• 한국공간정보시스템학회:학술대회논문집
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• 2005.11a
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• pp.87-91
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• 2005

최근 언론매체나 인터넷을 통해 자주 접하게 되는 용어 중 하나가 '유비쿼터스'이다. 각종 서비스, 도시건설, 아파트 등 다양한 대상에 'Ubiquitous' 또는 'U-'라는 수식어를 붙이는 것을 흔히 접할 수 있으며, 마치 매우 편리한 환경을 상징하는 키워드처럼 인식되고 있다. 이와 관련하여 현재 우리나라에서는 정보화도시(U-City 또는 디지털시티라고도 함) 건설 추진 및 그에 대한 논의가 활기를 띠고 있다. 이를 통한다면 우리나라는 건설 및 IT강국이라는 핵심역량을 바탕으로 내수경기 부양뿐만 아니라 지역 간 불균형을 해소할 수 있고, 국내성공 사례로 글로벌 시장개척을 위할 수 있으며 넓게는 동북아 비즈니스 허브구축의 발판이 마련될 수 있겠다. 이밖에도 정보화도시(U-City)건설은 많은 산업화의 가치를 가지고 있기 때문에 정부와 지자체, 또한 기업체에서 기술 개발 및 시범사업에 박차를 가하고 있다. 그러나 새로운 도시유형으로서 정보화도시(U-City)의 개념은 아직까지 제도적으로 정립되어 있지 않을 뿐만 아니라 도시건설 시 어떤 특별한 유인책도 마련되어 있지 않다. 그리하여 지방자치단체, 공기업 등 추진주체마다 전개되는 양상이 다르며 이에 수반되는 다양한 문제가 발생한다. 따라서 정보화도시(U-City)의 성공을 위해서는 글로벌 인재들이 유인할 수 있는 매력을 갖추어야 하며 사회적 투자를 지속시킬 수 있는 효과적 방안이 필요하겠고 핵심기술과 이의 활용방안이 마련되어야겠다. 그러나 무엇보다도 정보화도시 건설관련 법, 제도, 사회시스템 정비가 선행되어야하겠다.

• KIEAE Journal
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• v.9 no.5
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• pp.97-104
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• 2009

In the process of urban development, the increase in the number and the complexity of urban facilities gives rise to a variety of problems, such as increase in construction and maintenance cost. In particular, taking into account the fact that an emergency situation in an urban facility can cause substantial loss of property as well as casualties, it becomes important to intelligently perceive states of facilities and properly execute countermeasures through real-time monitoring. In recent years, practitioners and researchers have made efforts to improve current passive and manpower-dependent facility management systems to be more active and intelligent, by applying diverse ubiquitous computing technologies for the u-City project. In this study, after discussing major drawbacks of the conventional facilities management, the concept and the model of a sensor-based integrated intelligent management system for urban facilities are proposed. The proposed model, by analyzing and processing real-time sensor data from urban facilities, not only supports the management of individual facilities, but also enables the detection of complex facility-related events and the process of their countermeasures. This active and intelligent management of urban facilities is expected to overcome the limitation of the conventional facilities management, and provide more suitable facility management services for the u-City development.

• Information and Communications Magazine
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• v.31 no.8
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• pp.3-9
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• 2014

'08.3월 U-City법이 제정되었고, '09년에 U-City법에 근거한 제1차 유비쿼터스도시종합계획 (이하 U-City종합계획)이 수립되었다. 이후 계획에 따라 U-City R&D, U-City시범도시 지원사업 등이 추진되었으며, 기술, 서비스, 인력양성, 산업지원, 법제도 개선 등 다양한 부문에 U-City 지원 정책이 시행되었다. 이로 인해 국내 U-City 사업이 활발히 추진되었으나 주로 공공 주도의 신도시를 중심으로 구축되어 과도한 건설비용 및 관리운영비 부담, 중복투자 등의 다양한 문제를 발생하게 된다. 결국 신도시 조성 개발이익을 통한 U-City 구축은 건설경기의 침체와 함께 심각한 위기를 맞게 된다. 하지만 새정부 출범 이후 U-City는 창조경제 대표사업으로 채택되어 재도약할 수 있는 계기가 마련되었고 정부는 지역경제 활성화의 일환으로 도시재생사업에 U-City를 접목하는 등 U-City 부흥을 위한 시도를 지속적으로 하고 있다. 특히 신도시 개발로 치우쳐서 발생된 기존도시와의 불균형을 해소하기 위해 다각도로 해결방안을 모색하고 있다. 이에 현 시점에서는 기존도시에 초점을 맞추어 U-City 방향을 살펴보는 연구가 필요하며, 기존 신도시형 U-City가 추구했던 정보통신 위주의 계획에서 벗어나 지역특성 및 수준 등을 고려한 도시계획적 측면으로 접근하는 것이 바람직하다. 본고에서는 국내외 스마트시티 동향을 파악하고 우리나라의 신도시개발형 U-City 구축 현황의 문제점을 진단하여 기존도시형 U-City 구축의 필요성을 도출하였다. 이를 토대로 실효성 있는 기존도시 U-City 구현을 위하여 도시계획적 관점에서의 고도화 방안을 모색하고자 한다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.15 no.5
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• pp.20-28
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• 2016

A Ubiquitous City (U-city, Smart City) is one that ties information communications technologies (ICT) into many facets of city construction, thereby implicitly intending to function as a smart city that aims to be efficiently managed as well as provide an enhanced standard of living for its residents. Laws related to the construction of such ubiquitous cities point to integrated city management centers, intelligent facilities, and U-City infrastructure, among others, as central components of U-Cities, but do not provide a standard for these structures. Consequently, building of U-Cities by local governments are based on arbitrary judgments constrained the myriad of practical limitations that they face. Such ambiguity brings to light the need to find ways to improve the quality of these efforts. The first and second stages of this research examine the status of the components of a U-City -ubiquitous planning, technology, infrastructure, and services - and undertakes a comprehensive review thereof, with evaluation criteria formulated on the characteristics of stability, connectivity, goal-orientation, and development potential. In the research's third stage, a realistic and detailed evaluation index by which U-Cities can be renewed, demonstrated, and applied (???) is introduced in a step-by-step fashion, which will allow for local governments to properly assess the standard of their U-City in relation to the realities of the locality. Through the research result, it is expected that the index will become a part of the continued development and advancement of the "smart" character of an autonomous U-City at the local scale, and contribute to the overall revitalization of the U-City.

• Journal of Korean Society of Disaster and Security
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• v.11 no.1
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• pp.15-22
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• 2018

Smart City is a sustainable city that provides a variety of city services to cities that are built with a mix of construction, information and communication technologies, etc. to improve the competitiveness and quality of life of the city. In this paper, we analyze trends of domestic and foreign smart cities and the smart city organization of local governments, and describe the direction of local government's smart city organization system to realize sustainable smart city.

• 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.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.45 no.1
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• pp.41-49
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• 2008

Many machineries and equipments are being changing to various and complicated by development of recent technology and arrival of convergence age in distant future. These various and complicate equipments need more precise outcomes and low-power consumption sensors to get close and exact results. In this paper, we proposed fault tolerance and feedback theorem for sensor network and MEMS circuit which has a benefit of energy efficiency through wireless sensor network. The system is provided with independent sensor communication if possible as unused action, using idle condition of system and is proposed the least number of circuits. These technologies compared system efficiency after examining product of each Moving Distance by developed sensor which gives effects to execution of system witch is reduced things like control of management side and requirement for hardware, time, and interaction problems. This system is designed for practical application; however, it can be applied to a normal life and production environment such as "Ubiquitous City", "Factory Automata ion Process", and "Real-time Operating System", etc.

• Journal of the Korean Institute of Landscape Architecture
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• v.47 no.2
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• pp.59-75
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• 2019

This study was carried out to explore the 4th Industrial Revolution technology from the perspective of the landscape industry to provide the basic data necessary to increase the virtuous circle value. The 4th Industrial Revolution, the characteristics of the landscape industry and urban regeneration were considered and the methodology was established and studied including the technical classification system suitable for systematic research, which was selected as a framework. First, the 4th Industrial Revolution technology based on digital data was selected, which could be utilized to increase the value of the virtuous circle for the landscape industry. From 'Element Technology Level', and 'Core Technology' such as the Internet of Things, Cloud Computing, Big Data, Artificial Intelligence, Robot, 'Peripheral Technology', Virtual or Augmented Reality, Drones, 3D 4D Printing, and 3D Scanning were highlighted as the 4th Industrial Revolution technology. It has been shown that it is possible to increase the value of the virtuous circle when applied at the 'Trend Level', in particular to the landscape industry. The 'System Level' was analyzed as a general-purpose technology, and based on the platform, the level of element technology(computers, and smart devices) was systematically interconnected, and illuminated with the 4th Industrial Revolution technology based on digital data. The application of the 'Trend Level' specific to the landscape industry has been shown to be an effective technology for increasing the virtuous circle values. It is possible to realize all synergistic effects and implementation of the proposed method at the trend level applying the element technology level. Smart gardens, smart parks, etc. have been analyzed to the level they should pursue. It was judged that Smart City, Smart Home, Smart Farm, and Precision Agriculture, Smart Tourism, and Smart Health Care could be highly linked through the collaboration among technologies in adjacent areas at the Trend Level. Additionally, various utilization measures of related technology applied at the Trend Level were highlighted in the process of urban regeneration, public service space creation, maintenance, and public service. In other words, with the realization of ubiquitous computing, Hyper-Connectivity, Hyper-Reality, Hyper-Intelligence, and Hyper-Convergence were proposed, reflecting the basic characteristics of digital technology in the landscape industry can be achieved. It was analyzed that the landscaping industry was effectively accommodating and coordinating with the needs of new characters, education and consulting, as well as existing tasks, even when participating in urban regeneration projects. In particular, it has been shown that the overall landscapig area is effective in increasing the virtuous circle value when it systems the related technology at the trend level by linking maintenance with strategic bridgehead. This is because the industrial structure is effective in distributing data and information produced from various channels. Subsequent research, such as demonstrating the fusion of the 4th Industrial Revolution technology based on the use of digital data in creation, maintenance, and service of actual landscape space is necessary.