In this paper, the model for predicting yields of chinese cabbages of each cultivar (joined-up in 2015 and wrapped-up in 2016) was developed after the reflectance of hyperspectral imagery was merged as 10 nm, 25 nm and 50 nm of FWHM (full width at half maximum). Band rationing was employed to minimize the unstable reflectance of multi-temporal hyperspectral imagery. The stepwise analysis was employed to select key band ratios to predict yields in all cultivars. The key band ratios selected for each of FWHM were used to develop the yield prediction models of chinese cabbage for all cultivars (joined-up & wrapped-up) and each cultivar (joined-up, wrapped-up). Effective accumulated temperature (EAT) was added in the models to evaluate its improvement of performances. In all models, the performance of models was improved with adding of EAT. The models with EAT for each of FWHM showed the predictability of yields in all cultivars as R2≥0.80, RMSE≤694 g/plant and RE≤28.3%. Such as this result, if the yield can be predicted regardless of the cultivar, it is considered to be advantageous when predicting the yield over a wide area because it is not require a cultivar classification work as pre-processing in imagery.

In this study, the explosion processes of the battery according to by heating was identified using complex sensors including temperature, infrared (IR), visible, and ultraviolet (UV) sensors. A safe chamber was prepared for the explosion of the batteries according to heating. In order to detect signals from the battery during heating, complex sensors including temperature, IR, visible, and UV sensors were used inside the safe chamber. The heating was increased from room temperature to 165℃ at 10℃/min and then, kept 165℃. During the heating was kept at 165℃, the battery was exploded and a temperature was increased up to 380℃ abruptly due to explosion of the battery. Before the battery was exploded, the signals of the sensors were not detected. However, during explosion of the battery, the signals of IR, visible, and UV sensors were strongly detected. By analyzing various signals of the these sensors, the explosion of the battery according to heating was investigated.

In this analysis, the analytical model was verified through the normal mode analysis of the piston for the 2.9 liter IDI (indirect injection) engine. Heat transfer analysis was carried out by selecting two cases of applied temperature using the validated model. The first case was a condition of 350℃ on the piston upper surface and 100℃ on the piston body and inner wall. In the second case, the conditions were set to give a temperature of 400℃ on the upper surface of the piston and 100℃ on the piston body and the inner wall. In addition, the temperature distribution due to heat transfer was obtained for the pistons with boundary conditions of two cases, and then the thermal stress distribution due to thermal expansion was obtained using the input. Using this analysis result, the thermal stress caused by thermal expansion due to the thermal conduction of the piston is examined and used as the basic data for design.

Bismuth vanadate (BiVO4) is considered a potentially attractive candidate for the visible-light-driven photodegradation of organic pollutants. In an effort to enhance their photocatalytic activities, BiVO4 nanofibers with controlled microstructures, grain sizes, and crystallinities are successfully prepared by electrospinning followed by a precisely controlled heat treatment. The structural features, morphologies, and photo-absorption performances of the asprepared samples are systematically investigated and can be readily controlled by varying the calcination temperature. From the physicochemical analysis results of the synthesized nanofiber, it is found that the nanofiber calcines at a lower temperature, shows a smaller crystallite size, and lower crystallinity. The photocatalytic degradation of rhodamine-B (RhB) reveals that the photocatalytic activity of the BiVO4 nanofibers can be improved by a thermal treatment at a relatively low temperature because of the optimization of the conflicting characteristics, crystallinity, crystallite size, and microstructure. The photocatalytic activity of the nanofiber calcined at 350oC for the degradation of RhB under visible-light irradiation exhibits a greater photocatalytic activity than the nanofibers synthesized at 400oC and 450oC.

Temperature-dependent development models for Hydrochara affinis were built to estimate the ecological parameters as fundamental research for monitoring the impact of climate change on rice paddy ecosystems in South Korea. The models predicted the number of lifecycles of H. affinis using the daily mean temperature data collected from four regions (Cheorwon, Dangjin, Buan, Haenam) in different latitudes. The developmental rate of each life stage linearly increased as the temperature rose from 18°C to 30°C. The goodness-of-fit did not significantly differ between the models of each life stage. Unlike the optimal temperature, the estimated thermal limits of development were considerably different among the models. The number of generations of H. affinis was predicted to be 3.6 in a high-latitude region (Cheorwon), while the models predicted this species to have 4.3 generations in other regions. The results of this study can be useful to provide essential information for estimating climate change effects on lifecycle variations of H. affinis and studies on biodiversity conservation in rice fields.

본 연구는 미얀마에서 생산된 용과, 망고스틴, 파파야, 파인 애플을 저장하면서 저장온도에 따른 상품성 조사하여 선도유 지기간 향상을 위한 저온유통시스템 구축의 필요성을 제시하고자 수행되었다. 이를 위해 저장온도를 상온, 10oC, 4oC로 하여 8주 동안 저장하면서 과실의 품질변화를 측정한 결과를 요약하면 다음과 같다. 1. 미얀마에서 과실을 상온 유통 할 경우 수분감소 및 부패 발생으로 유통기간이 1주일 이내로 짧아짐을 확인하였다. 2. 중량감소율은 모든 처리에서 저장기간이 경과할수록 증가하는 경향이었고, 상온 저장의 경우 저장 1주 만에 중량감 소율이 20% 정도였으나 4oC 저온저장은 저장 6주까지 중량 감소율이 20% 이내로 조사되었다. 3. 모든 과실에서 부패는 저장온도가 높을수록 많이 발생하 였고, 10oC 이하로 저장하였을 때 4~5주 정도 저장기간을 연장 할 수 있었다. 4. 본 연구의 결과를 통해 10oC 저온저장이 과실의 저장성 향상에 가장 우수하였으나, 향후 각 품목별 수확 숙기에 따른 저장성 구명, 최적 저장 온도 설정 및 상대습도에 따른 저장 기간 구명 등 저장성 향상 및 유통기간 연장을 위한 다양한 연구가 필요할 것으로 판단된다.

신품종 감자 ‘아리랑1호’는 농촌진흥청 국립식량과학원 고령지농업연구소에서 2018년도 육성되었다. ‘아리랑1호’는 ‘Frontier’ 품종을 모본으로 하고 ‘대관1-117호’ 계통을 부본으로 2011년 교배하여, 장일 고온 조건에서 식물체 생육 및 괴경의 형성과 비대가 양호하여 다수확 할 수 있는 계통으로 선발되었다. 중앙아시아(여름재배)와 국내 평난지(강릉, 봄재배) 및 고랭지(대관령, 여름재배)에서 2014~2015년 생산력 검정을 통해 ‘대관1-150호’로 계통명을 부여하고, 2016~2018년 지역 적응성검정 시험을 거쳐 ‘아리랑1호’로 명명하였다. ‘아리랑1 호’의 초형은 반직립형으로서 초세가 강하고 왕성하다. 괴경모 양은 짧은 계란형이며, 괴경 색깔은 표피와 육질부 모두 황색이다. ‘아리랑1호’의 경장은 67.1 cm로 대조품종인 ‘수미’, ‘산테’보다 긴 반면, 경수는 3개 내외로 대조품종과 유사하다. 주당 괴경수는 9.0개로 ‘수미’(5.4개) 보다 많은 반면, ‘산테’ (14.1개)보다 적다. 괴경당 평균 무게와 포기당 총 괴경중은 각 각 96.1 g 및 865 g으로서 대조품종보다 무겁다. 겹둥근무늬병 과 역병에 대하여 중도저항성이며, 바이러스병과 더뎅이병에 있어서는 감수성을 나타낸다. 건조에 대한 저항성은 ‘산테’나 ‘수미’보다 강한 중도저항성으로 평가되었다. 비중과 건물율은 ‘수미’보다 높고 ‘대서’와 유사하며, 감자칩 품질은 ‘대서’와 같이 우수한 것으로 평가된다. ‘아리랑1호’의 단위면적당 상서수량은 국내의 경우 3,360 kg·10a-1으로 ‘수미’ 보다 57% 더 많 고, 중앙아시아에서는 3,070 kg·10a-1으로 ‘산테’ 보다 약 55% 더 많았다. 신품종 감자 ‘아리랑1호’는 장일 고온 건조한 지역에서 기형, 이차생장 등이 적고 다수성을 나타내어 중앙아시아 등 해외 진출에 유망한 품종으로 판단된다.

PURPOSES : Pavement growth (PG) of concrete pavement has been recognized as a major concern to highway and airport engineers as well as to road users for many years. PG is caused by the pressure generation in the concrete pavement as a result of a rise of the concrete temperature and moisture. PG could result in concrete pavement blowup and damage the adjacent or the nearby structures such as bridge structures. The amount of the PG is affected by the complicated interactions of numerous factors such as climatic condition, amounts of incompressible particles (IP) infiltration into the joints, pavement structure, and materials. Trigger temperature for pavement growth (TTPG) is defined as the concrete temperature when all transverse cracks or joints within the expansion joints completely close and generating a pressure in the pavement section. It is one of the most critical parameters to evaluate the potential of PG occurring in the pavement. Unfortunately, there are no available methods or guidelines for estimating TTPG. Therefore, this study aims to provide a methodology to predict TTPG of a concrete pavement section. METHODS : In this study, a method to evaluate the TTPG and its influencing factors using the field measured data of concrete pavement expansions is proposed. The data of the concrete pavement expansions obtained from the long-term monitoring of three concrete pavement sections, which are I-70, I-70N, and Md.458, in Maryland of United Stated, were used. The AASHTO equation to estimate the joint movement in concrete pavement was used and modified for the back-calculation of the TTPG value. A series of the analytical and numerical solutions presented in the literatures were utilized to predict the friction coefficient between the concrete slab-base and to estimate the maximum concrete temperature of these three pavement sections. RESULTS : The estimated maximum concrete temperature of these three pavement sections yearly exhibited relatively constant values, which range from 40 to 45 °C. The results of the back-calculation revealed that the TTPG of the I-70 and Md.58 sections decreased with time. However, the TTPG of the I-70N section tended to be relatively constant from the first year of the pavement age. CONCLUSIONS : The estimation of the TTPG for the three concrete pavement sections showed that the values of the TTPG gradually decreased although the yearly maximum concrete pavement temperature did not change significantly.

참다슬기 아가미 조직으로부터 heat shock protein 70 유전자를 분리 · 동정하였다. 참다슬기 HSP70 cDNA의 open reading frame (ORF)는 1,917 bp로 639개의 아미노산을 암호화하여 분자 량은 약 70 kDa으로 예측되었다. 생물정보학 배열분석에 의해 HSP 유전자 기능과 관여되어 있는 3가지 주요 signature motifs와 보존된 도메인을 확인하였다. 계통학적 분석을 통하여 참 다슬기 HSP70 유전자는 왕우렁이 Pomacea canaliculate와 같은 클러스트에 포함된다는 사실을 확인하였다. 수온 및 염분 변화에 따라, 참다슬기 HSP70 mRNA 유전자 레벨은 유의적으로 증 가하였으며(p < 0.05), 이는 외부자극요인을 파악할 있는 분자생물학적 마커로서 활용될 수 있 을 것으로 사료된다.

본 연구에서는 뇌파와 맥파를 이용한 생체신호 분석을 통해 자율주행차량 사용자에게 안정감을 유발하는 최적의 색온도를 제안하고자 하였다. 이를 위해 3000 K, 4000 K, 5000 K, 6000 K의 색온도를 갖는 조명을 자율주행 환경에 적용하여 제시하였다. 실험은 자동차 그래픽 시뮬레이터가 구비된 실험실에서 진행되었으며, 실험절차는 다음과 같다. 1) 안정기(5분), 2) U-K테스트(3분), 3) 자율주행+조명(3분). 이 과정은 색온도를 변경해가며 총 4회 반복되었다. 수집된 시계열데이터에 대해 주파수 분석을 실시하였고 파워 스펙트럼 분석을 통해 주파수 대역별 power값을 산출하였다. 뇌파는 안정의 지표인 α파와 각성의 지표인 β에 대해 분석을 실시하였으며, 맥파의 경우 교감신경계 활성도에 대해 분석을 실시하였다. 산출된 데이터는 연구대상자 개인 간 편차를 줄이기 위해 정규화하여 통계분석을 실시하였다. 1차 분석 결과, 뇌파의 경우 5000 K의 조명을 제시하였을 때 α파가 가장 높았고, 대부분의 조명 제시 상황에서 β파가 증가하였다. 맥파의 경우 주행 상황에서 SNSA가 증가하였다. β파와 SNSA에 대한 2차 분석 결과, 유의수준 5%에서 색온도 간 유의한 차이가 인정되지 않았다. 결론적으로, α파가 가장 높은 5000 K의 색온도가 안정감을 유발한다고 볼 수 있다. 이러한 결과를 자율주행차량에 적용한다면, 탑승자의 높은 만족도를 유발할 수 있을 것으로 보인다. 나아가, 이와 같은 긍정적인 효과가 자율주행차량의 수용으로 이어질 수 있다.