Abstracts of Annual Conference of Japan Society for Management Information
Annual Conference of Japan Society for Management Information 2020
Session ID : 1B2-2
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Abstract
Development of a Sunset Prediction System and Creating Tourism
*Kento Kumazaki, Haruka Ohba, Shingo Sadakuni, Takashi Matsuda, Shinya Mizuno
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Abstract

The purpose of this study is to record, predict, and deliver beautiful moments in everyday landscape, and to derive potential tourism resources. We re-evaluate our everyday landscape, focusing on the sunset. First, we calculate a color distribution using RGB distance from teacher images. Next, we calculate a similarity of a color distribution between image of the fixed-point camera and teacher image to obtain a degree of beautiful sunset. Next, forecast dataset is created from open data, and this model is constructed using a stepwise method and logistic regression. This case, we confirm that there is more than 80% probability of forecasting a sunset. In the future, we will make this model able to use everyday landscapes as local tourism resources.

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© 2021 by Japan Society for Management Information
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