• Title/Summary/Keyword: 스케일 지수

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Downscaling of Thematic Maps Based on Remote Sensing Data using Multi-scale Geostatistics (다중 스케일 지구통계학을 이용한 원격탐사 자료 기반 주제도의 다운스케일링)

  • Park, No-Wook
    • Korean Journal of Remote Sensing
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    • v.26 no.1
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    • pp.29-38
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    • 2010
  • It is necessary to develop an integration model which can account for various data acquired at different measurement scales in environmental thematic mapping with high-resolution ground survey data and relatively low-resolution remote sensing data. This paper presents and applies a multi-scale geostatistical methodology for downscaling of thematic maps generated from lowresolution remote sensing data. This methodology extends a traditional ordinary kriging system to a block kriging system which can account for both ground data and remote sensing data which can be regarded as point and block data, respectively. In addition, stochastic simulation based on block kriging is also applied to describe spatial uncertainty attached to the downscaling. Two downscaling experiments including SRTM DEM and MODIS Leaf Area Index (LAI) products were carried out to illustrate the applicability of the geostatistical methodology. Through the experiments, multi-scale geostatistics based on block kriging successfully generated relatively high-resolution thematic maps with reliable accuracy. Especially, it is expected that multiple realizations generated from simulation would be effectively used as input data for investigating the effects of uncertain input data on GIS model outputs.

A Study on Spatial Downscaling of Satellite-based Soil Moisture Data (토양수분 위성자료의 공간상세화에 관한 연구)

  • Shin, Dae Yun;Lee, Yang Won;Park, Mun Sung
    • Proceedings of the Korea Water Resources Association Conference
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    • 2017.05a
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    • pp.414-414
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    • 2017
  • 토양수분은 지면환경에서 일어나는 수문 및 에너지 순환을 이해하는 데 있어 중요한 기상인자이다. 토양수분 현장관측은 땅속에 매설된 센서에 의해 상당히 정확하게 이루어지만, 관측점 수가 충분치 않아 공간적 연속성을 확보하지 못하는 어려움이 존재한다. 이에 광역적 및 연속적 관측이 가능한 마이크로파 위성센서가 토양수분 정보 획득을 위한 보조수단으로서 그 중요성이 부각되고 있다. 마이크로파 위성센서는 구름 등 기상조건의 제약을 받지 않으며, 1978년 이래 현재까지 여러 위성에 의해 25 km 및 10 km 해상도의 전지구 토양수분자료가 생산되어 왔다. 마이크로파 센서를 이용한 토양수분자료는 동일지점에 대하여 하루 2회 정도 산출되므로 적절한 시간분해능을 가지지만, 공간해상도가 최고 10 km로서 지역규모의 수문분석에 적용하기에는 충분치 않다. 이러한 토양수분자료의 공간해상도 문제 해결을 위하여 다양한 지면환경요소를 활용한 통계적 다운스케일링이 대안으로 제시되었다. 최근의 선행연구들은 대부분 방정식을 이용한 결합모형을 통해 통계적 다운스케일링을 수행하였는데, 회귀식과 같은 선형결합뿐 아니라 신경망이나 기계학습 등의 비선형결합에서도, 불가피하게 발생할 수밖에 없는 잔차(residual)로 인하여 다운스케일링 전후의 공간분포 패턴이 달라져버리는 문제를 안고 있었다. 회귀분석에 잔차의 공간내삽을 결합시킨 회귀크리깅(regression kriging)은 잔차보정을 통해 이러한 문제를 해결함으로써 다운스케일링 전후의 공간분포 일관성을 보장하는 기법이다. 이 연구에서는 회귀크리깅을 이용하여 일자별 AMSR2(Advanced Microwave Scanning Radiometer 2) 토양수분 자료를 10 km에서 1 km 해상도로 다운스케일링하고, 다운스케일링 전후의 자료패턴 일관성을 평가한다. 지면온도(LST), 지면온도상승률(RR), 식생온도건조지수(TVDI)는 일자별로 DB를 구축하였고, 식생지수(NDVI), 수분지수(NDWI), 지면알베도(SA)는 8일 간격으로 DB를 구축하였다. 이러한 8일 간격의 자료를 일자별로 변환하기 위하여 큐빅스플라인(cubic spline)을 이용하여 시계열내삽을 수행하였다. 또한 상이한 공간해상도의 자료는 최근린법을 이용하여 다운스케일링 목표해상도인 1 km에 맞도록 변환하였다. 우선 저해상도 스케일에서 추정치를 산출하기 위해서는 저해상도 픽셀별로 이에 해당하는 복수의 고해상도 픽셀을 평균화하여 대응시켜야 하며, 이를 통해 6개의 설명변수(LST, RR, TVDI, NDVI, NDWI, SA)와 AMSR2 토양수분을 반응변수로 하는 다중회귀식을 도출하였다. 이식을 고해상도 스케일의 설명변수들에 적용하면 고해상도 토양수분 추정치가 산출되는데, 이때 추정치와 원자료의 차이에 해당하는 잔차에 대한 보정이 필요하다. 저해상도 스케일로 존재하는 잔차를 크리깅 공간내삽을 통해 고해상도로 변환한 후 이를 고해상도 추정치에 부가해주는 방식으로 잔차보정이 이루어짐으로써, 다운스케일링 전후의 자료패턴 일관성이 유지되는(r>0.95) 공간상세화된 토양수분 자료를 생산할 수 있다.

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A Study on identification and improvement of adhesive quality using adhesive theory at micro/nano scale contact (응착이론을 이용한 마이크로/나노스케일 접촉에서의 응착특성 규명 및 개선에 관한 연구)

  • Kim, Gyu-Sung;Yoon, Jun-Ho
    • 전자공학회논문지 IE
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    • v.44 no.3
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    • pp.42-50
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    • 2007
  • In this paper, elastic and plastic adhesion index was very important in deciding adhesive characteristics and varying elastic and plastic index, dimensionless load and pull-off force were analyzed and simulated. Finally, using AFM, experimental surface roughness parameters of substrates and pull-off force between tip and substrates were produced. Using these values, pull-off forces were calculated and were compared with experimental pull-off forces. Through simulation and experiment, it was found that interaction of asperity also had very important influence on adhesive contact.

A Schedulability Analysis Method for Real-Time Program (실시간 프로그램의 스케줄가능성 분석 방법)

  • Park, Heung-Bok;Yu, Won-Hui
    • The Transactions of the Korea Information Processing Society
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    • v.2 no.1
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    • pp.119-129
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    • 1995
  • In this paper, we propose a schedulatility analysis method for real-time programs. Several approaches to anlayzing schedulability have been developed, but since these approaches use a fixed priority scheduling method and/or traverse all possible state spaces, there take place exponential time and space complexity of these methods, Therefore it is necessary to reduce the state space and detect schedulability at earlier time. Our schedulability analysis method uses a minimum unit time taken to terminate synchronization action, a minimum unit time taken to terminate actions after synchronization, and a deadline of processes to detect unschedulability at earlier time and dynamic scheduling scheme to reduce state space. We conclude that our method can detected unschedulability earlier 50 percent unit time than Fredette's method.

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Analysis of Continental Scale Spatio-Temporal Drought Propagation Using GPM Precipitation (위성강수 자료를 이용한 컨티넨탈 스케일 시공간적 가뭄 전이 분석)

  • Lee, Seung-Yeon;Park, Seo-Yeon;Kim, Jong-suk;Lee, Joo-Heon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.308-308
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    • 2022
  • 가뭄은 지구 대기 형성만큼이나 오래된 현상으로 생태계, 수문학, 농업 및 경제에 중대한 영향을 주며 세계 어디에서나 발생할 수 있는 자연재해 중 하나이다. 가뭄에 의한 사회·경제적 피해를 줄이고 가뭄 위험을 관리하기 위해서는 가뭄의 시공간적 특성을 이해하는 것이 중요하다. 하지만, 기존의 가뭄 감시는 가뭄 지표를 계산하여 산정된 결과 값을 바탕으로 해당 지역의 가뭄 유무의 정보를 제공하는 1차원적 방법으로 가뭄 감시 및 관리를 위해서는 시·공간적 정보제공이 필요하다. 본 연구에서는 시·공간적 가뭄 전이 분석을 위해 GPM(Global Precipitation Measurement) 자료를 활용하여 2000년부터 2020년까지 표준강수지수(Standardized Precipitation Index, SPI)를 산정하였으며, 산정된 SPI를 Spatial drought tracking (S-TRACK) 방법을 적용하여 가뭄의 대륙규모(continetal scale) 시공간적 변화와 전이현상을 살펴보고자 하였다. 본 연구를 결과를 바탕으로 가뭄의 시·공간적 변화에 대한 이해 및 광역규모에서의 가뭄현상의 이동과정을 알아볼 수 있으며, 더 나아가 본 연구의 성과는 기존의 국지적 가뭄 감시 및 예측 방법에 적용하여 가뭄에 대한 효율적인 대응방안을 마련하는 기초자료로 활용될 수 있을 것으로 기대된다.

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Attention-based deep learning framework for skin lesion segmentation (피부 병변 분할을 위한 어텐션 기반 딥러닝 프레임워크)

  • Afnan Ghafoor;Bumshik Lee
    • Smart Media Journal
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    • v.13 no.3
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    • pp.53-61
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    • 2024
  • This paper presents a novel M-shaped encoder-decoder architecture for skin lesion segmentation, achieving better performance than existing approaches. The proposed architecture utilizes the left and right legs to enable multi-scale feature extraction and is further enhanced by integrating an attention module within the skip connection. The image is partitioned into four distinct patches, facilitating enhanced processing within the encoder-decoder framework. A pivotal aspect of the proposed method is to focus more on critical image features through an attention mechanism, leading to refined segmentation. Experimental results highlight the effectiveness of the proposed approach, demonstrating superior accuracy, precision, and Jaccard Index compared to existing methods

A Study of the Interior Image based on the Color Analysis in School Libraries (색채 분석을 통한 학교도서관 실내 이미지 연구)

  • Soomin Ji;Bong-Suk Kang
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.35 no.1
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    • pp.27-45
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    • 2024
  • The purpose of this study is to analyze the colors in the school libraries and identify the images of adjectives derived from the colors. This study investigated the hue (basic color), value (brightness) and chroma (color intensity) in the school libraries through KSCA program. It analyzed 15 school libraries from elementary schools to high schools. Furthermore, with the aids of I.R.I Adjective Image Scale, the adjective images of the colors could be identified. The results are as follows: In the elementary school libraries, the hue was used in the order of YR (yellow red), N (neutral), and Y (yellow), while in the order of YR (yellow red), N (neutral), and R (red) in the middle school libraries. All the school libraries had medium brightness on average, whereas the colors had a low chroma. As for the adjective images of the colors, the adjective 'gentle' has appeared the most in every school library. The school libraries have similar colors and adjective images for all levels, not presenting any particular differences in the colors of every interior space arrangement.

Impact Assessment of Sea_Level Rise based on Coastal Vulnerability Index (연안 취약성 지수를 활용한 해수면 상승 영향평가 방안 연구)

  • Lee, Haemi;Kang, Tae soon;Cho, Kwangwoo
    • Journal of Korean Society of Coastal and Ocean Engineers
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    • v.27 no.5
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    • pp.304-314
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    • 2015
  • We have reviewed the current status of coastal vulnerability index(CVI) to be guided into an appropriate CVI development for Korean coast and applied a methodology into the east coast of Korea to quantify coastal vulnerability by future sea_level rise. The CVIs reviewed includes USGS CVI, sea_level rise CVI, compound CVI, and multi scale CVI. The USGS CVI, expressed into the external forcing of sea_level rise, wave and tide, and adaptive capacity of morphology, erosion and slope, is adopted here for CVI quantification. The range of CVI is 1.826~22.361 with a mean of 7.085 for present condition and increases into 2.887~30.619 with a mean of 12.361 for the year of 2100(1 m sea_level rise). The index "VERY HIGH" is currently 8.57% of the coast and occupies 35.56% in 2100. The pattern of CVI change by sea_level rise is different to different local areas, and Gangneung, Yangyang and Goseong show the highest increase. The land use pattern in the "VERY HIGH" index is dominated by both human system of housing complex, road, cropland, etc, and natural system of sand, wetland, forestry, etc., which suggests existing land utilization should be reframed in the era of climate change. Though CVI approach is highly efficient to deal with a large set of climate scenarios entailed in climate impact assessment due to uncertainties, we also propose three_level assessment for the application of CVI methodology in the site specific adaptation such as first screening assessment by CVI, second scoping assessment by impact model, and final risk quantification with the result of impact model.

Multi-scale Correlation Analysis between Sea Level Anomaly and Climate Index through Wavelet Approach (웨이블릿 접근을 통한 해수면 높이와 기후 지수간의 다중 스케일 상관 관계 분석)

  • Hwang, Do-Hyun;Jung, Hahn Chul
    • Korean Journal of Remote Sensing
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    • v.38 no.5_1
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    • pp.587-596
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    • 2022
  • Sea levels are rising as a result of climate change, and low-lying areas along the coast are at risk of flooding. Therefore, we tried to investigate the relationship between sea level change and climate indices using satellite altimeter data (Topex/Poseidon, Jason-1/2/3) and southern oscillation index (SOI) and the Pacific decadal oscillation (PDO) data. If time domain data were converted to frequency domain, the original data can be analyzed in terms of the periodic components. Fourier transform and Wavelet transform are representative periodic analysis methods. Fourier transform can provide only the periodic signals, whereas wavelet transform can obtain both the periodic signals and their corresponding time location. The cross-wavelet transformation and the wavelet coherence are ideal for analyzing the common periods, correlation and phase difference for two time domain datasets. Our cross-wavelet transform analysis shows that two climate indices (SOI, PDO) and sea level height was a significant in 1-year period. PDO and sea level height were anti-phase. Also, our wavelet coherence analysis reveals when sea level height and climate indices were correlated in short (less than one year) and long periods, which did not appear in the cross wavelet transform. The two wavelet analyses provide the frequency domains of two different time domain datasets but also characterize the periodic components and relative phase difference. Therefore, our research results demonstrates that the wavelet analyses are useful to analyze the periodic component of climatic data and monitor the various oceanic phenomena that are difficult to find in time series analysis.

Priority Determination of the Projects for Ecological Restoration of the Stream : Case Study for Han River Estuary (생태하천 복원사업 우선순위 선정에 대한 연구: 한강하구를 중심으로)

  • Seonuk Baek;Junhak Lee;Seungmin Lee;Haneul Lee;Hung Soo Kim;Soojun Kim
    • Journal of Wetlands Research
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    • v.25 no.1
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    • pp.64-73
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    • 2023
  • Before 2022, there was a lot of confusion in the process of planning and implementing the projects for ecological restoration of the stream due to dualization the principal agent of stream management. Because the Ministry of Environment took charge of the project in 2022, securing the health of aquatic ecosystem of stream became an essential factor in the project. Therefore, in this study, the streams that require the project for ecological restoration was selected in Han River estuary, where it is essential to secure the health of the stream aquatic ecosystem as blackish water zone and Ramsar wetland are located. Physical, chemical, spatial/humanistic, health of aquatic ecosystems evaluation indexes were calculated based on the detailed facts and figures of the project for ecological restoration of the stream in the beginning. Ranking, re-scaling, z-score, and t-score normalization methods were applied to the calculated evaluation index, and the values were compared and analyzed. After that, the entropy weight method was applied to each evaluation index. Through this process, the streams(Mokgamcheon, Anyangcheon etc.) that require the project for ecological restoration were selected for the purpose of securing the health of the aquatic ecosystem in Han River estuary. The result of this study can be used as basic research data in the process of selecting the priority determination of the projects for ecological restoration of the stream.