• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.75-91
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• 2015

This study aims to analyse the U-City characteristics through the U-City historical mapping. The U-City characteristics were analysed by building the U-City historical map in terms of STIM model which consists of service, technology, infrastructure and management. The data for analysis is the National Informatization White Paper published by the NIA (National Information Society Agency) from 2002 to 2013. As a result, first, the U-City service were evolved from administration informatization, enterprise informatization, administration/living informatization and administration/space/private informatization through the intelligence facilities and space. Second, the U-City technology were changed through wire network, sensor/network, processing/super-highway network, convergence of network/security. Third, the U-City infrastructure have had evolutionary process such as wire computer network, wire/wireless network, intellectualization facility and intelligent facility space. Forth, the U-City management were carried out with making the unit network/infrastructure management, information connection/operating management and information integration/participation management. Therefore, the history of U-City has been making rapid development in government computerization, computer oriented society, information city and ubiquitous city.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.04a
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• pp.1298-1301
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• 2012

국내 유시티 개발에 있어서는 다양한 교통정보서비스들을 계획하고 구축하고 있다. 그러나 표준화된 서비스 모델이 제시되어 있지 않아서 서비스 내용이 중복되거나 각 서비스간 연계에 있어서 효율적으로 이루어지지 않고 있다. 본 연구에서는 기존 유시티 구축사례들을 중심으로 실시간 교통서비스들을 조사 분석하여 효과적인 실시간교통서비스 통합모델을 제시하였다. 아울러 그에 따른 장비선정 및 구축 가이드라인을 제안하였다. 이에 따라 추후 유시티를 구축할 때 표준화된 서비스 모델에 따라 비용효과 및 연계의 효율성을 기대할 수 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.1369-1372
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• 2010

유비쿼터스 및 건설기술 등이 융합된 유시티는 최근 신도시를 중심으로 활발하게 구축 중에 있다. 그러나 구축 및 운영에 있어 고비용의 예산요구로 실효성을 얻기에 많은 어려움을 겪고 있다. 특히, 유시티 통합네트워크센터에서 요구되는 표준화된 유시티 통합플랫폼의 부재로 각각의 유시티에서 개발된 U-서비스의 재활용이 어려울 뿐만 아니라 U-서비스 간 연계에 많은 어려움이 발생하고 있다. 이에 따라 본 연구에서는 SOA기반 통합플랫폼을 제시함으로써 U-서비스의 쉽고 빠른 개발, 개발된 서비스의 재활용 및 서비스 간 연계 효율성을 높일 수 있도록 설계하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1047-1050
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• 2011

U-City 건설은 도시의 과밀화 및 자원부족, 경제 사회적 급격한 변화 등으로 발생하게 되는 각종 도시문제들을 첨단정보통신기술을 활용하여 저비용, 고효율적인 해결방안으로 대두되고 있다. 그러나 신도시를 중심으로 유시티 건설을 추진 중인 많은 지방자치단체에서 무분별한 서비스 개발로 인해 유지보수 및 운영에 따른 어려움을 겪고 있고 사업시행자에게도 개발 비용부담을 가중시키고 있다. 이에 따라 본 연구에서는 유시티 건설 사업에서 제기되고 있는 유시티 서비스 구축 범위에 대하여 여러 분류 및 적용 방법들을 제안하여 합리적인 유시티 서비스 건설기준 수립 방안을 제시하였다.

• Spatial Information Research
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• v.20 no.5
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• pp.37-47
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• 2012

This study analyzes the changes of lifestyle and urban spaces with the advent of U-City and tries to propose a direction of urban policies reflecting them. For this, it investigates lifestyle changes to predict the phase of urban spaces in the future. In a survey on urban functionalities with downtown as the main space of activities, it was expected that traffic for the use of these functionalities would be reduced. Traffic reduction was predicted to restrain downtown from growing and weaken the concentration of downtown activity. For the reorganization of existing spaces, in particular, public spaces would be changed to multi-purpose spaces in which various urban activities can be carried out using ubiquitous technologies. With the advent of U-City and the various changes of conditions, it is expected that the demand for land use and urban planning facilities would be altered by downtown and peripheries. A planning tool with a more concrete demand estimation of the future demand in individual areas of usage should be developed and it should be reflected in urban planning. Also, with the integration of functionalities so that more efficient land use will be possible, flexible designation of usage areas is necessary. Along with this, to prevent the decline of old downtown areas and provincial cities, the balanced installation of IT-related infrastructures will precede.

• Proceedings of the Korea Contents Association Conference
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• 2015.05a
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• pp.219-220
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• 2015

과거 수천 년의 역사를 통째로 바꾸어놓았던 산업혁명 이상의 거대한 변화가 가까운 미래에 인류를 기다리고 있고, 이에 세계각국은 융합인재양성에 주력하고 있다. 한국은 지난 20년 동안 인터넷 및 유비쿼터스 혁명을 거치며 스마트러닝과 유시티라는 훌륭한 솔루션과 인프라를 만들어냈으며, 이러한 발전의 연장선상에서 융합인재양성의 중요한 배경으로 이들을 활용해야만 한다. 미래를 위한 교육과 교육콘텐츠는 도시와 나라의 산업역량이 함께 융합되어 이루어져야한다.

• Spatial Information Research
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• v.17 no.4
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• pp.417-430
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• 2009

This study examined correlations between U-Service for U-City and assessment indicators for urban competitiveness. The results of this study show that U-Service is used as a means of strengthening urban competitiveness in six types of cities, despite the differences in degree of contribution. The proper use of U-Service in Safety & Health City and Vitality (Economy) City has significantly contributed to strengthening the competitiveness of such cities. Of the assessment items for urban competitiveness, common items and Culture City type show that U-Service has not contributed much to strengthening urban competitiveness. The analysis shows that because common items are part of the assessment items for urban policies, these items are not suitable to the character of a U-City that implements U-Service through intelligent physical facilities. On the other hand, U-Service related to the Culture City type is relatively less developed. This study found out that U-Service could be used to reinforce urban competitiveness.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.7
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• pp.2632-2637
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• 2010

Information in UbiComp Environment are transformed to knowledge by relationship in a spatio-temporal location, and then became intelligent contents with task procedures or application models. The entities in U-City has lots of relationships. It is important in U-City contents to provide intelligent and personalized response to meet the intention of users. We extend the spatial ontology model of SPIRIT to other domain. Domain ontologies are consist of type, relation, and instance ontologies. When the relationship model by shared concepts are not defined, we used the spatio-temporal events to find relationships. So we proposed the methods to recommend semantically related terms, not syntactically.

• Journal of Internet Computing and Services
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• v.15 no.3
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• pp.45-52
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• 2014

The Ubiquitous-City (U-City) is a smart or intelligent city to satisfy human beings' desire to enjoy IT services with any device, anytime, anywhere. It is a future city model based on Internet of everything or things (IoE or IoT). It includes a lot of video cameras which are networked together. The networked video cameras support a lot of U-City services as one of the main input data together with sensors. They generate huge amount of video information, real big data for the U-City all the time. It is usually required that the U-City manipulates the big data in real-time. And it is not easy at all. Also, many times, it is required that the accumulated video data are analyzed to detect an event or find a figure among them. It requires a lot of computational power and usually takes a lot of time. Currently we can find researches which try to reduce the processing time of the big video data. Cloud computing can be a good solution to address this matter. There are many cloud computing methodologies which can be used to address the matter. MapReduce is an interesting and attractive methodology for it. It has many advantages and is getting popularity in many areas. Video cameras evolve day by day so that the resolution improves sharply. It leads to the exponential growth of the produced data by the networked video cameras. We are coping with real big data when we have to deal with video image data which are produced by the good quality video cameras. A video surveillance system was not useful until we find the cloud computing. But it is now being widely spread in U-Cities since we find some useful methodologies. Video data are unstructured data thus it is not easy to find a good research result of analyzing the data with MapReduce. This paper presents an analyzing system for the video surveillance system, which is a cloud-computing based video data management system. It is easy to deploy, flexible and reliable. It consists of the video manager, the video monitors, the storage for the video images, the storage client and streaming IN component. The "video monitor" for the video images consists of "video translater" and "protocol manager". The "storage" contains MapReduce analyzer. All components were designed according to the functional requirement of video surveillance system. The "streaming IN" component receives the video data from the networked video cameras and delivers them to the "storage client". It also manages the bottleneck of the network to smooth the data stream. The "storage client" receives the video data from the "streaming IN" component and stores them to the storage. It also helps other components to access the storage. The "video monitor" component transfers the video data by smoothly streaming and manages the protocol. The "video translator" sub-component enables users to manage the resolution, the codec and the frame rate of the video image. The "protocol" sub-component manages the Real Time Streaming Protocol (RTSP) and Real Time Messaging Protocol (RTMP). We use Hadoop Distributed File System(HDFS) for the storage of cloud computing. Hadoop stores the data in HDFS and provides the platform that can process data with simple MapReduce programming model. We suggest our own methodology to analyze the video images using MapReduce in this paper. That is, the workflow of video analysis is presented and detailed explanation is given in this paper. The performance evaluation was experiment and we found that our proposed system worked well. The performance evaluation results are presented in this paper with analysis. With our cluster system, we used compressed $1920{\times}1080(FHD)$ resolution video data, H.264 codec and HDFS as video storage. We measured the processing time according to the number of frame per mapper. Tracing the optimal splitting size of input data and the processing time according to the number of node, we found the linearity of the system performance.

• 한국디지털정책학회:학술대회논문집
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• 2007.06a
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• pp.341-347
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• 2007

본 연구는 현재와 미래의 유비커터스 도시생활에 있어서 범죄를 줄이고 철저한 대비를 하기 위하여 각종 범죄에 관한 예방 및 실제상황 정보를 체계적으로 수집 및 분석하고 이를 활용 할 수 있는 U-Safety시스템이 요구되고 있다. 안전한 삶을 위협하는 다양한 요인들에 유비쿼터스 기술을 이용하여 W-safety를 구현해 보고자 몇 가지 방법들을 사례를 통해 고찰하였다.