• International Journal of Fuzzy Logic and Intelligent Systems
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• v.7 no.3
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• pp.209-215
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• 2007

Various kind of ubiquitous healthcare services have been developed and tried in patient care and health care fields. Due to technical restrictions and not enough application practices, the service systems have been developed somewhat in ad hoc way. This paper describes the requirements for ubiquitous healthcare service systems most of which need to have and presents a ubiquitous healthcare service system architecture with which various ubiquitous healthcare services can be developed. It also introduces an application system for ubiquitous benign prostatic hyperplasia (BPH) patient care which has been developed based on the architecture.

• Proceedings of the IEEK Conference
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• 2006.06a
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• pp.821-822
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• 2006

Ubiquitous healthcare monitoring and measuring system based on wireless sensor network was implemented and tested. The system can measure the ECG and body temperature of patients or elderly persons and transfer the data wirelessly in ad-hoc network to remote base-station connected to doctor's PDA/PC or hospital server, using wireless sensor motes. The data obtained can be analyzed by doctors and care providers to monitor a health status of patient in real time environment. To prove the capabilities of the wireless sensor network platform for ubiquitous healthcare applications, the performance of our monitoring and measuring system was tested with positive results.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.121-130
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• 2005

The evaluation of ubiquitous computing service is the important work for preparing the commercialization of the ubiquitous business services in which ubiquitous intelligence (ubitelligence) is embedded. However, the methodology for evaluating ubiquitous computing services has not been developed enough. Even the study of making a distinction what is 'ubiquitous' or not is insufficient yet. Hence, this paper aims to propose an integrated methodology to assess the ubiquitous computing services. A multi-layered approach is adopted to assess not only technical but also behavioral service levels.

• Proceedings of the Korea Multimedia Society Conference
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• 2012.05a
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• pp.331-331
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• 2012

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2006.05a
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• pp.297-301
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• 2006

최근 생명 연장과 삶의 질에 관한 많은 관심에 따라서 의료 부문에 있어서도 Ubiquitous 환경을 도입하는 노력이 시도되고 있다. 그 중 Ubiquitous Hospital은 여러 가지 병원 서비스 부분의 편의성을 제공하고자 분야로써 이것을 이용하여 시간과 장소의 제약 없이 각종 의료서비스와 건강관리를 제공 받을 수 있는 Ubiquitous Healthcare 서비스에 대한 관심이 증대되고 있다. 본 논문에서는 이 Ubiquitous Healthcare 서비스 제공 system 구현을 위한 framework을 제안한다. 이 framework에서는 사용자가 되는 의사와 환자에 적합한 인터페이스를 제공하고 환자에 대한 추적 관찰과 증상의 판단 및 환자 진료시의 지원 서비스를 제공한다. 또한 보험회사나 병원과 같은 외부시스템과 연계하여 필요한 데이터의 공유가 가능하도록 한다. 그리고 제안된 framework를 이용하여 전립선 환자를 위한 BPH 환자관리 시스템을 구현한다.

• Journal of the Korea Society of Computer and Information
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• v.16 no.6
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• pp.99-109
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• 2011

Ubiquitous computing technology makes an impact on the appearance of u-learning and presents an advanced direction of futuristic school education. In ubiquitous learning environments, various embedded computational devices will be pervasive and interoperable across the network for supporting the learning, so users may utilize these devices anytime anywhere. An important next step for ubiquitous learning is the introduction of context-aware learning service that employing knowledge and reasoning to understand the local context and share this information in support of intelligent learning services. However, the existing studies on design and application of ontology context model to support context-aware service in actual school environments are incomplete state. This paper, therefore, suggests a scheme of constructing ubiquitous learning space for existing school network by introducing USN to support context-aware ubiquitous learning services. This paper, also, designs an ontology based context model for ubiquitous school environments which describes context information through OWL. To determine the suitability of proposed ubiquitous learning space and ontology context model, we implement some of context-aware learning services in the ubiquitous learning environments.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.6 no.1
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• pp.64-71
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• 2005

In this paper we are investigating how ubiquitous revolution in knowledge society changes the education system. By the help of ubiquitous computing and networking techniques we estimates the configuration of e-teaming in the age of knowledge -based society, and we examines Education Model with e-teaming and ICT (Information and Communication Technology) at e-School. We also suggest the feasible design of the e-School and a Blended-learning scheme based on cooperative education as a way of teaching Education.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.547-565
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• 2012

The design, development and deployment of Mobile Agent (MA) systems for high-level inference and surveillance in wireless sensor networks and RFID systems have drawn increasing attention in the past decade. To answer how the state-of-the-art of MA in a wide range of ubiquitous and sensor environments is, this paper investigates the current progress of MA. It proposes a taxonomy, by which MA systems in ubiquitous computing environments are decomposed and discussed. Then, this paper provides insights into the strengths and weaknesses of existing efforts. Finally, it presents a series of solutions from the viewpoint of various roles of MA in ubiquitous environments and situations.

• Journal of Information Processing Systems
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• v.16 no.3
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• pp.572-587
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• 2020

Experience API provides a learner-centered model for learning data collection and learning process recording. In particular, it can record learning data from multiple data sources. Therefore, Experience API provides very good support for ubiquitous learning. In this paper, we put forward the architecture of ubiquitous learning system and the method of reading the learning record from the ubiquitous learning system. We analyze students' learning behavior from two aspects: horizontal and vertical, and give the analysis results. The system can provide personalized suggestions for learners according to the results of learning analysis. According to the feedback from learners, we can see that this u-learning system can greatly improve learning interest and quality of learners.

• Journal of the Korean Society for Precision Engineering
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• v.26 no.1
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• pp.11-16
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• 2009