Boiler wall tubes are important components in boilers for safe and efficient operation. After service exposure, boiler wall tubes often require replacement or repair, in which new sections of boiler tubes are welded onto the old boiler walls. Following the repair welding, the code requires the boiler be hydrostatic tested before putting the boiler back […]

While studies show that dietary fibres are beneficial in many diseases, they are not digested or absorbed directly by the host, but rather fermented by gut microbes. Fermentation byproducts (mostly short-chain fatty-acids; SCFAs) are responsible for health benefits. Only select inflammatory bowel diseases (IBD) patients benefit from fibres; many patients report sensitivity to high fibre […]

While studies show that dietary fibres are beneficial in many diseases, they are not digested or absorbed directly by the host, but rather fermented by gut microbes. Fermentation byproducts (mostly short-chain fatty-acids; SCFAs) are responsible for health benefits. Only select inflammatory bowel diseases (IBD) patients benefit from fibres; many patients report sensitivity to high fibre […]

We apply Artificial Intelligence (AI) on Sentiment Analysis for the Assessment of Financial Fitness (SAFF), which can help an individual to understand one’s latent feeling and reservation towards money saving, spending and planning. The SAFF framework can be applied to not only financial institutions, but also other sectors, e.g. healthcare, rehabilitation and education. Sentiment analysis […]

Surface cover of soils with plant residue such as straw is known to be an efficient method to reduce soil erosion and nutrient loss from soils. However, from my previous research, it was revealed that surface cover reduced soil erosion and loss of nitrogen and phosphorous but increased loss of dissolved organic carbon (DOC) due […]

Mycophenolic acid (MPA) and tacrolimus (TAC) are approved for use in post-transplant immunosuppressants to prevent graft rejection after solid organ transplantation. MPA and TAC are frequently used in combination as an immunosuppressive regimen in pediatric kidney transplant recipients. However, these two drugs have narrow therapeutic ranges and large interindividual pharmacokinetic and pharmacodynamic variabilities. What’s more, […]

Geographic location of a pipeline is important information for pipeline maintenance and fault detection. Usually, the geographic location of a pipeline on the ground can be measured directly with global positioning system (GPS) technology, but it is much difficult to determine the geographic position of an inaccessible underground pipeline in a city. In this research, […]

The fundamental challenge when reclaiming oil sands areas is to ensure not only survival, but vigorous growth of the plant material. Finding plants suitable for high salt conditions has offered the opportunity for Alberta-Pacific Forest Industries Inc. to investigate the potential role of using native balsam poplar (Populus balsamifera) as a key reclamation species for […]

Canada is one of the largest canola producing countries. The industry contributes about $20 billion revenue to the Canadian economy. Currently, canola farmers rely on the weather forecast (temperature, moisture, etc.) to decide whether to apply a fungicide. As the Internet-of-Things and sensor technologies get more advanced, farmers are deserved to have better technologies for […]

Recent pipeline projects in Canada and the US have attracted lots of attention due to their importance for our future economy and environment. In the proposed project University of Alberta and Shawcor propose to work together towards developing E-smart pipelines and creating defect free system. We will utilize the vast amount of emerging and cutting-edge […]

This project will develop practical workflows, algorithms and programming codes for inferring unknown reservoir properties from distributed temperature and acoustic sensing data. In-situ pressure and flow conditions can be interpreted from downhole fiber signals gathered in real time, which are used to estimate unknown heterogeneous reservoir parameters continuously. Machine learning methods will be incorporated to […]

Artificial Intelligence (AI) research has grown rapidly in recent years as the result of faster computers and better algorithms. AI models can be trained to automate the decision process and provide results. However, if the model is not properly or sufficiently trained, the outcome will likely be unpredictable and inaccurate. Besides, training data is not […]