• 제목/요약/키워드: Spatiotemporal characteristics

검색결과 122건 처리시간 0.027초

시공 분할방식을 이용한 다시점 삼차원 디스플레이 시스템의 설계 (Designing a kmultiview 3D display system based on a spatiotemporal multiplexing)

  • 손정영;김재순;전호인
    • 한국광학회지
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    • 제9권6호
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    • pp.368-372
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    • 1998
  • 2개의 시분할 8시점 영상 채널을 공간적으로 시역을 결합시킴에 의해 16시점 3차원 영상 시스템을 설계했다. 각각의 8시점 채널을 빛의 3원색(빨강, 초록 그리고 파랑)에 대응하는 빛을 발산하는 3개의 CRT들을 한 개의 채널로 결합해주는 이색 빔 분할기(dichroic beam splitter)로 이루어져 있고 각각의 CRT는 8시점의 영상을 시간분할 방식에 의해 표시하며, 각 채널별 영상은 투사광학계를 통과하여 1$\times$0.8$m^2$ 크기의 홀로그래픽 스크린에 투영된다. 이 시스템을 위한 최적 투사광학계를 설계하기 위해 시스템에 적용 가능한 3개의 서로 다른 투사광학계에 대해 그 특성을 광학 설계 프로그램인“ DEMOS ”를 사용하여 시험했다. 설계 시스템의 최적 투사광학계는 각 채널별 영상을 양면 반사경(two-folded mirror)에 의해 결합하여 16개의 띠형 액정 셔터로 구성된 한 개의 LCD 셔터를 통해 투사용 대물렌즈로 입사시키는 구조를 가지는 것이 최적임을 보였다. 단 이 구조에서 셔터는 투사용 대물렌즈의 입력개구(entrance pupil)에 위치해야하며, 양면 반사경의 접혀진 선은 이 셔터의 중심과 맞닿아 대칭이 되도록 위치해야 한다.

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태평양 연어류(Oncorhynchus spp.)의 장기 풍도 변화 및 개체 크기 변화 (Long-term Variation in the Relative Abundance and Body Size of Pacific Salmon Oncorhynchus species)

  • 서현주;강수경
    • 한국수산과학회지
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    • 제44권6호
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    • pp.717-731
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    • 2011
  • To clarify relationships between the abundance and biological characteristics of Pacific salmon Oncorhynchus spp., we analyzed spatiotemporal changes in fork length, body weight, and an index of relative abundance (catch per unit effort, CPUE) for pink salmon (O. gorbuscha), chum salmon (O. keta), and sockeye salmon (O. nerka) collected by research gill-nets from the T/V Oshoro-maru and the T/V Hokusei-maru of Hokkaido University in the North Pacific during 1953-2007. Populations of each species were distributed throughout the western Bering Sea, eastern Bering Sea (EB), western North Pacific (WNP), central North Pacific (CNP), eastern North Pacific (ENP), and Okhotsk Sea. Since 1970, the average body size of chum salmon at ocean ages 0.3-0.4 has generally declined in the WNP and CNP. However, the average body sizes of sockeye and pink salmon have not shown temporal changes. Chum salmon showed significant negative (positive) correlations between CPUE and body size for populations in CNP (ENP) at ocean ages 0.2-0.3 (age 0.1) for both sexes. In general, sockeye salmon also showed significant negative (positive) correlations between CPUE and body size for populations in the EB at ocean ages X.2-X.3 (age X.1) for both sexes, except in CNP at age 2. Our results suggest that better growth by chum and sockeye salmon in the early periods of their ocean life histories might produce higher abundance. This higher abundance, which might also be affected by overlapping distributions among Pacific salmon species and populations in certain seas, in turn appears to cause density-dependent declines in growth in the following ocean life history period due to the limited carrying capacity of the seas. To understand complex dynamics in Pacific salmon species in the North Pacific Ocean, research on interactions among species and populations is needed.

후쿠시마 사고로 해양으로 누출된 137Cs에 의한 인체 위해도 평가 (Health Risk Assessment due to 137Cs Released into Ocean from the Severe Accident of the Fukushima Dai-ichi Nuclear Power Plants)

  • 민병일;이백근;서경석;박기현
    • 방사선산업학회지
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    • 제8권2호
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    • pp.123-132
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    • 2014
  • After the nuclear accident of the Fukushima Dai-ichi Nuclear Power Plants (FDNPPs) on 11 March 2011, a large amount of radioactive materials has been released into the atmosphere and the ocean. A compartment model is used to evaluate the circulation characteristics and the spatiotemporal concentration distributions of radionuclides in the ocean. In the comparison with observed concentrations of $^{137}Cs$ in seawater, calculated concentrations by the compartment model were well agreed with them. On the basis of these results, we performed evaluation of the effective dose and the cancer risk. In the early stage of the accident, the effective doses from ingestion of the seafood near the Fukushima region were much higher than 1 mSv which is the value of the annual effective dose limit to individual recommended by the International Commission on Radiological Protection (ICRP). However, the effective doses by ingestion of the seafood decreased below 1 mSv as distance from the FDNPPs increased and time passed. In addition, it was estimated that the cancer risks by intake of the contaminated marine products were less than natural occurrence probability of cancer. Consequently, it was inferred that the health risk due to the $^{137}Cs$ was low after since mid-term period of the accident.

Rainfall-induced shallow landslide prediction considering the influence of 1D and 3D subsurface flows

  • Viet, Tran The;Lee, Giha;An, Hyunuk;Kim, Minseok
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2017년도 학술발표회
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    • pp.260-260
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    • 2017
  • This study aims to compare the performance of TRIGRS (Transient Rainfall Infiltration and Grid-based Regional Slope-stability model) and TiVaSS (Time-variant Slope Stability model) in the prediction of rainfall-induced shallow landslides. TRIGRS employs one-dimensional (1-D) subsurface flow to simulate the infiltration rate, whereas a three-dimensional (3-D) model is utilized in TiVaSS. The former has been widely used in landslide modeling, while the latter was developed only recently. Both programs are used for the spatiotemporal prediction of shallow landslides caused by rainfall. The present study uses the July 2011 landslide event that occurred in Mt. Umyeon, Seoul, Korea, for validation. The performance of the two programs is evaluated by comparison with data of the actual landslides in both location and timing by using a landslide ratio for each factor of safety class ( index), which was developed for addressing point-like landslide locations. In addition, the influence of surface flow on landslide initiation is assessed. The results show that the shallow landslides predicted by the two models have characteristics that are highly consistent with those of the observed sliding sites, although the performance of TiVaSS is slightly better. Overland flow affects the buildup of the pressure head and reduces the slope stability, although this influence was not significant in this case. A slight increase in the predicted unstable area from 19.30% to 19.93% was recorded when the overland flow was considered. It is concluded that both models are suitable for application in the study area. However, although it is a well-established model requiring less input data and shorter run times, TRIGRS produces less accurate results.

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Spatial Characteristics and Driving Forces of Cultivated Land Changes by Coupling Spatial Autocorrelation Model and Spatial-temporal Big Data

  • Hua, Wang;Yuxin, Zhu;Mengyu, Wang;Jiqiang, Niu;Xueye, Chen;Yang, Zhang
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권2호
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    • pp.767-785
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    • 2021
  • With the rapid development of information technology, it is now possible to analyze the spatial patterns of cultivated land and its evolution by combining GIS, geostatistical analysis models and spatiotemporal big data for the dynamic monitoring and management of cultivated land resources. The spatial pattern of cultivated land and its evolutionary patterns in Luoyang City, China from 2009 to 2019 were analyzed using spatial autocorrelation and spatial autoregressive models on the basis of GIS technology. It was found that: (1) the area of cultivated land in Luoyang decreased then increased between 2009 and 2019, with an overall increase of 0.43% in 2019 compared to 2009, with cultivated land being dominant in the overall landscape of Luoyang; (2) cultivated land holdings in Luoyang are highly spatially autocorrelated, with the 'high-high'-type area being concentrated in the border area directly north and northeast of Luoyang, while the 'low-low'-type area is concentrated in the south and in the municipal area of Luoyang, and being heavily influenced by topography and urbanization. The expansion determined during the study period mainly took place in the Luoyang City, with most of it being transferred from the 'high-low'-type area; (3) elevation, slope and industrial output values from analysis of the bivariate spatial autocorrelation and spatial autoregressive models of the drivers all had significant effects on the amount of cultivated land holdings, with elevation having a positive effect, and slope and industrial output having a negative effect.

화학물질 배출·이동량 자료를 이용한 유해기반 지수의 시공간 특성 연구 (A Study on the Spatiotemporal Characteristics of a Hazard-based Index using the Pollutant Release and Transfer Register Data)

  • 김시진;임유라;배현주
    • 한국환경보건학회지
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    • 제47권2호
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    • pp.144-154
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    • 2021
  • Objectives: This study was intended to identify hazard contribution by region, media, and chemical by calculating a hazard-based index using pollutant release and transfer register (PRTR) data. Methods: PRTR data for the period 2011 to 2016 was analyzed to examine the regional trends in toxic releases in terms of quantity and to create a corresponding hazard-based index. For the hazard-based index, the Risk-Screening Environmental Indicators (RSEI) Model was used. Results: The results of the trend analysis show that total releases decreased slightly, but health hazard levels increased consistently. According to the outcome of regional contribution analysis of the hazard-based index, Chungcheongnam-do, Jeollabuk-do and Gyeonggi-do Provinces showed a high ratio in the index for air and water release pollutants, while Gyeongsangbuk-do and Gyeongsangnam-do Provinces showed a high ratio in the index of soil release and waste transfer pollutants. Also, as a result of the analysis of the top ranked substances in the hazard-based index, it was found that chromium, cobalt and its compounds, and ethylene oxide contributed greatly to air release substances, while chromium, benzene, and lead and its compounds contributed greatly to water release substances. Conclusion: These results showed considerable disparities between total release and health hazard levels, especially in the analysis of contribution by regions and by chemical substance. Therefore, the hazard-based index should be used both to support a more comprehensive and robust approach to screening of chemicals for environmental health policy and for management.

기수역 인공하천에서 시공간적 수질분포 특성 연구 (A study on Spatiotemporal Variations of distribution characteristics in Artificial Rivers of the Brackish Water Zone)

  • 김윤정;최옥연;한인섭
    • 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.

딥러닝의 패턴 인식능력을 활용한 주택가격 추정 (How the Pattern Recognition Ability of Deep Learning Enhances Housing Price Estimation)

  • 김진석;김경민
    • 한국경제지리학회지
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    • 제25권1호
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    • pp.183-201
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    • 2022
  • 주택가격을 정확히 추정하기 위한 많은 연구가 진행되어 왔다. 선행연구들은 주택의 고유 특성과 인근 지역 특성을 통제하는 계량경제모형을 활용한 분석이 많았다. 본 연구에서는 인공신경망 모형(ANN)을 활용하여 주택가격을 추정하였다. 딥러닝 기술의 장점은 변수 간의 복잡하고 비선형적인 특성을 모델링하고 데이터의 패턴을 인식할 수 있다는 것이다. 본 연구에서는 부동산 시장에서 공간적 분포도 패턴으로 인식할 수 있다는 가정하에 지리좌표를 설명변수로 ANN에 투입하였다. 선형회귀분석과 ANN 모형 간 비교 결과, 선형 모형 대비 ANN 모형의 설명력이 높았으며, 특히 ANN 모형은 지리좌표를 투입하였을 때 더 높은 정확도를 보여주었다. 또한 ANN 모형의 경우 지리좌표를 통해 모형 잔차의 공간적 자기 상관성이 크게 감소하였다는 점을 확인하였다. 이를 통해 ANN 모형의 패턴인식 능력을 활용하면 공간적 패턴을 학습시킴으로써 주택가격을 정확히 추정할 수 있음을 밝혔다.

3상 거동 상대투수율 선정에 따른 불포화대 및 포화대 내 NAPL 거동 특성 연구 (NAPL Fate and Transport in the Saturated and Unsaturated Zones Dependent on Three-phase Relative Permeability Model)

  • 김태훈;한원식;전현정;양우종;윤원우
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제27권spc호
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    • pp.75-91
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    • 2022
  • Differences in subsurface migration of LNAPL/DNAPL contaminants caused by a selection of 3-phase (aqueous, NAPL, and gas) relative permeability function (RPF) models in numerical modeling were investigated. Several types of RPF models developed from both experimental and theoretical backgrounds were introduced prior to conducting numerical modeling. Among the RPF models, two representative models (Stone I and Parker model) were employed to simulate subsurface LNAPLs/DNAPLs migration through numerical calculation. For each model, the spatiotemporal distribution of individual phases and the mole fractions of 6 NAPL components (4 LNAPL and 2 DNAPL components) were calculated through a multi-phase and multi-component numerical simulator. The simulation results indicated that both spilled LNAPLs and DNAPLs in the unsaturated zone migrated faster and reached the groundwater table sooner for Stone I model than Parker model while LNAPLs migrated faster on the groundwater table under Parker model. This results signified the crucial effect of 3-phase relative permeability on the prediction of NAPL contamination and suggested that RPF models should be carefully selected based on adequate verification processes for proper implementation of numerical models.

농업분야 비산먼지 활동도 자료의 시공간 해상도 개선 연구 (A Study on the Improvement of Spatiotemporal Resolution about Fugitive Dust Activity Data in the Agriculture Field)

  • 구태완;신호용;우지윤;문수호;최두선;김윤관;전의찬
    • 한국응용과학기술학회지
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    • 제39권1호
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    • pp.132-145
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    • 2022
  • 국내 농업 분야 비산먼지의 배출계수와 활동도 자료는 국내의 환경조건(풍속, 습도 등)과 농업의 특성을 반영하지 않고 미국의 인벤토리 체계를 그대로 적용해 왔다. 이 연구에서는, 활동 자료 중 하나인 시간 해상도는 풍속 및 건기일수 적용을 통해 월별 배분계수를 도출하여 지역별로 시간 해상도를 향상시켰고, 공간 해상도는 시·군·구에서 동과 리로 세분화하여 지역별로 공간 해상도를 향상시켰다. 이 연구를 통해, 지금 존재하는 농업분야의 비산먼지의 배출량, 활동도 자료의 개선에 중요한 자료로 활용될 수 있을 것으로 판단된다.