Hyung-Jik Lee

A wearable context aware system for ubiquitous healthcare.

Recent developments of information technologies are leading the advent of the era of ubiquitous healthcare, which means healthcare services at any time and at any places. The ubiquitous healthcare service needs a wearable system for more continual measurement of biological signals of a user, which gives information of the user from wearable sensors. In this paper, we propose a wearable context aware system for ubiquitous healthcare, and its systematic design process of a ubiquitous healthcare service. Some wearable sensor systems are introduced with Zigbee communication. We develop a context aware framework to send information from wearable sensors to healthcare service entities as a middleware to solve the interoperability problem between sensor makers and healthcare service providers. And, we propose a systematic process of design of ubiquitous healthcare services with the context aware framework. In order to show the feasibility of the proposed system, some application examples are given, which are applied to remote monitoring, and a self check service

An agent-based context-aware system on handheld computers

Context-aware system must adapt to changing contexts in dynamic environments, and it consists of a number of related subsystems, and each subsystem works together to achieve the functionalities of its parent systems. So, it is necessary to modularize the subsystems and it must be scalable and flexible infrastructure for the delivery, management and deployment of application to individuals. An agent-based approach through the OSGi service platform for context-aware systems leads to the development of more powerful abstraction mechanisms. This paper describes the overall architecture of an agent-based context-aware system, and that system can generate and provide high-level contexts to the applications and services. For the service interoperability, we use OSGi-based service platform. Using these agent modules and OSGi service platform that can act autonomously and interact in flexible ways, so we can utilize the context-awareness and modularization of complex context-aware system.

Ontology-Based Context-Aware Service Engine for U-HealthCare

To offer a semantically suitable service for user in context-aware system, ontology concept is needed. By using the ontology, it is possible to provide knowledge sharing and support for syntactic and semantic interoperability. In this paper, we propose the context-aware service engine based on ontology. As we use ontology, our system has the following useful aspects. First, our system can describe types, hierarchies, relations of contexts, so that any context instance can be accommodated into the system with no additional effort. Seconds, as we design two levels ontology, any system which uses ontology could reuse our context ontology context in pervasive environment. Three, our system could be applied to semantic Web which is called a revolution of a post Web and could provide interoperability

Preference Measurement Using User Response Electroencephalogram

This paper presents preference measurement of user using user response electroencephalogram (EEG). Today users are faced with overflowing image data and images are sorted with time, location, and event. In this paper we introduce a noble way to pick out the preferred image using user response EEG wave. The EEG wave data are gathered through experiment using consumer grade EEG device sensors. Images were classified into preferred image and unnoticed images. The accuracy of image classification using gathered EEG wave was 88.54%. Also we found significant difference of alpha waves on position F8 and T8 between EEG wave recorded during preferred images and not preferred images. Using this analysis, we are able to service preference based personalized service.

Design for management software of desktop virtualization solutions

Desktop virtualization allows IT developments to reduce management and support costs, along with capital expenses for desktop hardware. Therefore, a user uses virtualization services using management tools, but they are not compatible with each other. As a result, t he O VF i s used as t he standard for the virtual machine image in order to provide virtualization solution for companies. Therefore, in this paper, we suggest the management software can generalize a management API and a user interface used in the management tool and can be used even in the virtualization solutions of any companies.

A Context Aware Framework for u-Healthcare in a Wearable System

A wearable system can be a key system for u-Healthcare, which means healthcare services at any time and at any places. A wearable system for u-Healthcare is composed of three parts: wearable computers, wearable sensor systems, and communication modules. A middleware is required in order to send the information gathered from wearable sensors to u-Healthcare service entities. The middleware should handle the problem of interoperability between information from sensors and u-Healthcare service entities. We develop a context aware framework as the middleware between wearable sensor systems and u-Healthcare service entities. An ontology based context model is designed for interoperability between context providing modules and u-Healthcare service entities. By using the same context model and the same API’s of the context aware framework in programming both context providing modules and u-Healthcare service entities, contexts from sensors can be sent to u-Healthcare service entities without the interoperability problem. In order to show the feasibility of the proposed system, some application examples are given, which are applied to a remote monitoring, and a self check service.

Knowledge Digest Engine for Personal Bigdata Analysis

The bigdata analysis has an issue of high knowledge creation. In this paper first, we define personal big data, and using personal bigdata created by user activity we try to create high knowledge about the user. We have created personal bigdata analytic engine and knowledge digest engine for high knowledge creation and personalized service. The engine is used to collect, process and analyize personal big data. And In the process we refine, associate, and fuse data for analysis. In this paper, we show the process of analyzing personal big data, and detailed structure of analyzing engine for persoanl big data. High knowledge about the user will lead to better personalized services, and better adaptive services.

SoD: Framework for on-demand computing in home environment

With a dramatic development of consumer electronics, we have a great number of computing devices such as personal computer, smart phone, touch pad, and other types of hand-held devices. These became indispensible to our daily life and we are surrounded by computing devices in our home and work place. However, they do not work cooperatively, but functions in a heterogeneous fashion in most of the case. In our proposed system, we are aimed to provide on-demand computing environment at home, which enables cooperation and dynamic composition of heterogeneous devices through the resource virtualization.

A Framework for Personalization of Computing Environment Among System on-Demand (SoD) Zones

In this paper, we propose a framework for personalization of computing environment when a user moves from one System on-Demand (SoD) zone to another, which preserves the user’s computing environment. In our approach, an image containing an operating system, user profiles and user’s data are dealt with as components of personalization of virtual machines. We deal with how to assemble a virtual machine with personalization components efficiently. To show the feasibility of the proposed method, we apply the proposed approach to the personalization of virtual machines of a test bed of SoD service.

My Own Clips: Automatic clip generation from watched television programs by using EEG-based user response data

Users watching television live in a flood of videos provided by various television channels. Although some of beloved television programs supply best one-minute clips, the clips reflecting ratings may be irrelevant to the interest of each viewer. Under the television viewing environment, it is difficult for the users to make personal clips by using video editing tools due to the nature of the passive viewing habit and the user interface using remote controls mainly. This paper proposes an automatic clip generation system that extracts interesting parts of viewed content especially to a user by using the EEG-based response data. The system provides the clips, which can be the valuable summaries of what the user viewed with attention, without active human intervention during watching television.