• 한국경영정보학회:학술대회논문집
• /
• 2007.06a
• /
• pp.891-896
• /
• 2007

유비쿼터스 컴퓨팅 서비스의 주요 특징으로 언급되는 자연성, 사용 간편성, 비가시성, 선응성 등은 모두 사용자 인터페이스와 관련이 높다. 특히 이동중의 사용자들에게 그들이 처한 상황에 맞게 시의적절한 인터페이스를 제공하는 것은 서비스의 질 향상에 밀접한 관계를 가질 것으로 예상된다. 그러나 인터페이스의 시의적절성을 만족시키기 위한 필요한 기준들과 구현 방법에 대해서는 아직 구체적 연구가 미흡하다. 따라서 본 논문에서는 시의적절성을 서비스 제공의 양상의 자연스러움과 존대등분의 자동적 적응이라는 두 가지 관점으로 보고 상황인식에 기반한 유비쿼터스 컴퓨팅 서비스의 시의적절성을 유지하도록 하는 프레임워크 및 방법론을 제안하는 것을 목적으로 한다.

• The Journal of the Korea Contents Association
• /
• v.7 no.12
• /
• pp.283-291
• /
• 2007

In the age of ubiquitous computing, computer systems will be seamlessly integrated into our everyday life, providing services and information to us in an anywhere, anytime fashion. This ubiquitous computing can be used for developing a ubiquitous learning (U-learning). In this paper, we present a framework for U-school in which ubiquitous computing technologies are applied to advance the existing ERSS (Korea's Educational Resources Sharing System). Our framework applies mobile, sensor, and context-aware technologies to the existing ERSS. This framework presents a user-centric learning environment, using user-centric scenario. The U-school with context-aware services therefore can lead to the just-in-time learning or learner-led learning based on dynamic contexts acquired from learners, teachers and computing entities.

• Journal of Korea Multimedia Society
• /
• v.13 no.1
• /
• pp.133-142
• /
• 2010

As the ubiquitous technology has penetrated into almost every aspect of modern life, the research of the security technology to solve the weakness of security in the ubiquitous environment is received much attention. Because, however, today's security systems are usually based on the fixed rules, many security systems can not handle diverse situations in the ubiquitous environment appropriately. Although many existing researches on context aware security service are based on ACL (Access Control List) or RBAC (Role Based Access Control), they have an overhead in the management of security policy and can not manipulate unexpected situations. Therefore, in this paper, we propose a context-aware security service providing multiple authentications and authorization from a security level which is decided dynamically in a context-aware environment using FCM (Fuzzy C-Means) clustering algorithm and Fuzzy Decision Tree. We show proposed model can solve typical conflict problems of RBAC system due to the fixed rules and improve overhead problem in the security policy management. We expect to apply the proposed model to the various applications using contextual information of the user such as healthcare system, rescue systems, and so on.

• Proceedings of the Korean Information Science Society Conference
• /
• 2006.06c
• /
• pp.19-21
• /
• 2006

본 논문에서는 상황 정보를 이용하여 사용자에게 필요한 정보를 효율적으로 제공하는 개방형 아키텍처 하에서의 상황 인식 추천 서비스를 설계한다. 상황 인식 서비스에서는 다양한 기기에 대해 서비스를 제공해야 하기 때문에 개방형 아키텍처가 필요하다. 본 논문에서는 이질적인 장치에서 공통적인 서비스를 제공하기 위해 OSGi 프레임워크를 이용하였고, 웹서비스를 이용하여 플랫폼과 어플리케이션에 독립적인 통신 환경을 제공한다. 그리고 상황에 따라 관심도를 측정하여 효율적으로 정보를 제공한다. 이러한 설계를 통해 유비쿼터스의 이질적인 환경에서 사용자에게 필요한 적절한 정보를 적시적지에 받을 수 있도록 하였다.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.21 no.1
• /
• pp.86-99
• /
• 2011

Due to the uncertainty of intention recognition for behaviors of users, the intention is differently recognized according to the situation for the same behavior by the same user, the accuracy of user intention recognition by minimizing the uncertainty is able to be improved. This paper suggests a novel ontology-based method to recognize user intentions, and able to minimize the uncertainties that are the obstacles against the precise recognition of user intention. This approach creates ontology for user intention, makes a hierarchy and relationship among user intentions by using RuleML as well as Dynamic Bayesian Network, and improves the accuracy of user intention recognition by using the defined RuleML as well as the gathered sensor data such as temperature, humidity, vision, and auditory. To evaluate the performance of robot proactive planning mechanism, we developed a simulator, carried out some experiments to measure the accuracy of user intention recognition for all possible situations, and analyzed and detailed described the results. The result of our experiments represented relatively high level the accuracy of user intention recognition. On the other hand, the result of experiments tells us the fact that the actions including the uncertainty get in the way the precise user intention recognition.

• Journal of KIISE:Computing Practices and Letters
• /
• v.14 no.9
• /
• pp.906-910
• /
• 2008

As the mobile environment becomes widely used, there is a growth on the concern about recognizing and sharing user context. Sharing context makes the interaction between human more plentiful as well as helps to keep a good social relationship. Recently, it has been applied to some messengers or mobile applications with sharing simple contexts, but it is still required to recognize and share more complex and diverse contexts. In this paper, we propose a context-aware messenger that collects various sensory information, recognizes representative user contexts such as emotion, stress, and activity by using dynamic Bayesian networks, and visualizes them. It includes a modular model that is effective to recognize various contexts and displays them in the form of icons. We have verified the proposed method with the scenario evaluation and usability test.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.4
• /
• pp.205-211
• /
• 2008

Conventional context-aware service models permit the access of resources only by user authentication, but the ubiquitous environments where the context information around users is changing frequently require the resource access control according to the rapid changes. This paper proposes a scheme to control access permission of resource dynamically as context information of user changes. Our access control model is based on traditional CASA (Context-Aware Security Architecture), but can restrict the access of the user already has been authorized. With the real-time checking of context information, our scheme gives different access controls according to changes in environmental information, and provides more secure services than conventional context-aware models.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.31 no.7B
• /
• pp.619-631
• /
• 2006

With the advent of ubiquitous computing environments, it has become increasingly important for applications to take full advantage of context information, such as the user's location, to offer greater services to the user without any explicit request. In this paper, we propose context-aware active services on the basis of CAMUS (Context-Aware Middleware for URC Systems). CAMUS is a middleware for providing context-aware applications with development and execution methodology. Accordingly, the applications developed by CAMUS respond in a timely fashion to contexts. To evaluate, we apply proposed active services to TV application domain. Therefore, we implement and experiment the TV contents recommendation service agent, control service agent and TV task based on CAMUS. The context-aware TV task is to recommend programs and control of TV according to user preference, location and voice commands.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2004.05a
• /
• pp.849-852
• /
• 2004

이 논문에서 제시하는 감정 및 상황데이타 인지 시스템이란 감정 및 상황인식 데이터에 대한 능동적인 인지를 통하여 주변 제어 가전 및 AV가전에 대한 통제를 가능하게하는 실시간 시스템을 말한다. 감정 및 상황데이터 분석을 위하여 Context 정의 및 Context Awareness에 대한 Context 모델링 및 지능적 분석 알고리즘을 제시한다. 감정 및 상황인식을 통한 주변 가전제어에서는 분석된 감정 및 상황 데이터만을 가지고 지능적 시스템이 주변 가전을 제어하는 것이 아니라 여기에 첨가하여 사용자의 행동 패턴에 대한 분석이 필요하다. 지능적 분석 알고리즘에서는 사용자의 행동패턴에 대한 분석을 위하여 신경망의 일부 개념을 도입하였다. 인지 시스템의 검증을 위한 시뮬레이션으로 이 논문에서는 실내환경에서의 가전제어를 제시하고 이에 대한 프레임워크로 OSGi를 도입하였다. 마지막으로 감정 및 상황인지에 대한 분석데이터에 대한 서비스와 가전상태에 대한 인터페이스 제공 모델을 UIML을 이용하여 다중 디바이스 서비스를 제공하는 방법을 제시한다.

• KIPS Transactions on Software and Data Engineering
• /
• v.2 no.7
• /
• pp.443-450
• /
• 2013

The high portability and mobility of mobile devices have given rise to critical concerns with regard to mobile situation-aware services that utilize user situation information in the mobile domain. Mobile situation-aware services for mobile devices are provided by collecting and analyzing data, from which the user situation is inferred through an inference system. However, the high mobility of the mobile domain has made it difficult to infer the required results. In addition, previous studies have not identified a systematic approach to modifying and adapting. In this paper, we propose a systematic feedback process model based on software cybernetics in order to address the abovementioned problems. Further, we propose a MADA(Monitoring, Analysis, Determinating, Adaptation) framework for the feedback process model. Thus, the proposed approach supports the development of self-adaptive mobile situation-aware services that can infer appropriate results and manage the inferred results systematically.