Smart Meter IOT: Security vs Privacy in a Heterogeneous IOT environment

Internet of Things (IOT) enabled communication devices have become a ubiquitous commodity in the smart metering solutions world for the purposes of “getting the data off the meter". Many of these devices have little to no measurable security, aside from the infamous “security through obscurity” which we can no longer rely on, as the average individual has access to off-the-shelf “discovery” tools to infiltrate any such device within physical distance.

Accelerate development of new technologies and applications for advanced water treatment - Year two

Global population growth, urbanization and changing climate patterns have increased the demand for potable water, wastewater reuse and value recovery from wastewater, and treatment of industrial process water. Population growth also results in increased demand for the shipping of goods by ocean freight, with the associated risk of the transport of unwanted marine life from one location to another by the discharge of ballast water.

The estimation and prediction of crop biomass and final yield using UAV-based point cloud data

This study will focus on an alternative remote sensing method for crop long-term biomass monitoring and prediction of final yield using Unmanned Aerial Vehicle (UAV) based 3D point cloud data in Southwestern Ontario. Currently, biomass and yield are estimated from statistical and crop growth models. However, statistical models are only applicable for specific area or environmental conditions; crop growth models require many input parameters which are impractical for individual farmers. The allometric method could be an alternative for crop biomass estimation.

Machine learning towards intelligent steel refining processes

In the steelmaking industry, process control models need to be based on a sound physical understanding of the process but should also account for many uncertainties due to the nature and complexity of the environment in which the process is carried out. As a result, it is crucial to extract useful process control information from the raw data stream acquired by the industrial sensors.

Regulating Abnormal Connectivity in Posttraumatic Stress Disorder via Real-time fMRI Neurofeedback - Year two

Patients with posttraumatic stress disorder (PTSD) are characterized by decreased prefrontal cortex (PFC) regulation on hyperactive emotion generation regions, such as the amygdala. Real-time (rt)-fMRI neurofeedback allows for localized brain regions to be self-regulated through neuroimaging signal feedback. Recently within our lab, learning to decrease amygdala activation via neurofeedback was shown to normalize the neural circuitry maintaining PTSD, which was negatively correlated to symptoms.

Keeping the Spark Alive: How Novelty and Responsiveness Can Enhance Intimate Relationship

Romantic relationships play a key role in happiness but keeping the spark alive over time in relationships is challenging. One route to maintaining passion and desire is to engage in self-expanding activities with a partner. Although novel, self-expanding experiences tend to promote desire and passion, introducing novelty into a relationship can be intimidating. In a recent study, we found that individuals who were asked to engage in exciting sexual activities over the course of two-weeks reported greater passion and sexual desire, though there was no influence on intimacy.

Technical and Economic Assessment of Implementing UV Treatment in Potable Reuse Process Trains

Driven by climate change induced water scarcity, further enhanced by rapid urbanization and population growth, potable water reuse initiatives are gaining interest. Potable reuse involves the indirect or direct use of highly treated municipal wastewater as a municipal drinking water source. Historically, the most commonly installed potable reuse train consisted of microfiltration, reverse osmosis (RO), and ultraviolet (UV) as treatment stages.

Advanced Hybrid Solid-State Lithium(-ion) Batteries for Electric Vehicle Applications

As the dominating power supplies for current electric vehicles (EVs), the state-of-the-art LIBs are yet sulfuring from severe challenges in terms of safety, lifespan, and energy density due to the adoption of liquid electrolytes (LEs). Accordingly, developing next generation solid-state lithium(-ion) batteries (SSLBs) is considered to be a feasible approach to achieve safe and high energy density power supplies for future EVs with long driving distance and short charging time.

Evaluating Natural Channel Design Performance in Southern Ontario

Natural channel design practices are continually evolving, but monitoring the performance and success of these urban river engineering projects is often limited to sparse point measurements of streamflow, stream morphology, and species inventories during the 2 - 5 years following construction. The result is relatively few data on the overall performance of natural channel design projects, both in terms of the original project goals and geomorphic function (no net erosion and deposition).

A melanoma diagnosis and prognosis framework with human readable explanation

Melanoma is the most lethal skin cancer, accounting for 2% of all skin cancer types, yet approximately 75% of skin cancer deaths. It often evolves from clear skin or existing moles, making it difficult to diagnose at early stage. Besides, the treatment of melanoma is a complex decision making process, which is affected by a large number of internal and external factors, e.g. disease location, staging, etc.