An investigation of the effectiveness of competency-based management implementation

Competency-based management (CBM) is an approach to human resource management (HRM) that has grown in popularity over the years. CBM involves objectively defining the necessary competencies (defined as job-related knowledge, skills, abilities, and other attributes) to effectively perform a job, then integrating this framework into the organization’s HRM processes. While this approach makes sense in […]

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Characterizing lytic bacteriophages against pathogenic E. coli: receptor specificity, efficacy in vivo, and genomic analysis

Many facets of human life are affected by bacterial pathogens. Bacteria can cause both animal and plant diseases. Extensive use of antibiotics to contend with pathogenic bacteria has resulted in an increase of multi-resistance to antimicrobials. Even when antibiotics are used vigilantly, their application in poultry or other fields of animal production can lead to […]

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Characterizing wetlands of different restoration ages in central Alberta using drone-based information (an extension to current Mitacs project: IT10213)

Wetlands provide important ecosystem services to human communities, such as groundwater recharge, storing floodwater, and supplying fishery resources. In Alberta, wetlands cover ~21% of the province, forming one of the Canada’s largest wetlands reserves; however, many of these wetlands have been impacted or lost through human activities. Over the past 30 years, there have been […]

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A digital technology platform for supply chain: Development of scenario planning and forecasting models and tool for the engine build program to assess the impact of variations in sales forecast on inventory planning

Industry 4.0 is the digitization of a company’s physical assets and the company’s integration into digital ecosystems with its value chain partners, from suppliers to customers. It uses smart technology and the use of real-time data to increase flexibility, customization, efficiency and productivity, and to reduce time, costs and innovation cycles. This project will focus […]

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eChaperone Computer Vision Application in Healthcare Analytics

Providing high quality healthcare service is important in a society not only for the patients but also for their families and friends, who devote time to take care of their loved ones. In order to meet the healthcare demands of citizens, especially for the baby booming generation, an increasing number of long term care facilities […]

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Experimental testing of employing large grains as a bank erosion mitigation technique

Traditional engineering approaches to stabilizing stream’s (e.g. dams and cemented banks), typically alter a stream’s natural function and are expensive to maintain. Using large grains naturally found in a stream, could provide a way to stabilize the channel’s banks while still allowing natural system movement. To test if treatments of large grains could be used […]

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Supporting Light Steering Technology within the Future Cinema Ecosystem

With rapidly improving display technologies used in the home, cinema needs to remain competitive in terms of achieving the highest image quality on screen. While increasing the quantity of pixels is currently rolled out, so far nothing has been proposed to improve the quality of those pixels. Emerging prototype cinema displays are currently being show-cased […]

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Acoustic and Speaker Modeling Using Deep Learning

There is a rapidly growing need for voice powered human-machine interaction modalities for varieties of devices. Despite enormous investment in research and development in this area by a number of companies, significant limitations remain which prevent the ubiquitous proliferation of speech recognition. These limitations include poor performance in the presence of noise, inability to handle […]

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Modélisation et caractérisation des capteurs Lidar embarqués dans les véhicules intelligents et leurs applications en détection/reconnaissance d’obstacle par fusion multi-capteurs Lidar-Vision

Le développement des systèmes de sécurité embarqués dans les véhicules a connu un progrès significatif ces dernières années avec l’apparition, notamment, de systèmes intelligents d’aide à la conduite (ADAS) et de la conduite automatisée. Parmi les capteurs utilisés, la combinaison des capteurs lidars et des caméras permet de mesurer et de reconstruire virtuellement l’environnement du […]

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A set membership filtering approach to low-complexity state estimation from PMU measurements

The widespread use of phasor measurement units (PMUs) in power-grids can greatly enhance state-estimation (SE) by making use of accurate, GPS time-stamped synchronous phasor measurements. Unlike conventional SCADA measurements which are reported every 4 seconds, synchro-phasor measurements are typically available as frequently as 30-60 measurements per second. While the availability of more measurements can provide […]

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