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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술대회자료
- 저자정보
- 발행연도
- 2017.10
- 수록면
- 76 - 79 (4page)
이용수
이 논문의 연구 히스토리 (2)
2017
IoT & Python based Measurement and Analysis of Lighting Color temperature and Illuminance for Humancentric Lighting Control
Youjin Kim
,
Hyunseok Kim
,
Jihun Jeon
외 1명
AIC 2017 Jeju
2017.10
학술대회자료
IoT & Python based Measurement and Analysis of Lighting Color temperature and Illuminance for Human-centric Lighting Control
Youjin Kim
,
Hyunseok Kim
,
Jihun Jeon
외 1명
AIC 2017 Jeju
2017.10
학술대회자료
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
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초록· 키워드
오류제보하기
For the near future, the color temperature and illuminance of the networkable and dimmable LED or OLED luminaire will be manually or autonomously controlled for the human-centric lighting. The decision of level for dimming and color temperature is essential required to human-centric lighting under the various environment. Before predicting and deciding the level, the color temperature and ambient light under the various office environment should be measured during specific periods to understand the lighting environment around human.
This paper proposes the state of art measurement based on IoT (Internet of Things) including the cloud computing. The color temperature and ambient light or illuminance is sensed, transferred to the cloud server, gathered as big data, and analyzed in the cloud computing with Python. The result provides the correlation of color temperature and illuminance between the lighting of the office work place around human and the daylight around window with analyzing big data.
This paper proposes the state of art measurement based on IoT (Internet of Things) including the cloud computing. The color temperature and ambient light or illuminance is sensed, transferred to the cloud server, gathered as big data, and analyzed in the cloud computing with Python. The result provides the correlation of color temperature and illuminance between the lighting of the office work place around human and the daylight around window with analyzing big data.
목차
ABSTRACT
INTRODUCTION
WIFI - IOT & PYTHON BASED LIGHT METER AND ANALYSIS FOR BIG DATA FROM CLOUD
EXPERIMENTAL
RESULTS AND DISCUSSION
CONCLUSION
REFERENCES
참고문헌 (0)
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UCI(KEPA) : I410-ECN-0101-2019-651-000501646