MARC details
| 000 -LEADER |
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| fixed length control field |
nam a22 7a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
IE-CoIT |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20180320124118.0 |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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| fixed length control field |
ta |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
180312s2016 ie ||||| |||| 00| 0|eng|| |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
IE-CoIT |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
THESES PRESS |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| 9 (RLIN) |
123888 |
| Personal name |
Pittam, James |
| Relator term |
author |
| 245 10 - TITLE STATEMENT |
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| Title |
Thermal envelope analysis of local authority low rise housing based on stock aggregation theory using a remote feature extraction technique / |
| Statement of responsibility, etc. |
James Pittam. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Cork : |
| Name of producer, publisher, distributor, manufacturer |
Cork Institute of Technology, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2016. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xiii, 225, 29 pages : |
| Other physical details |
color illustrations ; |
| Dimensions |
30 cm |
| 336 ## - CONTENT TYPE |
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| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
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| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
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| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 490 #0 - SERIES STATEMENT |
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| Series statement |
PhD - Architecture |
| 500 ## - GENERAL NOTE |
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| General note |
Understanding the buildings thermal envelope is paramount to analysing existing problems which facilitate cold bridging and low surface temperatures. As no detailed housing stock database is in existence in Ireland which describes the geometrical configuration of the existing housing stock, and to create one would be a major challenge, this research set out to develop a high speed remote cataloguing and geometrical data extraction methodology to build such a database. Replacing traditional measurement methods with a remote method allows for the rapid extraction of facade information. A remote surveying process is proposed named, the Virtual Survey Method, for the classification of the existing housing stock to provide a foundation platform of information. Building on this platform a Remote Cataloguing, Measurement and Mapping method (RCMM) is proposed, to extract detailed geometrical information from each terrace typology. Terrace facades are then vectorised to map the locations of a defined set of construction details according to envelop category, elevation and orientation interfaces, providing a simplified detail quantification methodology for use in energy efficient retrofit decision support. The RCMM uses photogrammetric techniques for measurement extraction, through the use of static panoramic viewports from Google Street View© and aerial spot images from Google Earth©. This approach speeds up the survey process and generates a classification of the housing stock, and geometrical databases remotely. This is the first study to develop house archetypes using a fully remote process to characterise the case study housing stock. The terraced house stock from 1930 to 1982 can be characterised by five detailed house archetypes. This study is also the first study to include a detailed bottom-up level of geometrical characteristics, capable of pin pointing energy loss to specific thermal bridging locations. The proposed remote methodology can be used to develop a highly detailed national database which would reduce uncertainty in the level of accuracy in housing databases. The advantage to using the proposed method over a traditional method is time and expense with the proposed method being up to four times faster than using a traditional method - (Abstract) |
| 502 ## - DISSERTATION NOTE |
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| Dissertation note |
Thesis |
| Degree type |
|
| Name of granting institution |
Cork Institute of Technology, |
| Year degree granted |
2016. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
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| Bibliography, etc. note |
Bibliography: (pages 214-225) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
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| 9 (RLIN) |
34841 |
| Topical term or geographic name entry element |
Buildings |
| General subdivision |
Thermal properties |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
41931 |
| Topical term or geographic name entry element |
Remote sensing |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
43318 |
| Topical term or geographic name entry element |
Thermal analysis |
| General subdivision |
Methodology |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
38271 |
| Topical term or geographic name entry element |
Housing |
| General subdivision |
Terrace |
| Chronological subdivision |
1930-1982 |
| Geographic subdivision |
Ireland |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |