방사선 정상수준 수치의 동위원소별 방사능오염 분석을 위한 clustering

• 영문명: Networks Clustering for the analysis of radioactive contamination of radiation summit level of the isotope of numerical
• 발행기관: 한국IT마케팅학회
• 저자명: 최정아(Jung Ah Choi) 정용규(Yong Gyu Jung)
• 간행물 정보: 『한국IT마케팅학회 논문집』한국IT마케팅학회 논문집 1권 1호, 102~103쪽, 전체 2쪽
• 주제분류: 경제경영 > 경영학
• 파일형태: PDF
• 발행일자: 2014.11.27

영문 초록

Radioactive-related incidents such as The Fukushima nuclear exposure incident have been frequently occur. so several government agencies propose radioactivity levels normal range about each area of the city, state. and we always contrast radiation exposure risk because Korea is close to Japan. Data of this paper, has a collection from the United States government. and The number beyond the information and the range of the attribute I were analyzed. The analysis method is clustering using EM and SimpleKMeans algorithm. The analyzed results about US Radioactive associated data, Exceedance probability higher the number of the normal range is high, I was found to be high. and Depending on the method of analysis, it can be seen that the method of the algorithm is different. so The more local value of the normal range is high, the government increased the investigation frequency, you need to pay attention.

목차

Abstract

Ⅰ. 서론

Ⅱ. 관련연구

Ⅲ. 실험

Ⅳ. 평가 및 토의

Ⅴ. 결론

참고문헌

키워드

SimpleKMeans Algorithm EM Algorithm Environmental Radiation clustering