• 제목/요약/키워드: Spatial Sampling

검색결과 463건 처리시간 0.027초

Research on Multiple-image Encryption Scheme Based on Fourier Transform and Ghost Imaging Algorithm

  • Zhang, Leihong;Yuan, Xiao;Zhang, Dawei;Chen, Jian
    • Current Optics and Photonics
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    • 제2권4호
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    • pp.315-323
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    • 2018
  • A new multiple-image encryption scheme that is based on a compressive ghost imaging concept along with a Fourier transform sampling principle has been proposed. This further improves the security of the scheme. The scheme adopts a Fourier transform to sample the original multiple-image information respectively, utilizing the centrosymmetric conjugation property of the spatial spectrum of the images to obtain each Fourier coefficient in the most abundant spatial frequency band. Based on this sampling principle, the multiple images to be encrypted are grouped into a combined image, and then the compressive ghost imaging algorithm is used to improve the security, which reduces the amount of information transmission and improves the information transmission rate. Due to the presence of the compressive sensing algorithm, the scheme improves the accuracy of image reconstruction.

Intelligent LoRa-Based Positioning System

  • Chen, Jiann-Liang;Chen, Hsin-Yun;Ma, Yi-Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제16권9호
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    • pp.2961-2975
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    • 2022
  • The Location-Based Service (LBS) is one of the most well-known services on the Internet. Positioning is the primary association with LBS services. This study proposes an intelligent LoRa-based positioning system, called AI@LBS, to provide accurate location data. The fingerprint mechanism with the clustering algorithm in unsupervised learning filters out signal noise and improves computing stability and accuracy. In this study, data noise is filtered using the DBSCAN (Density-Based Spatial Clustering of Applications with Noise) algorithm, increasing the positioning accuracy from 95.37% to 97.38%. The problem of data imbalance is addressed using the SMOTE (Synthetic Minority Over-sampling Technique) technique, increasing the positioning accuracy from 97.38% to 99.17%. A field test in the NTUST campus (www.ntust.edu.tw) revealed that AI@LBS system can reduce average distance error to 0.48m.

공간 광 변조기를 이용한 홀로그래픽 스테레오그램의 제작 (Holographic setereograms using spatial light modulator)

  • 김은석;김남
    • 전자공학회논문지D
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    • 제35D권2호
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    • pp.86-92
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    • 1998
  • Holographic stereograms were made using a geometrical method easily. Becausethe conventioal sampling metod which is used in cylinder type stereograms, divide the anales of the object so it can't offer a binocular parallax effect very well, and it is also difficult to afficult to apply to the plane type stereograms. In this paper, holographic stereograms were made by use of a new method for the calculation of the sampling number(here, sampliing angles), and the TFT LCD. In order to calculate the sampling angles, geometrical method was used and 2-D images were projected onto diffuser screen through TFT LCD. Result stereorgrams which aremade by a sampling method proposed in this ppaer give a accurate binocular parallax and have a sufficient viewing zone and show that it is possible to make 3-D movies.

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개선된 다중 구간 샘플링 배경제거 알고리즘 (An Improved Multiple Interval Pixel Sampling based Background Subtraction Algorithm)

  • 무하마드 타릭 마흐무드;최영규
    • 반도체디스플레이기술학회지
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    • 제18권3호
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    • pp.1-6
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    • 2019
  • Foreground/background segmentation in video sequences is often one of the first tasks in machine vision applications, making it a critical part of the system. In this paper, we present an improved sample-based technique that provides robust background image as well as segmentation mask. The conventional multiple interval sampling (MIS) algorithm have suffer from the unbalance of computation time per frame and the rapid change of confidence factor of background pixel. To balance the computation amount, a random-based pixel update scheme is proposed and a spatial and temporal smoothing technique is adopted to increase reliability of the confidence factor. The proposed method allows the sampling queue to have more dispersed data in time and space, and provides more continuous and reliable confidence factor. Experimental results revealed that our method works well to estimate stable background image and the foreground mask.

Ichthyoplankton Detection Proportion and Margin of Error for the Scomber japonicus in Korean Coastal Seas

  • Kim, Sung;Cho, Hong-Yeon
    • Ocean and Polar Research
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    • 제39권2호
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    • pp.73-84
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    • 2017
  • The probability distribution of ichthyoplankton is important for enhancing the precision of sampling while reducing unnecessary surveys. To estimate the ichthyoplankton detection proportion (IDP) and its margin of error (ME), the monitoring information of the chub mackerel's (Scomber japonicus) ichthyoplankton presence-absence sampling data has been were collected over approximately 30 years (from 1982 to 2011) in the Korean coastal seas. Based on the computed spatial distributions of the mackerel's IDP and ME, the confidence interval (CI) range, defined as 2 ME, decreases from approximately 80% to 40% as the sample size n increases from 4 to 24 and the ME is approximately 40% in the typical (seasonal survey) case n = 4 per year. The IDP and ME off Jeju Island are relatively high at the 0.5-degree smoothing level. After increasing the spatial smoothing level to 1.0-degree, the ME decreased, and the spatial distribution pattern also changed due to the over-smoothing effects. In this study, the 0.5-degree smoothing is more suitable for the distribution pattern than the 1.0-degree smoothing level. The area of the high IDP and the low ME on the mackerel's ichthyoplankton was similar to the estimated spawning ground in the Korean peninsula. This information could contribute to enhancing for the spawning ecology surveys.

관측오차문제에 대한 다차원 강우모형의 적용 (Application of Multi-Dimensional Precipitation Models to the Sampling Error Problem)

  • 유철상
    • 한국수자원학회논문집
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    • 제30권5호
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    • pp.441-447
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    • 1997
  • 강우계측망이나 인공위성을 이용하여 어떤 지역의 강우를 관측할 경우 각 관측방법의 특성에 따라 관측오차가 발생하게 된다. 즉, 강우계측망을 이용할 경우 관측된 강우는 시간적으로 연속이지만 공간적으로는 불연속의 특성을 갖게 되고 인공위성을 이용하는 경우 강우는 공간적으로는 연속이지만 시간적으로 불연속인 특성을 나타내게 된다. 이에 따라 관측오차의 계산은 강우의 시간적-공간적 통rP특성과 관측방법에 따라 각각 다르게 정량화된다. 현재 이 문제와 관련하여 North와 Nakamoto(1989)가 제안한 관측오차의 추정식이 가장 대표적이라고 할 수 있으며, 이 식에서는 강우의 통계특성과 관측방법에 따른 특성이 고려되어 있다. 이 식은 강우의 특성이 어느 정도 파악되는 경우 적절한 강우관측 계획 수립을 가능할 수 있게 해준다. 본 논문에서는 먼저 관측방법에 따른 관측오차의 계산에 대해 살펴보고, 명 책의 다차원 강우모형을 이용하여 이 문제에 적용해 보았다. 적용 결과 현재까지의 관측오차 계산에는 강우의 2차원 통계 특성만이 고려되기 때문에 모형의 매개변수들이 이 특성에 맞추어 적절히 추정된 경우, 모형에 따른 관측오차의 크기는 크지 않은 것으로 밝혀졌다. 앞으로 이러한 단점은 2차원 이상의 통계특성을 고려하는 관측오차의 추정식, 궁극적으로는 강우의 확률밀도함수를 고려할 수 있는 관측오차의 추정식의 개발을 통해 개선될 수 있을 것이다.

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고정된 공간 축 샘플링 간격을 적용한 뜯는 현악기의 현에 관한 물리적 모델링 (Physical Modeling of Plucked String Based on Fixed Spatial Sampling Interval)

  • 강명수;김규년
    • 한국음향학회지
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    • 제20권1호
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    • pp.3-12
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    • 2001
  • 뜯는 현악기의 물리적 모델에서는 선형 시스템에 의해 현을 따라 이동하는 파동이 모델링 된다. 현재 양질의 악기 음 합성을 위해 사용되는 물리적 모델링 방법은 J.O. Smith가 제안한 디지털 도파관[1] 이론을 기초로 한다. J.O. Smith는 디지털 도파관 모델을 유도하기 위해 파동 방정식의 해를 이용했으며, 시간 변수를 기준으로 한 모델을 유도했다. 본 논문에서는 기존의 이론에 파동 방정식의 공간 변수도 고려해 악기를 모델링 함으로써 기존의 디지털 도파관 모델을 변형한 새로운 모델을 제시하였다. 새로운 악기 모델에서는 파동의 속도에 관계없이 공간 변수의 샘플링 간격을 일정하게 유지한 상태에서 시간 변수의 변화에 따른 파동의 이동을 묘사할 수 있도록 하였다. 이렇게 함으로써 새로운 악기 모델은 악기의 물리적인 움직임을 더 정확히 묘사할 수 있으며, 결과적으로 더 좋은 음질의 뜯는 현악기 음을 합성할 수 있다.

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산불 피해강도의 공간 자기상관성 검증에 관한 연구 (Testing Spatial Autocorrelation of Burn Severity)

  • 이상우;원명수;이현주
    • 한국산림과학회지
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    • 제101권2호
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    • pp.203-212
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    • 2012
  • 본 연구는 2011년 산불피해지인 울진과 영덕지역 산불피해지를 대상으로 산불 피해강도의 공간 자기상관성 검증에 목표를 두고 수행되었다. 자기상관성은 산불 피해지의 현장조사, 피해지 모니터링 등 샘플링의 적정 이격거리 설정과 자료의 독립성 검증 측면에서 매우 중요하다. 산불 피해강도 측정을 위해 SPOT영상을 이용하여 NDVI 값을 계산하였으며, 5000개의 지점들을 GIS상에서 랜덤으로 대상지에 분산 배치시키고 지점별 NDVI 값을 샘플링하였다. 공간 자기상관도는 Moran's I값과 Variogram 모형을 이용하여 분석하였다. 분석결과 Moran's I 값이 울진의 경우 0.7745, 영덕의 경우 0.7968로 나타나 강한 공간 자기상관이 존재하는 것으로 분석되었다. Variogram 및 Lag class 별 Moran's I값 변화에 기초하여 도출된 적정한 샘플링 이격거리는 울진의 경우 566-2,151 m, 영덕의 경우 272-402 m 범위에서 상관도의 정도에 따라 다른 이격거리를 적용하여야 할 것으로 분석되었다. 이격거리를 획일적으로 적용하는 것 보다 Anisotropic 분석결과를 기초로 하여 상관도가 높은 지역에서는 크게, 반면 낮은 지역은 상대적으로 작게 유동적으로 적용하여야 효과적일 것으로 판단된다.

LULUCF 부문 산림 온실가스 인벤토리 구축을 위한 Sampling과 Wall-to-Wall 방법론 비교 (Comparison of Sampling and Wall-to-Wall Methodologies for Reporting the GHG Inventory of the LULUCF Sector in Korea)

  • 박은빈;송철호;함보영;김지원;이종열;최솔이;이우균
    • 한국기후변화학회지
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    • 제9권4호
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    • pp.385-398
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    • 2018
  • Although the importance of developing reliable and systematic GHG inventory has increased, the GIS/RS-based national scale LULUCF (Land Use, Land-Use Change and Forestry) sector analysis is insufficient in the context of the Paris Agreement. In this study, the change in $CO_2$ storage of forest land due to land use change is estimated using two GIS/RS methodologies, Sampling and Wall-to-Wall methods, from 2000 to 2010. Particularly, various imagery with sampling data and land cover maps are used for Sampling and Wall-to-Wall methods, respectively. This land use matrix of these methodologies and the national cadastral statistics are classified by six land-use categories (Forest land, Cropland, Grassland, Wetlands, Settlements, and Other land). The difference of area between the result of Sampling methods and the cadastral statistics decreases as the sample plot distance decreases. However, the difference is not significant under a 2 km sample plot. In the 2000s, the Wall-to-Wall method showed similar results to sampling under a 2 km distance except for the Settlement category. With the Wall-to-Wall method, $CO_2$ storage is higher than that of the Sampling method. Accordingly, the Wall-to-Wall method would be more advantageous than the Sampling method in the presence of sufficient spatial data for GHG inventory assessment. These results can contribute to establish an annual report system of national greenhouse gas inventory in the LULUCF sector.

Geostatistical Analysis of Soil Enzyme Activities in Mud Flat of Korea

  • Jung, Soohyun;Lee, Seunghoon;Park, Joonhong;Seo, Juyoung;Kang, Hojeong
    • Ecology and Resilient Infrastructure
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    • 제4권2호
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    • pp.93-96
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    • 2017
  • Spatial variations of physicochemical and microbiological variables were examined to understand spatial heterogeneity of those variables in intertidal flat. Variograms were constructed for understanding spatial autocorrelations of variables by a geostatistical analysis and spatial correlations between two variables were evaluated by applications of a Cross-Mantel test with a Monte Carlo procedure (with 999 permutations). Water content, organic matter content, pH, nitrate, sulfate, chloride, dissolved organic carbon (DOC), four extracellular enzyme activities (${\beta}-glucosidase$, N-acetyl-glucosaminidase, phosphatase, arylsulfatase), and bacterial diversity in soil were measured along a transect perpendicular to shore line. Most variables showed strong spatial autocorrelation or no spatial structure except for DOC. It was suggested that complex interactions between physicochemical and microbiological properties in sediment might controls DOC. Intertidal flat sediment appeared to be spatially heterogeneous. Bacterial diversity was found to be spatially correlated with enzyme activities. Chloride and sulfate were spatially correlated with microbial properties indicating that salinity in coastal environment would influence spatial distributions of decomposition capacities mediated by microorganisms. Overall, it was suggested that considerations on the spatial distributions of physicochemical and microbiological properties in intertidal flat sediment should be included when sampling scheme is designed for decomposition processes in intertidal flat sediment.