Evaluation of the Effectiveness of Emotional Intelligence Training in Mobile Applications

This project aims to use literature evidences and data analysis techniques to develop new mobile games that train people’s “emotional intelligence”. The company will build the product prototypes based on current literature evidences and theoretical models. Then the data generated from the games will be evaluated to inform product performance, efficacy, and future developments. This […]

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Improving Food Recognition and Data Analytics in GlucoGuide

Diabetes is a chronic disease with many complications including heart attack, stroke, amputations and blindness. Self-management of blood glucose and improving lifestyle are very important to prevent complications, but it is a very difficult task. We have been researching and developing GlucoGuide – an app that data-mines inputted diet and exercise data to give individual […]

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Hydrate process for CO2 capture from fuel gas

Increased emission of carbon dioxide (CO2) from the combustion of fossil fuels has created the global challenge of climate change. Reduction and/or elimination of CO2 emission is a mitigation strategy in the absence of a global non-carbon energy system. The capture of carbon prior to combustion and its subsequent safe storage or utilization is an […]

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IMMERSe Gamification and Organizational Development

Gamification is the use of game-like mechanisms in non-game settings to motivate people and achieve goals. IMMERSe and ODScore are collaborating to investigate how gamification can be used to help people manage tasks and attain goals in workplace settings. Individuals in teams and organizations around the world are trying to adopt Lean and Agile goal […]

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Effet des cellules dynamiques sur la performance des entreprises réseaux et les facteurs de succès d’implantation

L’objectif du projet est d’implanter efficacement un aménagement d’usine préalablement conçu lors d’un travail effectué en partenariat avec l’entreprise, l’UQTR et le CNRC. L’implantation faite dans le dernier stage a permis de récolter des informations particulièrement pertinentes pour la suite des choses. Cette implantation d’un aménagement d’usine en cellules dynamiques et ligne d’assemblage mixte a […]

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Identifying and understanding the impact of competing goals on self-care compliance among patients with Chronic Heart Failure

Failure to follow self-care recommendations for chronic heart failure (CHF) not only threatens patients’ lives and well-being, but is costly to the health care system. Most approaches to increasing patient compliance are based on the assumption that individuals will adhere when armed with information about “what” (to do) and “why” (they should do it). We […]

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Characterizing fucoidan-degrading enzymes from marine bacterium

Fucoidan is a polysaccharide found in brown algae (seaweed). ARC Medical Devices Inc. markets fucoidan purified from brown algae for post-surgical veterinary use to reduce interorgan adhesion development. This product works very effectively, prompting a desire to develop a similar product for use in humans. The challenge to this, however, is that fucoidan is an […]

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Examination of key nutrition, health, environmental, and welfare issues in swine to improve sustainability and societal acceptance of pork production

In order to remain competitive, pig producers must continually evolve to address current and emerging challenges to the Canadian swine industry. The Prairie Swine Centre has developed a multidisciplinary research program aimed at addressing key issues within the swine industry related to environment, society, safety, and sustainability. The main research projects included in this proposed […]

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Numerical Investigation of Long-Term Settlement of Waba Dam

Waba Dam is a zoned earth fill structure that was constructed on a deep soft, sensitive marine clay layer. This marine clay layer is characterized by its low shear strength and a large void ratio. During the last 32 years, the dam and its foundation has settled over 1.5 m (5 ft). Piezometric readings indicated […]

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Application of Machine Learning Methods in Vancouver Island Supply Capability Determination

This project is a feasibility study of applying Machine Learning to Vancouver Island Load Supply Capability determination. The intern is expected to apply neural networks and other machine learning methods to train a transmission operation decision making model to determine the load supply capability of Vancouver Island. An operation scenario database covering equipment status and […]

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High Impedance Fault Detection System

A High Impedance fault (HIF) occurs when an energized primary conductor comes in contact with a semi-insulated object such as tree, structure or equipment, or falls to the ground. HIFs on distribution systems are extremely difficult to detect because they do not generate enough fault current to be detectable by conventional overcurrent relays or fuses. […]

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