Selective Compression of Live Digital Video Frames for Power-friendly Wireless Transmission and Efficient Reconstruction

The project is aimed at implementing real-time processing techniques for video acquisition, compression and transmission. The project focuses on defining solutions in order to solve constraints within the system related to bandwidth and the battery energy of the sensor. Depending on the application, the acquisition and compression procedures could be based on extracting significant features […]

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New Analytical Approaches to Social Media Data

In general, market research agencies use surveys and social media analytics as different ways to explain customer behaviour. Vision Critical, a Vancouver software and market research firm, is currently testing how the two can be combined to generate new findings. While the company intends to offer this approach as a service, various important questions to […]

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Security in Ultra Large Software Systems

Ultra large software systems play an increasing important role in our lives. They are systems such as the world wide banking system, mobile communications systems, social networks, online retailers and online gaming systems. Ultra large software systems are critical and failures in the systems can critically impact the economic health of companies, markets and even […]

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Word Representation Learning for Detecting Malicious Chat Messages

Communicating with peers online is an increasingly popular activity for children and teenagers, which has led to growing concerns about bullying and other forms of malicious behaviour in online chat rooms and virtual worlds. Although some online forums are patrolled by human moderators, the amount of text being generated is typically too large even for […]

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Build Cross Platform Mobile application supporting various screen resolutions

Diversity among the mobile platforms requires an application developer to develop separate applications for each platform. Reason for this is the unique technological support and features that each platform comes embedded with. To use the features associated with any particular platform, we need to use the underlying SDK supported by that platform. Major market share […]

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Development of helmet liner material to protect against concussion

Sports related concussion is becoming a major short- and long-term public health concern. The proposed project is designed to test the capabilities of different helmet liner materials in mitigating impact forces resulting from blows to the head, and determine the utility of such materials in reducing the incidence and effects of such concussive blows in […]

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Identifying Areas of Assessment for Strategic Asset Development Tool

Tulkita's clients are facing challenges related to improving the operational effectiveness of IT. The objective of this research is to identify the specific areas requiring assessment, which will eventually lead to the development of an assessment tool to be used by Tulkita consultants. My research will consist of establishing the needs of Tulkita's clients, identifying […]

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GPU Scheduler Modeling for Early Power-Performance Estimation of Mobile Applications

User experience and battery life are key concerns for smartphone makers. Given the growing trend of graphic-rich applications on mobile devices, embedded Graphics Processing Units (GPUs) are increasingly being incorporated in smartphone hardware platforms. In this project the intern will develop fast, early and accurate models of embedded GPUs, before the GPU hardware is available. […]

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Design and Development of a Secure Online Platform for Real-Estate Transactions

ExactDeposit is an online tool that enables real-estate buyers to pay deposits on real-estate transactions electronically via credit or debit card. In addition to facilitating the deposit transaction, it will allow real-estate brokers and agents to log in and view transaction statistics both in real-time and historically. The tool will provide a user-friendly online form […]

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Adaptive and Emotionally Aware Chatbots

This research focuses on the development of machine learning and natural language processing techniques for automated textual dialog systems called chatbots. More specifically, we will develop algorithms to allow chatbots to adapt to new topics and concepts in open ended domains. We will also develop algorithms to recognize the emotions of users through their text […]

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Flow Optimization for Disaster Recovery in Software-Defined Networks

The concept of Software-Defined Networking (SDN) has recently gained significant attention as a practical and flexible way to create programmable networks, where new network services can be deployed or dynamically adjusted with ease. One application of this concept could be in enhancing the reliability and survivability of backbone communication networks. The main objective of this […]

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