| Item type |
紀要論文 / Departmental Bulletin Paper(1) |
| 公開日 |
2010-11-08 |
| タイトル |
|
|
タイトル |
Image analysis of characteristics of fluctuations of thermal mannequin's surface temperature distributions using time series infrared images |
|
言語 |
en |
| 言語 |
|
|
言語 |
eng |
| キーワード |
|
|
主題 |
thermal image, thermal mannequin, surface temperature, cross ventilation, image analysis |
| 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 |
departmental bulletin paper |
| 著者 |
Iino, Akinaru
Annaka, Tetsuo
Iino, Yukari
Ohba, Masaaki
|
| 抄録 |
|
|
内容記述タイプ |
Abstract |
|
内容記述 |
The final goal of this study was to propose a visualization method of heat transfer distributions over the human body in the indoor environment under cross ventilation conditions. Distributions of thermal mannequin's surface temperature fluctuations were visualized by image processing on infrared animations recorded at 30Hz sampling rate, and their characteristics were analyzed, as the first step of this study. At first, the influence of air velocity fluctuations on surface temperature fluctuations of thermal mannequin was visualized in the experimental room under cross ventilated cases and under air conditioned cases. An image processing method to transfer the infrared animations to power spectrum images was proposed in order to clarify the frequency of surface temperature fluctuations. And the distributions of sensible heat on thermal mannequin's surfaces were also visualized by classifying the pixels of power spectrum images by the cluster analysis and calculating the correction coefficient that was defined on each cluster for multiplying to roughly estimated value of sensible heat using the mean heat transfer coefficient. |
| 書誌情報 |
新潟工科大学研究紀要
巻 13,
p. 71-79,
発行日 2008-12
|
| ISSN |
|
|
収録物識別子タイプ |
ISSN |
|
収録物識別子 |
1342-792X |
| 書誌レコードID |
|
|
収録物識別子タイプ |
NCID |
|
収録物識別子 |
AN10590360 |
| 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 |
| 出版者 |
|
|
出版者 |
新潟工科大学 |
13_71-79.pdf (1.6 MB)
