• Journal of Korea Society of Digital Industry and Information Management
• /
• v.5 no.3
• /
• pp.77-86
• /
• 2009

This paper proposes an ontology-based context-aware home healthcare platform employing environmental factors obtained from home. The proposed platform manages the health of home residents, and notifies relatives or a medical team of critical condition through context-awareness based on home ontology by using information sensed from various sensors. The ontology definition of context-awareness from the sensed information provides technically more precise decision for us. Therefore the platform can be aware of the health state of residents and environment by reasoning exactly from data gathered from various sensors and heterogeneous devices. The platform also can individually provide the customized service for users by setting priority for critical status that can be occurred in the health state of residents.

• Spatial Information Research
• /
• v.18 no.1
• /
• pp.101-107
• /
• 2010

Context-aware technologies have become the one of core technologies for intelligent urban geospatial services in ubiquitous computing environment. To provide context-aware intelligent services, various technologies including for context-aware modelling, context-aware sensing and context-aware service middleware are required. Among them, especially, ontologies are very useful for modelling, interpreting and reasoning context informations across various domains. In this research, the recent trends of context-awareness technologies and ontologies are reviewed to build a conceptual architecture for intelligent urban geospatial services. Considering it, the strategies of intelligent urban geospatial services are proposed.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.5 s.43
• /
• pp.105-114
• /
• 2006

Context-Awareness is a important technology to support optimized services automatically by recognizing various context informations in ubiquitous environments. Previous middlewares which supports ubiquitous environments used a centralized storage and DBMS to store and manage context informations and service contents. Centralized management of context informations and service contents sometimes hinders the autonomy of moving node and interoperability between difference middlewares. In this paper, we design the systems which stores context informations in moving node by distributed form and shares service contents between middlewares in distributed ubiquitous environments. And it provides Context-Aware scripts to supports the definition of context informations reasoning and execution of services. It verifies the usefulness of the designed systems by applying the scenario of music playing service based on context awareness

• The Korean Journal of Financial Studies
• /
• v.3 no.2
• /
• pp.267-279
• /
• 1996

The prediction of future demand is a vital task in managing business operations. To this end, traditional approaches often focused on statistical techniques such as exponential smoothing and moving average. The need for better accuracy has led to nonlinear techniques such as neural networks and case based reasoning. In addition, experimental design techniques such as orthogonal arrays may be used to assist in the formulation of an effective methodology. This paper investigates a multistrategy approach involving neural nets, case based reasoning, and orthogonal arrays. Neural nets and case based reasoning are employed both separately and in combination, while orthoarrays are used to determine the best architecture for each approach. The comparative evaluation is performed in the context of an application relating to the prediction of Treasury notes.

• Journal of Communications and Networks
• /
• v.13 no.6
• /
• pp.567-582
• /
• 2011

The growing popularity of the Internet has caused the size and complexity of communications and computing systems to greatly increase in recent years. To alleviate this increased management complexity, novel autonomic management architectures have emerged, in which many automated components manage the network's resources in a distributed fashion. However, in order to achieve effective collaboration between these management components, they need to be able to efficiently exchange information in a timely fashion. In this article, we propose a context dissemination framework that addresses this problem. To achieve scalability, the management components are structured in a hierarchy. The framework facilitates the aggregation and translation of information as it is propagated through the hierarchy. Additionally, by way of semantics, context is filtered based on meaning and is disseminated intelligently according to dynamically changing context requirements. This significantly reduces the exchange of superfluous context and thus further increases scalability. The large size of modern federated cloud computing infrastructures, makes the presented context dissemination framework ideally suited to improve their management efficiency and scalability. The specific context requirements for the management of a cloud data center are identified, and our context dissemination approach is applied to it. Additionally, an extensive evaluation of the framework in a large-scale cloud data center scenario was performed in order to characterize the benefits of our approach, in terms of scalability and reasoning time.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.12 no.1
• /
• pp.265-273
• /
• 2012

It is essential to have Context-aware technology for personalization recommendation services and the appropriate representation and definition of Context information for context-aware. Ontology is possible to represent knowledge freely and knowledge can be extended by inferring. In addition, design of the ontology model is needed according to the purposes of utilization. This paper used context-aware technologies to implement a user personalization recommendation service. It also proposed the context through OWL modeling for user personalization recommendation service and used inference rules and inference engine for context reasoning.

• Journal of the Korean Institute of Intelligent Systems
• /
• v.16 no.6
• /
• pp.659-664
• /
• 2006

The Context-Aware system is the core technology in the Ubiquitous Computing Environment. Recently, the practical use of a sensor is magnified and the application fields of it are gradually extended in order to collect necessary context information. Context-Aware service integrates the context information which is collected by sensors, and then provides, a suitable service to a user through the process of analysis and reasoning. This service is studied in a variety of fields such as marketing, medical treatment, education and so on. In this paper, we analyze the method of recognizing surrounding context and the result of the awareness by using differential and structural property of multiple valued logic function; propose the model that provides appropriate service depending on the change of surrounding contort; confirm the applicability of the Context-aware system by showing the example of application.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.4 s.42
• /
• pp.165-174
• /
• 2006

As context aware service supports a process of context acquisition and reasoning, there are many studies to facilitate the implementation of context aware service. However, these studies have not supported efficiently a user or service mobility that should be supported necessarily in ubiquitous computing environment. Therefore, this study proposes a dynamic context aware service model which supports a dynamic management of context information, service retrieval and composition for interactions between services, and service mobility. Then we design a middleware based on this model and implement the middleware. As the middleware is implemented on the OSGi framework. it can have an interoperability between the devices such as computers, PDA, home appliances, and sensors, because of using the standard interface technologies like UPnP. Jini and so on.

• Journal of Educational Research in Mathematics
• /
• v.11 no.2
• /
• pp.239-256
• /
• 2001

The notion of metaphor has been increasingly popular in research of mathematics education. In particular, metaphor becomes a useful unit for analysis to provide a profound insight into mathematical reasoning and problem solving. In this context, this paper takes metaphor as an analytic unit to examine the relationship between objectivity and subjectivity in mathematical reasoning. Specifically, the discourse analysis focuses on the code switching between literal language and metaphor in mathematical discourse. It is shown that the linguistic code switching is parallel with the switching between two different kinds of mathematical knowledge, that is, factual knowledge and mathematical imagination, which constitute objectivity and subjectivity in mathematical reasoning. Furthermore, the pattern of the linguistic code switching reveals the dialectical relationship between the two poles of mathematical reasoning. Based on the understanding of the dialectical relationship, this paper provides some educational implications. First, the code-switching highlights diverse aspects of mathematics learning. Learning mathematics is concerned with developing not only technicality but also mathematical creativity. Second, the dialectical relationship between objectivity and subjectivity suggests that teaching and teaming mathematics is socioculturally constructed. Indeed, it is shown that not all metaphors are mathematically appropriated. They should be consistent with the cultural model of a mathematical concept under discussion. In general, this sociocultural perspective on mathematical metaphor highlights the sociocultural organization of teaching and loaming mathematics and provides a theoretical viewpoint to understand epistemological diversities in mathematics classroom.

• Journal of Digital Convergence
• /
• v.10 no.2
• /
• pp.287-292
• /
• 2012

In this paper, user personalized services through the emotion perception required to support location-based sensing data preprocessing techniques and emotion data preprocessing techniques is studied for user's emotion data building and preprocessing in V-A emotion model. For this purpose the granular context tree and string matching based emotion pattern matching techniques are used. In addition, context-aware and personalized recommendation services technique using probabilistic reasoning is studied for personalized services based on context awareness.