This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]

Synauta is a startup bringing the world’s best Internet of Things solutions to water utilities. Our deep industry knowledge prepares utilities for true connectivity to realize energy savings. We provide cyber security, sensors and software. In this project we will create a temperature prediction algorithm to save energy for water treatment plants. More energy can […]

Canada is one of the largest canola producing countries. The industry contributes about $20 billion revenue to the Canadian economy. Currently, canola farmers rely on the weather forecast (temperature, moisture, etc.) to decide whether to apply a fungicide. As the Internet-of-Things and sensor technologies get more advanced, farmers are deserved to have better technologies for […]

The effect of different factors in the field of view on the vestibular (balance) system including color, intensity, object motion, self-motion sensation, etc. are investigated in this study. Electrovestibulography (EVestG) is used to quantitatively measure vestibular responses from the ear canal, noninvasively. Currently, there is an ever- increasing interest among the health-related authorities to use […]

The voltage source converter VSC mimicking the behavior of a synchronous machine provides many advantages for grid operation. This “virtual synchronous generator (VSG)” will be implemented as a real-time simulator model on the RTDS simulator and used to investigate several operating scenarios. The VS G behaves like a synchronous machine, which is one of the […]

Near-eye displays (NEDs) are small displays that are positioned closed to the eye, which conveniently places visual information in the line of sight of a user. NEDs need to be compact and lightweight as they are typically worn on the head, taking the form of glasses or goggles. In this research, we design and build […]

Querying databases without a layer of privacy protection might lead to serious privacy issues. Such issues include access patterns and communication volume patterns. By combining the state-of-the-art privacy standard (differential privacy) and encryption in provides resilience to a host of attacks on remote databases, including data reconstruction attacks. However, there is still research work needed […]

The mining industry directly employs more than 426,000 workers across the Canada and contributed $97 billion to Canada’s GDP in 2017. However, mining workers are exposed to five-fold higher occupational hazards than the industrial average. Reliable underground communication is essential to alleviate incidents and escalate rescue operations. However, wireless communications in mines is a big […]

The main objective of this project is to design and test millimeter-wave RF front end components for applications in 5G new radio communication systems utilizing the thin-film multilayer LTCC fabrication process developed at ACAMP. With these fabricated and characterized prototypes, ACAMP will be able to showcase its specialized LTCC fabrication process and provide support to […]

Information is everywhere, especially in the commercial vehicle industry. Vehicles may be classified by number of axles/tires. There are several text- and label-based classification systems: for dangerous goods transport (HAZMAT); vehicle safety code compliance (CVSA); and general identification and tracking (license plates, USDOT numbers). Employing humans to perform simple classification and recognition tasks can be […]

The current non-destructive and fast method of hyperspectral imaging technology for the chicken egg-related problems in agri-food processing suffers from the quality of acquired hyperspectral images. Therefore, the results of all existing attempts to deal with those egg-related problems (e.g., freshness, grading eggs, fertility detection and distinguishing abnormal eggs) can be improved since they are […]

Reinforcement learning (RL) is the problem of designing an agent that interacts with its environment and adaptively improves its long-term performance. Many complex real-world industrial decision-making problems can be formulated as an RL problem. RL is at the core of artificial intelligence and has the potential of having a huge impact on our economy and […]