• ETRI Journal
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• v.36 no.5
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• pp.730-740
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• 2014

The rapid increase in the number of patients with chronic diseases is an important public healthcare issue in many countries, which accelerates many studies on a healthcare system that can, whenever and wherever, extract and process patient data. A patient with a chronic disease conducts self-management in an out-of-hospital environment, particularly in an at-home environment, so it is important to provide integrated and personalized healthcare services for effective care. To help provide effective care for chronic disease patients, we propose a service flow and a new cloud-based personalized healthcare system architecture supporting both at-home and at-hospital environments. The system considers the different characteristics of at-hospital and at-home environments, and it provides various chronic disease care services. A prototype implementation and a predicted cost model are provided to show the effectiveness of the system. The proposed personalized healthcare system can support cost-effective disease care in an at-hospital environment and personalized self-management of chronic disease in an at-home environment.

• 한국IT서비스학회:학술대회논문집
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• 2007.11a
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• pp.206-209
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• 2007

The work patterns in the organizations performing research and development projects consist of both administrative business with defined processes and knowledge-oriented research and development business with undefined or semidefined processes. This paper describes an enterprise portal model and its services aligned to research and development organization's work patterns. The proposed portal model is focused on constructing personalized workplaces providing knowledge-based services for research and development business, as well as business process management based services for administrative business. The further research will provide more concrete portal model and its applicability to research and development organization's business.

• Journal of Information Technology Services
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• v.7 no.4
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• pp.231-246
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• 2008

This paper suggests an e-learning system model, a goal-driven personalized e-learning system, which increase the effectiveness of learning. An e-learning system following this model makes the learner choose the learning goal. The learner's choice would lead learning. Therefore, the system enables a personalized adaptive learning, which will raise the effectiveness of learning. Moreover, this paper proposes a SCORM standard, which modifies SCORM 2004 that has been insufficient to implement the "goal driven personalized e-learning system." We add a data model representing the goal that motivates learning, and propose a standard for statistics on learning objects usage. We propose each standard for contents model and sequencing information model which are parts of "goal driven personalized e-learning system." We also propose that manifest file should be added for the standard for contents model, and the file which represents the information of hierarchical structure and general learning paths should be added for the standard for sequencing information model. As a result, the system could sequence and search learning objects. We proposed an e-learning system and modified SCORM standards by considering the many factors of adaptive learning. We expect that the system enables us to optimally design personalized e-learning system.

• Journal of Broadcast Engineering
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• v.13 no.4
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• pp.528-543
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• 2008

Internet Protocol Television (IPTV) provides an interactive and personalized service for realizing integrated broadcasting and telecommunication services. Set-top box (SIB) connected to TV is an essential component required for IPTV and has a unique hardware identifier used in identification and authentication. It means that subscriber authentication based on box-level identification is inconsistent with IPTV's main intention of providing personalized services. The proposed solution is to provide an opportunity to use the flexible user-centric authentication mechanism through Java Card applets in IPTV application server and 3G networks. This paper suggests personalized services by moving the user's private data and authentication management beyond the STB to a truly personalized device, the ubiquitous mobile phone. In addition, this paper presents effectiveness and security analysis for verifying the proposal.

• Information and Communications Magazine
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• v.12 no.10
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• pp.76-86
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• 1995

In this paper, we propose a new network architecture for the future broadband personalized multimedia network. We first consider the service and technical requirements for supporting future advanced services such as personalized and intelligent communication services. In addition, we consider the design and implementation of the future network. Considering these requirements. we propose a new network architecture and its control scheme that can efficiently support the future personalized and intelligent services as well as broadband multimedia services. The network provides only a relatively simple core set of functions such as basic end-to-end connectivity, integrated access, and primitive network intelligence of user location. More intelligent features (e.g., personalized calling, virtual private networking and so on) can be offered through the additional network facilities or computing devices through an intelligent network.

• Journal of KIISE:Computing Practices and Letters
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• v.14 no.7
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• pp.738-742
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• 2008

The user model is an indispensable factor for providing users with personalized. services in the ubiquitous computing environment. In general user models, services which users prefer should be described in advance so that the system can recognize and interpret them automatically. Also, user's preferences as to the change of situation are not reflected in general user models due to their ignoring the situation. In this paper, we propose the self-growing user model which learns user experience and the system which automatically provides personalized community services through extracting user preferring services by situation.

• Journal of Broadcast Engineering
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• v.11 no.3 s.32
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• pp.284-301
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• 2006

In this paper, we present a design and implementation of a TV-Anytime metadata authoring tool for providing personalized data-broadcasting services. The TV-Anytime specifies metadata schema, metadata coding and delivery, and provides service models to provide personalized broadcasting content services at anytime when users want to consume using metadata including ECG (Electronic Content Guide) and content descriptive information in a PDR (Personal Digital Recorder)-centric environment. In spite of a useful services based on TV-anytime metadata, the metadata authoring still remains as a harassing and time consuming task. For easy metadata authoring, the proposed metadata authoring provides the following key functionalities: metadata visualization, media access, and semi-automatic method for editing segment related metadata.

• Journal of Korea Multimedia Society
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• v.10 no.10
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• pp.1356-1366
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• 2007

Many personalized Services that provide users with adaptive information according to users' requirements and preferences have been researched and developed. However, existing approaches are difficult to share a user's information among heterogeneous services because these approaches manage users' preferences in a single system. In this paper, we propose a user preference sharing model based on the Semantic Web as a solution to resolve the problem. Our model enables user preferences to be described and shared over service-specific ontologies which are affected by the feature of each service. Our model is analyzed and evaluated with an implementation of the middleware that supports our model. Our approach has the advantage of providing more efficient personalized services than existing approaches because it can describe users' preferences centering around each service and share these information among heterogeneous personalized services.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.9
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• pp.649-660
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• 2009

To deliver services suitable to user's situation in the ubiquitous environment, the researches on realizing new services by combining existing ones have been continuously increased. But, it is difficult to provide the personalized services to each user located in the ubiquitous service space where multiple users coexist. In this paper, we propose a service composition model based on user-centered service scenarios and a system for providing personalized services through finding services suitable to user's situation and combining them. The proposed system supports a simple service discovery protocol for finding services from heterogeneous smart objects with limited computing power in the ubiquitous environment. The system aggregates and stores various service scenarios and data derived from users and executes the appropriate services for users. We design and implement a prototype system for the mobile personal device.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.276-279
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• 2004

The location-based service is one of the most powerful services in the mobile area. The location-based service provides information service for moving user's location information and information service using wire / wireless communication. In this paper, we propose a model for personalized recommendation system which includes location information and personalized recommendation system for location-based service. For this service system, we consider mobile clients that have a limited resource and low bandwidth. Because it is difficult to input the words at mobile device, we must deliberate it when we design the interface of system. We design and implement the personalized recommendation system for location-based services(advertisement, discount news, and event information) that support user's needs and location information. As a result, it can be used to design the other location-based service systems related to user's location information in mobile environment. In this case, we need to establish formal definition of moving objects and their temporal pattern.