Bee traffic at the hive entrance can be used as an important indicator of foraging activity. We investigated patterns of honeybees and bumblebees near their hives as a basis for calculating bee traffic using the image deep learning. The flight pattern near the hive differed significantly according to bee at entering and leaving the hive. Honeybees mainly showed flight that changed flight direction more than once (69.5%), whereas bumblebees mainly performed straight flight (48.7%) or had a single turn (36.5%) in flight. When bees entered the hive, honeybees primarily showed one-turn or two-turn flight patterns(88.5%), and bumblebees showed a one-turn flight pattern (48.0%). In contrast, when leaving the hive, honeybees primarily showed a straight flight pattern (63.0%), and bumblebees primarily showed a straight or one-turn pattern (90.5%). There was a significant difference in flight speed according to the flight pattern. The speed of straight flight (0.89±0.47 m/s) was 1.5 to 2.1 times faster than flight where direction changed. Therefore, our results can help determine the capturing and recognizing the flying image of bees when calculating bee traffic by image deep learning.

A combination of a series of epoxy coatings filled with octadecylamine (ODA)-modified graphene oxide (mGO) or commercial exfoliated graphite nanoplatelets (xGnP) was developed to boost the anticorrosion performances of mild steel substrates in acidic and NaCl aqueous solutions. The xGnP and mGO were applied successfully as fillers for the preparation of layer by layer (LBL) xGnP or mGO/epoxy coatings, respectively, which were coated on the clean steel surfaces to form LBLassembled layers. The LBL-assembled xGnP or mGO/epoxy coating-coated steel substrates exhibit excellent anticorrosion performances. The corrosion potentials (Ecorr) of xGnP-1/xGnP-2/3 and mGO-1/mGO-2/3 display at − 193 and − 150 mV, respectively, while Ecorr of the bare steel shows at − 871 mV of immersion in the 3.5 wt% NaCl solution. The most positive Ecorr values are obtained for xGnP-1/2/3 (− 117 mV) and mGO-1/2/3 (− 66 mV), showing the best anticorrosion performances compared to the bare steel (− 404 mV) in 17 wt% HCl solution.

본 연구는 장미 ‘Bubble Gum’에 대한 수확 후 LED 광 환경 과 살균제 Azoxystrobin 보존용액 처리 시 절화품질에 미치는 영향을 구명하고자 수행되었다. 광은 백색 LED와 유색 LED (red:blue=5:1)로 처리하였고, 보존용액은 수돗물(tap water, TW)과 Azoxystrobin 0.05 mL･L-1를 처리하였다. 백색 LED처 리의 절화수명은 TW, Azoxystrobin처리구 각각 9.6일, 9.7일 로 LED 광과 보존용액 처리 간의 유의차가 없었다. 유색 LED 처리의 절화수명은 TW처리구가 13.6일, Azoxystrobin처리구 가 9.8일로, 유색 LED 처리구가 대조구(백색 LED + TW)에 비해 절화수명을 4일 연장시켰다. 절화수명 종료 증상은 LED 광 조건과 관계없이 Azoxystrobin처리구는 꽃잎 위조와 청변 화 증상을 감소시켰다. 모든 처리구에서 상대생체중과 수분흡 수율은 각각 처리 후 2일, 4일까지 증가하다 감소하는 경향을 보였다. 수확 직후 대비 처리 6일 후 화색 변화율과 잎의 엽록 소 함량은 수확 직후와 모든 처리구에서 차이가 없었으며, 화 폭증가율도 처리 간 차이가 없었다. 결론적으로 백색 LED + Azoxystrobin 보존용액처리는 절화장미의 꽃잎 위조와 청변화 증상을 감소시키지만, 절화수명 연장효과가 없었으며, 적색 +청색 LED 처리는 장미의 절화수명 연장효과에 효과적이었다.

PURPOSES : The objective of this study is to determine the characteristics of nitrogen oxide (NOx) concentration in an exclusive median bus lane station. The hourly variations of NOx concentration and the effect of traffic volume on NOx concentration were analyzed using NOx measurement data and the number of vehicles at the station. METHODS : Data were collected using the chemiluminescence method for NOx concentration. Atmospheric information and traffic volume of buses were collected from the Korea Meteorological Administration and Bus Information System, respectively. RESULTS : As a result, the NO2 concentration in the test section was found to have a strong correlation with those in the atmospheric measurement station located near the test-bed. In addition, the average NOx concentrations in the test section were significantly higher than those of the other monitoring stations due to bus emissions. The average NOx concentration in the exit section was higher than that in the entry section owing to the vehicle’s frequent stops and fuel consumption due to acceleration. During the measurement period, the average NOx concentration was measured as approximately 33 % higher in the exit section than in the entry section. In addition, the NOx concentration at the bus station was found to increase as the bus dwell time increased, rather than the number of bus passages. CONCLUSIONS : This study provides clear characteristics of the NOx correlations with traffic information in an exclusive median bus lane station. It was shown that the NOx concentration at the bus station increased as the number of passes and bus dwell time increased. According to the coefficient of determination, the dwell time is more closely correlated to the NOx concentration at the bus station than the number of bus passes, indicating that it is a better parameter for predicting NOx concentration at bus stations.