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      • KCI등재후보

        환경방사능 측정을 통한 전남·북 산림지역의 안정성 분석

        송현제,여화연,동경래 조선대학교 공학기술연구원 2014 공학기술논문지 Vol.7 No.1

        This study is intended to provide radiation stability information to the local residents throughmeasurements and analyses of the environmental radiation levels in the natural environments ofJeollanamdo and Jeollabukdo. Three environmental samples, including water, tree leaves, and soil, werecollected in seven popular recreational forests, selected from forests in Jeollanamdo and Jeollabukdoincluding national parks, in July and August, 2013. The control group was determined after referring tothe emission concentration of activity in other regions and the environmental radioactivity concentrationdata released by KINS in 2012 and in conformity with Nuclear Safety Law and Recommendations ofUNSCEAR and ICRP. The collected samples underwent air drying preprocess before removing organicmatters (tree branches, fallen leaves, and gravels) out of them, and the pre-treated samples were driedusing a vacuum oven, followed by the gamma detection using High Purity Germanium Detector (HPGe)and Multi-Channel Pulse Height Analyzer (MCA) after conducting measurement per sample for a period of80,000 seconds. As results, the level of environmental radiation was 40K 0.36 Bg/kg that did not exceed thereported environmental radiation levels detected at tree leaves by KINS in 2012, 137Cs 71.5Bq/g and 40K66.792 Bq/kg, while 137Cs was not detected. In case of surface soil sample, 137Cs 13.3 ± 0.4 Bq/kg and 40K810Bq/kg were confirmed in the study in comparison with the reported average radiation emission on thesurface soil by KINS in the same year, 137Cs 10.815 Bq/kg and 40K 835.66 ± 184.9 Bq/kg, which 137Csexceeded the KINS data while 40K was lower than the data. For the collected deep soil, 137Cs 14.7Bq/kg,40K 946Bq/kg were resulted, comparing them to 137Cs 21.5 Bq/kg and 40K 670 ± 16Bq/kg, showing higherconcentration of 137Cs and lower concentration of 40K than those in KINS data. When analyzing the entiresoil samples including surface and deep soils, 137Cs was confirmed to have less radiation level as the depthof soil increased, implying 40K was not affected by the depth of soil. When the radiation emissionconcentration was measured in-situ in the recreational forests, surface soil samples showed higher levelsthan the reported emission levels of environmental radioactivity by KINS in 2012 for 137Cs while the deepsoil exhibited lower level than the reported one. The radiation level was lower than the minimumacceptable level recommended by ICRP, UNSCEAR, and Nuclear Power Act. When the radiation level datafrom other regions were adopted as the control group, 137Cs showed relatively higher level in the studyarea. The results of this study are expected to be used as the basic public health data for visitors to theforests in Jeollanamdo and Jeollabukdo as well as for local residents in the future.

      • KCI등재

        효소면역법에 의한 닭 전염성 기관지염 바이러스 항체검사

        송현제,최정옥 한국가금학회 1991 韓國家禽學會誌 Vol.18 No.3

        세계적으로 가장 출현빈도가 높은 혈청형인 마사추셋형 IBV를 발육란에서 증식시킨 다음 요막강액을 채취, 바이러스를 농축 정제하여 항원으로 사용하고 야외 IBV감염계군에서 채취한 혈청중 HI반응에 의해 양성 및 음성혈청을 선발, 표준혈청으로 사용하여 ELISA를 시도한 결과 다음과 같은 성적을 얻었다. 1. 정제항원은 ELISA plate의 well당 40ng 단백량으로 coating하였을 때 높은 P/N치를 나타냈고 혈구응집항원은 well당 1.2~2.5 HA unit로 coating하였을 때 정제항원과 유사한 결과를 보였다. 2. 항원의 coating시 온도와 시간은 37$^{\circ}C$, 1시간이나 4$^{\circ}C$에 12~16시간 처리하였을 때 P/N에서 유의성 있는 차이를 보이지 않았으며 항원을 건조시켜 4$^{\circ}C$에 1개월 보관하여도 항원성의 변화를 인정할 수 없었다. 3 제품이 다른 3종류의 plate에서 항원 coating의 차이를 비교한 결과 제품간에 항원 coating의 균일도와 농도에 있어서 뚜렷한 차이가 인정되었다. 4. 음성혈청희석배수 1:50에서도 비특이 반응은 인정되지 않았으며 가경혈청은 1:100희석했을 때 높은 P/N치를 보여서 screen용 희석배수로 적당하였다. 5. Substrate처리한 후 발색 정도는 15분 이후에는 일정하여 30분까지 변화가 없었으며 이때 발색정지제를 처리하였을 때 치리직후부터 4시간까지도 흡광도에 있어서 유의성 있는 차이가 인정되지 않았다. 6. 74개의 혈청에 대해 ELISA에 의한 P/N치와 HI항체가와의 상관관계는 r=0.42였으며 HI가 2$^{6}$이상, P/N치 1.4이상을 기준으로 하였을 때 양성 case의 일치율은 98.7%였다. 1. 백신접종 시험계군에서 ELISA와 HI test에 의한 항체 소장 비교에서는 10주째를 제외하고는 양 test에서 유사한 추이를 보였다. In order to establish ELISA method to detect antibody against IBV various factors involved were examined. Antigen was prepared from Massachusetts type IBV which is known to be one of serotypes distributed most widely. The virus was grown in embryonated SPF chicken eggs. Allantoic fluid harvested was processed to ultracentrifugation and sucrose density gradient centrifugation to produce a purified antigen The antisera selected from the field samples based on hemagglutination inhibition test were used as the standard positive and negative sera for this study and the results obtained were summarized as follows. 1 , It was found that ELISA test was satisfactory when the purified antigen was coated on the plate in the amount of about 40ng protein per well. In case of the phospholipase treated hemagglutinating antigen it gave satisfactory results when the each well wns coated with 1.2 to 2.5 hemagglutinating unit which was equivalent to 40 to 90ng of protein. 2. There was no significant difference in the ratio of optical density of positive to that of negative serum whether the coated antigen was held for 1 hour at 37$^{\circ}C$ or it was held overnight at 4$^{\circ}C$. The coated antigen could be kept in dried state without change of antigenecity for at least one month of experimental period at 4$^{\circ}C$. 3. There was a big variation in the optical density and P/N values depending on the maker of the plates and on the plate of the same maker. 4. It was found that background optical density was negligible when serum was diluted more than 1:50 and serum dilution of 1:100 appeared to be appropriate as a routine test dilution to screen the antibody. 5. Optical density was fairly constant 15 minutes afterward from the time substrate was treated and during the 4 hours after stopper was treated. 6. There was a low correlation(r=0.42) between ELISA and HI test. However, when 74serum samples were tested for the IBV antibody, 98.7% were found to be positive by both tests in which titers of 2$^{6}$ or more by HI test and P/N values of 1.4 or more by ELISA were considered to be positive, 7 Day-old IBV vaccinated chickens shows a similar antibody decay and rising pattern until 8 weeks of age by the two tests, ELISA and HI.

      • KCI등재

        ESRGAN 기반 영상 초해상화를 통한 전기설비 상태정보 추출 연구

        송현제,문재현,이기연,채동주,임승택 대한전기학회 2022 전기학회논문지 Vol.71 No.10

        Electrical equipment performs external communication for monitoring. When a communication malfunction occurs, there is a need for a way to extract information from the electrical equipment. One approach is to capture the display of electrical equipment with an image using devices like CCTV and then extract the information from the image using optical character recognition. However, the images are low-resolution, so the optical character recognition does not work well on the image. This paper proposes a simple method to improve the performance of optical character recognition with a super-resolution model. The proposed method converts the low-resolution image to a high-resolution image through the super-resolution model trained with a proper electrical equipment image dataset. As a result, optical character recognition can extract information from high-resolution images. Experiments on a real-world electrical equipment image dataset show that the proposed method helps to extract information from electrical equipment images

      • KCI등재

        다중 인스턴스 학습 기반 소셜 미디어 사용자 프로파일 식별

        송현제(Hyun-Je Song),김아영(A-Yeong Kim),박성배(Seong-Bae Park) 한국정보과학회 2013 정보과학회논문지 : 소프트웨어 및 응용 Vol.40 No.4

        본 논문에서는 소셜 네트워크 서비스에서 작성된 텍스트들로부터 사용자 프로파일을 식별하는 문제를 다룬다. 기존 연구에서는 텍스트 개별을 프로파일의 식별 단위로 간주한다. 각 텍스트마다 프로파일을 식별한 후, 식별된 결과들을 합쳐 최종적으로 프로파일을 식별한다. 하지만 소셜 네트워크 서비스 특성상 사용자가 작성한 텍스트 중에는 프로파일을 식별하는 데에 영향을 끼치지 않는 텍스트들이 다수 존재하며, 기존 연구들은 이들을 단순히 학습 및 테스트에 사용함으로 인해 프로파일 식별 성능이 저하되는 문제점이 있다. 본 논문에서는 다중 인스턴스 학습을 기반으로 사용자 프로파일을 식별한다. 제안한 방법은 사용자가 작성한 텍스트 전체, 즉 텍스트 집합을 프로파일의 식별 단위로 간주한다. 다중 인스턴스 학습 알고리즘을 통해 프로파일 식별에 영향을 끼치지 않는 텍스트들이 자동으로 배제되므로 기존 연구에서 발생하는 성능 하락을 최소화할 수 있다. 총 5가지 속성(성별, 나이, 연애 유무, 종교, 정치적 성향)에 대한 실험을 통해 제안한 방법이 텍스트 개별을 프로파일의 식별 단위로 삼는 기존 연구보다 더 좋은 성능을 보인다. This paper considers a user profile identification from social media text. Previous studies are based on the single-instance learning, that is, they regard a text as a instance which is a unit of user profile identification. Given a set of texts, user profile is identified by merging the results of texts. However, they are apt to achieve the low performance because some texts which are irrelevant to user profile affect the negative impact on the training and test. In order to solve this problem, the proposed method adopts a multi-instance learning which regards a set of texts as a unit of identification. With the multi-instance learning algorithm the proposed method automatically excludes some irrelevant texts. Our experiments on 5 attributes in gender, age, marital status, religion and political orientation show that the proposed method results in higher performance than the single-instance learning method.

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