Undergraduate

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  • Developing geopolymer composites using dry mixing technique
    Developing geopolymer composites using dry mixing technique
    Sustainability Issues: • Each ton of cement production-one ton of carbon-dioxide, 1 kg of sulphur dioxide (SO2), 2 kg oxides of nitrogen (NOx) and 10 kg dust into the atmosphere (Zhang et al., 2018) • Shortage of Landfill sites Optimum Solution: Geopolymer concrete (GPC)- novel form of concrete, synthesized by the alkali activation of source materials (aluminosilicate rich materials) ( Davidovits, 1991). On Site Feasibility Problems: • Highly corrosive alkaline solution-based reagents • Heat Curing Feasible Solution: Dry Mixing Technique • Powder-based reagents: required in less quantity • Source Materials: aluminosilicate rich materials • No need of heat curing, Sood, D., Krisht, J., Hossain, K.M.A. Developing geopolymer composites using dry mixing technique. Poster session presented at The Undergraduate Research Opportunities (URO) Program, Toronto, ON.
    Development of CT texture analysis in COPD and association with visual scoring and DLCO
    Development of CT texture analysis in COPD and association with visual scoring and DLCO
    Objectives: • To determine if CT texture features, such as GLCM and FD, can differentiate patients with COPD from healthy volunteers, and are related to lung function • To determine if CT texture features are association with qualitative visual scoring • To determine if CT texture features are significantly associated with COPD outcomes, independent of qualitative scoring and standard quantitative CT emphysema measurements Hypothesis: • CT texture features can be developed to objectively aid in quantifying the severity of emphysema, and may provide information complementary to qualitative visual assessment, Lui, V., Tan, W. C., Hogg, J. C., Coxson, H. O., Kirby, M. (2019, October). Development of CT texture analysis in COPD and association with visual scoring and DL. Presented at The Undergraduate Research Opportunities (URO) Program, Ryerson University, Toronto, ON.
    Development of an Aerostructural Analysis Tool for a Low-Sweep Parametric Wing
    Development of an Aerostructural Analysis Tool for a Low-Sweep Parametric Wing
    An aerostructural analysis program was developed to predict the aerodynamic performance of a non-rigid, low-sweep wing. The wing planform was geometrically defined to have a rectangular section, and a trapezoidal section. The cross-section was further set to an airfoil shape which was consistent across the entire wingspan. Furthermore, to enable the inclusion of this multidisciplinary analysis module into an optimization scheme, the wing geometry was defined by a series of parameters: root chord, taper ratio, leading-edge sweep, semi-span length, and the kink location. Aerodynamic analysis was implemented through the quasi-three-dimensional approach, including a three-dimensional inviscid solution and a sectional two-dimensional viscous solution. The inviscid analysis was provided through the implementation of the vortex ring lifting surface method, which modelled the wing about its mean camber surface. The viscous aerodynamic solution was implemented through a sectional slicing of the wing. For each section, the effective angle of attack was determined and provided as an input to a two-dimensional airfoil solver. This airfoil solution was comprised of two subcomponents: a linear-strength vortex method inviscid solution, and a direct-method viscous boundary layer computation. The converged airfoil solution was developed by adjusting the effective airfoil geometry to account for the boundary layer displacement thickness, which in itself required the inviscid tangential speeds to compute. The structural solution was implemented through classical beam theory, with a torsion and bending calculator included. The torque and bending moment distribution along the wing were computed from the lift distribution, neglecting the effects of drag, and used to compute the twist and deflection of the wing. Interdisciplinary coupling was achieved through an iterative scheme. With the developed implementation, the inviscid lift loads were used to compute the deformation of the wing. This deformation was used to update the wing mesh, and the inviscid analysis was run again. This iteration was continued until the lift variation between computations was below 0.1%. Once the solution was converged upon by the inviscid and structural solutions, the viscous calculator was run to develop the parasitic drag forces. Once computation had completed, the aerodynamic lift and drag forces were output to mark the completion of execution.
    Digital Control for Fatigue Testing Machine Applied to Additively Manufactured Thermoplastics
    Digital Control for Fatigue Testing Machine Applied to Additively Manufactured Thermoplastics
    A system that outputs force and number of applied force cycles with respect to time was designed to make a fatigue analysis machine. The design of electric circuit and the microcontroller Arduino code was developed and tested. The two subsystems comprise of a load cell for force readings and an electric motor for outputting cyclical forces to a test coupon. The subsystems should minimize error and maximize experimental modulation to validate the output data. The testing data of the subsystems of the fatigue apparatus was presented and analyzed to verify the design.
    Digital Processing with a Hybrid Plasmonic Logic Nanogate
    Digital Processing with a Hybrid Plasmonic Logic Nanogate
    We developed a simple strategy to gate a plasmonic event with a hybrid photoresponsive compound capable of mimicking AND-type logic behaviour. Binary digits are encoded into ultraviolet and visible illumination (which are used as inputs) and the fluorescence of the molecule (the arithmetic output). The plasmonic process chosen is the visible lightcontrolled, gold-nanoparticle (AuNP) catalysed reduction of resazurin to resorufin, while the second optical input is the UVA-induced cleavage of a 2- nitrobenzyl quencher. The synergistic combination of plasmonic nanostructures and organic molecules allows for the manipulation of a programmable Boolean logic operation at the molecular level., Al Nubani, L., Dogantzis, N., Hodgson, G., Impellizzeri, S.(2019, October). Digital processing with a hybrid plasmonic logic nanogate. Poster session presented at The Undergraduate Research Opportunities (URO) Program, Toronto, ON.
    Effects of temperature and trematode infection on the foraging behaviour of their snail hosts
    Effects of temperature and trematode infection on the foraging behaviour of their snail hosts
    Hypothesis – Snails with trematode infections and exposure to increased temperatures will show greater preference for antioxidant-rich foods, Smith, T.R., Koprivnikar, J. (2019, October). Effects of temperature and trematode infection on the foraging behaviour of their snail hosts. Presented at The Undergraduate Research Opportunities (URO) Program, Ryerson University, Toronto, ON
    Experimental data acquisition and analysis of an underground thermal storage medium
    Experimental data acquisition and analysis of an underground thermal storage medium
    A ground source heat pump (GSHP) is a system that uses the ground as a heat source/sink to provide heating/cooling to a conditioned space. During the winter, a GSHP uses a heat pump cycle to move heat from the ground into a space in order to heat it In the summer, the space is cooled as heat is pumped out of the space and back into the ground GSHPs are a sustainable alternative to conventional HVAC systems because they do not rely on direct fossil fuel consumption, and they are highly efficient as they move heat rather than generate it In addition, the temperature of the ground remains constant throughout the year, resulting in a greater thermal efficiency, and therefore less energy consumption, Gonzalez-Ferras, A. (2019, October) Experimental data acquisition and analysis of an underground thermal storage medium. Poster session presented at The Undergraduate Research Opportunities (URO) Program, Ryerson University, Toronto, ON.
    Healthcare for uninsured migrant populations in Ontario: what do nurses need to know?
    Healthcare for uninsured migrant populations in Ontario: what do nurses need to know?
    Individuals from another country residing in Canada (with the intent to stay here) who do not have access to publicly funded coverage for healthcare/medical services, Marquez, M., Rummens, J. A.healthcare for uninsured migrant populations in Ontario: what do nurses need to know? Presented at the Undergraduate Research Opportunities (URO) Program, Ryerson University, Toronto, ON
    Hong Kong 360
    Hong Kong 360
    Immerse yourself in disappearing culture, emerging art and centuries of tradition in the Hong Kong 360 documentary reporting project., Cameron, J. (2019, October). Hong Kong 360. Poster session presented at The Undergraduate Research Opportunities Program, Ryerson University, Toronto, ON.
    Implementation of Convolutional Neural Networks for Warp Detection in 3D Printed Components manufactured via Fused Filament Fabrication: A Bayesian-Based Automated Approach
    Implementation of Convolutional Neural Networks for Warp Detection in 3D Printed Components manufactured via Fused Filament Fabrication: A Bayesian-Based Automated Approach
    Fused Filament Fabrication (FFF) is an additive manufacturing technique commonly used in industry to produce complicated structures sustainably. Although promising, the technology frequently suffers from defects, including warp deformation compromising the structural integrity of the component and, in extreme cases, the printer itself. To avoid the adverse effects of warp deformation, this thesis explores the implementation of deep neural networks to form a closed-loop in-process monitoring architecture using Convolutional Neural Networks (CNN) capable of pausing a printer once a warp is detected. Any neural network, including CNNs, depend on their hyperparameters. Hyperparameters can either be optimized using a manual or an automated approach. A manual approach, although easier to program, is often time-consuming, inaccurate and computationally inefficient, necessitating an automated approach. To evaluate this statement, classification models were optimized through both approaches and tested in a laboratory scaled manufacturing environment. The automated approach utilized a Bayesianbased optimizer yielding a mean accuracy of 100% significantly higher than 36% achieved by the other approach.
    Indigenous city field trip a resource guide to Ryerson University
    Indigenous city field trip a resource guide to Ryerson University
    This resource guide contributes to a knowledge base of events, facts, interpretations, and relationships relating to Indigenous peoples with a particular focus on the land that is currently occupied by Ryerson University. This knowledge base is available for free to anyone who wishes to learn about or educate others about this topic. We realize that nobody “owns” this knowledge but that knowledge is always embodied and situated in personal experiences. Please use and share this knowledge responsibly and with respect. The guide is intended to facilitate walking field trips involving particular sites (i.e. “stations”) located on or close to Ryerson campus. For each station, we identified several resources and included links to original sources. We structured this guide by listing the sources followed by a brief description of the information from the source in bullet form. This brief description does not replace reading the original source but is rather intended to help the reader navigate the guide. We envision several ways in which this guide can be used: it can be used as a self-guided tour; it can be used by the community organizations and Ryerson instructors to develop field trips to be delivered to their classes or other audiences; or it can be used by students and the wider community to learn about Indigenous peoples and their relationship to Ryerson University., Caribou, J., Reesor, R., & Ryerson University. School of Graduate Studies.Program in Immigration and Settlement Studies.Indigenous city field trip: A resource guide to Ryerson University
    Investigation of Falcon Dive and Developing Kinematic Approach
    Investigation of Falcon Dive and Developing Kinematic Approach
    This study investigates the aerodynamic methods already implemented in studying a peregrine falcon dive. The paper presents a literature review of aerodynamic methods, starting from mathematical models aimed at predicting falcon dive using minimum drag theory. This is followed by experimental methods that developed the flight path trajectory using high-tech cameras. Additionally, the paper presents numerical analysis of the falcon body model using computational fluid dynamics and particle image velocimetry in order to assess and derive aerodynamic coefficients. Based on the research, a kinematic model for the problem was developed, and the reason for failure were highlighted.