Projets novateurs réalisés

Explorez des milliers de projets réussis issus de la collaboration entre organisations et talents postsecondaires.

30156 projets achevés

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842
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Projets par catégorie

Using Text Mining Techniques to Analyze Notes in Financial Statements

Firms meet legally established accounting rules by including notes in financial statements that essentially hide key information in plain sight. That is, they contain information necessary to understand the statements, but due to the volume of notes and arcane language may be uninterpretable by even lawyers. However, these notes may be interpretable by a software application. For example, the notes in the Enron case were found to be decipherable by a human being, but only after substantial effort. Ultimately, we wish to determine where the surface meaning of the financial statements misrepresents the reality of the organization where this can be discovered or at least suggested by the notes. As well, we aim to gather information about what notes are present, consider variations in wording, and support multiple languages. This project will benefit CaseWare by providing the company with new capabilities to analyze notes in financial statements.

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Superviseur du corps professoral :

Frank Rudzicz

Étudiant :

Partenaire :

CaseWare International

Discipline :

Computer science

Secteur :

Professional, scientific and technical services

Université :

University of Toronto

Programme :

Accelerate

Tangible Characterization Toolkit: High-Level Physical Sketches in Tangible Interaction Design for Creating Rapid and Meaningful Prototype

This project explores how interaction designers can use physical objects to ‘sketch’ out ideas for interactive experiences. Just as a painter might first sketch his or her idea in pencil, interaction designers can use the objects in this toolkit to create 3D sketches of their ideas in the real world. Each of the objects is embedded with a sensor, light, motor, sound, or other ‘behavior’, which, when combined together, create a simplified version of a larger interactive experience. The objects can be combined in different ways to test different ideas, sensors, actions, etc. These ‘sketched experiences’ can be useful both to designers, to see their ideas in action, and to potential clients, in order to help them understand the designers’ vision.

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Superviseur du corps professoral :

Alissa Antle

Étudiant :

Partenaire :

Tangible Interaction Design Inc

Discipline :

Engineering

Secteur :

Real estate and rental and leasing

Université :

Simon Fraser University

Programme :

Accelerate

Is no news bad news? An investigation of local news poverty in Canada

Upheavals in the news industry have sparked concerns about the availability of local news, particularly in smaller cities, suburban municipalities and rural areas. This project will make it possible to launch/moderate a crowd-sourced national map that tracks local news outlet launches/losses/service cuts over time; analyze data from a survey that asked voters in eight Canadian communities if local media equipped them with sufficient news/information to cast an informed vote for their local MP in the 2015 federal election; and analyze social media/daily coverage in the same eight communities to identify/compare the availability of news/information about the local races for MPs. The results will benefit the project partner by informing the advocacy of Canadian Journalists for Free Expression in support of freedom of expression and access to information. The map will help quantify the extent to which access to local news/information and a range of diverse voices is available and identify the type of media/regions hardest hit by news industry retrenchment. The survey/content analysis results will fill a gap in Canadian research on whether and how the critical information needs of communities are being addressed.

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Superviseur du corps professoral :

April Lindgren

Étudiant :

Partenaire :

Canadian Journalists for Free Expression

Discipline :

Sociology

Secteur :

Information and cultural industries

Université :

Toronto Metropolitan University

Programme :

Accelerate

Development of a simulation model for prediction of performance of an anesthesia circuit using a novel CO2 separation system

Anesthesia is delivered to patients in vapour form, supplied via Mechanical ventilation in closed loop anesthesia circuit. This necessitates the removal of the carbon dioxide (CO2) produced during respiration. Currently, anesthesia circuits use granulate-based CO2 absorbents that react with CO2 to remove it from the gas stream. However, anesthetic vapours also react with the chemical absorber producing toxic bi-products that have been connected to negative patient outcomes. DMF Medical Inc. has developed an early stage prototype device that provides an alternative method for CO2 removal. To finalize device specifications and produce a market ready system, optimization of device performance and material properties is required. In this project, Dr. Hanafi will create a comprehensive and accurate computer model that enables testing a range of mechanical ventilation conditions on different simulated patient conditions to find the optimal design parameters to minimize concentration of CO2 in the system.

Voir la description complète du projet
Superviseur du corps professoral :

Jan Haelssig

Étudiant :

Partenaire :

DMF Medical Incoporated

Discipline :

Engineering

Secteur :

Manufacturing

Université :

Dalhousie University

Programme :

Accelerate

Environmental diagnosis and monitoring of the Buranhém river estuary and adjacent coastal zone, Porto Seguro, Bahia, Brazil

Porto Seguro, in the Bahia province of Brazil, has a need to understand the behaviour of its river systems so that it may adequately plan to improve sanitation and prevent coastal erosion. The student will work under a team of experts in Brazil and assist with data collection, analysis, and planning in the beginning stages of a project designed to understand the Rio Buranhém system. The project will help the lead researchers to create a numerical model that will enable them to approach governments with recommendations that will improve the quality of life for local residents as well as preserve a thriving tourism industry that relies on the health of its coastline.

Voir la description complète du projet
Superviseur du corps professoral :

Clare Robinson

Étudiant :

Partenaire :

Universidade Federal do Sul da Bahia

Discipline :

Engineering

Secteur :

Université :

Western University

Programme :

Globalink Research Award

LearnCloud: Crowdsourcing Educational Content for Syrian Refugee Children

Over half of the 1.8 billion school-aged children in the world lack access to basic education. The situation becomes worse in war-torn countries as conflicts in the Middle East, and in particular Syria, escalate. It is estimated that over 2.6 million Syrian children have not been in school for over three years. Thus, the proposed research project aims to alleviate this humanitarian crisis by investigating methodologies and best practices for crowdsourcing educational content for children in conflict zones. Through this project, the intern will further her technical skills, as well as obtain a better understanding of innovative educational delivery. The results from this research will provide The Rumie Initiative (partner) a better understanding of Syrian education needs and streamline content creation activities for their digital educational device.

Voir la description complète du projet
Superviseur du corps professoral :

Claus Rinner

Étudiant :

Partenaire :

The Rumie Initiative

Discipline :

Sociology

Secteur :

Education

Université :

Toronto Metropolitan University

Programme :

Accelerate

Effects of feeding a yeast-derived microbial protein source on production, reproduction and behavioural parameters in transition dairy cows

Transition cows (3 wk before calving until 3 wk after calving) often suffer from negative energy and protein balances due to reduced feed intake, but increased nutrient demands for milk production. In Canada, up to 50% of transition cows may be affected by a metabolic (ketosis, hypocalcemia, and milk fever) or infectious (retained placenta, displaced abomasum, and uterine infection) disease. These diseases lead to production losses, infertility, animal welfare problems, and high culling rates of transition cows. The consequences of negative protein balance in transition cows have received little scientific investigations. Therefore, in this study, we propose to evaluate the effects of a yeast-derived microbial protein (YMP) on production (feed intake and milk production), reproduction (ovarian dynamic, gene expressions in ovarian granulosa cells and fertility), nutrient metabolism (energy, nutrients and minerals in plasma and gene expressions in the liver), and behavioural responses in transition cows. We hypothesize that YMP supplementations may alleviate the production, reproduction and welfare problems faced by transition cows. Data generated from this study may enable our industrial partner to market YMP as a new product for transition cows.

Voir la description complète du projet
Superviseur du corps professoral :

Arif Mustafa

Étudiant :

Partenaire :

Bélisle Solution Nutrition Inc

Discipline :

Life Sciences

Secteur :

Agriculture

Université :

McGill University

Programme :

Accelerate

Manitoba Rural Broadband: A Capitals Assessment in Rural Communities

Researchers have recognized Information and Communication Technologies (ICTs) potential but have not fully understood the benefits of ICTs as ways of strengthening rural communities in places such as Manitoba. This project’s goals are to create and improve research methods and tools to determine how rural communities in Manitoba use broadband and how those communities can increase socio-economic benefits through broadband.
This research will use the project partner’s E-Index ICT assessment along with qualitative tools to identify community capitals/assets impacted by broadband use and to assess potential benefits. This research will take place in 8 selected communities in rural Manitoba. The interns will lead or assist in the E-Index and case study research, data analysis and share authorship in the project reporting and dissemination. The project partner, Function Four Ltd., will have opportunities to participate in journal submissions as well as co-present at national/international conferences.

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Superviseur du corps professoral :

William Ashton;Wayne Kelly

Étudiant :

Partenaire :

Function Four Ltd

Discipline :

Sociology

Secteur :

Professional, scientific and technical services

Université :

Brandon University

Programme :

Accelerate

Effet de la maintenance prédictive sur la rentabilité économique de certains actifs critiques d’une entreprise

Les entreprises qui utilisent des équipements industriels doivent suivre des programmes de maintenance. Les actions de maintenance conventionnelle sont divisées en quatre catégories : réparations urgentes, maintenance corrective, maintenances préventives (remplacement systématiques des pièces) et maintenances conditionnelles. Une nouvelle catégorie commence à être utilisée : la maintenance prédictive qui utilise des méthodes numériques pour prévoir la durée de vie restante des composantes des équipements et permet de remplacer les pièces d’une manière plus efficace.
Le but de cette recherche est de développer un outil d’aide à la décision pour les gestionnaires d’actifs des entreprises. L’outil comptabilisera certains indicateurs de l’entreprise tels que la performance opérationnelle, les efforts de maintenance et l’utilisation des ressources. L’outil tiendra aussi compte de l’importance de chaque équipement dans la production, du coût de mise en oeuvre de la maintenance prédictive et les améliorations escomptées des indicateurs de performance. L’outil sera en mesure de fournir un calcul sur la rentabilité escomptée du déploiement des outils de maintenance prédictive du partenaire industriel sur les équipements d’une entreprise.

Voir la description complète du projet
Superviseur du corps professoral :

Michel Rioux

Étudiant :

Partenaire :

Matricis Informatique Inc

Discipline :

Physics

Secteur :

Professional, scientific and technical services

Université :

École de technologie supérieure

Programme :

Accelerate

Correcting for near-surface weathering using a model-based move-out method for Foothills Depth Imaging

When seismic data is used to image the subsurface, assumptions and calculations are made about the complex near-surface geology to overcome the geologic uncertainties. A near-surface velocity model is generated to calculate shifts in time that is used to correct for velocity anomalies. This same time shift that was optimized the data in time is not optimized for data in depth.
A new method proposed is to make and apply shifts to the data in depth. This calculation will take into account uncertainties unique to the data in the depth domain. This new shift will be based on near-surface model and the deeper velocities, which in turn will more accurately position the subsurface image.
Thrust Belt Imaging will benefit by having a developed methodology specific to the data in depth that will be scientifically robust, economic to execute, and assist to reduce risk in exploration for natural resources.

Voir la description complète du projet
Superviseur du corps professoral :

Kristopher Innanen

Étudiant :

Partenaire :

Thrust Belt Imaging Inc

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

University of Calgary

Programme :

Accelerate

Low maintenance lawn with big climate footprint

Reduction in C release to atmosphere and sequestering in soil has shown strong potential to combat climate change and only possible source where city landscapes can sequester C in soil is mainly in the lawns. Researching on new varieties on lawn grasses to increase C sequestration has the potential to reduce grower’s resilience on high maintenance grass species with least C sequestration potential. Cangro Enterprise Inc. (CEI), an organic lawn care service provider from Ottawa region, takes an innovative and sustainable approach in lawn care and intends to introduce rhizomatous tall fescue (RTF) as a new grass species. This research examines the C sequestration potential of RTF in compare to three other common lawn grass (fine fescue, Kentucky blue grass and regenerative perennial rye) when it is grown with and without organic booster solution. Understanding the C sequestration potential of RTF will allow growers to adopt right varieties of grasses and management practices suitable to produce a nice looking lawn while contributing to the cities’ commitment to combat climate change.

Voir la description complète du projet
Superviseur du corps professoral :

Asim Biswas

Étudiant :

Partenaire :

Cangro Enterprise Inc

Discipline :

Earth science

Secteur :

Agriculture

Université :

McGill University

Programme :

Accelerate

Geology and Geochemistry of the Laird Lake Property, Red Lake Greenstone Belt, Ontario

Shear zone-hosted, or orogenic, gold deposits are a significant mineral resource in the Superior Province of Canada. This study will investigate the nature and genesis of gold mineralisation in the Red Lake area of the Uchi subprovince. Recent exploration by Bounty Gold Corp. has identified Au mineralisation in the Laird Lake area close to the giant deposits of Red lake. This study will characterise the nature and tectonic setting of the host rocks to the mineralisation in order to provide a framework for subsequent studies into the Au-bearing fluids themselves. The mineralisation will be investigated using a combination of mapping, petrology, alteration studies and isotope work (Sm-Nd, O and H). Results from this study will be compared to orogenic gold deposits in Canada and Australia leading to significant advances in our understanding of this deposit type and the development of new exploration models

Voir la description complète du projet
Superviseur du corps professoral :

Peter Hollings

Étudiant :

Partenaire :

Bounty Gold Corp

Discipline :

Earth science

Secteur :

Mining

Université :

Lakehead University

Programme :

Accelerate

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