1,767 research outputs found
Discrimination of Individual Tigers (\u3cem\u3ePanthera tigris\u3c/em\u3e) from Long Distance Roars
This paper investigates the extent of tiger (Panthera tigris) vocal individuality through both qualitative and quantitative approaches using long distance roars from six individual tigers at Omaha\u27s Henry Doorly Zoo in Omaha, NE. The framework for comparison across individuals includes statistical and discriminant function analysis across whole vocalization measures and statistical pattern classification using a hidden Markov model (HMM) with frame-based spectral features comprised of Greenwood frequency cepstral coefficients. Individual discrimination accuracy is evaluated as a function of spectral model complexity, represented by the number of mixtures in the underlying Gaussian mixture model (GMM), and temporal model complexity, represented by the number of sequential states in the HMM. Results indicate that the temporal pattern of the vocalization is the most significant factor in accurate discrimination. Overall baseline discrimination accuracy for this data set is about 70% using high level features without complex spectral or temporal models. Accuracy increases to about 80% when more complex spectral models (multiple mixture GMMs) are incorporated, and increases to a final accuracy of 90% when more detailed temporal models (10-state HMMs) are used. Classification accuracy is stable across a relatively wide range of configurations in terms of spectral and temporal model resolution
Wind-Driven Gas Networks and Star Formation in Galaxies: Reaction-Advection Hydrodynamic Simulations
The effects of wind-driven star formation feedback on the spatio-temporal
organization of stars and gas in galaxies is studied using two-dimensional
intermediate-representational quasi-hydrodynamical simulations. The model
retains only a reduced subset of the physics, including mass and momentum
conservation, fully nonlinear fluid advection, inelastic macroscopic
interactions, threshold star formation, and momentum forcing by winds from
young star clusters on the surrounding gas. Expanding shells of swept-up gas
evolve through the action of fluid advection to form a ``turbulent'' network of
interacting shell fragments whose overall appearance is a web of filaments (in
two dimensions). A new star cluster is formed whenever the column density
through a filament exceeds a critical threshold based on the gravitational
instability criterion for an expanding shell, which then generates a new
expanding shell after some time delay. A filament- finding algorithm is
developed to locate the potential sites of new star formation. The major result
is the dominance of multiple interactions between advectively-distorted shells
in controlling the gas and star morphology, gas velocity distribution and mass
spectrum of high mass density peaks, and the global star formation history. The
gas morphology observations of gas in the LMC and in local molecular clouds.
The frequency distribution of present-to-past average global star formation
rate, the distribution of gas velocities in filaments (found to be
exponential), and the cloud mass spectra (estimated using a structure tree
method), are discussed in detail.Comment: 40 pp, 15 eps figs, mnras style, accepted for publication in MNRAS,
abstract abridged, revisions in response to referee's comment
Renewal, Modulation and Superstatistics
We consider two different proposals to generate a time series with the same
non-Poisson distribution of waiting times, to which we refer to as renewal and
modulation. We show that, in spite of the apparent statistical equivalence, the
two time series generate different physical effects. Renewal generates aging
and anomalous scaling, while modulation yields no aging and either ordinary or
anomalous diffusion, according to the prescription used for its generation. We
argue, in fact, that the physical realization of modulation involves critical
events, responsible for scaling. In conclusion, modulation rather than ruling
out the action of critical events, sets the challenge for their identification
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