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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
- 1Artificial neural networks
- 1Automated
- 1Construction Resource Tracking
- 1Construction management
- 1Construction safety
- 1Constructions
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A framework for assessing the safety performance of industrial projects using safety-related measures
DownloadFall 2017
Pereira, Estacio Siemann Santos
Although previous research has emphasized the use of safety-related measures to assess and control safety performance, many construction companies continue to rely on reactive indicators for safety control. The reluctance of industry to use safety-related measures for the proactive evaluation of...
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Spring 2015
Although much academic research has been performed in the study of construction process simulation, this research has not seen mainstream application in the construction industry. Many factors play a deterrent role in the adoption of simulation by construction end users, mainly the time, cost and...
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IntelliSensorNet: A Positioning Technique Integrating Wireless Sensor Networks and Artificial Neural Networks for Critical Construction Resource Tracking
DownloadFall 2011
The increasing needs for safety and productivity improvement in the field of construction engineering and project management have stimulated research interests in developing cost-effective resource tracking and positioning solutions for challenging indoor or partially covered site environments....