This project intents to design and build a prototype for a device that uses low-intensity ultrasound for localized treatment of malignant skin cells. The industrial partner is interested on evaluate the performance of a current cosmetic device and the feasibility to use a device with similar characteristics to treat malignancy. We propose to first characterize this existing device to determine the conditions of operation, then evaluate the biological effects that are expected for those conditions.
Automotive Open System Architecture (AUTOSAR) is a system-level standard that is used worldwide by the automotive companies and their suppliers to develop the standardized software development framework for automobiles . The basic software of AUTOSAR should be configured to develop an Electronic Control Unit (ECU). The information to configure the basic software is given in an Extensible Markup Language (XML) file. Currently, these XML files are interpreted by the developer and manually entered for each configuration.
Histopathology is the study and examination of tissue slides under magnification and is the definitive diagnosis for many diseases including cancer. With the advent of whole-slide scanners and image management software systems, computational pathology tools can be created to measure disease in an efficient and objective manner. This is in contrast to the labourious and subjective manual analysis approaches. In Canada, breast cancer is the 2nd cause of cancer death.
Proliferation of electric vehicles indicates the need for a large number of Fast-Charging station that can charge the EV battery within 10 to 15 minutes in contrast to the slow charging process which takes several hours. The fast charging stations themselves will be supplied from the host utility grid and consequently can impose significant burden on the electricity infrastructure. Green Cheetah Fast-Charging Technology provides provisions to minimize or eliminate the impact of fast-charging station on the grid.
Atomic Force Microscopy (AFM) is one of the most widely used imaging tools by the researchers and industries to view and characterize tiny objects. This tool uses a very tiny and sharp probe to scan or feel the surface of the specimens and then it produces a topography image of the scanned surfaces. Since the probe is in a direct contact with these surfaces it wears off and becomes dull frequently.
In this project, we develop a framework to use the data from fiber sensing technologies to smart monitoring of Oil and Gas Reservoirs. The project involves extensive lab experiments simulating different monitoring conditions. Different configurations for installation of sensing equipment will be examined. The optimum location of tubing will be also determined. Signal processing methods will be used to extract useful information from the raw fiber-sensed data. Through experiments, we will record and analyze the relationship of fiber-sensed signals and the flow conditions.
Chronic obstructive pulmonary disease (COPD) is an inflammatory disorder of the lung, and one that affects 2.6 million Canadians and 380 million people worldwide. Although the disease affects a large population worldwide the therapies used for treatment remain imprecise. With the lack of disease modifying therapies there is a pressing need to discover novel targets to promote new therapeutic discoveries and ultimately improve the care and health outcomes of patients with COPD.
Sustained operation of sanitary pumping stations in Richmond BC is critical to the health and safety of its residents. The overarching goal of this research project is to investigate strategies to improve urban resilience by operating the sanitary pumping station loads in coordination with distributed energy resources (DERs), including renewable generation and energy storage. Particularly, this project aims to develop a decision-making tool to optimize infrastructure investment in DERs while promoting resilience of sanitary pumping stations.
Software have been used, always, to deliver various needs to people. In this aspect, Roseto Health Innovations have developed a software that can deliver fact-driven wellness information to their customers. In its effort to elicit mutual benefit for research in Software engineering and company, Roseto Health Innovations has partnered with Prof. Behrouz Far and Prof. Ray J Turner to better understand a software development process that includes user requirements related to health and wellness, while adhering to the IEC 62304 standards.
Rimot monitors, controls and provides insights into remote critical infrastructure through the use of enabling technologies such as data analytics, security and advanced networking. Critical research areas in data analytics, security and advanced networking are beneficial for the creation of unique intellectual property and commercialization opportunities for Rimot. This project will focus on the investigations and analysis of industrial Internet of Things ecosystems including, exploring the impacts of IOT security and threat assessment using port and naval systems; determining the optima