• 제목/요약/키워드: point sampling

검색결과 821건 처리시간 0.03초

Location of Sampling Points in Optical Reflectance Measurements of Chinese Cabbage and Kale Leaves

  • Ngo, Viet-Duc;Kang, Sin-Woo;Ryu, Dong-Ki;Chung, Sun-Ok;Park, Sang-Un;Kim, Sun-Ju;Park, Jong-Tae
    • Journal of Biosystems Engineering
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    • 제40권2호
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    • pp.115-123
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    • 2015
  • Purpose: A sampling scheme may significantly affect the accuracy of a sensor. This study was conducted to investigate the effects of sampling point locations on optical reflectance measurements of Chinese cabbage and kale plant leaves. Methods: Variability and similarity of multiple measurements for different parts of the leaves were compared. Results: The results indicate that the variability between the average and individual reflectance spectra was smaller for the blade part than for the vein part. Furthermore, the reflectance for the blade part over the upper leaf area was greater and more stable than those for the other parts for both the cabbage and kale leaf samples. Conclusions: The results provide guidelines for optical reflectance measurements of Chinese cabbage and kale plants. The effects of the number of sampling points, the number of leaves, and the relationships between optical reflectance and leaf components remain to be investigated in the future.

Analysis of Organic Molecular Markers in Atmospheric Fine Particulate Matter: Understanding the Impact of "Unknown" Point Sources on Chemical Mass Balance Models

  • Bae, Min-Suk;Schauer, James J.
    • 한국대기환경학회지
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    • 제25권3호
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    • pp.219-236
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    • 2009
  • Particle-phase organic tracers (molecular markers) have been shown to be an effective method to assess and quantify the impact of sources of carbonaceous aerosols. These molecular markers have been used in chemical mass balance (CMB) models to apportion primary sources of organic aerosols in regions where the major organic aerosol source categories have been identified. As in the case of all CMB models, all important sources of the tracer compounds must be included in a Molecular Marker CMB (MM-CMB) model or the MMCMB model can be subject to biases. To this end, the application of the MM-CMB models to locations where reasonably accurate emissions inventory of organic aerosols are not available, should be performed with extreme caution. Of great concern is the potential presence of industrial point sources that emit carbonaceous aerosols and have not been well characterized or inventoried. The current study demonstrates that emissions from industrial point sources in the St. Louis, Missouri area can greatly bias molecular marker CMB models if their emissions are not correctly addressed. At a sampling site in the greater St. Louis Area, carbonaceous aerosols from industrial point sources were found to be important source of carbonaceous aerosols during specific time periods in addition to common urban sources (i.e. mobile sources, wood burning, and road dust). Since source profiles for these industrial sources have not been properly characterized, method to identify time periods when point sources are impacting a sampling site, needs to avoid obtaining biases source apportionment results. The use of real time air pollution measurements, along with molecular marker measurements, as a screening tool to identify when point sources are impacting a receptor site is presented.

Registration of Aerial Image with Lines using RANSAC Algorithm

  • Ahn, Y.;Shin, S.;Schenk, T.;Cho, W.
    • 한국측량학회지
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    • 제25권6_1호
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    • pp.529-536
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    • 2007
  • Registration between image and object space is a fundamental step in photogrammetry and computer vision. Along with rapid development of sensors - multi/hyper spectral sensor, laser scanning sensor, radar sensor etc., the needs for registration between different sensors are ever increasing. There are two important considerations on different sensor registration. They are sensor invariant feature extraction and correspondence between them. Since point to point correspondence does not exist in image and laser scanning data, it is necessary to have higher entities for extraction and correspondence. This leads to modify first, existing mathematical and geometrical model which was suitable for point measurement to line measurements, second, matching scheme. In this research, linear feature is selected for sensor invariant features and matching entity. Linear features are incorporated into mathematical equation in the form of extended collinearity equation for registration problem known as photo resection which calculates exterior orientation parameters. The other emphasis is on the scheme of finding matched entities in the aide of RANSAC (RANdom SAmple Consensus) in the absence of correspondences. To relieve computational load which is a common problem in sampling theorem, deterministic sampling technique and selecting 4 line features from 4 sectors are applied.

Assessment of heavy metals in sediments of Shitalakhya River, Bangladesh

  • Al-Razee, A.N.M.;Abser, Md. Nurul;Mottalib, Md. Abdul;Rahman, Md. Sayadur;Cho, Namjun
    • 분석과학
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    • 제32권5호
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    • pp.210-216
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    • 2019
  • Concentrations of Cu, Zn, Fe, Mn, Ni and Cr have been estimated in sediments of the Shitalakhya River at Polash-Ghorashal area, Narsingdi, Bangladesh. 36 samples of sediments from nine sampling point at different locations of Shitalakhya River were collected to determine the concentration of Cu, Zn, Fe, Mn, Ni, Cr and the samples were analyzed by atomic absorption spectrophotometer (AAS). The obtained results were compared with national and international guidelines. The levels of heavy metal concentrations in sediments were found to decrease in the order of Fe > Mn > Zn > Ni > Cu > Cr, respectively. The heavy metal concentration in sediment of Shitalakhya was below the recommended safe limits of heavy metals by WHO, FAO and other international standards. Contamination factor (CF) of Zn and Cu at sampling point Fsd2 show higher (> 1) values due to the influence of external discrete sources like wastage catalysts of ZnO and CuO. Geo-accumulation index values of the study indicate as non-contaminated to moderately contaminate.

국가산림자원조사 고정표본점 자료를 이용한 토지이용변화 평가 (Land-use Change Assessment by Permanent Sample Plots in National Forest Inventory)

  • 임종수;김래현;이선정;손영모
    • 한국기후변화학회지
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    • 제6권1호
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    • pp.33-40
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    • 2015
  • Forests are to be recognized as an important carbon sink under the UNFCCC that consist of above- and below-biomass, dead organic matter (DOM) such as dead wood and litter, and soil organic matter (SOM). In order to asses for DOM and SOM, however, it is relevant to land-use change matrices over last 20 years for each land-use category. In this study, a land-use change matrix was produced and its uncertainty was assessed using a point sampling technique with permanent sample plots in national forest inventory at Chungbuk province. With point sampling estimated areas at 2012 year for each land-use category were significantly similar to the true areas by given six land-use categories. Relative standard error in terms of uncertainty of land-use change among land-use categories ranged in 4.3~44.4%, excluding the other land. Forest and cropland covered relatively large areas showed lower uncertainty compared to the other land-use categories. This result showed that selected permanent samples in the NFI are able to support for producing land-use change matrix at a national or province level. If the $6^{th}$ NFI data are fully collected, the uncertainty of estimated area should be improved.

몬테카를로 적분을 통한 3차원 점군의 건물 식별기법 연구 (A Study on Building Identification from the Three-dimensional Point Cloud by using Monte Carlo Integration Method)

  • 이채연;안승만
    • 한국지리정보학회지
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    • 제23권4호
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    • pp.16-41
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    • 2020
  • 실제 공간의 분포 또는 양적 속성을 대변하는 지리정보 입력은 지구시스템 모의 내에서 주요 관심사가 되고 있다. 많은 연구에서 다양한 격자 해상도에서의 지표면 특성에 대한 부정확한 추정이 모델링 결과를 크게 바꾸는 것으로 나타났다. 따라서, 이 논문은 도시지역 건물들의 분포와 면적·체적 속성을 반영하기 위해서, 항공라이다로 수집된 3DPC(three-dimensional point cloud) 샘플링 체계에 Monte Carlo Integration(MCI) 기법 기반 공간확률(spatial probability)을 적용을 제안하였다. 건물 식별과 관련해 공간확률(SP) 임계치, 격자 크기, 3차원점군 밀도 세 인자의 결정규칙 적용 결과가 비교되었다. 연구 결과, 건물의 격자가 커짐에 따라 식별되는 건물의 면적 속성이 증가하였다. 공간 모델링 및 분석의 신뢰성을 높이기 위해서는 샘플링 체계에서의 결정규칙을 사용하여 건물의 면적 속성을 조정하는 것이 권장된다. 제안된 방법은 모델링 분야가 요구하는 크고 작은 격자의 변화에서도 일정하게 건물 면적 속성이 유지되도록 지원할 것이다.

성별 및 채뇨 시각별 $^1H$ NMR 기반 뇨 대사체 프로파일링 연구 ($^1H$ NMR-Based Urinary Metabolic Profiling of Gender and Diurnal Variation in Healthy Korean Subjects)

  • 정진영;황금숙;박종철;김동현;하미나
    • Environmental Analysis Health and Toxicology
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    • 제25권4호
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    • pp.295-306
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    • 2010
  • Objectives : This study was undertaken to examine the metabolomic changes due to gender and diurnal variation at sampling time and to identify an appropriate time point for urine sampling in epidemiologic studies using metabolomic profiles. Methods : Urine samples were collected twice a day (morning and afternoon) from 20 healthy Korean adults after fasting for 8 hours. The metabolomic assay was investigated using $^1H$ NMR spectroscopy coupled with the principal components analysis (PCA) and partial least squares discriminant analysis (PLS-DA). The metabolites responsible for differentiation between groups were identified through the loading plot of PLS-DA and quantified using Chenomx NMR Suite with a 600 MHz library. Results : Metabolites responsible for differentiation in gender and sampling time were creatinine, trimethyl anine oxide (TMAO), hippurate, mannitol, citrate and acetoacetate. Dimethylamine showed difference only as a factor of diurnal time. The level of creatinine was higher in men compared to women, and the levels of citrate, TMAO, hippurate, mannitol, and acetoacetate were higher in women compared to men. The levels of creatinine, TMAO, hippurate, dimethylamine and mannitol were higher in the morning rather than the afternoon while those of citrate and acetoacetate were higher in the afternoon rather than the morning. Conclusions : Since urinary metabolomic profiles varied by gender and diurnal cycle, urine sampling should be performed at the same time point for all participants in epidemiologic studies using metabolomic profiles.

비만 여성의 체형 특성 분석을 위한 비만 판정 지수의 비교 (A Comparative Study on Obesity Judgment Indices for Body Characteristics Analysis in Korean Obese Women)

  • 이경화
    • 복식문화연구
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    • 제17권6호
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    • pp.1141-1154
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    • 2009
  • As a preliminary research of body characteristics analysis of Korean obese woman, this study aims to select optimal obesity judgment tools for reliable sampling of obese subjects from 2,425 female measurement data out of 2004 Size Korea project's raw data. From previous researches related to obesity, 7 obesity judgment tools were chosen. 2007 obesity rate(26.3%) of Korean female adults was refered in selecting optimal obesity judgment criteria in the study. The results are as follows. Firstly, it was verified that BMI was the most suitable in judging and sampling the obese subjects by the percentile analysis. R$\ddot{o}$hrer index was also reliable in grouping the obese subjects from a population. Secondly, it was concluded that the obesity ratios of relative weight 120 and higher group, R$\ddot{o}$hrer index 1.6 and higher group and waist girth 80cm and higher group were the most similar to obesity rate of Korean female adults by 2007 National Health & Nutrition Survey. Thirdly, 30 direct measurements, age, 2 drop values and 6 ratios of 7 groups by the obesity judgment tools showed the significance each other at p<0.001 level. On the other hand, "bust point to bust point" and "waist to hip length" measurements didn't show the significant differences among 7 groups. Conclusively, 4 to 5 satisfactions out of 7 obesity judgment criteria were adequate and sufficient in sampling the obese subjects. If it is needed the strict criteria for judging the obesity, 5 satisfactions and higher group will be the best choice as the obese subjects. However 4 satisfactions and higher group generally, will be adequate for sampling of the obese subjects.

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비균등 표본화 기법과 음성 부호화로의 응용 (A Nonuniform Sampling Technique and Its Application to Speech Coding)

  • 임병관
    • 한국지능시스템학회논문지
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    • 제24권1호
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    • pp.28-32
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    • 2014
  • 국소적으로 선형적인 특성을 보이는 음성신호와 같은 신호의 데이터율을 감소시키기 위하여 변곡점 검출에 기반한 비균등 표본화 방법을 제안한다. 국소적인 최대값과 최소값 검출에 기반하여 비균등 표본화를 수행하는 기존의 방법에 비하여 변곡점에 기반한 비균등 표본화는 신호의 기하학적인 특징을 충실히 활용한다. 결과로서, 변곡점 검출에 기반하여 비균등 표본화된 데이터를 보간법으로 처리하면 기존의 방법보다 원시신호를 정밀하게 복원할 수 있다. 컴퓨터 모의실험을 통하여 기존의 최대값/최소값 검출 방법에 비교해서 제안된 변곡점 검출 기반의 비균등 표본화가 약 9~23dB의 신호대 잡음비 개선효과가 있음을 확인하였다. 제안된 변곡점 검출 기반의 비균등 부호화의 유용성을 보이기 위하여 음성신호의 부호화에 적용하였으며, Continuously variable slope delta modulation (CVSD)방법과 성능을 비교하였다. 변곡점 표본은 1로 설정된 플래그와 함께 이진수로 전송되며, 비 변곡점은 플래그만 0으로 설정된다. 음성신호에 따라 약 0.3 ~ 9dB의 신호대 잡음비 개선효과가 있으며, 주관적인 성능지표인 Mean Opinion Score (MOS)는 약 0.5 ~ 1.3 개선되었다.

도플러 레이더 정보를 이용한 샘플링 시점 기반의 생체 신호 측정 알고리즘 개발 (Algorithm Development of Human Body Bio-Signal Measurement based on Sampling Time using Doppler Radar Information)

  • 유재춘;이명의
    • 한국항행학회논문지
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    • 제24권4호
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    • pp.322-327
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    • 2020
  • 최근 도플러 레이더를 이용하여 생체 신호를 획득하는 연구가 개발되어 병상의 환자들에게 적용되는 기술로 사용되고 있다. 하지만 측정되는 맥박의 경우 호흡 신호가 잡음으로 발생하여 정확도가 낮아지는 문제가 발생한다. 본 논문에서는 도플러 레이더를 이용하여 생체신호를 측정할 때 맥박을 측정하기 위한 신호의 정확도를 향상시키기 위한 샘플링 시점 기반의 생체 신호 측정 알고리즘을 제안한다. 제안하는 알고리즘은 두 개의 샘플링 시점을 기반으로 생체 신호 측정 시 발생되는 잡음을 제거하여 측정 생체 신호의 정확도를 높이는 것으로 실제 의료 장비 및 기존 생체 신호 알고리즘과 비교하였을 때, 의료 장비와 90% 이상의 유사함을 보이며, 또한 기존 알고리즘에 비해 심한 진폭의 변화가 최소화 된 것을 확인하였다.