| LDR | | 02784nmm uu200433 4500 |
| 001 | | 000000332018 |
| 005 | | 20240805165841 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438017955 |
| 035 | |
▼a (MiAaPQ)AAI10791520 |
| 035 | |
▼a (MiAaPQ)purdue:22508 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 248032 |
| 082 | 0 |
▼a 624 |
| 100 | 1 |
▼a Sadeghi, Seyed Amir. |
| 245 | 10 |
▼a Visual Preferences and Human Interactions with Shading and Electric Lighting Systems. |
| 260 | |
▼a [S.l.] :
▼b Purdue University.,
▼c 2018 |
| 260 | 1 |
▼a Ann Arbor :
▼b ProQuest Dissertations & Theses,
▼c 2018 |
| 300 | |
▼a 152 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B. |
| 500 | |
▼a Adviser: Panagiota Karava. |
| 502 | 1 |
▼a Thesis (Ph.D.)--Purdue University, 2018. |
| 520 | |
▼a Buildings in the United States are responsible for 40% of the primary energy use and 30% of carbon dioxide emissions. As awareness is being raised for the energy consumption and environmental impacts of buildings, it is not surprising that impro |
| 520 | |
▼a Therefore, understanding and modeling human-building interactions and their links to energy consumption and occupant satisfaction with the indoor environment is the main goal of this research. To this end and with a focus on the visual environme |
| 520 | |
▼a To this end, four identical private offices in a high performance building located in West Lafayette, IN were equipped with sensing network and online survey questionnaires to study almost 300 occupants during the two sets of field studies condu |
| 520 | |
▼a With the insights gained from the first field study, the research extends to exploit the resulted dataset as a basis for the development of a hierarchical Bayesian approach which is used, for the first time, to model human interactions with moto |
| 520 | |
▼a The second field study was designed and conducted to collect data for occupants' satisfaction with the visual environment when exposed to different combinations of daylight and electric light conditions, along with data from room sensors, shadin |
| 520 | |
▼a In summary, the systematic data collection methods and prototype interfaces used in this dissertation establish a consistent and reliable approach for studying human interactions with building systems and satisfaction with the indoor environment |
| 590 | |
▼a School code: 0183. |
| 650 | 4 |
▼a Civil engineering. |
| 690 | |
▼a 0543 |
| 710 | 20 |
▼a Purdue University.
▼b Civil Engineering. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-10B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0183 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997651
▼n KERIS |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a 관리자 |