• 정보화사회
• /
• s.179
• /
• pp.8-9
• /
• 2006

텔레매틱스의 한 분야를 차지하고 있는 LBS(지리정보서비스)는 도시 구석구석이 유.무선 네트워크로 연결돼 편리하고 안전한 환경을 조성하는 'U-시티' 시대를 구성할 수 있을 뿐아니라 생활의 편리함을 안겨준다는 이유에서 차세대 컨텐츠로 각광받고 있다. 모바일 분야의 경우, 그 동안 게임 위주의 오락 이 시장을 이끌어왔지만 향후에는 위치정보가 주도할 것으로 평가되고 있다.

• Informatization Policy
• /
• v.24 no.4
• /
• pp.79-92
• /
• 2017

As city functions develop more complex and advanced, interests in smart cities are also increasing. Smart cities refer to the cities effectively solving urban problems such as traffic, safety, welfare, and living issues by utilizing ICT. Recently, many countries are attempting to introduce big data, Internet of Things, and artificial intelligence into smart cities, but they have not yet developed into comprehensive urban services. In this paper, we review the current status of domestic and overseas smart cities and suggest ways to solve issues of data sharing and service compatibility. To this end, we propose a "Deep Learning City Framework" that incorporates the deep learning technology into smart city services, and propose a new smart city strategy that safely shares spatial and temporal data in cities and converges learning data of various cities.

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

• Informatization Policy
• /
• v.29 no.4
• /
• pp.91-108
• /
• 2022

Keen attention has been directed at "smart tourism cities" due to its role of solving urban problems arising from modern tourism development. However, some local governments are making huge investments in developing uniform tourism apps without specific directions or guidelines for the transformation of smart tourism cities. Accordingly, this study aims to develop a standardized and objective smart tourism competitiveness index and evaluate the competitiveness rankings of various cities around the world. The index comprises the five subindices of attractiveness, accessibility, digitalization readiness, sustainability, and co-partnership. The analysis results have shown that Singapore is the most competitive smart tourism city, followed by Amsterdam, New York City, Seoul and Barcelona, with Ho Chi Minh and Bangkok being relegated to the bottom of competitiveness rankings. We expect that this index can be employed as a global standard for continuously and systematically monitoring smart tourism city-related projects in the future.

• Proceedings of the KAIS Fall Conference
• /
• 2009.05a
• /
• pp.663-665
• /
• 2009

현대 사회는 정보의 중요성이 부각되고, 유무선 네트워크 기술이 발전함에 따라 이동 중에 통신 서비스가 가능한 환경으로 변화하고 있다. 특히, 정보화 기기가 소형화, 지능화됨에 따라 이 기기들이 자유롭게 네트워크에 연결되어 정보를 공유할 수 있는 유비쿼터스(ubiquitous) 환경의 필요성은 더욱 증가하고 있다. uMC는 도시의 모든 기반 시설물을 관리, 관제하고 운용하는 새로운 개념의 도시 통합관제 센터로 기존의 소방 방재센터, CCTV, 경찰청 등의 단위 시스템별 관제 센터 등을 물리적으로 통합하고 모든 시설물과의 네트워크 통신 등을 통합 관리하는 도시 관리의 중추적인 역할을 수행한다. 본 논문에서는 uMC에 접속하는 과정에서 접근 및 보안성을 강화하기 위해 네트워크상에 존재하는 단말기기에 효율적으로 IP를 할당하고 인증 할 수 있는 방안을 연구한다.

• Spatial Information Research
• /
• v.18 no.5
• /
• pp.63-74
• /
• 2010

The construction of digital geographic information of Non-Urban Area have been needed to build a nationwide information infrastructure for the balanced development of nation to reduce a gap between city and Non-Urban Area due to the emphasis on a large scale digital map (1/1,000) implementation for cities. In this research, we researched the basic long-term blueprint for establishing digital geographic information in non-urban area. From the proposed institutional foundation, we want to build this information for Non-Urban Areas and to make a long-term plan to strengthen the national com petitiveness dealing with the globalization, liberalization, and information based on the digital geographic information in non-urban area. This study suggested 3 alternatives to implement digital geographic information of Non-Urban Area as follow. Firstly central government fund whole cost, secondly central government and local government fund a cost half and half, lastly combining first and second alternative. This study can be a basis on building national information infrastructure, provide core information for national projects and revitalize the use of spatial information for Non-Urban Area.

• The Journal of the Korea Contents Association
• /
• v.11 no.1
• /
• pp.396-403
• /
• 2011

According to the development of information and the possibility of utilizing the most effective were high hopes that a plan is in the area have. Planning process of data collection and analysis and forecasts necessary, because even before the introduction of information, logical reasoning and objectivity of the plan to increase the variety of efforts have been made at an early age. This research try to offer a foundation for the future direction of research. Firstly, land use information systems and related legal issues and sought to review the status. Second, the information system of land use and spatial planning and diagnosing the problem was related to the status of the system. This desirable to propose the development of informatization. Finally, the purpose and the information derived legal system's ability to exert maximum legal system of the maintenance and development of information systems is to propose.

• Journal of agricultural medicine and community health
• /
• v.25 no.2
• /
• pp.413-425
• /
• 2000

The purpose of this study was to compare the health services information need between urban area and rural area in Sooncheon City. For accomplishing this purpose, we selected 1,060 adults randomly, 744 urban residents and 314 rural residents were surveyed from 1st, December to 31st, December in 1999. Compared the difference between two areas by cross tabulation, and chi-square test were used. The results of this study are as follows: 1. There were statistically difference in sociodemographic characteristics between urban residents and rural residents, such as age, education, job, income, and insurance payment(p<0.001). 2. According to the health utilization behavior, types of health facility, satisfaction of medical cost, and satisfaction of medical results were statistically different between the two areas(p<0.001). Also utilization of the health service center, and accessibility were statistically different between urban and rural areas(p<0.001). 3. Experiencing the health service information, type of health service information, methods of information, effectiveness, and satisfaction were statistically different between the two areas(p<0.001). 4. And experience of using computer, and internet and preference of method of health service information were statistically different between urban and rural areas. Therefore, the construction of health information system should be carefully reviewed by community health service centers and they should consider the different residents information needs, and accessibility and convenience of community residents.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2022.05a
• /
• pp.63-63
• /
• 2022

기상 예보자료는 발생 가능한 재난의 예방 및 대비 차원에서 매우 중요한 자료로 활용되고 있다. 우리나라 기상청에서는 동네예보를 통해 5km 공간해상도의 1시간 간격 초단기예보와, 6시간 간격 정량강우예보(Quantitative Precipitation Forecast, QPF)의 단기예보 정보를 제공하고 있다. 그러나 이와 같은 예보자료는 강우량의 시·공간변화가 큰 집중호우와 같은 기상자료를 활용한 수문학적인 해석에는 한계가 있다. 예보자료를 수문학에 활용하기 위한 시·공간적 해상도 개선뿐만 아니라 방대한 기상 및 기후 자료의 예측성능을 개선하기 위한 다양한 연구가 진행되고 있다. 본 연구에서는 기상청이 제공하는 지역 앙상블 예측 시스템(Local ENsemble prediction System, LENS)와 종관기상관측시스템(ASOS) 및 방재기상관측시스템(AWS) 관측 데이터 및 동네예보에 기계학습 방법을 적용하여 수문학적 정량적 강수량 예측(Hydrological Quantitative Precipitation Forecast, HQPF) 정보를 생산하였다. 전처리 과정을 통해 모든 데이터의 시간해상도와 공간해상도를 동일한 해상도로 변환하였으며, 예측 변수의 인자 분석을 통해 기계학습의 예측 변수를 도출하였다. 기계학습 방법으로는 처리속도와 확장성을 고려하여 XGBoost(eXtreme Gradient Boosting) 방식을 적용하였으며, 집중호우에서의 예측정확도를 높이기 위해 확률매칭(PM) 방식을 적용하였다. 생산된 HQPF의 성능을 평가하기 위해 2020년에 발생한 14건의 호우 사상을 대상으로 태풍형과 비태풍형으로 구분하여 검증을 수행하였다.

• Journal of Korea Water Resources Association
• /
• v.54 no.spc1
• /
• pp.1071-1081
• /
• 2021

In addition to the current quality control procedures for the weather observation performed by the Korea Meteorological Administration (KMA), this study proposes quality inspection standards for Internet of Things (IoT) urban weather observed data based on machine learning that can be used in smart cities of the future. To this end, in order to confirm whether the standards currently set based on ASOS (Automated Synoptic Observing System) and AWS (Automatic Weather System) are suitable for urban weather, usability was verified based on SKT AWS data installed in Seoul, and a machine learning-based quality control algorithm was finally proposed in consideration of the IoT's own data's features. As for the quality control algorithm, missing value test, value pattern test, sufficient data test, statistical range abnormality test, time value abnormality test, spatial value abnormality test were performed first. After that, physical limit test, stage test, climate range test, and internal consistency test, which are QC for suggested by the KMA, were performed. To verify the proposed algorithm, it was applied to the actual IoT urban weather observed data to the weather station located in Songdo, Incheon. Through this, it is possible to identify defects that IoT devices can have that could not be identified by the existing KMA's QC and a quality control algorithm for IoT weather observation devices to be installed in smart cities of future is proposed.