Mesh networks with an autonomous channel assignment can be used as a viable cost-effective alternative for a last mile broadband access. The channel assignment algorithm in mesh networks should be capable of reducing the ...
Organizational bilevel decision-making often involves uncertain factors. The parameters shown in a bilevel programming model, either in the objective functions or constraints, are thus often imprecise, which is called the ...
We extend the model of Karlof and Wagner for modelling side channel attacks via Input Driven Hidden Markov Models (IDHMM) to the case where not every state corresponds to a single observable symbol. This allows us to examine ...
We devise a variationalBayes algorithm for fast approximate inference in Bayesian GeneralizedExtremeValue additive modelanalysis. Such models are useful for flexibly assessing the impact of continuous predictor variables ...
Structural health monitoring is a vital part in the management of bridges, particularly as the structures begin to age. Detecting structural faults through the use of sensors is an emerging field that has seen considerable ...
Witht he rise in group work across schools and universities, there has been a great deal of research regarding the beneficial impacts of teamwork on learning. However, research is limited in the area of assessment of group ...
Reid, Anna; Petocz, Peter(Oxford Centre for Staff & Learning Development, 2004)
Research on learning often focuses on ways that students learn in specific situations. Research investigate learning in specific topics, courses and institutions, and sometimes workplaces. The outcomes of such research ...
The pure pattern calculus generalises the pure lambda-calculus by basing computation on pattern-matching instead of beta-reduction. The simplicity and power of the calculus derive from allowing any term to be a pattern. ...
Quasi-Monte Carlo methods are used to approximate integrals of high dimensionality. However, if the problem under consideration is of unbounded dimensionality, it is not obvious if one can apply quasi-Monte Carlo methods ...
We apply quasi-Monte Carlo methods to the pricing of derivatives on realised variance of an index under the benchmark approach. The resulting integration problem is shown to depend on the joint density of the realised ...