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Projets par catégorie

Salmon Stream Habitat Assessment in the Kitimat River Watershed:Cumulative Impacts of Industrial Sulfur and Nitrogen Emissions and ClimateChange – Year Two

Atmospheric acid emissions are increasing in north coastal British Columbia from increased metallurgical smelting, marine fossil fuel transport, and development of liquefied natural gas. Acid deposition can cause episodic acidification of streams when acidic compounds are flushed into streams after snowmelt and precipitation events over hours to weeks. Many salmon-bearing coastal streams are likely sensitive to episodic acidification, but these events are poorly quantified in western Canada. Furthermore, drought and warming due to climate change can exacerbate episodic acidification of streams. Our study would determine the effects of acid emissions from Rio Tinto Alcan’s metallurgical smelting facilities on streams near Kitimat, BC. We would use remotely deployed water chemistry sensors to measure high-frequency variations in stream hydrology and chemistry. Statistical models would then be used to determine how acid emissions from multiple industrial sources may increase episodic acidification of streams and interact with the effects of climate change.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Moore

Étudiant :

Partenaire :

BC Works Rio Tinto;Hidden River Environmental Management Ltd.

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Elevate

Atmospheric Acid Emissions, Climate Change, and Coastal Salmon Stream Ecosystems in British Columbia

Atmospheric acid emissions are increasing in north coastal British Columbia from increased metallurgical smelting, marine fossil fuel transport, and development of liquefied natural gas. Acid deposition can cause episodic acidification of streams when acidic compounds are flushed into streams after snowmelt and precipitation events over hours to weeks. Many salmon-bearing coastal streams are likely sensitive to episodic acidification, but these events are poorly quantified in western Canada. Furthermore, drought and warming due to climate change can exacerbate episodic acidification of streams. Our study would determine the effects of acid emissions from Rio Tinto Alcan’s metallurgical smelting facilities on streams near Kitimat, BC. We would use remotely deployed water chemistry sensors to measure high-frequency variations in stream hydrology and chemistry. Statistical models would then be used to determine how acid emissions from multiple industrial sources may increase episodic acidification of streams and interact with the effects of climate change.

Voir la description complète du projet
Superviseur du corps professoral :

Jonathan Moore

Étudiant :

Partenaire :

Hidden River Environmental Management Ltd.

Discipline :

Earth science

Secteur :

Professional, scientific and technical services

Université :

Simon Fraser University

Programme :

Elevate

Design of seismic force resistant cross-laminated-timber walls and interior partition walls – year 2

The structural use of timber in North America is largely limited to low-value commodity products used in low-rise residential light-frame construction. There exists, however, much greater potential for timber to be used as a structural material. One solution involves the notion of “mass-timber” such as cross-laminated timber (CLT) panels. The prospect of building larger timber structures creates challenges, one of them is that lateral forces created by wind and earthquakes increase. Two of the questions that arise are: 1) what is an efficient method for hold-downs for CLT panels? and 2) what are the failure modes that can develop in CLT using connections attached close to the edge. The main research objective is to develop rational, efficient and safe hold-down designs for CLT walls. For this purpose, existing and novel hold-down concepts will be systematically investigated, with a focus on their technological and economic feasibility.

Voir la description complète du projet
Superviseur du corps professoral :

Thomas Tannert

Étudiant :

Partenaire :

Equilibrium Consulting Inc;FPInnovations (Vancouver, BC)

Discipline :

Engineering

Secteur :

Agriculture; Construction and infrastructure; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

Design of connections for seismic force resistant cross-laminated-timber walls

The structural use of timber in North America is largely limited to low-value commodity products used in low-rise residential light-frame construction. There exists, however, much greater potential for timber to be used as a structural material. One solution involves the notion of “mass-timber” such as cross-laminated timber (CLT) panels. The prospect of building larger timber structures creates challenges, one of them is that lateral forces created by wind and earthquakes increase. Two of the questions that arise are: 1) what is an efficient method for hold-downs for CLT panels? and 2) what are the failure modes that can develop in CLT using connections attached close to the edge. The main research objective is to develop rational, efficient and safe hold-down designs for CLT walls. For this purpose, existing and novel hold-down concepts will be systematically investigated, with a focus on their technological and economic feasibility.

Voir la description complète du projet
Superviseur du corps professoral :

Thomas Tannert

Étudiant :

Partenaire :

Equilibrium Consulting Inc;FPInnovations (Vancouver, BC)

Discipline :

Earth science

Secteur :

Agriculture; Construction and infrastructure; Professional, scientific and technical services

Université :

The University of British Columbia

Programme :

Elevate

Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers Year Two

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. Quantum computers are promising candidates to deal with computationally difficult problems, which makes development and study of quantum algorithms inevitable. I propose two promising machine learning algorithms that can be developed by drawing on the expertise 1QB Information Technologies has in the development of such algorithms for adiabatic quantum computers, which will speed up the training process in the current version of adiabatic quantum computers, developed by D-Wave Systems Inc.

Voir la description complète du projet
Superviseur du corps professoral :

Mark Schmidt

Étudiant :

Partenaire :

1QB Information Technologies Inc

Discipline :

Computer science

Secteur :

Technology; Other; Finance and Insurance

Université :

The University of British Columbia

Programme :

Elevate

Investigating the Implementation of Machine Learning Algorithms on Adiabatic Quantum Solvers

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. Quantum computers are promising candidates to deal with computationally difficult problems, which makes development and study of quantum algorithms inevitable. I propose two promising machine learning algorithms that can be developed by drawing on the expertise 1QB Information Technologies has in the development of such algorithms for adiabatic quantum computers, which will speed up the training process in the current version of adiabatic quantum computers, developed by D-Wave Systems Inc.

Voir la description complète du projet
Superviseur du corps professoral :

Mark Schmidt

Étudiant :

Partenaire :

1QB Information Technologies Inc

Discipline :

Computer science

Secteur :

Technology; Other; Finance and Insurance

Université :

The University of British Columbia

Programme :

Elevate

A Security and Privacy Model for M-Services in Toy Computing

The research project aims to develop a systematic methodology to link safety policy in terms of security and privacy considerations to the realization of Bring Your Own Device (BYOD), which encourages users to use their own mobile devices, such as smart phones and tablet PCs, to access various services to support a workflow in a Cloud infrastructure. Since the services may contain sensitive information or even trade secrets of an enterprise, the safety policy usually specifies the security and privacy rules in End User Level Agreement (EULA) format as realistic regulatory measures and assessment. The first phase of the project will develop a methodology to support security and privacy assessment over services via BYOD in the context of Cloud infrastructure. The second phase will develop hardware and software prototypes to test feasibility and usability of the methodology in a scalable and interoperable approach. Sample workflow scenarios with mobile devices, such as Android tablet PCs, involving security and privacy features will be developed with the support of business intelligence modules which then undergo data analytics and data mining tools for information retrieval and knowledge discovery.

Voir la description complète du projet
Superviseur du corps professoral :

Patrick Hung

Étudiant :

Partenaire :

Universidade de São Paulo

Discipline :

Computer science

Secteur :

Université :

University of Ontario Institute of Technology

Programme :

Globalink Research Award

Development of agricultural machinery emission inventory of Beijing, Tianjin, and Hebei

In China, with the rapid advancement of agricultural practice, agriculture machineries have become an essential tool. The widely use of agriculture machineries also make them a significant source of air pollutants, including nitrogen oxides (NOx) and particulate matter (PM), because most agricultural machineries are not equipped with an emission treatment system and some are poorly maintained. This study will develop an agricultural machinery air emission inventory of Beijing, Tianjin, and Hebei; this region often experiences the worst air quality in China. Survey questionnaires will be used to collect inventory and usage data of agriculture machineries. Emission factors will be selected from the literature. An estimation of air emissions in Beijing, Tainjin and Hebei will provide valuable information on the current impact of agricultural machinery on regional air quality and identify direction of improvement. The information collected will help policy makers enforce necessary regulations to improve air quality in the region.

Voir la description complète du projet
Superviseur du corps professoral :

Iris Xiaohong Xu

Étudiant :

Partenaire :

Nankai University

Discipline :

Engineering

Secteur :

Education

Université :

University of Windsor

Programme :

Globalink Research Award

Effectiveness of a Toilet Training Workshop for Parents of Children with Autism and Other Developmental Disabilities

Although researchers have identified a number of successful toilet training interventions, parents of children with autism and other developmental disabilities continue to have difficulty toilet training their children. The resulting lack of toileting competence can have negative effects on the lives of these children and their families. This study will evaluate the effectiveness of an innovative workshop designed to teach parents to toilet train their children with disabilities in a short period of time. The primary goal of the study is to provide parents with an efficient, effective, and low cost alternative to expensive toilet training interventions that are typically implemented by professionals, thus making toilet training more accessible to families. The partner organization, which regularly provides toilet training supports to families of children with autism and other disabilities, will incorporate the toilet training workshop protocol into its service and offer it to families, if it proves effective.

Voir la description complète du projet
Superviseur du corps professoral :

Pat Mirenda

Étudiant :

Partenaire :

Discipline :

Life Sciences

Secteur :

Université :

The University of British Columbia

Programme :

Accelerate

A case study on the influence of fuel quality on the concentration and chemical components of PM2.5 from vehicle emission

Recently, poor air quality due to fine particles (PM2.5) in large areas of China has gained much international attention, and vehicle emission is a significant source of PM2.5. Fuel quality is one of the influencing factors on vehicle emission. However, due to a large number of potential factors including fuel attributes, emission control devices, and driving conditions, there is a lack of systematic investigations on the relationship between fuel quality and PM2.5 emission quantities as well as its compositions. This study aims to improve our understanding of current practice and knowledge gaps in the fuel quality-PM2.5 emission relationship. This will be archived by a literature review and a pilot experimental study. A better understanding of relationship between fuel quality and vehicular PM2.5 emission will provide decision makers useful information. This information will lead to improved fuel quality thus to reduce discharge of air pollutants and to mitigate its health effects

Voir la description complète du projet
Superviseur du corps professoral :

Iris Xiaohong Xu

Étudiant :

Partenaire :

Nankai University

Discipline :

Engineering

Secteur :

Education

Université :

University of Windsor

Programme :

Globalink Research Award

A new beetle species associated with honey bees (Vietnam)

Beetles, possibly of an undescribed species, frequently inhabit honeybee (Apis cerana) hives in Vietnam. They walk over and around honeybees in their nest with no apparent harm to the bee colony. Surveys of beekeepers and their hives will enable us to determine the distribution and incidence of the beetles. A number of biossays will provide information on the tightness of the relationship between the two insect species (e.g., preference of beetles for various foods; honey bees vs. other bees; beeswax vs. paraffin; etc.). We will rear the beetles to unravel their life cycle. The beetle will be identified and if it is a species new to science, it will be formally described. The proposed research will greatly enhance our understanding of this apparently unique bee-beetle relationship. In turn, this enhanced knowledge should improve understanding of the highly detrimental small hive beetle, a pest of western honeybees.

Voir la description complète du projet
Superviseur du corps professoral :

Gard Otis

Étudiant :

Partenaire :

Vietnam National University

Discipline :

Life Sciences

Secteur :

Education

Université :

University of Guelph

Programme :

Globalink Research Award

Multiband phased antenna array feasibility study

Disruptive antenna technologies are required to provide performance and fabrication advantages in developing multi-functional antenna array solutions that could provide various capabilities, including multi-band frequency operation and two dimensional electronic steering. The internship will investigate the technical feasibility of such multi-functional antenna arrays for commercial applications in the context of fabrication constraints

Voir la description complète du projet
Superviseur du corps professoral :

David Klymyshyn

Étudiant :

Partenaire :

DragonWave Inc

Discipline :

Engineering

Secteur :

Manufacturing

Université :

University of Saskatchewan

Programme :

Accelerate

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