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ホウチン テルヒサ
Teruhisa Hochin
寶珍 輝尚 所属 追手門学院大学 理工学部 情報工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2017/10 |
| 形態種別 | 外国学術誌（First author） |
| 査読 | 査読あり |
| 標題 | Improvement and evaluation of estimation of time series data of daily life |
| 執筆形態 | 共著・編著（代表編著を除く） |
| 掲載誌名 | International Journal of Networked and Distributed Computing |
| 掲載区分 | 国外 |
| 巻・号・頁 | 5(4),pp.233-242 |
| 担当区分 | 筆頭著者,責任著者 |
| 著者・共著者 | Teruhisa Hochin,Hiroki Nomiya |
| 概要 | This paper improves the estimation of the amounts of sewage flow, which is one of daily life data, in order to manage them efficiently. The amounts of flow of a typical day are tried to be adjusted to those of a non-regular day. A typical (non-regular, respectively) day is a non-rainy day having good data and no (a few) outliers. The values for the adjustment are tried to be estimated by using the multiple regression analysis. It is shown that the estimation can be improved, and these values can be estimated by using the temperature of that day, the amount of the rain fall of the previous day, and the day type, which distinguishes a weekday, Saturday, Sunday, and a national holiday. The estimation is tried to be used in estimating the data of a regular day. It is experimentally shown that the estimation works well. |
| DOI | 10.2991/ijndc.2017.5.4.5 |
| ISSN | 2211-7938/2211-7946 |
| DBLP ID | journals/ijndc/HochinN17 |
| PermalinkURL | https://dblp.uni-trier.de/db/journals/ijndc/ijndc5.html#HochinN17 |