http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
- 中文 을 입력하시려면 zhongwen을 입력하시고 space를누르시면됩니다.
- 北京 을 입력하시려면 beijing을 입력하시고 space를 누르시면 됩니다.
RISS 인기검색어
- 검색키워드
- 저자 : Yonnim Lee(이연님) (검색결과 4 건)
- 무료
- 기관 내 무료
- 유료
-
특정 유비쿼터스 지능공간 구축을 위한 기술조합에 대한 최적 선정 방법론
이연님(Yonnim Lee),권오병(Ohbyung Kwon) 한국지능정보시스템학회 2008 지능정보연구 Vol.14 No.3
Ubiquitous Smart Space(USS) like u-City has been expected to create a high added value. However, developing USS has a high risk because it should use future technologies and development methodologies that have been never tried in the past. Hence, it has to be considered thoroughly in the very first stage of development. Moreover, USS usually uses several ubiquitous computing technologies combinationally because of the nature of USS. Despite of this, existing technology selection methodologies or technology evaluation methodologies only focus on a single technology. This leads us to develop a methodology of optimal technology combination for developing a specific USS. The purpose of this paper is to propose the methodology and to apply it to develop a real USS. We use portfolio theory and constraint satisfaction problem to determine an optimal technology combination. We also apply our methodology to the national ubiquitous computing project which carries out at present to validate it.
-
Development Trend Analysis of the Research on Recommendation System
Yonnim Lee(이연님),Ohbyung Kwon(권오병) 한국지능정보시스템학회 2008 지능정보연구 Vol.14 No.2
Recommendation systems are widely used to help deal with the problem of information overload. Over the past decades, a variety of recommendation systems have been developed as the amount of information in the world increases far more quickly than our ability to process it. This paper aims to analyze existing developed recommendation systems, provide systemic review, and present some basic issues on improvement action. Through this, we also suggest useful implications for better recommendation systems and give some ideas to recommendation system developers to improve their system. Especially, this study focuses on researches on recommendation system. In our research, we analyze the studies along with four different keys dimensions:their domain, objective, underlying model, and evaluation method of recommendation systems and portray the results as statistics or statistical graphics or table form.
-
상황인식서비스를 위한 모델 기반의 프라이버시 염려 예측
이연님(Yonnim Lee),권오병(Ohbyung Kwon) 한국지능정보시스템학회 2009 지능정보연구 Vol.15 No.2
Context-aware computing, as a core of smart space development, has been widely regarded as useful in realizing individual service provision. However, most of context-aware services so fat are in its early stage to be dispatched for actual usage in the real world, caused mainly by user’s privacy concerns. Moreover, since legacy context-aware services have focused on acquiring in an automatic manner the extra-personal context such as location, weather and objects near by, the services are very limited in terms of quality and variety if the service should identify intra-personal context such as attitudes and privacy concern, which are in fact very useful to select the relevant and timely services to a user. Hence, the purpose of this paper is to propose a novel methodology to infer the user’s privacy concern as intra-personal context in an intelligent manner. The proposed methodology includes a variety of stimuli from outside the person and then performs model-based reasoning with social theory models from model base to predict the user’s level of privacy concern semi-automatically. To show the feasibility of the proposed methodology, a survey has been performed to examine the performance of the proposed methodology.
-
Metamorphosing Intelligence for Eco-effective Service Construction
Ohbyung Kwon(권오병),Namyeon Lee(이남용),Yonnim Lee(이연님) 한국지능정보시스템학회 2010 한국지능정보시스템학회 학술대회논문집 Vol.2010 No.11월
In our everyday life, we have lots of devices which perform specific functions. However, most of the devices have not used long-term according to the change of user requirements or preferences which is a serious problem in terms of sustainability. Recently, eco-effective or Cradle to Cradle strategy has been regarded as promising in enabling sustainable product development. However, the number of attempts to solve the devices’ sustainability concerns has been very few. Therefore, this paper newly suggests the metamorphosing intelligence based on the metamorphosis process in entomology, which is a representative autonomic growing system in the ecosystem. Then self-growing user interface is proposed. The metamorphosing intelligence enables the devices used more than once by automatically redesign the interface mechanism in response to the recognition of the environmental change or the change generated by the user.
ScienceON
DBpia연관 검색어 추천
이 검색어로 많이 본 자료
활용도 높은 자료
