• Journal of Biosystems Engineering
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• 제36권1호
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• pp.33-39
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• 2011

An optical sensing approach based on diffuse reflectance has shown potential for rapid and reliable on-site estimation of soil properties. Important sensing ranges and the resulting regression models useful for soil property estimation have been reported. In this study, a similar approach was applied to investigate the potential of reflectance sensing in estimating soil properties for Korean paddy fields. Soil cores up to a 65-cm depth were collected from 42 paddy fields representing 14 distinct soil series that account for 74% of the total Korean paddy field area. These were analyzed in the laboratory for several important physical and chemical properties. Using air-dried, sieved soil samples, reflectance data were obtained from 350 to 2500 nm on a 3 nm sampling interval with a laboratory spectrometer. Calibrations were developed using partial least squares (PLS) regression, and wavelength bands important for estimating the measured soil properties were identified. PLS regression provided good estimations of Mg ($R^2$ = 0.80), Ca ($R^2$ = 0.77), and total C ($R^2$ = 0.92); fair estimations of pH, EC, $P_2O_5$, K, Na, sand, silt, and clay ($R^2$ = 0.59 to 0.72); and poor estimation of total N. Many wavelengths selected for estimation of the soil properties were identical or similar for multiple soil properties. More important wavelengths were selected in the visible-short NIR range (350-1000 nm) and the long NIR range (1800-2500 nm) than in the intermediate NIR range (1000-1800 nm). These results will be useful for design and application of in-situ close range sensors for paddy field soil properties.

• Journal of Biosystems Engineering
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• 제42권4호
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• pp.301-313
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• 2017

Purpose: This study was conducted to discriminate between normal hulled barley and Fusarium (Fusarium asiaticum and Fusarium graminearum) infected hulled barley by using the near-infrared spectroscopy (NIRS) technique. Methods: Fusarium asiaticum and Fusarium graminearum were artificially inoculated in hulled barley and the reflectance spectrum of the barley spike was obtained by using a near-infrared spectral sensor with wavelength band in the range 1,175-2,170 nm. After obtaining the spectrum of the specimen, the hulled barley was cultivated in a greenhouse and visually inspected for infections. Results: From a partial least squares discriminant analysis (PLS-DA) prediction model developed from the raw spectrum data of the hulled barley, the discrimination accuracy for the normal and infected hulled barley was 99.82% (563/564) and 100% (672/672), respectively. Conclusions: NIRS is effective as a quick and nondestructive method to detect whether hulled barley has been infected with Fusarium. Further, it expected that NIRS will be able to detect Fusarium infections in other grains as well.

• 한국초지조사료학회지
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• 제33권3호
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• pp.177-184
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• 2013

This work was conducted to assess the use of Near-infrared reflectance spectroscopy (NIRS) as a technique to analyze nutritional constituents of Distillers dried grain with solubles (DDGS) and corn quickly and accurately, and to apply an NIRS-based indium gallium arsenide array detector, rather than a NIRS-based scanning system, to collect spectra and induce and analyze calibration equations using equipment which is better suited to field application. As a technique to induce calibration equations, Partial Least Squares (PLS) was used, and for better accuracy, various mathematical transformations were applied. A multivariate outlier detection method was applied to induce calibration equations, and, as a result, the way of structuring a calibration set significantly affected prediction accuracy. The prediction of nutritional constituents of distillers dried grains with solubles resulted in the following: moisture ($R^2$=0.80), crude protein ($R^2$=0.71), crude fat ($R^2$=0.80), crude fiber ($R^2$=0.32), and crude ash ($R^2$=0.72). All constituents except crude fiber showed good results. The prediction of nutritional constituents of corn resulted in the following: moisture ($R^2$=0.79), crude protein ($R^2$=0.61), crude fat ($R^2$=0.79), crude fiber ($R^2$=0.63), and crude ash ($R^2$=0.75). Therefore, all constituents except for crude fat and crude fiber were predicted for their chemical composition of DDGS and corn through Near-infrared reflectance spectroscopy.

• Journal of Ginseng Research
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• 제37권2호
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• pp.248-253
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• 2013

Leaves from Panax ginseng Meyer (Korean origin and Chinese origin of Korean ginseng) and P. quinquefolius (American ginseng) were harvested in Haenam province, Korea, and were analyzed to investigate patterns in major metabolites using HPLC-based metabolic profiling. Partial least squares discriminant analysis (PLS-DA) was used to analyze the the HPLC chromatogram data. There was a clear separation between Panax species and/or origins from different countries in the PLS-DA score plots. The ginsenoside compounds of Rg1, Re, Rg2, Rb2, Rb3, and Rd in Korean leaves were higher than in Chinese and American ginseng leaves, and the Rb1 level in P. quinquefolius leaves was higher than in P. ginseng (Korean origin or Chinese origin). HPLC chromatogram data coupled with multivariate statistical analysis can be used to profile the metabolite content and undertake quality control of Panax products.

• 대한화학회지
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• 제65권4호
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• pp.254-259
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• 2021

The purpose of this work is the development of a method for an effective, less expensive, rapid, and simultaneous determination of three phenolic compounds (caffeic acid, gallic acid, and quercetin) widely present in food resources and known for their antioxidant powers. The method relies on partial least squares (PLS) calibration of UV-visible spectroscopic data. This model was applied to simultaneously determine, the concentrations of caffeic acid (CA), gallic acid (GA), and quercetin (Q) in six herb infusion extracts: basil, chive, laurel, mint, parsley, and thyme. A wavelength range (250-400) nm, and an experimental calibration matrix with 21 samples of ternary mixtures composed of CA (6.0-21.0 mg/L), GA (10.0-35.2 mg/L), and Q (6.4-17.5 mg/L) were chosen. Spectroscopic data were mean-centered before calibration. Two latent variables were determined using the contiguous block cross-validation procedure after calculating the root mean square error cross-validation RMSECV. Other statistic parameters: RMSEP, R², and Recovery (%) were used to determine the predictive ability of the model. The results obtained demonstrated that UV-visible spectrometry and PLS regression were successfully applied to simultaneously quantify the three phenolic compounds in synthetic ternary mixtures. Moreover, the concentrations of CA, GA and Q in herb infusion extracts were easily predicted and found to be 3.918-18.055, 9.014-23.825, and 9.040-13.350 mg/g of dry sample, respectively.

• 한국자원식물학회지
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• 제31권6호
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• pp.641-651
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• 2018

Floral scents and metabolites from cut flowers of 14 peony cultivars (Paeonia lactiflora Pall.) were analyzed to discriminate different cultivars and to compare the Korean cultivar with the other cut peonies imported to Korea using electronic nose (E-nose) and Fourier transform infrared (FT-IR) spectroscopy combined with multivariate analysis, respectively. Principal component analysis (PCA) and discriminant function analysis (DFA) dendrogram of peony floral scents were not precisely same but there were 3 groups including same cultivars. PCA and partial least squares-discriminant analysis (PLS-DA) dendrograms of peony metabolites showed that different cut peony cultivars were clustered into two major groups including same cultivars. Fragrance pattern of Korean 'Taebaek' was classified to same group with 'Jubilee' on the PCA and DFA results and its metabolite pattern was clearly discriminated by the PCA and PLS-DA compared to the other cultivars. These results show that the 14 peony cut flowers could be discriminated corresponding to their chemical relationship and the metabolic profile of Korean 'Taebaek' has distinctive characteristics. Furthermore, we suggest that these results could be used as the preliminary data for breeding new cut peony cultivars and for improving the availability of Korean cut peony in cosmetic industry.

• 융합정보논문지
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• 제11권4호
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• pp.35-45
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• 2021

모바일 또는 웹을 활용한 e-커머스 산업은 빠른 성장세에 있으며, 다양한 플랫폼 서비스 출현으로 e-커머스 산업은 혁신적인 변화를 일으키고 있다. 본 연구는 e-커머스 이용자들의 애착유형요인들에 대해 파악하고 이들 요인이 지각된 사용용이성과 지각된 유용성에 기반한 기술수용모형(Technology Acceptance Model)에 얼마만큼의 영향을 미치는지와 수용의도 간의 인과관계를 실증 연구함으로써 e-커머스 서비스에서 효과적이고 효율적인 발전방안을 제시하고자 한다. 본 연구의 연구모형을 실증적으로 검증하기 위해 e-커머스를 이용한 경험이 있는 일반인들을 대상으로 설문조사를 실시하였으며 PLS(Partial Least Squares)를 활용한 내적 일관성, 확인적 요인분석, 판별 타당성, 적합도 검증을 통해 경로분석을 실시하였다. 그 결과, 지각된 안정과 지각된 유용성 및 지각된 사용용이성 간의 유의미한 인과관계를 확인해 볼 수 있었으며 TAM과 수용의도와의 연관성을 검증해 볼 수 있었다.

• 한국컴퓨터정보학회논문지
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• 제24권10호
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• pp.101-116
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• 2019

본 논문에서 우리는 비자발적 사용 환경 하에서 전장관리시스템의 사용을 보다 효과적으로 설명할 수 있는 새로운 행동모형을 제안한다. 본 연구에서는 통합기술수용모형(UTAUT)에 기반하여 군 전장관리체계의 사용에 영향을 미치는 요인들을 분석한다. 특히 본 연구에서는 종속변수로 '전장관리체계에 대한 능동적 사용'이라는 새로운 변수를 제안함으로써, 비자발적 기술수용 환경을 고려하고자 하였다. 여기에 통합기술수용모형을 구성하는 독립변인들에 영향을 미치는 선행요인들을 기술-조직-환경의 관점에서 제시하고, 이들이 실제로 어떤 영향을 미치는지 살펴보고자 하였다. 제안모형을 검증하기 위해 본 연구에서는 군 관계자들로부터 설문을 수집하고, 이를 구조방정식 모형 중 하나인 PLS 기법으로 분석하였다. 본 연구의 결과는 군 전장관리체계의 효과성을 제고하는데 일조할 수 있을 것으로 기대된다.

• 대한치과교정학회지
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• 제53권3호
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• pp.185-193
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• 2023

Objective: The growth and development of the mandible strongly depend on modeling changes occurring at its ramus. Here, we investigated covariance patterns between the morphology of the ramus and the rest of the face. Methods: Lateral cephalograms of 159 adults (55 males and 104 females) with no history of orthodontic treatment were collected. Geometric morphometrics with sliding semi-landmarks was used. The covariance between the ramus and face was investigated using a two-block partial least squares analysis (PLS). Sexual dimorphism and allometry were also assessed. Results: Differences in the divergence of the face and anteroposterior relationship of the jaws accounted for 24.1% and 21.6% of shape variation in the sample, respectively. Shape variation was greater in the sagittal plane for males than for females (30.7% vs. 17.4%), whereas variation in the vertical plane was similar for both sexes (23.7% for males and 25.4% for females). Size-related allometric differences between the sexes accounted for the shape variation to a maximum of 6% regarding the face. Regarding the covariation between the shapes of the ramus and the rest of the face, wider and shorter rami were associated with a decreased lower anterior facial height as well as a prognathic mandible and maxilla (PLS 1, 45.5% of the covariance). Additionally, a more posteriorly inclined ramus in the lower region was correlated with a Class II pattern and flat mandibular plane. Conclusions: The width, height, and inclination of the ramus were correlated with facial shape changes in the vertical and sagittal planes.

• 무역학회지
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• 제42권2호
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• pp.117-143
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• 2017

본 연구는 수출벤처기업을 대상으로 기업가적 지향성, 흡수능력, 전략적 능력 및 기업성과간의 관계를 밝히는데 연구목적이 있다. 기존 선행연구를 기초로 기업가적 지향성, 흡수능력, 전략적 능력 및 기업성과간의 관계를 가설로 설정하였고, 이를 검정하기 위해 필요한 자료는 설문조사를 통해 수집하였다. 본 연구모델 검정에는 구조방정식모델인 PLS분석방법을 활용하였다. 실증분석 결과에서 다음과 같은 결과가 도출되었다. 첫째, 기업가적 지향성은 흡수능력에 유의적인 정의 영향을 미치는 것으로 나타났다. 둘째, 기업가적 지향성은 전략적 능력인 기술능력, 마케팅능력 및 시장연계능력에 각각 유의적인 정의 영향을 미치는 것으로 나타났다. 셋째, 흡수능력은 기술능력, 마케팅능력 및 시장연계능력에 각각 유의적인 정의 영향을 미치는 것으로 나타났다. 넷째, 전략적 능력 중에서 기술능력과 마케팅능력은 기업성과에 각각 유의적인 정의 영향을 미치는 것으로 나타났다. 반면, 시장연계능력은 기업성과에 유의적인 영향을 미치지 못하는 것으로 나타났다.