• Design and Analysis of a Low Q Three-phase Series Resonant Converter 

  Kalathy, Abirami

  Renewable energy applications require highly efficient DC-DC converter stages that can work under a wide range of operating conditions. Resonant DC-DC converters have extensively been used for many applications due to their ...

• Stable Leader-Follower Systems: A Passivity Perspective for Telerobotics and Vehicle Platooning 

  Mokogwu, Chiedu

  Advances in computing, more affordable hardware electronics, and reliable communications have led to development of cutting-edge robotic applications where two or more subsystems interact in a leader-follower arrangement ...

• Behavioral Modelling of the Transient and CdV/dt Induced Turn-on of a Hybrid High Power Switch Unit 

  MACDONALD, Jacob

  The use of hybrid power switches is a practical and effective method of improving the performance of high power switching devices. An emerging strategy is to combine high power Si IGBTs with SiC MOSFETs to take advantage ...

• Security by Design: Reducing Information Exchange in Multi-Agent Search Tasks 

  Kulchyk, Jeremy

  Intrinsic to multi-agent systems is the trait of inter-agent dependency on information exchange. During safety-critical tasks, errors in information exchange between agents can lead to vulnerable system behaviour. Consequently, ...

• ANALYSIS, OPTIMIZATION, AND PRACTICAL DESIGN OF A SPLIT-PHASE DICKSON SWITCHED CAPACITOR CONVERTER FOR HIGH CURRENT APPLICATIONS 

  Sun, Richard

  The Switched-Capacitor Converter (SCC) topology has been gaining attention from researchers because of their advantages of higher power density, better switch utilization, and low component stress. However, SCCs have a ...

• TECHNOLOGIES TO IMPROVE GAN-BASED LLC RESONANT CONVERTER FOR WIDE INPUT VOLTAGE, HIGH OUTPUT CURRENT AC-DC AND DC-DC APPLICATIONS 

  Sheng, Bo

  The industry driving toward smaller, and more efficient electronics has led to the development of Switch Mode Power Supply (SMPS) in today’s most popular industrial applications. Resonant converters, among a variety of ...

• Techniques for Enabling High-Order Modulation Formats in Short-Reach Optical Communication Networks Based on Directly Modulated Lasers 

  Deb, Nebras

  The need to satisfy bandwidth-hungry applications with a growing number of internet users has raised the requirements for capacity and reach in optical communication systems. Recent advances in field modulation and digital ...

• Observation Points based Multi-modal Fusion Systems for Skeleton Action Recognition 

  Singh, Iqbal

  Current methods for skeleton-based action recognition compute features based on the given skeleton joint information. We show that introducing new observation points in skeleton motion sequences and using them to create ...

• ProCam Calibration using Single Pose of 2D Planar Target 

  Lawal, Ghani

  This thesis presents a simple and user friendly method for calibrating a procam system from a single pose of a 2D planar target. The camera intrinsic parameters, projector intrinsic parameters, procam system's extrinsic ...

• Novel Structures and Materials for Broadband Antennas 

  Banting, Hayden

  Presented in this thesis are advancements made in the fields of broadband antennas, reconfigurable antennas and emerging materials in applied electromagnetics. Firstly, the investigation of a millimeter-wave log-periodic ...

• Finding Failures in Real-Time Systems Using Realistic Model Scheduling 

  Chen, Jian

  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 

  Hajian, Gelareh

  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 

  Azmy, Sherif

  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 

  Salari, Omid

  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 

  Kaur, Jaswin

  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 

  Laha, Arpan

  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 

  Kourkounakis, Tedd

  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 

  Cruz de Araujo, Arthur

  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 

  Laurenzi, Michael

  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 

  Ross, Kyle

  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 ...

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