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- Artificial Intelligence (1)
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- Damage Quantification (1)
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Articles 1 - 6 of 6
Full-Text Articles in Physical Sciences and Mathematics
A Qualitative Look Into Repair Practices, Jumana Labib
A Qualitative Look Into Repair Practices, Jumana Labib
Undergraduate Student Research Internships Conference
This research poster is based on a working research paper which moves beyond the traditional scope of repair and examines the Right to Repair movement from a smaller, more personal lens by detailing the 6 categorical impediments as dubbed by Dr. Alissa Centivany (design, law, economic/business strategy, material asymmetry, informational asymmetry, and social impediments) have continuously inhibited repair and affected repair practices, which has consequently had larger implications (environmental, economic, social, etc.) on ourselves, our objects, and our world. The poster builds upon my research from last year (see "The Right to Repair: (Re)building a better future"), this time pulling …
Damage Assessment In Aging Structures Using Augmented Reality, Omar Zuhair Awadallah, Ayan Sadhu
Damage Assessment In Aging Structures Using Augmented Reality, Omar Zuhair Awadallah, Ayan Sadhu
Undergraduate Student Research Internships Conference
Structural Health Monitoring (SHM) is the assessment of bridges and observation of data regarding these bridges over time to monitor their evolution and detect the presence of any possible damages. However, existing methods to perform structural inspections in bridges are high in cost, time-consuming and risky. Inspectors use expensive equipment to reach a certain area of the bridge to inspect it, and at different heights, this can pose a risk to the inspector’s safety. This study aims to find cheaper, faster, and safer ways to perform structural inspections using augmented reality and artificial intelligence. The developed system uses a machine …
Data Preprocessing For Machine Learning Modules, Rawan El Moghrabi
Data Preprocessing For Machine Learning Modules, Rawan El Moghrabi
Undergraduate Student Research Internships Conference
Data preprocessing is an essential step when building machine learning solutions. It significantly impacts the success of machine learning modules and the output of these algorithms. Typically, data preprocessing is made-up of data sanitization, feature engineering, normalization, and transformation. This paper outlines the data preprocessing methodology implemented for a data-driven predictive maintenance solution. The above-mentioned project entails acquiring historical electrical data from industrial assets and creating a health index indicating each asset's remaining useful life. This solution is built using machine learning algorithms and requires several data processing steps to increase the solution's accuracy and efficiency. In this project, the …
Producing And Measuring Oscillatory Shear In A Novel Microfluidic Chip, Sanaz Lordfard, Daniel Lorusso, Tamie L. Poepping, Hristo N Nikolov, Kayla Soon, Stephen Sims, Jeffrey Dixon, David Holdsworth
Producing And Measuring Oscillatory Shear In A Novel Microfluidic Chip, Sanaz Lordfard, Daniel Lorusso, Tamie L. Poepping, Hristo N Nikolov, Kayla Soon, Stephen Sims, Jeffrey Dixon, David Holdsworth
Undergraduate Student Research Internships Conference
Purpose: To demonstrate the effectiveness of a novel microfluidic device mimicking oscillatory blood flow, allowing cell biologists to examine how endothelial cells respond to a range of oscillatory shear stress levels.
Methods: The microfluidic chip consists of a circular-shaped reservoir, leading to a rectangular channel that is examined under a microscope. The plunger is connected to a speaker system and oscilloscope, allowing the plunger to apply a range of frequencies (5-60Hz) and voltages (5-10 V, leading to a variety in oscillation amplitudes) to the reservoir region. 1.1 um fluorescent particles diluted in distilled water were used for tracking. Processing was …
Seismic Landslide Hazard Mapping For Greater Vancouver, British Columbia, Ali Fallah Yeznabad, Sheri E. Molnar, Hesham M. El Naggar
Seismic Landslide Hazard Mapping For Greater Vancouver, British Columbia, Ali Fallah Yeznabad, Sheri E. Molnar, Hesham M. El Naggar
Western Research Forum
The lower Mainland of southwest British Columbia (BC) hosts about 3.5 million people and significant infrastructures of national importance. Southwestern BC has the highest seismic risk in Canada with significant potential to cause earthquake-induced hazards including tsunamis, liquefaction and landslides. A Cascadia mega-thrust (MW 9) earthquake is predicted to generate $75 billion Canadian dollars in losses. This damage can be resulted from ground shaking or its secondary phenomena like landslides; ground shaking during earthquakes may trigger landslides that can damage or destroy buildings, bury roads and highways and kill and injure people. In Canada, during the past century and …
P26. Global Exponential Stabilization On So(3), Soulaimane Berkane
P26. Global Exponential Stabilization On So(3), Soulaimane Berkane
Western Research Forum
Global Exponential Stabilization on SO(3)