Honey bees are affected by a variety of factors, so they have to be thoroughly managed according to their lifestyle. The activity of the honey bee foragers represent an important parameter of the hive state. Here, the real-time and automatic monitoring system using dual infrared sensors was applied for counting the foraging activity of honey bees based on ICT. According to this study, this system is very accurate with a relative error of 3.98% / 4.43% compared to manual counting through video analysis. This system showed the scalability of the system through the internal and external temperature sensors connected through the main board and BLE module. Furthermore, the data measured through this system for one month were analyzed, the monthly average foraging activity and the number of lost foragers were measured (1.88% of outgoing bees), and at the same time, the foraging patterns according to the changes of temperature and time were analyzed. This study suggests that the development of apicultural, scientific and educational materials with more powerful real-time monitoring tools through expansion of a complex monitoring system and big data accumulation.

다육식물인 에케베리아(Echeveria)는 최근 전세계적으로 수요가 증가하고 있지만, 번식효율이 품종이나 환경 요인의 영향을 크게 받으므로 연중 고품질 묘를 공급하는 것이 어렵다. 이 연구는 밀폐형 식물공장 내에서 LED 파장 조합이 에케베리아 엽삽번식 효율에 미치는 영향을 구명하여 주년 생산의 기초자료를 제공하고자 실시되었다. 번식이 어려운 ‘Afterglow(AG)’, ‘Berkeley Light(BL)’, ‘Mason(MS)’, ‘Subsessilis Light(SL)’, ‘Cream Tea(CT)’, ‘Ben Badis(BB)’ 등 6품종의 모주로부터 균일한 잎을 채취하여 실내온도 24±2℃, 상대습도 60±10%의 식물공장 내에서 혼합상토에 삽목하였다. 청색(B, 450nm), 녹색(G, 530nm), 적색(R, 660nm), 원적색(FR, 730nm) LED를 이용하여 R10, R8+B2, R5+B5, R7+B2+FR1, R7+B2+G1의 비율로 광질을 달리하여 처리하였고, PPFD는 200μmol·m-2·s-1, 광주기는 16/8(명/암) 시간이었다. 그 결과, 번식 효율은 품종에 따라 차이가 있었는데, ‘SL’은 상대적으로 발근과 신초 형성이 쉽게 되었으나, ‘AG’는 발근과 뿌리 생장이 잘 되지 않았다. LED 파장 또한 번식효율에 영향을 주었는데, B 비율이 높은 R5+B5, R7+B2+FR1, R7+B2+G1 하에서 신초 형성과 생장이 촉진된 반면, 발근과 뿌리 생장은 억제되었다. 반대로, R 비율이 높은 R10나 R8+B2 하에서는 부정근 형성 및 생장이 촉진된 반면, 신초 형성 및 생장이 억제되었다. 한편, FR은 잎의 크기와 무게를 증가시켰다. 따라서, 번식이 어려운 에케베리아 품종의 엽삽 시 번식 효율을 높이기 위해서는 각 파장별 효과를 활용한 적정 파장 조성에 대한 연구가 필요하다.

식물에게 있어 화분매개는 필수적인 요소 중 하나인데, 화분매개를 하는 식물 중 50%이상이 곤충에 의해 화분매개가 이루어지고 있다. 화분매개를 하는 곤충에 대한 조사는 주로 농업과 관련되어 있는 과수작물 주변의 화분매개곤충에 대해 조사가 되어있지만, 정작 양봉과 관련되어 있는 밀원식물 주변의 화분매개곤충은 조사된 바가 없다. 이에 연구진은 밀원식물 중 국내에서 가장 많은 양봉생산물을 만드는 아까시나무(Robinia pseudoacacia L.)의 개화시기에 맞춰서 화분매개곤충을 조사하였다. 조사지역은 총 6군데로, 백두대간을 중심으로 RCP 기후변화 시나리오에 의해 지정되었다. 조사 결과, 전체적으로 6목 60과 183종 1,555개체의 화분매개곤충이 채집되었다. 이중, 가장 많이 채집된 종은 노린재목의 애긴노린재(Nysius plebejus)로 약 21.30%가 채집되었다. 채집된 종을 군집분석한 결과, 강릉지역이 가장 안정적인 생태계를 유지하고 있으며, 완주지역이 가장 불완전한 생태계를 유지하고 있는 것으로 확인되었다.

Global climate change and increased international travel have affected the transmission of mosquito-borne diseases. In South Korea, uncommon diseases such as Dengue, chikungunya and Zika virus could be transmitted by potent mediator like Aedes albopictus. In order to cope with the risk of mosquito-borne diseases, rapid mosquito monitoring system is needed. Current mosquito monitoring procedures include installation of outdoor traps-mosquito collection-species classification-analysis of disease detection – upload of information to government research institutes – disease alert. In this process, species classification takes a lot of time, and if we reduce the time, we can cope with the disease outbreak more quickly. In this study, we developed automate species classification system target for 5 mosquito species (Culex pipiens, Cx. tritaeniorhynchus, Ae. albpictus, Ae. vexans, Anopheles spp.) disease vector live in South Korea. After modeling the morphology of each mosquito species, machine learning was carried out using DenseNet (Densely Connected Networks), one of the models of Artificial Neural Network. Using the learned model, we tested the classification of 5 species of mosquitoes and showed the accuracy from 97.35% to 99.48% at the maximum. Future research will focus on increasing the number of identifiable mosquito species and reducing the time spent on species classification. The autonomous classification of mosquito species using Deep Learning technology will contribute to the development of mosquito monitoring system and public health.

Mosquitoes are transmit many dangerous disease such as malaria, yellow fever and dengue fever. So far, chemical insecticides such as DEET have been mainly used to control mosquitoes, but there are many side effects. This study used ultrasonic sounds as an alternative to chemical insecticides. We found that Culex pipiens, which are common in Korea, exhibit avoidance behavior in a specific ultrasonic frequency. Through electrophysiological recording, we have inferred that avoidance behavior is caused by different from each other mechanisms depending on the ultrasonic frequency. Using immunohistochemical staining, we analyzed the expression pattern of auditory related genes in the chordotonal organ. Quantitative real time-PCR was used to compare the expression levels of auditory related gene depending on the time of exposure to ultrasonic sounds.

The genus Docirava Walker, [1863] belongs to the tribe Chesiadini of the family Geometridae with only 12 described species in the world. The genus could be distinguished from other genera of Chesiadini with the characters, which had been described by walker in original description as follow : “Proboscis slender, rather long….Legs long, very slender; hind tibiae with four rather short and slender spurs”. In this study, the genus Docirava was first recorded with a new species Docirava sp. nov. with DNA barcode. Also, all the available information including images for both of genitalia and adult, wing venation and descriptional study was provided.

The catch composition of commercially important species of the stationary lift net at Barangay Gines, Miagao, Iloilo, the Philippines was investigated from December 2013 to May 2014 during the different phases of the moon. A total of 486 kg of fish coming from 12 different genera, including mollusk and crustaceans, was caught and identified from the catch of the stationary lift net. Among the 12 genera identified from the catch of stationary lift net, anchovy (Stolephorus), sardines (Sardinella), squid (Loligo) and mysid shrimp (Acetes) were considered to be commercially important due to their value. Acetes catch was highest during the new moon in the month of January. Loligo catch was also high during the new moon except in the month of May. Stolephorus catch was also highest during the new moon except in the month of January. Sardinella catch was highest during the first quarter in the month of February. Full moon had the lowest catch all throughout the duration of the study while new moon had the highest catch during December 2013 to March 2014 and first quarter was the highest in the months of April and May.

We experimented to see if the tolerance of Agaricus bisporus to Pseudomonas sp. causing the bacterial brown blotch disease which is causing great damage in the button mushroom cultivation was inherited. There was no correlation between mycelial growth rate and mushroom tolerance to pathogens at each temperature. In the mycelial stage, the strains tolerance to Pseudomonas sp. were not as strong as those of their parents, but they were generally stronger or more tolerance than those of weaker strain (ASI1321). In fruiting body, tolerance was decreased compared to mycelial. In fruiting body, later generations of two strains had similar tolerance, unlike strong or weak tolerance of parental generation. Therefore, browning of fruit body is thought to be caused not only by tolerance but also by various other factors. Especially, the future generation of the strains which were tolerance to Pseudomonas sp. were very weak in the mycelial stage, indicating that the tolerance of the parental generation was inherited to the later generations. The damage of each pathogen was different in mycelium and fruiting body. P. tolaasii caused higher browning than P. agarici in fruit body. P. reactans did not have a significant effect on the mycelium but affected the browning of the fruit bodies. P. agarici had higher mycelial growth inhibitory ability than fruiting body.

Poria cocos is an edible and pharmaceutical mushroom with a long history of medicinal use in Korea. For the last 30 years, the domestic cultivated supply of Poria cocos has been unable to meet consumer demand, so Poria cocos is collected in mountainous areas and also imported from China. Thus, to increase the supply of Poria cocos, many artificial cultivation methods have been studied. In this study, Poria cocos is cultivated under different environmental conditions using plastic bags and the results compared. When cultivating Poria cocos at different temperatures (20, 25, 30 and 35oC) and using different numbers of plastic bag layers (1, 2), the most efficient cultivation conditions were a temperature of 25-30oC and 2 plastic bag layers. The fastest growth was at 25-30oC, and the Poria cocos exhibited no weight change when cultivated using layers of plastic bags (1, 2).

This study examines the determinants of the member customer’s decision of redeeming versus accumulating loyalty program (LP) points by focusing on the effects of the different channels of transaction (online versus offline) and the demographic information of member customers. Our study is based on customer-level demographic and transaction data on a major partnership LP in Korea, the OK Cashbag (OCB) program. This study differs from the existing literature in three aspects. First, the dataset employed for this study enables us to compare member customers’ point redemption behavior between online and offline channels, whereas previous studies demonstrate coupon redemption behavior either in an online (Chiou-Wei and Inman 2008) or an offline setting (e.g., Cronovich 1997; Kwon and Kwon 2007; Mittal 1994; Reibstein and Traver 1982; Ward and Davis 1978). Second, the current study investigates not only the main effects of demographic variables, but also a series of interaction effects between the online channel and each demographic variable. Clear empirical evidence of an interaction effect would provide an LP provider with significant managerial implications. Third, rich data on customers’ transaction behavior with matching demographic information for each member customer enable us to conduct both transaction-level and individual customer-level analyses. Therefore, an individual customer’s transaction behavior can be analyzed in more detail for robust results and richer implications. We find that transactions that occur through online channels and those made by younger customers demonstrate a greater tendency of redeeming LP points as opposed to accumulating them. We also find that online channels exhibit a moderating role by mitigating the demographic effects on member customers’ point redemption behavior. These findings allow the LP provider to predict the future LP point balance by analyzing its main channel of transaction and the demographic profiles of its member customers.

The purpose of this research is to initiate discussion to simplify existing tools and methods for managing projects which make project management a harder job to perform and a tougher task to handle. Additionally, summarizing the definitions of “project” that have been found from reviewing the relevant literature, it deliberates on revising the duties and responsibilities of project manager and proposes performance expectancy triangle explaining a relationship among accountability, responsibility and authority – the Tri-butes. It sheds light on several factors critical to the success of projects. Finally, we propose a function indicating that customer demands or desires greatly affect project complexity.