Projets novateurs réalisés

“Research on cultural exchanges between China and Japan from the perspective of Japanese monk going to the Song Dynasty for consultation about Tenda’s thoughts——Taking the answer of Siming Zhili as an example”

This paper studies the answer to the Japanese scholarship in the Song Dynasty ancestor of the 17th ancestor of the Song Dynasty. The answers reflect the academic rationale of the Tenda in the early Song Dynasty, and I will analyze whether his answer is only from an academic standpoint. His answers include his own theoretical creation or just the Buddhist doctrine before the Song Dynasty, whether it shows the new ideas after the debate between Shan-jia and Shan-wai. In response to questions raised by Japanese Buddhism, the Tenda ancestor will give what answers. If compared with Zhizhe’s answers, whether Zhili has his own creation. TO BE CONT’D

Classification automatisée des déchets de forages par apprentissage supervisé

La prédiction des propriétés géologiques et géotechniques en temps réel lors de forages est un enjeu crucial dans de nombreux domaines des sciences de la Terre. En effet, pour l’ingénieur pétrolier et minier, l’enjeu est de connaître les propriétés économiques en tête de forages afin d’optimiser le rendement de la récupération des ressources. En génie civil, il consiste à prédire les propriétés mécaniques et chimiques des roches en cours de forage afin de minimiser les risques d’effondrements, mais, aussi, de minimiser le risque de rencontrer des zones d’émanation possibles ou de danger chimique. Il est donc nécessaire de modéliser de manière précise la géologie ainsi que les propriétés géochimiques associées et leur incertitude. TO BE CONT’D

Role of Autophagy in Neurogenesis during Stroke Recovery

In the late 1990s, scientists made the remarkable discovery of neurogenesis in the adult human

brain, defined as the process of new neurons being formed from neural stem cells. This was a

remarkable discovery since it raised hope that we can replace neurons that have died following a

stroke. Thus many researchers are trying to reduce the damage following a strokeby determining how

we canincrease the growth and survival of neural stem cells. The proposed researchwill for the first

time determine whether a process called autophagy plays an important role in the survival of neural

stem cells during stroke recovery. Autophagy is a process that many types of cells use to recycle

materials and we believe that in stem cells autophagy is required for survival in the mature adult brain.

Thus this work will allow us to understand what regulates the survival of stem cells in the brain post

stroke, with the ultimate hope of developing novel treatments for…………….TOBECONTINUED

Characterization of KPI Outliers from Logs Using Data Mining

Ubisoft records the interaction between its customers and its servers in large execution logs (also called traces). Any failure of the system is thus recorded therein. However, the considerable size of these logs considerably hinders their effective use by analysts and developers. We propose an automated method to detect failing executions, and furthermore to characterize the features that are common to clusters of failing instances. The approach will be based an machine learning algorithms, and will produce clusters of failing traces with common features. Since isolating of the features common to a runtime failure is an important part of the overall effort of fixing the issue, the research being proposed here will allow developers to extract actionable information from the traces.

Air Pollution, Indoor Temperature, and Health Impacts of the Beijing Coal Ban and Heating Stove Replacement

Over 400 million homes in China burn coal to meet indoor heating requirements, exposing individuals to air pollution in their homes and contributing to poor ambient air quality. Exposure to air pollution is associated with excess morbidity and mortality, but few studies have assessed the impact of interventions that reduce air pollution. Recently, the Beijing Government announced a ban on coal use, offering a subsidy to transition to a cleaner heating technology. The stepped implementation of this policy program provides a unique opportunity for evaluation. Our research will assess the program’s impact on:

(1) Community and personal air pollution exposures
(2) Indoor temperatures in homes
(3) Respiratory symptoms and cardiovascular outcomes

Evaluation of this air pollution intervention is important to inform the planned expansion of this policy in China and similar policies abroad.

Comprehensive 3D non isothermal study of reactive flow in the catalytic plate reactor (CPR) for CO2 methanation process

Wind and solar energy are the fastest growing sources of electricity in Canada. However, its electricity supply is not aligned with the energy demand. In this context, energy storage becomes more and more important to bridge temporal and geographical gaps. The Power-to-Gas process (P2G) is a promising technology in which excess electricity is converted to hydrogen (H2) via water electrolysis and subsequently converted with captured/sequestered carbon dioxide (CO2) to methane (CH4). The main challenges in the P2G process are related to the later step – the catalytic methanation of H2 and CO2 to CH4. Optimum design of methanation stage requires a robust kinetic model for the reaction kinetics. The high quality experimental data for this kinetic model will be generated using the catalytic plate reactor (CPR). TO BE CONT’D

Design and Prototype Validation of a Bioabsorbable Flow Diverting Stent

An aneurysm is a balloon off a blood vessel in the brain, that could potentially bleed resulting in devastating consequences for the patient. Brain aneurysms a common, and are present in up to 7% of the general population. Traditional treatment of complex brain aneurysms involves placing a metal “flow-diverting” stent across the neck of the aneurysm, leading to redirection of blood flow away from the aneurysm dome. Bioabsorbable flow-diverting stents have only recently been developed by Fluid Biotech Inc. as a novel way to treat brain aneurysms. These stents are made from polymeric materials that are designed to dissolve after the stent is placed and the aneurysm heals. Little is known, however, about their absorption pattern and whether these stents would be prone to breaking apart as they dissolve, which could potentially lead to strokes and other complications. TO BE CONT’D

ATCO Home of the Future and DSO Orchestration

The intern will be part of the ATCO Electricity Innovation Team and will support in delivering novel next generation prototypes that will define the future of the electricity grid in Alberta, broader Canada and globally. Some of the current projects in the portfolio includes smart EV charging, artificial intelligence based microgrids, home of the future and power systems technologies for making the electricity grid autonomous and smart. The student will be part of a horizontal team structure and will report directly to the Innovation Director.

Analysis of the effects of a high-anxiety state on running mechanics and identifying relevant psychological predictors related to levels of emotions and mechanics

Achieving optimal sport performance is complex and multidimensional. Athletes need to have high levels of physical and psychological skill. It is already commonly understood that an athlete’s emotional state can affect performance. With this project, we would like to take this one step further and investigate how an athlete’s emotions affect movement patterns, more specifically by assessing how anxiety impacts running mechanics. To achieve this objective, we will induce an anxiety state during a treadmill run and evaluate runners’ movement mechanics via a markerless motion capture system called Kinetisense. This system has the advantage of being simple to transport and use and it is currently used in clinical environments to evaluate patients’ performance and give patients real-time feedback on their movement. TO BE CONT’D

Modelling the impact of water pressure on water main breaks using a spatially explicit Bayesian model

Providing safe drinking water to the population is one of the main roles of municipalities. However, due to aging urban infrastructure, the number of pipe break is an increasingly around the world which is costly at the economic, social and environmental levels. Municipalities need to have tools that allow predicting these breaks so they can develop a preventive strategy to repair or replace vulnerable pipes before they break. This project proposes to use modern statistical tools to create a model that will use water pressure and pipes characteristics to predict pipe breaks. To support the model development, five Canadian cities will provide extensive pipe break datasets to train and test the model. This model will be integrated in InteliPipes, a break prediction tool developed by CANN Forecast. TO BE CONT’D

Implementation of computational intelligence algorithms for the automation of business workflow at BuildMapper

KPU and BuildMapper pursued a collaborative data science project to automate and enhance BuildMapper’s core business intelligence algorithms. One algorithm will consist of a customized web crawler for the discovery and acquisition of semi-structured and unstructured construction phase information sourced from municipality websites. The other work includes the design of a SQL database for the storage of municipality download links pointing to construction phase data at the top 100 municipalities in Canada. This work will enable BuildMapper to shift from a labour intensive workflow to a highly automatized and scalable system, which will enhance and exponentially increase the velocity of data acquisition. This will enable BuildMapper to enter markets currently not feasible with the current labour intensive model.

The role of phenotypic plasticity in the adaptive heat response of an exploited coral reef fish

Climate change is causing rapid environmental shifts, resulting in high levels of multiple stressors impacting diverse species. To avoid extinction, species need to adapt quickly to those stressors. As coral reef ecosystems are disproportionately affected by climate change, the species within them are vulnerable to environmental changes. One mechanism by which species can adapt rapidly is acclimation through phenotypic plasticity. Due to its importance in recreational and commercial fishing, as well as its ecological importance as a top predator, the common coral trout (Plectropomus leopardus), is an ideal species to assess the ability of coral reef fish to acclimate to heat stress through changes in gene expression. This study will identify key genes involved in the adaptive thermal response of this species. This research will be valuable in developing and implementing management plans for species that are ecologically and economically valuable, such as P. leopardus.