Pyrometallurgical processes have long been used for producing ferronickel alloy. Rotary kiln Electric furnace (RKEF) is one of the most important technologies for producing ferronickel. The process involves partial reduction of the ore in the rotary kiln with the addition of fuels and reductants. During the process, some impurities present in the fuels and reductants are introduced to the rotary kiln product (clacine). The presence of impurities, especially sulfur would significantly affect physical and mechanical properties of product.
Nowadays, the sustainable supply of energy is challenging due to growing concerns over climate change and increasing global demands. This leads to an urgent need for developing sustainable and renewable biofuels and bioenergy. Biomass gasification is a very promising route for bioenergy production. However, syngas from this process normally contains unacceptable level of tar. Tar can cause operational issues in syngas downstream applications. Hence, the elimination of tar has been the biggest obstacle in the successful commercialisation of the biomass gasification technology.
Unstructured data refers to data that is present in reports, web pages, newspapers and other media. Such data is the most common data that we see around us and yet no modern tools exist to extract information from it. In this project we will develop techniques to extract the data and apply it to geoscientific reports in order to aid in the discovery of new mines and other geoscience applications.
Bladder cancer is the fifth most common form of cancer in Canada, however progress in the development of safer and more effective therapies has been slow. The use of antibody drug conjugates (ADC) is a promising therapeutic option that would allow for targeted killing of cancer cells, if the obstacle of getting the drug inside the cell can be overcome. The proposed research project aims to use iProgen's Antibody Internalization Domain technology to engineer ADCs targeted to bladder cancer, which can be readily taken into the cell.
Machine learning is an active field of research and development to provide tools and technologies for finding significant patterns in data. Behind every face detection and face recognition software in digital cameras or social network websites a constantly under-development machine learning algorithm is working. Nowadays in any practical applications of machine learning we have to analyze huge amounts of data. Using classical approaches to train machine learning algorithms for some classes of algorithms is either very slow, requiring a lot of computing resources, or inefficient.
This thesis seeks to investigate initiatives that address the enhancement of benefits to indigenous people in northwestern BC while minimizing socioeconomic effects from LNG construction phase developments through to operations.
(CEE) is a unique, interactive and visually compelling web-resource to build capacity of citizens, decision-makers, and local government staff on community energy and related land use issues. The objective of this 2-year project is to improve, expand and launch a public version of CEE in the Metro Vancouver region, and initiate a process to foster uptake and replication across BC.
This project will focus on using cameras to measure the rotation angle of a wood log in a sawmill production line. This work will involve updating a cart to move and rotate a wood log, setting up a camera to see the full path of the wood log, and writing a computer code to find a feature on the log face and track the feature as the log rotates. The set-up will be tested and validated at the partners pilot line. Once this project functions properly, it will be used as part of a larger project currently being carried out by the partner.
Gene expression in blood is highly affected by the type and proportion blood cells. Therefore, cell composition needs to be taken into account when looking for signatures specific to a condition. The issue is that cell composition needs to be assessed on fresh blood, i.e. at time of blood collection. If this has not been done, the only way one can assess is by predicting it using a methodology suggested in this proposal. Therefore, if blood cell count is not available, the cell composition can be inferred from existing next generation sequencing data sets.
The sustainable use of forest- and agriculture-based resources to produce clean fuels and value-added chemicals is an opportunity to reduce greenhouse gas emissions generated by non-renewable fossil fuels. Glycol, a valuable industrial chemical, can be derived from sugars that originate from agricultural and forest waste and byproducts using a catalytic process. S2G Biochem, located in Vancouver, is working to develop and demonstrate technology to convert sugars and polyols to glycols.