• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.70-77
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• 2007

모바일 IT와 무선인터넷의 발달에 따라 디지털 컨텐츠를 담는 뉴미디어로서의 휴대폰의 가능성은 점차 확대되고 있으며, 모바일 컨텐츠 시장도 급속도로 성장하고 있다. 무선인터넷의 발달은 유선 인터넷 컨텐츠를 무선으로 확장하게 하였으며, 장소기반 관광 정보 (Location Based Information) 서비스가 우선적으로 구축되고 있다. 그러나, 현재 모바일 기기로 서비스되고 있는 대부분의 관광정보는 관광지에 대한 간단한 설명, 교통편, 숙박, 음식점 등 매우 실용적이고 일반적이어서 편리하긴 하지만, 그다지 사용하고 싶은 매력은 없는 정보에 그치고 있다. 본 연구는 기술적으로 진화하고 있는 유비쿼터스 도시 환경에서 모바일을 활용하여 어떠한 새로운 형태의 관광 컨텐츠가 가능해질 수 있을까 하는 질문에서 출발하였다. 본 논문은 정보통신연구 진흥원의 지원을 받아 진행했던 지역의 역사, 문화 정보 전달을 위한 모바일 투어 게임 "타임트렉" 프로토타입 개발에 관한 리서치, 컨셉, 프로세스를 정리한 것이다. "타임트렉" 프로젝트에서 추구했던 방향은 문화적, 역사적으로 중요한 장소를 투어하면서 모바일 미디어를 활용하여 보다 깊은 역사, 문화 정보를 새롭고 재미있는 방법으로 전달하고자 하는 것이었다. 특히, 사용자의 보다 적극적인 참여와 흥미유발을 위해 시간여행 능력을 가진 탐정이 과거로 시간여행을 통해 사건을 해결하는 롤플레잉 스토리 기반 게임과 물리적 장소에서 답을 찾아야 하는 오프라인 퀘스트 게임의 형식을 포함하는 모바일 투어 게임형태로 구축하였다. 이렇게 함으로써 관광객들에게 보다 그 장소에 대해 알고 싶어 하는 흥미를 유도하고 투어를 완료하게 유도함으로써 만족스럽고 새로운 관광 경험을 제공하는 것을 목적으로 하였다. 새로운 타입의 모바일 관광서비스의 프로토타입 개발에 있어 중점을 두었던 부분은 역사적으로 중요한 장소를 워킹 트레일로 구성하고 그 장소가 가지는 기본적인 문화, 역사적 정보에 오락적 요소(스토리와 게임 요소)를 자연스럽게 혼합하여 흥미로운 컨텐츠를 만들는 것이었으며, 또한 모바일이 가진 위치기반 서비스 기능을 활용하여 효과적으로 컨텐츠를 적재적소에 제시하는 인터페이스 구현에 중점을 두었다. 논문에서는 먼저, 기존의 국내외 모바일 관광정보서비스의 사례 및 연구 동향을 분석하고, 이에 따라 설정한 "타임트렉" 프로젝트의 방향성과, "타임트렉" 프로젝트에서 개발했던 프로토타입에 대하여 요약, 설명하였으며, 사용자 테스트 과정을 기술하였다. 그리고 마지막으로, 시장 세분화에 따른 관광 정보 서비스의 엔터테인먼트화 전략에 대해 논의하였다. 본 연구에서 시도했던 지역의 역사, 문화 관광을 위한 LBS 모바일 기술과 스토리, 게임 등 엔터테인먼트 요소의 결합은 관광객들에게 새로운 형태의 즐거운 관광 경험을 창출할 수 있으며, 관광 산업과 모바일 컨텐츠 산업의 결합이라는 새로운 접근의 장을 개척할 수 있을 것이다.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.33-41
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• 2018

The purpose of this study is to develop more accurate and robust emotion prediction neural network (EPNN) model by combining heart rate variability (HRV) and neural network. For the sake of improving the prediction performance more reliably, the proposed EPNN model is based on various types of activation functions like hyperbolic tangent, linear, and Gaussian functions, all of which are embedded in hidden nodes to improve its performance. In order to verify the validity of the proposed EPNN model, a number of HRV metrics were calculated from 20 valid and qualified participants whose emotions were induced by using money game. To add more rigor to the experiment, the participants' valence and arousal were checked and used as output node of the EPNN. The experiment results reveal that the F-Measure for Valence and Arousal is 80% and 95%, respectively, proving that the EPNN yields very robust and well-balanced performance. The EPNN performance was compared with competing models like neural network, logistic regression, support vector machine, and random forest. The EPNN was more accurate and reliable than those of the competing models. The results of this study can be effectively applied to many types of wearable computing devices when ubiquitous digital health environment becomes feasible and permeating into our everyday lives.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.4
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• pp.87-93
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• 2009

Wireless mesh networks (WMNs) are emerging technologies that provide ubiquitous environments and wireless broadband access. The aggregate capacity of WMNs can be improved by minimizing the effect of channel interference. The IEEE 802.11b/g standard which is mainly used for the network interface technology in WMNs provides 3 multiple channels. We must consider the channel scanning delay and the channel dependency problem to effectively assign channels in like these multi-channel WMNs. This paper proposes a cluster-based channel assignment (CB-CA) algorithm for multi-channel WMNs to solve such problems. The CB-CA does not perform the channel scanning and the channel switching through assigning co-channel to the inter-cluster head (CH) links. In the CB-CA, the communication between the CH and cluster member (CM) nodes uses a channel has no effect on channels being used by the inter-CH links. Therefore, the CB-CA can minimize the interference within multi-channel environments. Our simulation results show that CB-CA can improve the performance of WMNs.

• KOMUNHWA
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• no.68
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• pp.25-39
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• 2006

This article attempts to define identity, role and functions of a university museum and to suggest specialization of the university museum in the perspective of culture, arts, and science. A university museum is defined as a center for the service of the university community and its development which acquires, researches, communicates, exhibits and educates, for purposes of eduinfotainment,29 material evidence of people and their environment. The target user of the today's university museum are not only professors, students, university workers, but also university neighbourhood such as the related professionals, patrons, parents, school children and villagers. A multi-dimensional and multi-purpose university museum can be established and managed in a real world and / or a cyber world in the perspective of culture, arts, and science. Based on a ubiquitous system30 in a cyber world vis-a-vie a real world, the university museum can be easily utilized by users anywhere, anytime and any device. In order to specialize the university museum in the perspective of culture, arts and science, it is desirable that the university museum director with the CEO of the university community promote the specialization of the university museum based on philosophy and strategies of university community management after they definitely evaluate the components and resources of the university museum such as human powers, museum collections, organizational, technological, capital, spacial and symbolic resources, The specialization of the university museum should be projected and executed in the direction of maintaining the typical scope of museum activities and managing the effective museum management. Specializing the university museum in the perspective of culture, arts, and science can contribute not only to establish the identity of the university community and to perform role and functions of the university museum but also to encourage academic development, to revaluate the brand of the university community and to promote the marketing for the university.

• Information Systems Review
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• v.14 no.2
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• pp.1-19
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• 2012

Recently due to the enhancement of education and lifestyle, the trend of healthcare services are changed to a more active and differentiated service in which a continuous self health care is possible. The Smart-Telemedicine system offers medical services by merging Blue-tooth and telecommunication modules to former blood pressure, blood sugar, heartbeat and temperature measuring devices. Moreover, it could analyze one's health pattern which would be helpful for the patient to prevent potential future illness. In addition, the easier accesses to various remote controllable medical check-up programs are offered to public as a number of available smart phone are rapidly escalating. The Smart-Telemedicine system provides the most ideal interactive medical service via accessible smart phones and mobile medical check-up devices at anywhere and anytime. It is very beneficial since it can save patients' time and money because people can reach to the service right at their home and be allowed to take charge of their health care process via longitudinal health data. Therefore, not only social costs that occur in elderly community would be saved, but also business in various forms of medical service field transactions could be possible. This paper will suggest the Smart-Telemedicine System for preventive medicine, its design and analysis of business models and the evaluation of those model.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.55-62
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• 2009

Location based Services in the ubiquitous computing environment, namely u-LBS, use very large and skewed spatial objects that are closely related to locational information. It is especially essential to achieve fast search, which is looking for POI(Point of Interest) related to the location of users. This paper examines how to search large and skewed POI efficiently in the u-LBS environment. We propose the Dynamic-level Grid based R-Tree(DGR-Tree), which is an index for point data that can reduce the cost of stationary POI search. DGR-Tree uses both R-Tree as a primary index and Dynamic-level Grid as a secondary index. DGR-Tree is optimized to be suitable for point data and solves the overlapping problem among leaf nodes. Dynamic-level Grid of DGR-Tree is created dynamically according to the density of POI. Each cell in Dynamic-level Grid has a leaf node pointer for direct access with the leaf node of the primary index. Therefore, the index access performance is improved greatly by accessing the leaf node directly through Dynamic-level Grid. We also propose a K-Nearest Neighbor(KNN) algorithm for DGR-Tree, which utilizes Dynamic-level Grid for fast access to candidate cells. The KNN algorithm for DGR-Tree provides the mechanism, which can access directly to cells enclosing given query point and adjacent cells without tree traversal. The KNN algorithm minimizes sorting cost about candidate lists with minimum distance and provides NEB(Non Extensible Boundary), which need not consider the extension of candidate nodes for KNN search.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.5
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• pp.28-34
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• 2008

The real-time biomedical signal monitoring is a very important factor to realize the ubiquitous healthcare environment. Most of these devices for monitoring the biomedical information get the PPG signal from the user, and these signals are utilized for monitoring their health. It is inconvenient to get the PPG because the user should wear the finger probe with his finger for measuring the PPG signal. Also it is difficult to get the PPG correctly, because of the motion artifacts from the movement of the user. In this paper, we develop the watch type biomedical signal monitoring system without the finger probe, and propose the new algorithm for reducing the motion artifacts from the PPG signal. We designed the system which gets the PPG from the sensor on the wrist band strip. As compared with the finger probe type, this system we proposed is more affected by the motion artifacts. So to filter this motion artifacts, we propose the new method; the improved PMAF(Periodic Moving Average Filter) method.

• Journal of KIISE:Databases
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• v.34 no.2
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• pp.133-140
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• 2007

Flash memory has penetrated our life in various forms. For example, flash memory is important storage component of ubiquitous computing or mobile products such as cell phone, MP3 player, PDA, and portable storage kits. Behind of the wide acceptance as memory is many advantages of flash memory: for instances, low power consumption, nonvolatile, stability and portability. In addition to mentioned strengths, the recent development of gigabyte range capacity flash memory makes a careful prediction that the flash memory might replace some of storage area dominated by hard disks. In order to have overwriting function, one block must be erased before overwriting is performed. This difference results in the cost of reading, writing and erasing in flash memory[1][5][6]. Since this difference has not been considered in traditional buffer replacement technologies adopted in system software such as OS and DBMS, a new buffer replacement strategy becomes necessary. In this paper, a new buffer replacement strategy, reflecting difference I/O cost and applicable to flash memory, suggest and compares with other buffer replacement strategies using workloads as Zipfian distribution and real data.

• Korean Journal of Cognitive Science
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• v.21 no.4
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• pp.447-458
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• 2010

Time expressions are a very important form of information in different types of data. Thus, the recognition of a time expression is an important factor in the field of information extraction. However, most previously designed systems consider only a specific domain, because time expressions do not have a regular form and frequently include different ellipsis phenomena. We present a two-level recognition method consisting of extraction and transformation phases to achieve generality and portability. In the extraction phase, time expressions are extracted by atomic time units for extensibility. Then, in the transformation phase, omitted information is restored using basis time and prior knowledge. Finally, every complete atomic time unit is transformed into a normalized form. The proposed system can be used as a general-purpose system, because it has a language- and domain-independent architecture. In addition, this system performs robustly in noisy data like SMS data, which include various errors. For SMS data, the accuracies of time-expression extraction and time-expression normalization by using the proposed system are 93.8% and 93.2%, respectively. On the basis of these experimental results, we conclude that the proposed system shows high performance in noisy data.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.5
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• pp.517-528
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• 2009

Korean Land Spatialization Program (KLSP) is a R&D program of the National GIS Project for developing ubiquitous GIS technologies under control of Ministry of Land, Transport and Maritime Affairs. The first program from 2006 to 2012, initiated with $132 million of national fund and $42 million of private matching fund. Aiming 'Innovation of the GIS technology for the ubiquitous Korean land', KLSP consists of five core research projects and one research coordination project. The coordination project's purpose is to practically utilize and commercialize the results of core research projects. Korean Land Spatialization Group (KLSG) is planning a test-bed for testing, integrating, and exhibit- ing the KLSP's outcomes. Integrations of the outcomes are mandatory for the successful KLSG Test-Bed. The main objective of this paper is to introduce KLSP test-bed and three methodologies for integration of the outcomes in KLSP. As a plan of integrations, especially, this paper proposes SWE SOS (Sensor Observation Service) prototype to achieve interoperability of the geo-sensor networks.