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The absolute measurment of the neutron emission rate with Manganese Sulphate Bath system
Hyeonseo Park,Jong-Man Lee,Kil-Oung Choi,Kyung-Beom Lee,Miloslav Kralik,Myung Sup Hahn 한국물리학회 2005 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.47 No.4
Recently, an absolute measurements of the neutron emission rates of neutron sources were carried out for 241Am . Be and 252Cf over a wide range of emission rates (2 × 105 2 × 108 s.1). The measurements were done using a Manganese Sulphate Bath method, which is the principal method for the absolute determination of the neutron emission rates of radionuclide neutron sources. The efficiency of the system was determined by means of a 56Mn radioactive source of well-defined activity. Various corrections, including epithermal neutron capture, the (n, p) and the (n, ) reactions, the leakage of neutrons, etc., were replaced by a direct calculation of the neutron capture probability for manganese nuclei. The neutron capture probability of the manganese nuclei was determined by using a careful MCNP (Monte Carlo N-Particle Transport Code System) calculation and was 0.102 0.105 for the present status of the KRISS (Korea Research Institute of Standards and Science) Manganese Sulphate Bath system. The emission rates were determined with an uncertainty of < 0.8 % (k = 1)
트럼프 취임 관련 국내 언론에서 나타난 감성과 거시 경제 지수 간 영향 관계 : 텍스트 마이닝을 적용하여
이현서 ( Hyeonseo Lee ),송민 ( Min Song ) 한국지역언론학회 2018 언론과학연구 Vol.18 No.3
본 연구는 감성 분석과 더불어 그랜저 인과 검정 및 벡터자기회귀모형 분석을 통해 어떠한 거시 경제 지수가 일정기간의 시차를 두고 뉴스 본문의 감성 값에 영향력을 끼치거나 영향을 받는지 확인하였다. 연구 대상이 되는 데이터는 2016년 1월 1일부터 2017년 6월 30일까지 보도된 것으로, 여러 언론사 뉴스를 제공해주는 네이버 뉴스에서 수집하였다. 연구 결과 한국의 언론에서 구한 감성 지수와 선후행 관계가 있는 경제 지표는 금 현물 지수, 코스닥 지수(KOSDAQ), 코스피 고가 지수(KOSPI high index), KRX 100으로 나타났다. 본 연구는 실시간으로 배포되는 온라인 뉴스 기사에서 가장 최근에 실시된 미국 대통령 선거를 주제로 진행한 연구라는 점에서 시의성이 크다. 그리고 감성 분석에 그치지 않고 거시 경제 지수들과의 상관관계를 탐구하였다는 데에 의의가 있다. It was surprising that Donald Trump won the 58th American presidential election against the predictions of most press and opinion polling agencies. No one could expected the fluctuation in global economic indicators after the presidential election, so people have begun to focus on the reasons for Trump’s triumph. However, so far most analysts have only offered political or economic opinions and discourse. It is hard to properly capture economic changes in terms of Trump’s presidential election pledges such as “America First Policy”, “Trumpnomics”, and “Trump care”. Sentiment analysis conducted on data obtained using text mining is a useful way to analyze vast amounts of information, so it has been conducted on many different types of text, from product reviews to movie reviews. Studies related to sentiment analysis, Granger causality test and vector autoregressive model analysis simultaneously have not been conducted in South Korea. Studies that only focus on the relationship between economic indicators and sentiment indices of news pieces cannot determine why stock prices change in various contexts. In South Korea, not much research has been conducted on the correlation between Korean economic indicators and sentiment indices of South Korean internet text content. Therefore, it is necessary to study the connection between South Korean economic indicators and South Korean online news content In this study, sentiment analysis was conducted on news articles to generate sentiment indices on which a Granger causality test and vector autoregressive model analysis were conducted to determine the degree to which the sentiment values of online news text content can be used to predict changes in macroeconomic indicators influence to understand the background of the most recent U.S. presidential election more clearly. First, sentiment analysis was conducted on various news articles from Naver News for Korean-language news from January 1, 2016 to June 30, 2017. A Granger causality test was then run on the sentiment value data and macroeconomic indicators to determine the relationship between them. Sentiment analysis showed that Korean-language news had a vacillating value starting in March 2016 until it became decisively negative in early September 2016. In early November 2016, when the U.S. presidential election was held, the slope suddenly increased only to turn negative in mid-April 2017. Finally, the gold spot, KOSDAQ, KOSPI high, and KRX 100 in-dices were revealed as representative South Korean economic in-dicators for relating with sentiment values. These results sug-gested that the sentiment of South Korean news related to the U.S. presidential election was preceded or followed by changes in South Korea’s representative integrated stock price and gold spot indices. The main contribution of this study is that its discovery of why sentiment values can be used to make predictions about changes in economic when it comes to analyzing relation between senti-ment values and economic indicators.
송현서(Hyeonseo Song),김지윤(Jiyun Kim) 한국세라믹학회 2020 세라미스트 Vol.23 No.1
Recently, 4D printing technology has received considerable attention in various industries and research fields including soft robotics, tissue engineering, electronics. In 4D printing process, 3D printed object transforms itself into programmed structure by the input of external energy. Thus, this process requires not only smart materials, capable of changing their properties or features in response to external stimuli such as electricity, temperature, light, etc., but also smart structures, multi-material 3D printing, simulation and so on. In this review, the concept, technical elements and potential of 4d printing are presented.
Long counter and its application for the calibration of the neutron irradiators
Park, Hyeonseo,Kim, Jungho,Choi, Kil-Oung Nuclear Technology Publishing 2014 Radiation Protection Dosimeetry Vol.161 No.1
<P>The Korea Research Institute of Standards and Science (KRISS) has constructed a new long counter that can be disassembled in parts and reassembled. This counter can be easily transported and used as a transfer standard instrument for neutron fluence measurements. The response function and the effective centre of the counter are investigated by calculating neutron energies from thermal to 30 MeV using MCNPX. By carrying out measurements using a <SUP>252</SUP>Cf source in the KRISS irradiation room, the accuracy of the evaluated effective centre position is confirmed. The ‘distance variation method’ is adopted to eliminate the effect of inscatter neutrons. This method is effective and used for the experimental determination of the effective centre. The neutron emission rates determined by the neutron fluence measurements using the long counter developed are compared with those measured by a manganese sulphate bath, and show good agreement within 3 %.</P>
Smart Device Template를 활용한 oneM2M 표준 IoT 플랫폼과 다중 프로토콜간의 인터워킹에 관한 연구
손현서(HyeonSeo Son),정승명(SeungMyeong Jeong),송재승(JaeSeung Song) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.6
oneM2M은 글로벌 Internet of Things (IoT) 플랫폼 표준기관으로 IoT를 활용한 다양한 분야에 oneM2M의 기술이 활용되고 있다. 따라서, 많은 기관이나 기업에서 스마트 홈, 스마트 팩토리, 스마트시티 등에 oneM2M 표준 플랫폼을 활용한 기술을 적용하고 있다. 하지만 이러한 시스템을 구축할 때 IoT 환경에서 디바이스는 서로 다른 표준 또는 비표준 프로토콜을 적용하여 oneM2M 표준 플랫폼으로 데이터를 통합 구축할 때 통일성있게 데이터를 통합하지 못하는 문제가 있었다. 이러한 문제를 해결하기 위해 oneM2M 표준에서는 스마트 디바이스나 가전제품, 산업시설 등에서 사용하는 수 많은 디바이스를 Smart Device Template (SDT)를 통해 다양한 도메인의 IoT 디바이스에 대한 데이터 모델을 정의하고 있다. 따라서 본 논문에서는 SDT를 활용하여 oneM2M 표준을 통해 개발된 IoT 플랫폼과 다양한 프로토콜을 사용하는 스마트 디바이스와 연동하기 위한 인터워킹 (Interworking) 모델을 제안한다. 본 논문에서 제안된 인터워킹 방안을 적용하면 다양한 이종 프로토콜을 사용하는 디바이스를 표준에 기반하여 일관된 절차에 따라 연계 활용할 수 있어 연동 개발 시간을 단축하고 수집된 다양한 장치의 데이터를 Artificial Intelligence (AI)의 학습 및 추론 데이터로도 활용할 수 있을 것으로 생각한다.