Investigate parametric machine learning algorithms to develop anomaly detection methods on real-time data

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can potentially result in problems such as system breakdown.

Investigate machine learning algorithms to develop anomaly detection methods

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can potentially result in problems such as system breakdown.

Evidence-based product support and the cultivation of a community of learners

While consumers adopt technological solutions based on their perceived usefulness, continued use of those products often depends on the support customers receive as they initially use the product, and when they run into problems or complex uses. Traditional support models (e.g., call centres) are often costly and only somewhat effective.

Measuring and quantifying mobile user quality of experience

The objective of this research is to develop an on-device, quality of experience (QoE) measurement suite, for Android based mobile devices. As mobile devices become the predominant method with which the world accesses the internet, it becomes increasingly important to understand the complex interaction between applications, mobile OS’s, the networks they run on, and the behaviours of a user base at large. Doing so with mobile devices raises a set of issues that aren’t present with traditional PC’s, and as such haven’t been explored thoroughly.

Assessing of affects on application-level mobile device quality of experience measures

With the growth of mobile device platforms such as smartphones and tablets, users now primarily experience the wireless networks they uses, whether cellular or WiFi based, through the context of the apps that they use. Hence, a heavy Skype user may perceive a given network to be of substantially different quality than would be perceived by a heavy text-messaging user. This reality has lead to a growing interest in quality-of-experience (QoE) measures as a compliment to more traditional network-level quality-of-service (QoS) measures.

Disaster recovery and cloud bursting as a cloud service

Cloud computing has revolutionized the way organizations consume computing power as a service. Infrastructure as a Service allows a company to move away from purchasing computing, networking, and storage resources to purchasing from a service provider in a public cloud. This project will research and develop off-site encrypted virtual machine storage and disaster recovery planning solution built using public cloud infrastructure.

Aperture antennas as mobile satellite terminals

Antennas are essential part of communication links. This project is investigating antennas for communication between a mobile terminal on earth to a satellite. The mobile terminal could be a flying craft or a vehicle in motion. These antennas should be able to transmit and receive data simultaneously in different channels. Besides, they should be capable of scanning the space to find the target satellite. Single channel antennas or antennas with mechanical tracking have been tested for this purpose and are available in market.

Analyzing a large user community using the social network analysis framework

In this project we will conduct Social network analysis (SNA) of MyCA user network, in order to assess the interplay between social influence and the diffusion of information within the MyCA platform. SNA offers a convenient method to represent and analyze interactions among the components of a system. SNA can thus provide an abstract representation of the MyCA a system, and allow us to study its function and organization.

Multi-host firmware for TCi controller

C-Therm Technologies' TCi Thermal Analyzer, measures quickly and non-destructively the thermal properties of liquids, powders, pastes and solids with very low conductivity and up to 120 W/mK. The TCi controller currently communicates with a single PC host using a limited resource 8 bit microcontroller. In this project we will investigate the firmware changes needed to accommodate a second tablet computer connected via a USB dock and/or a WIFI link.

Terahertz surface plasmon near-field sensor for material sensing applications

In this project, we plan to address the specific problem that TeTechS Inc is facing at this stage of its product development project, which is collecting a complete set of measurement data for an array of organic materials with different levels of purity and demonstrate the capability of its proprietary terahertz sensing techniques to qualify and quantify purity and integrity of organic LED (OLED) materials with the level of precision required in OLED deposition and material purification processes.

Pages