목적 : 근적외선 차단렌즈의 색 왜곡을 평가하기 위하여 객관적 및 주관적 측색 결과를 분석하였다. 방법 : Colorchecker Classic의 15번(Red), 16번(Yellow) 및 14번(Green) 색표를 가상신호등으로 설정하여 객관적 측색을 실시하였다. 객관적 평가를 위하여 디지털 카메라에 각 렌즈를 장착한 후 가상신호등을 촬영하였 다. 본래 색상과 렌즈 장착 후 측정된 색을 CIE 1976 L*a*b* 색도좌표로 표시하였고, 좌표간 거리 값인 ΔE* ab를 산출하여 색 왜곡도를 비교 분석하였다. 32명을 대상으로 주관적 평가를 실시하였다. 교통신호등의 관찰된 색을 한국 색채 표준 디지털팔레트에서 선택하도록 하여 본래 색상과 비교하였다. 결과 : 객관적 평가에서, 황색 및 녹색 가상신호등의 색왜곡은 근적외선 차단렌즈 착용 시 가장 작은 것으로 나 타났다. 근적외선 차단렌즈에 의한 적색 가상신호등의 색왜곡은 녹색렌즈보다 크지만 갈색, 회색 및 청색렌즈에 비교하여 더 적은 것으로 나타났다. 주관적 평가에서, 적색 신호등을 주시했을 때 근적외선 차단렌즈에 의한 색왜곡은 갈색렌즈와 비교하여 더 많았으며, 청색 및 녹색렌즈 착용과 유사하였고, 회색렌즈 착용보다 적은 것으로 나타났다. 결론 : 근적외선 차단렌즈의 색왜곡은 다른 렌즈와 비교하여 객관적 평가에서 가장 낮았으나, 주관적 평가에서는 유의한 차이가 없었다. 근적외선 차단렌즈의 주관적 색 재현성을 정량적으로 조사할 수 있는 추가적인 연구가 필요할 것으로 생각된다.

In this study, whole crop rice samples were used to develop near-infrared reflectance (NIR) equations to estimate six forage quality parameters: Moisture, crude protein (CP), neutral detergent fiber (NDF), acid detergent fiber (ADF), Ash and relative feed value (RFV). A population of 564 whole crop rice representing a wide range in chemical parameters was used in this study. Undried finely chopped whole crop rice samples were scanned at 1 nm intervals over the wavelength range 680–2500 nm and the optical data recorded as log 1/Reflectance (log 1/R). NIRS calibrations were developed by means of partial least-squares (PLS) regression. The correlation coefficients of cross-validation (R2 cv) and standard error of cross-validation (SECV) for whole crop rice calibration were 0.98 (SECV 1.81%) for moisture, 0.89 (SECV 0.50%) for CP, 0.86 (SECV 1.79%) for NDF, 0.89 (SECV 0.86%) for ash, and 0.84 (SECV 5.21%) for RFV on a dry matter (%), respectively. The NIRS calibration equations developed in this study will be useful in predicting whole crop rice quality for these six quality parameters.

Near infrared reflectance spectroscopy (NIRS) has become increasingly used as a rapid and accurate method of evaluating some chemical compositions in forages. The objective of this study was to evaluate the potential of NIRS, applied to imported forage, to estimate the moisture and chemical parameters for imported hays. A population of 392 imported hay representing a wide range in chemical parameters was used in this study. Samples of forage were scanned at 1 nm intervals over the wavelength range 680-2500nm and the optical data was recorded as log 1/Reflectance(log 1/R), which scanned in intact fresh condition. The spectral data were regressed against a range of chemical parameters using partial least squares(PLS) multivariate analysis in conjunction with spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected based on the highest coefficients of determination in cross validation(R2) and the lowest standard error of cross-validation(SECV). The results of this study showed that NIRS predicted the chemical parameters with very high degree of accuracy. The R2 and SECV for imported hay calibration were 0.92(SECV 0.61%) for moisture, 0.98(SECV 0.65%) for acid detergent fiber, 0.97(SECV 0.40%) for neutral detergent fiber, 0.99(SECV 0.06%) for crude protein and 0.97(SECV 3.04%) for relative feed value on a dry matter(%), respectively. Results of this experiment showed the possibility of NIRS method to predict the moisture and chemical composition of imported hay in Korea for routine analysis method to evaluate the feed value.

목적 : 근적외선 흡수렌즈의 광학적 특성과 단열특성을 분석하였다. 방법 : 선명도를 분석하기 위해 화상테스트 차트를 카메라로 촬영하였고, 이미지 분석 프로그램을 이용하여 분석하였다. 32명을 대상으로 시력을 측정하였다. 단열효과를 분석하기 위해 돼지피부와 안검 피부에 근적외선을 조사하고 디지털온도계와 열화상카메라를 사용하여 온도를 측정했다. 렌즈 표면에 근적외선을 조사하여 표면온도를 측정하였고, 열에 의한 렌즈손상을 관찰하였다. 근적외선 흡수안경과 착색안경을 착용하고 선명도, 눈부심, 열감, 광량에 대한 주관적 만족도를 평가하였다. 결과 : 근적외선 흡수렌즈와 착색렌즈에 의한 선명도와 시력은 유의한 차이가 없었다. 근적외선 흡수렌즈를 착용 했을 때 돼지피부와 사람 안검의 온도변화는 착색렌즈를 착용했을 때보다 더 낮았다. 근적외선 조사에 의해 근적외선 흡수렌즈가 착색렌즈보다 표면의 온도가 더 높았고, 더 빨리 손상되었다. 설문조사에서 근적외선 흡수렌즈에 의한 선명도(p=0.040)와 눈부심(p=0.000)에 관한 만족도는 모두 청색렌즈보다 더 높았지만 나머지 착색렌즈들과 유의한 차이가 없었다. 근적외선 흡수렌즈에 의한 열감과 광량에 관한 주관적 만족도는 착색렌즈보다 더 높았다. 결론 : 근적외선 흡수렌즈와 착색렌즈에 의한 선명도와 시력은 유의한 차이가 없었으며, 근적외선 흡수렌즈의 단열효과는 착색렌즈보다 더 좋았다. 본 연구는 근적외선 흡수렌즈의 단열효과에 대한 기초자료를 제시하였다고 생각된다.

This study was conducted to investigate the potential of infrared assisted air drying (IRAD) to dry dorumuk (Arctoscopus japonicus). The IRAD system is composed of a far infrared lamp, convection fan, data loggable electronic balance, and proportional-integral-differential temperature controller. The infrared lamp provided radiative energy for temperature increase and substance moisture vaporization. The convection fan removed the moisture outside the drying chamber. Various IRAD conditions were tested at 40oC & 5 m/s, 40oC &11 m/s, 50oC & 5 m/s, 50oC & 11 m/ s, 60oC & 5 m/s, or 60oC & 11 m/s. The IRAD of 40oC & 5 m/s could reduce the moisture content by 42.2 %. The IRAD of 60oC and 11 m/s could further reduce the moisture content to 16.7% within 17 h. During the IRAD test, electrical energy consumption ranged from 1.16 to 1.38 kWh which is lower than that of hot air drying. IRAD resulted in dried dorumuk with yellow color and crispy texture. In this study, IRAD showed potential for the production of high-quality, dried dorumuk products.

We investigate the characteristics of self-assembled quantum dot infrared photodetectors(QDIPs) based on doping level. Two kinds of QDIP samples are prepared using molecular beam epitaxy : n+-i(QD)-n+ QDIP with undoped quantum dot(QD) active region and n+-n−(QD)-n+ QDIP containing Si direct doped QDs. InAs QDIPs were grown on semi-insulating GaAs (100) wafers by molecular-beam epitaxy. Both top and bottom contact GaAs layer are Si doped at 2×1018/cm3. The QD layers are grown by two-monolayer of InAs deposition and capped by InGaAs layer. For the n+-n−(QD)-n+ structure, Si dopant is directly doped in InAs QD at 2×1017/cm3. Undoped and doped QDIPs show a photoresponse peak at about 8.3 μm, ranging from 6~10 μm at 10 K. The intensity of the doped QDIP photoresponse is higher than that of the undoped QDIP on same temperature. Undoped QDIP yields a photoresponse of up to 50 K, whereas doped QDIP has a response of up to 30 K only. This result suggests that the doping level of QDs should be appropriately determined by compromising between photoresponsivity and operating temperature.

In this paper, optical infrared thermography simulation using thermal wave imaging technique is performed to analyze the thermal characteristics of delamination defects. In this study, lock-in thermography(LIT) and pulsed thermography(PT) simulation was performed to analyze the samples of european traditional tiles with delamination defects, and the analytical modeler was developed through the ANSYS 19.2 transient thermal analysis tool. Applied sinusoidal heating with modulation frequency according to pulse heating and phase locking technique. The thermal response of the sample surface by heating was recorded and then data analysis was performed. The temperature gradient characteristics of each technique were compared, and phase angle was calculated for the LIT to analyze the parameters for the experiment setting. The simulation model was developed as a useful data for practical optical infrared thermography tests.

This study was carried out to explore the accuracy of near infrared spectroscopy(NIRS) for the prediction of moisture content and chemical parameters on winter annual forage crops. A population of 2454 winter annual forages representing a wide range in chemical parameters was used in this study. Samples of forage were scanned at 1nm intervals over the wavelength range 680-2500nm and the optical data was recorded as log 1/Reflectance(log 1/R), which scanned in intact fresh condition. The spectral data were regressed against a range of chemical parameters using partial least squares(PLS) multivariate analysis in conjunction with spectral math treatments to reduced the effect of extraneous noise. The optimum calibrations were selected based on the highest coefficients of determination in cross validation(R2) and the lowest standard error of cross-validation(SECV). The results of this study showed that NIRS calibration model to predict the moisture contents and chemical parameters had very high degree of accuracy except for barely. The R2 and SECV for integrated winter annual forages calibration were 0.99(SECV 1.59%) for moisture, 0.89(SECV 1.15%) for acid detergent fiber, 0.86(SECV 1.43%) for neutral detergent fiber, 0.93(SECV 0.61%) for crude protein, 0.90(SECV 0.45%) for crude ash, and 0.82(SECV 3.76%) for relative feed value on a dry matter(%), respectively. Results of this experiment showed the possibility of NIRS method to predict the moisture and chemical composition of winter annual forage for routine analysis method to evaluate the feed value.

We report the properties of infrared photodetectors based on two kinds of quantum dots(QDs): i) 2.0 ML InAs QDs by the Stranski-Krastanov growth mode(SK QDs) and ii) sub-monolayer QDs by 4 × [0.3 ML/1 nm In0.15Ga0.85As] deposition(SML QDs). The QD infrared photodetector(QDIP) structure of n+-n−(QDs)-n+ is epitaxially grown on GaAs (100) wafers using molecular-beam epitaxy. Both the bottom and top contact GaAs layers are Si doped at 2 × 1018/cm3. The QD layers are grown with Si doping of 2 × 1017/cm3 and capped by an In0.15Ga0.85As layer at 495 oC. The photoluminescence peak(1.24 eV) of the SML QDIP is blue-shifted with respect to that (1.04 eV) of SK QDIPs, suggesting that the electron ground state of SML QDIP is higher than that of the SK QDIP. As a result, the photoresponse regime(~9-14 μm) of the SML QDIP is longer than that (~6-12 μm) of the SK QDIP. The dark current of the SML QDIP is two orders of magnitude smaller value than that of the SK QDIP because of the inserted Al0.08Ga0.92As layer.

LuNbO4:0.2Yb3+,xTm3+ powders were prepared using a solid-state reaction process. The effects of the amount of Tm on up-conversion(UC) and down-conversion(DC) luminescence properties are investigated. X-ray diffraction patterns confirm that Yb3+ and Tm3+ ions are successfully incorporated into Lu sites. Under 980 nm excitation, the UC spectra of the powders predominantly exhibit strong near-infrared emission bands that peak at 805 nm, whereas weak 480 nm emission bands are observed as well. The emission bands are assigned to the 1G4→ 3H6 (480 nm) and 3H4→ 3H6 (805 nm) transitions of the Tm3+ ions via an energy transfer from Yb3+ to Tm3+; two- and three-photon UC processes are responsible for the 805 and 480 nm emissions, respectively. The DC emission spectra exhibit blue emission (1D2→ 3F4) of Tm3+ at 458 nm. The amount of Tm affects the emission intensity with the strongest emissions at x = 0.007 and 0.02 for the UC and DC luminescence, respectively. The results demonstrate that LuNbO4:Yb3+,Tm3+ phosphors are suitable for bio-applications.