Evaluating Harvest Management Procedures for Spatially-structured Fish Populations

Many fish populations have spatial structure which is not explicitly recognized in assessment or management. For example, Pacific herring are managed as five discrete stocks in BC, but there is evidence of both regional and within-stock diversity that may determine the capacity of the five large stocks to sustain themselves over time. This spatial structure is maintained by movement of fish among and between sub-populations within the greater, coast-wide metapopulation.

Algorithm for Robust Spam Blog Detection

In the world of today’s internet, ‘web notifications’ are becoming increasingly common. As opposed to a traditional search which is executed once against entered keywords, a web notification search is performed on a regular or continual basis, keeping track of available information changes in real time. The user is then notified once an item of interest appears on-line. Notification services receive continuous pings from blogs which inform of updates.

Aiding in the Design of an Efficient, Robotic System for Manufacturing Scalable Models

Precix is a leading manufacturer of CNC routers, dispensers, engravers and laser cutting systems. The goal of this project concerns the optimal design of a robotic finisher which is, in part, a novel manufacturing process used to replicate and scale-up 3D models. Applications are mainly in the movie and art industries. In these fields, there is the need to replicate few copies which generally have highly-detailed shapes. This project will focus on the system design of the robotic finisher and on the optimal design of its robotic head.

Ab-initio Simulation on Morphology and Reactivity of Supported Platinum Nanoparticles

Polymer Electrolyte Fuel Cells (PEFC) are under intense research as highly efficient and clean power sources for transportation and portable applications. The Cathode Catalyst Layer of PEFC, usually formed by carbon supported Pt-based catalyst, is considered as the most critical component. It involves all processes relevant for fuel cell operation. Cost and abundance of Pt is the major challenge for the commercialization of PEFC technology. Recent results in experiment and modeling indicate that catalyst activity and utilization could be improved by substantial factors.

Simulation and Mathematical Modeling of Unsupported Pt Nanoparticles for Fuel Cell Electrocatalysis

Polymer Electrolyte Fuel Cells (PEFC) are under intense research as highly efficient and clean power sources for transportation and portable applications. The Cathode Catalyst Layer (CCL) of PEFC, usually formed by carbon supported Pt-based catalyst, is considered as the most critical component. It involves all processes relevant to fuel cell operation. Cost and abundance of Pt is the major challenge for the commercialization of PEFC technology. Recent results in experiment and modeling indicate that catalyst activity and utilization could be improved by substantial factors.

Multivariate Analysis for Manufacturing Excursion Detection with Complex Equipment Containing Sub-Systems

Triant Technologies provides the ModelWare Fault Detection software product to monitor sensor data collected from advanced manufacturing tools such as those used for semiconductor and flat panel display manufacturing. ModelWare Fault Detection software performs a range of analyses, including online, multivariate data analysis using a proprietary algorithm and implementation. The goal for this project is to improve the performance of the multivariate analysis methods when used with complex manufacturing equipment.

Modelling Home and Community Care

The overall project goal is to develop a model of the Home and Community Care System that can aid in predicting future loads on the system and explore how policy changes might impact it.

Features-driven Multi-modality Registration and Fusion of Functional and Structural Medical Images

The internship project with Pacific Nuclear Medicine will develop a software tool that brings two images obtained from different imaging modalities into spatial alignment (aka multi-modal registration). This is a necessary task for the creation of correct image fusions, which are essential for diagnosis and correction of nuclear medicine images. Additionally, the project will develop a feature-registration framework in which pattern-recognition techniques and feature-extraction methods to increase the accuracy and robustness of the registration algorithm will be employed.

Requirements for a Collective Intelligence Information Service for Design Teams

Design teams perform goal-oriented decision making, while communities of interest excel at collective discovery. Small groups tend to both receive and present information that is already shared, and do not like to change initial preferences once formed, while good decisions require all the relevant information. There are strategies to mitigate this bias. Technology can harness the strengths of communities of interest to support these strategies.

Game Object Parallelization

In order to produce ever more powerful computer chips designers have begun to produce CPUs with duplicated infrastructure and machines with multiple CPUs. This allows these devices to perform actual simultaneous calculation. The most recent generation of video game consoles are built with this manner of technology, thus adding a new dimension of complexity to the design of the underlying system. Taking a traditional computational task and dividing it for parallel execution is not trivial.

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