• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.4112-4112
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• 2001

The feasibility of NIR spectroscopy as a quick and nondestructive method for quality control of uniformity of coating thickness of pharmaceutical tablets was investigated. Near infrared spectra of a set of pharmaceutical tablets with varying coating thickness were measured with a diffuse reflectance fiber optic probe connected to a Broker IFS 28/N FT-NIR spectrometer. The challenging issues encountered in this study included: 1. The similarity of the formulation of the core and coating materials, 2. The lack of sufficient calibration samples and 3. The non-linear relationship between the NIR spectral intensity and coating: thickness. A peak at 7184 $cm^{-1}$ was identified that differed for the coating material and the core material when M spectra were collected at 2 $cm^{-1}$ resolution (0.4 nm at 7184 $cm^{-1}$). The study showed that the coating thickness can be analyzed by polynomial fitting of the peak area of the selected peak, while least squares calibration of the same data failed due to the lack of availability of sufficient calibration samples. Samples of coal powder and solid pieces of coal were analyzed by FT-NIR diffuse reflectance spectroscopy with the goal of predicting their ash content, percentage of volatile components, and energy content. The measurements were performed on a Broker Vector 22N spectrometer with a fiber optic probe. A partial least squares model was constructed for each of the parameters of interest for solid and powdered sample forms separately. Calibration models varied in size from 4 to 10 PLS ranks. Correlation coefficients for these models ranged from 86.6 to 95.0%, with root-mean-square errors of cross validation comparable to the corresponding reference measurement methods. The use of FT-NIR diffuse reflectance measurement techniques was found to be a significant improvement over existing measurement methodologies in terms of speed and ease of use, while maintaining the desired accuracy for all parameters and sample forms.(Figure Omitted).

• 전기학회논문지
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• 제58권4호
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• pp.867-872
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• 2009

Peak expiratory flow rate(PEF) is one of the most important diagnostic parameters in spirometry. PEF occurs in a very short duration during the forced expiratory maneuver, which could lead to measurement error due to non-ideal dynamic characteristic of the transducer. In such case the initial slope of the flow rate signal determines the accuracy of the measured PEF. The present study considered this initial slope as a parameter to compensate PEF. The 26 standard flow rate signals recommended by the American Thoracic Society(ATS) were flown through the air flow transducer followed by simultaneous measurements of PEF and maximum transducer output$(N_{PEF})$. $N_{PEF}$-PEF satisfied a quadratic equation in general, however, two signals (ATS #2 and #26) having large initial slopes deviated from the fitting equation to a significant degree. The relative error was found to be in a linear relationship with the initial slope, thus, $N_{PEF}$ was appropriately compensated to provide accurate PEF with mean relative error less than only 1%. The 99% confidence interval of the mean relative error was less than a half of the error limit of 5% recommended by ATS. Therefore, PEF can be very accurately determined by compensating the transducer output based on the initial slope, which should be a useful technique for air flow transducer calibration.

• 정보과학회 논문지
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• 제44권4호
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• pp.392-398
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• 2017

포인트 클라우드를 이용한 물체의 표현은 레이저 스캐너를 통해 공간을 스캔하여 점의 집합을 추출하고, 정합(Registration)을 통해 하나의 좌표계로 통합하는 과정을 거쳐 이루어진다. 정합이 완료된 포인트 클라우드 집합은 수학적 해석을 통해 의미 있는 영역, 형태, 잡음 등으로 분류되어 쓰이게 된다. 본 논문은 3차원 포인트 클라우드 데이터에서 실린더 형태의 굽은 영역 매칭을 목표로 한다. 매칭 절차는 포인트 클라우드에서 RANdom SAmple Consensus(RANSAC)을 통한 구(sphere) 적합(fitting)으로 실린더 형태의 점 후보군을 추출하여 중심과 반지름 데이터를 얻고, 추출된 중심점 데이터에서 주성분 분석(Principal Component Analysis)을 통해 굽은 영역인지 판별한 후 캣멀롬 스플라인(Catmull-Rom spline)으로 굽은 영역 매칭을 완료한다. 제안된 방법은 제약조건 및 분할 없이 중심축 추정에 이은 직선 및 굽은 형태의 실린더 추정으로 비교적 빠른 추정결과를 도출하고, 역설계의 작업효율을 높일 수 있을 것으로 기대된다.

• 한국의학물리학회지:의학물리
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• 제6권2호
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• pp.35-40
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• 1995

목적 : 필름배지를 이용하여 개인 피폭 선량을 측정하는 방법을 개발하고 그 특성을 알아보고자 한다. 재료 및 방법 : 필름으로는 Agfagaevart Personal monitoring 2/10 을 사용하였고, 필터로는 구리 0.3mm, 플라스틱 1.5mm, 알루미늄 0.6mm, 주석 0.8mm를 사용하였으며, 필름은 표준기관에서 교정하였다. 사용에너지는 ANSI N13.11 Category III, IV였고, 현상기는 수동현상기를, 농도계는 Xrite 농도계를 사용하였다. H＆D 곡선을 선량에 따라 구한 뒤 다항식 전개를 이용하여 선량에 대해 직선성을 갖도록 변환하였다. 이후 필터와 방사선 에너지 관계를 구하여 선량 및 에너지를 추정할 수 있는 알고리즘을 개발하였다. 결과 : 본 연구에서 개발된 선량 평가 알고리즘은 해당 Category 의 전에너지에 대해 30% 이내의 정확도를 만족시켜 이 알고리즘이 개인 피폭 선량 측정에 이용될 수 있음을 알았다. Category I, II , V에 대하여 보완한다면 완벽한 선량 평가 알고리즘이 될 것으로 기대된다.

• 한국작물학회지
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• 제50권4호
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• pp.268-275
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• 2005

Early predictions of crop yields call provide information to producers to take advantages of opportunities into market places, to assess national food security, and to provide early food shortage warning. The objectives of this study were to identify the most useful parameters for estimating yields and to compare two model selection methods for finding the 'best' model developed by multiple linear regression. This research was conducted in two 65ha corn/soybean rotation fields located in east central South Dakota. Data used to develop models were small temporal variability information (STVI: elevation, apparent electrical conductivity $(EC_a)$, slope), large temporal variability information (LTVI : inorganic N, Olsen P, soil moisture), and remote sensing information (green, red, and NIR bands and normalized difference vegetation index (NDVI), green normalized difference vegetation index (GDVI)). Second order Akaike's Information Criterion (AICc) and Stepwise multiple regression were used to develop the best-fitting equations in each system (information groups). The models with $\Delta_i\leq2$ were selected and 22 and 37 models were selected at Moody and Brookings, respectively. Based on the results, the most useful variables to estimate corn yield were different in each field. Elevation and $EC_a$ were consistently the most useful variables in both fields and most of the systems. Model selection was different in each field. Different number of variables were selected in different fields. These results might be contributed to different landscapes and management histories of the study fields. The most common variables selected by AICc and Stepwise were different. In validation, Stepwise was slightly better than AICc at Moody and at Brookings AICc was slightly better than Stepwise. Results suggest that the Alec approach can be used to identify the most useful information and select the 'best' yield models for production fields.

• 한국수산과학회지
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• 제38권4호
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• pp.265-275
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• 2005

A prerequisite for deriving the abundance estimates from acoustic surveys for commercially important fish species is the identification of target strength measurements for selected fish species. In relation to these needs, the goal of this study was to construct a data bank for converting the acoustic measurements of target strength to biological estimates of fish length and to simultaneously obtain the target strength-fish length relationship. Laboratory measurements of target strength on 15 commercially important fish species were carried out at five frequencies of 50, 70, 75, 120 and 200 kHz by single and split beam methods under the controlled conditions of the fresh and the sea water tanks with the 389 samples of dead and live fishes. The target strength pattern on individual fish of each species was measured as a function of tilt angle, ranging from $-45^{\circ}$ (head down aspect) to $+45^{\circ}$ (head up aspect) in $0.2^{\circ}$ intervals, and the averaged target strength was estimated by assuming the tilt angle distribution as N $(-5.0^{\circ},\;15.0^{\circ})$. The TS to fish length relationship for each species was independently derived by a least-squares fitting procedure. Also, a linear regression analysis for all species was performed to reduce the data to a set of empirical equations showing the variation of target strength to a fish length, wavelength and fish species. For four of the frequencies (50, 75, 120 and 200 kHz), an empirical model for fish target strength (TS, dB) averaged over the dorsal sapect of 602 fishes of 10 species and which spans the fish length (L, m) to wavelength (\Lambda,\;m)$ ratio between 5 and 73 was derived: $TS=19.44\;Log(L)+0.56\;Log(\Lambda)-30.9,\;(r^2=0.53)$.

• 한국지반신소재학회논문집
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• 제10권2호
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• pp.21-28
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• 2011

지반의 대표적 동적 물성치중 하나인 감쇠비를 구하기 위한 여러 이론적 비선형모델이 개발되어 왔으나 실제 측정된 감쇠비를 정확히 예측하기는 불가능하다. 공진주/비틂전단 시험기는 미소변형율에서 중간변형율까지 흙의 동적 거동을 표현하는데 자주 이용되어 왔다. 공진주/비틂전단 시험기의 단점중의 하나는 측정된 감쇠비에 상응하는 변형율 산정법이 복잡하다는 것이다. 이를 해결하기 위하여 수정쌍곡선 모델과 Ramberg-Osgood모델을 사용하여 수정등가반경법을 도입하여 보다 정확한 변형율을 계산하였다. 유타지역에서 채취된 시료를 이용하여 공진주/비틂전단 시험기로 측정된 비틂력-비틂각을 이론적 비틂력-비틂각과 비교하고, 맞춤곡선법을 사용하여 각 비선형모델의 매개변수를 구하였으며 적합모델별 매개변수에서의 등가반경을 산정하였다.

• 한국해양공학회지
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• 제23권5호
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• pp.45-53
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• 2009

In this study, Finite Element Analysis (FEA) was used to decide three kinds of material property of vibration proof rubber with the unique characteristic of non-linear and large deformation. As well, three types of hardness (Hs 50, 55, 60) were compared with the result of fatigue tests, fatigue life was able to be predicted. The request for fatigue life becomes strict more and more as increasing stress under conditions like a compaction, high load and high temperature for parts because it is main characteristics of rubber mount for automotive. Regarding to the fatigue life under dynamic deformation condition, it can be predicted as checking forced deformation extends and its frequency and its strain-life curve. As for material property tests of uniaxial tension test, uniaxial compression test, pure shear test, Ogden model was used for FEA by observing relations between stress and strain's rate as curve fitting. As a result of FEA, fatigue life for rubber mount was predicted and accorded well with the experimental data of fatigue test with hourglass specimens. In addition, its property of the predictable fatigue life method suggested in this study was accorded well with the experimental data by comparing the predicted fatigue life of FEA with the result of fatigue test for rubber component of engine rubber mount.

• Nuclear Engineering and Technology
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• 제48권3호
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• pp.673-683
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• 2016

This paper analyzes the accuracy of the methods used in calibrating the thermal power of Nigeria Research Reactor-1 (NIRR-1), a low-power miniature neutron source reactor located at the Centre for Energy Research and Training, Ahmadu Bello University, Zaria, Nigeria. The calibration was performed at three different power levels: low power (3.6 kW), half power (15 kW), and full power (30 kW). Two methods were used in the calibration, namely, slope and heat balance methods. The thermal power obtained by the heat balance method at low power, half power, and full power was $3.7{\pm}0.2kW$, $15.2{\pm}1.2kW$, and $30.7{\pm}2.5kW$, respectively. The thermal power obtained by the slope method at half power and full power was $15.8{\pm}0.7kW$ and $30.2{\pm}1.5kW$, respectively. It was observed that the slope method is more accurate with deviations of 4% and 5% for calibrations at half and full power, respectively, although the linear fit (slope method) on average temperature-rising rates during the thermal power calibration procedure at low power (3.6 kW) is not fitting. As such, the slope method of power calibration is not suitable at lower power for NIRR-1.

• 응용통계연구
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• 제29권6호
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• pp.1095-1106
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• 2016

Koenker 등 (1978)에 의해 제안 된 분위수 회귀분석법은 독립변수들이 주어졌을 때, 종속변수의 조건부 분위수에 초점을 맞추어 독립변수들과 종속변수의 해당 특정 분위수와의 관계를 분석하는 방법이다. 선형프로그래밍법 등을 이용한 분위수 회귀의 추정 과정을 생각해 볼 때, 고차원 대용량 자료의 경우에는 모형 적합에 어려움을 겪을 수 밖에 없다. 따라서 분위수 회귀의 문제에 있어서도 차원 축소의 문제, 조금 더 폭을 좁혀 생각해보면 변수선택의 문제를 통해 의사 결정에 영향을 미치는 주요 요인들을 파악하거나 적절한 규모의 모형을 적합하는 과정이 중요하다고 할 수 있다. 본 논문에서는 분위수 회귀의 변수선택의 문제를 보다 직관적이고 간단하게 해결하기 위한 방법으로서 회귀나무 모형을 응용하여 한국야구위원회에 등록된 선수들의 연봉과 기록 데이터를 분석해 보았다. 분석 결과, 각 분위수 별로 소수의 주요 변수가 선택되어 차원축소의 효과를 얻을 수 있었다. 또한 해당 분위수별로 선택된 변수도 해석상 의미 있는 것으로 평가할 수 있었다.