The pipeline transport sector is facing the issue of precipitation of unwanted heavy molecular compounds namely asphaltene and wax eventually leading to deposit along the inner walls of the pipeline. This consumes a lot of energy and maintenance cost. The objective of this work is to provide a solution to inhibit the precipitation of these compounds by theoretically investigating the root cause of the problem. The present study focuses on investigation at both molecular scale level involving Nucleation kinetics and macroscopic level by studying bulk/interfacial properties of the system.
Sensing technologies require the deployment and maintenance of complex and large infrastructures. This research proposal is focused on peoples activity recognition technologies though existing WiFi infrastructures. The information gathered by this technology can be applied to different industries like home automation, security, etc. In the future, this technology will powered applications in the home automation industry as the one described next. Mary comes home and leaves her cellphone on the couch. As the system recognizes her, no alarm is activated.
Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under optimum design conditions, the sensitivity can be improved by up to a thousand - higher than any of the biosensors currently available on the market.
Intrusion detection has attracted the attention of many researchers in identifying the ever-increasing issue of intrusive activities. In particular, anomaly detection has been the main focus of many researchers due to its potential in detecting novel attacks. However, its adoption to real-world applications has been hampered due to system complexity as these systems require a substantial amount of testing, evaluation, and tuning prior to deployment.
The way a vaccine performs after injection is not completely understood and not all vaccines behave in the same way. To make a vaccine we must understand what is important or critical to make it work. For example a vaccine may have specific features such as its size or shape that are critical to the way the body reacts to it. When we know what these critical factors are then we make sure these are monitored and controlled as early possible in vaccine development. In this way we build quality into the product right from the start.
Often, a single employment notice may receive hundreds of applications. Manual inspection of applications is extremely time-consuming, and may be approximated by a computer program. Such a program would automatically extract a number of features from each application. For example, relevant work experience, skills, and qualifications might represent appropriate features. After extracting these features, the system would be able to score and rank applications in an effort to reduce the number of applications that would then need to be reviewed.
PUBLIC is an innovative art journal published by Public Access exploring the intersection between art, technology and contemporary culture. This fellowship develops PUBLICs open access interactive web platform, PUBLIC:PORTAL, using information visualization and design to showcase the journals cutting-edge collaborative and cross-disciplinary work. Working with the Sensorium Centre for Digital Arts and Technology at York University, PUBLICs information designers, as well as Public Accesss network of artists and researchers, the fellow will develop the pilot issue of PUBLIC:PORTAL.
The most common cause of chronic aortic insufficiency (AI), a backwards leaking of blood through the aortic valve, are congenital valve disease, degenerative valve disease, and primary diseases of the surrounding aorta. Current management of severe AI is to surgically replace the valve based upon generic 2D imaging measures of severity and progression. However, 4D MRI flow has been recently introduced and may offer a paradigm shift in the ability to characterize AI, particularly due to different disease states.
Nowadays, there is a rapid increase in the use of Unmanned Aerial Vehicles (UAVs) for commercial and civil applications. Fully autonomous or remotely controlled UAVs requires a reliable and continuous navigation system providing meter level accuracy. The cost, size, and power demand of navigation systems providing this level of accuracy preclude their use on commercial UAVs. To provide a viable and alternative option, this research will focus on developing a navigation system for UAVs that minimizes costs, while maintaining reasonable performance standards.
At the moment, BC has no comprehensive climate change curriculum in high schools, and educators lack coordinated materials to support its teaching. In an effort to narrow this gap, the Collaborative for Advanced Landscape Planning (CALP) at the Faculty of Forestry, UBC partnered with the Delta School District, to develop an educational and compelling videogame Future Delta 2.0 (FD2), which brings together methods from commercial gaming a participatory research to address climate change science in an innovative place-based game environment.