Innovative Projects Realized

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

29670 Completed Projects

2811
AB
4990
BC
801
MB
663
NL
825
SK
8841
ON
9197
QC
95
PE
568
NB
1088
NS

Projects by Category

Towards a Universal Cloud-based IoT Platform for Smart Applications

With the Internet of Things technology, a multitude of small devices and sensors are connected to the cloud and social networks using the Internet. These devices generate a huge volume of data, which can be used to discover trends and profiles. This enables building diverse useful applications for our modern society. This project is a collaboration with the industrial partner ACME Engineering Products, which manufactures sensing technologies. Our objective is to design and test a universal, autonomic and adaptable IoT system that can be managed remotely by the end-user and which can be used in a variety of smart applications. Three Master students carry out this project in an industrial context and help them acquire industrial experience and make them valuable future employees in the embedded and IoT systems field.

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Faculty Supervisor:

Abdelouahed Gherbi

Student:

Partner:

ACME Engineering Products Ltd

Discipline:

Computer science

Sector:

Manufacturing

University:

École de technologie supérieure

Program:

Accelerate

Tissue Microstructure of Surgical Specimens depicted with Optical Coherence Tomography

Perimeter Medical Imaging (PMI) has developed an investigational imaging device to aid in achieving clear margins during surgical oncology procedures. This project will employ PMI’s device to image multiple types of human tissues, which have been previously removed during elective or medical procedures. This study will correlate the images obtained using PMI’s device with the true microscopic structure of the tissue, as confirmed by a pathologist. These images will become part of a database of correlated images, which can be used to study the accuracy and precision of PMI’s device, and help to understand and improve upon this technology.

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Faculty Supervisor:

Julie Audet

Student:

Partner:

Perimeter;University of Toronto

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology

University:

University of Toronto

Program:

Accelerate

Development of an Echo Cancellation Scheme for Full Duplex DOCSIS 3.1 Technology

Data-Over-Cable Service Interface Specifications (DOCSIS) 3.1 is a technology that utilizes orthogonal frequency-division multiplexing (OFDM) technology to provide downstream (DS) transmission capacities of up to 10 gigabits per seconds (Gbps), as well as orthogonal frequency-division multiple access (OFDMA) technology to provide upstream (US) transmission capacities of up to 1 Gbps per channel. Full duplex (FDX) communication, via the concurrent transmission of the US and DS on the same frequencies, has been proposed for boosting the US capacity. Nevertheless, in an FDX communication system, one of the technical challenges is to overcome the deteriorating effect of interference from the transmitted signal into the collocated receiver. This situation is addressed by echo cancellation. TO BE CONT-D

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Faculty Supervisor:

Bruce Cockburn

Student:

Partner:

SED Systems

Discipline:

Engineering

Sector:

Professional, scientific and technical services

University:

University of Alberta

Program:

Accelerate

Optical Tissue Imaging DICOM/PACS Integration

The aim of this project is to research and develop a new DICOM modality for the optical coherence tomography images obtained by Perimeter’s Optical Tissue Imaging (OTISTM) device. Following the creation of a suitable modality, a novel solution for transfer to and integration with the PACS servers utilized by current Perimeter customers will also be developed. The device currently allows for local storage and review of obtained data, with images only ever transferred onto different servers by Perimeter staff. Therefore, through integration with PACS servers, this project will allow for improved review and assessment of the data, better flexibility of the product, improved data backup capabilities, as well as lowered Perimeter involvement in the process.

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Faculty Supervisor:

Julie Audet

Student:

Partner:

Perimeter;University of Toronto

Discipline:

Engineering

Sector:

Biotechnology; Health and Related Sciences & Technology; Information and Communications Technology

University:

University of Toronto

Program:

Accelerate

Performance Analysis of a Network of Dual-Lane Roundabouts

Modern roundabouts have become a subject of great interest and attention over the last few years. Compared to regular signalized intersections, roundabouts have the potential to reduce vehicular delay & emissions and increase safety. The objectives of this study is to conduct an in depth analysis to examine the short and long term benefits of roundabouts from a multi modal perspective. Using real observed data from vehicular traffic, pedestrians, cyclists and transit vehicles and complimenting it with microsimulation data, this research will assess the delay, environmental and safety impacts associated with all the stages of the roundabout life. The 2 industrial partners in this research are: Alberta Motor Association (AMA) and ISL Engineering. AMA is always keen to focus on research on the safety perspective of new innovative transportation solution. TO BE CONT’D

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Faculty Supervisor:

Lina Kattan

Student:

Partner:

ISL Engineering and Land Services Ltd;Alberta Motor Association

Discipline:

Engineering

Sector:

Administrative and support, waste management and remediation services; Finance and Insurance; Other services (except public administration); Professional, scientific and technical services

University:

University of Calgary

Program:

Accelerate

AChT Green Methanol Plant

Advanced Chemical Technologies has developed a unique combination of existing processes to create a new method of making methanol. This proposed method actually consumes the greenhouse gas carbon dioxide, or CO2, meaning it could help reduce the environmental impact of Ontario’s manufacturing. This internship would involve the simulation of this proposed process using advanced chemical engineering software. The simulation would focus on implementing a well-demonstrated method of capturing carbon dioxide into the methanol production process, thus bringing the project one step closer to reality. The simulation of the CO2 capture method would allow for detail technical and economic analysis and improvements. It would also provide the intern, Sean McCaul, with valuable experience applying his chemical engineering skills to a real-life proposal. Given that the project is in its development stage, this internship will be valuable for all involved.

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Faculty Supervisor:

Eric Croiset

Student:

Partner:

2486597 Ontario Inc;University of Waterloo

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate

Wide area Motion Monitoring System (WAMS)

Noise interference is often a major challenge in signal recognition. In this project, our goal is to monitor ground and infrastructure movement based on data acquired using smart sensor technology. While related works have been extensively discussed in the literature, our contribution lies in exploring a reverse engineering procedure to remove noise from raw captured data. We first detect the noise in images, which provide visual cues and make recognition comparatively easier than recognizing irregularities in signals. Novel image/signal quality assessment (IQA/SQA) metrics and de-noise algorithms will be introduced. We will also investigate the effectiveness of image/signal fusion with cross validation. Our objective is to automate the computational steps and improve the time and quality performance. This project will help 3vG in advancing the existing limits of InSAR technology and removing barriers to its operational use, leading to economic benefits in Canada.

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Faculty Supervisor:

Irene Cheng;Amirali Baniasadi

Student:

Partner:

3vGeomatics

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta; University of Victoria

Program:

Accelerate

Exploration of innovative sustainability-based wine shop strategies

This project will focus in new product/services development based on customer preferences and experiences in the wine shop. With this we intend to get insights into what current Cedar Creek customers are interested in with regards to potential new products and services. In particular, we want to understand the potential for offering new products and services focused in the concept of sustainability. Furthermore, we want to understand what are the motivations that would foster a customer to purchase a sustainably-produced wine. This will help build a better understanding of the different customer profiles and will be key input for constructing a set of new (or improving current) wine shop services and products. Overall, this project will give recommendations as to further improve the current wine shop customer experience. This will provide valuable data and insights for both the organization and the intern for research purposes.

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Faculty Supervisor:

Annamma Joy

Student:

Partner:

CedarCreek Estate Winery

Discipline:

Business

Sector:

Manufacturing

University:

University of British Columbia - Okanagan

Program:

Accelerate

Development and evaluation of an integrated UAV-based ranging and imaging system for characterizing surface relief and roughness

This research project is aimed at developing a multi-sensor system based on an unmanned aerial vehicle for characterizing soil micro-topography in agricultural fields. The system will be benefit from both passive imaging and active ranging technologies, respectively, based on an optical digital camera and a LiDAR sensor. Accurate and complete elevation measurements are essential for quantifying soil micro-topographic (MT) characteristics. Therefore, in this study, new techniques will be proposed for assuring data quality through i) optimizing the procedure of laboratory calibrations of the sensors and the system; ii) accurate integration of LiDAR point clouds and photogrammetric point clouds; and iii) ground filtering and digital terrain modeling from the integrated data and extracting soil MT variables (relief and roughness). TO BE CONT’D

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Faculty Supervisor:

Mozhdeh Shahbazi

Student:

Partner:

Centre de géomatique du Québec

Discipline:

Engineering

Sector:

Other; Agriculture and Food; Technology

University:

University of Calgary

Program:

Accelerate

Évaluation des modalités d’un outil de collaboration d’aide et de soutien à domicile

Plusieurs auteurs soulignent l’utilisation des technologies de l’information (TI) comme un outil facilitant la prise en charge de soi dans la perte d’autonomie et pouvant augmenter la qualité de vie des personnes âgées. Les TI peuvent posséder divers rôles en fonction des besoins des personnes en perte d’autonomie : (1) servir d’aide-mémoire, (2) maintenir le contact social, (3) performer les activités de la vie quotidienne et augmenter leur sentiment de sécurité. Les TI permettraient et faciliteraient le maintien et l’établissement de liaisons avec la communauté en diminuant l’effort de coordination des services. Le projet de recherche proposé consiste à évaluer les modalités de la plateforme collaborative qui permet de faire le lien entre les travailleurs autonomes et les individus en perte d’autonomie pour assurer différents services et le maintien à domicile.

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Faculty Supervisor:

Véronique Nabelsi;Martin X Noël

Student:

Partner:

Centre de recherche en technologies langagières

Discipline:

Business

Sector:

Administrative and support, waste management and remediation services; Professional, scientific and technical services

University:

Université du Québec en Outaouais

Program:

Accelerate

Operational Hydrological Forecasting in the Nelson-Churchill Watershed Using Gridded Climate Data

In order to understand the movement of water in all its three phases on, under, and above the ground, scientists known as hydrologists use computer models. These models simulate the volume of water that runs through river in response to the amount of rainfall that has reached the ground during a specific time period. Hydrologists typically use weather stations to learn how much rain has fallen over the land. In Canada and in remote parts of the country, there are not many weather stations available. Northern Manitoba is a prime example of such a place where the lack of rainfall information has stranded efforts to better understand the movement of water over land. In this study, a hydrologist is assigned to use other sources of rainfall information to better simulate river flows. This is specifically advantageous when managing water resources is of great importance for hydroelectric utilities and public stakeholders.

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Faculty Supervisor:

Tricia Stadnyk

Student:

Partner:

Manitoba Hydro

Discipline:

Engineering

Sector:

Professional, scientific and technical services; Utilities

University:

University of Manitoba

Program:

Accelerate

Development and validation of analysis tools and interfaces for automated rehabilitation systems

Automated physiotherapy motion tracking system may improve clinical outcomes by providing subjective measures and continuous monitoring. A study into different metrics that PTs may find useful for diagnosis and a user interface study assessing the current usability of the Automated Rehabilitation System, a system being developed by Cardon rehabilitation, will be conducted. A method to model the central nervous system using controls will be investigated to see if fatigue can be detected, which is a useful metric to provide both patients and physiotherapists. These two projects will significantly improve the effectiveness and usefulness of the Rehabilitation System.

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Faculty Supervisor:

Dana Kulic;James Tung

Student:

Partner:

Cardon Rehabilitation and Medical Equipment Ltd;University of Waterloo

Discipline:

Engineering

Sector:

Manufacturing

University:

University of Waterloo

Program:

Accelerate