• 제목/요약/키워드: Intelligent Environment

검색결과 2,210건 처리시간 0.027초

User Intention-Awareness System for Goal-oriented Context-Awareness Service

  • Lee, Jung-Eun;Yoon, Tae-Bok;Lee, Jee-Hyong
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제7권2호
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    • pp.154-158
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    • 2007
  • As the technology developed, the system is being developed as the structure that is adapted to the intelligent environment. Therefore, the existing situation information system couldn't provide satisfactory service to the user as it provides service only by the information which it received from the sensor. This paper analyzed the problems of the existing user intention awareness system and suggested user intention awareness system to provide a stable and efficient service that fits to the intention of the user compensating this. This paper has collected the behavior data based on the scenario of the sequential behavior course of the user that occurs at breakfast time in the kitchen which is the home domain environment thai is closely related to our lives. This scenario course also showed the flow that the goal intentional user intention awareness system acted that it suggested, and showed the sequential course processing the user behavior data by tables and charts.

모바일 환경을 위한 지능형 추천 에이전트에 관한 연구 (A Study on Intelligent Recommendation Agent for a Mobile Envionment)

  • 주복규;김만선
    • 한국콘텐츠학회논문지
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    • 제6권4호
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    • pp.55-62
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    • 2006
  • 유비쿼터스 시대가 시작되면서 유비쿼터스 환경을 어떻게 제시할 것인지와 어떤 서비스와 이용 방법을 사용자에게 제공할 것인지가 중요해지고 있다. 본 논문에서는 모바일 환경에서 지능형 멀티 에이전트를 통해 사용자에게 도움되는 정보를 능동적으로 제공할 수 있는 시스템을 제안한다. 프로파일 모듀르 규칙 생성 모듈, 필터링 모듈, 서비스 모듈 구조로 구성된다. 추천 에이전트를 이용하여 미리 등록한 사용자의 정보를 기반으로 지능적인 사용자의 요구 파악을 가능하게 구성하였다. 이것을 응용하여 구현하고 실험을 통해 확인하였다.

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Efficient Authentication Framework in Ubiquitous Robotic Companion

  • Chae, Cheol-Joo;Cho, Han-Jin;Lee, Jae-Kwang
    • Journal of information and communication convergence engineering
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    • 제7권1호
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    • pp.13-18
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    • 2009
  • The robotics industry, that is the major industry of the future and one of the new growth power, is actively studied around ETRI, that is the leading under state-run research institute of the advanced technique of U.S. and Japanese and knowledge economy part. And positive and negative and academic circles, the research institute, and the industrial circles communally pursue the intelligent service robot enterprise of a network-based called URC. This network-based intelligent robot does the RUPI2.0 platform and URC environment by the base. Therefore, a stability need to be enhanced in the through this near future when the research for the preexistence vulnerability analysis and security request is needed than the commercialized network-based intelligent robot in order to implement the network-based intelligent robot. Thus, in this paper, we propose the efficient authentication Framework which is suitable for the URC environment.

Intelligent Mobile Agents in Personalized u-learning

  • Cho, Sung-Jin;Chung, Hwan-Mook
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제10권1호
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    • pp.49-53
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    • 2010
  • e-learning and m-learning have some problems that data transmission frequently discontinuously, communication cost increases, the computation speed of mass data drops, battery limitation in the mobile learning environments. In this paper, we propose the PULIMS for u-learning systems. The proposed system intellectualize the education environment using intelligent mobile agent, supports the customized education service, and helps that learners feasible access to the education information through mobile phone. We can see the fact that the efficience of proposed method is outperformed that of the conventional methods. The PULIMS is new technology that can be used to learn whenever and wherever learners want in Ubiquitous education environment.

Human Indicator and Information Display using Space Human Interface in Networked Intelligent Space

  • Jin Tae-Seok;Niitsuma Mihoko;Hashimoto Hideki
    • 한국지능시스템학회논문지
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    • 제15권5호
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    • pp.632-638
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    • 2005
  • This paper describes a new data-handing, based on a Spatial Human Interface as human indicator, to the Spatial-Knowledge-Tags (SKT) in the spatial memory the Spatial Human Interface (SHI) is a new system that enables us to facilitate human activity in a working environment. The SHI stores human activity data as knowledge and activity history of human into the Spatial Memory in a working environment as three-dimensional space where one acts, and loads them with the Spatial-Knowledge-Tags(SKT) by supporting the enhancement of human activity. To realize this, the purpose of SHI is to construct new relationship among human and distributed networks computers and sensors that is based on intuitive and simultaneous interactions. In this paper, the specified functions of SKT and the realization method of SKT are explained. The utility of SKT is demonstrated in designing a robot motion control.

도시철도 지능형 카메라에 요구되는 성능 및 관련기술 연구 (Analysis of the Requirement on the Intelligent CCTV Camera in Subway Environment)

  • 장일식;박종화;김주선;김형민;박구만
    • 한국철도학회:학술대회논문집
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    • 한국철도학회 2008년도 추계학술대회 논문집
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    • pp.1151-1156
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    • 2008
  • 본 논문에서는 복잡한 환경을 감시해야 하는 도시철도 서비스 구간 내 각종 사고를 예방하고, 사고 및 재난 발생 시 신속한 상황파악 및 대처를 통하여 피해를 최소화할 수 있는 능동적인 감시체계로 변환하기 위한 지능화된 종합감시 시스템을 개발하는데 있어, 요구되는 지능형 감시 카메라의 성능 및 관련기술을 분석하였다.

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Avoiding collaborative paradox in multi-agent reinforcement learning

  • Kim, Hyunseok;Kim, Hyunseok;Lee, Donghun;Jang, Ingook
    • ETRI Journal
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    • 제43권6호
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    • pp.1004-1012
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    • 2021
  • The collaboration productively interacting between multi-agents has become an emerging issue in real-world applications. In reinforcement learning, multi-agent environments present challenges beyond tractable issues in single-agent settings. This collaborative environment has the following highly complex attributes: sparse rewards for task completion, limited communications between each other, and only partial observations. In particular, adjustments in an agent's action policy result in a nonstationary environment from the other agent's perspective, which causes high variance in the learned policies and prevents the direct use of reinforcement learning approaches. Unexpected social loafing caused by high dispersion makes it difficult for all agents to succeed in collaborative tasks. Therefore, we address a paradox caused by the social loafing to significantly reduce total returns after a certain timestep of multi-agent reinforcement learning. We further demonstrate that the collaborative paradox in multi-agent environments can be avoided by our proposed effective early stop method leveraging a metric for social loafing.

시설재배를 위한 지능정보시스템의 설계 (A Design of Intelligent Information System for Greenhouse Cultivation)

  • 오세종
    • 디지털융복합연구
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    • 제15권2호
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    • pp.183-190
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    • 2017
  • 최근 국내의 시설재배 면적과 시설규모가 증가하는 추세에 있으며 농업에서 차지하는 비중이 점차 커지고 있다. 이에 따라 복합 환경제어기의 설치 및 사용도 늘어나고 있다. 시설 및 장비의 현대화에도 불구하고 시설을 이용한 재배 기술은 아직 유럽 농업국가나 일본에 미치지 못하고 있는 실정이다. 본 연구에서는 ICT (Information & Communication Technology)기술을 활용하여 복합 환경제어기의 효과적인 운영을 지원할 수 있는 지능정보시스템의 설계를 제안하였다. 제안된 시스템은 복합 환경제어기의 데이터를 활용하여 시설 내 환경이 작물 생육에 최적 상태를 유지할 수 있도록 지원하며, 재배자에게 생육단계에 맞추어 영농정보를 능동적으로 제공한다. 또한 생육 모델을 활용하여 미래의 생육 상태를 예측하고, 영농목표 달성을 위한 환경제어 방향을 제시한다.