• Journal of Internet Computing and Services
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• v.8 no.5
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• pp.99-108
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• 2007

Context-Aware system using ontology is able to infer a context from help by reasoning engine. It can solve the ambiguity of intention reasoning of context-aware system as it is being made a reasoning rule followed reasoning grammar and being helped by reasoning engine, Also, it has a merit that is easy to apply to new environment by excluding reasoning algorithm from the program. In this paper, we are present context-aware system using ontology, We have tested and implemented it at home basis environment to verify of its effectiveness.

• Proceedings of the Korea Contents Association Conference
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• 2009.05a
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• pp.12-16
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• 2009

Exponentially increasing UCC, experiences which some people get at the specific time and in the specific location are shared on the Web more easily. Also, UCC have been more reliable and more efficient resources, because of many people's natural valuation on each UCC. UCC have potential possibility to be primary factor in all ubiquitous computing environment. However, like ubiquitous computing techniques themselves the current availability and utilization of online UCC is far from realizing their full potential. In this paper, we propose a technique that integrates existing methods from information retrieval and tagging technologies to correspond with user's underlying need for some information in ubiquitous computing environment.

• Journal of Information Technology Services
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• v.11 no.sup
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• pp.123-138
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• 2012

Healthcare and wellness industries have become more promising as the interests on healthy living increase. Not only the medical care oriented services for the patients done by medical centers but also the psychological and emotional healthgiving services for the people who are normal have been being stressed. The psychological and emotional healthgiving services should be executed in an agile and timely manner to maximize its effects. This paper aims to propose an emotion healing service spaces which are able to provide the normal people with psychological care services. To achieve the goals, we invented the tripot approach : the ubiquitous computing technology for context-aware and intelligent estimation of psychological index, LED technology to implement emotional atmosphere and wellness healthcare technology. The proposed architecture has been implemented in an actual site.

• Journal of Korea Society of Industrial Information Systems
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• v.12 no.4
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• pp.55-64
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• 2007

Aiming at solving the problems associated with existing wireless paging systems, this paper proposed a 4W1H+L+PI concept to context-aware information structure, based on which, a new wireless paging system named 119 system is developed under ubiquitous environment. Bemuse of the adoption of RFID tags in the wireless paging system, hazard and malfunction rates are reduced, thus accuracy is guaranteed. Besides, response time is shortened comparing with existing systems. In the future, if emergency aid information system can be implemented under the ubiquitous computing environment combined with sensor network, then aid service of good quality will be provided.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.1
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• pp.34-39
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• 2009

As a subjective recognition effect, human's emotion has impulsive characteristic and it expresses intentions and needs unconsciously. These are pregnant with information of the context about the ubiquitous computing environment or intelligent robot systems users. Such indicators which can aware the user's emotion are facial image, voice signal, biological signal spectrum and so on. In this paper, we generate the each result of facial and voice emotion recognition by using facial image and voice for the increasing convenience and efficiency of the emotion recognition. Also, we extract the feature which is the best fit information based on image and sound to upgrade emotion recognition rate and implement Multi-Modal Emotion recognition system based on feature fusion. Eventually, we propose the possibility of the ubiquitous computing service reasoning method based on Bayesian Network and ubiquitous context scenario in the ubiquitous computing environment by using result of emotion recognition.

• The Journal of the Korea Contents Association
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• v.7 no.7
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• pp.153-160
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• 2007

Be new, and various service is created through Ubiquitous Computing and Ubiquitous networks. Specially, recognize a situation of the object like a person and things, and Ubiquitous Location Based Services(u-LBS) to provide service to be useful to early bases is coming wherever to the front by important service when. This papers developed eCRM Mobile Marketing System. This Mobile Marketing System for the eCRM which they developed used location based in order companies currently used eCRM, and to more efficiently do customer Marketing.

• The KIPS Transactions:PartC
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• v.16C no.1
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• pp.109-116
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• 2009

Recently, there are many researches to realize context-awareness service that recognizes surrounding environments as context and provide the citizens with pervasive convenience based on ubiquitous computing technology. In the u-City, various sensors collect information as context, and citizens will receive various context-awareness service, making use of their wireless and mobile devices and the infrastructures of the u-City. We designed ontology that is useful to structure information of sensor or device that is linked to networks and use OWL (Web Ontology Language) that can express information of mutual relation and partial situation. And we propose a context-aware reasoning system for personalized u-City services based on collected context information and user's intention.

• Journal of KIISE:Computing Practices and Letters
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• v.13 no.1
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• pp.24-34
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• 2007

Since Context Driven Component model is based on the idea that a context-aware application consists of the components that are context sensitive and the components that do not depend on the context, it divides the context sensitive part into components according to which context information they are related to. The model supports the scalability of context information by building an application through composing Context Driven Components. Furthermore, it solves the embeddedness of context information inside the application logic. To show the contributions of the model, this paper applies it to Call-forwarding application, and analyses how the model supports the scalability and the embeddedness.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.139-144
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• 2007

In seeking to improve the workload efficiency and inference capability of context-aware systems, we propose a new framework for an advanced teaming mechanism that uses improved bath propagation (BP) algorithm. Even though a learning mechanism is one of the most important parts in a context-aware system, the existing algorithms focused on facilitating systems by elaborating the learning mechanism with user's context information are rare. BP is the most adaptable algorithm for learning mechanism of context-aware systems. By using the improved BP algorithm, the framework we proposed drastically improves the inference capability so that the overall performance is far better than other systems. Also, using the special system cache, the framework manages the workload efficiently. Experiments show that there is an obvious improvement in overall performanre of the context-awareness systems using the proposed framework.

• Journal of Korea Society of Industrial Information Systems
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• v.14 no.2
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• pp.1-7
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• 2009

This paper proposes a context gathering system that obtains user's environment information from sensor and generates user's context profile. To design the system, we classify context and design context model based on traditional context-aware computing. The proposed system supports contexts adaptation service by gathering user's environment characteristics and biological characteristics and generating user profile.