Optimizing plant processes is of prime importance now more than ever. With stricter infrastructures being placed on safety, environmental effect, and corporate social responsibility, more complex systems that optimize these factors are needed. These complex systems with advanced algorithms are intended to further streamline the existing process while mitigating issues leading to a safer workplace, and environment, while creating cost savings potentially in the millions. Two of the biggest problems that are hindering this growth are process optimization and management of alarm systems.

With the development of information technology, people's requirements for computing storage capacity are also increasing. And cloud storage is an important part of the system architecture for implementing cloud platform. Although many studies believe that cloud platforms provide a reliable and secure data storage center, the security problem is still the main problem in cloud storage. In particular, data integrity is a core security issue in reliable cloud storage. In traditional solutions, users need to rely on the third-party audit for data integrity verification.

There is a large need for custom orthotic insoles that meet user’s needs in terms of comfort, pressure distribution correction and impact absorption integrated a in more extensive and flexible way. The limited reliable control of these factors in current manufacturing processes has led to frequent orthotic adjustments, reduced device compliance, lowered effectiveness and increased time and expense from both the orthotic provider and the patient.

The objective of this proposed research is to examine how multiculturalism is experienced and practised in community by women from different cultural backgrounds. Drawing on everyday life stories created by the study participants, we aim to obtain empirical knowledge about impacting factors that positively influence immigrant integration and resettlement experience. Such knowledge will contribute to the construction of effective multicultural communities.

Dunes are common bed features in large sand-bedded rivers and are significant sources of in-channel roughness. Reliably estimating roughness is crucial for the prediction of flood flows, but roughness is crudely represented in hydraulic models widely used by environmental consultants and engineers. Roughness is treated as a calibration knob in these models, adjusted to force predicted water levels to match observations. This makes water level predictions during floods difficult, especially for flows beyond the range of previous observations.

The proposed project will develop a system that combines ambient environmental sensors with sleep detection methods to measure sleep quality and allow the user to improve their focus during activities of their daily lives. Observing sleep patterns through all the stages of sleep to model the users body clock and quality of sleep. In addition, using environmental sensors to help users identify optimal sleeping conditions. This will be done by developing an algorithm that will estimate sleeping patterns with environmental sensors and produce a report to optimize their sleep.

The objective of this project is to research new technologies and methods to help in the assessment and functional imaging of neuroplasticity related to music therapy. The approach utilizes key novel technologies being researched in partnership with Dr. Ryan D’Arcy.