Innovative Projects Realized

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

13270 Completed Projects

1072
AB
2795
BC
430
MB
106
NF
348
SK
4184
ON
2671
QC
43
PE
209
NB
474
NS

Projects by Category

10%
Computer science
9%
Engineering
1%
Engineering - biomedical
4%
Engineering - chemical / biological

Geochemical and Isotopic Examination of Mineralization of the South Mine Complex, Abitibi Sub-province

The Macassa Mine has historically been a major producer of gold in Kirkland Lake, Ontario. Recently, Kirkland Lake Gold Inc. discovered a new South Mine Complex (SMC) which is one of the highest grade gold deposits in Canada. Mineralization in the SMC appears more sulphide rich than in the Main Break of the Macassa Mine, and this project proposes geochemical and isotopic studies on the rocks of the SMC. This will provide a better understanding of the fluids associated with mineralization, and results will be compared with published values for the Main Break to try to determine possible source heterogeneity. This information will be important for advancing the partner company's knowledge of the modeling of this deposit, and can help with developing future economically effective methods for gold exploration.

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Faculty Supervisor:

Dr. Neil Banerjee

Student:

Saralyn Horvath

Partner:

Kirkland Lake Gold Inc.

Discipline:

Geography / Geology / Earth science

Sector:

Mining and quarrying

University:

Western University

Program:

Accelerate

Characterization of the Fuel Injection Spray Within the Ignition Quality Tester (IQTTM)

Advanced Engine Technology Ltd. (AET) has developed a novel diesel fuel Ignition Quality Tester (IQTTM) that permits fast, precise and reliable measurements of the ignition delay and CN of diesel fuels. Precision and repeatability is paramount in the Cetane environment as refineries want the most precise instrument available in the market. More precise and repeatable Cetane number measurements provide considerable economic benefits for refineries in terms of savings of additives. Recent R&D has determined that the fuel injection pump of the IQT is the main contributor of the instrument variability because current injection PumD characterization techniques are insufficient at redirecting behaviour of a particular bum6 within an IQT.This project will allow the intern to characterize the lQTTM injection spray using a Phase Doppler Particle Analysis instrument in order to develop a better characterization technique to improve the lQTTM precision. In summary, further accuracy gains of the IQT will result in increased sales of the technology and will potentially result in a formidable barrier to further market penetration for our competition.

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Faculty Supervisor:

Dr. Edgar Matida

Student:

Stephane Daviault

Partner:

Advanced Engine Technology Ltd. (AET)

Discipline:

Engineering

Sector:

Energy

University:

Carleton University

Program:

Accelerate

Activities of Daily Living (ADL) Recognition

The project shall explore the cutting-edge research and technologies in monitoring daily activities using a set of sensors deployed in the house. The objective of the research is to provide a feasible solution for improving care for patients with chronic disease, while significantly reducing the healthcare cost. We will conduct a comparative study on the existing models for characterizing human activities, and algorithms for activity recognition. Focusing on the open problem of multiple persons monitoring, we will identify an optimal set of sensors, design an algorithm for ADL recognition based on machine learning, and implement a prototype. We will test and evaluate our prototype using available datasets from other researchers. Kanayo will benefit from the results of the research, as well as the prototype implementations.

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Faculty Supervisor:

Dr. Evangelos Milios

Student:

Love Kalra

Partner:

Kanayo Software Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Dalhousie University

Program:

Accelerate

The Security Implementation of the Sahara Pipeline Inspection System

The intern will work closely with the PPIC Sahara system design engineers to develop a new security control system to protect both the software and hardware of the Sahara system. The tasks will 1) propose a true random number generator based on the dsp controller 2) implement a cryptographic algorithm based on the random number generated 3) develop the hardware and software for the proposed security system. This security system will provide an effective protection to the Sahara equipment from unauthorized use and protect the economic interests of the company.

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Faculty Supervisor:

Dr. Guangjun Liu

Student:

Hongwei Zhang

Partner:

Pressure Pipe Inspection Company Ltd.

Discipline:

Engineering

Sector:

Oil and gas

University:

Simon Fraser University

Program:

Accelerate

Colour Perception with MicroTile Digital Displays

This project will evaluate the quality of color video displays and will provide quantitative information for color scientists to use to evaluate different models of color differences. The data will be obtained using color normal observers and using non-invasive psychophysical procedures to evaluate color perception with video displays. The results of these experiments in addition to providing basic science data, will help Christie Digital by providing a quantitative analysis of color performance with the new display technology that has been developed by them.

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Faculty Supervisor:

Dr. Vasudevan Lakshminarayanan

Student:

Mahalakshmi Ramamurthy

Partner:

Christie Digital Systems Canada Inc.

Discipline:

Other

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

Glass-Telepresence Communication System

The research will result in a working prototype of an innovative two-way, high-resolution video and audio communications system, codenamed "GLASS". The prototype is to utilize projection technologies developed by Christie Digital Systems, video cameras, audio capture and playback components, and synchronization software developed by the intern. The system will allow people to communicate over any distance via full-size, high resolution video, high quality audio, unimpeded by the affordances typical of extant videoconferencing systems. That is, users can engage in eye-to-eye contact, move about, and interact in real time. The intern will conduct his research both at Christie and at CCAT, University of Waterloo.

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Faculty Supervisor:

Dr. Glenn Stillar

Student:

Krzysztof Pietroszek

Partner:

Christie Digital Systems Canada Inc.

Discipline:

Interactive arts and technology

Sector:

Information and communications technologies

University:

University of Waterloo

Program:

Accelerate

Efficient Modeling of Large-Scale LIDAR Date

Softree Technical Systems Inc has been providing innovative software solutions for surveying, mapping and engineering for more than 15 years. Softree's main mission is to provide high quality software applications in land development, civil engineering and the naturalresource industries. Recently, the company has developed a robust software to process the terrain data gathered from a LIDAR system. The main objective of the application is to provide the user with the ability to draw, label, manipulate, and extract some features of the terrain. As the technology of LIDAR data acquistion advances and also due to increased user demands, there is now the need to process and interact with very large amounts of geometry data. This is the main challenge we wish to address in this project. Although efficient processing of large-scale geometry using out-of-core modeling techniques, level-of-details or multi-resolution modeling, and applications supported by Softree offer particular new problem settings which would require more careful examinations and research into existing techniques and also development of new techniques to adapt to the user needs. In this project, we wish to develop a software system consisting of efficient out-of-core and Level of Detail (LOD) techniques to allow Softree to handle large-scale LIDAR data, datasets exceeding 100 million points. Algorithms for specific tasks relevant to Softree such as draping of road cross sections,volume differencing, and interactive model or road profile visualization will be developed.

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Faculty Supervisor:

Dr. Richard Zhang

Student:

Nima Aghdaii

Partner:

Softree Technical Systems Inc.

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Simon Fraser University

Program:

Accelerate

Access to Health Care in Labrador

This project will examine the barriers to health care services experienced by the people of Labrador. It will be conducted in three stages. First, a literature review will examine health issues facing Labradorians. Included in this will be a literature review of health research conducted in Canada's northern territories, as this area is culturally and geographically similar and issues parallel many of those in Labrador. Second, existing health status and health service utilization data will be examined to document current health status and utilization of health care services in Labrador. Third, key stakeholders in Labrador will be identified and focus group interviews will be conducted to examine issues and concerns related to accessing health services and to explore strategies to overcome barriers to accessing health care services. A final report with recommendations will be submitted to the appropriate government and non-government offices in Newfoundland and Labrador to facilitate and encourage collaborative action to remove barriers to health care access and allow equitable access to health care for all Labradorians.

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Faculty Supervisor:

Victor Maddalena

Student:

Gioia Montevecchi

Partner:

Rural Secretariat

Discipline:

Public administration

Sector:

Life sciences

University:

Memorial University of Newfoundland

Program:

Accelerate

Wear Analysis for Total Knee Replacements Using the Method of Finite Element Analysis

The wear of polyethylene components in total knee replacements is one of the major factors limiting the longevity and success of knee replacements. The project will use finite element analysis and mathematical wear calculations to model wear in a total knee replacement. The model will then be used to compare the wear rate of conventional polyethylene, normally used in knee replacements to the new highly]cross linked polyethylene which recently became available. The completed wear model will be very beneficial to Matrix Biomedical as it will enable the comparison between different implant types, and open up possibilities for individual factors which effect wear to be investigated.

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Faculty Supervisor:

Dr. Christine Wu

Student:

Sean O'Brien

Partner:

Matrix Biomedical Inc.

Discipline:

Engineering

Sector:

Medical devices

University:

University of Manitoba

Program:

Accelerate

Modeling, Simulation and Design Optimization of an Ultra High Frequency Panel Antenna

The proliferation of wireless devices has demanded improvements of wireless communication technology. Panel antennas are a type of reflector antenna in which an array of driven elements is mounted in front of a flat, metallic reflector. When designing, optimizing or perhaps just selecting a commercially available antenna, electromagnetic characteristics are generally the most used parameters to judge the efficiency and adequacy of an antenna. However, it has been proven that deformations of the structure holding the antenna from cyclic wind, rain, and ice loading effects and impacts from birds, stones, etc. greatly affect the antenna's electromagnetic characteristics. This is more so for large scale panel antennas; therefore, these effects need to be minimised in order to ensure an overall optimization of its performance. To my knowledge, there has not been any structural/mechanical optimization analysis performed on these antennas. In view of this lack of proper scientific-based analysis, this research aims at utilizing known methods such as Finite Element Analysis and Computational Fluid Dynamics to 1) design and model different antenna configurations based on the Sinclair Technologies' SP304 UHF Panel Antenna series technical constraints, 2) analyze and compare the different configurations based on their capacity to minimize vibration effects, stress-induced and thermal-induced deformations and aerodynamical loading effects, 3) generate conclusive results as of how each design factor affects the electromagnetic performance of the antenna and 4) optimize a final design and demonstrate performance improvements by numerical and experimental simulations. The parameters that will be optimized to ensure minimum deformations and thus optimal performance of the antenna are: 1)structural materials (thermal, electromagnetic and mechanical properties), 2) aerodynamical shape and 3)locking and clamping mechanisms. A M.A.Sc. student will be involved in the project under the supervision of Dr. Jean Zu. Technical support and guidance will be provided by Sinclair Technologies.

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Faculty Supervisor:

Dr. Jean W. Zu

Student:

Maby Boado Amador

Partner:

Sinclair Technologies Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Toronto

Program:

Accelerate

Synchronous Fusion for Continuous Biometrics Authentication

Existing authentication techniques are vulnerable to many attacks and abuses, such as password-capturing spyware, network sniffing, social engineering and unauthorized sharing. In this context, a new identity verification technology termed continuous authentication uses behavioural biometrics to ensure that the user is not using an identity that has been highjacked or stolen.This is performed by monitoring and processing periodically biometrics infromation from human computer interactions data such as mouse movements and keystrokes. Mouse and keystroke biometrics scores are produced asynchronously during the continuous process, making it hard for multimodal system involving both modalities to take full advantage of their combined strengths. The objective of the current MITACS proposal is to research and develop a dynamic and adaptive biometric fusion technique that will address the above limitation by allowing effective combination of mouse and keystroke biometrics schemes during continuous authentication. The new fusion model will be implemented in a future release of a continuous authentication product named Bio Tracker.

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Faculty Supervisor:

Dr. Mihai Sima

Student:

Youssef Nakkabi

Partner:

Plurilock Security Solutions Inc.

Discipline:

Engineering

Sector:

Information and communications technologies

University:

University of Victoria

Program:

Accelerate

Field Validation of C-PODTM (DNA Ident Inc.) Technology for Genetic Sample Collection Through Investigation of Large-scale Range Expansion of American White Pelicans in Ontario

Biologists – from field ecologists to epidemiologists to agricultural scientists ¨C are often faced with the daunting task of collecting hundreds or thousands of samples in the field for genetic analyses and tracking those samples from field collection through genetic analysis to final data analysis. DNA Ident Inc. recently developed C-PODTM genetic sample collection containers that preserve genetic material (e.g., tissue, blood, feathers) and use an electronic data chip to record and track sample information from collection through analysis. We propose to test the effectiveness of these C-PODTM sample collection containers by employing these technologies in a large-scale genetic study of American white pelicans. In collaboration with the Ontario Ministry of Natural Resources, we will use genetic and biogeochemical analyses to create a "map" of North America. American white pelicans are currently expanding their range across North America (especially Ontario) and, by sampling feathers at newly established colonies, we will use this map to assign individuals to their previous colony, which will allow us to track the movement and colonization patterns of pelicans.

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Faculty Supervisor:

Dr. Christopher Kyle

Student:

Matthew Reudink

Partner:

DNA Ident Inc.

Discipline:

Biology

Sector:

Fisheries and wildlife

University:

Trent University

Program:

Accelerate

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