• 한국전자거래학회지
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• 제11권2호
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• pp.13-30
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• 2006

웹서비스는 플랫폼 독립적 인 소프트웨어 어플리케이션으로 이기종간 상호 연동성이 필요한 유비쿼터스 컴퓨팅에 가장 적합한 기술이라 할 수 있다. 유비쿼터스 웹서비스는 어떠한 단말이나 네트워크 환경에서도 다양한 응용 서비스를 연계/융합/이용할 수 있도록 하는 미래형 웹서비스 기술이다. [7] 유비쿼터스의 주요 특징으로서 상황 인식 (context-aware)을 고려하여 유비쿼터스 웹서비스 환경을 구축하기 위해서는 상황 인식에 대한 처리가 필요하다. 아울러 상황 인식은 실시간으로 변하는 개인정보를 수집하므로 사용자에 대한 프라이버시 문제가 함께 고려되어야 한다. 그러나 현재의 웹서비스 표준은 Context의 전달에 대해 구체적으로 명시하지 않고 있으며 따라서 Context 정보를 유연성 있게 부가할 수 있는 프레임워크 구조가 필요하다. 제안한 프레임워크는 Contex에 대한 확장성을 부여하고 세션마다 Contex 정보를 유연하게 전달할 수 있다. 따라서 기존 프레임워크에서 발생할 수 있는 SOAP메시지의 Context오버헤드 문제를 해결할 수 있다. 또한 사용자 Preference에 따라 Context의 공개 여부가 결정되므로 사용자의 프라이버시 문제를 해결하고 있다.

• 한국지능시스템학회논문지
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• 제17권3호
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• pp.304-309
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• 2007

유비쿼터스 컴퓨팅에서는 각종 센서로부터 사용자의 상황을 파악할 수 있는 정보를 수집하고 사용자의 현재 상황에 맞는 적절한 서비스를 제공하는 것이 중요하다. 특히 모바일 환경에서는 지역마다 다른 컨텍스트 인식 구조로 인하여 타 지역의 정보를 공유할 수 없기 때문에 사용자의 상황을 인식하기 위한 컨텍스트 자원이 부족하게 된다. 또한 모바일 장치의 처리 능력이 제한적이기 때문에 사용자의 상황을 실시간으로 분석하는데 어려움이 있다. 본 논문에서는 모바일 장치로 사용자의 상황을 능동적으로 분석하고 적응적인 서비스를 제공하기 위한 컨텍스트 인식 및 통합 모델을 제안한다 제안한 모델은 사용자의 상황을 분석하기 저한 컨텍스트 구조를 동적, 정적으로 구분하고, 지역 내사용자들의 컨텍스트 정보를 공유시켜 컨텍스트 자원을 확보하였다.

• 정보기술응용연구
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• 제3권1호
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• pp.91-108
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• 2001

Participatory Design (PD) community recognized that identification of use case scenarios describing possible uses of the future system is beneficial for users to identify their system requirements. However, brainstorming is a typical methodology for users to create use case scenarios during PD session, which heavily depend on the people skill and experiences of the analysts. The objective of this study is to develop a theoretical framework for automatic generation of requirement scenarios. Automatically generated scenarios serves as a menu of the possible user requirements from which user group can start to generate ideas about their requirements. The convergent approach taken here is novel in that the generated scenarios describe system requirements as well as the business process requirements in which the system operates. A context-sensitive grammar is used to generate the context relevant requirement scenarios.

• 센서학회지
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• 제24권1호
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• pp.62-68
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• 2015

The MPEG user description (MPEG-UD) which is a standard under exploration to ensure interoperability among customized recommendation services has been contributed since MPEG $104^{th}$ meeting at 2013. Twenty-two use cases that were divided into different applications have been proposed in the MEPG meetings. Most of use cases were referred to specific and restricted regarding to applications, it appears to miss an overall and explicit infra-structure. In this paper we describe a reference model, namely methodology to overcome aforementioned problems. Thereafter, we have applied reference model to context-based recommendation system to demonstrate the methodology and MPEG-UD schemas. In addition, we propose a development process of recommendation system in compliance with MPEG-UD.

• 한국과학교육학회지
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• 제11권1호
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• pp.117-126
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• 1991

The new movement in science education in America and Europe has been heavilly oriented into technological and soceital aspect of science since 1970. However, this spirit has not been well informed in Korea and not adapted in science education. This paper aimed to arouse Korean science educators attention to everyday situation as a science education context. In this paper, the discipline centered science education was briefly reviewed and problems related to the philosophy was pointed out. At the same time the researcher introduced STS context as a science education objective, and elaborated the three elements(physical situation, technological situation. and societal situation) of the context. In the paper, the advantages of the use of everyday context in science education were examined. THe advantages were analysed in terms of the nature of science, learning psychology, integrated science, and societal aspect of science education. The paper also suggested the criteria to select teaching materials from STS context. The suggested criteria were the degree of science concepts involvement, frequency of experience, strength of experience, and possibility of direct experience.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2004년도 추계학술대회
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• pp.119-136
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• 2004

ㆍuT ontologies can enable context awareness to represent more rich information. ㆍOntologies enable uT agents to reason about dynamic contexts. ㆍMulti agents can use ontologies to communicate between agents.

• 전기전자학회논문지
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• 제11권4호
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• pp.279-282
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• 2007

In this paper, we introduce the general way for producing context information to support context-aware applications. It can fetch raw data from the service environments, translate it to reasonable context information, and provide to multiple applications. It is designed originally for the ubiquitous computing middleware and based on the ontology processing model. Automated service applications can use this system as the form of libraries or of web services for deciding its semantic cause of action.

• 한국멀티미디어학회논문지
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• 제24권10호
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• pp.1391-1402
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• 2021

This paper focuses use context-sensitive spelling error correction using generative adversarial network. Generative adversarial network[1] are attracting attention as they solve data generation problems that have been a challenge in the field of deep learning. In this paper, sentences are generated using word embedding information and reflected in word distribution representation. We experiment with DCGAN[2] used for the stability of learning in the existing image processing and D2GAN[3] with double discriminator. In this paper, we experimented with how the composition of generative adversarial networks and the change of learning corpus influence the context-sensitive spelling error correction In the experiment, we correction the generated word embedding information and compare the performance with the actual word embedding information.

• 산업경영시스템학회지
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• 제44권4호
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• pp.23-31
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• 2021

Treatment and management of chronic low back pain (CLBP) should be tailored to the patient's individual context. However, there are limited resources available in which to find and manage the causes and mechanisms for each patient. In this study, we designed and developed a personalized context awareness system that uses machine learning techniques to understand the relationship between a patient's lower back pain and the surrounding environment. A pilot study was conducted to verify the context awareness model. The performance of the lower back pain prediction model was successful enough to be practically usable. It was possible to use the information from the model to understand how the variables influence the occurrence of lower back pain.

• 한국멀티미디어학회논문지
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• 제9권12호
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• pp.1709-1718
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• 2006

Users are able to use the information and service more free than previous wire network due to development of wireless network and device. For this reason, various studies on ubiquitous networks have been conducted. Various contexts brought in this ubiquitous environment, have recognized user's action through sensors. This results in the provision of better services. Because services exist in various places in ubiquitous networks, the application has the time of services searching. In addition, user's context is very dynamic, so a method needs to be found to recommend services to user by context. Therefore, techniques for reducing the time of service and increasing accuracy of recommendation are being studied. But it is difficult to quickly and appropriately provide large numbers of services, because only basic context information is stored. For this reason, we suggest DUPS(Dimension User Profile System), which stores location, time, and frequency information of often used services. Because previous technique used to simple information for recommending service without predicting services which is going to use on future, we can provide better service, and improve accuracy over previous techniques.