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Articles 151 - 180 of 2308
Full-Text Articles in Engineering
Autonomous Unmanned Aerial Vehicle Navigation Using Reinforcement Learning: A Systematic Review, Fadi Almahamid, Katarina Grolinger
Autonomous Unmanned Aerial Vehicle Navigation Using Reinforcement Learning: A Systematic Review, Fadi Almahamid, Katarina Grolinger
Electrical and Computer Engineering Publications
There is an increasing demand for using Unmanned Aerial Vehicle (UAV), known as drones, in different applications such as packages delivery, traffic monitoring, search and rescue operations, and military combat engagements. In all of these applications, the UAV is used to navigate the environment autonomously --- without human interaction, perform specific tasks and avoid obstacles. Autonomous UAV navigation is commonly accomplished using Reinforcement Learning (RL), where agents act as experts in a domain to navigate the environment while avoiding obstacles. Understanding the navigation environment and algorithmic limitations plays an essential role in choosing the appropriate RL algorithm to solve the …
Anonymization & Generation Of Network Packet Datasets Using Deep Learning, Spencer K. Vecile
Anonymization & Generation Of Network Packet Datasets Using Deep Learning, Spencer K. Vecile
Electronic Thesis and Dissertation Repository
Corporate networks are constantly bombarded by malicious actors trying to gain access. The current state of the art in protecting networks is deep learning-based intrusion detection systems (IDS). However, for an IDS to be effective it needs to be trained on a good dataset. The best datasets for training an IDS are real data captured from large corporate networks. Unfortunately, companies cannot release their network data due to privacy concerns creating a lack of public cybersecurity data. In this thesis I take a novel approach to network dataset anonymization using character-level LSTM models to learn the characteristics of a dataset; …
Configuration And Sizing Of Small Modular Reactor With Thermal Energy Storage Within A Microgrid For Off-Grid Communities, Michael W. C. Davis
Configuration And Sizing Of Small Modular Reactor With Thermal Energy Storage Within A Microgrid For Off-Grid Communities, Michael W. C. Davis
Electronic Thesis and Dissertation Repository
Many off-grid communities in Canada rely on diesel generators for their electricity needs. This is not only expensive but also produces significant greenhouse gas emissions. Small modular reactors (SMRs) have been proposed to replace diesel generators and can be combined with photovoltaic (PV) sources to form a microgrid. However, fluctuations in loads and PV create challenges for SMRs. Integrating a thermal energy storage (TES) system with the SMR can increase the flexibility of the power system to operate more effectively. This thesis first examines methodologies to determine suitable configurations of such a microgrid. Through analysis of the system components and …
The Design And Evaluation Of A Subacromial Implant In Restoring Normal Glenohumeral Joint Stability In The Presence Of A Massive Irreparable Rotator Cuff Tear, Cole T. Fleet
Electronic Thesis and Dissertation Repository
Massive irreparable rotator cuff tears are a common cause of pain and disability. Several different treatment options are available for this pathology; however, these treatments have been associated with poor clinical outcomes when used to treat younger (<65 years), more active patients. The purpose of this thesis was to design and evaluate a subacromial implant in its ability to restore normal glenohumeral stability and range of motion. The implant was created as a modular device, which captured different implant thicknesses (5mm and 8mm) and constraints (high and low) within its design. In-vitro testing compared the ability of these implants to restore normal shoulder biomechanics. The results indicated the 5mm high constraint implant to be the most effective in restoring normal joint position. Furthermore, range of motion increased when the implant was paired with a tuberoplasty procedure. These results suggest this implant may be advantageous in treating younger patients.
Numerical Analysis Of Internal Hydraulic Jump In Complex Topography, Dylan Macriner
Numerical Analysis Of Internal Hydraulic Jump In Complex Topography, Dylan Macriner
Electronic Thesis and Dissertation Repository
Topographic effects on internal hydraulic jumps in stratified flow over complex geometry are studied. The simulations are motivated by flow conditions present in a channel in Hood Canal, Washington with continuous density profiles and constant inlet velocities.
Results show that mixing in the domain is typically increased by topographic variation, where isolated expansions saw an increase in mixing, but the associated velocity decrease in expansions had contrasting effects on mixing. Likewise, a contraction with an increased velocity caused more mixing, seeing geometry change and velocity acting as compounding factors. 2D results including along channel topographic variation modelled after Hood Canal's …
Open-Source And 3-D Printed Autoinjector, Anjutha Selvaraj
Open-Source And 3-D Printed Autoinjector, Anjutha Selvaraj
Undergraduate Student Research Internships Conference
Autoinjectors have become popular modern injectable medical devices used as drug delivery systems. Due to its ease, capability and reliability compared to other conventional injectable medical devices, the market and manufacturing demand for autoinjector devices are increasing at a staggering rate. Although autoinjectors can offset healthcare treatment costs through self-administered medication, they are expensive for consumers. This paper describes the design and manufacture of a spring-driven and 3-D printed autoinjector using open-source hardware. By making it an open-source resource for everyone, the barrier of advanced research in design and production can be lifted, thus making it easily manufacturable and cost-effective. …
Applying Gis Software To Visualize Temporal Changes In Drinking Water Quality Sources, Salam Radhaa
Applying Gis Software To Visualize Temporal Changes In Drinking Water Quality Sources, Salam Radhaa
Undergraduate Student Research Internships Conference
The Chippewas of the Thames First Nation Reserve in southwestern Ontario has been under a Boil Water Advisory for an extended period of time. This project aims to create a framework to address this issue by detecting possible pollutants and presenting in a visual manner.
Several sample sites are utilized to determine the source of pollution as there are many possibilities: upstream overflow events, farm runoff, other point sources upstream. Extra care will go to sampling within 24hr of a significant precipitation event to measure spikes in pollutants that have accumulated during dry periods.
ArcGIS software (ArcMap) is utilized as …
Morphology And Strain In The Subchondral Trabeculae Of Osteoarthritic Humeral Heads, Anna Yang
Morphology And Strain In The Subchondral Trabeculae Of Osteoarthritic Humeral Heads, Anna Yang
Undergraduate Student Research Internships Conference
This project compares the strains and morphological parameters of subchondral bone in osteoarthritic and non-pathogenic cadaveric humeral heads.
Optimized And Automated Machine Learning Techniques Towards Iot Data Analytics And Cybersecurity, Li Yang
Optimized And Automated Machine Learning Techniques Towards Iot Data Analytics And Cybersecurity, Li Yang
Electronic Thesis and Dissertation Repository
The Internet-of-Things (IoT) systems have emerged as a prevalent technology in our daily lives. With the wide spread of sensors and smart devices in recent years, the data generation volume and speed of IoT systems have increased dramatically. In most IoT systems, massive volumes of data must be processed, transformed, and analyzed on a frequent basis to enable various IoT services and functionalities. Machine Learning (ML) approaches have shown their capacity for IoT data analytics. However, applying ML models to IoT data analytics tasks still faces many difficulties and challenges. The first challenge is to process large amounts of dynamic …
The Development Of A Motion Sensing Device For Use In A Home Setting, Jaspreet K. Kalsi
The Development Of A Motion Sensing Device For Use In A Home Setting, Jaspreet K. Kalsi
Electronic Thesis and Dissertation Repository
Parkinson's disease (PD) is the second most prevalent neurodegenerative disease, with over 10 million individuals diagnosed with PD world-wide. The most common symptom characterized by PD is tremor. Tremor is an involuntary oscillatory motion that most prominently occurs in upper limb, specifically in the hand and wrist that has a measurable frequency and amplitude. This thesis aims to evaluate the usability and functionality of a tremor sensing device designed to collect quantitative data on individuals with PD. The designed device uses 23 commercially-available inertial measuring units (IMUs) located between 21 joints: distal interphalangeal (DIP) joints, proximal interphalangeal (PIP) joints, Interphalangeal …
Teb 406 Reflection, Ryan Alfonso Falcon
Teb 406 Reflection, Ryan Alfonso Falcon
Undergraduate Student Research Internships Conference
Slides for a non-exhaustive reflection on my work in summer
Usri Restore Research Group Internship, Tristan Paventi
Usri Restore Research Group Internship, Tristan Paventi
Undergraduate Student Research Internships Conference
A powerpoint presentation summarizing my summer internship at RESTORE environmental research group. This internship mainly focused on geophysics of electromagnetic mapping of high salinity zones. Electromagnetic instruments such as the EM31-MK2 and the GEM-2 were used to detect salinity, as well as electrical resistivity Tomography (E.R.T.). Another focus was waste rock from mines, where we conducted acidity tests and sieve analysis to discover the cumulative acidity from acid mine drainage.
Examination Of Installation Effects On Multi-Jet Meter Performance, Domenic Quiquero
Examination Of Installation Effects On Multi-Jet Meter Performance, Domenic Quiquero
Undergraduate Student Research Internships Conference
Alongside Mitchell Boody and Dr. Eric Savoury's supervision, the effect of additional internal friction of multi-jet flow meters caused by various orientations was experimentally analyzed. Multi-jet flow meters are commonly used in multi-unit residential buildings, thus by understanding the effects of the corresponding orientational loss, our industry partners can better assess water cost. This study coincides with Mitchell Boody's work using simulations to demonstrate the impact of frictional loss in multi-jet flow meters and building upon the work of Paulo Barros Rodrigues with other orientations.
Improving The Crystal Habit Of Rufinamide, Peter M. Sadaka
Improving The Crystal Habit Of Rufinamide, Peter M. Sadaka
Undergraduate Student Research Internships Conference
This research was developed by utilizing the knowledge gathered and learned about crystallization through my USRI project. The goal was to improve the crystal habit of a selected drug from the many that were available in the lab. To choose this, we looked at all of them and chose the drug with the worst habit and then began working. It was created by organizing my findings for each week and then making it all much more concise for the form of a simple presentation that most could understand.
Ai-Based Traffic Forecasting In 5g Network, Maryam Mohseni
Ai-Based Traffic Forecasting In 5g Network, Maryam Mohseni
Electronic Thesis and Dissertation Repository
Forecasting of the telecommunication traffic is the foundation for enabling intelligent management features as cellular technologies evolve toward fifth-generation (5G) technology. Since a significant number of network slices are deployed over a 5G network, it is crucial to evaluate the resource requirements of each network slice and how they evolve over time. Mobile network carriers should investigate strategies for network optimization and resource allocation due to the steadily increasing mobile traffic. Network management and optimization strategies will be improved if mobile operators know the cellular traffic demand at a specific time and location beforehand. The most effective techniques nowadays devote …
Introduction To Pub/Sub Systems Using Opcua, Mete Isiksalan
Introduction To Pub/Sub Systems Using Opcua, Mete Isiksalan
Undergraduate Student Research Internships Conference
The purpose of the project was to learn and implement the fundamental basics of OPCUA system architecture using pub/sub systems. The system allows the users to create multiple different publishers and subscribers while accessing data from a local server and a primary HTTP server. The system is designed to be a multi-client and multi-server system to simulate real-life scenarios while having two different sources of generated values to send via sockets in OPCUA protocols, multiple different APIs were used for the clients on how they retrieve data as well.
Improving Electrical Properties Of Polypropylene/Gnp Composites Using Compatibilizer And Solvent-Assisted Melt Blending, Yazan Al Jawhari
Improving Electrical Properties Of Polypropylene/Gnp Composites Using Compatibilizer And Solvent-Assisted Melt Blending, Yazan Al Jawhari
Undergraduate Student Research Internships Conference
Over the past few years, polymer products have become essential to our lives. Many people may think that polymers are simply plastics, however, that is just the tip of the iceberg. Polymer products are used in food, sport, medical, and technological industries. There have been numerous applications in all these areas, but in the technological industry, electronic devices, in particular, are affected by electrostatic discharge (ESD) generated by friction during handling, packaging, or transportation. This requires the use of antistatic packaging, a special package that has low electrical resistivity in order to avoid electron accumulation.
This study is an attempt …
Moment-Curvature Relationship Of Concrete Columns Exposed To Fire From Two, Three, And Four Sides, Catherine G. Bell
Moment-Curvature Relationship Of Concrete Columns Exposed To Fire From Two, Three, And Four Sides, Catherine G. Bell
Undergraduate Student Research Internships Conference
Designing structures so they have adequate structural integrity in the event of a fire is extremely important. Therefore, it is important to facilitate achieving the optimal designs, which achieve fire safety while allowing for innovative solutions. Such designs are expected to follow the performance-based design criteria, which replaced the prescriptive-based design criteria in several design standards. Engineers are in dire need for tools that allow utilization of this design approach. This research addresses this need. Simplified tools that evaluate the effect of the number of column surfaces exposed to fire on its structural behavior have been examined. A column exposed …
Normative Joint Angles And Compensation During Fit-Hansa Test, Jennifer J. Villeneuve
Normative Joint Angles And Compensation During Fit-Hansa Test, Jennifer J. Villeneuve
Undergraduate Student Research Internships Conference
Imagine a world where no injuries occurred, muscular compensation was able to be detected early on and imbalances resolved before any risks appear. Muscular compensation can cause injuries, especially with repetitive motion or through activities of daily living. The study I conducted focuses on the compensation methods of shoulder abduction and trunk lean during the FIT-HaNSA series. Determining the normative ranges of motion can increase early detection of fatigue for all individuals. This can help make repetitive jobs such as working in a factory much safer for all employees, as they can switch tasks as soon as fatigue is identified. …
Triple-Motor Driver For Hand Simulator, Yamaan Bakir
Triple-Motor Driver For Hand Simulator, Yamaan Bakir
Undergraduate Student Research Internships Conference
No abstract provided.
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 …
Identification And Distribution Analysis Of The Mid-Phase In A Low-Velocity Gas-Solid Fluidized Bed, Zhenan Zhang
Identification And Distribution Analysis Of The Mid-Phase In A Low-Velocity Gas-Solid Fluidized Bed, Zhenan Zhang
Electronic Thesis and Dissertation Repository
The intermediate phase in low-velocity gas-solid fluidized beds generally presents excellent gas-solid contact in the systems. However, no comprehensive understanding of this vital phase is available in the literature. Therefore, this study proposed a statistical method to identify this intermediate phase, named ‘mid-phase’ in this thesis, to interpret the system performance based on the analysis of solids holdup in a low-velocity gas-solid fluidized bed.
The distributions of the mid-phase are investigated along both radial and axial directions in consideration of different flow regimes. The result shows that the turbulent regime contains a higher amount of mid-phase and the spatial mid-phase …
Morphology Of The Acromion And Scapular Spine With Special Interest In The Strength & Failure Prediction After Reverse Total Shoulder Replacement, Andrei M. Matusa, Cole Fleet, George S. Athwal, James A. Johnson
Morphology Of The Acromion And Scapular Spine With Special Interest In The Strength & Failure Prediction After Reverse Total Shoulder Replacement, Andrei M. Matusa, Cole Fleet, George S. Athwal, James A. Johnson
Undergraduate Student Research Internships Conference
Scapular spine fractures following a reverse arthroplasty are a significant clinical concern. This ongoing study looks at the morphology of the acromion and scapular spine with an interest in the strength and failure prediction of the bone. Digital 3D models of the scapular spine were created from cadaver CTs, then bone density and distribution data was obtained. It was found that the cortical bone was most dense just medial of the lateral angle. The cross-sectional area here was also the largest and decreased medially. This has important implications for implant fixation hardware as cortical bone --compared to cancellous bone-- is …
Developing Accurate Methods To Measure Pressure Fluctuations In Fluidized Beds, Lama Abdulal
Developing Accurate Methods To Measure Pressure Fluctuations In Fluidized Beds, Lama Abdulal
Undergraduate Student Research Internships Conference
In gas-solid fluidized beds, pressure measurements provide essential information on bed hydrodynamics and any issues in signal detection. Because solids tend to pass through the line that connects a pressure tap[1]to a pressure transducer, a backflushing system helps to prevent the plugging of this line. This study focuses on designing the backflushed system to minimize any degradation in the pressure signal between the fluidized bed and the pressure transducer. To test, a vessel was pressurized to compare the responses of a backflushed system and a reference transducer to a sudden change in pressure. The results showed that the …
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 …
Tca Fabrication Devices, Brendan R. Difabio
Tca Fabrication Devices, Brendan R. Difabio
Undergraduate Student Research Internships Conference
Twisted coil actuators are a recent technology that has different properties from popular actuators used today. Being so new, there is still much to learn about these actuators. This project aims to create devices that can be used to make the fabrication process simple and repeatable.
Video-Based Non-Contact Vibration Measurement Software, Mithila Sothynathan, Samuel Asokanthan
Video-Based Non-Contact Vibration Measurement Software, Mithila Sothynathan, Samuel Asokanthan
Undergraduate Student Research Internships Conference
This study aims to develop a cost-effective, accessible, and contactless means of measuring vibrations.
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 …
Credit Card Fraud Detection, Charles Wang
Credit Card Fraud Detection, Charles Wang
Undergraduate Student Research Internships Conference
In recent years, credit card fraud poses a significant threat to banks and customers financially over the world. However, in the banking industry, to counter this issue, machine learning algorithms has become a growing trend to put proactive intervention of credit card fraud in place. In this project, we are going to detect fraudulent credit card transactions with machine learning models. This data set includes 284807 credit card transactions of European cardholders over a period of two days with their personal information kept anonymous. Among all transactions, 492 were fraudulent.