This project seeks to understand how a next-generation nuclear reactor, a molten salt reactor, behaves under various conditions. Particular attention is paid to aspects of the reactorâs performance that could have an impact on its safe operation. This research focuses on how the various properties of the reactor evolve in time after a change to the reactorâs operating configuration is made. The analysis is done using state-of-the-art computer codes and a multi-physics approach that model both the nuclear and thermal behaviour of the reactor.
Information published by financial news agencies is used as one of the inputs to make investment decisions. News articles from multiple sources can be used to gauge market sentiment towards an industry or a specific company. Deep learning techniques have been successful in producing state of the art results on various benchmark datasets (Dai & Le, 2015; Miyato et al., 2016). Most of the popular algorithms extract features from words, sentences or paragraphs and represent them as fixed-length vectors (Mikolov et al., 2013; Le & Mikolov, 2014).
Heritage information plays an essential role in the adequate planning and monitoring of conservation strategies. Digital tools have revolutionized the speed and the accuracy in recording heritage places. This pilot project addresses how to integrate information gathered through digital technology into coherent graphic record (floor plans, section, and elevations) and how to understand the relationship between recording and good conservation decision-making. It will test how to integrate strategies for emerging digital technologies in the rehabilitation of architectural heritage.
Canadian Vinyls Inc., based in Kelowna BC since 1994, has grown to become Canada's largest distributor for vinyl skirting. CV represents an example of robust, local small-to-medium enterprises (SMEs) in the region, poised for expansion. The company through MITCAS support and interaction with the university team desires to bring on R&D capability to take advantage of perceived opportunities in creating an improved product and bringing more manufacturing opportunities locally.
Western Canada has vast heavy oil deposits in many thin heavy oil reservoirs with less than 10-m main pay zones. The cold heavy oil production with sand (CHOPS) is the primary production process for the heavy oil reservoirs. However, a typical CHOPS process can recover only 5?15% of the initial oil-in-place and waterflooding has had a limited success.
This research project will focus primarily on the analysis of information systems technology adoption in order to improve the design of information systems and the process used for their implementation. More preciously, the main objective will be to investigate the adoption of information systems designed for human resource management in order to identify improvement opportunities for the partner’s software solution and implementation process.
In this project, the intern will design a decision support framework for optimizing tube utilization in laboratory tests. Given a prescription, the framework automates the tube selection process and outputs low cost tube configurations. The framework is designed to be easily adapted to different lab configurations. It consists of three processes, namely data profile configuration, tube optimization and solution prioritization. Data profile configuration process will formulate code and machine configuration files as the inputs to the tube optimization process.
The proposed research will be focused on eliminating fugitive emissions from liquefied natural gas (LNG) transmission, storage, and distribution operations. LNG can be used as fuel for transportation, and for combined heat and power generation in remote locations. We will study transmission, storage, and distribution operations by developing quasi-steady-state and time-dependent thermodynamic models. These models will be validated using data from instrumented equipment at our industrial partnersâ sites (a small consortium has been created specifically to support the proposed research).
I-joists are composite timber beams mainly used in roof and flooring systems. They consist of oriented strand board (OSB) webs and timber flanges. For post-construction purposes, these beams are often drilled in the web or notched through the flange in order to pass the electrical/mechanical facilities through the openings. This can result in a significantly lower load-carrying capacity for these important elements. This study investigates the performance of I-joists with web holes and flange notches through experimental and numerical approaches.
This MITACS proposal focuses on the chemical processes occurring that may enhance or inhibit microbial growth, identify and detect key microbial chemical precursors to MIC, and development of models to predict/mitigate MIC. It is part of a much larger Genome Canada project where the information and models developed in the proposal will be used in a genomic analyses and this information will in turn be used by this group to optimize models and detection systems.