Electrical and Computer Engineering, Department of
The Department of Electrical and Computer Engineering prides itself on the excellence of both teaching and research, as well as the strong connection that we have with its students.
This community includes research outputs produced by faculty and students. Submitting works to QSpace may enable compliance with the Tri-Agency Open Access Policy on Publications.
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Recent Submissions
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Finding Failures in Real-Time Systems Using Realistic Model Scheduling
Model-Driven Engineering (MDE) has developed into an increasingly accepted and established research field. With the widespread use of MDE development methods, the need for analysis of models becomes imperative. One form ... -
Generalized Force Estimation using Machine Learning and Deep Learning with EMG and Motion Data
Human movements are accomplished by muscle contractions, resulting in force exertion. Accurate estimation of the generated force is desired in many applications such as robotics, prosthesis control, and sports. The surface ... -
Quality Estimation for Scarce Scenarios within Mobile Crowd Sensing Systems
Mobile Crowd Sensing (MCS) is a paradigm that exploits the presence of a crowd of moving human participants to acquire, or generate, data from their environment. As part of the Internet of Things (IoT) paradigm, MCS serves ... -
HYBRID ENERGY STORAGE SYSTEMS FOR ENERGY EFFICIENT ELECTRIC DRIVE VEHICLES: CONVENTIONAL APPROACHES AND MUTLI-SOURCE TOPOLOGIES
With the increasing global awareness and call for reduced dependence on fossil fuels and their polluting byproducts, energy efficient electric vehicles are gaining more attention for replacing internal combustion engine ... -
Generalization of a Constraint Based Intrusion Detection System
In a world rampant with cyber crime, Intrusion Detection System(IDS) provides an effective way to grapple with cyber attacks. An IDS is used to monitor the network traffic and generate alerts for any malicious activities ... -
MODELLING AND EFFICIENCY OPTIMIZATION OF WIRELESS POWER TRANSFER SYSTEMS HAVING ONE OR TWO RECEIVERS
This thesis presents a study on the modelling of wireless power transfer systems and techniques to improve system efficiency. Using time domain modelling, useful modes of operation are identified, and performance graphs ... -
Toward Smart Classrooms: Automated Detection of Speech Analytics and Disfluency with Deep Learning
Strong presentation skills are valuable and sought-after in workplace and classroom environments alike. Though they are necessary for day-to-day life, there is a lack of effective resources to help improve upon these ... -
Predicting the Last Mile: Route-Free Prediction of Parcel Delivery Time with Deep Learning for Smart-City Applications
The massive acquisition of parcel data motivates postal operators to foster the development of predictive systems for better customer service. Predicting delivery after the parcels are sent out of the final depot, referred ... -
Miniaturized GNSS Antenna Feeding Networks Using Multi-Layer LTCC Technology
Circularly Polarized (CP) antennas are crucial elements in wireless communications, and for geospatial applications such as Global Navigational Satellite Systems (GNSS), their Right-Hand Circular Polarization (RHCP) is an ... -
Unsupervised Multi-Modal Representation Learning using Convolutional Autoencoders for Affective Computing with Wearable Data
With recent developments in smart technologies, there has been a growing focus on the use of artificial intelligence and machine learning for affective computing to further enhance the user experience through emotion ... -
A Deep Learning Network for Validation of 3D Point Cloud Surface Registration
This thesis proposes a novel deep learning architecture called ValidNet to automatically validate the correctness of a 3D surface registration outcome. The performance of many tasks such as object detection mainly depends ... -
Phase Shift, Duty Cycle and variable Frequency Control of a Full-Bridge DC-DC Converter for Two Solar PV Panels
Renewable energy resources are becoming the future of power generation with a particular focus on harvesting the solar energy found in abundance on earth’s surface. Different power converter topologies are used for energy ... -
Developing Better Models for Dialogue Threads and Responses
In this thesis, we focus on developing machine learning algorithms to model human dialogues and conversations by investigating three basic tasks. We first study the development of retrieval-based chatbots, in which the ... -
A One Shot Method For Estimating The Two Parameter Division Model Of Lens Radial Distortion Based On The Direct Linear Transformation
Many computer vision algorithms assume a pinhole camera model, but commercial and off-the-shelf cameras usually exhibit enough lens distortion to violate this model. There are many methods that have been proposed to estimate ... -
DeepSkin: Mobile-based Skin Quality Assessment with Deep Learning
We present a novel skin quality assessment system with the goal of improving skin care. This system leverages digital dermoscopy and consists of hardware, software, and a machine learning component to automate the process ... -
Carbon Nanotube Polymer Composite Based Electrodes with Ability to Adhere to Hairy Skin for Application in Electrophysiological Sensing
Biopotential recordings such as electroencephalogram (EEG) and electrocardiogram (ECG) measurements have applications in medical diagnosis, health care, human-machine interface, entertainment, etc. Electrodes are an important ... -
Hybrid Distributed Stochastic Gradient Descent for Federated Learning
With the advancement of information technology in the past decades, the world embraces the era of 'Big Data', in which large volumes of data are being produced in high velocity, while there is an increasing demand in ... -
System Design and Performance Study for Wireless Information and Energy Transfer in the Internet of Things
In a tremendous evolution, billions of physical objects are being connected to the Internet, shaping Internet of Things (IoT) as one of the most disruptive technologies that has ever been witnessed. This revolutionary ... -
Frequency Domain Modelling & Design of an LCC Resonant Converter with Capacitive Output Filter
Resonant DC-DC converters have been widely discussed with one of the most popular being the LCC topology. It’s application towards low to high voltage converters warrants the use of a capacitive output filter to limit the ... -
Multi-Sensor Fusion of Automotive Radar and Onboard Motion Sensors for Seamless Land Vehicle Positioning in Challenging Environments
Positioning services for land vehicle navigation have long relied on global navigation satellite systems (GNSS) including GPS; however, GNSS cannot maintain an accurate position while travelling under bridges, around tall ...
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