Distributed and Partitioned Join Index

The overall goal of this internship is to improve the query capacity of the Informatica Data Vault data management system. In particular, better support for join operations, that combine the information of various tables of data warehousing appliactions, will be provided. For that, a specialized join index will be designed, developed and evaluated on standard […]

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Intermodal container allocation problem in rail yards

In this project, we propose to develop innovative methods to improve the efficiency of yard operations in intermodal terminals where containers awaiting to be loaded on the trains are temporarily stored. The management of yard operations involves allocating storage space to containers on the yard, and assigning cranes and/or other handling equipment to transfer the […]

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Investigating Stream Clustering and Correlation for Heterogeneous Gaming Data

In today’s world it is important to make data-driven decisions. However, as the data volume increases and as it evolves continuously and dynamically, in other words as we get more and more streaming data, it becomes more challenging to use such data for decision making and support. Thus in this research, we aim to develop […]

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LANGA – Big Data for Language Learning

LANGA is a project at Copernicus Studios (Halifax, NS) that is experimenting with the use of automated speech recognition in on-line video games to assist in language learning. Over the past 2 years, the company has been developing prototypes of the game and testing them in conjunction with the NeuroCognitive Imaging Lab at Dalhousie University. […]

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Computer vision for 3D environment recognitionin augmented reality mobile games

We propose to develop computer vision technologies for recognizing 3D environment for augmented reality (AR) mobile games. Given an image/video taken captured a mobile device (e.g. iPad), we would like to be able to recognize some useful information about the 3D environment of the game player. For example, one of our goals is to recognize […]

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Evaluating the Confidence of Metabolite Rankings in NMR Metabolomics Data

The proposed project is for the intern to develop an algorithm to decide on the suitability of a group of chemical compounds to transfer from one detection instrument (low throughput) to another detection instrument (high throughput). For ease of use and cost considerations it is preferable for these chemical compounds to measured using a high […]

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Dynamic Modeling with Empirical Data for Hydropower Decision Support

Long-term decision making strategic investment planning under the condition of great uncertainty is of great importance to power utilities such as Manitoba Hydro. A review of standard and existing planning methodologies will be the basis for identifying and testing new formal methods to support the definition of robust investment programme planning. This project will address […]

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Developing an automated tool for SAR parameter optimization

Synthetic aperture radar (SAR) satellites provide wide area global perspectives through images of the Earth’s surfaces and its governing processes. Capable of detecting small variations in surface roughness, and unconstrained by lighting and weather conditions, SAR is a robust remote sensing instrument. Designing and operating a SAR is a complex process, as there are numerous […]

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3d design for fabrication: real world meets screen world

Newly available technologies for 3D fabrication — notably hobbyist 3D printers — are widening the user base for 3D design software. Autodesk, currently the industry leader in 3D design software, is broadening the scope of their activities, seeking to reach amateur users and to encourage their use of Autodesk software solutions. One of the most […]

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A Group Recommender System for deviantART

deviantART is the world's largest online arts community with a huge number of users and items. They currently recommend art to users only via an algorithmic presentation of "popular" items, and an item-item recommender system presented alongside every individual piece of art. deviantART expects to use recommender systems technology to enhance and leverage the contributions […]

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User Profile generation for Mobile Ad Targeting

Personalized ad targeting is one of the most important features to ensure a successful advertising campaign—e.g., F-150 ford pickup trucks are best shown to construction workers than teenage girls. Another important aspect of ad personalization is frequency capping the ads. For example, showing the same ad 100 times to 1 user will result in not […]

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