• 한국철도학회논문집
• /
• 제8권2호
• /
• pp.145-154
• /
• 2005

Traffic accidents at highway-rail crossing result in larger social and economic damages than the accidents at the typical highway intersections. The traditional control and warning systems of the highway-rail crossing have limitations in that 1) they do not recognize the differences of the trains' arrival times because they rely on the distance-based control system, rather than the time-based one, and 2) thereby they usually cause longer delays of vehicles and pedestrians at the highway-rail crossings. The objective of this study is to develop a time-based railroad crossing control system which takes into account the speed and expected arrival time of trains. using the spot speeds and acceleration rates of trains measured at three points, the developed system was found to be able to accurately estimate the arrival time of train. VISSIM simulation package was utilized to compare system effect of the developed time-based railroad crossing control system with that of the conventional distance-based one. It was found that the developed time-based railroad crossing control system reduced the average travel time, maximum delay length, average delay time, and average number of stop-experienced vehicles as much as 7.0$\%$, 75.6$\%$, 12.7$\%$, and 60.0$\%$, respectively, compared with those from the conventional distance-based one.

• 한국인터넷방송통신학회논문지
• /
• 제18권6호
• /
• pp.243-250
• /
• 2018

본 논문은 독거노인을 위한 스마트 케어 시스템을 설계하고 구현한다. 최근 의학, 생활수준, 환경의 급속한 개선으로 생활수준이 높아짐에 따라 고령 인구의 비율이 높아지고 있다. 또한 고령화 사회와 더불어 증가하는 독거노인 비율은 노인 케어 시스템, 응급 상황 알림과 같은 서비스의 제공이 중요한 이슈가 되고 있다는 것을 시사한다. 그러나 기존의 응급상황알림을 위한 기술들은 고정된 CCTV 영상을 분석하기 때문에 CCTV 사각지대에서의 모니터링에 대한 어려움과 카메라가 설치되지 않은 장소로 이동하는 등 정해진 범위를 벗어나는 활동을 할 경우 실시간으로 케어 할 수 없다는 문제점이 존재한다. 따라서 본 논문에서는 이러한 단점을 보완하기 위해 실시간으로 이동이 가능한 로봇과 객체 추적 기술을 활용한 스마트 케어 시스템을 설계하고 개발한다. 이를 통해 장소에 구애받지 않고 실시간 모니터링이 가능하며, 응급상황시 빠르게 도움을 요청해 보호자 및 도우미들에게 편의를 제공할 수 있도록 한다.

• The Plant Pathology Journal
• /
• 제32권5호
• /
• pp.441-451
• /
• 2016

Deep sequencing has generated 52 contigs derived from five viruses; Apple chlorotic leaf spot virus (ACLSV), Apple stem grooving virus (ASGV), Apple stem pitting virus (ASPV), Apple green crinkle associated virus (AGCaV), and Apricot latent virus (ApLV) were identified from eight apple samples showing small leaves and/or growth retardation. Nucleotide (nt) sequence identity of the assembled contigs was from 68% to 99% compared to the reference sequences of the five respective viral genomes. Sequences of ASPV and ASGV were the most abundantly represented by the 52 contigs assembled. The presence of the five viruses in the samples was confirmed by RT-PCR using specific primers based on the sequences of each assembled contig. All five viruses were detected in three of the samples, whereas all samples had mixed infections with at least two viruses. The most frequently detected virus was ASPV, followed by ASGV, ApLV, ACLSV, and AGCaV which were withal found in mixed infections in the tested samples. AGCaV was identified in assembled contigs ID 1012480 and 93549, which showed 82% and 78% nt sequence identity with ORF1 of AGCaV isolate Aurora-1. ApLV was identified in three assembled contigs, ID 65587, 1802365, and 116777, which showed 77%, 78%, and 76% nt sequence identity respectively with ORF1 of ApLV isolate LA2. Deep sequencing assay was shown to be a valuable and powerful tool for detection and identification of known and unknown virome in infected apple trees, here identifying ApLV and AGCaV in commercial orchards in Korea for the first time.

• 한국동물위생학회지
• /
• 제39권4호
• /
• pp.231-237
• /
• 2016

The present study was conducted to investigate the lesion of red internal organs in slaughtered pigs and provided assistant data for pig farms. During March to December 2015, a total of 1,160 lung samples out of 58 herds were collected randomly from pigs slaughtered in Jeonbuk province. In addition, 290 hilar lymph nodes from pig with pneumonic lung lesion (5 samples per herd) were screened for selected viral and bacterial pathogens. Gross lesions of lungs such as swine enzootic pneumonia (SEP), pleuritis, pleuropneumonia, pericarditis and liver white spots were examined. The overall prevalence of SEP was 64.3% (746/1,160). In the analysis of seasonal prevalence, there was an increase of occurrence during the spring months (287/400, 71.8%) and decrease during the fall months (93/200, 46.5%) among the whole herds. The mean number of SEP score per pig was $1.20{\pm}1.28$. The prevalence of pleuropneumonia, pleuritis, pericarditis, and milk spot was 25.5% (296/1,160), 44.1% (512/1,160), 3.8% (44/1,160) and 17.6% (204/1,160), respectively. The most frequent region with lung lesion was diaphragmatic lobes (left 17.1%, right 17.3%). In the detection of viral pathogens by PCR, porcine circovirus type2 (PCV2) was positive in 86.9% (252/290), while porcine reproductive and respiratory syndrome virus (PRRSV) was not detected, In the case of bacterial pathogens, 50 microorganisms were isolated by PCR and/or microbiological test. The most frequently isolated bacteria was Streptococcus suis (20, 34.4%), followed by Pasteurella multocida (17, 29.3%), Streptococcus spp. (11, 3.4%), Actinobacillus pleuropneumoniae (2, 8.9%).

• 한국동물위생학회지
• /
• 제38권2호
• /
• pp.89-94
• /
• 2015

Respiratory disease in pigs is common in modern pork production worldwide and is often referred to as porcine respiratory disease complex (PRDC). PRDC is polymicrobial in nature, and results from infection with various combinations of primary and secondary respiratory pathogens. The control of swine respiratory disease requires an understanding of the interactions between the organisms that can cause this illness, the pig and management of the environment. This study was carried out to investigate the lesion of red internal organs in slaughtered pigs and provided assistant data for pig farms. A total of 900 lung samples, 45 farms were collected randomly from slaughtered pigs in Jeonbuk province from April to December in 2014. Gross lesions such as swine enzootic pneumonia (SEP), pleuritis, pleuropneumonia, pericarditis, liver white spots were examined for the pigs. Overall prevalence of SEP was 70.8%. According to season, the incidence occurred higher in summer than winter, fall and spring. The mean SEP score was 1.4, the highest incidence occurred in fall. The prevalence of pleuropneumonia, pleuritis, pericarditis, and milk spot was 26.1%, 71.4%, 2.8%, 21.6%, respectively. In the detection of pathogens, PRRS was not detected, PCV2 was positive in 87.6%.

• 한국산학기술학회논문지
• /
• 제13권2호
• /
• pp.760-771
• /
• 2012

본 연구는 전동차를 운전 시, 영구 자석형 동기전동기(PMSM)가 제동할 때 발생한 회생전력은 모두 활용하며, 전기제동에 대하여도 발생한 회생전력을 모두 흡수할 수 있는 능력을 가진 축소모형 전동기 시스템으로 운전함을 가정한다. 축소모형 전동기의 견인시스템은 각 전동기는 영구 자석형 동기전동기(PMSM)를 개별로 제어하는 1C1M방식으로 구축 하였다. 전동차의 승차감 향상 및 에너지의 효율적 이용 등을 위한 방법으로써 벡터제어 방법을 적용하여 관성부하에 대한 시뮬레이션과 축소모형으로 실험을 하여 좋은 결과를 얻었다. 또한, 영구 자석형 동기전동기(PMSM)의 제동력 확보에 의한 회생제동 제어 확보와 전기제동으로 정지하는 극 저속에서의 속도검출과 전동기를 제어하는 방법의 알고리즘에 대하여 연구 하였다.

• 식물병연구
• /
• 제18권3호
• /
• pp.231-235
• /
• 2012

본 연구는 citrus에 심각한 피해를 초래하는 바이러스인 ICRSV가 국내로 유입되는 것을 차단하여 그로 인한 피해를 방지하기 위해 이를 진단하는 시스템을 구축하고자 하였다. ICRSV가 감염된 시료를 구할 수 없어 외피단백질 유전자를 E. coli의 codon usage를 고려하여 optimization한 뒤 E. coli에서 수용성 단백질로 과발현된 재조합 ICRSV 외피단백질을 정제하였다. 정제한 재조합 단백질을 이용해 제작한 복클론 항체는 $1{\times}10^{-4}$으로 희석하였을 때 western blot과 ELISA를 통해서 각각 10 ng, 5 ng의 재조합 ICRSV 외피단백질을 검출할 수 있었다. 이로써 제작된 항체를 이용하여 소량의 바이러스 입자만으로도 ICRSV를 검출할 수 있을 것이다.

• 한국응용곤충학회지
• /
• 제18권3호
• /
• pp.119-126
• /
• 1979

깨씨무늬병에 심하게 이병된 병팔굉 공시종자는 배양 $5\~7$일에 호영, 내외영 및 주병의 $86\~92\%$ 그리고 과피의 $74\~83\%$가 Helminthosporium oryzae에 감염 되어 있음을 보였다. 동균은 종립전면에 분생포자를 형성하였으며 배유의 약10여세포층까지 감염되어 있었으나 배조직에서는 검출되지 않았다. Fusarium moniliforme는 과피, 경유 및 배조직에서 검출되었으며 F. roseum, Trichoconis padwicku, Curvularia spp., Alternaria tenuis, Cladosporium cladosporoides 및 Phoma sp.는$ 3\%$ 이하의 영 및 과피에서 검출되었다. 배양일주일에 $60\~87\%$가 깨씨무늬 병징을 나타냈으며 $13\~40\%$는 외관상 건전하였다. 깨씨무늬병균은 감염된 종자의 제점으로부터 과피를 거쳐 시아및 유근에 전염 발병케 하였다.

• 한국방재안전학회논문집
• /
• 제16권4호
• /
• pp.129-136
• /
• 2023

높은 주탑을 가지는 해상특수교량은 특수한 구조적 특징으로 인해 육안점검이 어려운 점검사각지대가 존재하게 되며, 이를 해결하기 위해 드론을 활용한 안전점검 방법들이 연구되고 있다. 본 연구에서는 드론을 이용하여 해상특수교량 주탑의 영상 데이터를 취득하고, 인공지능 알고리즘을 개발하여 주탑부 표면 손상에 대한 탐지를 수행하였다. 인공지능 알고리즘은 서로 다른 구조를 지닌 딥러닝 네트워크를 활용하여 앙상블을 형성한 모델을 구축하고 결과를 취합하는 스태킹 앙상블 학습법을 적용하였다.

• 식물병연구
• /
• 제15권1호
• /
• pp.8-12
• /
• 2009

Virus disease surveys of strawberries cultivated and preserved as germplasm resources in Korea was conducted during 2007-2008. Virus detection was conducted by RT-PCR using total RNAs extracted from strawberry samples. We detected the infection with Strawberry mild yellow edge virus (SMYEV), Strawberry mottle virus (SMoV), Strawberry vein banding virus (SVBV) and Strawberry pallidosis associated virus (SPaV) while no infection with Strawberry crinkle virus (SCV), Strawberry necrotic shock virus (SNSV), Strawberry latent ring spot virus (SLRSV) and Arabis mosaic virus (ArMV) was observed. The infection rate of virus disease on 4 cultivars including Seolhyang, Maehyang, Gumhyang, and Dahong, bred in Korea, was 0.1, 1.9, 0, and 0%, respectively. Surprisingly, however, cultivar Red Peal introduced from Japan in 1997 revealed 48.3% virus infection rate. SMYEV, SMoV and SPaV were also identified in strawberries growing in the farm fields of Korea. In the field, however, SMYEV was the most predominant virus (97.4%) among those 3 identified viruses. SVBV was detected only in strawberry kept as a germplasm.