• Title/Summary/Keyword: SLEUTH

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Land Use Change Prediction of Cheongju using SLEUTH Model (SLEUTH 모델을 이용한 청주시 토지이용변화 예측)

  • Park, In-Hyeok;Ha, Sung-Ryong
    • Journal of Environmental Impact Assessment
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    • v.22 no.1
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    • pp.109-116
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    • 2013
  • By IPCC climate change scenario, the socioeconomic actions such as the land use change are closely associated with the climate change as an up zoning action of urban development to increase green gas emission to atmosphere. Prediction of the land use change with rational quality can provide better data for understanding of the climate change in future. This study aims to predict land use change of Cheongju in future and SLEUTH model is used to anticipate with the status quo condition, in which the pattern of land use change in future follows the chronical tendency of land use change during last 25 years. From 40 years prediction since 2000 year, the area urbanized compared with 2000 year increases up to 87.8% in 2040 year. The ratios of the area urbanized from agricultural area and natural area in 2040 are decreased to 53.1% and 15.3%, respectively.

Comparative Analysis of Land Use Change Model at Gapcheon Watershed (갑천 유역을 대상으로 토지이용예측모델 비교 분석)

  • Kwon, PilJu;Ryu, Jichul;Lee, Dong Jun;Han, Jeongho;Sung, Yunsoo;Lim, Kyoung Jae;Kim, Ki-Sung
    • Journal of Korean Society on Water Environment
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    • v.32 no.6
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    • pp.552-561
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    • 2016
  • For the prediction of hydrologic phenomenon, predicting future land use change is a very important task. This study aimed to compare and analyze the two land use change models, CLUE-S and SLEUTH3-R. The analysis of two models were performed based on the MSR value such that the model with more reliable MSR value can be recommended as an appropriate land use change prediction model. The model performance was examined by applying to the Gapcheon A watershed. Land use map of the study area of 2007 obtained from the Ministry of Environment was compared with the predicted land use map obtained from each of the two models. The result from both models showed somewhat similar results. The MSR value obtained from CLUE-S was 0.564, while that from SLEUTH3-R was 0.586. However, when land use map of 2010 was compared with predicted land use map obtained from the two models in same manner, the MSR value obtained from CLUE-S' was 0.500 while that from SLEUTH3-R was decreased to 0.397, an approximately 32.3% decrease from previous value of 2007. Moreover, SLEUTH3-R showed more sensitivity in conversion of urban areas, as compared to other land use types. Therefore, for the prediction of future land use change, CLUE-S model is more reliable than SLEUTH3-R.

Analysis of Climate Variability under Various Scenarios for Future Urban Growth in Seoul Metropolitan Area (SMA), Korea (미래 도시성장 시나리오에 따른 수도권 기후변화 예측 변동성 분석)

  • Kim, Hyun-Su;Jeong, Ju-Hee;Kim, Yoo-Keun
    • Journal of Korean Society for Atmospheric Environment
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    • v.28 no.3
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    • pp.261-272
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    • 2012
  • In this study, climate variability was predicted by the Weather Research and Forecasting (WRF) model under two different scenarios (current trends scenario; SC1 and managed scenario; SC2) for future urban growth over the Seoul metropolitan area (SMA). We used the urban growth model, SLEUTH (Slope, Land-use, Excluded, Urban, Transportation, Hill-Shade) to predict the future urban growth in SMA. As a result, the difference of urban ratio between two scenarios was the maximum up to 2.2% during 50 years (2000~2050). Also, the results of SLEUTH like this were adjusted in the Weather Research and Forecasting (WRF) model to analysis the difference of the future climate for the future urbanization effect. By scenarios of urban growth, we knew that the significant differences of surface temperature with a maximum of about 4 K and PBL height with a maximum of about 200 m appeared locally in newly urbanized area. However, wind speeds are not sensitive for the future urban growth in SMA. These results show that we need to consider the future land-use changes or future urban extension in the study for the prediction of future climate changes.

Simulating the Impacts of the Greenbelt Policy Reform on Sustainable Urban Growth: The Case of Busan Metropolitan Area

  • Kim, Jinsoo;Park, Soyoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.3
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    • pp.193-202
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    • 2015
  • The greenbelt of South Korea has been under the process of adjustment and removal since its first designated year. This research is aimed at predicting the effect that the removal of the greenbelt has on urban growth. The SLEUTH model was executed via three calibration phases using historical data between 1990 and 2010. The urban growth of Busan Metropolitan City was predicted under its historical trend, as well as two different scenarios including development and compact development up to the year 2030. The accuracy of model, as verified by ROC, was 85.7%. The historical trend scenario showed the smallest increase, with the urban area expanding from 175.96 km2 to 214.68 km2 in 2030. Scenario 2, the development scenario, showed the most increase, with a 39.9% growth rate from 2010 to 2030. However, according to scenario 3, the compact development scenario, the urban area decreased in comparison to scenario 2. Accordingly, it is necessary to have effective urban growth management to provoke eco-friendly development on the removed areas, and to strengthen the non-removed areas for sustainable development. The results obtained in this study showed that the SLEUTH model can be useful for predicting urban growth, and that it can help policy makers establish proper urban planning as a decision-support tool for sustainable development.

Estimation of Air Temperature Changes due to Future Urban Growth in the Seoul Metropolitan Area (수도권지역 미래 도시성장에 따른 기온변화 추정)

  • Kim, Yoo-Keun;Kim, Hyun-Su;Jeong, Ju-Hee;Song, Sang-Keun
    • Journal of Environmental Science International
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    • v.19 no.2
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    • pp.237-245
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    • 2010
  • The relationship between air temperatures and the fraction of urban areas (FUA) and their linear regression equation were estimated using land-use data provided by the water management information system (WAMIS) and air temperatures by the Korea Meteorology Administration (KMA) in the Seoul metropolitan area (SMA) during 1975 through 2000. The future FUA in the SMA (from 2000 to 2030) was also predicted by the urban growth model (i.e., SLEUTH) in conjunction with several dataset (e.g., urban, roads, etc.) in the WAMIS. The estimated future FUA was then used as input data for the linear regression equation to estimate an annual mean minimum air temperature in the future (e.g., 2025 and 2030). The FUA in the SMA in 2000 simulated by the SLEUTH showed good agreement with the observations (a high accuracy (73%) between them). The urban growth in the SMA was predicted to increase by 16% of the total areas in 2025 and by 24% in 2030. From the linear regression equation, the annual mean minimum air temperature in the SMA increased about $0.02^{\circ}C$/yr and it was expected to increase up to $8.3^{\circ}C$ in 2025 and $8.7^{\circ}C$ in 2030.

Prediction of Future Climate Change Using an Urban Growth Model in the Seoul Metropolitan Area (도시성장모델을 적용한 수도권 미래 기후변화 예측)

  • Kim, Hyun-Su;Jeong, Ju-Hee;Oh, In-Bo;Kim, Yoo-Keun
    • Journal of Korean Society for Atmospheric Environment
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    • v.26 no.4
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    • pp.367-379
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    • 2010
  • Future climate changes over the Seoul metropolitan area (SMA) were predicted by the Weather Research and Forecasting (WRF) model using future land-use data from the urban growth model (SLEUTH) and forecast fields from ECHAM5/MPI-OM1 GCM (IPCC scenario A1B). Simulations from the SLEUTH model with GIS information (slope, urban, hill-shade, etc.) derived from the water management information system (WAMIS) and the intelligent transportation systems-standard nodes link (ITS-SNL) showed that considerable increase by 17.1% in the fraction of urban areas (FUA) was found within the SMA in 2020. To identify the effects of the urban growth on the temperature and wind variations in the future, WRF simulations by considering urban growth were performed for two seasons (summer and winter) in 2020s (2018~2022) and they were compared with those in the present (2003~2007). Comparisons of model results showed that significant changes in surface temperature (2-meter) were found in an area with high urban growth. On average in model domain, positive increases of $0.31^{\circ}C$ and $0.10^{\circ}C$ were predicted during summer and winter, respectively. These were higher than contributions forced by climate changes. The changes in surface temperature, however, were very small expect for some areas. This results suggested that surface temperature in metropolitan areas like the SMA can be significantly increased only by the urban growth during several decades.

포렌식 관점에서 차세대 파일시스템 연구 동향

  • Hwang, Hyunuk;Oh, Junghoon;Lee, Seungyong;Kim, Kibom;Sohn, Kiwook
    • Review of KIISC
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    • v.29 no.6
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    • pp.13-22
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    • 2019
  • 기존의 NTFS, HFS+, Ext4와 같은 전통적인 파일시스템들은 디스크 사용, 공간 관리, 데이터 암호화 등 여러 측면에서 한계점을 가지고 있었다. 특히 디스크 사용 측면에서 기본적으로 단일 디스크 안에서 동작하도록 설계되었기 때문에 여러 개의 디스크에서 동작하도록 하려면 RAID와 같은 별도의 구성이 필요했다. 이에 따라 주요 운영체제들은 위와 같은 기존 파일시스템들의 한계점들을 극복하도록 설계된 Pooled Storage 파일시스템들을 공개하였다. Pooled Storage 파일시스템에 관한 연구는 2017년 여름 미국 오스틴에서 열린 DFRWS 학회에서 독일의 Jan-Niclas Hilgert에 의해 발표된 이후 디지털 포렌식 학계 및 산업계에서 집중적인 연구개발이 진행되고 있다. 2017년 Hilgert는 ZFS 파일시스템에 대한 분석기능을 공개소프트웨어인 SleuthKit에 추가한 기술을 발표하였고, 2018년 DFRWS에서는 BtrFS 파일시스템에 대한 분석기능을 공개하였다. BlackBag Technologies의 Joe Syle은 APFS 파일시스템에 대한 분석기능을 SleuthKit에 추가한 결과를 DFRWS 2018에서 발표하였다. 노르웨이의 Rune Nordvik은 2019년 DFRWS에서 REFS를 역공학을 통하여 분석한 결과를 공개하였다. 국내에서는 고려대학교를 중심으로 ReFS에 대한 연구가 진행 중이다. 본 논문에서는 주요 운영체제들이 공개한 Pooled Storage 파일시스템 형태의 차세대 파일시스템인 ReFS, APFS, BtrFS를 소개하고 각 파일시스템의 특징과 주요 기능들을 설명한다.

Potential Effects of Urban Growth under Urban Containment Policy on Streamflow in the Gyungan River Watershed, Korea

  • Kim, Jinsoo;Park, Soyoung
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.33 no.3
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    • pp.163-172
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    • 2015
  • This study examined the potential effects of urban growth on streamflow in the Gyungan River watershed, Korea, using urban containment scenarios. First, two scenarios (conservation and development) were established, and SLEUTH model was adapted to predict urban growth into the year 2060 with 20 years interval under two scenarios in the study area. Urban growth was larger under scenario 2, focusing on development, than under scenario 1, focusing on conservation. Most urban growth was predicted to involve the conversion of farmland, forest, and grasslands to urban areas. Streamflow in future periods under these scenarios was simulated by the Soil and Water Assessment Tool (SWAT) model. Each scenario showed distinct seasonal variations in streamflow. Although urban growth had a small effect on streamflow, urban growth may heighten the problems of increased seasonal variability in streamflow caused by other factor, such as climate change. This results obtained in this study provide further insight into the availability of future water resource and can aid in urban containment planning to mitigate the negative effects of urban growth in the study area.

Research on Efficient Game Production Methods using Digimon Series IP

  • Lee Jong Ho
    • International Journal of Advanced Culture Technology
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    • v.11 no.4
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    • pp.423-428
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    • 2023
  • Currently , the growth of various platforms is remarkable , both at home and abroad . With the growth of various platforms such as PC, console, and VR as well as mobile, the global gaming industry market size has grown to reach KRW 151 trillion . However , in order to revitalize the domestic game market , which is growing at a slower pace, improve the concentration phenomenon that is concentrated on mobile and PC platforms , and select one of the games using IP that is being discussed as a new breakthrough , and determine what form the game will take. Through this study, we would like to suggest whether multi-platform is appropriate. The Digimon series generally attracts many fans through animation , and the Digimon story Cyber Sleuth, which utilizes new scenarios to satisfy them and arouse interest at the same time , can be seen as a representative success example We believe that through this interaction, users can continue to play the main content on their PC, and create synergy by being able to play and enjoy minimal content through mobile anytime , anywhere while doing other things.