Recently the meaning of the road name address is expended as an information through the revision of the Road Name Address Act. As this revision, the address of things (AoT) become more important indicating the possibility for the expansion to the related business. However, recent study about AoT does not concern how the current priority system works from the first research. In this study, we analyze perception about addressable object between AoT experts and public using AHP analysis. We structured the importance of addressable objects as two categories; urgency and value creation. The necessity in emergency or daily, accessibility and welfare conform the urgency index. Meanwhile, public value creation in public domain or profitability in the business area and economics conform value creation index. We conducted survey for total of 89 of experts and public. The results of this study indicate the relative importance of AoT measured by experts and public. Generally, public tend to concern more about accessibility conforming the urgency index than experts. Moreover, the public WiFi and the sports complex scored the high priority among the remain addressable objects, in respect of the urgency and the value creation. This result could be implemented for the activation of the smart city industry base on the geospatial information including AoT.

In recent years, various methods of measuring body temperature have been developed using wireless biosensors to facilitate an early detection of pregnancy and parturition in cows. However, there are no studies on real-time monitoring of cattle body temperature throughout pregnancy. Therefore, we investigated the daily mean ruminal temperature in pregnant cows throughout pregnancy using a ruminal bio-capsule sensor and then evaluated the temperature variation between pregnant and non-pregnant cows. In pregnant cows, the mean and standard deviation of ruminal temperature was 38.86 ± 0.17℃. Ruminal temperature in pregnant cows slowly decreased until 180 to 190 days after artificial insemination and after that, the temperature increased dramatically until just before parturition. Furthermore, the means ruminal temperature was significantly different between pregnant and nonpregnant cows. The mean and standard deviation of ruminal temperature were as follows: 38.68 ± 0.01℃ from days 80 to 100, 38.78 ± 0.02℃ from days 145 to 165, 38.99 ± 0.45℃ from days 200 to 220, 39.14 ± 0.38℃ from days 250 to 270 before parturition. Therefore, our results could provide useful data for early detection of pregnancy and parturition in Korean cows.

백색칼라(Zantedeschia aethiopica) 신품종 ‘Swan’은 국립원 예특작과학원에서 2017년에 육성하였다. ‘Swan’의 모본은 다화성인 ‘Childsiana’와 무름병에 강한 ‘Wedding March’를 부본으로 2004년에 교배하여 구근을 양성 후 2008년부터 2016년까지 생육 및 개화 특성, 균일성에 대하여 특성검정을 실시하였다. 2017년에 3차 특성검정을 실시하여 최종 선발한 후 직 무육성품종심의회에 상정하여 ‘Swan’으로 명명하였다. ‘Swan’ 의 생육 및 개화특성은 부본으로 사용된 ‘Wedding March’를 대조품종으로 조사하였다. 백색(RSH W155C)화색의 ‘Swan’ 은 화포의 길이와 폭이 각각 11.2cm와 10.3cm인 중형 품종이다. 주당 화수는 2.1개로 대조품종보다 2배 많으며 꽃대길이가 77.1cm로 대조품종(68.7cm)보다 길다. 개화소요일수는 65 일로 조기개화 품종이다. 절화수명은 17일(대조12일)로 길며, 무름병 중도저항성으로 구근증식량(13.3개/주)이 우수하고 소비자기호도가 높다. ‘Swan’ 품종은 2020년 4월 28일에 국립종 자원에 품종등록(등록번호 제8092호)되었다.

본 연구는 국내 자생하는 진달래속(Rhododendron) 종들의 종자 휴면유형 분류 및 발아특성 구명을 목표로 하였다. 진달래속 종들의 배는 형태적휴면(MD)이 없는 완전히 발달된 직선(linear) 형태였으며, 만병초 및 꼬리진달래 종자는 탈리 시점에 이미 휴면이 없는 것으로 밝혀졌다. 반면에 털진달래 종자는 population 수준에서 부분적으로 생리적휴면(PD)을 가지고 있는 것으로 나타났다. 털진달래의 이러한 생리적휴면 (PD)은 외생 지베렐린(GA3) 1,000mg･L-1 처리를 통해 타파될 수 있었다. 그러나 4℃에서의 저온층적처리는 털진달래 종자 휴면 타파에 효과가 없는 것으로 나타났다. 종합적으로 판단 했을 때, 진달래속(Rhododendron) 종들의 적정 발아 환경조 건은 광조건･25/15℃(만병초), 암조건･20/10℃(꼬리진달래), 광 조건･25/15℃(털진달래)로 확인된다. 진달래속(Rhododendron) 에서의 종간 차이(interspecific variation)로 인해 모든 종이 종자 휴면유형 또는 발아특성에서 구별이 되었다. 본 연구는 국내 자생하는 진달래속(Rhododendron) 종들의 생리･생태 특성을 이해하는 데 이용될 수 있을 것이다.

Under the stressed condition, a complex feedback mechanism for stress is activated to maintain homeostasis of the body and secretes several stress hormones. But these stress hormones impair synthesis and secretion of the reproductive hormones, followed by suppression of ovarian function. Cytochrome P450 1A2 (CYP1A2) plays a major role in metabolizing exogenous substances and endogenous hormones, and its expression is recently identified at not only the liver but also several organs with respect to the pancreas, lung and ovary. Although the expression of CYP1A2 can be also affected by several factors, understanding for the changed pattern of the ovarian CYP1A2 expression upon stress induction is still limited. Therefore, CYP1A2 expression in the ovaries from immobilization stress-induced rats were assessed in the present study. The stress-induced rats in the present study exhibited the physiological changes in terms of increased stress hormone level and decreased body weight gains. Under immunohistological observation, the ovarian CYP1A2 expression in both control and the stressed ovary was localized in the antral to pre-ovulatory follicles. However, its expression level was significantly (p < 0.01) higher in the stress-induced group than control group. In addition, stress-induced group presented more abundant CYP1A2-positive follicles (%) than control group. Since expression of the ovarian CYP1A2 was highly related with follicle atresia, increased expression of CYP1A2 in the stressed ovary might be associated with changes of the ovarian follicular dynamics due to stress induction. We hope that these findings have important implications in the fields of the reproductive biology.

Radiological impact analyses were carried out for a near-surface radioactive waste repository at Gyeongju in South Korea. The RESRAD-ONSITE code was applied for the estimation of maximum exposure doses by considering various exposure pathways based on a land area of 2,500 m2 with a 0.15 m thick contamination zone. Typical influencing input parameters such as shield depth, shield materials’ density, and shield erosion rate were examined for a sensitivity analysis. Then both residential farmer and industrial worker scenarios were used for the estimation of maximum exposure doses depending on exposure duration. The radiation dose evaluation results showed that 60Co, 137Cs, and 63Ni were major contributors to the total exposure dose compared with other radionuclides. Furthermore, the total exposure dose from ingestion (plant, meat, and milk) of the contaminated plants was more significant than those assessed for inhalation, with maximum values of 5.5×10−4 mSv‧yr−1 for the plant ingestion. Thus the results of this study can be applied for determining near-surface radioactive waste repository conditions and providing quantitative analysis methods using RESRAD-ONSITE code for the safety assessment of disposing radioactive materials including decommissioning wastes to protect human health and the environment.

Precise combinations of probiotics can be useful in dog nutrition, treatment and care. Also, host specificity must be considered in order to increase the effectiveness of probiotics. In this study, Lactobacillus acidophilus HY7032 and Lactobacillus reuteri HY7506 were used, which were isolated from feces of healthy dogs through the verification of pH, bile salt tolerance, and antibacterial activity. In addition, the selected strains were confirmed for activity in immune cells. Briefly, L. acidophilus HY7032 and L. reuteri HY7506 enhanced oxidative burst and phagocytosis of innate immune cell activities in peripheral blood. In addition, beagle were administered vancomycin 50 mg and polymyxin B 100 KU for 7 days, and then 107 CFU of L. acidophilus HY7032 and L. reuteri HY7506 were orally administered for 3 weeks to confirm the effect of improving hair quality. Also, compared with the placebo group, the health improvement effect including stool pattern were confirmed. These results imply that the microflora imbalance caused by antibiotics can be gradually improved through the intake of probiotics. Through this study, it was confirmed that L. acidophilus HY7032 and L. reuteri HY7506 are good probiotics that contribute to the welfare and health of companion animals and have the effect of improving hair quality.

Rabies is a zoonotic disease that is caused by rabies virus and transmitted only in mammals. Domestic dogs are the most common reservoir of the virus, which is associated with more than 99% human deaths caused by dog-mediated rabies in the world. Rabies is one of the most fatal diseases, but it is fully preventable in animals by vaccination. Serological test of rabies virus antibody for samples collected from dogs and cats in Seoul during 2017–2019 was carried out in this study. To investigate antibody seroprevalence of rabies virus for dogs and cats, 2,769 serum samples were taken from 2,408 dogs and 361 cats in various regions of Seoul during 2017– 2019. Antibodies to rabies virus were detected by an indirect ELISA. Of 2,769 tested animal sera, 934 (33.7%) were positive; 886 (36.8%) of 2408 dogs and 48 (13.3%) of 361 cats. Of 990 companion animals, 547 (55.3%) was positive and 387 (21.8%) of 1779 stray animals was positive. These results indicate that antibody seroprevalence to rabies virus is still not enough to prevent rabies and rabies vaccination is required to enhance the antibody seroprevalence for rabies. To improve the situation, much public awareness and policy is needed to prevent the rabies. In addition, reducing stray animals and keeping companion animals from contact with wild animals are indispensable for the prevention of rabies.

PURPOSES : This study uses deep learning image classification models and vehicle-mounted cameras to detect types of pavement distress — such as potholes, spalling, punch-outs, and patching damage — which require urgent maintenance. METHODS : For the automatic detection of pavement distress, the optimal mount location on a vehicle for a regular action camera was first determined. Using the orthogonal projection of obliquely captured surface images, morphological operations, and multi-blob image processing, candidate distressed pavement images were extracted from road surface images of a 16,036 km in-lane distance. Next, the distressed pavement images classified by experts were trained and tested for evaluation by three deep learning convolutional neural network (CNN) models: GoogLeNet, AlexNet, and VGGNet. The CNN models were image classification tools used to identify and extract the combined features of the target images via deep layers. Here, a data augmentation technique was applied to produce big distress data for training. Third, the dimensions of the detected distressed pavement patches were computed to estimate the quantity of repair materials needed. RESULTS : It was found that installing cameras 1.8 m above the ground on the exterior rear of the vehicle could provide clear pavement surface images with a resolution of 1 cm per pixel. The sensitivity analysis results of the trained GoogLeNet, AlexNet, and VGGNet models were 93 %, 86 %, and 72 %, respectively, compared to 62.7 % for the dimensional computation. Following readjustment of the image categories in the GoogLeNet model, distress detection sensitivity increased to 94.6 %. CONCLUSIONS : These findings support urgent maintenance by sending the detected distressed pavement images with the dimensions of the distressed patches and GPS coordinates to local maintenance offices in real-time.