Pipelines are extremely important for the transportation of oil and gas. Buried pipelines can move in a relatively large distance under special scenarios, e.g. slope failure. Meanwhile, the surrounding soils are subjected to a large deformation. This project aims to develop a computer modeling technique to analyze the large-deformation behavior of soil and its impact on the pipeline. The result will be compared with a previous physical test so that the reliability of this new technique can be evaluated.
Skeletal muscle is a dynamic tissue that undergoes many regeneration processes during our lifetime. Loss of skeletal muscle is known as muscle atrophy or sarcopenia and is directly related with quality of life and life expectancy. There are very few diagnostic tools to identify muscle atrophy and the ones available are time-consuming and expensive. Therefore, the most used diagnostic measure for accessing muscle atrophy and recovery is physical examination for patients with a certain mobility status.
The goal in medicine is prolong life and prevent disease before it spreads and becomes irreversible. There must be a way to easily self-monitor or to allow medical professionals to continuously remotely monitor high risk patients. The main vital signs that ideally should be constantly evaluated are pulse rate, respiration rate, body temperature, oxygen saturation levels and blood pressure. Other secondary figures that should be watched over are glucose levels, cholesterol levels among others.
Petroleum contamination in soil and groundwater caused by the leakage of underground storage tank is one of the most frequently occurred incidents in North America. The cost of remediation can be significantly increased if the contamination was not treated in time or the site is far away from the waste management facility. a mobile soil-flushing and enhanced oxidation (MSFEOP) system is therefore developing for an accessible and affordable options for site remediation.
The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, AI techniques and decision-making methods are utilized to analyze data for monitoring, detecting, predicting and controlling driver drowsiness.
The project seeks to discover the optimum design and commercialization strategy for newly developed sandwich structures derived from recycled plastic for the civil engineering sector. The sandwich structures are highly sustainable and could potentially consume large amounts of the rapidly produced plastic waste. The final sandwich product would have the potential to be used in various applications such as roof panels and exterior/interior walls of buildings.
What is left after late-life SAGD production is a large amount of valuable energy in the form of heat contained in the reservoirs. Instead of leaving behind the stored energy in a hot reservoir after many years of SAGD operation, considering energy recovery from post-SAGD reservoirs leads to lower carbon emissions by saving energy already injected in the reservoir rather than leaving it to avoid burning more natural gas; saving money for SAGD operators and helping to make operations more sustainable.
Healthcare requires the early and accurate detection of disease indicators, be they small biomolecules or viruses, which is vital for successful treatments, preventative medicine and disease prevention. Improving turnaround times for early and accurate detection will improve patient care, enable the mass screening of large populations during outbreaks and effectively reduce the diagnostic burden. We have developed a small-scale filter detection device to provide high sensitivity, while being inexpensive and portable for diagnostics at the point of care.
As the third documented emergence of an animal-to-human coronavirus during the past two decades (Severe Acute Respiratory Syndrome in 2002, Middle East Respiratory Syndrome in 2012), the current pandemic and near-certainty of future epidemics demands intensified surveillance and proactive screening. Definitive therapy for novel Coronavirus Disease 2019 (COVID-19) is likely at least half a year away. Current standard-of-care diagnostic testing with real-time Reverse Transcription Polymerase Chain Reaction (rRT-PCR) is resource intensive, costly and inaccurate.