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Toronto, Canada

Ryerson University is a public research university located in downtown Toronto, Ontario, Canada. Its urban campus surrounds the Yonge-Dundas Square; located at the busiest intersection in Downtown Toronto. It is seen as one of Canada's leading universities and has a focus on applied, career-oriented education. The majority of its buildings are in the blocks northeast of the Yonge-Dundas Square in Toronto's Garden District. Wikipedia.

Misic J.,Ryerson University
IEEE Journal on Selected Areas in Communications | Year: 2012

We investigate the performance of simple cognitive personal area network (CPAN) with cooperative sensing among the nodes and CPAN coordinator. Nodes are equipped with small buffers of capacity K packets, and each node is allowed to transmit a batch of up to μ packets in one transmission cycle. Upon transmission, each node must support the operation of the CPAN by performing sensing duty. We model this system through probabilistic analysis and a queuing model, and demonstrate the tradeoff between the accuracy of cooperative spectrum sensing and node's ability to communicate. © 2012 IEEE. Source

Rousseau D.,Ryerson University
Current Opinion in Colloid and Interface Science | Year: 2013

The pace of development of edible Pickering emulsions has recently soared, as interest in their potential for texture modification, calorie reduction and bioactive compound encapsulation and delivery has risen. In the broadest sense, Pickering emulsions are defined as those stabilized by interfacially-adsorbed solid particles that retard and ideally prevent emulsion coalescence and phase separation. Numerous fat-based species have been explored for their propensity to stabilize edible emulsions, including triglyceride and surfactant-based crystals and solid lipid nanoparticles. This review explores three classes of fat-based Pickering stabilizers, and proposes a microstructure-based nomenclature to delineate them: Type I (surfactant-mediated interfacial crystallization), Type II (interfacially-adsorbed nano- or microparticles) and Type III (shear-crystallized droplet encapsulation matrices). Far from simply reporting the latest findings on these modes of stabilization, challenges associated with these are also highlighted. Finally, though emphasis is placed on food emulsions, the fundamental precepts herein described are equally applicable to non-food multicomponent emulsion systems. © 2013 Elsevier Ltd. Source

A conceptual framework for determining the appropriate choice of commercialization strategies when evaluating the market environment for Renewable Energy Technology (RET) is presented. A comprehensive review of the literature dealing with technology innovation and commercialization strategies was undertaken to identify suitable theoretical constructs and empirical support from which to develop the framework. The principal claim of this research is that commercialization of innovation in RET is influenced by two important market dimensions; RET demand (market-pull) and eco-sophistication of the market (technology-push). Measures are determined for each of these market dimensions and four distinct commercialization environments are identified; Innovation Wasteland, Innovation Push, Innovation Pull and Innovation Nirvana. Each of these environments impacts the choice of commercialization strategies. A k-means cluster analysis is employed using member countries of the OECD and emerging economies, such as Brazil, Russia, India, and China (BRIC), to illustrate the use of this framework in addressing the choice of commercialization strategy to be employed in these jurisdictions. This study results in a diverse distribution of OECD and BRIC countries across all of the identified commercialization environments. These findings have implications for small and medium RET firms, investors and energy policy makers. © 2011 Elsevier Ltd. All rights reserved. Source

The application of common risk assessment measures, such as the Level of Service Inventories (LSI), to Aboriginal offenders has been a criticized practice. The belief that Aboriginal offenders have distinct needs has informed the argument that existing risk-need assessments cannot adequately capture their risk. To explore this, the present meta-analysis reviewed 16 samples to test the extent to which LSI scores predict recidivism for Aboriginal compared with non-Aboriginal offenders. In addition, one large sample was used to examine the similarities in recidivism rates per LSI score for Aboriginal and non-Aboriginal offenders. Results indicated that the LSI predicts recidivism for Aboriginal offenders; however, for five of eight subscales, it predicts with less accuracy compared with non-Aboriginal offenders. In addition, the LSI underclassifies low-scoring Aboriginal offenders, but accurately estimates recidivism rates for higher scoring offenders. Implications for research into culturally-specific risk factors and the application of current risk factors to Aboriginal offenders are explored. © 2013 International Association for Correctional and Forensic Psychology. Source

Fiala M.,Ryerson University
IEEE Transactions on Pattern Analysis and Machine Intelligence | Year: 2010

Fiducial markers are artificial landmarks added to a scene to facilitate locating point correspondences between images, or between images and a known model. Reliable fiducials solve the interest point detection and matching problems when adding markers is convenient. The proper design of fiducials and the associated computer vision algorithms to detect them can enable accurate pose detection for applications ranging from augmented reality, input devices for HCI, to robot navigation. Marker systems typically have two stages, hypothesis generation from unique image features and verification/ identification. A set of criteria for high robustness and practical use are identified and then optimized to produce the ARTag fiducial marker system. An edge-based method robust to lighting and partial occlusion is used for the hypothesis stage, and a reliable digital coding system is used for the identification and verification stage. Using these design criteria large gains in performance are achieved by ARTag over conventional ad hoc designs. © 2010 IEEE. Source

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