대다수의 부유식 해양플랜트는 위치 유지의 방법으로서 체인 계류 시스템을 사용하나, 그 설계 변경 과정은 논문으로 찾아보 기 힘들다. 본 연구는 FLBT를 대상 해양플랜트로 선정하여 계류 초기설계안과 모형시험을 수치해석으로 분석하고, 변경된 설계조건에 따 라 새로운 계류 설계안을 제시하였다. 주된 환경 방향에 따라 계류선 묶음(bundle)의 주 방향을 조절하는 것이 계류 설계하중 감소에 크게 유효했다. 터렛 계류된 해양플랜트라도 횡파에 노출되며, 횡파 중 운동 때문에 높은 계류 인장력이 발생했다. 일치된 환경 방향 조건은 설 계조건이 될 수 없으며, 바람, 파도, 조류의 각 환경 방향이 복잡한 조건에서 설계 계류 하중이 발생했다. 횡요 운동이 계류 인장력에 미치 는 영향이 큼으로 적절한 횡요 감쇠 계수를 계류해석에 적용하는 것이 중요하다.
Thermoelectric materials and devices are energy-harvesting devices that can effectively recycle waste heat into electricity. Thermoelectric power generation is widely used in factories, engines, and even in human bodies as they continuously generate heat. However, thermoelectric elements exhibit poor performance and low energy efficiency; research is being conducted to find new materials or improve the thermoelectric performance of existing materials, that is, by ensuring a high figure-of-merit (zT) value. For increasing zT, higher σ (electrical conductivity) and S (Seebeck coefficient) and a lower к (thermal conductivity) are required. Here, interface engineering by atomic layer deposition (ALD) is used to increase zT of n-type BiTeSe (BTS) thermoelectric powders. ALD of the BTS powders is performed in a rotary-type ALD reactor, and 40 to 100 ALD cycles of ZnO thin films are conducted at 100oC. The physical and chemical properties and thermoelectric performance of the ALD-coated BTS powders and pellets are characterized. It is revealed that electrical conductivity and thermal conductivity are decoupled, and thus, zT of ALD-coated BTS pellets is increased by more than 60% compared to that of the uncoated BTS pellets. This result can be utilized in a novel method for improving the thermoelectric efficiency in materials processing.
식용 옥수수 수확기는 수확 시 옥수수 이삭의 손상율을 결정하는 탈과 시스템이 중요하다. 탈과 시스템을 개발하기 위해서는 탈과 시스템의 손상율에 영향을 미치는 주요 설계 변수를 구명해야 하고, 설계 변수의 영향 분석에는 시뮬레이션 기법이 많이 사용되고 있다. 본 연구의 목적은 탈과 시스템의 시뮬레이션 해석에 사용할 옥수수 줄기에 대한 이산요소 모델을 개발하는 것이다. 식용 옥수수의 특성을 고려하기 위하여 옥수수 줄기의 물리적 특성을 분석하였으며, 만능재료시험기를 이용한 압축 시험과 3점 굽힘 시험을 통하여 역학적 특성을 확인하였다. 또한, 옥수수 줄기의 이산요소 모델은 접촉 모델과 결합 모델로 구현하였고, 매개변수 연구를 통해 이산요소 모델의 주요 파라미터를 도출하였으며, 시험 결과와 비교하여 개발된 이산요소 모델을 검증하였다. 본 연구로부터 개발된 옥수수 줄기 모델은 탈과 시스템의 시뮬레이션에 활용된다.
This study was conducted to apply with an air duct for the cooling and a utilizing cultivating method that uses the fruiting node and the defoliation to the high-temperature vertical and hydroponic cultivation of the oriental melon. The lower fruiting node (LF) was to remove all third vines generated from 5 nodes of a secondary vine. The higher fruiting node (HF) was fruiting on the third vine generated from a first node of the third vine. The direction of the stem string; upward (UW), downward (DW). Four treatment conditions were applied with the LF-UW, LF-DW, HF-UW (control), and HF-DW. The leaf age of melon leaves was measured for photosynthesis at 3 days intervals, and the fruit characteristic was conducted on 79 fruits in each treatment. The photosynthesis rate steadily increased after leaf development, reaching 20.8 μmol CO2·m-2·s-1 on the 10 days, gradually increasing to 21.3 μmol CO2·m-2·s-1 on the 19 days, and reaching 23.4 μmol CO2·m-2·s-1 on the 32 days. After that, it lowered to 16.8 μmol CO2·m-2·s-1 on the 38 days and dropped significantly to 7.6 μmol CO2·m-2·s-1 on the 47 days. As a result of the fruit characteristics by fruiting nodes, the treatments of the fruit length was 12.6-13.4 cm, respectively, which was significant, and the fruit width was 7.9- 8.6 cm, respectively, was not significant. The soluble content ranged from 12.9 to 15.7°Brix, and the significance of all treatments, and higher than of LF-DW and HF-UW. The photosynthesis rate of melon leaves was good until 32 days after leaf development, but after that, the rate decreased. As for fruit quality, it was conformed that melons can be cultivated at the LF because the fruit enlargement and soluble content dose not decrease even when set at the LF. Results indicated that those can be used for LF and defoliation in the development of vertical and hydroponic cultivation method in high-temperature season.
본 연구는 주요 참나무류 수종인 신갈나무, 굴참나무, 상수리나무의 임분밀도와 생장과의 관계를 파악하고 수종 간 비교를 통해 생장 유사성 여부를 판별하여 임분밀도관리도 개발 시 주요 참나무류의 생장 예측 모형개발의 방향성을 제시하기 위해 실시하였다. 제7차 국가산림자원조사의 신갈나무, 굴참나무, 상수리나무 우점림과 참나무류 혼효림의 임분생육 자료를 기반으로 수종별 경쟁-밀도효과 곡선을 산출하고 수종 간 교차 적용 후 차우검정(Chow test)을 통해 생장 유사성을 평가하였다. 수종별 경쟁-밀도효과 곡선은 ha당 1,000본에서 평균 재적이 급격히 감소하는 경향을 보이는 역 J자형을 나타내었다. 생장 유사성 평가 결과, 상수리나무와 굴참나무는 유사한 생장 패턴을 보였지만 신갈나무는 상수리나무 및 굴참나무와 생장 패턴에 차이가 있는 것으로 나타났다. 참나무류 혼효림은 굴참나무를 제외한 다른 수종들과 유사한 생장 패턴을 나타내었다.
The purpose of this study was to verify the sensitive areas when the AI determines osteoporosis for the entire area of the panoramic radiograph. Panoramic radiographs of a total of 1,156 female patients(average age of 49.0±24.0 years) were used for this study. The panoramic radiographs were diagnosed as osteoporosis and the normal by Oral and Maxillofacial Radiology specialists. The VGG16 deep learning convolutional neural network(CNN) model was used to determine osteoporosis and the normal from testing 72 osteoporosis(average age of 73.7±8.0 years) and 93 normal(average age of 26.4±5.1 years). VGG16 conducted a gradient-weighted class activation mapping(Grad-CAM) visualization to indicate sensitive areas when determining osteoporosis. The accuracy of CNN in determining osteoporosis was 100%. Heatmap image from 72 panoamic radiographs of osteoporosis revealed that CNN was sensitive to the cervical vertebral in 70.8%(51/72), the cortical bone of the lower mandible in 72.2%(52/72), the cranial base area in 30.6%(22/72), the cancellous bone of the mandible in 33.3%(24/72), the cancellous bone of the maxilla in 20.8%(15/72), the zygoma in 8.3%(6/72), and the dental area in 5.6%(4/72). Consideration: it was found that the cervical vertebral area and the cortical bone of the lower mandible were sensitive areas when CNN determines osteoporosis in the entire area of panoramic radiographs.