Risk evaluation is a crucial aspect of Unmanned Traffic Management (UTM) systems. Risk is calculated for missions involving unmanned systems and includes numerous factors from both ground and air risks. Currently, the risk evaluation and calculation for a mission is done by hand and based on estimations. Furthermore, the final calculated risk for a mission is difficult to conceptualize due to the high complexity of the UTM system and the method of risk calculation.
Tourism, nature-based recreation and residential development within the Bow Valley (BV) of Alberta’s Rocky Mountains are all valued and continually increasing. The BV is also important for large mammals as it provides habitat for iconic species like grizzly bears to live in and move through. The Yellowstone to Yukon Conservation Initiative (Y2Y) is dedicated to balancing the needs of people and wildlife, and collaborated with stakeholders to recommend how to improve human-wildlife coexistence in the BV.
360-degree video streaming is one key element of many Augmented Reality and Virtual Reality (AR/VR) applications. The computing and networking demands pose great challenges for mobile devices and mobile networks, especially if a mobile device is the video source. The deployment of mobile edge computing offloads computing and networking demands on mobile devices and alleviates bandwidth demand in mobile networks.
The vestibular organs detect head movement and are involved in the coordination of standing balance. With balance problems being a common and expensive healthcare cost internationally, there is a growing need for new diagnostic and therapeutic medical devices that target vestibular balance function. In particular, a wearable device that could be used outside the clinic could provide a convenient, low-cost alternative.
This research project will explore and devise a digital simulation platform for architects with which custom-designed buildings can be manufactured by robotics from composite wood paneling systems. In a practice-based approach, the intern will develop a simulation tool for a unique manufacturing setting by linking and modifying computer software. The digital platform supports architects in decision-making through a visual representation of the production process and by providing useful information regarding manufacturing lines, i.e., time, cost, equipment, and materials used.
Prediction of fluid dynamic phenomena is an area of research all on its own. A complete solution to the non-linear Navier-Stokes equations that governed fluid flow has yet to be found using modern mathematics. It is for this reason in order to characterize and test new aerodynamic sensors a test facility must exists where various parameters can be control in order to understand their effect.
This project aims to increase the scientific knowledge base on recovery and rehabilitation after knee injury. Noninjured winter slope sport athletes will undergo a battery of baseline testing including quadriceps and hamstrings maximum strength and rapid force producing abilities, lower body power endurance, workload capacity and fatigue tolerance at the start and end of the off-snow training periods.
In this study, an integrated model will be developed to forecast oil and gas productions in the next 20 years for Canadian basins. Using the output of the model, supply costs estimation, economic impact analysis and GHG emissions calculation will be conducted over the forecast period from 2020 to 2040. The developed integrated model will provide industrial partners and policymakers with a better strategy to make good investment decisions. This project is defined as part of CERI’s 2019-2020 research plan.
The aim of the proposed project is to develop a machine learning classification that predicts energy from turbulent flow atmospheric systems. Being able to predict turbulent flows is of great importance since the atmosphere features strongly in the invisible infrastructure of aviation from established navigation waypoints to conduit airways – the highways in the sky. A primary consequence of the onset of turbulence in the atmosphere is the dramatic unpredictability and the challenge in forecasting the phenomenon.
This project will involve the development and validation of simulation models suitable for studying, designing and implementing a small-sized power system with reduced fuel expenditure and carbon (iv) oxide emissions, for oil and gas extraction activities. The successful implementation of the project will further Audacious Energy Corp.’s knowledge to launch and test a Minimum Viable Product.