• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.286-291
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• 2008

Intelligence of collaborative environments starts from a trial to provide optimal services to with users based on real-time information about participants and environments of the collaboration itself. Up to now, we can collect information such as temperature, light, time, each participant's gestures, faces, voices, and locations by adopting ubiquitous computing technologies. However, since social relationship is intrinsic to collaborative activities, the relationships and roles among participants should be fully considered to provide optimal services. To do so, we have to integrate collected data from various sensors and extracted data about relationships and roles among participants as unified one context. Thus, this paper designs collaborative services filtered, by using the integrated data as a context, and introduces an implemented example, context-aware based interactive display service, called as smart meeting system (SMeet system).

• Journal of Information Processing Systems
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• v.2 no.1
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• pp.28-33
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• 2006

The initial research of Task Computing in the ubiquitous computing (UbiComp) environment revealed the need for access control of services. Context-awareness of service requests in ubiquitous computing necessitates a well-designed model to enable effective and adaptive invocation. However, nowadays little work is being undertaken on service access control under the UbiComp environment, which makes the exposed service suffer from the problem of ill-use. One of the research focuses is how to handle the access to the resources over the network. Policy-Based Access Control is an access control method. It adopts a security policy to evaluate requests for resources but has a light-weight combination of the resources. Motivated by the problem above, we propose a universal model and an algorithm to enhance service access control in UbiComp. We detail the architecture of the model and present the access control implementation.

• Journal of Korea Multimedia Society
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• v.20 no.5
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• pp.791-799
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• 2017

With the development of the internet of things, sensor and device are can be applied to various scenario. Overall improving of the dependability index of internet of things is the ultimate goal. And reliability aims to increase the success rate of internet of things service delivery. Many studies about internet of things system have been made on the system to assess a dependability for providing reliable service to user, but it has difficult to reflect the user context for evaluating the device reliability. Also, most do not consider the availability of content information. In this paper, it proposed dependable device searching system in the internet of things environment. This system evaluates device dependability based on device status and measured data. Through the proposed system, it can be provided reliable context information for user-centric service.

• Journal of Internet Computing and Services
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• v.13 no.2
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• pp.51-57
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• 2012

The warming up of the recent competition in the smart phone industry followed by rapid increase of open platforms and app stores have led the mobile terminals to adopt the general purpose operating system. The mobile device utilizing this OS is vulnerable to mobile malignant code which is highly transferable. As a result, the scale of mobile attack and harm increase. However, compared to the malicious code and virus which keep increasing, the elements for security to prevent are insufficient. Therefore, this paper describe about the Context Aware Service that eliminates the potentially risky elements on the smart phone service, which could threaten the usability of the service including invasion of personal information. The proposed system prevents from disclosure of personal information by giving the procedure of information, and realizes the service that is able to change the sequence of identifying the users' information to prepare for emergency.

• Journal of the Korean Society of Safety
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• v.23 no.6
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• pp.51-56
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• 2008

As RFID/USN technology is used in the latest industry trend, the information analysis paradigm shifts to intelligence service environment. The intelligent service includes autonomic operation, which select activity by defining itself to the status of industry facilities. Furthermore, information analysis based on IT used to frequently data mining for detecting the meaning information and deriving new pattern. This paper suggest self-classifying of context-aware by applying data mining in gas facilities for serving the intelligent gas safety management. We modify data algorithm for fitting the domain of gas safety, construct context-aware model by using the proposed algorithm, and demonstrate our method. As the accuracy of our model is improved over 90%, the our approach can apply to intelligent gas safety management based on RFID/USN environments.

• Journal of Internet Computing and Services
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• v.10 no.6
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• pp.145-157
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• 2009

In recent years, there have been several researches applying workflow technologies for service automation on ubiquitous computing environments. However, most context-aware workflow languages have difficulties in supporting composite workflows composed of single workflows, because these languages are still in its early stage and they only provide single workflow services to their users. This paper introduces CAWL, which is a context-aware workflow language. CAWL is for describing individual service workflows to make integrated service workflows. By using CAWL, service developers are able to reuse existing workflows to develop new context-aware workflow services. Therefore, development efforts and time can be saved and workflow resusability also increased. CAWL is expected to make it easy to develop applications related to context-aware workflow services on ubiquitous computing environments.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.479-487
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• 2016

In a Web 2.0 context, users are exposed to numerous smart devices and services that allow real-time interaction between users (or consumers) and developers (or producers). For the provisioning of new user-created services based on user's context, the data management of service creation experiences becomes a non-trivial task. This article introduces a data model for service creation and then proposes a service creation management architecture which enables new service creation using the data model, the management of the service creation data, and the semantic service discovery across internal/external service repositories. The article also explains the use of the proposed architecture with two different scenarios: home and mobile environments. The proposed architecture for service creation data management offers consistent and seamless handling of the service creation data throughout its usage lifecycle.

• Journal of Intelligence and Information Systems
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• v.13 no.1
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• pp.29-47
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• 2007

Acquiring context data in a timely and correct way is now regarded as one of the crucial characteristics of the proactive service which runs on ubiquitous computing environment. Moreover, context model should be well designed to provide a solid context-aware system. Since the ubiquitous computing systems aim to provide context-aware services everywhere with any available devices, legacy services which uses context models assuming single or limited domain should be extended enough to be useful even for multi-domain muli-services. This leads us to a motivation to build a generic context model with an appropriate type of model. Hence, the purpose of this paper is to propose a generic context model by assessing a variety of model types with a sort of evaluation measures.

• Journal of Intelligence and Information Systems
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• v.11 no.3
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• pp.1-23
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system which is one of the supporting systems for a robust ubiquitous service support environment. RescorlaWagner model is adopted as an underlying need awaring theory. We have created a prototype system called NAMA(Need Aware Multi-Agent)-RFID, to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper. NAMA considers the context, user profile with preferences, and information about currently available services, to discover the user's current needs and then link the user to a set of services, which are implemented as web services. Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.11a
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• pp.359-368
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• 2005

Personalized reminder systems have to identify the user's current needs dynamically and proactively based on the user's current context. However, need identification methodologies and their feasible architectures for personalized reminder systems have been so far rare. Hence, this paper aims to propose a proactive need awaring mechanism by applying agent, semantic web technologies and RFID-based context subsystem for a personalized reminder system, which is one of the supporting systems for a robust ubiquitous service support environment. Rescorla-Wagner model is adopted as an underlying need awaring theory. We have created a prototype system. called NAMA(Need Aware Muiti-Agent)-RFID. to demonstrate the feasibility of the methodology and of the mobile settings framework that we propose in this paper Moreover, to test if the proposed system works in terms of scalability, a simulation was performed and the results are described.