• 제목/요약/키워드: Partial least square

검색결과 513건 처리시간 0.028초

Detecting Drought Stress in Soybean Plants Using Hyperspectral Fluorescence Imaging

  • Mo, Changyeun;Kim, Moon S.;Kim, Giyoung;Cheong, Eun Ju;Yang, Jinyoung;Lim, Jongguk
    • Journal of Biosystems Engineering
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    • 제40권4호
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    • pp.335-344
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    • 2015
  • Purpose: Soybean growth is adversely affected by environmental stresses such as drought, extreme temperatures, and nutrient deficiency. The objective of this study was to develop a method for rapid measurement of drought stress in soybean plants using a hyperspectral fluorescence imaging technique. Methods: Hyperspectral fluorescence images were obtained using UV-A light with 365 nm excitation. Two soybean cultivars under drought stress were analyzed. A partial least square regression (PLSR) model was used to predict drought stress in soybeans. Results: Partial least square (PLS) images were obtained for the two soybean cultivars using the results of the developed model during the period of drought stress treatment. Analysis of the PLS images showed that the accuracy of drought stress discrimination in the two cultivars was 0.973 for an 8-day treatment group and 0.969 for a 6-day treatment group. Conclusions: These results validate the use of hyperspectral fluorescence images for assessing drought stress in soybeans.

근적외선 분광광도법을 이용한 송이버섯의 원산지 판별 (Discrimination of Geographical Origin of Mushroom (Tricholoma matsutake) using Near Infrared Spectroscopy)

  • 이남윤;배혜리;노봉수
    • 한국식품과학회지
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    • 제38권6호
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    • pp.835-837
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    • 2006
  • 근적외선 분광광도법을 이용하여 송이버섯의 원산지 판별을 시험하였다. 259개의 국내산 시료중 256개는 국내산으로 판별하였고(98.84%) 수입산 81개중 60개는 수입산으로 판별하였으나(74.07%) 21개의 북한산은 판별하기가 모호하여 잘못 판정한 것으로 간주할 때 시료 판별의 전체정확도는 92.94%로 나타났다. MPLS에 따른 분석의 경우 상관계수는 0.84, 검량선의 표준오차는 15.10%, 예측 표준오차는 18.30% 이었다.

가시광선 / 근적외선 분광 분석법을 이용한 쌀의 정백수율 측정 (Determination of Rice Milling Ratio by Visible / Near-Infrared Spectroscopy)

  • 김재민;민봉기;최창현
    • Journal of Biosystems Engineering
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    • 제22권3호
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    • pp.333-342
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    • 1997
  • The objective of this research was to develop model equations for measuring rice milling ratio by using visible / HIR spectroscopy. Twelve kinds of brown rice(n = 149) were milled to obtain various milling ratio ranged from 86% to 94%. Visible/NIR spectra were collected with a spectrophotometer with sample transport module. The reflectance and transmission spectra were measured in the range of 400~2, 500nm and 600~1, 400nm, respectively, with 2 nm intervals. Multiple linear regression(MLR), Partial least square (PLS), and Artificial neural network(ANN) were used to develop models. Model developed with reflectance spectra showed better prediction results then those with transmission spectra. The MLR model with six-wavelength obtained from first derivative spectra gave to the best results for measuring the rice milling ratio(SEP = 0.535, , $r^2$ = 0.980). The PLS model(SEP = 0.604, $r^2$= 0.976) and ANN model(SEP = 0.566, $r^2$= 0.978) also can be used to determine the rice milling ratio effectively.

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Determination of Ethanol in Blood Samples Using Partial Least Square Regression Applied to Surface Enhanced Raman Spectroscopy

  • Acikgoz, Gunes;Hamamci, Berna;Yildiz, Abdulkadir
    • Toxicological Research
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    • 제34권2호
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    • pp.127-132
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    • 2018
  • Alcohol consumption triggers toxic effect to organs and tissues in the human body. The risks are essentially thought to be related to ethanol content in alcoholic beverages. The identification of ethanol in blood samples requires rapid, minimal sample handling, and non-destructive analysis, such as Raman Spectroscopy. This study aims to apply Raman Spectroscopy for identification of ethanol in blood samples. Silver nanoparticles were synthesized to obtain Surface Enhanced Raman Spectroscopy (SERS) spectra of blood samples. The SERS spectra were used for Partial Least Square (PLS) for determining ethanol quantitatively. To apply PLS method, $920{\sim}820cm^{-1}$ band interval was chosen and the spectral changes of the observed concentrations statistically associated with each other. The blood samples were examined according to this model and the quantity of ethanol was determined as that: first a calibration method was established. A strong relationship was observed between known concentration values and the values obtained by PLS method ($R^2=1$). Second instead of then, quantities of ethanol in 40 blood samples were predicted according to the calibration method. Quantitative analysis of the ethanol in the blood was done by analyzing the data obtained by Raman spectroscopy and the PLS method.

기업혁신 수단으로서 사원제안제도의 영향요인에 관한 연구: 제조업과 비제조업 비교 (A Study on the Factors of Employee Suggestion Systems: Comparing manufacturing and non-manufacturing firms)

  • 백상용
    • 기술혁신학회지
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    • 제9권3호
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    • pp.451-470
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    • 2006
  • 본 연구는 사원 개인을 분석단위로 사원제안제도의 활용에 영향을 미치는 요인을 살펴보았다. 또한 사원제안제도가 지금까지 제조업 중심으로 이루어져 왔지만 최근 서비스업을 중심으로 비제조업에도 사원제안제도가 확산됨에 따라 업종별 차이도 분석하였다. 연구 가설은 Unsworth(2001)의 개인 창의성 분류와 Frese et al.(1999)의 사원제안제도 일반 모형에서 도출하였다. 자동차 조립업체와 은행을 대상으로 자료를 수집하였고 PLS로 통계분석을 실시하였다. 연구결과를 보면 Frese et al.(1999)의 일반모형은 대체로 지지되었으며 업종간 유의한 차이를 발견하지는 못하였다. 그러나 모형 내부 변수들의 상관관계의 정도는 유의한 통계적 차이를 보였다. 이를 바탕으로 비제조업의 사원제안제도 활용에 대한 제언을 제시하였다.

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지점빈도분석과 지역빈도분석을 이용한 확률홍수량 산정 (Estimation of Frequency-Based Flood Using At-Site Frequency Analysis and Regional Frequency Analysis)

  • 이길성;박경신;정은성;김상욱
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2008년도 학술발표회 논문집
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    • pp.2249-2253
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    • 2008
  • 본 연구에서는 지점빈도분석과 지역빈도분석을 이용하여 확률홍수량을 산정 하였다. 지점빈도 분석은 Annual Maximum Series(AMS) 및 Partial Duration Series(PDS)를 이용하여 자료를 추출하고 각 자료에 적합한 확률분포를 이용하여 확률홍수량을 산정하였다. 그러나 AMS를 이용한 확률홍수량의 산정은 표본의 개수가 부족하면 이에 따른 변동성(variability)이 커지게 되는 단점이 존재하며, PDS를 사용하면 임계값(threshold)에 따른 주관적 영향이 결과에 반영되는 단점이 존재하는 것으로 알려져 있다. 따라서 본 연구에서는 PDS를 사용하는 경우의 단점을 해결하기 위해 연 1.7회의 발생횟수를 갖는 자료를 추출하고 몬테카를로 모의시험을 통하여 주관적 영향을 제거하였다. 또한 두 가지 방법에 의해 산정된 확률홍수량의 비교검토를 위해 지역빈도분석을 수행하였다. 유역의 면적과 일평균강우량으로부터 확률홍수량을 산정할 수 있는 것으로 알려진 Bayesian-Generalized Least Square(B-GLS) 방법을 이용하여 확률홍수량을 산정하였다. 최종적으로 안양천 유역의 13개 소유역에 대한 세 가지 방법에 의해 산정된 확률홍수량을 비교 검토한 결과, 특정한 방법이 항상 우수하다는 결론은 얻을 수 없었으나 각 유역별로 AMS가 가장 크고 B-GLS가 가장 작은 확률홍수량을 갖는 경향을 나타내었다.

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보안위험, 편리성, 사회적 영향이 인터넷 뱅킹 사용에 미치는 효과 - 계좌이체와 잔액조회 서비스의 비교 (The Effect of Security Risk, Convenience and Social Influence on Internet Banking Use)

  • 이웅규
    • 한국정보시스템학회지:정보시스템연구
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    • 제14권2호
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    • pp.1-23
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    • 2005
  • Theoretically, both of fund transfer and balance inquiry which are typical Internet banking services are influenced by the beliefs on the use of Internet banking such as perceived risk and convenience, which have been shown as in the other studies. However, the use of fund transfer can be more sensitive than that of balance inquiry by the beliefs on Internet banking use since the former is not only more risk involved but also more complicated in using than the latter. The objective of this study is to analyze the relationship between the use of two Internet banking services-fund transfer and balance inquiry-and the beliefs on Internet banking use-security risk, convenience and social Influence. For this purpose, we provide the research model for explaining the difference between balance inquiry and fund transfer in the degree of influencing by security risk, convenience and social influence and test it empirically by collecting data from surveying for 206 internet banking users. In result, we show validity of the suggested model by Partial Least Square(PLS) approach.

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MOISTURE CONTENT MEASUREMENT OF POWDERED FOOD USING RF IMPEDANCE SPECTROSCOPIC METHOD

  • Kim, K. B.;Lee, J. W.;S. H. Noh;Lee, S. S.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 2000년도 THE THIRD INTERNATIONAL CONFERENCE ON AGRICULTURAL MACHINERY ENGINEERING. V.II
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    • pp.188-195
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    • 2000
  • This study was conducted to measure the moisture content of powdered food using RF impedance spectroscopic method. In frequency range of 1.0 to 30㎒, the impedance such as reactance and resistance of parallel plate type sample holder filled with wheat flour and red-pepper powder of which moisture content range were 5.93∼-17.07%w.b. and 10.87 ∼ 27.36%w.b., respectively, was characterized using by Q-meter (HP4342). The reactance was a better parameter than the resistance in estimating the moisture density defined as product of moisture content and bulk density which was used to eliminate the effect of bulk density on RF spectral data in this study. Multivariate data analyses such as principal component regression, partial least square regression and multiple linear regression were performed to develop one calibration model having moisture density and reactance spectral data as parameters for determination of moisture content of both wheat flour and red-pepper powder. The best regression model was one by the multiple linear regression model. Its performance for unknown data of powdered food was showed that the bias, standard error of prediction and determination coefficient are 0.179% moisture content, 1.679% moisture content and 0.8849, respectively.

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벌점함수를 이용한 부분최소제곱 회귀모형에서의 변수선택 (Variable Selection in PLS Regression with Penalty Function)

  • 박종선;문규종
    • Communications for Statistical Applications and Methods
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    • 제15권4호
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    • pp.633-642
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    • 2008
  • 본 논문에서는 반응변수가 하나 이상이고 설명변수들의 수가 관측치에 비하여 상대적으로 많은 경우에 널리 사용되는 부분최소제곱회귀모형에 벌점함수를 적용하여 모형에 필요한 설명변수들을 선택하는 문제를 고려하였다. 모형에 필요한 설명변수들은 각각의 잠재변수들에 대한 최적해 문제에 벌점함수를 추가한 후 모의담금질을 이용하여 선택하였다. 실제 자료에 대한 적용 결과 모형의 설명력 및 예측력을 크게 떨어뜨리지 않으면서 필요없는 변수들을 효과적으로 제거하는 것으로 나타나 부분최소제곱회귀모형에서 최적인 설명변수들의 부분집합을 선택하는데 적용될 수 있을 것이다.

유한요소법을 이용한 사각단면 금형스프링의 초기 설계변수 예측 (Prediction of Initial Design Parameter of Rectangular Shaped Mold Spring Using Finite Element Method)

  • 이형욱
    • 소성∙가공
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    • 제20권6호
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    • pp.450-455
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    • 2011
  • This paper presents an inverse design methodology for the cross section geometry of mold spring with a rectangular cross section as the starting material for a coiling process. The cross-sections of mold springs are universally rectangular, as the parallel sides minimize the possibility of failure under high service loads. Pre-coiled wires are initially designed to have a trapezoidal cross section, which becomes a rectangle by the coiling process. This study demonstrates a numerical exercise to predict changes in the sectional geometry in spring manufacture and to obtain the initial cross section which becomes the exact rectangle desired from the manufacturing process. Finite element analysis was carried out to calculate the sectional changes for various mold springs. Geometrical parameters were the widths at inner and outer radii, the inner and the outer corner radii, and the height. A partial least square regression analysis was carried out to find the main contributing factors for deciding initial design values. The height and the width mainly affected various initial parameters. The initial width at the inner radius was mostly affected by various specification parameters.