This project aims to develop cost estimation models using data analytics and machine learning techniques. In addition, throughout project execution, cost control and monitoring approaches will be further explored. These approaches will benefit from Work breakdown structures (WBS) and Enterprise Resource Planning models (ERP). Finally, the research will focus on developing project planning and management tool based on the Critical Path Method (CPM) and Project Evaluation and Review Technique (PERT).

The increasing concentration of CO2 has caused various adverse environmental effects on the Earth’s oceans, land, and atmosphere, leading to a worldwide consensus on the necessity of action and commitment to emission reduction. Carbon Capture and Storage (CCS), which involves capturing CO2 resulting from industrial processes for storage in underground geological formations, has proven to be an effective method for CO2 emission mitigation. CO2 absorption using chemical solvents such as amines is a prevailing but technically challenging and rather low-efficiency method of carbon capture.

The objective of this collaborative research project, between American Bureau of Shipping and Memorial University, is to improve the safety of ships in Polar waters. ABS is continuously updating information to its clients on practices for the safe operation of ships. The goal of this research is to provide technology and operational guidelines so that ships can operate safely in regions where ice is present. This requires protecting the ship, its passengers and crew and the marine environment.

Square Solar Inc., a lower mainland British Columbia-based company, envisages a solar module that is comprised of a mosaic of, ideally at least, scalable solar cells that will tile any given surface that is exposed to the Sun’s rays. The intern on this project will develop a means simulating the electrical performance of such a mosaic, the goal being the development of a standard testing protocol for such a device. A number of proposed designs will be critically assessed within the context of this protocol.

The seismic performance of structural systems has a significant impact on the level of safety of building infrastructure as they constitute a substantial portion of national wealth all across Canada. This study presents novel hybrid timber archetypes to overcome the drawbacks of their traditional frames. Accordingly, the timber braced frame will be equipped with various novel self-centering dampers to bring the structure to its plumb position following a major earthquake resulting in a low-damage structure, which can be readily serviceable.

The mining sector is vital to the Canadian economy, contributing $71B towards the GDP and providing 392,000 jobs. Canada is the 4th and 8th largest global producer of refined zinc and lead, respectively, and as one of the world’s largest zinc and lead refining facilities, Teck Resources’ operation in Trail, BC, is an important part of our economy. A critical aspect for the integrity of mining infrastructure is the use of materials that can withstand the harsh conditions associated with mineral processing (i.e., high temperatures, corrosive chemicals).

The ability to extract 3D models from 2D images, a process called Inverse Graphics, finds applications in the many applications of Virtual Reality. For the development of urban digital twins, we focus our research on Inverse Graphics of buildings, which would greatly simplify the reconstruction of entire city blocks in a virtual environment. We plan to investigate a Generative Adversarial Network (GAN) and Differentiable Renderer based approach. We first plan to train a building image GAN which would allow for the creation of a synthetic self-supervised dataset.

One of the primary challenges of creating robots that can complete useful real-world tasks is providing the robotwith the ability to navigate through its environment while avoiding collisions with objects. In order to do this,robotics relies on the use of collision checkers to determine which actions will result in a collision. The time takenfor a robot to come up with a collision-free path depends on how fast it can check for collisions and how often ithas to query the collision checker.

This research project focuses on the design and development of a robotic system and an inspection unit carried by it for doing Identification, Classification, and Measurement (ICM) of defects in pipes. Images/videos of the defects will be collected by a pipe inspection system to be developed in this project. Furthermore, wewill investigate how economically beneficial the technology and its implementation would be. Automated digitalreporting on defects will be conducted in this project in a lab environment by using machine-learning-basedtechniques. Defects such as dent, cracks, pitting, etc.

In this project, we are going to design blockchain networks and design an interaction between IoT devices. In this way, we can update the location of tokenized asset which is our food product in this project. Blockchain network can provide traceability and transparency, so we decided to use blockchain because of these features. The partner organization goal is to provide the seafood customers with a suitable source by which they can check whether the product is mislabeled.