http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Kim, Heesu,Kim, Sang-Hyun,Jeon, Maro,Kim, JaeHak,Song, Soonseok,Paik, Kwang-Jun Elsevier 2017 Ocean engineering Vol.142 No.-
<P><B>Abstract</B></P> <P>Setting a path is essential for reaching a target point and avoiding obstacles in the autonomous navigation system for an unmanned surface vehicle (USV). Accordingly, a decision algorithm for determining an optimized path, considering ocean environmental loads, is necessary. In this study, a genetic algorithm was used to determine the optimized path with the minimum travel time for a USV under environmental loads. The optimized paths were determined using numerical simulations. First, the path of the vessel under environmental loads was expressed using chromosomes consisting of the turning angle of the vessel per unit time. In the configuration of the decision algorithm, the following three objective functions were derived: avoiding obstacles, reaching a target point, and minimizing travel time. By integrating the three objective functions, a new fitness function was proposed. In addition, to determine the optimized path, the fitness evaluation of each chromosome was repeated for all generations using the fitness function. Using the proposed algorithm, the optimized paths were determined considering environmental loads and the allowed minimum distance of approach to an obstacle, and validated using numerical simulations.</P> <P><B>Highlights</B></P> <P> <UL> <LI> This research focuses on path optimization for a USV using genetic algorithm. </LI> <LI> The optimized paths are created to have the minimum travel time. </LI> <LI> It considers environmental loads. </LI> <LI> It considers approach limit to obstacle. </LI> <LI> The proposed path optimization method is simulated with Matlab. </LI> </UL> </P>
논문 키워드 네트워크 분석을 통한 군사과학기술 분야의 특징
김희수(Heesu Kim),김재현(Jaehyun Kim),최원석(Wonseok Choi),황인서(Inseo Hwang),김윤영(Yunyang Kim),임현재(Hyunjae Im),조영기(Youngki Cho) 육군사관학교 화랑대연구소 2021 한국군사학논집 Vol.77 No.1
Analysis of characteristic of the academic field is a important field of study handled by many fields, it allows to understand overall view of specific field by analyzing characteristic. The purpose of the study is to identify characteristic of Korean Military Science. First, we extracted 7528 keywords of 1842 published papers from 1998 to 2020 in the Journal of the Korean Military Science and Technology. Second, we build Keyword Network. Finally, using degree, nBetweetness and frequency of measurement Indicator of network, we analyzed the Keyword Network and examined its characteristics.
( Dain Kim ),( Hyeseon Yoon ),( Sangkyu Kim ),( Jimin Wi ),( Heesu Chae ),( Gyunghee Jo ),( Jun-yeol Yoon ),( Heeyoun Kim ),( Chankyu Lee ),( Se-ho Kim ),( Hyo Jeong Hong ) 한국미생물 · 생명공학회 2018 Journal of microbiology and biotechnology Vol.28 No.12
Cross-reactive material 197 (CRM<sub>197</sub>) is a non-toxic mutant of diphtheria toxin containing a single amino acid substitution of glycine 52 with glutamic acid. CRM<sub>197</sub> has been used as a carrier protein for poorly immunogenic polysaccharide antigens to improve immune responses. In this study, to develop a sandwich ELISA that can detect CRM<sub>197</sub> and CRM<sub>197</sub> conjugate vaccines, we generated a human anti-CRM<sub>197</sub> monoclonal antibody (mAb) 3F9 using a phage-displayed human synthetic Fab library and produced mouse anti-CRM197 polyclonal antibody. The affinity (K<sub>D</sub>) of 3F9 for CRM<sub>197</sub> was 3.55 nM, based on Bio-Layer interferometry, and it bound specifically to the B fragment of CRM<sub>197</sub>. The sandwich ELISA was carried out using 3F9 as a capture antibody and the mouse polyclonal antibody as a detection antibody. The detection limit of the sandwich ELISA was <1 ng/ml CRM<sub>197</sub>. In addition, the 3F9 antibody bound to the CRM<sub>197</sub>-polysaccharide conjugates tested in a dose-dependent manner. This ELISA system will be useful for the quantification and characterization of CRM<sub>197</sub> and CRM<sub>197</sub> conjugate vaccines. To our knowledge, this study is the first to generate a human monoclonal antibody against CRM197 and to develop a sandwich ELISA for CRM<sub>197</sub> conjugate vaccines.
김동하(Dongha Kim),김민정(Minjeong Kim),김희수(Heesu Kim),양동준(Dongjoon Yang),임승록(Seungrok Lim),김효선(Hyosun Kim) 한국HCI학회 2013 한국HCI학회 학술대회 Vol.2013 No.1
태블릿 PC에서 활용되는 "필기노트" 어플리케이션의 사용성을 향상시키고자 인터뷰와 설문을 실시하였다. 인터뷰와 설문을 통해서 필기노트 어플리케이션의 필기모드에서 사람들이 선호하는 기능 제공 방식과 그 이유들을 분석 하였다. 본 연구의 결과는 필기노트 어플리케이션 제작 시 고려해야할 사항을 발견할 수 있다는 것에 의의가 있으며, 향후 해당 어플리케이션의 사용성 발전에 도움이 될 것이다. In this paper, the result of survey and interview provides suggestions to improve usability for "Writing application" using tablet PC. Through this interview and survey, we found out the preferable method of providing different functions when using writing application. Through this analysis, what to be considered before designing writing application is presented in details and it can be considered when improving usability.
( Kwang Nam Kim ),( Soohee Kim ),( Hyobi Kim ),( Seo Il Yang ),( Heesu Kim ),( Jae Young Song ),( Sung Won Park ) 한국예방수의학회(구 한국수의공중보건학회) 2015 예방수의학회지 Vol.39 No.3
Mycotoxins, such as aflatoxin B1 (AFB1), deoxynivalenol (DON), fumonisin B1 (FMB1), ochratoxin A, T2 toxin, and zearalenone, are found in numerous vegetables. Mycotoxin accumulation in food and feed poses serious health risks to humans and animals because of carcinogenic, mutagenic, teratogenic, and toxic properties. In addition, mycotoxins cause large economic losses in commercial crop production, food and feed processing, and animal husbandry worldwide. In this study, an analytical method for the simultaneous analysis of the levels of AFB1, DON, and FMB1 in cow blood with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was developed and validated. AOZTM and Myco6in1TM multitoxin immunoaffinity columns and an OasisTM reversed-phase solid-phase extraction Hydrophilic-Lipophilic-Balanced columns were used to purify and concentrate the blood samples. Extracts that contained AFB1, DON, and FMB1 had average recovery of 64.0%, 98.0%, and 89.9%, respectively. In conclusion, we used LC-MS/MS to detect several important toxicological mycotoxins in cow blood. The multimycotoxin method, which detected and quantified the levels of AFB1, DON, and FMB1 can be used in animal pilot studies to monitor simultaneous exposure to major mycotoxins.
텍스트 마이닝과 소셜네트워크분석을 통한 AI·빅데이터 기반 제조기술 트렌드 연구
김일중(Iljung Kim),한아람(Aram Han),채희수(Heesu Chae),김하정(Hajeong Kim),유승화(Seunghwa Ryu),김준영(Joonyoung Kim),신민수(Minsoo Shin),김흥남(Heungnam Kim) 한국기술혁신학회 2021 기술혁신학회지 Vol.24 No.5
최근 스마트공장 질적 고도화의 일환으로 제조 생태계에 AI·빅데이터 기술적용에 대한 관심이 고조되고 있다. 그러나 기존 제조기술 트렌드 연구는 스마트공장 구축을 위한 자동화·로봇화에 집중되어 제조 AI·빅데이터 중심의 제조기술 트렌드 연구 및 활용은 미비한 실정이다. 본 연구는 제조업에 적용되는 AI·빅데이터 기술에 대한 최근 6년 동안의 주요 이슈 및 트렌드를 분석하여 제조기업의 AI·빅데이터 기술도입의 방향성을 제시하고자 한다. 분석결과의 적시성과 정확도를 증대하기 위해 특허, 논문, 뉴스, 박람회, 인공지능 중소벤처 제조플랫폼(KAMP) 콘텐츠를 분석 데이터로 통합화하였다. 그리고 수집 데이터의 정제로 Python 3.6과 텍스트 마이닝 및 소셜네트워크분석은 KrKwic 2.0, UCINET 6.721을 활용하였다. 분석 결과, 시간의 흐름에 따라 제조 특화 AI, 딥러닝, 알고리즘 키워드의 연결중심성이 높아지는 것으로 나타났으며 이를 구현하기 위해 고성능 컴퓨팅 기술을 포함한 다수의 제조AI 기술군집이 형성되었다. 제조현장의 AI 적용목적에 따라 보다 다양하고 최적화된 제조 특화 AI 알고리즘 및 제조 빅데이터 융·복합기술의 중요도가 증가하고 있음을 관찰할 수 있었다. Recently, there has been a surge of interest in manufacturing AI and big data technology application. Since current manufacturing technology trend research is focused on automation and robotization for the construction of smart factories, study and utilization of manufacturing technology trends centered on manufacturing AI and big data are insufficient. Therefore, this study examines major issues and trends in AI·big data technologies applied to the manufacturing industry over the last six years. To reflect the timeliness and accuracy of analysis results, patents, theses, news, fairs, and Korea AI Manufacturing Platform(KAMP) contents are integrated into analysis data, and data refinement is performed using Python 3.6, text mining, and social network analysis. KrKwic 2.0 and UCINET 6.721 were utilized for this purpose. It was discovered that the degree centrality of manufacturing AI keywords rose with time, prompting the formation of a number of manufacturing AI technology clusters. The significance of more diverse AI algorithms specialized in manufacturing and high-performance infra resources increases depending on the aim of AI application in the manufacturing site.