본 연구는 반밀폐형 토마토 재배 온실에서 광합성율 극대화를 위한 적정 탄산가스 시비 농도를 구명하고자 광합성 모델을 이용하여 잎의 최대 카복실화율(Vcmax), 최대 전자전달속도(Jmax), 열파괴, 잎 호흡 등을 계산하고 실제 측정값과 비교하였다. 다양한 광도(PAR 200μmol·m -2 ·s -1 to 1500μmol·m -2 ·s -1 )와 온도(20°C to 35°C) 조건에서 CO2 농도에 대한 A-Ci curve는 광합성 측정 기기를 사용하여 측정하였고, 모델링 방정식으로 아레니우스 함수값 (Arrhenius function), 순광합성율(net CO2 assimilation, An), 열파괴(thermal breakdown), Rd(주간의 잎호흡)를 계산 하였다. 엽온이 30°C 이상으로 상승하였을 때 Jmax, An 및 thermal breakdown 예측치가 모두 감소하였고, 예측 Jmax의 가장 최고점은 엽온 30°C였으며 그 이상의 온도에서는 감소하였다. 생장점 아래 5번째 잎의 광합성율은 PAR 200－ 400μmol·m -2 ·s -1 수준에서는 CO2 600ppm, PAR 600－800μmol·m -2 ·s -1 수준에서는 CO2 800ppm, PAR 1000μmol·m -2 ·s -1 수 준에서는 CO2 1000ppm, PAR 1200－1500μmol·m -2 ·s -1 수준에서는 CO2 1500ppm을 공급했을 때 포화점에 도달하였다. 앞으로 광합성 모델식을 활용하여 과채류 온실 재배 시 광합성을 높일 수 있는 탄산시비 농도를 추정할 수 있을 것으로 판단된다.

Due to environmental pollution, regulations on existing petroleum-based fuels are increasing day by day. LNG is in the spotlight as an eco-friendly fuel that does not emit NOx or SOx, but its boiling point is -163°C, so it needs to be handled with care. Materials that can be used at the above temperature are defined by IMO through the IGC Code. Among them, 9% nickel steel has great advantages in yield strength and tensile strength under cryogenic conditions, but it is difficult to use in arc welding such as FCAW for various reasons. This study is a study to apply fiber laser welding to solve this problem. As a previous study, this study conducted a study to find a welding heat source. After performing bead on plate welding, the optimal heat source was derived by analyzing the shape of the bead and adjusting the parameters of the heat source model. In this case, by applying the multi-island genetic algorithm, which is a global optimization algorithm, not the intuition of the researcher, accurate results could be derived in a wide range.

The enhancement of heat transfer in cooling system of cylindrical lithium-ion battery pack is numerically investigated by installing fins on the cooling plate. Battery Design StudioⓇ software is used for modeling electro-chemical heat generation in the battery and the conjugated heat transfer is analyzed with the commercial package STAR-CCM+. The result shows that installing fins on the cooling plate increases the convective heat transfer on the surface and thus lowers the maximum temperature of the battery pack. As the length and thickness of the fins increase, heat transfer in the battery pack improves. Considering the geometry and airflow of the battery pack, the optimal values for the length and thickness of the fin are both 2mm. As the convective heat transfer coefficient of the surface increases, the maximum temperature of the battery pack is greatly reduced and the temperature gradient is greatly improved.

PURPOSES : In this study, we aimed to investigate the heat transfer characteristics of asphalt mixtures by water saturation. METHODS : On the basis of the literature review, the heat transfer characteristics of the samples were analyzed using a thermal accumulation experiment. The types of samples used were WC2 (dense asphalt mixture), ReWC2 (used 30% recycled aggregate), and PA13 (drainage asphalt mixture). The samples were compacted using a gyratory compactor. An infrared lamp simulating insolation was used to continuously heat the asphalt sample. Through this experiment, the upper and lower temperatures and heat flux of the specimen according to its thickness and condition were measured, and the change in its thermal conductivity was analyzed. RESULTS : The results of the laboratory experiment indicated that the dry sample showed lower thermal conductivity than the saturated sample. The amount of evaporation varied depending on the internal pores of the sample. Additionally, the amount of evaporation changed the heat transfer characteristics of the specimen. CONCLUSIONS : An asphalt mixture with high porosity decreased the degree of increase in thermal conductivity, compared to mixtures with low porosity, under semi-saturated conditions; this was attributed to the difference in thermal conductivity between air and water during saturation. The results of this study on the heat transfer characteristics of asphalt pavements could be used as basic data for thermal energy harvesting of asphalt pavements.

Recently, transfer learning techniques with a base convolutional neural network (CNN) model have widely gained acceptance in early detection and classification of crop diseases to increase agricultural productivity with reducing disease spread. The transfer learning techniques based classifiers generally achieve over 90% of classification accuracy for crop diseases using dataset of crop leaf images (e.g., PlantVillage dataset), but they have ability to classify only the pre-trained diseases. This paper provides with an evaluation scheme on selecting an effective base CNN model for crop disease transfer learning with regard to the accuracy of trained target crops as well as of untrained target crops. First, we present transfer learning models called CDC (crop disease classification) architecture including widely used base (pre-trained) CNN models. We evaluate each performance of seven base CNN models for four untrained crops. The results of performance evaluation show that the DenseNet201 is one of the best base CNN models.

Solar energy is being constantly studied since it can reduce green house gas by adapting cooling and heating system of domestic architecture as a clean energy source. This study confirmed the reliability of experimental apparatus with temperature measurement of each components by developing cooling and heating system which is combined with artificial solar thermal energy using halogen lamp and refrigerator, examined the heat transfer characteristics according to room internal temperature and lamp distance with the materials of emissive plate (acrylic, copper and stainless). As a result of it, We found that the room internal temperature 18℃ was finer than 21℃ and 24℃ in case of heat transfer rate according to each components. Also, copper in the material change of emissive plate was showed finer heat transfer effects than stainless because of high thermal absorptivity when lamp distance was short.

급변하는 환경에서 지속 가능한 경쟁우위를 확보하기 위해 기업들은 끊임없이 새로운 지식을 획득해야 한다. 인수합병이나, 지식재산권의 구매 등이 이를 위한 대표적인 수단이나, 합작회사의 설립도 보완자산을 내재화하기 위한 효과적인 지식 획득 방법으로 주 목받고 있다. 그러나 모든 합작회사가 새로운 지식을 성공적으로 획득하는 것은 아닌데, 이는 기업들이 획득하고자 하는 지식의 특성에 맞는 적절한 학습전략 및 조직 구조를 갖추지 못했기 때문인 경우가 많다. 본 연구는 이 같은 문제의식 하에 상황이론 관점에서 지식의 특성을 다차원 적으로 구분하고 지식 특성에 맞는 학습전략과 조직구조의 필요성을 자동차 부품분야의 국제 합작회사 사례를 통해 살펴보았다. 하드웨어 기술에 최적화된 사례 회사(국제 합작회사)는 다른 성격의 지식인 소프트웨어 기술을 습득하기 위해 차별화된 학습 전략과 조직구조를 갖추지 못했고, 이러한 미스매치로 인해 합작회사를 통한 새로운 지식(엔진제어시 스템 기술)의 흡수에 실패하였다. 본 연구는 기업이 성공적 지식흡수를 위해 고려해야 할 요소들을 이론적 프레임워크를 통해 제시하고 실증분석을 통해 이를 검증함으로써 합작회사 설립, 인수합병 등 조직 변화를 통해 동태적 역량을 확보하고자 하는 기업들에게 실무적 시사점을 제공하고 있다.

선박 기관실은 기술의 발전으로 인해 자동화 시스템이 향상되었지만, 해상에서는 바람, 파도, 진동, 기기 노후화 등의 다양한 변수가 많아 자동화 시스템에서 계측되지 않는 풀림, 절단, 누유, 누수 등이 발생하므로 기관사는 주기적으로 순찰을 한다. 순찰 시에는 1명의 기관사만 순찰하는 경우도 있으며, 이는 고온고압 및 회전기기가 운전 중인 기관실에서 많은 위험요소를 가지고 있다. 기관사가 순찰 시에는 오감을 활용하며, 특히 시각에 의존한다. 본 논문에서는 로봇이 기관실을 순찰하며 기기의 특이사항을 검출하고 알려주는 기관실 순찰 로봇을 구현하기 위한 선행연구로서 선박 기관실 기기의 이미지를 합성곱 신경망을 이용하여 분류하였다. 선박 기관실의 이미지 데이터 셋을 구성한 후 사전 훈련된 합성곱 신경망 모델로 학습하였다. 학습한 모델의 분류 성능은 높은 재현율을 보였으며, 클래스 활성화 맵으로 이미지를 시각화 하였다. 데이터의 양이 제한적이어서 일반화할 수는 없지만, 각 선박의 데이터를 전이 학습으로 학습시키면 적은 시간과 비용으로 각 선박의 특성에 맞는 모델을 구축할 수 있을 것으로 사료된다.

In this study, the effect of thermal grease and heat sink material of cooler on CPU temperature was measured and compared with LinX(v0.9.6) and HWMonitor.When the computer is booted without thermal grease applied, the CPU temperature rises rapidly, and the CPU temperature reaches 100℃ after 60 seconds for aluminum heat sink and 140 seconds for copper heat sink. The CPU temperature is lower as the thermal conductivity coefficient of thermal grease is higher, and the CPU temperature is lower when the thermal conductivity coefficient of the cooler is higher. In addition, when using a thermal grease and a heat sink with a high coefficient of thermal conductivity, the cooler rpm can be lowered, which is considered to be advantageous in terms of system stability and energy saving.

본 논문은 증기이송튜브를 이용한 현장경화 보강튜브 삽입공법(Cured in placed pipe, CIPP)의 성능을 평가하기 위한 실험적 연구이다. 연구를 위해 증기이송튜브를 이용하여 CIPP 라이너 시편 및 CIPP 라이너로 보수된 콘크리트관 실험체를 제작 하였다. CIPP 라이너 시편을 이용하여 단ㆍ장기 휨특성을 평가하였으며, 단기 휨특성 시험변수로 시점으로부터 떨어진 거리를 고려하였다. 단기 휨거동 평가결과 CIPP 라이너의 휨강도 및 휨탄성계수는 ASTM 기준에서 제시하고 있는 휨강도 및 휨탄성계수의 197%, 154% 수준으로 우수한 단기 구조 성능을 보이는 것으로 나타났다. 또한 시점부로부터 떨어진 거리와 CIPP 라이너의 단기 휨특성은 큰 상관관계가 없는 것으로 나타났다. 장기 휨거동 시험내용을 이용하여 1차원 회귀분석을 실시한 결과 50년 경과 후 CIPP 라이너의 휨 탄성계수는 초기 휨탄성계수의 87.8%로 우수한 장기 구조 성능이 나타났다. 이 후 CIPP 라이너로 보수된 콘크리트관 실험체의 외압강도시험을 실시하였다. 외압강도시험 변수로 보수 유ㆍ무 및 시점으로부터 떨어진 거리를 고려 하였다. CIPP 라이너로 보수된 콘크리트관의 외압강도는 보수되지 않은 콘크리트관에 비해 초기균열 하중은 16.8%, 최대하중은 7.7% 증가한 것으로 나타났다. 외압강도 시험결과 시점으로부터 떨어진 거리와 외압강도는 상관관계가 없는 것으로 나타났다. 이는 실험체 제작시 증기이송튜브를 이용하여 CIPP 내부 모든 구간에서 균일한 경화온도를 확보할 수 있었기 때문으로 판단된다.

Emission features formed through Raman scattering with atomic hydrogen provide unique and crucial information to probe the distribution and kinematics of a thick neutral region illuminated by a strong far-ultraviolet radiation source. We introduce a new 3-dimensional Monte-Carlo code in order to describe the radiative transfer of line photons that are subject to Raman and Rayleigh scattering with atomic hydrogen. In our Sejong Radiative Transfer through Raman and Rayleigh Scattering (STaRS) code, the position, direction, wavelength, and polarization of each photon is traced until escape. The thick neutral scattering region is divided into multiple cells with each cell being characterized by its velocity and density, which ensures exibility of the code in analyzing Raman-scattered features formed in a neutral region with complicated kinematics and density distribution. To test the code, we revisit the formation of Balmer wings through Raman scattering of the far-UV continuum near Lyβ and Lyγ in a static neutral region. An additional check is made to investigate Raman scattering of Ovi in an expanding neutral medium. We find a good agreement of our results with previous works, demonstrating the capability of dealing with radiative transfer modeling that can be applied to spectropolarimetric imaging observations of various objects including symbiotic stars, young planetary nebulae, and active galactic nuclei.

PURPOSES : This study aims to determine the type (e.g., melting point, freezing point, latent heat fusion) and optimal content of phase change material (PCM) based on the numerical and experimental analyses evaluating the effects of heat transfer in PCM-modified asphalt pavement systems. METHODS : The effect of PCM on the thermophysical properties of PCM-modified asphalt concrete can be taken as an effective volumetric heat capacity. The volumetric fraction of PCM was calculated using an iterative method. The numerical model was established and computed using the MATLAB 2020 software. The optimum PCM design tool was developed to select the type and contents of the PCM. The PCM was chosen based on the following criteria: black-ice-formation delay time, minimize temperature increase, and increase temperature area. To validate the numerical model, asphalt mixtures were modified with varying PCM contents, and the temperature response of the PCMmodified asphalt samples was examined via temperature test. RESULTS : The numerical results showed that incorporating PCM into the asphalt mixture can slow the cooling rate of the pavement system. The predicted results from the optimum PCM design tool were highly consistent with the measured values from the laboratory temperature test. CONCLUSIONS : The temperature of PCM-modified asphalt pavement can be predicted via numerical method. The effect of PCM on the thermophysical properties can be considered as effective volumetric heat capacity; while the volume fraction of PCM can be calculated via an iterative method. The accuracy of the numerical model was confirmed by a high agreement between the measured and predicted values.

The effect of flow direction on heat transfer in water cooling channel of lithium-ion battery is numerically investigated. Battery Design StudioⓇ software is used for modeling electro-chemical heat generation in the battery and the conjugated heat transfer is analyzed with the commercial package STAR-CCM+. The result shows that the maximum temperature and temperature difference of battery with Type 1 are the lowest because the heat transfer in the entrance region near the electrode is enhanced. As the inlet velocity is increased, the maximum temperature and temperature difference of battery decreases but the pressure loss increases. The pressure loss in Type 2 channel is the lowest due to the shortest channel length, while the pressure loss with Type 3 or 4 channel is the highest because of the longest channel length. Considering heat transfer performance and pressure loss, Type 1 is the best cooling channel.

Purpose: This study seeks to confirm the relationship between learning self-efficacy, learning satisfaction, and transfer motivation among nursing students who complete the integrated simulation practice class. Method: The data for the study were collected through self-report questionnaires administered to 4th year students and were analyzed using the SPSS 18.0 program. Results: The findings show that learning self-efficacy is 6.03±.69 (7 points), learning satisfaction is 4.23±.57 (5 points), and transfer motivation is 5.70±.90 (7 points). The transfer motivation has a positive correlation with both learning self-efficacy and learning satisfaction and learning self-efficacy has a positive correlation with learning satisfaction. The factors influencing the transfer motivation of nursing students are learning self-efficacy (β=.87, p<.001) and learning satisfaction (β=.24, p=.028), which together account for 61.9% of the transfer motivation. Conclusion: The results demonstrate that to enhance the transfer motivation for nursing students, it is necessary to develop a program and curriculum for increasing learning self-efficacy and learning satisfaction.