메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색
질문

논문 기본 정보

자료유형
학술저널
저자정보
Sang-hun Lee (Keimyung University) Jieun Choi (Keimyung University) Hyunjung Jung (Keimyung University) Hyerim Ju (Keimyung University) Kyujin Cho (Keimyung University) Jungeun Kim (Keimyung University)
저널정보
계명대학교 자연과학연구소 Quantitative Bio-Science Quantitative Bio-Science Vol.38 No.2
발행연도
2019.11
수록면
105 - 111 (7page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색
질문

초록· 키워드

오류제보하기
In indoor and outdoor atmospheric environments, fine particulate has been recognized as hazardous substances that may cause respiratory diseases. Thus, proper countermeasures to monitor and reduce fine particulate are required. In particular, atmospheric environments can be deteriorated by higher levels of PM<SUB>2.5</SUB> when fine mineral particles such as fly ash from coal-fired power plants are discharged into the atmosphere. To resolve this problem, effective monitoring of PM<SUB>2.5</SUB>, among various other countermeasures, is important for fine dust management. The monitoring performance can be enhanced by integrating the monitoring with information technology (IT), which has been developing rapidly. For fundamental research to test the effectiveness of a monitoring system, it is desirable to select a test particulate with a single composition (alumina: Al₂O₃) and a narrow range of particle sizes (~0.5 μm) to minimize unknown variations of particle behaviors with composition and particle size. In addition, a test chamber can reduce the sensitivity and possible occurrence of errors resulting from changes in air conditions. Therefore, in this study, a test set was proposed through the construction of a test chamber and a low-cost PM sensor for fine particulate experiments integrated with sensor monitoring. This study is expected to contribute greatly to the development of a future IT-based intelligent program capable of predicting the behaviors of fine particulate.

목차

Abstract
Introduction
Materials and Methods
Results and Discussion
Conclusion
References

참고문헌 (13)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0

UCI(KEPA) : I410-ECN-0101-2020-047-000138166