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商品詳細
Application of Data Mining Techniques in the Analysis of Indoor Hygrothermal Conditions. 1st ed. 2016
・ISBN 978-3-319-22293-6 paper EUR 49.99
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| 著者・編者 | Ramos, Nuno M.M. / Delgado, Joao M.P.Q. / Almeida, Ricardo M.S.F. / Simoes, Maria L. / Manuel, Sofia, |
|---|---|
| シリーズ | (SpringerBriefs in Applied Sciences and Technology) |
| 出版社 | (Springer International Publishing AG, SZ) |
| 出版年月 | 2015 |
| ページ数 | 48 pp. |
| 言語 | ENG |
| ニュース番号 | ＜A05-43345＞ |
解説
The main benefit of the book is that it explores available methodologies for both conducting in-situ measurements and adequately exploring the results, based on a case study that illustrates the benefits and difficulties of concurrent methodologies.
The case study corresponds to a set of 25 social housing dwellings where an extensive in situ measurement campaign was conducted. The dwellings are located in the same quarter of a city. Measurements included indoor temperature and relative humidity, with continuous log in different rooms of each dwelling, blower-door tests and complete outdoor conditions provided by a nearby weather station.
The book includes a variety of scientific and engineering disciplines, such as building physics, probability and statistics and civil engineering. It presents a synthesis of the current state of knowledge for benefit of professional engineers and scientists.