• 제목/요약/키워드: Total Least Squares

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Use of Near-Infrared Spectroscopy for Estimating Fatty Acid Composition in Intact Seeds of Rapeseed

  • Kim, Kwan-Su;Park, Si-Hyung;Choung, Myoung-Gun;Jang, Young-Seok
    • Journal of Crop Science and Biotechnology
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    • 제10권1호
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    • pp.13-18
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    • 2007
  • Near-infrared spectroscopy(NIRS) was used as a rapid and nondestructive method to determine the fatty acid composition in intact seed samples of rapeseed(Brassica napus L.). A total of 349 samples(about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for fatty acid composition were measured by gas-liquid chromatography. Calibration equations for individual fatty acids were developed using the regression method of modified partial least-squares with internal cross validation(n=249). The equations had low SECV(standard errors of cross-validation), and high $R^2$(coefficient of determination in calibration) values(>0.8) except for palmitic and eicosenoic acid. Prediction of an external validation set(n=100) showed significant correlation between reference values and NIRS estimated values based on the SEP(standard error of prediction), $r^2$(coefficient of determination in prediction), and the ratio of standard deviation(SD) of reference data to SEP. The models developed in this study had relatively higher values(> 3.0 and 0.9, respectively) of SD/SEP(C) and $r^2$ for oleic, linoleic, and erucic acid, characterizing those equations as having good quantitative information. The results indicated that NIRS could be used to rapidly determine the fatty acid composition in rapeseed seeds in the breeding programs for high quality rapeseed oil.

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가치수용 모델을 활용한 스마트워치 확산 결정요인 분석 (Exploring Determinants of Smartwatch Diffusion Using a Value Adoption Model)

  • 송근혜;박종현;이승민
    • 기술혁신학회지
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    • 제21권2호
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    • pp.684-714
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    • 2018
  • 스마트워치의 확산이 예상과는 달리 더디게 진행되고 있다. 스마트워치 공급업체들은 현재의 캐즘을 극복하기 위해 새로운 전략을 수립할 필요가 있다. 그러나 스마트워치의 어떠한 속성을 전략적으로 활용하여 시장 확산을 이루어야 하는가를 타당하게 수행한 연구는 매우 드물다. 본 연구는 스마트워치가 가져다줄 것으로 예상되는 혜택과 이를 위해 치러야 할 비용을 소비자 관점에서 분석하고, 소비자의 혁신성향이 시장 확산에 기여할 수 있는지를 살펴보았다. 이를 위해 323개의 유효데이터를 확보하여 구조 방정식 분석을 실시하였다. 분석 결과, 스마트워치의 두 가지 혜택(utilitarian and hedonic)과 세 가지 비용(usability, performance, and finance)이 가치인식을 통해 사용의도에 영향을 주는 것으로 나타났다. 또한 소비자의 혁신성향이 가치인식과 사용의도의 관계를 조절하는 것으로 드러났다. 주목할 점은, 소비자들이 스마트워치가 사회적 혜택을 가져다 줄 것으로 기대할 것이라는 가설이 기각되었다는 점이다. 즉, 스마트워치 사용이 소비자에게 이미지 향상을 가져다 줄 것이라는 전략은 스마트워치 확산에 큰 기여를 하지 않을 수 있다. 스마트워치의 시장 확산을 이루기 위해서는 혁신성향이 높은 소비자들을 대상으로 소비자들이 기대하는 혜택을 활용하는 전략을 수립해야 한다.

수확예측(收穫豫測) Model의 Multicollinearity 문제점(問題點) 해결(解決)을 위(爲)한 Ridge Regression의 이용(利用) (The Use Ridge Regression for Yield Prediction Models with Multicollinearity Problems)

  • 신만용
    • 한국산림과학회지
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    • 제79권3호
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    • pp.260-268
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    • 1990
  • 수확(收穫) 예측(豫測) model이 multicollinearity 문제점(問題點) 가질때 보다 정확한 추정식(推定式)을 얻기 위하여 두 종류의 ridge estimator와 최소(最小) 자승법(自乘法)(OLS)의 추정치를 비교(比較)하였다. 본 연구(硏究)에서 사용(使用)된 ridge estmator는 Mallows's (1973)Cp-like statistic과 Allens's (1974) PRESS-like statistic 이었다. 위의 세가지 estimator 예측(豫測) 능력(能力) 평가(評賣)는 Matney 등(等)(1988)에 의하여 개발(開發)된 수확(收穫) model을 이용(利用)하여 비교(比較)하였다. 사용되어진 자료(資料)는 미국(美國) 남부(南部) 테에다 소나무 시험림(試驗林)의 총(總)522개(個) plot을 이용(利用)하였다. 두 개(個)의 ridge estimator가 최소(最小) 자승법(自乘法)에 의한 추정치 보다 수확(收穫) 예측(豫測) 능력(能力)이 우수(優秀)하였으며, 특히 Mallows's statistic에 의한 ridge estimator가 가장 우수(優秀)하였다. 따라서 ridge estimator는 수확(收穫) 예측(豫測) model의 독립(獨立) 변수(變數) 간(間)에 multicollinearity 문제점(問題點)이 있을 때 최소(最小) 자승법(自乘法)에 의 한 추정치를 대치(代置)할 수 있는 estimator로서 추천(推薦)할 수 있었다.

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운행 자동차에 대한 정적 및 동적 제동력 검사 시스템의 제동력 특성 비교 (Comparison in Braking Force Characteristics for the Static and Dynamic Braking Force Inspection System about Vehicles in Service)

  • 오상엽
    • 한국자동차공학회논문집
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    • 제23권3호
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    • pp.344-351
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    • 2015
  • Braking force inspection of vehicles in service is certainly one of the most important characteristics that affect vehicle safety. Up to now, in domestic country, the regular safety inspection of vehicles in service has been tested with a roller type brake test (a static braking force inspection system). But, in EU and USA etc. in recent years, it has been tested with a plate type brake test (a dynamic braking force inspection system). In this study, to compare the characteristics of above two test systems, the correlations for the results of braking force are evaluated statistically. As the results, in the case of main braking force, the range of the $R^2$ of the deviation for the left and right side is 0.5386 ~ 0.6231 in the rear axle and 0.0032 ~ 0.0052 in the front axle respectively, then the $R^2$ in the front axle is lower than that in the rear axle and the total variation is unexplained by the least-squares regression line statistically. Also, the p-value for the deviation of the left and right in the front axle is 0.4839 ~ 0.5755, then it has nonsignificant in the front axle. Therefore, the static braking force inspection system can not reflect the inertia force that there is a load transfer from the rear axle to the front axle during braking. Accordingly, it is necessary to adopt the dynamic braking force inspection system which can reflect the inertia force on the regular vehicle safety inspection in domestic country.

도로 소음 저감을 위한 능동소음제어 시스템의 개발 및 기초실험 (Development and Basic Experiment of Active Noise Control System for Reduction of Road Noise)

  • 문학룡;강원평;임유진
    • 한국도로학회논문집
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    • 제15권6호
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    • pp.41-47
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    • 2013
  • PURPOSES : The purpose of this study is about noise which is generated from roads and is consist of irregular frequency variation from low frequency to various band. The existing methods of noise reduction are sound barrier that uses insulation material and absorbing material or have applied passive technology of noise reduction by devices. The total frequency band is needed to apply active noise control. METHODS : In this study applies to the field of road traffic environment, signal processing controller and various analog signal input/output, the amplifier module is based on parallel-core embedded processor designed. DSP performs the control algorithm of the road traffic noise. Noise sources in the open space performance of evaluation were applied. In this study, controller of active signal processor was designed based on the module of audio input/output and main controller of embedded process. The controller of active signal processor operates noise reduction algorithm and performance tests of noise reduction in inside and outside environment were executed. RESULTS : The signal processing controller with OMAP-L137 parallel-core processors as the center, DSP processors in the active control operations dealt with quickly. To maximize the operation speed of an object and ARM processor is external function keys and display for functions and evaluating the performance management system was designed for the purpose of the interface. Therefore the reduction of road traffic noise has established an electronic controller-based noise reduction. CONCLUSIONS : It is shown that noise reduction is effective in the case of pour tonal sound and complex tonal sound below 500Hz by appling to Fx-LMS.

Variation of γ-Oryzanol by Incorporation of Green Manure Crops in Korean Rice Cultivars

  • Kim, Heon-Woong;Lee, Sung-Hyeon;Lee, Young-Min;Jang, Hwan-Hee;Hwang, Kyung-A;Cho, Hyun-Suk;Lee, Jeong-Tae;Jeon, Weon-Tai;Kim, Jung-Bong
    • 한국토양비료학회지
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    • 제47권4호
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    • pp.275-283
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    • 2014
  • The ${\gamma}$-oryzanol, ferulic acid esters, which are well-known for their function on cholesterol lowering and prevention of inflammation, diabetes and cancer, are found in the seeds of cereal crops such as rice, corn, wheat and rye. Among them, rice has been reported to contain the highest ferulic acid esters. Since rice cultivation with green manure as a N source is an environmental friendly agricultural practice, it is necessary to identify and quantify as well as evaluate the variations in these compounds in rice samples as affected by different green manure conditions. A total of ten components of ${\gamma}$-oryzanol were isolated and cycloartenyl ferulate, 24-methylenecycloartanyl ferulate, campesteryl ferulate and sitosteryl ferulate were identified as the major components in Korean rice cultivars, 'Unkwang' and 'Hopum'. Comparing the ${\gamma}$-oryzanol contents of these varieties, 'Unkwang' showed clearly similar pattern with conventional type. With the PLS-DA (partial least squares of discriminant analysis) using SIMCA 11.0 ver., the specific pattern and cluster of ${\gamma}$-oryzanol scores with green manure conditions were confirmed, and thus distinguishing green manure effects were possible.

도로교통안전도 비교평가지수 산정연구 (Evaluation of the Highway Traffic Safety Exposure Measures)

  • 김기용;김원철;장명순
    • 대한교통학회지
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    • 제31권5호
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    • pp.26-36
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    • 2013
  • 지역단위 도로교통안전도에 대한 거시적 평가는 인구, 자동차대수, 도로연장 등의 거시적 노출변수(Macroscopic Exposure Measures)에 기반한 사고율을 노출지표로 이용하는 것이 일반적이나, 노출지표를 이용한 도로교통안전도 평가에 노출지표들이 미치는 영향이 각기 다르기 때문에 결과적으로 각각의 개별노출지표별 평가시 평가결과가 서로 상이하게 되는 문제가 있으며, 이는 예산투자의 효율적 집행을 위한 교통안전정책의 결정과정에 방해요인으로 작용하게 된다. 따라서 본 연구에서는 최소제곱법 및 가중치를 일정단위로 변화시키는 시뮬레이션을 이용하여 노출지표별 최적의 가중치를 도출하였으며, 이를 종합적으로 반영할 수 있는 도로교통안전도 비교평가지수 산정방법을 개발하였다. 지수를 구성하는 노출지표별 가중치는 인구당사고율이 0.29, 자동차등록대수당사고율이 0.52, 도로연장당 사고율이 0.19로 도출되었으며, 개발된 방법을 적용하여 전국 기초지자체별로 도로교통안전도 비교평가지수를 산정하였다. 본 연구에서 제시한 방법을 통해 노출지표별로 평가결과가 상이해지는 문제를 해결할 수 있으며, 교통안전예산의 투자효율성을 높이기 위한 교통안전정책의 합리적인 결정방법으로 활용될 수 있을 것으로 판단된다.

Two Crystal Structures of Dehydrated Sr$^{2+}$ and Tl$^+$ Exchanged Zeolite A, $Sr_xTl_{12-2x}$-A (x=1.6 and 5.45)

  • Jeong Weon Yang;Jong Yul Park;Un Sik Kim;Yang Kim
    • Bulletin of the Korean Chemical Society
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    • 제10권6호
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    • pp.582-585
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    • 1989
  • Two crystal structures of dehydrated $Sr^{2+}\;and\;Tl^+$ exchanged zeolite A, $Sr_xTl_{12-2x}-A$ (x = 1.6 and 5.45), have been determined by single-crystal X-ray diffraction techniques. Their structures were solved and refined in the cubic space group Pm3m at $21(1)^{\circ}C.$ Both crystals were ion exchanged in flowing streams of mixed $Sr(NO_3)_2\;and\;TlNO_3$ aqueous solution, followed by dehydration at $360^{\circ}C\; and\; 2${\times}$10^{-6}$ Torr for 2 days. Full-matrix least-squares refinements of the dehydrated $Sr_{1.6}Tl_{8.8}-A (a = 12.214(2){\AA})\; and\;Sr_{5.45}Tl{1.1}-A (a=12.291(2){\AA})$ have converged to final error indices, $R_1=0.055\; and\;R_2=0.061$ with 286 reflections, and R1 = 0.072 and R2 = 0.090 with 217 reflections, respectively, for which$\;I\;{>}\;3{\sigma}(I)$. In both structures, all Sr(II) ions are coordinated by three framework oxygens; Sr(II) to O(3) distances are $2.21(2){\AA}\;for\;Sr_{1.6}Tl_{8.8}-A \;and\;2.31(1){\AA} \;for\;Sr_{5.45}Tl_{1.1}-A,$and Tl(I) to O(3) distances are $2.657(6){\AA}\;for\;Sr_{1.6}Tl_{8.8}-A\;and\;2.845(8){\AA}\;for\;Sr_{5.45}Tl_{1.1}-A,$ respectively. In each structure, the angle subtended at Sr(II), O(3)-Sr(II)-O(3) is $118.7(4)^{\circ}\;for\; Sr_{1.6}Tl_{8.8}-A \;and\;120.0(4)^{\circ}\;for\;Sr_{5.45}Tl_{1.1}-A.\;Sr^{2+}$ ions prefer to 6-ring sites and $Tl^+$ ions to 8-ring sites when total number of ions per unit cell is more than 8.

Lunar Effect on Stock Returns and Volatility: An Empirical Study of Islamic Countries

  • MOHAMED YOUSOP, Nur Liyana;WAN ZAKARIA, Wan Mohd Farid;AHMAD, Zuraidah;RAMDHAN, Nur'Asyiqin;MOHD HASAN ABDULLAH, Norhasniza;RUSGIANTO, Sulistya
    • The Journal of Asian Finance, Economics and Business
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    • 제8권5호
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    • pp.533-542
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    • 2021
  • The main objective of this article is to investigate the existence of the lunar effect during the full moon period (FM period) and the new moon period (NM period) on the selected Islamic stock market returns and volatilities. For this purpose, the Ordinary Least Squares model, Autoregressive Conditional Heteroscedasticity model, Generalised Autoregressive Conditional Heteroscedasticity model and Generalised Autoregressive Conditional Heteroscedasticity-in-Mean model are employed using the mean daily returns data between January 2010 and December 2019. Next, the log-likelihood, Akaike Information Criterion and Schwarz Information Criterion value are analyzed to determine the best models for explaining the returns and volatility of returns. The empirical results have deduced that, during the NM period, excluding Malaysia, the total mean daily returns for all of the selected countries have increased mean daily returns in contrast to the mean daily returns during the FM period. The volatility shocks are intense and conditional volatility is persistent in all countries. Subsequently, the volatility behavior tends to have lower volatility during the FM period and NM period in the Islamic stock market, except Malaysia. This article also concluded that the ARCH (1) model is the preferred model for stock returns whereas GARCH-M (1, 1) is preferred for the volatility of returns.

Evaluation of benzene residue in edible oils using Fourier transform infrared (FTIR) spectroscopy

  • Joshi, Ritu;Cho, Byoung-Kwan;Lohumi, Santosh;Joshi, Rahul;Lee, Jayoung;Lee, Hoonsoo;Mo, Changyeun
    • 농업과학연구
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    • 제46권2호
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    • pp.257-271
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    • 2019
  • The use of food grade hexane (FGH) for edible oil extraction is responsible for the presence of benzene in the crude oil. Benzene is a Group 1 carcinogen and could pose a serious threat to the health of consumer. However, its detection still depends on classical methods using chromatography which requires a rapid non-destructive detection method. Hence, the aim of this study was to investigate the feasibility of using Fourier transform infrared (FTIR) spectroscopy combined with multivariate analysis to detect and quantify the benzene residue in edible oil (sesame and cottonseed oil). Oil samples were adulterated with varying quantities of benzene, and their FTIR spectra were acquired with an attenuated total reflectance (ATR) method. Optimal variables for a partial least-squares regression (PLSR) model were selected using the variable importance in projection (VIP) and the selectivity ratio (SR) methods. The developed PLS models with whole variables and the VIP- and SR-selected variables were validated against an independent data set which resulted in $R^2$ values of 0.95, 0.96, and 0.95 and standard error of prediction (SEP) values of 38.5, 33.7, and 41.7 mg/L, respectively. The proposed technique of FTIR combined with multivariate analysis and variable selection methods can detect benzene residuals in edible oils with the advantages of being fast and simple and thus, can replace the conventional methods used for the same purpose.