In this study, infrared thermometry techniques were used to conduct surface wetting performance tests (wicking tests) on micropillar structures with good fluid supply capabilities to enhance the critical heat flux. Wicking tests were conducted based on various micropillar shapes (i.e., diameter and spacing) to investigate the surface wetting performance near the boiling point of the fluid(~100°C). The surface temperature was increased from 20°C to 95°C, to examine the wicking performance The shape of the micropillars were quantified by the roughness and the effect of the roughness and temperature on the wicking performance was analyzed. As a result, we confirmed that the roughness of the micropillars increases the capillary pressure, improving the wicking performance. The sample D04 G10 with the highest roughness coefficient at room temperature (r=2.51) exhibited the highest wicking coefficient, showing a 170% improvement in wicking performance compared to D04G20 with the smallest roughness coefficient at room temperature(r=1.51). Additionally, the D04 G10 sample (r=2.51) recorded a 50% improvement in the wicking coefficient at the highest temperature(95°C) compared to room temperature(20°C). The wicking coefficient data will be utilized as a database for developing a new correlation for critical heat flux.

Infrared radiation (IR) refers to the region of the electromagnetic radiation spectrum where wavelengths range from about 700 nm to 1 mm. Any object with a temperature above absolute zero (0 K) radiates in the infrared region, and a material that transmits radiant energy in the range of 0.74 to 1.4 um is referred to as a near-infrared optical material. Germanatebased glass is attracting attention as a glass material for infrared optical lenses because of its simple manufacturing process. With the recent development of the glass molding press (GMP) process, thermal imaging cameras using oxide-based infrared lenses can be easily mass-produced, expanding their uses. To improve the mechanical and optical properties of commercial materials consisting of ternary systems, germanate-based heavy metal oxide glasses were prepared using a melt-cooling method. The fabricated samples were evaluated for thermal, structural, and optical properties using DSC, XRD, and XRF, respectively. To derive a composition with high glass stability for lens applications, ZnO and Sb2O3 were substituted at 0, 1, 2, 3, and 4 mol%. The glass with 1 mol% added Sb2O3 was confirmed to have the optimal conditions, with an optical transmittance of 80 % or more, a glass transition temperature of 660 °C, a refractive index of 1.810, and a Vickers hardness of 558. The possibility of its application as an alternative infrared lens material to existing commercial materials capable of GMP processing was confirmed.

This experiment was conducted to confirm the possibility of preparing Sorghum×sudangrass hybrid artificial hay using far-infrared rays in Korea. The machine used in this experiment is a drying device based on far-infrared rays, and is designed to control temperature, air flow rate, far-infrared radiation amount, and air flow speed. The Sorghum×sudangrass hybrids harvested in late September were wilted in the field for one day, and a drying test was performed on them. Conditions for drying were performed by selecting a total of 7 conditions, and each condition induced a change in radiation amount in a single condition (42%) and two steps (4 treatments) and three steps (2 treatments). The speed of the air flow in the device was fixed at 60 m/s, and the run time was changed to 30, 60, and 90 minutes. The average dry matter (DM) content was 82.84%. The DM content was 59.94 and 76.91%, respectively, in drying conditions 1 and 3, which were not suitable for hay. In terms of drying rate, it was significantly higher than 80% in the 5, 6 and 7 treatment, and power consumption was slightly high with an average of 5.7 kw/h. As for the feed value according to each drying condition, the crude protein (CP) content increased as the drying time increased, and there was no significant difference between treatments in ADF, NDF, IVDMD and TDN content. In terms of RFV, treatment 1, which is a single condition, was significantly lower than the complex condition. Through the above results, it was determined that the drying conditions 4 and 5 were the most advantageous when considering the drying speed, power consumption, and quality.

본 시험은 우리나라에서 원적외선을 이용한 이탈리안 라이그 라스 인공건초 조제 가능성을 확인하기 위해 수행되었다. 본 시험 에 사용된 기계는 온도, 송풍량, 원적외선 방사량을 조절할 수 있 는 원적외선 건조기로 5월에 수확한 이탈리안 라이그라스를 대상 으로 실시하였다. 건조를 위한 조건은 전체 9개의 조건을 선택하 여 수행하였으며 각각의 조건은 방사율 42∼45 %로 설정을 하였 으며 내부 온도는 65℃로 설정하였다. 기기내의 기류의 속도는 40 ∼60m/s로 하였으며, 전체적인 건조시간은 방사량 42%는 30분, 43%는 25분 그리고 45%는 20분으로 하여 수행하였다. 각각의 건조조건에 따른 최종 건물함량은 평균 88.5%로 나타났으며 전 처리에서 건초에 적합한 건물함량을 나타내었다. 건조 조건에 따 른 전력 소비량을 보면 45% 방사량에서 20분간을 건조한 처리구 에서 가장 낮게 나타났다. 건조율에 있어서는 1∼5번 건조 조건에 서는 차이가 없었으나 6∼7조건에서는 유의적으로 낮은 경향을 보였다. 사료가치에 있어서는 대부분의 건조조건에서 원물보다 CP, IVDMD는 높았고 ADF, NDF 함량은 낮게 나타났으며 대체 적으로 4, 7 및 8번 건조 조건에서 높은 경향을 보였다. 이상의 결과를 통하여 건조속도, 전력량, 품질 등을 고려할 때 7 및 8번 건조조건이 가장 유리한 것으로 판단되었다.

This experiment was conducted to establish the technology for artificial hay preparation in Korea. Using far-infrared heater, a device that can control temperature, airflow, and far-infrared radiation was produced and conducted on the fourth harvested alfalfa. The drying conditions were carried out by selecting a total of four conditions. For each condition, the radiation rate was set to around 40% (33-42%), and the temperature was set at 58~65℃, and the speed of the airflow was fixed at 60m/s. The overall drying time was set to 30 min in the single and 60 min (30-30 min) and 90 min (30-30-30 min) in the complex condition, and the radiation rate and temperature were changed by time period. In the case of drying condition 1, the final dry matter (DM) content was 46.26%, which did not reach a DM suitable for hay. However, all of the alfalfa corresponding to the remaining drying conditions 2 to 7 showed a DM content of 80% or more, resulting in optimal alfalfa hay production. In power consumption according to the drying conditions, the second drying condition showed the lowest at 4.7 KW, and the remaining drying conditions were as high as 6.5 to 7.1 KW. The crude protein content was found to be high at an average of 25.91% and it showed the highest content in the 5th drying condition (26.93%) and the lowest value in the 6th drying condition (25.16%). The digestibility showed a high value with an average of 84.90%, and there was no significant difference among treatments (p>0.05). Considering the above results, it was judged that drying condition 2 was the most advantageous.

이 연구는 ‘태양 복사’가 ‘가시광선 복사’로, ‘지구 복사’가 ‘적외선 복사’로 상호 대체될 수 있는 개념인가에 대한 문제 인식에서 출발하였다. 이를 위해 각 개념을 어떻게 인식하고 있는지를 드러낼 수 있는 질문지를 통하여 지 구과학 I을 이수한 고등학생들의 인식을 조사하고, 이들의 인식에 영향을 미칠 수 있는 교과서의 서술 및 삽화를 분석 하였다. 이 연구의 주요 결과는 다음과 같다. 첫째, 조사에 참여한 학생들은 모두 태양 복사를 가시광선 영역에서만 방출되는 복사로 인식하고 있으며, 지구 열수지에서 대류·전도·숨은열을 복사에 의한 에너지 전달로 인식하고 있는 학생 들도 약 35%로 나타났다. 둘째, 2015 개정 교육과정의 지구과학 I 6종 교과서를 분석한 결과, 2종에서는 ‘단파 복사’와 ‘장파 복사’라는 용어를 도입하지만 이들에 대한 설명이 없었으며, 다른 2종에서는 태양 복사를 각각 ‘주로 가시광선 형 태의 복사’ 또는 ‘파장이 짧은 가시광선 복사’로 서술하였다. 그 밖의 2종 교과서에 있는 태양 복사와 지구 복사에 관 하여, 파장 영역에 대한 설명이 없거나 ‘단파장/장파장’이라는 모호한 용어가 사용되었다. 아울러 2종의 교과서에서 열 수지 삽화에 일부 오류가 발견되었다. 따라서 교과서들이 단파 복사와 장파 복사에 관한 정확한 용어 정의 없이 태양 복사와 지구 복사를 설명함에 따라 학습자들은 태양 복사와 지구 복사를 각각 가시광선 복사와 적외선 복사라는 개념 으로 인식할 개연성이 있다. 이를 종합해 보면, 교과서에 기술된 불분명한 진술이나 오류가 학생들의 오개념을 유발하 거나 재생산할 수 있음을 함의한다. 이 연구에서 논의된 바가 지구의 열수지와 복사 평형에 대한 교수·학습 과정의 유 용한 참고 자료로 활용되고, 추후 교과서 집필에서도 합리적인 서술 방안을 제안하는 데 기여할 수 있으리라 기대한다.

This study was carried out to investigate the proper wattage and installation distance for the efficient use of nano-carbon fiber infrared heating lamp (NCFIHL), a heating device advantageous for heating energy saving, when the production of watermelon plug seedlings in the plug seedling nursery in winter season. Six small beds were divided into plastic film, and 700 W and 900 W nano-carbon fiber infrared heating lamps were installed at 100 cm above the bed. 1 lamp at central (control), 60 cm interval (2 lamps), and 40 cm interval (3 lamps) heating lamps were installed in each bed inside the greenhouse. All treatments, except the control, were set to keep the night air temperature at 20℃ after lighting the NCFIHL. The leaf temperature showed a tendency to increase fast as the install distance was narrow. The leaf length and leaf width tended to increase as the installation distance of the 700 W heating lamp was narrow. The compactness was high in 700 W heating lamp with 40 cm of installation distance. Therefore, in consideration of maintaining the set temperature at night, installing 700 W electric lamps at 40 cm was an efficient power and installation distance for watermelon grafted seedlings considering economic feasibility.

본 연구는 메꽃과 6종의 식물에 대해 신속하고 비파괴적으로 분류하기 위해 근적외선 (Vis-NIR) 스펙트럼을 이용하였고 데이터의 전처리와 머신러닝 기술을 적용하였다. 전국적으로 분포하는 메꽃과 6종에 대해 야외에서 휴대용 분광기를 이용하여 판별하였다. 식물의 잎의 표면에서 400~1,075 nm의 근적외선 스펙트럼 (1.5 nm)을 수집하였 다. 수집된 스펙트럼 데이터는 3가지의 전처리와 raw데이터를 이용하였고 4종류의 머신러닝 모델을 적용하여 높은 판별 정확도를 확인하였다. 전처리와 머신러닝 모델의 조합을 통해 분석된 판별의 정확도는 43~99%의 범위로 분석되었고, standard normal variate 전처리와 support vector machine 머신러닝 모델의 조합에서 판별 정확도가 98.6% 로 가장 높게 나타났다. 본 연구에서 수집된 스펙트럼은 식물의 성장단계, 다양한 측정 지역 및 잎에서의 측정 위치 등과 같은 요인과 더불어 데이터 분석을 위한 조건으로 최 적의 전처리와 머신러닝 기술을 적용한다면 메꽃과 식물의 야외에서의 정확한 분류가 가능하고 이들 식물의 효과적인 관리와 모니터링에 활용할 수 있을 것으로 판단되었다.

Variability is one of the major characteristics of Active Galactic Nuclei (AGN), and it is used for understanding the energy generation mechanism in the center of AGN and/or related physical phenomena. It it known that there exists a time lag between AGN light curves simultaneously observed at different wavelengths, which can be used as a tool to estimate the size of the area that produce the radiation. In this paper, We present long term near-infrared variability of optically bright type 1 AGN using the Wide-field Infrared Survey Explorer data. From the Milliquas catalogue v6.4, 73 type 1 QSOs/AGN and 140 quasar candidates are selected that are brighter than 18 mag in optical and located within 5 degree around the ecliptic poles. Light curves in the W1 band (3.4 ㎛) and W2 band (4.6 ㎛) during the period of 2010-2019 were constructed for these objects by extracting multi-epoch photometry data from WISE and NEOWISE all sky survey database. Variability was analyzed based on the excess variance and the probability Pvar . Applying both criteria, the numbers of variable objects are 19 (i.e., 26%) for confirmed AGN and 12 (i.e., 9%) for AGN candidates. The characteristic time scale of the variability (τ) and the variability amplitude (σ) were derived by fitting the DRW model to W1 and W2 light curves. No significant correlation is found between the W1/W2 magnitude and the derived variability parameters. Based on the subsample that are identified in the X-ray source catalog, there exists little correlation between the X-ray luminosity and the variability parameters. We also found four AGN with changing W1-W2 color.

In this paper, we propose dead pixel detection and compensation method using nonlinear estimator for infrared camera. Infrared camera has dead pixel that is abnormal output values due to complex factors such as manufacturing process, electronic parts and so on. Dead pixels are able to affect detecting a small target. So, It needs detection and Compensation process. However, after Compensation, some dead pixels are remained and detected by the human. They are soft dead pixel. The key idea of this proposed method, detecting soft dead pixels, is that design a nonlinear estimator using image data characteristics. This propose is able to not only detect soft dead pixels but also pixel Compensation that reflects infrared camera output characteristics well.

Near infrared reflectance spectroscopy (NIRS) is routinely used for the determination of nutrient components of forages. However, little is known about the impact of sample preparation and wavelength on the accuracy of the calibration to predict minerals. This study was conducted to assess the effect of sample preparation and wavelength of near infrared spectrum for the improvement of calibration and prediction accuracy of Calcium (Ca) and Phosphorus (P) in imported hay using NIRS. The samples were scanned in reflectance in a monochromator instrument (680–2,500 nm). Calibration models (n = 126) were developed using partial least squares regression (PLS) based on cross-validation. 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 highest R2 and the lowest SECV were obtained using oven-dry grinded sample preparation and 1,100-2,500 nm wavelength. The calibration (R2) and SECV were 0.99 (SECV: 468.6) for Ca and 0.91 (SECV: 224.7) for P in mg/kg DM on a dry weight, respectively. Results of this experiment showed the possibility of NIRS method to predict mineral (Ca and P) concentration of imported hay in Korea for routine analysis method to evaluate the feed value.

This study was developed to recognize the occurrence of 250[m] of experimental distance, rain and nighttime as an educational and training device without any safety accidents by applying algorithms to optical filters and noise filters to be used in all weather environments and closest to actual shooting training using IR Laser. There are live-fire shooting using live ammunition, screen shooting using beam project and screen, MILES using IR Laser and sensor, BB shooting using compressed gas and BB bullet, and painting shooting using CO2 gas and paint bullet. Among them, the actual shooting training is not efficient in terms of management and operation because it requires considerable risk factors and large costs in preparation for the highest efficiency. Therefore, training that replaces these problems is needed, and various alternative shooting training is being implemented. Therefore, research and development was conducted to solve these problems by using it as one of efficient shooting training and education systems. This study was conducted to develop high-performance and low-cost precision shooting training equipment to contribute to strengthening the defense of the Republic of Korea.

기후변화와 지구환경변화에 중요한 역할을 하고 있는 해수면온도는 인공위성 적외선 센서가 관측하는 피층 수온과 측기들이 관측하는 표층 수온으로 나누어질 수 있다. 국외 여러 기관에서 보급되고 있는 해수면온도 관측 자료들은 각각 서로 다른 깊이의 수온을 나타내고 있어서 해양 피층과 표층 수온 사이의 관계를 이해하는 것은 매우 중요하 다. 본 연구에서는 적외선 라디오미터를 해양조사선에 장착하기 위한 시스템을 설계하고 부착하고 운용하여 국내에서 처음으로 해양 피층 수온을 산출할 수 있는 관측 환경을 구축하였다. 선박 관측 전에 실험실에서 라디오미터 기기의 검보정을 실시하여 보정 계수를 산출하였다. 관측된 해수면에서 방출된 복사에너지와 하늘 복사에너지를 피층 수온으로 산출하는 일련의 과정을 적용하였다. 산출된 피층 해수면온도를 현장 관측 표층 수온자료와 비교하여 표층과 피층 수온 차이를 정량적으로 조사하고자 하였으며, Himawari-8 정지궤도 위성 해수면온도 자료와의 비교를 통해 해양 상층 연직 구조의 특성을 이해하고자 하였다. 2020년 4월 21일부터 5월 6일까지 남해안의 장목항과 동해 남부를 관측한 해양 피층 수온은 전체적으로 표층 수온과 0.76oC 정도의 차이를 보였다. 또한 이 두 수온 차이의 평균제곱근오차는 약 0.6oC 에서 0.9oC까지의 일간변화를 가지고 있었으며, 하루 중 1-3시에 0.83-0.89oC로 가장 크게 나타났으며, 15시에 0.59oC로 최소의 차이를 가지고 있었다. 또한 편차도 0.47-0.75oC의 일간변화를 나타내었다. 해양 피층 관측 수온과 위성 해수면 온도 간 차이는 약 0.74oC의 평균제곱근오차, 0.37oC의 편차를 나타냈다. 본 연구의 분석을 통해 관측 수심에 따른 피 층-표층 수온의 차이를 확인할 수 있었으며, 피층-표층 수온 차의 계절적 변화를 정량적으로 이해하고 또 변동 요인과의 관련성을 연구하기 위하여 연구조사선을 이용한 추가적인 연안 및 대양 관측이 지속적으로 진행되어야 함을 시사한다.

적외선 유도 무기 체계의 발달로 항공기의 생존성은 지속적으로 위협받고 있으며, 항공기의 생존성을 향상시키기 위한 적외선 스텔스 기술 관련 연구가 진행되고 있다. 본 논문에서는 적외선 유도 미사일이 항공기와 배경 간의 대비 신호를 탐지하는 것에 주목하여 비행 조건에 따른 항공기의 최적 적외선 신호를 분석하고자 하였다. 이를 위해 항공기의 비행 조건을 고려하여 유동 해석과 대류, 전도, 복사 3차원 열전달 해석을 수행하였고, 동체 표면 온도를 도출하여 항공기 주변 유동 특성을 기반으로 항공기의 적외선 신호를 분석하였다. 더 나아가, 비행 조건 별로 최적 적외선 신호를 갖기 위한 최적 방사율을 도출하였고, 비행 조건 별로 최적 방사율을 동체 표면에 적용했을 때 적외선 신호 저감 효과를 분석하였다.

The aim of this study was to investigate the feasibility of discrimination 12 different cultivar of sorghum × sudangrass hybrid (Sorghum genus) seed through near infrared spectroscopy (NIRS). The amount of samples for develop to the best discriminant equation was 360. Whole samples were applied different three spectra range (visible, NIR and full range) within 680-2500 nm wavelength and the spectrastar 2500 Near near infrared was used to measure spectra. The calibration equation for discriminant analysis was developed partial least square (PLS) regression and discrimination equation (DE) analysis. The PLS discriminant analysis model for three spectra range developed with mathematic pretreatment 1,8,8,1 successfully discriminated 12 different sorghum genus. External validation indicated that all samples were discriminated correctly. The whole discriminant accuracy shown 82 ~ 100 % in NIR full range spectra. The results demonstrated the usefulness of NIRS combined with chemometrics as a rapid method for discrimination of sorghum × sudangrass hybrid cultivar through seed.

The feasibility of infrared assisted freeze drying (IRAFD) was evaluated for shelf stable sea cucumber to improve the traditional drying methods such as freeze drying (FD), vacuum drying (VD) and hot air drying (AD, 60, 80, 100oC). Infrared (IR) radiant energy was provided to accelerate the drying rate of freeze drying (FD). IRAFD had the most rapid drying rate among IRAFD, FD and VD. IRAFD showed drying time of 13.7 h followed by VD (18.7 h) and FD (24.3 h). In the final moisture content of sea cucumber, it decreased down to 3.25% at IRAFD. However, FD and VD could not reduce down the moisture content of sea cucumber below 7%. Quality attributes of AD sea cucumber were not acceptable with very low restoration rate and excessive hardness. For example, AD 100 had very low weight restoration rate of 23% and hardness of 22 N. IRAFD showed quite high restoration rates (weight: 50%, width: 82%, length: 91%) and acceptable hardness of 3.1 N. IRAFD consumed the minimal electrical energy of 120 kJ as compared to 209 kJ of FD. This study showed the potential application of IRAFD to produce the shelf stable dried sea cucumber with microbial safety.