Innovative Projects Realized

Explore thousands of successful projects resulting from collaboration between organizations and post-secondary talent.

30508 Completed Projects

2882
AB
5105
BC
825
MB
681
NL
860
SK
9051
ON
9491
QC
97
PE
586
NB
1141
NS

Projects by Category

Student Intentions and Perceptions Survey

The proposed study will involve development and use of a survey tool to solicit responses from grade 6-9 youth across the province, and in-depth analysis of these data. The intern will help pilot the survey tool and make any necessary revisions to the tool prior to implementation. Upon launch of the tool, the intern will manage any user queries during the survey period. The student will conduct the initial quantitative analysis, and the detailed qualitative analysis, and will compose the final report with StFX academic supervisors and the principal investigator. The data from this study will provide valuable insights to the IORE (and the Marine People Partnership, which is the workforce development initiative undertaken at the IORE) into social perceptions of careers in trades & technology, engineering, and ocean sciences (jn Nova Scotia), and of factors that strongly influence the socialization and normalization of those perceptions. These data may signal optimal periods for targeting career counseling and awareness and exposure building program, and will help to inform MPP activities and initiatives relating to the development of intervention and awareness programs aimed

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Faculty Supervisor:

Katarin MacLeod

Student:

Partner:

Centre for Ocean Ventures (COVE)

Discipline:

Sociology

Sector:

Ocean Tech; Natural Resources; Education

University:

St. Francis Xavier University

Program:

Accelerate

Modeling and HIL Simulation of Modular Multilevel Converters

The proposed internships will be aimed at developing advanced computer (software) and hardware platforms for simulation of modern power-electronic converter systems used in emerging electric power transmission systems. In particular, modular multi-level converter (MMC) simulations will be targeted. These converters are considered the primary candidates for dc systems used to integrate renewable energy sources into the existing grid. These two internships will develop functional models that can be readily used for the analysis and design of systems involving modular multi-level converters. Additionally the two interns will gain knowledge and experience on the requirements of converter systems in the context of the power grid by interacting directly with industry experts.

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Faculty Supervisor:

Shaahin Filizadeh

Student:

Partner:

Manitoba Hydro

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Accelerate

Nitrogen budget of selected organic and inorganic fertilizer treatments in rice crop production

A nitrogen budget evaluates the balance between the amount of nitrogen entering a field (inputs) and the amount of nitrogen exiting a field (outputs). When analyzing a nitrogen budget, the amount of nitrogen being lost to the surrounding environment can be estimated, as well as
the use efficiency of selected fertilizer treatments. The proposed study will be calculating the nitrogen budget for selected organic and inorganic fertilizer treatments in a rice crop production. The fertilizers treatments being evaluated are: inorganic chemical fertilizer, vermicomposting
and crop residues. The results will determine which fertilizer treatment is most efficient at being used by the rice crop, and which treatment is least harmful to the environment (less nitrogen losses). Expected outcomes are that the organic fertilizer (vermicomposting) will have the
smallest negative environmental impact with fewer nitrogen losses, and that the rice plant will be more efficient at absorbingthis fertilizer treatment.

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Faculty Supervisor:

Joanne Whalen

Student:

Partner:

Indian Institute of Technology Kharagpur

Discipline:

Life Sciences

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Growing Canadian Cleantech: Improving Seaforth Energy’s access to the Indian small scale wind turbine market

Seaforth Energy is seeking to expand its small wind turbine business to the rapidly growing Indian market where ‘off-grid’ sustainable energy solutions are needed. In order to assess the feasibility of such an endeavor, this research project will examine the current Indian renewable energy policy and investment climate. However, Seaforth’s success in penetrating this market will ultimately depend on its ability to partner with Indian wind companies that can help distribute it’s products in that jurisdiction. Therefore, this study also seeks to identify the best mechanism for doing so. This project presents opportunities for both technology and idea transfers, which can help Canadian cleanech continue to grow and address energy security and climate change concerns.

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Faculty Supervisor:

Michelle Adams

Student:

Partner:

Discipline:

Earth science

Sector:

Utilities

University:

Dalhousie University

Program:

Accelerate

Aerobic Granulation for the Treatment of Domestic Wastewater

Increasing pressure on India’s limited water resources due to population growth demands innovative and cost-effective methods of water management. One avenue of significant research is the treatment and recycling of municipal wastewater, where only about 31% of the domestic wastewater generated is treated using conventional methods. Aerobic granulation (AG) is a novel biotechnological wastewater treatment process that is increasingly drawing the interest of researchers worldwide. Aerobic granules are aggregates of microorganisms that form through microbe-to-microbe self-immobilization without reliance on biocarriers. The granules are packed with different microbial species and typically contain millions of organisms per gram of biomass. These microbes have the necessary physiological capabilities to degrade the pollutants in municipal and industrial wastewaters. The advantages of AG are its small space requirements, higher tolerance of toxicity and shock loads, and improvement in settling properties of biomass. The proposed project aims to develop and culture aerobic granules for the effective treatment of synthetic domestic wastewater in batch and continuous processes.

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Faculty Supervisor:

Andrew Tay

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

University of Calgary

Program:

Globalink Research Award

Temperature effects on geomaterials performance

The effects of temperature on the mechanical properties of geomaterials (e.g. soils, rocks) are important for the safety and life cycle of any infrastructures. The research activities in the field suggest that there is a lack of understanding due to limited experimental data. The seasonal climate change causes the variations in temperatures which may pose construction challenges. Extensive and systematic experimental studies will be conducted by the intern to address the stated temperature related problems. In this research, local geomaterials will be collected from various construction sites of Mumbai City. Thermal conductivity and strength properties of the materials will be determined under a range of temperatures. This data will be used to develop a regression model in future collaborations between these two research groups.

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Faculty Supervisor:

Sumi Siddiqua

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

University of British Columbia - Okanagan

Program:

Globalink Research Award

Controller Development and Validation for Extreme Maneuvering of Agile Fixed-Wing UAVs

Historically, unmanned aerial vehicles (UAVs) – also referred to as remotely piloted aircraft or drones – have most commonly been associated with military applications. In recent years, however, there has been a shift in interest towards civilian applications and a corresponding increase in research and development in this area. UAVs typically fall into two categories: fixedwing and rotorcraft. Fixed-wing aircraft – such as airplanes – generate lift by moving forward and creating airflow over their wings. Rotorcraft – such as helicopters – achieve their lift from rotating blades. Rotorcraft are usually used for tasks requiring superior handling and agility, however, they lack the endurance of fixed-wing aircraft. The proposed research aims to help bridge the gap between these two categories of UAVs by increasing the agility of fixed-wing aircraft, and thus broadening their suitability for missions requiring endurance and maneuverability. This will be accomplished by designing and testing onboard computer systems to automate extreme maneuvers with fixed-wing UAVs.

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Faculty Supervisor:

Meyer Nahon

Student:

Partner:

Indian Institute of Technology Bombay

Discipline:

Engineering

Sector:

Education

University:

McGill University

Program:

Globalink Research Award

Investigations in real-time spinal magnetometry using magnetoencephalography (MEG) for therapeutic biofeedback

Oscillatory neuronal activity can be quantified to help diagnose states of health and disease in the brain. These activities change on a fast time scale of milliseconds, which can only be captured by direct measurement of the brain’s electromagnetic activity. This is accomplished utilizing MEG and EEG technology, which can measure non-invasively these fast changes on the scalp surface. Moreover, using MEG, these signals can be observed within the brain volume through a localization process. The transition of MEG/EEG as a predominantly research tool to a modality used in a clinical setting has not been fully realized. In order for MEG/EEG to transition commercially to larger scale production, it is necessary to expand its relevance in a clinical setting. The proposed research will enable advancement into the clinical setting on two fronts: through development of real-time capabilities and by extending applications to the spine from predominantly brain based applications.

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Faculty Supervisor:

Teresa Cheung

Student:

Partner:

CTF MEG International Services Limited Partnership

Discipline:

Engineering

Sector:

Manufacturing

University:

Simon Fraser University

Program:

Accelerate

Deep Learning Analysis for Missing Tooth Detection in Mining Monitoring Systems

This project is aimed at using machine learning algorithms and techniques to enhance the current state of the art of missing tooth detection in mining monitoring systems. Unlike heuristic approaches that follow strictly static program instructions, machine learning techniques operate by building a model from example inputs in order to make data-driven predictions or decisions. We use machine learning techniques to identify the bucket and its teeth within the video frames taken by a camera located on the mining device. We keep track of the detected objects within the images to monitor the status of the teeth over time and detect a potentially missing tooth. We train our object recognition model based on a comprehensive database of over 200 hours of video footage, and evaluate our algorithm in the end by means of image benchmarks including various teeth locations/ scales and various weather conditions.

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Faculty Supervisor:

Guy Dumont

Student:

Partner:

Motion Metrics

Discipline:

Engineering

Sector:

Mining; Technology; Advanced Manufacturing

University:

The University of British Columbia

Program:

Accelerate

Giving Voice to Aboriginal Families

Experiences in early childhood are fundamental determinants of lifelong well-being. In this project, we will give voice to Aboriginal families and caregivers on what they believe is important to the well being of their young children. A methodology adopted from social psychology, called ‘echo’ enables the values and beliefs of the population of interest to be articulated. The population of interest is individuals working with or raising young Aboriginal children (ages 0-6 years) in the Greater Victoria Capital Region. The outcome is a unique and important perspective to inform early childhood services and practice. The intern will be involved in all aspects of this community-based research project. This research supports and informs the programs and services for Aboriginal children and families provided by the partner organization.

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Faculty Supervisor:

Beverly Smith

Student:

Partner:

Hulitan Family & Community Services Society;Success By 6;University of Victoria

Discipline:

Sociology

Sector:

Other services (except public administration)

University:

University of Victoria

Program:

Accelerate

Aurora Lighting

The proposed project contributes to the development of a product for use in public spaces to provide LED lighting which is made interactive through sound responsiveness. This sound responsiveness is made possible through the use of modern micro-computers which can be programmed to use sounds in the environment to create different lighting effects. Unfortunately, this is a difficult task if the environments
are noisy. It’s a lot like trying to have a conversation during a loud party; a lot of information gets lost. This project is motivated by the desire to make the sound responsiveness more effective in noisy environment through the use of automatic sound analysis techniques. There are many techniques which have been created to help account for noise but none have been used for this specific reason. These different techniques will be investigated to see which can help sound responsive lighting in a noisy space. The partner organization is relatively young and this product will be their first to market. Through the funds made available through MITACS the partner organization will have more resources to ensure the success of this product. Furthermore, the technologies developed with this research will be integrated in future products.

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Faculty Supervisor:

George Tzanetakis

Student:

Partner:

Limbic Media Corporation

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Victoria

Program:

Accelerate

An Advanced Machine Vision-Based System for the Recognition and Counting of Indian Coins

Counting coins, with speed and accuracy, has been a challenging issue for banks and stores. People used to count coins manually before the arrival of coin counting machines. The process of counting coins manually is a very time consuming and tedious job. Moreover, mistakes are
likely to occur due to various reasons such as fatigue, eye tiredness and too many coins of nearly same shape and size cause confusion in sorting and counting. Coin sorters are common in North America and can be found in most commercial banks and even some grocery stores.
By contrast, they are not available in India, where the number and similarity of the coins make for a very challenging problem. The objective of this project is to determine whether advanced machine vision techniques are able to sort coins from India with acceptable speed and accuracy.
If the answer is yes, then the outcome will be used to develop a machine that can recognize and count Indian coins, with Indian banks as the initial market.

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Faculty Supervisor:

Brian Surgenor

Student:

Partner:

9293507 Canada Inc

Discipline:

Engineering

Sector:

Manufacturing

University:

Queen's University

Program:

Accelerate

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