• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.30-30
• /
• 2021

우리나라 수리시설물 중 30년 이상 경과된 수리시설물은 전체의 61%를 차지하며, 특히 저수지의 경우 저수지의 약 84% 정도는 50년 이상 된 노후 저수지로 분류되고 있어 지속적인 보수·보강 필요하며 향후 기후변화에 취약할 것으로 예상된다. 이수측면에서 설계기준이 되는 설계한발빈도는 농업용 저수지의 내한능력을 나타내는 것으로 수리시설의 규모를 결정하는 기준이 된다. 국내의 경우 1982년 농지개량사업계획 설계기준 댐편에 한발빈도 10년 기준을 채택하여 사용되고 있으며, 현재 농업용 저수지의 이수안전도는 한발빈도 설계기준을 대신하여 사용하고 있다. 농업용 저수지의 이수안전도는 기존 설계기준에 의한 물수지법에 따른 저수지의 설계빈도로 산정되어 기후 및 영농변화, 용수수요의 변화, 농법의 변화 등 현장의 물관리 여건을 반영하는데 한계가 있다. 실제 저수지의 이수능력은 한발빈도 설계기준으로 대변되는 공급가능량 및 평야부 용배수로의 형상에 따라 농업용수 공급역량이 상이하므로, 평야부를 포함하는 농촌유역, 농촌공간의 이수안전도 개념이 도입되어야 한다. 또한 국가의 유관기관들은 특성 및 용도에 맞는 용수공급 정보를 생산하여 모니터링 자료를 제공하고 있지만, 실제 현장에서 체감하는 물 부족 및 이수관련 문제 해결을 위해 현장기반 데이터 활용이 필요하다. 본 연구에서는 기존 경험에 의한 관행적인 물관리 자료, 저수지 관련 계측 자료, 위성영상 자료, 비정형 미디어 데이터 등 이수 관련 분야의 빅데이터를 통합 구축하여 농촌유역 이수안전도의 개념을 정의하고자 한다.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.20 no.4
• /
• pp.89-101
• /
• 2017

Crime occurs differently based on not only place locations and building uses but also the characteristics of the people who use the place and the spatial structures of the buildings and locations. Therefore, if spatial big data, which contain spatial and regional properties, can be utilized, proper crime prevention measures can be enacted. Recently, with the advent of big data and the revolutionary intelligent information era, predictive policing has emerged as a new paradigm for police activities. Based on 7420 actual crime incidents occurring over three years in a typical provincial city, "J city," this study identified the areas in which crimes occurred and predicted risky areas. Spatial regression analysis was performed using spatial big data about only physical and environmental variables. Based on the results, using the street width, average number of building floors, building coverage ratio, the type of use of the first floor (Type II neighborhood living facility, commercial facility, pleasure use, or residential use), this study established a Crime Incident Prediction Model (CIPM) based on Bayesian probability theory. As a result, it was found that the model was suitable for crime prediction because the overlap analysis with the actual crime areas and the receiver operating characteristic curve (Roc curve), which evaluated the accuracy of the model, showed an area under the curve (AUC) value of 0.8. It was also found that a block where the commercial and entertainment facilities were concentrated, a block where the number of building floors is high, and a block where the commercial, entertainment, residential facilities are mixed are high-risk areas. This study provides a meaningful step forward to the development of a crime prediction model, unlike previous studies that explored the spatial distribution of crime and the factors influencing crime occurrence.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.2
• /
• pp.74-84
• /
• 2022

Vehicle average speed information which measured at a point or a short section has a problem in that it cannot accurately provide the speed changes on an actual highway. In this study, segment separation method based on vehicle big data for accurate micro-speed estimation is proposed. In this study, to find the point where the speed deviation occurs using location-based individual vehicle big data, time and space mean speed functions were used. Next, points being changed micro-scale speed are classified through gradual segment separation based on geohash. By the comparative evaluation for the results, this study presents that the link-based speed is could not represent accurate speed for micro-scale segments.

• Journal of Satellite, Information and Communications
• /
• v.9 no.4
• /
• pp.57-62
• /
• 2014

In this paper, we proposed and implemented a crime pattern analysis algorithm using big data. The proposed algorithm uses crime-related big data collected and published in the supreme prosecutors' office. The algorithm analyzed crime patterns in Seoul city from 2011 to 2013 using the spatial statistics analysis like the standard deviational ellipse and spatial density analysis. Using crime frequency, We calculated the crime probability and danger factors of crime areas, time, date, and places. Through a result we analyzed spatial statistics. As the result of the proposed algorithm, we could grasp differences in crime patterns of Seoul city, and we calculated degree of risk through analysis of crime pattern and danger factor.

• Journal of the Korean Regional Science Association
• /
• v.39 no.1
• /
• pp.21-36
• /
• 2023

Entering the era of low growth due to changes in social and economic conditions, most cities across the country are actively promoting urban regeneration. Although urban regeneration is a project with huge national finances, a clear evaluation system has not yet been established. In order to ensure the sustainability of urban regeneration, it is necessary to secure the validity of urban regeneration policies and establish a reflux system to supplement the policies. The purpose of this study is to derive the limitations of the existing comprehensive performance evaluation and to develop an improved urban regeneration policy comprehensive performance evaluation technique based on spatial big data. The urban regeneration comprehensive performance evaluation technique differentiated the areas affected by the urban regeneration project and the surrounding areas based on the type of urban regeneration project and the presence or absence of large cities and middle cities. The effects of urban regeneration were quantitatively verified through relative comparison between the areas affected by urban regeneration projects and the surrounding areas of population, society, economy, industry, physical and environmental evaluation indicators.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.27 no.2
• /
• pp.19-33
• /
• 2024

CCTV for crime prevention is expanding; however, due to the absence of guidelines for determining installation locations, CCTV is being installed in locations unrelated to areas with frequent crime occurrences. In this study, we developed a CCTV Priority Installation Index and applied it in a case study area. The index consists of crime vulnerability and surveillance vulnerability indexes, calculated using machine learning algorithms to predict crime incident counts per grid and the proportion of unmonitored area per grid. We tested the index in a pilot area and found that utilizing the Viewshed function in CCTV visibility analysis resolved the problem of overestimating surveillance area. Furthermore, applying the index to determine CCTV installation locations effectively improved surveillance coverage. Therefore, the CCTV Priority Installation Index can be utilized as an effective decision-making tool for establishing smart and safe cities.

• Proceedings of the Korea Contents Association Conference
• /
• 2018.05a
• /
• pp.149-150
• /
• 2018

지능정보사회가 도래하면서 주거공간인 홈에서 건강관리, 가사/편의, 쇼핑, 보안/안전, 여가/엔터테이먼트, 에너지 등 다양한 홈에서의 활동이 인공지능, 빅데이터, 모바일 등 지능정보기술과 접목되어 단순 주거 공간에서 지능형 모바일 환경의 허브 공간으로서 홈의 역할에 대한 중요성이 증대하고 있다. 이에 본고에서는 Intelligence life구현을 위한 공간으로 부각되고 있는 스마트홈 서비스 활성화를 위해 스마트홈의 핵심 수요를 파악하고 R&D 이슈를 고찰하여 시사점을 제시하고자 한다.

• Korea Science and Art Forum
• /
• v.34
• /
• pp.133-148
• /
• 2018

Korea's housing structure is predicted that one-person housing will be the most common type of housing in Korea. Therefore, this study intends to derive contents for designing a one-person housing space considering the life of a rapidly increasing one-person householder. For this purpose, this study objectively derives the social, economic and cultural influencing factors of one-person households through big data analysis, and analyzed the correlation between contents using social network analysis methodology. In this paper, 60 core contents related to one person housing space were derived by applying big data analysis methodology. And through social network analysis, the most influential contents were derived from the space editing and space composition categories. This means that the residential space is an important part of the design idea that can flexibly respond to changes in the user's life. Based on this study, future research will focus on the concept and design methodology of one-person housing space.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.17 no.2
• /
• pp.72-81
• /
• 2014

As big data are one of main issues in the recent days, the interests on their technologies are also increasing. Among several technological bases, this study focuses on data visualization and R based on open source. In general, the term of data visualization can be summarized as the web technologies for constructing, manipulating and displaying various types of graphic objects in the interactive mode. R is an operating environment or a language for statistical data analysis from basic to advanced level. In this study, a web application with these technological aspects and components is newly implemented and exemplified with data visualization for geo-based open data provided by public organizations or government agencies. This application model does not need users' data building or proprietary software installation. Futhermore it is designed for users in the geo-spatial application field with less experiences and little knowledges about R. The results of data visualization by this application can support decision making process of web users accessible to this service. It is expected that the more practical and various applications with R-based geo-statistical analysis functions and complex operations linked to big data contribute to expanding the scope and the range of the geo-spatial application.

• Journal of Digital Contents Society
• /
• v.18 no.5
• /
• pp.923-932
• /
• 2017

Based on the metadata of BIGkids, a news big data system, this study analyzed the trends of news coverage by the major fields and topics related to Deoksugung Doldam-gil in mass media. In addition, we tried to interpret the space discourse of Deoksugung Doldam-gil which has been formed in contemporary period through the analysis of data related to BIGKinds, the contents of related reports and context. As a result of the analysis, the coverage of Deoksugung Doldam-gil was mostly reported in the field of 'Culture', and the news related to 'Cooking_Travel', 'Exhibition_Performance' and 'Broadcasting Entertainment.' Deoksugung Doldam-gil was categorized as the pedestrian freindly street, the cultural and artistic street, and the historical street, and interpreted the spatial discourse with related news contents.