Representing and understanding 3D Objects

Understanding the 3D world around us is a key goal in computer science. If we are endowed with 3D understanding, we can solve problems in several areas in computer science such as robotics, fast 3D modelling and physical reasoning. However, it is not clear how 3D objects can be represented because of the high dimensionality […]

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Private Secure Blockchain Transactions

IDENTOS and the University of Ottawa will collaborate in the research and development of cryptographic techniques for secure and privacy-respecting blockchain transactions. This project has research, design and implementation aspects. The project builds on the strengths of IDENTOS and The University of Ottawa in the areas of Mobile Security Privacy and Blockchain. The students will […]

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Weighted linear point-cloud registration for scan-matching in GPS-denied environments

The ability for an autonomous robot to create its own map based on onboard sensors and simultaneously, localize itself within this map is know as Simultaneous Localization and Mapping (SLAM). Although the theory behind SLAM has been well developed much work still needs to be done in realizing SLAM solutions that meet situation-specific real-world requirements. […]

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Tropospheric delays in ground-based GNSS reflectometry – Assessment of ad-hoc models against ray-tracing simulations

Global Positioning System (GPS) multipath reflectometry (GPS-R) has recently emerged as coastal sea level altimetry technique. GPS-MR is based on the simultaneous reception of direct and reflecting satellite signals, exploiting the signal-to-noise ratio measurements. Atmosphere affects the GPS signals proportionally to the height of the antenna and results to underestimation of the tidal amplitudes. Over […]

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ERGO4ALL: Intégration de l’aspect temporel dans l’évaluation du risque de TMS

Les logiciels actuels de DHM (Digital Human Modeling ou d’ergonomie virtuelle) destinés à la conception de situations de travail et de produits demeurent difficiles à utiliser ce qui en limite grandement l’utilisation par les concepteurs et les ergonomes. Pourtant, l’utilisation plus répandue de DHM permettrait d’en arriver à des environnements de travail plus sécuritaires et […]

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Radiomic-based deep learning for time-to-event outcome in pulmonary malignancies.

Advances in medical image scanning technologies has allowed for great improvement in medical care, from early tumor detection, to trailered treatments and predicting treatment outcome. However, this has resulted in the generation of huge medical image databases, with thousands of medical image scans per patient that need to be examined by clinicians, making it impractical […]

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Kappa architecture serving layer suitability

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory and business concerns. This project seeks to define a technology infrastructure design that supports current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration across those borders. […]

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Calcul de la rigidité superfluide dans le régime de coexistence de phase dans les cuprates à température finie

Qu’est-ce que la supraconductivité non-conventionnelle? C’est un phénomène quantique se produisant à haute température dans certains matériaux et associé à la disparition de toute résistance électrique et par l’expulsion des champs magnétiques, une fois ces derniers refroidis sous une température critique Tc et en présence d’un champ magnétique inférieur à un champ magnétique critique Hc. […]

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Intelligent Perception of Mining Equipment Operation using a Single Camera

In order to further enhance the productivity of mines, it is crucial to optimize mining operations. Motion Metrics Int. Corp. offers a wide range of machine vision based products to monitor mining excavators, and to generate actionable information for the mine management board. Performance of the current Motion Metrics’ products can be improved by intelligent […]

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An Artificial Agent for Light Switch

Ecobee is a home automation company that makes thermostats for residential and commercial use. Smart lights are the second-most desired home automation devices after thermostats, but being able to remotely control the lights is only a small part of the vision. ecobee light switches have embedded microphones, a speaker, and far-field voice technology that allows […]

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Evolving data storage design for a highly regulated financial sector.

Global service providers in highly regulated financial sectors must accommodate an ever-changing, sometimes competing, landscape of regulatory concerns. This project seeks to determine a reasonable path forward in technology design and adoption to accommodate current and anticipated data privacy and data residency concerns, making it possible to keep data within borders while still facilitating collaboration […]

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Decision making with rich ontologies for minerals exploration

Resource extraction, including mineral exploration and mining, is an important part of Canada’s economy. There is currently a great interest in finding the minerals that are needed for batteries; arguably the lack of minerals is the biggest impediment to cutting the price of electric vehicles and weaning society off fossil fuels. Artificial intelligence has great […]

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