Good Decisions, Diverse Voices: Developing Tools for Equitable Decision Making

Despite the importance of diverse voices in community decision-making, we still do not fully understand how to support sound decision making in a way that is equitable and works to advance agendas of historically marginalized groups. We will draw on notions of equitable representation and urban planning to define equitable decision making, identify value elicitation […]

Read More
The paradigm of management: Investigating the link between Indigenous-led contemporary clam management systems and clam diversity in an industrialised ecosystem

The general objective of the proposed activity is to increase the future productivity of Burrard Inlet and the contribution of seafood to the diet of Tsleil-Waututh Nation (TWN) members in support of the TWN Cumulative Effects Monitoring Initiative. Specifically we propose to (1) quantify the ecological variables driving contemporary clam density, biomass and diversity; (2) […]

Read More
The Development Of A Large-Scale Multidimensional WebApplication To Support Data Visualization, Mining & Analysis

For this project, we will develop the statistical theory to support, as well as a full functioning prototype for, a large-scale multidimensional data visualization application. This application, which will be fully scalable, will include an interactive user dashboard with customizable widgets. By taking a methodological approach to this type of research , along with an […]

Read More
Optimizing Machine Learning to Increase Relevance in Photo Selection for Private School-Based Social Media

Machine learning, specifically deep learning, for face recognition applications has advanced significantly over the past 20 years [ref: science direct survey on deep based facial recognition]. There are many deep learning concepts pertinent to face image analysis and facial recognition, and there is active research in outstanding problems ranging from effective algorithms to handle variations […]

Read More
Machine Learning for User Behaviour Prediciton in Mobile Games

With the growth of the social networks and mobile gaming devices in recent years, the social gaming became an important part of the game industry. These social games provide huge amount of data about the users’ behaviors, an important issue for the gaming companies is to analyze this data and model the choices and behavior […]

Read More
Investigation on a scalable platform for modular robotic systems development: Case study on AISCartPuller robot

AIS Inc. is at the forefront of developing practical mobile robots for various markets. Mobile robots are considered as very complex systems comprising of hundreds of interacting components in complex system architectures. Developing such complex robotic systems, particularly in large scale, requires a coherent collaboration and engagement on various specialized areas such as scientific research, […]

Read More
FiX – Flash-in-XNA (Xbox New Architecture)

V7 is seeking to advance its innovative rapid prototyping tool FiX (Flash-in-XNA) – a core piece of its game engine toolkit for Xbox360, PC, and Windows 7 Phone platforms. The tool allows designers and artists to build assets in Flash/Actionscript and bring them into an XNA platform.

Read More
Low Dose Computed Tomography Imaging: Measuring effects of denoising algorithms by means of objective and subjective measurements, and algorithms parameters optimization

In Computed Tomography (CT), X-ray radiation is used to penetrate through the internal structure of the patient body in order to produce digital images. This means patients could be exposed to certain level of X-ray radiation dose. Accumulation of these exposures beyond certain threshold could increase risk offatal cancer. Thus it is of paramount importance […]

Read More
Development of a “Jennic Wireless to Ethernet” Gateway Embedded System

The proposed R&D is a part of larger project currently developing by Unity Integration Corporation on intelligent lighting systems. This project is consisting of different parts such as wireless motion detectors, wireless ambient light sensors, control systems, predictive software and web-based user interface. The proposed R&D mostly focuses on the development of a gateways embedded […]

Read More
Development of Deep Learning-based Speech Recognition Algorithm for FPGA

Automatic speech recognition (ASR)-based services have become an indispensable part of our daily life, thanks to products such as Apple Siri, Google Home, and Amazon Alexa. More and more smart home appliances are also controlled by voice. However, most of these services rely on speech recognition and natural language understanding services running in the cloud, […]

Read More