Computational thinking is a recent and very popular addition to elementary school curricula. Computational thinking projects students undertake include five basic parts: identifying key features of a problem (decomposing), creating a model of relationships among factors (modeling) in a causal system or data, designing steps (algorithm) to solve the problem or analyze data, trying out and repairing missteps (debugging), and generalizing findings.
The number and size of commercial ships transporting goods to and from ports in the Salish Sea continues to grow. Additionally, there are considerable industrial developments being planned in the region, including a major port expansion, and an oil pipeline terminal under consideration. These trends suggest more ship traffic, and with this comes an increase to cetaceans in the risk these vessels pose for collisions.
The project is to develop a middleware system for improving drinking water management system. The middleware integrates multiple data sources in addition to the real-time network data, including information of weather from satellite/ radar and water quality of surface water from remote sensing and then analyze them. It's smart algorithms will predict and prioritizes events depending on the severity of the problem.
As shared micromobility services (e.g., e-bikes, public bike shares, e-scooters) expand, there are uncertainties in how these will integrate with our current transportation systems. This project aims to examine public perceptions of micromobility in Metro Vancouver to understand the potential for shared micromobility in the region. Using surveys, focus groups, and case studies we ask: Who are the potential users of shared micromobility? What are the barriers and facilitators for use of micromobility? What is the potential for integration with transit services?
D-Wave systems purports to have designed a quantum processor based on scalable architecture that physically implements quantum annealing, an algorithm that can be used to solve a wide variety of optimization problems. In order for D-Wave devices to exhibit a performance advantage over classical processors, it is necessary that the devices utilize a resource that is inaccessible to any classical algorithm. This resource is generally associated with quantum entanglement.
The proposed project will establish an echo-system consisting of various environmental sensors and actuators and how they can be integrated to build a prototype indoor garden for demonstration purposes. Through utilizing IoT-enabled sensory data from image and environmental sensors, one can obtain relevant information about plant growth in real-time or use the data for a posteriori analysis. The large number of generated data will be used to create mathematical signatures that can be used for a variety of applications such as detecting anomalies in the growth process.
The light-sensing portion of the human eye, called the retina, is a highly complex structure that is nourished by several layers of small blood vessels. Diseases that lead to blindness, including Diabetic Retinopathy (which affects approximately one third of people with diabetes), often damage this network of blood circulation, causing changes to manifest in specific regions within the retina. Optical Coherence Tomography Angiography (OCT-A) is a relatively novel technology which can be used to visualize the retinal microcirculation in three dimensions.
Facing Dragons is a mobile health game that gives quests and challenges to young adults (17-29) to help them figure out what to do with their lives, gain an empowered sense of self and unlock their purpose in life.
One of the key research innovations in this game is the addition of a special interface for support workers and caregivers that helps them get to know the young adults they work with.
Recent research has shown that people can perceive which affective state one is in simply by looking at body movements (without facial expression). Because of this, it has been possible to train machine learning algorithms to automatically recognize the affect of users from their body movements, to be used in human-computer interaction. This project consists in trying to adapt and deploy the same type of algorithms in a VR environment, where only partial movement information is available (hands and head positions of the user).
Fuel cells are a clean energy technology that generates electricity without harmful emissions and uses hydrogen as the fuel in place of oil. As fuel cell electric vehicles are deployed globally on a significant scale, it is critical to ensure high levels of operational durability and reliability, equal to or exceeding that of incumbent engine technologies. The proposed project addresses the durability of the membrane, which is one of the key components of fuel cells.