• Spatial Information Research
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• 제14권2호
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• pp.223-234
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• 2006

연안수질의 시공간적 분포특성을 살펴보기 위하여 1997년부터 2004년 사이에 우리나라 연안해역에서 측정된 수질자료(chlorophyll-a, pH, DO, COD, SS, dissolved inorganic nitrogen, dissolved inorganic phosphorous, salinity, temperature)에 대해 GIS 공간분석 기법을 적용하였다. 본 연구에서 사용된 수질자료는 공간상 모든 위치에 그 값이 존재하나, 실제 간의 수집은 고정관측 위치에서만 수행된다. 따라서 공간적으로 연속적으로 존재하는 연안수질의 분포 특성을 파악하기 위해서는 미관측 지점의 값을 예측할 필요가 있다. 본 논문에서는 공간분석 기법인 IDW를 연안수질 측정자료에 적용하였으며, IDW 기법의 적용 가능성을 평가하였다. 또한 IDW 공간보간을 적용한 후, 전국 연안을 46개 구간으로 구분하여 각 구간의 수질특성을 GIS 시각화 기법을 이용하여 분석하였다. 적용결과 공간보간 및 GIS 기법이 다년간 광범위한 범위에서 수집된 수질 자료로부터 시공간적 분포 특성을 파악하는데 유용함을 확인할 수 있었다.

• 한국수처리학회지
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• 제26권6호
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• pp.89-97
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• 2018

The purpose of this reaserch is to analyze the charateristics of water quality in space through the operation of ARA River in Artificial Rivers of the Brackish Water Zone. The spatial distribution measured water temperature and salt levels for the surface, middle and deep layers by dividing the four areas of Incheon, Sicheon, Gyeyang and Gimpo. Water temperature did not vary much by water depth and branch, and its purpose is to maintain stable water environment through correlation analysis and operation. To examine the temporal and spatial distribution patterns of the Arachon, we measured DO on the Incheon branch, Sicheon, Gyeyang and Gimpo branch twice a month, and on the surface, the temperature level, The water temperature did not vary much by depth and location, and the water temperature in January and March tended to rise from Incheon to Gimpo, with the average difference of 1.1 degrees during the same period. The salinity difference between Incheon and Gimpo sites was 3.3 psu deep and 5.4 psu deep. In particular, floodgates from July to September are found to be less than 10psu overall, which is considered to be a gas due to the effects of floods and the inflow of Gulpo Stream. D.O. is located in some areas due to summer rains. The hypoxic layer has been identified.Analysis of seasonal data shows that water temperature and DO are strongly correlated in autumn. It was found that the water temperature and salt levels in the fall showed a weak correlation.

• 대한원격탐사학회지
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• 제39권5_3호
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• pp.933-948
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• 2023

대기 중 에어로졸은 인체에 악영향을 끼칠 뿐 아니라 기후 시스템에도 직간접적인 영향을 미치므로 에어로졸의 특성과 시공간적인 분포에 대한 이해는 매우 중요하다. 이를 위해 위성기반 관측을 통해 에어로졸 광학 두께(Aerosol Optical Depth, AOD)를 산출하여 에어로졸을 모니터링하는 다양한 연구가 수행되어 왔다. 하지만 이는 주로 조견표를 활용한 역 산출 알고리즘에 기반하여 이루어지기 때문에 많은 계산량을 요구하며 불확실성이 존재한다. 따라서, 본 연구에서는 Geostationary Ocean Color Imager-II (GOCI-II)의 대기상한반사도와 30일 동안의 대기상한반사도 중 최솟값과 관측 시점 값의 차이 값, 수치 모델 기반 기상학적 변수 등을 활용하여 기계학습 기반 고해상도 AOD 직접 산출 알고리즘을 개발하였다. Light Gradient Boosting Machine (LGBM) 기법이 사용되었으며, 추정된 결과는 지상 관측 자료인 Aerosol Robotic Network (AERONET) AOD를 활용하여 랜덤, 시간 및 공간별 N-fold 교차검증을 통해 검증되었다. 세 가지 교차검증 결과 R²=0.70-0.80, RMSE=0.08-0.09, 기대오차(Expected Error, EE) 안에 있는 비율은 75.2-85.1% 수준으로 안정적인 성능을 보였다. Shapley Additive exPlanations (SHAP) 분석에서는 반사도 관련 변수들이 기여도의 상위권 대부분을 차지하고 있는 것을 통해 반사도 자료가 AOD 추정에 많은 기여를 하는 것을 확인하였다. 서울과 울산 지역에 대한 시간 별 AOD의 공간 분포를 분석한 결과, 개발된 LGBM 모델은 시간의 흐름에 따라 AERONET AOD 값과 유사한 수준으로 AOD를 추정하고 있었다. 이를 통해 높은 시공간 해상도(i.e., 시간별, 250 m)에서의 AOD 산출이 가능함을 확인하였다. 또한, 산출 커버리지 비교에서 LGBM 모델의 평균 산출 빈도가 GOCI-II L2 AOD 산출물 대비 8.8%가량 증가한 것을 통해 기존 물리모델기반 AOD 산출 과정에서 발생하던 밝은 지표면에 대한 과도한 마스킹의 문제점을 개선시킨 것을 확인하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권6호
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• pp.2450-2469
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• 2018

In this paper, we develop a spatiotemporal model to analysis of cellular user in underlay D2D communication by using stochastic geometry and queuing theory. Firstly, by exploring stochastic geometry to model the user locations, we derive the probability that the SINR of cellular user in a predefined interval, which constrains the corresponding transmission rate of cellular user. Secondly, in contrast to the previous studies with full traffic models, we employ queueing theory to evaluate the performance parameters of dynamic traffic model and formulate the cellular user transmission mechanism as a M/G/1 queuing model. In the derivation, Embedded Markov chain is introduced to depict the stationary distribution of cellular user queue status. Thirdly, the expressions of performance metrics in terms of mean queue length, mean throughput, mean delay and mean dropping probability are obtained, respectively. Simulation results show the validity and rationality of the theoretical analysis under different channel conditions.

• Ocean and Polar Research
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• 제44권1호
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• pp.99-111
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• 2022

Together with the development of measurement techniques, radiocarbon (¹⁴C) has been increasingly used as a key tool to investigate carbon cycling and associated biogeochemistry in the ocean. In this paper, the current status of radiocarbon studies in the East Sea (Japan Sea) is reviewed. Previously, spatiotemporal distribution and change of the water masses in the East Sea from 1979 to 1999 were investigated by using the ¹⁴C in the dissolved inorganic carbon (DIC). Researches on sinking particulate organic carbon (POC) revealed that POC in the deep ocean has more complex and heterogeneous origins than we expected. In particular, since 2011, Korean researchers have been collecting sinking particle samples for more than 10 years, so it is expected that ¹⁴C of POC will provide important information to understand carbon cycling in relation to climate change. Although the quantity of ¹⁴C data published in the East Sea is still limited, the importance and the future direction of using ¹⁴C to understand the biogeochemical mechanisms of carbon cycling and its role as a carbon reservoir in the East Sea are detailed herein.

• 한국가시화정보학회지
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• 제20권2호
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• pp.70-77
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• 2022

Skeletal muscle tissues feature cellular heterogeneity, including differentiated myofibers, myoblasts, and satellite cells. Thanks to the presence of undifferentiated myoblasts and satellite cells, skeletal muscle tissues can self-regenerate after injury. In skeletal muscle regeneration, the collective motions among these cell types must play a significant role, but little is known about the dynamic collective behavior during the regeneration. In this study, we constructed in vitro platform to visualize the migration behavior of skeletal muscle cells in specific conditions that mimic the biochemical environment of injured skeletal muscles. We then visualized the spatiotemporal distribution of stresses arising from the differential collectiveness in the cellular clusters under different conditions. From these analyses, we identified that the heterogeneous population of muscle cells exhibited distinct collective migration patterns in the injury-mimicking condition, suggesting selective activation of a specific cell type by the biochemical cues from the injured skeletal muscles.

• 한국수산과학회지
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• 제48권6호
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• pp.960-968
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• 2015

This study examined the spatiotemporal distribution of demersal fish aggregations in the Northern East China Sea by conducting a trawl survey with hydroacoustic devices. A bottom trawl was used for this survey and fish density was determined from the catch data. Acoustic data were collected at frequencies of 38 and 200 kHz from November to December 2014 and converted into the nautical area scattering coefficient (NASC, $m^2/n{\cdot}mile^2$). In the catch data analysis, the range of catch per unit area by station was $26-8,055kg/km^2$ and for the acoustic data, that of the NASC was $0.45-34.80m^2/n{\cdot}mile^2$. The values were significantly correlated. The combined results of both surveys found that the density was highest at St. 5 ($33^{\circ}$ 10.3', $126^{\circ}$ 23.3') and lowest at St. 8 ($33^{\circ}$ 20.7', $127^{\circ}$ 36.3'). The application of hydroacoustic methods offers a new approach for estimating the biomass of demersal fish aggregations.

• 대한의용생체공학회:의공학회지
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• 제26권4호
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• pp.223-230
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• 2005

This paper presents a new approach to investigate spatial correlation between independent components of brain alpha activity in functional magnetic resonance imaging (fMRI) and electroencephalography (EEG). To avoid potential problems of simultaneous fMRI and EEG acquisitions in imaging pure alpha activity, data from each modality were acquired separately under a 'three conditions' setup where one of the conditions involved closing eyes and relaxing, thus making it conducive to generation of alpha activity. The other two conditions -- eyes open in a lighted room or engaged in a mental arithmetic task, were designed to attenuate alpha activity. Using a Mixture Density Independent Component Analysis (MD-ICA) that incorporates flexible non-linearity functions into the conventional ICA framework, we could identify the spatiotemporal components of fMRI activations and EEG activities associated with the alpha rhythm. Then, the sources of the individual EEG alpha activity component were localized by a Maximum Entropy (ME) method that is specially designed to find the most probable dipole distribution minimizing the localization error in sense of LMSE. The resulting active dipoles were spatially transformed to 3D MRls of the subject and compared to fMRI alpha activity maps. A good spatial correlation was found in the spatial distribution of alpha sources derived independently from fMRI and EEG, suggesting the proposed method can localize the cortical areas responsible for generating alpha activity successfully in either fMRI or EEG. Finally a functional connectivity analysis was applied to show that alpha activity sources of both modalities were also functionally connected to each other, implying that they are involved in performing a common function: 'the generation of alpha rhythms'.

• 한국수자원학회논문집
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• 제35권4호
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• pp.411-423
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• 2002

유출에 대한 신속하고 정확한 예측은 수문 및 수자원 분야에 있어서 궁극적인 목표 중의 하나이며, 우리나라와 같이 강우에 대한 유출의 응답이 짧은 시간에 발생하는 경우에 무엇보다도 중요하다. 따라서, 토지이용변화 등에 의한 유출의 변화 및 감시를 포함하는 유역내의 수문 변수의 변화를 적절하게 고려할 수 있는 분포형 자료를 선호하게 된다. 이때 분포형 모형을 적용시키기 위해서는 강우의 공간특성을 알아야 하며, 각 격자별 강우량이 입력자료로 활용되어 각 격자별 유출특성을 파악하게 된다. Landsat TM 자료를 이용할 경우 분포형 모형을 위한 유역 내에 관련된 인자 및 식생, 토지피복 등의 자세한 정보를 제공할 수 있다. 본 연구에서는 SCS의 유출곡선번호(CN)에 의한 방법을 이용하여 유효우량도를 작성하여 신속하게 유출의 감시가 가능하도록 하는 기법에 대하여 검토하였다. 호우시에 있어서 유효우량에 대한 시계열 자료는 본 기법을 통하여 분포형태로서 계산i과 수 있으며, 이 결과는 분포형 유출모형을 이용하여 유역 출구에서의 수문곡선을 산정할 수 있다.

• 한국농공학회논문집
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• 제62권6호
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• pp.21-31
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• 2020

This study analyzed the spatio-temporal change pattern of greenhouse areas for Sangnam-myeon and Samrangjin-eup of Miryang-si in Gyeongnam, which is one of major greenhouse area. First, in order to overcome the lack of statistical data of the distribution of greenhouses, aerial and satellite images were interpreted from 1987 to 2018, and the spatial distribution of the greenhouse parcels which has continuously increased was mapped based on the digital cadastral map. Next, through the emerging hot spot tool in ArcGIS Desktop, the spatio-temporal change in transition from open-field to greenhouse cultivation was classified into 9 clusters. About 67.7% of the target area was categorized as a hot spot, and the pattern of New hot spot, which were recently converted to greenhouse parcels, covered about 34.1%. While, about 11.3% of parcels were expected to keep the existing open-field cultivation practice for a while. Overall, the greenhouse parcels have been densely developed along a river and were lately expanding even to the far neighbor. It implied that, in the future, the competition of water intake among farms would be more serious and the environmental responsibility in consideration of water quality as well as quantity would be getting strengthened due to increasing pollution loads and river intake.