• The KIPS Transactions:PartB
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• v.17B no.6
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• pp.405-412
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• 2010

Previous background generation techniques showed bad performance in complex environments since they used only temporal contexts. To overcome this problem, in this paper, we propose a new background generation method which incorporates spatial as well as temporal contexts of the image. This enabled us to obtain 'clean' background image with no moving objects. In our proposed method, first we divided the sampled frame into m*n blocks in the video sequence and classified each block as either static or non-static. For blocks which are classified as non-static, we used MRF framework to model them in temporal and spatial contexts. MRF framework provides a convenient and consistent way of modeling context-dependent entities such as image pixels and correlated features. Experimental results show that our proposed method is more efficient than the traditional one.

• Journal of Digital Contents Society
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• v.12 no.4
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• pp.437-447
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• 2011

Ubiquitous Computing is required to define models for broad context information occurrence by surrounding environment and to study how to model a mechanism for selectively collecting useful pieces of context information and providing relevant intelligent services. Further, studies are also required as to process of context information, and its maintenance and reasoning. However, current context-aware research area still lacks modeling technique that reflects the characteristics of ontology effectively for providing relevant intelligent services. It has also limitation about context reasoning and interoperability among context information. Therefore, this paper proposes ontology-based context-aware modeling technique and framework enabling efficient specification of context information for providing intelligent context-aware services that support context management and reasoning.

• Korean Journal of Child Studies
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• v.15 no.1
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• pp.145-157
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• 1994

This research focused on the examination of a "Goodness of Fit" model with reference to the interaction effects of temperament and context. Two hundred forty 5th graders from urban and rural areas were administered the EAS (Emotionality, Activity, Sociability) and the Perceived Competence scales. The degree of satisfaction of mothers with their children's temperament was assessed for the context measure. Results of hierarchical multiple regression analyses showed that the interaction of children's emotion and mothers' satisfaction with children's emotion explained perceived social competence and general self-worth. This result supported the goodness of fit model. However, interaction effects were not found in children's perception of cognitive and physical competence. Also, children's activity and sociability showed strong main effects on perceived competence. It implies that activity and sociability should be applied to the personological model. The implication of the findings for following studies of goodness of fit model were discussed.

• The Journal of the Korea Contents Association
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• v.11 no.1
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• pp.16-25
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• 2011

Some context is characterized by a single event in computing environment, but many other contexts are determined by a lot of things which occur with a space and a time. The Realtime Embedded System context-awareness service that interacts with the physical space can have property such as time. The exceptional behaviors of the system that interact with physical space can result in critical damage and cause danger to the operation of an embedded system. we propose an approach which should include spatio-temporal property and exceptional management in the context model, and verify its effectiveness using an expanded Petri-Net. The context-awareness service modeling of an embedded system is discussed the properties of model such as basic Petri-Net, patterned Petri-Net, or Spatio-temporal Petri-Net for the exceptional behaviors of the system. The proposed methodology demonstrated using an example that is emergency medical service. The use of expanded Petri-Net will contribute not only to develop the application but also to model the spatio-temporal context awareness for the exceptional handling.

• Journal of Information Technology Services
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• v.13 no.1
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• pp.197-207
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• 2014

With the recent advance in smartphones, users are allowed to use mobile applications anytime anywhere, and change their way to interact with smart environment and people. As a result, the need for developing context-aware applications on smartphones has a great attention from users and developers. This paper proposes a context-aware framework for supporting UI/UX of smartphones. The proposed framework collects a wide range of sensory data from smartphones and allows developers to analyze and model context models for their desired apps. In addition, it also supports real-time inference within the apps to make them to adapt to context. In order to show effectiveness of the proposed framework, we introduce two smartphone apps: context-aware home screen and automatic detection of smartphone problem use. Therefore, we expect that the proposed framework will help developers easily implement their apps with respect to context-awareness.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2006.06a
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• pp.382-389
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• 2006

Developing context awareness service In these day, It demands high security in context awareness service. So GEO-RBAC that provide user assignment of spatial role, assignment of permission, role schema, role instance and spatial role hierarchy to context awareness service is access control model to perfect in context awareness service. But GEO-RBAC is not considering temporal constraints that have to need context awareness environment. Consequently this paper improves the flexibleness of GEO-RBAC to consider time and period constraints notion and the time of GTRBAC that presents effective access control model. also we propose GEO-RBAC to consider temporal constraints for effective access control despite a various case.

• Korean Institute of Interior Design Journal
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• v.14 no.6 s.53
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• pp.57-65
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• 2005

This research is about the methods in making computers understand the situation in regards to interaction between House and Human Behavior. In this paper, house is the ubiquitous house, as a future house, adopting ubiquitous computing presenting the interrelation of human and house - interior space, architecture, nature. And the Context Aware Model of ubiquitous house is proposed to embody the ubiquitous house. The research objective is to systematize the context in the ubiquitous house and suggest a theoretical basis to embody the ubiquitous house interacting between the House ud Human Behavior Especially, this paper focuses on the Context Aware Model based on FengShui-Theory(sp. YangTaek-Theory). The ubiquitous house is not what operates passively by human but a information-oriented house that can predict the situation and the living patterns of human. For a information-oriented house and informal living context at home, this paper uses FengShui-Theory whose central concern is the interrelation of human and nature. Through these concepts, this research will suggest how to systematize, control and manage the context at home. In the end, it is expected to offer a theoretical basis to embody the intelligent house and apply an environment design communicating between the computers and human.

• Journal of Electrical Engineering and Technology
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• v.7 no.1
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• pp.115-123
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• 2012

A video analysis system used to detect events in video streams generally has several processes, including object detection, object trajectories analysis, and recognition of the trajectories by comparison with an a priori trained model. However, these processes do not work well in a complex environment that has many occlusions, mirror effects, and/or shadow effects. We propose a new approach to a context-aware video surveillance system to detect predefined contexts in video streams. The proposed system consists of two modules: a feature extractor and a context recognizer. The feature extractor calculates the moving energy that represents the amount of moving objects in a video stream and the stationary energy that represents the amount of still objects in a video stream. We represent situations and events as motion changes and stationary energy in video streams. The context recognizer determines whether predefined contexts are included in video streams using the extracted moving and stationary energies from a feature extractor. To train each context model and recognize predefined contexts in video streams, we propose and use a new ensemble classifier based on the AdaBoost algorithm, DAdaBoost, which is one of the most famous ensemble classifier algorithms. Our proposed approach is expected to be a robust method in more complex environments that have a mirror effect and/or a shadow effect.

• Journal of Digital Convergence
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• v.10 no.8
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• pp.185-192
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• 2012

Globally, U-health services have been increased according to the increase in interests on health managing and the development of information communication technology (ICT) based on increases in advanced ages and chronic disease. Exiting U-health services provide required services and health information monitoring only through counsels and that represent limitations in preventing and managing cardiovascular disease patients like chronic patients. In this paper, we propose of U-health platform based health management service model using context information. In our service model can provide health monitoring, diet, and exercise service using context information of clinical information and wether in U-health platform environment. Service to offer is the specialized service using external content provider of DB. in addition to, doctor can to provide advice information to patient using monitoring service. The proposed service model provides effective services using context information in U-health platform environments to customers and that will improve the health of chronic patients.

• The KIPS Transactions:PartC
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• v.15C no.6
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• pp.493-506
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• 2008

In this paper we suggest dynamic access control model based on context satisfied with requirement of u-healthcare environment through researching the role based access control model. For the dynamic security domain management, we used a distributed object group framework and context information for dynamic access control used the constructed database. We defined decision rule by knowledge reduction in decision making table, and applied this rule in our model as a rough set theory. We showed the executed results of context based dynamic security service through u-healthcare application which is based on distributed object group framework. As a result, our dynamic access control model provides an appropriate security service according to security domain, more flexible access control in u-healthcare environment.