Investigating the Change Management Process in High Performance Sports Organisations Related to Performance Management

Organisational change is part of life for sports teams, however, research suggests that despite how often change initiatives occur, the success rate for organisations achieving their desired outcomes is less than 30%.
The aim of the study is to investigate how top level sports organisations manage change and to compare the different approaches adopted by various sports in countries around the world.
This study will interview sporting directors and general managers from around the world in order to:
1) identify how sporting directors identify, research and plan change initiatives, with a compar

Application of deep learning in perception and navigation of mobile robotics

Mobile robotics are playing an increasing important role in many areas such as delivery, house cleaning, homecare, etc. How to increase the capability of robotics in perception and navigation is an on-going problem for decades. Due to the dynamic and uncertain chrematistics of the environment, it is still challenging for real application. In recent years, deep-learning has significantly changed the world in many sectors. It greatly enhanced the development of visual perception, object detection, speech recognition, natural language processing, etc.

Assessing the Utility of a Commercial Mobile EEG in Detecting Age-Related Differences in the Brain

The world’s population is aging and thus, healthy cognitive aging a major healthcare priority and goal. Yet, a better understanding of how the brain changes with normal aging versus pathology is required. Recent advancements in wearable technologies may allow the assessment of brain function with greater ease, accessibility, and at a lower cost, as compared with traditional neuroimaging techniques. Specifically, there is now a commercially available mobile electroencephalogram (EEG) device that has the potential to provide information on brain functional connectivity.

Thermodynamic Analysis of Liquefied Natural Gas Refueling Stations and Onboard Fuel Storage Tanks for Mobile Applications - Year two

Liquefied natural gas (LNG) has up to 20% CO2 and 90% NOx fewer emissions than diesel; making it a cleaner alternative fuel for mobile applications. LNG has high volumetric energy density and is cost effective ($0.5 cheaper than diesel gallon equivalent). However, LNG is stored at low temperatures (-162ºC) and releases boil-off gas that contributes to the greenhouse gas (GHG) emissions. In collaboration with Westport Power Inc., the global leader in natural gas engines, we aim to identify the weaknesses in the LNG distribution chain to reduce the GHG emissions and the LNG delivery cost.

Internalizing risks: Value Creation from Internalizing Non-Technical Risks – Mining Sector Case

This work seeks to contribute to developing the “business case” through valuation of environmental and social impacts related to potential risks in the extractive sector taking into consideration both academic and practitioner settings. A solid review of methodologies will lead to important considerations to improve the current assessment and valuation tools. The latter aims to help practitioners better estimate environmental and social impacts, and thus implement more informed strategies that reduce both business and societal risks.

Modelling wood quality and lumber recovery in variable retention stands part II

For many reasons, forest management in Canada will be constrained by ecological and social forest management objectives. Along with meeting the diverse needs of society, forest managers will need to consider increased demands for renewable resources, such as wood. Wood, as opposed to concrete and steel, has a positive impact on the global carbon cycle but is also strong enough to build large buildings. Therefore, there will be an increased demand for stronger wood in the future.

Novel OER catalysts and rapid screening methodology for reversal tolerant PEM fuel cell anodes

Hydrogen fuel cells are a promising alternative to meeting today’s transportation demands. Longer lasting and more robust fuel cells are essential for commercial applications. A common issue with the longevity of a fuel cell stack is the tolerance to repeated start-up shutdown cycles. During these cycles, the fuel cell can become starved of fuel due to blockages in the channels. Without fuel to react, the fuel cell will begin to break down the carbon supports causing catastrophic cell failure.

Evaluating offline functionality of progressive web applications in e-commerce business: A/B testing and causal models

The project is to understand the potential impact of enabling the offline functionalities on progressive web application utilized as e-commerce platforms. For instance, will enabling offline functionalities help increase revenue by providing a more engaging environment when the connection is poor? Traditional evaluation method is to run online controlled experiments by randomly assigning users into two groups: with and without the feature. However, to accurate assess the impact, one needs to identify appropriate key metrics to quantify the performance.

Connecting private investment to clean-tech innovation in buildings: A new framework for understanding Green Investment Banks

Meeting the Paris Climate Accord will require $53 trillion invested towards low-carbon infrastructures by 2035. To accelerate domestic investment in renewable energy and energy efficiency, dozens of Green Investment Banks have been developed in recent years seeking to leverage public spending with funds from institutional investors, such as pension funds, insurance companies, and private equity firms.

Advanced Analysis Setup of Next Generation XRT Algorithms

The research project will include a study using dual energy X-ray transmission (DE-XRT) technology to investigate how to improve the current DE-XRT analysis. To conduct the research, large amounts of samples will be taken from different types of deposits and operations. The research will evaluate various data mining methods to generate algorithms using the data from DE-XRT technology and hence improving the sorter efficiency. The findings from research can help benefit SDE by providing solutions to improve algorithm generation using DE-XRT technology and benefit the mining industry.