Sean Hanna

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While structural optimisation is usually handled by iterative methods requiring repeated samples of a physics-based model, this process can be computationally demanding. Given a set of previously optimised structures of the same topology, this paper uses inductive learning to replace this optimisation process entirely by deriving a function that directly(More)
Style is a broad term that could potentially refer to any features of a work, as well as a fluid concept that is subject to change and disagreement. A similarly flexible method of representing style is proposed based on the idea of an archetype, to which real designs can be compared, and tested with examples of architectural plans. Unlike a fixed, symbolic(More)
This memo defines the requirements for a tunnel-based Extensible Authentication Protocol (EAP) Method. This tunnel method will use Transport Layer Security (TLS) to establish a secure tunnel. The tunnel will provide support for password authentication, EAP authentication, and the transport of additional data for other purposes. (IETF). It represents the(More)
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examples of previous designs, thus implicitly capturing the features that distinguish that set from others without requiring a predetermined measure of fitness. A genetic algorithm is(More)