireless Sensor Network: WSN) 기술과 상황인식(Context-awareness) 기술에 대한 관심이 크게 고조 되고 있으며, WSN과 상황인식을 접목하여 다양한 분야에서 활용할 수 있는 응용시스템의 개발이 활발하다. 하지만 기존 상황인식 기술을 WSN에 적용할 경우, 첫째, 불필요한 데이터를 전송하여 에너지효율성을 저하시키는 단점이 존재한다. 둘째, 새로운 응용 서비스를 구현할 경우, 특정 응용에 의존적이 기 때문에, 새로운 상황인식 모듈을 구현해야 하는 문제점이 있다. 이를 위해 본 연구에서는 무선 센서 네트워크에서 상황인식에 근거한 새로운 실시간 감시시스템을 제안한다. 제안하는 시스템은 센서노드에서 상황인식을 수행하여 불필요한 데이터 전송을 줄여 에너지 효율성을 높이고, 모듈화를 통해 새로운 상황인식 기능을 지원할 수 있는 확장성을 지닌다.

• Spatial Information Research
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• 제18권1호
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• pp.69-76
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• 2010

센서로부터 획득되는 데이터 스트림들 중에 특히 이동 객체에 대한 공간 정보를 담은 데이터 스트림은 상황 인지의 여러 응용 분야에 매우 유용하다. 하지만, 실시간으로 공간 스트림을 처리하는 것과 공간 상황 인지를 위한 복잡한 연산 처리 사이에는 중요한 기능적인 격차가 존재하는데, 이는 공간 스트림 처리와 상황 인지를 통합하는데 매우 큰 어려움을 준다. 본 논문에서는, 공간 스트림 처리와 공간 상황 인지 사이에 존재하는 기능적인 격차를 해결하기 위한 공간 데이터 스트림 처리 시스템인 SCONSTREAM(Spatial CONtext STREAm Management)를 제안한다. 본 논문에서 제안하는 시스템은 불필요한 공간 데이터 스트림을 전처리하고 상황 인지에 용이한 형태로 가공한다. 실험을 통해, 본 시스템이 공간 스트림 처리와 공간 상황 인지 사이에 존재하는 기능적인 격차를 해소할 수 있음을 보인다.

• 한국ITS학회 논문지
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• 제8권6호
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• pp.187-195
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• 2009

최근 유비쿼터스 컴퓨팅의 발전과 함께 유비쿼터스 환경에 적용할 수 있는 상황인식 모델에 대한 연구 개발이 요구되고 있다. 본 논문은 자동차 공간을 위한 매트릭스 기반 상황인식 모델을 설계하고 구현하였으며, 상황인식 모델링을 위해 5W1H와 CAM 수식을 이용한 매트릭스 구성 방법을 제안하였다. 개인 식별과 위치 확인을 위한 Zigbee 모듈과 GPS의 현재의 공간과 시간 정보를 위한 네비게이터를 이용하여 제안된 모델을 이용한 시스템을 구현하였다. 시험 결과 제안된 모델이 유용 가능함을 보였다.