• Journal of Crop Science and Biotechnology
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• 제10권3호
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• pp.185-192
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• 2007

Near-infrared spectroscopy(NIRS) was used to develop a rapid and efficient method to determine lignan glucosides in intact seeds of sesame(Sesamum indicum L.) germplasm accessions in Korea. A total of 93 samples(about 2 g of intact seeds) were scanned in the reflectance mode of a scanning monochromator, and the reference values for lignan glucosides contents were measured by high performance liquid chromatography. Calibration equations for sesaminol triglucoside, sesaminol($1{\rightarrow}2$) diglucoside, sesamolinol diglucoside, sesaminol($1{\rightarrow}6$) diglucoside, and total amount of lignan glucosides were developed using modified partial least square regression with internal cross validation(n=63), which exhibited lower SECV(standard errors of cross-validation), higher $R^2$(coefficient of determination in calibration), and higher 1-VR(ratio of unexplained variance divided by variance) values. Prediction of an external validation set(n=30) showed a 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, as factors used to evaluate the accuracy of equations. The models for each glucoside content had relatively higher values of SD/SEP(C) and $r^2$(more than 2.0 and 0.80, respectively), thereby characterizing those equations as having good quantitative information, while those of sesaminol($1{\rightarrow}2$) diglucoside showing a minor quantity had the lowest SD/SEP(C) and $r^2$ values(1.7 and 0.74, respectively), indicating a poor correlation between reference values and NIRS estimated values. The results indicated that NIRS could be used to rapidly determine lignan glucosides content in sesame seeds in the breeding programs for high quality sesame varieties.

• Journal of Biosystems Engineering
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• 제32권3호
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• pp.160-165
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• 2007

This study was conducted to evaluate beef using a color machine vision system. The machine vision system has an advantage to measure larger area than a colorimeter and also could measure other quality factors like distribution of fats. However, the machine vision measurement is affected by system components. To measure the beef color with the machine vision system, the effect of color balancing control was tested and calibration model was developed. Neural network for color calibration which learned reference color patches showed a high correlation with colorimeter in L*a*b* coordinates and had an adaptability at various measurement environments. The trained network showed a very high correlation with the colorimeter when measuring beef color.

• 대한전자공학회논문지SD
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• 제44권3호
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• pp.65-71
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• 2007

본 논문에서는 지문센서의 주변환경 변화에 따른 획득 이미지의 왜곡을 보상하기 위한 픽셀 수준의 자동보상회로를 설계하고 $0.35{\mu}m$ CMOS공정을 적용하여 칩으로 구현하였다. 적용된 센서는 $48\times48$ 픽셀의 용량형 센서로서 센서의 출력 전압과 기준 전압을 비교하여 이진의 영상을 출력하게 된다. 기준전압을 제어하여 왜곡된 이미지를 보상하기 위한 알고리즘을 제안하였으며 기준전압제어를 위하여 기존의 DAC와 같은 복잡한 회로 대신 비휘발성 메모리에 적용되는 승압회로를 픽셀별로 적용하였다. 본 논문에서는 승압회로에 의한 이미지보상효과를 얻을 수 있었으며 아울러 16단계의 회색 이미지를 얻음으로써 지문의 인증율을 높일 수 있었다.

• 센서학회지
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• 제27권6호
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• pp.368-373
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• 2018

The effects of long-term exposure of high and low humidity on thin-film humidity sensors are investigated. Five commercially available thin-film humidity sensors are initially calibrated in a humidity chamber as a reference before longterm exposure to high and low humidity. Then, the sensors are kept in a high-humidity environment (~95 %rh) for four months. After the exposure, the sensors are calibrated in the same manner as the initial calibration. Consequently, the device reading values from the humidity sensors are elevated up to about 5 %rh. Interestingly, the degree of elevation by the high-humidity exposure shows a negative correlation with the price of the humidity sensors. Humidity sensors are then kept in a low-humidity environment (~10 %rh) for another four months. After the exposure, a calibration similar to the initial calibration is performed. As a result, the device reading from humidity sensors is decreased, indicating a recovery from the effect of high-humidity exposure. The durability test conducted in this study provides experimental evidence for the use of thin-film humidity sensors in high-humidity environments such as greenhouses and food factories for a long period of time.

• Nuclear Engineering and Technology
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• 제51권7호
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• pp.1853-1859
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• 2019

The two-thermocouple method was investigated experimentally to evaluate its accuracy for the measurement of local wall temperature and heat flux on a heat transfer tube with an electric heater rod installed in an annulus channel. This work revealed that a thermocouple flush-mounted in a surface groove serves as a good reference method for the accurate measurement of the wall temperature, whereas two thermocouples installed at different depths in the tube wall yield large bias errors in the calculation of local heat flux and wall temperature. These errors result from conductive and convective changes due to the fin effect of the thermocouple sheath. To eliminate the bias errors, we proposed a calibration method based on both the local heat flux and Reynolds number of the cooling water. The calibration method was validated with the measurement of local heat flux and wall temperature against experimental data obtained for single-phase convection and two-phase condensation flows inside the tube. In the manuscript, Section 1 introduces the importance of local heat flux and wall temperature measurement, Section 2 explains the experimental setup, and Section 3 provides the measured data, causes of measurement errors, and the developed calibration method.

• 대한공간정보학회지
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• 제22권4호
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• pp.39-46
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• 2014

네트워크 RTK측량은 단일기준국 RTK측량의 한계를 극복하고자 개발된 GNSS 위치결정기술로 그 정확도와 효율성이 높아 일반측량, 지적측량 및 엔지니어링측량 등에서 많이 활용되고 있다. 지적재조사측량규정에서는 네트워크 RTK, 단일기준국 RTK와 정지측위를 지적재조사측량방법으로 규정하고 있는데, 본 연구에서는 경남 하동의 지적재조사측량지역을 대상으로 측량규정에 정한 방법인 네트워크 RTK와 정지측위 방식에 의한 기준점측량을 실시하고 그 결과를 비교하였다. 아울러 네트워크 RTK 측량의 정확도를 개선시키고자 사이트 캘리브레이션을 실시하고 경계점 측량을 수행하였으며 이를 사이트 캘리브레이션 실시없이 네트워크 RTK(VRS) 측량을 수행한 측량결과와 비교하였다. 연구결과 네트워크 RTK 방식과 정지측위 방식의 평균오차는 두 개 지구에서 각각 2.44cm와 1.53cm로 나타났고, 캘리브레이션을 실시한 경우에는 네트워크 RTK 방식과 정지측위 방식의 평균오차값이 두 개 지구에서 각각 0.19cm와 0.82cm로 나타나 캘리브레이션의 효과를 확인할 수 있었다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1510-1510
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• 2001

NIRS uses reflectance signals resulting from bending and stretching vibrations in chemical bonds between carbon, nitrogen, hydrogen, sulfur and oxygen. These reflectance signals are used to measure the concentration of major chemical composition and other descriptors of homogenized and freeze-dried whole broiler carcasses. Six strains of chicken were analyzed and the NIRS model predictions compared to reference data. The results of this comparison indicate that NIRS is a rapid tool for predicting dry matter (DM), fat, crude protein (CP) and ash content in the broiler carcass. Males and females of six commercial strain crosses of broiler chicken (Gallus domesticus) were used in this study (6$\times$2 factorial design). Each strain was grown to 16 weeks of age, and duplicate serial samples were taken for body composition analysis. Each whole carcass was pressure-cooked, homogenized, and a representative sample was freeze-dried. Body composition determined as follows: DM by oven dried method at 105$^{\circ}C$ for 3 hours, fat by Mojonnier diethyl ether extraction, CP by measuring nitrogen content using an auto-analyzer with Kjeldhal digest and ash by combustion in a muffle furnace for 24 hour at 55$0^{\circ}C$. These homogenized and freeze-dried carcass samples were then scanned with a Foss NIR Systems 6500 visible-NIR spectrophotometer (400-2500nm) (Foss NIR Systems, Silver Spring, MD., US) using Infra-Soft-International, ISI, WinISl software (ISI, Port Matilda, US). The NIRS spectra were analyzed using principal component (PC) analysis. This data was corrected for scatter using standard normal “Variate” and “Detrend” technique. The accuracy of the NIRS calibration equations developed using Partial Least Squares (PLS) for predicting major chemical composition and carcass descriptors- such as body mass (BM), bird dry matter and moisture content was tested using cross validation. Discrimination analysis was also used for sex and strain identification. According to Dr John Shenk, the creator of the ISI software, the calibration equations with the correlation coefficient, $R^2$, between reference data and NIRS predicted results of above 0.90 is excellent and between 0.70 to 0.89 is a good quantifying guideline. The excellent calibration equations for DM ($R^2$= 0.99), fat (0.98) and CP (0.92) and a good quantifying guideline equation for ash (0.80) were developed in this study. The results of cross validation statistics for carcass descriptors, body composition using reference methods, inter-correlation between carcass descriptors and NIRS calibration, and the results of discrimination analysis for sex and strain identification will also be presented in the poster. The NIRS predicted daily gain and calculated daily gain from this experiment, and true daily gain (using data from another experiment with closely related broiler chicken from each of the six strains) will also be discussed in the paper.

• 한국통신학회논문지
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• 제40권12호
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• pp.2503-2510
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• 2015

본 논문에서는 전력 정보를 측정하기 위한 단상 에너지 측정용 IC의 구현 방법을 제안한다. 제안된 전력 측정용 IC는 2개의 PGA(Programmable Gain Amplifier), 2개의 ${\sum}{\Delta}$ modulator, reference 회로, LDO(Low-dropout) regulator, 온도 센서, 필터부, 계산 엔진, 보정 제어부, 레지스터, 외부 인터페이스로 구성된다. $0.18-{\mu}m$ CMOS 공정으로 제작되었고, 32-pin QFN package로 제작되었다. 구현된 IC는 3.3V 전원을 공급받아 동작하며, 동작 클럭 주파수는 4,096 kHz이고, IC 동작시 소비 전력은 10 mW이다.

• 한국산학기술학회논문지
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• 제4권2호
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• pp.63-70
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• 2003

본 논문에서는 반도체 제조장비의 핵심 부품 중에 하나인 질량유량제어기(MFC, Mass Flow Controller)클 설계하고 구현하였다 Microchip社의 마이크로콘트롤러(Microcontroller) PIC 16F876을 사용하여 개발된 MFC는 여러가지 문제점을 가진 아날로그(Analog) 방식의 MFC와 고가의 DSP(Digital Signal Processor) 및 고분해능의 AD변환기(Analog to Digital Convertor)를 사용하는 디지털 MFC의 장점을 혼합한 하이브리드형(Hybrid-Type)이다. 본 논문에서 개발된 MFC는 크게 센서부(Sensor Unit), 제어부(Control Unit), 구동기부(Actuator Unit)로 구성되었으며, 성능향상을 위한 자동보정(Automatic Calibration) 알고리즘과 표준테이블(Reference Table) 방식을 사용하였다.

• 대한인간공학회지
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• 제16권3호
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• pp.1-10
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• 1997

This paper is concerned with the development and evaluation of the camera calibration method for a real-time head tracking system. Tracking of head movements is important in the design of an eye-controlled human/computer interface and the area of virtual environment. We proposed a video-based head tracking system. A camera was mounted on the subject's head and it took the front view containing eight 3-dimensional reference points(passive retr0-reflecting markers) fixed at the known position(computer monitor). The reference points were captured by image processing board. These points were used to calculate the position (3-dimensional) and orientation of the camera. A suitable camera calibration method for providing accurate extrinsic camera parameters was proposed. The method has three steps. In the first step, the image center was calibrated using the method of varying focal length. In the second step, the focal length and the scale factor were calibrated from the Direct Linear Transformation (DLT) matrix obtained from the known position and orientation of the camera. In the third step, the position and orientation of the camera was calculated from the DLT matrix, using the calibrated intrinsic camera parameters. Experimental results showed that the average error of camera positions (3- dimensional) is about $0.53^{\circ}C$, the angular errors of camera orientations are less than $0.55^{\circ}C$and the data aquisition rate is about 10Hz. The results of this study can be applied to the tracking of head movements related to the eye-controlled human/computer interface and the virtual environment.