Indoor Air Condition Measurement and Regression Analysis System Through Sensor Measurement Device and Gated Recurrent Unit


KIPS Transactions on Software and Data Engineering, Vol. 6, No. 9, pp. 457-464, Sep. 2017
10.3745/KTSDE.2017.6.9.457,   PDF Download:
Keywords: Atmospheric Observation System, Time Series Prediction, Long-Short Term Memory(LSTM), Circuit Type Circulation Unit(GRU)
Abstract

Indoor air quality analysis is conducted to understand abnormal atmospheric phenomena and the external factor affecting indoor air quality. By recording indoor air quality measurements periodically, we are able to observe patterns in air quality. However, it difficult to predict the number of potential parameters, set parameters for a given observation and find the coefficients. Moreover, the results are time-dependent. Thus to address these issues, we introduce a microchip capable of periodically recording indoor air quality and a model that estimates atmospheric changes based on time series data.


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Cite this article
[IEEE Style]
J. Ahn, D. Shin, K. Kim, J. Yang, "Indoor Air Condition Measurement and Regression Analysis System Through Sensor Measurement Device and Gated Recurrent Unit," KIPS Transactions on Software and Data Engineering, vol. 6, no. 9, pp. 457-464, 2017. DOI: 10.3745/KTSDE.2017.6.9.457.

[ACM Style]
Jaehyun Ahn, Dongil Shin, Kyuho Kim, and Jihoon Yang. 2017. Indoor Air Condition Measurement and Regression Analysis System Through Sensor Measurement Device and Gated Recurrent Unit. KIPS Transactions on Software and Data Engineering, 6, 9, (2017), 457-464. DOI: 10.3745/KTSDE.2017.6.9.457.