• 치위생과학회지
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• 제17권2호
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• pp.116-122
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• 2017

본 연구는 QLF-D를 이용하여 와동 내벽에 형성된 초기 이차우식증을 탐지가 가능한지 평가해보고, 표면에서 관찰한 우식병소와 실제 와동 내벽에 발생한 병소 간에 차이가 있는지 확인해보고자 시행하였으며, 다음과 같은 결과를 얻었다. 시간의 흐름에 따라 시편의 표면에서 관찰되는 이차우식병소가 점점 진행되었다. 수복물 변연의 우식병소 부분이 수복물에 가려지거나 형광에 의해 우식부분을 육안으로 판단하기에 어려운 부분들이 보였으며, 수복물이 있는 경우의 ${\Delta}F$값은 $-14.20{\pm}3.24$, 와동만 있는 경우의 ${\Delta}F$값은 $-11.56{\pm}3.94$ 로 수복물이 있는 경우의 ${\Delta}F$값이 유의하게 높게 나타났다(p<0.001). 또한 수복한 표면에서 측정한 병소의 ${\Delta}F$값은 $-14.20{\pm}3.24$, 횡단면에서 측정한 병소의 ${\Delta}F$값은 $-18.64{\pm}3.75$로 횡단면보다 표면에서 측정한 병소의 ${\Delta}F$값이 약 1.31배 가량 유의하게 크게 나타났으며, correlation은 0.026으로 낮게 나타났다(p<0.001). 하지만 수복하지 않은 표면과 횡단면의 ${\Delta}F$값 간의 correlation값은 0.613으로 높게 나타났다. 이를 통해 QLF-D를 이용하여 표면에서도 이차우식병소의 탐지가 가능하다는 것을 알 수 있었다. 다만, 수복물에 의한 간섭이 있을 수 있고, 병소의 특성상 실제 병소의 심도보다 적게 측정될 수 있으므로 이에 대한 고려를 통한 탐지가 이루어져야 할 것이다.

• 한국산학기술학회논문지
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• 제22권4호
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• pp.430-440
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• 2021

본 연구는 난청 고령자의 우울정도, 인지기능, 의사소통능력 및 정량뇌파를 분석하고, 관련성을 규명할 목적으로 시도하였다. Y 시 소재의 S 청능재활 센터를 내원한 60세 이상의 난청 고령자 중 모집공고문을 통해 남성 37명, 여성 26명이 2020년 6월 20일부터 2020년 9월 3일까지 자발적으로 참여했다. 구조화된 설문지를 통해 대상자의 전반적인 특성, 우울정도, 인지기능을 평가하였다. 의사소통능력의 척도인 단어인지도는 한국표준 단음절어를 사용하여 진단용 청력검사기로 평가하였다. 정량뇌파는 전전두엽 Fp1과 Fp2에 건식 전극을 사용하여 2채널 뇌파 측정기로 측정하였다. 수집된 자료는 SPSS/WIN 25.0 프로그램으로 인구 사회학적 특성 파악을 위한 빈도분석, 변수간 Pearson's correlation분석, 3분할 집단 간 One-way ANOVA분석을 하였다. 결과를 요약하면 다음과 같다. 의사소통능력은 전전두엽 좌우 대칭성(**p<.01)과 정(+)적 상관관계를 보였고, 우뇌 정신적 산만 및 스트레스(*p<.05)와 부(-)적 상관관계를 보였다. 그러나 우울정도와 인지기능과는 유의한 상관관계는 없었다. 의사소통능력에 따른 3분할 집단별 차이 검정에서도 전전두엽 좌우 대칭성(**p<.01)이 우울정도와 인지능력보다 높은 수준의 상관관계를 보였다. 이상의 결과는 정량뇌파에서 측정된 전전두엽 좌우 대칭성이 난청 고령자의 의사소통능력의 강력한 생체적 지표 가능성을 시사 하였다.

• 한국컴퓨터정보학회논문지
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• 제22권7호
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• pp.47-54
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• 2017

Recently, correlation filter based trackers have shown excellent tracking performance and computational efficiency. In order to enhance tracking performance in the correlation filter based tracker, search area which is image patch for finding target must include target. In this paper, two methods to discriminatively represent target in the search area are proposed. Firstly, search area location is estimated using pyramidal Lucas-Kanade algorithm. By estimating search area location before filtering, fast motion target can be included in the search area. Secondly, we investigate multi-channel Local Edge Pattern(LEP) which is insensitive to illumination and noise variation. Qualitative and quantitative experiments are performed with eight dataset, which includes ground truth. In comparison with method without search area estimation, our approach retain tracking for the fast motion target. Additionally, the proposed multi-channel LEP improves discriminative performance compare to existing features.

• Journal of the Optical Society of Korea
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• 제20권6호
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• pp.694-697
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• 2016

Up-converted phase noise, which is induced by the low-frequency relative intensity noise (RIN) of a laser through AM-PM conversion within a photodetector (PD), is first measured here by means of a cross-correlation method. Our proposed measurement system can isolate the RIN-induced phase noise from noise contributions of other components, such as amplifiers, modulators, and mixers. In particular, shot noise and thermal noise generated from the PD are also suppressed by this method, so that standalone characteristics of the RIN-induced phase noise can be obtained. Experimental results clearly show the quantitative relationship between the RIN-induced phase noise and the incident optical power of the PD. Our findings indicate that the least RIN-induced phase noise appeared at the saturation point of the PD, which is about -162 dBc/Hz at 10 kHz offset.

• 보건의료산업학회지
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• 제7권2호
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• pp.125-134
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• 2013

The purpose of this study was to identify the influencing factors of college adjustment in nursing students. A quantitative descriptive design was used to study 400 nursing students in Busan and Ulsan, recruited from May 1 to 30, 2011. The instruments used were the clinical stress scale, stress coping scale and college adjustment problem checklist. The data were analysed SPSS program, using descriptive statistics, Pearson correlation coefficient, and simultaneous multiple regression. Findings of the study can be summarized as follows; First, the average of clinical stress was 3.68 points, the problem-solving coping was 2.85 points, the emotional-focused coping was 2.48 points, and college adjustment was 3.03 points. Second, The correlation of the clinical stress and college adjustment relations showed negative correlation in all areas. The correlation of problem-solving and emotional-focused coping and college adjustment showed positive correlation. Third, The significant predictors of college adjustment were satisfaction in major, psychological factors, problem-solving coping, perceived health status, emotional-focused coping, knowledge, skills, assignment/reports. These variables showed explanatory power of 43.2%. The study suggested to help reduce clinical stress and to strengthen problem-solving coping for college adjustment in nursing students.

• 한국자기공명학회논문지
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• 제16권1호
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• pp.46-66
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• 2012

Metabolomic studies using human urine have shown that human metabolism is altered by a variety of environmental, cultural, and physiological factors. Comprehensive information about normal human metabolite profiles is necessary for accurate clinical diagnosis of disease and for disease prevention and treatment. In this study, metabolite correlation analyses, using $^1H$ nuclear magnetic resonance (NMR) spectroscopy coupled with multivariate statistics, were performed on human urine to compare metabolic differences based on gender and/or obesity in healthy human subjects. First, we applied partial least squares discriminant analysis to the NMR spectral data set to verify the data's ability to discriminate by gender and obesity. Then, the differences in metabolite-metabolite correlation between male and female, and between normal and high body mass index (obese) subjects were investigated through pairwise correlations. Creatine and several metabolites, including isoleucine, trans-aconitate, and trimethylamine N-oxide (TMAO), exhibited different quantitative relationships depending on gender. Dimethylamine had a different correlation with glycine and TMAO, based on gender. The correlation of TMAO with amino acids was considerably lower in obese, compared to normal, subjects. We expect that the results will shed light on the metabolic pathways of healthy humans and will assist in the accurate diagnosis of human disease.

• 한국임상수의학회지
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• 제27권4호
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• pp.427-434
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• 2010

Correlation is a technique used to measure the strength or the degree of closeness of the linear association between two quantitative variables. Common misuses of this technique are highlighted. Linear regression is a technique used to identify a relationship between two continuous variables in mathematical equations, which could be used for comparison or estimation purposes. Specifically, regression analysis can provide answers for questions such as how much does one variable change for a given change in the other, how accurately can the value of one variable be predicted from the knowledge of the other. Regression does not give any indication of how good the association is while correlation provides a measure of how well a least-squares regression line fits the given set of data. The better the correlation, the closer the data points are to the regression line. In this tutorial article, the process of obtaining a linear regression relationship for a given set of bivariate data was described. The least square method to obtain the line which minimizes the total error between the data points and the regression line was employed and illustrated. The coefficient of determination, the ratio of the explained variation of the values of the independent variable to total variation, was described. Finally, the process of calculating confidence and prediction interval was reviewed and demonstrated.

• 한국자원식물학회:학술대회논문집
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• 한국자원식물학회 2023년도 임시총회 및 춘계학술대회
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• pp.31-31
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• 2023

Mung bean(Vigna radiata (L.) R. Wilczek var. radiata) is a legume that originated in India. It is the third most cultivated legume in Korea after soybean and adzuki bean. Recently, the use of mung bean seeds and sprouts in trendy foods such as rice noodles and Chinese-style stir-fry is expanding thereby increasing its demand. Subsequently, improvement of mung bean varieties is also being actively conducted. In this study, the important agricultural characteristics of 324 mung bean germplasm were recorded and statistically investigated. Seeds of the mung bean germplasm were cultivated at an experimental field located in the National Agrobiodiversity Center (Jeonju, Korea) and 10 quantitative agricultural traits were investigated. Basic statistics, correlation analysis, and principal component analysis were then performed. The results showed significant variations of the quantitative traits among the germplasms (p < 0.05). The days to flowering, maturity, and growth were in the ranges of 31~80, 22~72, and 57~110 days with means of 45, 47, and 92 days, respectively. The highest frequency (f = 192) was for lodging score with 11~50%, while simultaneous maturity (f = 182) was below 50%. Other quantitative traits related to yield including the number of seeds per pod (CV = 10.9%), number of pods per plant (CV = 41.2%), and one-hundred seeds weight (CV = 36.6%) also showed significant variations. Correlation analysis showed positive correlations between the days to maturity and one-hundred seeds weight (r = 0.41) and the days to growth and simultaneous maturity (r = 0.39). In contrast, one-hundred seeds weight was negatively correlated to the number of pods per plant (r = -0.41) and the days to flowering (r = -0.29). Similarly, the days to growth and the number of pods per plant had a negative association with each other (r = -0.29). The principal component analysis revealed the number of days to maturity as the most influential variable along the first principal component (23.7%). In general, this study revealed wide variations in quantitative traits among the studied mung bean germplasm, which could provide several options for cultivar development.

• Korean Journal of Radiology
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• 제22권7호
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• pp.1077-1086
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• 2021

Objective: To investigate the diagnostic performance of quantitative ultrasound (US) parameters for the assessment of hepatic steatosis in patients with nonalcoholic fatty liver disease (NAFLD) using magnetic resonance imaging proton density fat fraction (MRI-PDFF) as the reference standard. Materials and Methods: In this single-center prospective study, 120 patients with clinically suspected NAFLD were enrolled between March 2019 and January 2020. The participants underwent US examination for radiofrequency (RF) data acquisition and chemical shift-encoded liver MRI for PDFF measurement. Using the RF data analysis, the attenuation coefficient (AC) based on tissue attenuation imaging (TAI) (AC-TAI) and scatter-distribution coefficient (SC) based on tissue scatter-distribution imaging (TSI) (SC-TSI) were measured. The correlations between the quantitative US parameters (AC and SC) and MRI-PDFF were evaluated using Pearson correlation coefficients. The diagnostic performance of AC-TAI and SC-TSI for detecting hepatic fat contents of ≥ 5% (MRI-PDFF ≥ 5%) and ≥ 10% (MRI-PDFF ≥ 10%) were assessed using receiver operating characteristic (ROC) analysis. The significant clinical or imaging factors associated with AC and SC were analyzed using linear regression analysis. Results: The participants were classified based on MRI-PDFF: < 5% (n = 38), 5-10% (n = 23), and ≥ 10% (n = 59). AC-TAI and SC-TSI were significantly correlated with MRI-PDFF (r = 0.659 and 0.727, p < 0.001 for both). For detecting hepatic fat contents of ≥ 5% and ≥ 10%, the areas under the ROC curves of AC-TAI were 0.861 (95% confidence interval [CI]: 0.786-0.918) and 0.835 (95% CI: 0.757-0.897), and those of SC-TSI were 0.964 (95% CI: 0.913-0.989) and 0.935 (95% CI: 0.875-0.972), respectively. Multivariable linear regression analysis showed that MRI-PDFF was an independent determinant of AC-TAI and SC-TSI. Conclusion: AC-TAI and SC-TSI derived from quantitative US RF data analysis yielded a good correlation with MRI-PDFF and provided good performance for detecting hepatic steatosis and assessing its severity in NAFLD.

• 대한인간공학회지
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• 제31권6호
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• pp.785-791
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• 2012

Objective: The aim of this study was to investigate the correlation between 3D visual fatigue and physiological measures by canonical correlation analysis enabling to categorical correlation. Background: Few studies have been conducted to investigate the physiological mechanism underlying the visual fatigue caused by processing 3D information which may make the cognitive mechanism overloaded. However, even the previous studies lack validation in terms of the correlation between physiological variables and the visual fatigue. Method: 9 Female and 6 male subjects with a mean age of $22.53{\pm}2.55$ voluntarily participated in this experiment. All participants were asked to report how they felt about their health sate at after viewing 3D. In addition, Low & Hybrid measurement test(Event Related Potential, Steady-state Visual Evoked Potential) and for evaluating cognitive fatigue before and after viewing 3D were performed. The physiological signal were measured with subjective fatigue evaluation before and after in watching the 3D content. For this study suggesting categorical correlation, all measures were categorized into three sets such as included Visual Fatigue set(response time, subjective evaluation), Autonomic Nervous System set(PPG frequency, PPG amplitude, HF/LF ratio), Central Nervous System set(ERP amplitude P4, O1, O2, ERP latency P4, O1, O2, SSVEP S/N ratio P4, O1, O2). Then the correlation of three variables sets, canonical correlation analysis was conducted. Results: The results showed a significant correlation between visual fatigue and physiological measures. However, different variables of visual fatigue were highly correlated to respective HF/LF ratio and to ERP latency(O2). Conclusion: Response time was highly correlated to ERP latency(O2) while the subjective evaluation was to HF/LF ratio. Application: This study may provide the most significant variables for the quantitative evaluation of visual fatigue using HF/LF ratio and ERP latency based human performance and subjective fatigue.