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室内温熱指標が酸化スズ系ガスセンサに与える影響とその出力予測
http://hdl.handle.net/2297/35271
http://hdl.handle.net/2297/35271fb223429-ecc9-46b7-9f13-53726e9ce11d
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
TE-PR-KIMURA-H-14.pdf (1.2 MB)
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| Item type | 学術雑誌論文 / Journal Article(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2017-10-03 | |||||
| タイトル | ||||||
| タイトル | 室内温熱指標が酸化スズ系ガスセンサに与える影響とその出力予測 | |||||
| タイトル | ||||||
| タイトル | Influence of indoor thermal indexes to a tin oxide gas sensor output and prediction of its output | |||||
| 言語 | en | |||||
| 言語 | ||||||
| 言語 | jpn | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
中本, 義徳
× 中本, 義徳× 大薮, 多可志× 木村, 春彦 |
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| 書誌情報 |
電気学会論文誌. E, センサ・マイクロマシン部門誌 = The transactions of the Institute of Electrical Engineers of Japan. A publication of Sensors and Micromachines Society 巻 121, 号 1, p. 14-19, 発行日 2001-01-01 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 1341-8939 | |||||
| NCID | ||||||
| 収録物識別子タイプ | NCID | |||||
| 収録物識別子 | AN1052634X | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.1541/ieejsmas.121.14 | |||||
| 出版者 | ||||||
| 出版者 | 電気学会 = Institute of Electrical Engineers of Japan | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | There are various researches on a tin oxide gas sensor. It is effective to adopt the various information in an indoor environment. The information is derived from the sensor output characteristics. And, it is also understood that the sensor output is influenced by the indoor climate. The purpose of this research is to clarify the influence of the temperature, humidity and the atmospheric pressure to the gas sensor output. However, the fluctuation of the base level of the sensor output every day is considerably large. So, it is difficult to introduce directly some information from the sensor level. It is attempted to characterize the variance by smoothing the sensor output using the moving average method. As for results, a strong correlation coefficient presents between the sensor output and the atmospheric pressure. This result can be applied to predict a sensor output. The sensor output is derived roughly using an approximate equation, which is introduced by the trigonometric function. The predicted value, however, does not have good accuracy in summer and winter. A theory of Markov source is used to predict an accurate gas sensor output still more. The Markov prediction value is good at an actual sensor output in summer. Both methods are very effective to predict an indoor thermal indexes using tin oxide gas sensor. | |||||
| 権利 | ||||||
| 権利情報 | Copyright © 電気学会 The Institute of Electrical Engineers of Japan | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
| 関連URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | http://www.iee.or.jp/ | |||||
| 関連URI | ||||||
| 識別子タイプ | URI | |||||
| 関連識別子 | https://www.jstage.jst.go.jp/browse/ieejsmas/-char/ja/ | |||||
