The problem of the reconstruction of binary matrices from their fan-beam projections is investigated here. A fan-beam projection model is implemented and afterwards employed in systematic experiments to determine the optimal parameter values for a data acquisition and reconstruction algorithm. The fan-beam model, the reconstruction algorithm which uses the optimization method of Simulated Annea...

marketers apply a variety of approaches to attract customers and gain more profits. one method is the utilization of nostalgia marketing. the use of nostalgic sport characters has not been sufficiently studied. this research determined the reliability and validity of the questionnaires presented in the studies evoked nostalgia by pascal et al. (2002), familiarity with nostalgic character by mey...

When they reach a flat plain, rivers often deposit their sediment load into a cone-shaped structure called alluvial fan. We present a simplified experimental setup that reproduces, in one dimension, basic features of alluvial fans. A mixture of water and glycerol transports and deposits glass beads between two transparent panels separated by a narrow gap. As the beads, which mimic natural sedim...

Following DeMeyer, Ford & Miranda [DFM93], we define a topology on a fan ∆ in R by declaring the open sets to be its subfans. Then, like Kato [Kat94], we make our fans into monoided spaces by associating a sheaf of monoids to each ∆. (Our sheaf of monoids differs from Kato’s.) Observing that this new monoided space is locally isomorphic to the spectrum of some monoid in the same sort of way a s...

In this paper, on the basis of some recent works of Fan, Jiang and Jia, we establish a representation theorem in the space of processes for generators of BSDEs with monotonic and polynomialgrowth generators, which generalizes the corresponding results in Fan (2006, 2007), and Fan and Hu (2008).

It is shown that in a standard discrete neural network model with small fan-in, tolerance to random malicious faults can be achieved with a log-linear increase in the number of neurons and a constant factor increase in parallel time, provided fan-in can increase arbitrarily. A similar result is obtained for a nonstandard but closely related model with no restriction on fan-in.

In this paper, we study one class of Ky Fan-type inequalities, which has ties with the original Ky Fan inequality. Our result extends the known ones.