Cistel Technology Inc. is a progressive information technology (IT) services company with a long-standing relationship in the high tech sector and the Federal Government. This internship proposal has both a research and a development component. The research component will concentrate on accessing methods under the IEEE 805.15 protocol that will be used in the prototypes of the smart wireless toys. The access part involves both scheduling of the nodes (toys) in order to interact in an efficient well-controlled manner, and also issues on interference at the physical layer.
The project aims to apply data mining in the VISTA clinical trails database at the Geriatric Medicine Research Unit. The data contains information about Alzheimer’s disease (AD) patients, some of whom received cholinergic treatment and some of whom did not receive this treatment. Because of the variability of responses to treatment as well as the variability in the course of disease progression, it is difficult to identify the patterns robustly associated with improvement, which is crucial in justifying the choice of treatment.
Alcatel manufactures telecommunications equipment, ranging from telephone handsets to internet routers. The Research & Innovation group within Alcatel is mandated with evaluating new technologies and new ideas that may benefit Alcatel products, thereby benefiting Alcatel’s customers, and ultimately the end users. One current area of research is the ability to detect when the behavior of a stream of traffic has changed, and to then reallocate resources suitable for the changed stream.
A High Dynamic Range display is a display that can reproduce a wider range of image intensities than typical displays - that is, a range more closely matching the capabilities of the human visual system. Specifically, BrightSide Technologies’ DR37-P display can produce an eye-squinting 4000 cd/m2 (as bright as a ceiling fluorescent light) or as dim as 0 cd/m2.
New High dynamic range (HDR) display devices are being developed which have contract ratios 300 times greater than existing LCD displays. These HDR displays are the first that are able to fully represent the range of intensities that are produced by illuminated objects on a sunny day, and are joining HDR cameras and file formats in creating a pipeline from image capture/construction to display that is able to maintain much higher image fidelity than was previously possible.
In this project, the intern research team is proposing to research and develop a Decision Support System (DSS) based on current research in constraint-based optimization, dynamic scheduling and probabilistic modelling. The Ottawa Paramedic Services (OPS) can use this system in their command and control centre to improve its operation and as a result improve the lives of the residents of Ottawa. The system is supposed to handle the burden of the combinatorial complexity while the human operator makes high level, strategic and tactical decisions.
This project is part of a larger research project which investigates the applicability of the peer-to-peer (P2P) computing paradigm in designing large-scale content distribution systems. To develop an efficient content distribution system, it is essential to understand the workload that will be distributed, the behavior of content consumers and the environment in which the system will operate.
This project aims at performance modelling of athletes and involves the collection of detailed data that affects rider performance in professional cycling. This data is utilized for assessment of training and performance and for supporting individual training schedules through modelling and profiling of individual athletes. The methodology is based on pattern discovery and recognition using Self Organizing Maps, an exploratory data analysis model of demonstrated success in automated monitoring tasks involving multiple parameters.
Behavioural detectors for intrusion detection require training in order to correctly characterize the operation of a service – protocol combination. Implicit in this is the assumption that the learning algorithm will scale to large datasets and provide simple solutions. This work will address both requirements under a Genetic Programming context through the use of a combined multi-objective, host-parasite model. It has already been demonstrated that both schemes are appropriate independently.
The objective of the project is to determine the impact of various game features on VLT game play. These features are based on the current strategies adopted by SPIELO for its North American market. This data will be collected from players in a real life setting, then analyzed, and used for player profiling and as an input for improving existing strategies and measure their effectiveness. The analyzed data, the derived player profiles and the inference from the study will be used in developing a software simulator of original gaming environment.