Browsing Faculty of Science by Author "McGregor, Carolyn"
Now showing items 1-6 of 6
-
A big data and online health analytics framework extended to integrate clinical and countermeasure decision support
Yeung, Jennifer (2022-03-01)Computing frameworks that utilize big data analytics to support Clinical Decision Support Systems (CDSS) have proven to impact human lives in applications on Earth and in space. In the application of Space Medicine Decision ... -
CBPsp: complex business processes for stream processing
Kamaleswaran, Rishikesan (2011-04-01)This thesis presents the framework of a complex business process driven event stream processing system to produce meaningful output with direct implications to the business objectives of an organization. This framework is ... -
Community-oriented architecture for smart cities
Jalali, Roozbeh (2017-12-01)With the widespread use of smartphone devices, a surge in mobile sensing, progress in wireless communication and networking techniques, as well as the development of the Internet of Things (IoT) and cloud computing, ... -
Determining optimal flight paths for cellular network connectivity for the transmission of real-time physiological data in support of big data analytics during airborne critical care transport
Greer, Robert (2017-02-01)This thesis presents a methodology for determining the optimal flight paths between two geographical points based on distance and cellular reception over the path. This methodology consists of two main concepts: coverage ... -
A dynamic visual analytics framework for complex temporal environments
Kamaleswaran, Rishikesan (2016-08-01)Introduction: Data streams are produced by sensors that sample an external system at a periodic interval. As the cost of developing sensors continues to fall, an increasing number of data stream acquisition systems have ... -
A method to detect and represent temporal patterns from time series data and its application for analysis of physiological data streams
Inibhunu, Catherine (2020-03-01)In critical care, complex systems and sensors continuously monitor patients’ physiological features such as heart rate, respiratory rate thus generating significant amounts of data every second. This results to more than ...