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2015
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Report
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- Resource Type:
- Report
- Creator:
- Keyte, Lawrence, Dufresne, Vincent, Mallett, Alexandra, Cherniak, David, and Schott, Stephan
- Abstract:
- This report provides a contemporary snapshot of domestic energy usage in Canada’s Arctic (spanning Yukon in the west to Nunatsiavut in the east) with a focus on how Northern jurisdictions meet their electricity and space heating needs. Specifically, the research team investigated the role of alternative energy options, including the governance, policies and financial analysis of these sectors. The team also examined the emerging field of energy conservation and efficiency measures, which have featured prominently in recent years. The report also examines eight case studies from across Canada’s Arctic regions, which represent a cross-section of northern alternative energy and energy efficiency technologies, including both public and privately-driven projects. Each case study includes a project description, objectives and drivers, the role of policy, and a description of barriers, outcomes, success factors and lessons learned. The case studies are divided into five operational case studies, describing projects already constructed and producing renewable heat or power, or reducing demand-side energy loss, and three forward-looking case studies, representing projects still under active development. The report concludes with suggested areas for research and policy recommendations regarding energy system planning, financial policy, and education, engagement and collaboration, in the Canadian Arctic context.
- Date Created:
- 2015-09-21
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- Resource Type:
- Report
- Creator:
- Community First: Impacts of Community Engagement (CFICE)
- Abstract:
- In the winter of 2015, when the Community First: Impacts of Community Engagement (CFICE) project was in the preliminary stages of planning its transition to Phase II, the Community Food Security (CFS) Hub prepared a discussion paper to synthesize collective reflections from hub partners on their proposals for action priorities to be implemented over the next four years of the project (2015-2019). This discussion paper was developed based primarily on interviews conducted with approximately 30 individuals representing the broad array of community- and campus-based partners related to the CFS Hub and reflections from the CFS Hub Management Team. Following the release of this discussion paper, the CFS Hub gathered additional feedback from CFS Hub participants. at a CAFS meeting in May 2015, and via email for those unable to attend.
- Date Created:
- 2015-05-01
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- Resource Type:
- Report
- Creator:
- Mount, Phil and Knezevic, Irena
- Abstract:
- REPORT HIGHLIGHTS - Opportunity for on-site food production comes from public and political support for ‘local food’, combined with a shortage of land for new producers - GIS study of Ontario healthcare properties shows 217 with more than one acre of arable land available, and 54 with more than five acres - Case studies demonstrate the benefits of a ‘farmer’— independent, staff member or community group—and/or labour force dedicated to the project - Initial and on-going viability correlates to the extent of institutional support, particularly staff time for project coordination - Institutional motivations for on-site food production initiatives vary, include mental and physical therapeutic benefits See more at the Project SOIL website.
- Date Created:
- 2015-09-30
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- Resource Type:
- Report
- Creator:
- Daw, Jamie R., Mintzes, Barbara, Morgan, Steven G., Gagnon, Marc-André, Martin, Danielle, and Lexchin, Joel
- Date Created:
- 2015-07-15
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- Resource Type:
- Report
- Creator:
- Yisa, Felix
- Abstract:
- My study attempted to find out if the old part of our brain (limbic system) had a significant role in influencing how we detect the valence of blurry words without conscious awareness of what the words are. 10 participants were shown blurry words that could not be read and were asked to guess valence, without a time limit. The hypotheses for this study was that participants would be accurate in detecting valence of blurred words and that participants would rate negative words the most accurately. I also predicted that participants would attempt to read words before rating valence and they would attempt to read the words only in the beginning. The stimuli were shown to the participants on printed-paper. There were 10 blurred words per page with accompanying 5-point Likert scales by each blurred word with a reference scale at the top of every page. My research data found that there was a significant statistical difference between people’s ability to detect the valence of blurred words compared to the normal ability (which is 100% accuracy). The comparison showed that the participants were significantly worse at detecting the valence of blurred words than unblurred words. There was no significant statistical difference between people’s ability to detect the valence of blurry neutral words compared to the valence of blurry nonsensical words. Participants were equally accurate at both of these word-types. Participant responses also showed that they were statistically better at detecting the valence of negative blurry words than positive blurry words. So they were better at detecting negative valence than those of other valences.
- Date Created:
- 2015-01-06
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- Resource Type:
- Report
- Creator:
- Mehrfard, Hossein and Labiche, Yvan
- Abstract:
- Reverse-engineering object interactions from source code can be done through static, dynamic, or hybrid (static plus dynamic) analyses. In the latter two, monitoring a program and collecting runtime information translates into some overhead during program execution. Depending on the type of application, the imposed overhead can reduce the precision and accuracy of the reverse-engineered object interactions (the larger the overhead the less precise or accurate the reverse-engineered interactions), to such an extent that the reverse-engineered interactions may not be correct, especially when reverse-engineering a multithreaded software system. One is therefore seeking an instrumentation strategy as less intrusive as possible. In our past work, we showed that a hybrid approach is one step towards such a solution, compared to a purely dynamic approach, and that there is room for improvements. In this paper, we uncover, in a systematic way, other aspects of the dynamic analysis that can be improved to further reduce runtime overhead, and study alternative solutions. Our experiments show effective overhead reduction thanks to a modified procedure to collect runtime information.
- Date Created:
- 2015-11-01
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- Resource Type:
- Report
- Creator:
- Labiche, Yvan, Torre, Damiano, and Genero, Marcela
- Abstract:
- Context: The Unified Modeling Language (UML), with its 14 different diagram types, is the de-facto standard modeling language for object-oriented modeling and documentation. Since the various UML diagrams describe different aspects of one, and only one, software under development, they are not independent but strongly depend on each ot her in many ways. In other words, diagrams must remain consistent. Dependencies between diagrams can become so intricate that it is sometimes even possible to synthesize one diagram on the basis of others. Support for synthesizing one UML diagram from other diagrams can provide the designer with significant help, thus speeding up the design process, decreasing the risk of errors, and guaranteeing consistency among the diagrams. Objective: The aim of this article is to provide a comprehensive summary of UML synthesis techniques as they have been described in literature to date in order to obtain an extensive and detailed overview of the current research in this area. Method: We have performed a Systematic Mapping Study by following well-known guide-lines. We selected ten primary studies by means of a search with seven search engines per-formed on October 2, 2013. Results: Various results are worth mentioning. First it appears that researchers have not frequently published papers concerning UML synthesis techniques since 2004 (with the exception of two papers published in 2010). Only half of the UML diagram types are involved in the synthesis techniques we discovered. The UML diagram type most frequently used as the source for synthesizing another diagram is the sequence diagram (66.7%), and the most synthesized diagrams are the state machine diagram (58.3%) and the class diagram (25%). Conclusion: The fact that we did not obtain a large number of primary stud ies over a 14 year period (only ten papers) indicates that synthesizing a UML diagram from other UML diagrams is not a particularly active line of research. Research on UML diagram synthesis is nevertheless relevant since synthesis techniques rely on or en force diagram consistency , and studying UML diagram consistency is an active line of research. Another r esult is that research is need ed to investigate synthesis techniques for other types of UML diagrams than those involved in our primary studies.
- Date Created:
- 2015-08-01