http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
뉴스에 나타난 여성스포츠선수 관련 이슈의 변화: 키워드네트워크 활용
조은혜 ( Eunhye Jo ),김수연 ( Suyeon Kim ),김혜진 ( Hyeoi Jin Kim ) 한국체육대학교 체육과학연구소 2021 스포츠사이언스 Vol.39 No.2
This study aims to utilize keyword network analysis to identify the news article keywords related to female sports players and confirm changes in issues through them. To this study, 2,550 news reports were collected from 2001 to 2021. Keyword network analysis was carried out after dividing four sections: section 1 (2001-2005), section 2 (2006-2010), section 3 (2011-2015), and section 4 (2016-2021). Data processing utilized Ms-Excel and Netminer 4.2 programs to analyze the frequency of keyword and degree centrality. The study results are as follows. Essential keywords related to female sports players include ‘female', ‘female sports players', ‘Yuna Kim', ‘Maria Sharapova', and ‘playful sister'. The change in news issues for female sports players analyzed from a time-series perspective showed no change in content other than the increase in the news. Identical results within keyword network analysis are as follows. First, many news reports on female sports players ‘Michelle Wie West’, ‘Annika Sorenstam’, ‘Serena Williams’ and ‘Yuna Kim’ their annual salary, selection of influential players, and awards are reported. Second, articles on star quality such as ‘Fashion', ‘Dress', ‘Talent', ‘Advertising' or entertainment programs featuring female sports players, such as ‘playful sister', ‘Entertainment', ‘Pak Se-ri', ‘Han Yumi' and ‘playful bro' are reported. This study confirmed that the keywords of articles related to female sports players are limited to sports stars and popularity rather than match results.
음이온 교환막의 정확한 OH<sup>-</sup>전도도 및 CO<sub>2</sub> 피독 효과 분석을 위한 전기화학적 측정법
김수연,권후근,이혜진,정남기,배병찬,신동원,Kim, Suyeon,Kwon, Hugeun,Lee, Hyejin,Jung, Namgee,Bae, Byungchan,Shin, Dongwon 한국전기화학회 2022 한국전기화학회지 Vol.25 No.2
The anion exchange membrane used in alkaline membrane fuel cells transports hydroxide ions, and ion conductivity affects fuel cell performance. Thus, the measurement of absolute hydroxide ion conductivity is essential. However, it is challenging to accurately measure hydroxide ion conductivity since hydroxide ions are easily poisoned in the form of bicarbonate by carbon dioxide in the atmosphere. In this study, we applied electrochemical ion exchange treatment to measure the absolute hydroxide ion conductivity of the anion exchange membrane. In addition, we investigated the effect of carbon dioxide poisoning of hydroxide ions on electrochemical performance by measuring bicarbonate conductivity. Commercial anion exchange membranes (FAA-3-50 and Orion TM1) and polyphenylene-based block copolymer (QPP-6F) were used.
딥러닝을 활용한 NDT 기반 3D 포인트 클라우드 지도 생성 알고리즘
김수연(Suyeon Kim),권순웅(Soonwoong Kwon),김명준(Myungjoon Kim),김정하(Jungha Kim) 한국자동차공학회 2020 한국자동차공학회 부문종합 학술대회 Vol.2020 No.7
High-accuracy localization is very important for safe driving of autonomous vehicles. To implement localization of autonomous vehicles GPS is usually used, but there are disadvantages that it is difficult to use in a shaded area. To overcome this problem, a lot of research has been conducted on the method using LiDAR. A representative localization method using LiDAR is a map matching algorithm. A high-accuracy point cloud map is required for map matching, and the point cloud map contains unnecessary data such as dynamic obstacles. It is necessary to remove the dynamic object of the point cloud map because it can degrade the matching performance. To date, it was manually removed by a person. In this paper, we propose an algorithm for a method of generating a point cloud map with dynamic obstacle information removed using NDT and deep learning.