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In usual computers - that use binary representation of real numbers - an irrational real number (and even a rational number like 1.3 or 1.2) can only be computed with a finite accuracy. The more accuracy we need, the larger the computation time. It is therefore reasonable to characterize the complexity of computing a real number a by the accuracy Δa(t) that we can achieve in time t. Once we know this...
A good benchmark suite should provide users with inputs that have multiple levels of fidelity for different use cases such as running on real machines, register level simulations, or gate-level simulations. Although input reduction has been explored in the past, there is a lack of understanding how to systematically scale input sets for a benchmark suite. This paper presents a framework that takes...
This paper presents a solution to maneuvering networked airborne sensors with both time and motion constraints to benefit sensing. Decentralized maneuver design is shown to enhance the network tolerance to loss of sensors, in addition to reducing the complexity in computation and communications. Sensing accuracy and speed are achieved by a high-level aggregation of the sensor outputs and a time-coordinated...
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