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.
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.
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.
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.
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.
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.
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.
Western Forest Products is an integrated Canadian forest products company and currently the second largest coastal woodland operator in British Columbia. Traditionally, a tree is cut based on a logger’s observation of the tree including any defects, its species as well as its taper. Currently, these factors do not explicitly consider the products which are in demand. Thus, the goal of this internship is to develop a method to assist the logger to produce the optimal ratio of products demanded by the market.
Identifying early onset of cardiac diseases is not easy and can be very expensive. For this reason, the first symptom of cardiac problems is often catastrophic for patients. The ultimate goal of this project is to produce a low-cost screening device that effectively identifies the presence of the disease early, allowing patients to take corrective action in terms of lifestyle, diet and stress management in order to eliminate the need for surgical intervention and/or drug therapy.