20,597 research outputs found
An implementation of the Dilkstra algorithm for fuzzy costs (Technical report 2018)
This report presents an implementation the Dijkstra algorithm applied to a type V fuzz graph. This new algorithm can find the shortest path in a graph with edge costs are defined as positive triangular fuzzy number
Extended multiwavelength fuzz around red quasars: observational appearance of radiative feedback in action
Red quasars are a population, characterized by significant extinction in UV,
which could be explained by absorption of dusty gas on a scale of a few kpc. We
show that the enhanced radiation-pressure drives the dusty gas to
supersonically expand and produces shocks. The shocks energize electrons to be
relativistic via the first Fermi acceleration. As a balance of shock
acceleration and synchrotron emission and inverse Compton scattering, the
maximum Lorentz factor of the electrons reaches as . The shocked
interstellar medium appears as extended multiwavelength fuzz, in which
synchrotron emission from the electrons peaks at near infrared or UV bands and
inverse Compton scattering around 1.0GeV0.1TeV. Future multiwavelength
images of the fuzz would provide new clues to study the details of radiative
feedback if red quasars could be a certain phase in evolutionary chains of
galaxies.Comment: 4 emulateapj.sty page with one Figure and one Table. Accepted by the
ApJ Letter
Time series forecasting using a TSK fuzzy system tuned with simulated annealing
In this paper, a combination of a Takagi-Sugeno fuzzy system (TSK) and simulated annealing is used to predict well known time series by searching for the best configuration of the fuzzy system. Simulated annealing is used to optimise the parameters of the antecedent and the consequent parts of the fuzzy system rules. The results of the proposed method are encouraging indicating that simulated annealing and fuzzy logic are able to combine well in time series prediction
Noise Infusion as a Confidentiality Protection Measure for Graph-Based Statistics
We use the bipartite graph representation of longitudinally linked employer-employee data, and the associated projections onto the employer and employee nodes, respectively, to characterize the set of potential statistical summaries that the trusted custodian might produce. We consider noise infusion as the primary confidentiality protection method. We show that a relatively straightforward extension of the dynamic noise-infusion method used in the U.S. Census Bureau’s Quarterly Workforce Indicators can be adapted to provide the same confidentiality guarantees for the graph-based statistics: all inputs have been modified by a minimum percentage deviation (i.e., no actual respondent data are used) and, as the number of entities contributing to a particular statistic increases, the accuracy of that statistic approaches the unprotected value. Our method also ensures that the protected statistics will be identical in all releases based on the same inputs
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