• Title/Summary/Keyword: Data Use

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Construction of Land Use Suitability Assessment System for Establishing Urban Management Plan - Focused on Jinju City - (도시관리계획수립을 위한 토지적성평가시스템 구축 -진주시를 중심으로-)

  • 유환희;김성삼;구흥대;정동기
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2004.11a
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    • pp.311-318
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    • 2004
  • The Land Use Suitability Assessment System was recently introduced by the $\ulcorner$Act on Planning and Utilization of the National Territory$\lrcorner$ to use, manage, and develop the national territory, which integrated the National Land Use and Management Act and the Urban Planning Act. It provides a guideline for classifying land use into 5 classes according to locational characteristics, usability, and developmental conditions of land in the vicinity. The database is constructed with LMIS cadastral data, posted land price data, and data of related agencies such as the Korea Forest Service, the Ministry of Environment, and the Korea Water Resources Corporation etc. After the database construction, individual parcels are analysed by steps and classified into 3 sub areas - conservation, agriculture, and development using GIS. In this paper we evaluate land use suitability for individual parcels by constructing the Land Use Suitability Assessment System for Jinju city. Therefore, we suggest that this system provides vital data in the urban management planning process.

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A Study on the Inference Model of In-use Vehicles Emission Distribution according to the Vehicle Mileage (주행거리별 운행차 배출가스 분포 추정 모델에 관한 연구)

  • 김현우
    • Transactions of the Korean Society of Automotive Engineers
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    • v.10 no.4
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    • pp.85-92
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    • 2002
  • To investigate the safety of the in-use vehicles emission against the tail-pipe emission regulation, in-use vehicles emission trend according to vehicle mileage should be known. But it is impossible to collect all vehicles emission data In order to know that. Therefore, it is necessary to establish a statistically meaningful inference method that can be used generally to estimate in-use vehicles emissions distribution according to the vehicle mileage with relatively less in-use vehicles emission data. To do this, a linear regression model that solved the problems of data normality and common variance of error was studied. As a way that can secure the data normality, In(emission) instead of emission itself was used as a sampled data. And a reciprocal of mileage was suggested as a factor to secure common variance of error. As an example, 36 data of FTP-75 test were handled in this study. As a result, using average value and standard deviation at each mileage which were inferred from a linear regression model, probability density distribution and cumulative distribution of emissions according to the vehicle mileage were obtained and it was possible to predict the deterioration factor through full useful life mileage and also possible to decide whether those in-use vehicles will meet the tail-pipe emission regulations or not.

Estimation Method of Energy Consumption by End-Use in Office Buildings based on the Measurement Data (계측데이터를 이용한 업무시설에서의 에너지용도별 사용량 추정방법 연구)

  • Kim, Sung-Im;Yang, In-Ho;Ha, Soo-Yeon;Lee, Soo-Jin;Jin, Hye-Sun;Suh, In-Ae;Song, Seung-Yeong
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.36 no.5
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    • pp.165-176
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    • 2020
  • The purpose of this study is to develop a estimation method of energy consumption by end-use in office buildings. For this, the current status of information on building energy use was investigated, and the domestic and foreign literature on the classification of energy use in non-residential buildings and the estimation method of energy use were reviewed. In addition, the characteristics of energy consumption by end-use were analyzed with measurement data of 48 office buildings in Seoul. As results, the annual and monthly estimation method of energy consumption by end-use in office buildings using public and measurement data was presented, and the applicability of the estimation method was examined by applying to sample office buildings.

Assessment of Epidemiological Data and Surveillance in Korea Substance Use Research: Insights and Future Directions

  • Meekang Sung;Vaughan W. Rees;Hannah Lee;Mohammad S. Jalali
    • Journal of Preventive Medicine and Public Health
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    • v.57 no.4
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    • pp.307-318
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    • 2024
  • Objectives: Effective data collection and surveillance of epidemiological trends are essential in confronting the growing challenges associated with substance use (SU), especially in light of emerging trends and underreporting of cases. However, research and data are scarce regarding SU and substance use disorder (SUD) in Korea. Methods: We conducted a scoping review to identify data sources and surveillance methods used in SU research in Korea up to December 2023. This review was complemented by semi-structured consultations with experts in this area in Korea, whose feedback led to revisions of previously identified data sources and assessments. Results: Our review identified 32 publications conducting secondary analyses on existing data to examine the epidemiology of SU and SUD in Korea. Of these, 14 studies utilized clinical databases to explore the prescription patterns of addictive substances, particularly opioids. Eleven data sources showed promise for advancing SU research; however, they face substantial limitations, including a lack of available data, missing data, the absence of key variables, the exclusion of marginalized populations not captured within the clinical system, and complexities in matching individual-level data across time points and datasets. Conclusions: Current surveillance methods for SU in Korea face considerable challenges in accessibility, usability, and standardization. Moreover, existing data repositories may fail to capture information on populations not served by clinical or judicial systems. To systematically improve surveillance approaches, it is necessary to develop a robust and nationally representative survey, refine the use of existing clinical data, and ensure the availability of data on treatment facilities.

Errors Verification for Constructing Database of Land Use Suitability Assessment System (토지적성평가시스템 DB구축을 위한 오류검증)

  • Yoo Hwan Hee;Kim Weon Seok;Park Ki Youn;Kim Seong Sam
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.23 no.2
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    • pp.177-187
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    • 2005
  • The Land Use Suitability Assessment System was recently introduced by the Act on Planning and Utilization of the National Territory to use, manage, and develop the national territory, which integrated the National Land Use and Management Act and the Urban Planning Act. It provides a guideline for land use according to locational characteristics, usability, and developmental conditions of land in the vicinity. The database is constructed with LMIS cadastral data, posted land price data, and the data of related agencies such as the Korea Forest Service, the Ministry of Environment, and the Korea Water Resources Corporation etc. In this paper we describe accurate database construction method fur land use suitability assessment system as classifying and verifying errors deriving from database construction focused on Jinju city. Those data errors have the problems such as accuracy difference among the related agencies data, gap of data acquisition time, and non-consideration of latest updated data etc.

Establishing Application System of KOMPSAT-1

  • Choi, Gi-Hyuk;Lee, Joo-Hee;Paik, Hong-Yul
    • Korean Journal of Remote Sensing
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    • v.15 no.4
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    • pp.349-356
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    • 1999
  • Korea Multi-Purpose Satellite-l (KOMPSAT-l) has been developed by the Korea Aerospace Research Institute (KARI) with the aid of TRW and will be launched on the December 21, 1999 at the Vandenberg Air Base in CA, U.S. Now, the satellite application group in KARI is preparing for the service with the KOMPSAT-l satellite data. For the purpose of supplying good service to the users, data application planning has to be established before launching satellite. To use satellite data effectively, KARI makes a plan for data policy, data price, mission planning, and commercializing strategy. This study was carried out with the purpose of effective use of satellite data. For this purpose, KARI, first, made 60 user groups to use KOMPSAT-l data for public welfare and research sectors. These user groups include government, public corporations, institutes, and universities. KARI will offer the service to users through online using Internet. Secondly, KARI made a policy for the priority of KOMPSAT-l missions. These are classified by the mission priority, payloads, and operational states etc. Thirdly, KARI will make data policy and data price of KOMPSAT-l based on the basic master plan. Especially, data price will be determined at the KOMPSAT-l committee including Ministry of Science and Technology (MOST). KARI is also trying to commercialize the data with the domestic and foreign companies to expand the use of KOMPSAT-l data in the industries sector. Afterward in this study, KARI will continue the improvement for the effective distribution of KOMPSAT-l data for all users.

Evaluation of Hydrological Impacts Caused by Land Use Change (토지이용변화에 따른 수문영향분석)

  • Park, Jin-Yong
    • Magazine of the Korean Society of Agricultural Engineers
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    • v.44 no.5
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    • pp.54-66
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    • 2002
  • A grid-based hydrological model, CELTHYM, capable of estimating base flow and surface runoff using only readily available data, was used to assess hydrologic impacts caused by land use change on Little Eagle Creek (LEC) in Central Indiana. Using time periods when land use data are available, the model was calibrated with two years of observed stream flow data, 1983-1984, and verified by comparison of model predictions with observed stream flow data for 1972-1974 and 1990-1992. Stream flow data were separated into direct runoff and base flow using HYSEP (USGS) to estimate the impacts of urbanization on each hydrologic component. Analysis of the ratio between direct runoff and total runoff from simulation results, and the change in these ratios with land use change, shows that the ratio of direct runoff increases proportionally with increasing urban area. The ratio of direct runoff also varies with annual rainfall, with dry year ratios larger than those for wet years shows that urbanization might be more harmful during dry years than abundant rainfall years in terms of water yield and water quality management.

Study of the effective use pattern using Data Mining in a mobile grid (모바일 그리드에서 데이터마이닝을 이용한 효율적인 사용자 패턴 연구)

  • Kim, Hyu Chan;Kim, Mi Jung
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.9 no.2
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    • pp.23-32
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    • 2013
  • The purpose of this study is to make effective mobile grid considered general environment, which can be summarized as irregular mobility, service exploration, data sharing, variety of machines, limit to the battery duration, etc. The data was extracted from the Dartmouth College. We analysed mobile use pattern of a specific group and applied pattern using hybrid method. As a result, we could adjust infra usage effectively and appropriately and cost cutting and increase satisfaction of user. In this study, by applying weighting method based on access time interval, we analysed use pattern added time variation with association rule during users in mobile grid environment. We proposed more stable way to manage patterns in a mobile grid environment that is being used as a hybrid form to process the data value received from the server in real time. Further studies are needed to get appropriate use pattern by group using use patterns of various groups.

Research on the Use of Pseudonym Data - Focusing on Technical Processing Methods and Corporate Utilization Directions - (가명 데이터 활용연구 - 기술적 처리방법 및 기업의 활용방향을 중심으로 -)

  • Kim, Jung-Sun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.30 no.2
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    • pp.253-261
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    • 2020
  • This study examines the technologies and application processes related to the use of pseudonym data of companies after the passage of the Data 3 Act to activate the data economy in earnest, and what companies should prepare to use pseudonym data and what will happen in the process It was intended to contribute to the elimination of uncertainty. In the future, companies will need to extend the information security management system from the perspective of the existing IT system to manage and control data privacy protection and management from a third party provisioning perspective. In addition, proper pseudonym data use control should be implemented even in the data use environment utilized by internal users. The economic effect of market change and heterogeneous data combination due to the use of pseudonymized data will be very large, and standards for appropriate non-identification measures and risk assessment criteria for data utilization and transaction activation should be prepared in a short time.

Annual Intensities (2016-2017) Analysis of Energy Use and CO2 Emission by End Use based on Measurements of Sample Apartment Units (표본건물 계측에 의한 공동주택 세대에서의 용도별 에너지사용량 및 CO2 배출량 연간 원단위 (2016 - 2017) 분석)

  • Jin, Hye-Sun;Lim, Han-Young;Lee, Soo-Jin;Kim, Sung-Im;Lim, Jae-Han;Song, Seung-Yeong
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.34 no.7
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    • pp.43-52
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    • 2018
  • In this study, annual site and primary energy use intensities (EUIs) and CO2 emission intensities (CEIs) per area by end use were estimated based on the measurement data from June 2016 to May 2017 of 50 sample apartment units in Seoul. In addition, estimated site EUIs by end use were compared to the U.S. Residential Energy Consumption Survey (RECS) 2009 data. Site EUIs by end use were found to be in the order of heating > electric appliance > domestic hot water > cooking > lighting > cooling > air movement. In the case of primary EUIs and CEIs by end use, electric appliance was found to be the largest. As results of comparison with the RECS 2009 data, it was found that site EUIs were very similar for heating, domestic hot water and electric appliance, etc., but slightly different for cooling. The number of sample apartment units will continue to increase until 2020 (total number of samples 200) and intensities data by end use will be continuously updated through continuous collection of measurement data.