Research and test of the full waveform inversion method

Full waveform inversion (FWI) is an inversion technique that uses least squares theory to compute a velocity model of the Earth that minimizes the difference between an acquired shot and a synthetic shot. The technique proved to be of hard usage in industry and the goal of the project is to research for solutions that allow the application on real seismic data. The gradient (direction of the model update) will be computed with the PSPI migration and the scale factor (for proper update) will be computed by least squares. The final implement is to apply it on elastic waves (real data).

Asynchronous vs. Synchronous Rumor Spreading

Our intended research will be focused on rumor spreading protocols, also known as randomized broadcasting. In the randomized rumor spreading problem, the goal is to broadcast a message that is initiated at one node to all nodes in a given network, by means of nodes choosing uniformly at random a neighbor and exchanging the message with that neighbor. We can assume two models for these algorithms: a synchronous model in which nodes communicate in synchronized steps (in parallel), and an asynchronous model in which each node has an independent clock that it uses for communication.

Catalytic low cost carbon resources pyrolysis under natural gas for upgraded oil production

Fast pyrolysis followed by hydrodeoxygenation upgrading is the most popular way to produce bio-oil from biomass. A two-step process can be combined together as hydropyrolysis treatment. This approach usually involves continuous hydrogen flow and high operation pressure (15~100 atm), resulting in significantly increased capital and operational costs. Compared to hydrogen, which is not naturally available and thus
costly, methane can be readily obtained as natural gas. Metal loaded zeolites will be prepared as the catalysts by incipient wetness impregnation method.

Source apportionment of black carbon in Calgary, Canada

Black carbon (BC), generated from incomplete combustion of carbonaceous fuels, is one of the two major airborne pollutants that drive climate change and degrade regional air quality. With a warming potential second to CO2, BC contributes the most uncertainty to climate modeling due to its short retention time in the atmosphere and poorly understood mixing, deposition, and contribution from various emission sources. BC from fossil fuel and biomass burning possesses distinct light absorbing properties and aging processes, and hence differing warming potentials.

Data Mining of Urban Mobility Pattern Using Taxi Trajectory Data

Urban mobility results from human movements from one region to another for interaction such as working, trading goods and other social events. Urban mobility has caused not only urban prosperity, but also some problems in the urban system, such as congestion, air pollution, energy consumption, public health and disease transmission. Therefore, understanding urban mobility is very important for urban planning and management. Urban mobility usually has certain patterns such as origin-destination pattern and spatio-temporal pattern.

Methods to improve high-resolution airborne thermal infrared (TIR) imagery in support of urban waste heat mapping, monitoring and metrics

This proposal builds on 5 years of research in the award winning HEAT (Heat Energy Assessment Technologies) project. Every year, billions of GJ of wasted heat leave millions of buildings in thousands of cities world-wide. In an effort to support urban energy efficiency, this research proposes four novel image post-processing techniques to improve/verify the geometry, radiometry and the processing of large volumes of high-resolution airborne thermal infrared (TIR) imagery. Results are expected to enable faster and more accurate urban waste heat mapping and refined waste heat metrics.

CommuterVis: Visually Understanding Commuter Behaviour in Canada

Too many people drive cars for commuting to work. If people used more active and sustainable transportation options this would reduce the impact on the environment and likely increase people’s physical activity and well-being. Our project partner Sustainable Alberta Association (SAA) is a not for profit organization that organize a Canadian annual wide competition called Commuter Challenge held during Environment Canada Week where individuals and work places track their commuting behaviour over a week.

Bulk Data Transfer among Cloud Data Centers: Online Algorithms and SDN Implementation

This project studies efficient online optimization algorithms for large-scale data transfer among data centers in a geographically-distributed cloud system, as well as their SDN (Software Defined Networking)-facilitated implementation. Big data analytics, content distribution, and various web applications (social networking, search engine) have become dominating applications on today's cloud platforms.

Stepping Out. The impact of exercise on young adults with Autism Spectrum Disorder.

The overall research project undertaken by the University of Calgary graduate students will examine the effects of exercise on young adults 18-35 years of age with Autism Spectrum Disorder (ASD). Areas of investigation include cerebral blood flow changes, as well as sleep behavioral improvements. By doing research such as this, we will justify the use of exercise as a non-invasive means of treating and managing ASD, and additionally, establish exercise protocol templates that can be replicated in other universities and fitness facilities across the country.

Facilitating knowledge transfer by sharing experience before carriers disappear

The knowledge and skills of long-term employees are vital to the success of any business. When they leave, retire or are no longer available to perform their functions new employees are hired to take on their job functions. Somehow the skills of the departing long-term employees have to be transferred to the newly hired. The most effective way for transferring the skills to the new employees is mentoring.