This project will investigate and develop advanced algorithms for high dynamic range projection using caustic image formation. These algorithms dynamically redirect light from dark image regions to bright regions, which addresses the problems of low peak luminance and poor black levels in current projectors. The algorithms will improve upon existing lensing methods by increasing computational efficiency and improving contrast. This project will produce viable algorithms for light redistribution in cinema projectors.
Phase I: Development of Intellectual Property to Facilitate Partnership Agreements with Business and Non-profit Organization. Before partnership agreements with the business sector (companies) and not-for-profit organizations can be undertaken, intellectual property rights need to be established.
The cellular network nowadays faces an uphill battle against the explosive growth of mobile data traffic. Deploying low power radio base stations covering small cells within the current cellular coverage area is a promising approach to significantly boost the network capacity, provide better coverage, and reduce network congestion.
One of the major bottlenecks in portable devices is the limited energy provided by batteries. Some devices can afford larger battery packages and thus extend their battery longevity. However, for small portable units such as Recon Instrument's sport goggles, using larger batteries is not feasible. This research is mainly focused on remote charging for separation distances of up to 50 cm. It will lead to design and implement a dual-mode (hybrid) wireless power transfer system that is capable of both providing a "top-up" power as well as recharging the battery of the portable units.
This research investigation aims to assess a set of well known NP-Hard problems that are currently only solvable with an approximation, and prototype implementations of a general solution to their class of problem previously developed by 1QBit. This requires a series literature and prior art reviews, prior to the development of new algorithms and code which will deploy an analog optimization process as part of their solution.
Emerging applications such as interactive video conferencing, Voice over IP (VoIP) and cloud computing are required to achieve an end-to-end latency of less than 200 milliseconds. In many wireless networks, the round-trip time can alone reach this limit. Hence it is necessary to develop new delay-optimized networking protocols and delay-sensitive coding techniques in order to meet such stringent delay constraints. The proposed project will investigate both theoretical foundations and practical implementations to reduce delays in interactive communication scenarios.
Metafor is developing a new class of IT system management solution to monitor computer and application activities, and alert when anomalous behavior occurs. Current commercial tools for anomaly detection use simple statistical rules and thresholds to detect anomalies. These methods are failing for today’s dynamic cloud environment where change is constant. As a result, IT operators are flooded with false alerts; become overwhelmed with alert fatigue and learn to ignore the alerts.
Fatigue is a significant risk factor for operating moving vehicles in work settings that involve long duty hours or shift work rotations. A critical objective in fatigue management is to develop technology to establish fitness for duty, monitor fatigue in real time and predict performance failure. Eye movements (eyelid closure, blink rate and duration) are sensitive indicators of fatigue. Six Safety Systems has developed an eye tracking system that can monitor eye movements remotely.
Actenum produces scheduling software (Actenum DSO) that computes project schedules based on user defined criteria, constraints and desired KPIs (Key Performance Indicators). The software represents schedules using Gantt charts. A user of Actenum DSO enters activities and the constraints between them and then runs an optimization algorithm to produce a schedule. Actenum has found that their customers have challenges understanding what their schedule optimization algorithm is doing.