7,951 research outputs found
Analysis of multi-layered films
Dye densities of multi-layered films are determined by applying a regression analysis to the spectral response of the composite transparency. The amount of dye in each layer is determined by fitting the sum of the individual dye layer densities to the measured dye densities. From this, dye content constants are calculated. Methods of calculating equivalent exposures are discussed. Equivalent exposures are a constant amount of energy over a limited band-width that will give the same dye content constants as the real incident energy. Methods of using these equivalent exposures for analysis of photographic data are presented
Trophic classification of Tennessee Valley area reservoirs derived from LANDSAT multispectral scanner data
LANDSAT MSS data from four different dates were extracted from computer tapes using a semiautomated digital data handling and analysis system. Reservoirs were extracted from the surrounding land matrix by using a Band 7 density level slice of 3; and descriptive statistics to include mean, variance, and ratio between bands for each of the four bands were calculated. Significant correlations ( 0.80) were identified between the MSS statistics and many trophic indicators from ground truth water quality data collected at 35 reservoirs in the greater Tennessee Valley region. Regression models were developed which gave significant estimates of each reservoir's trophic state as defined by its trophic state index and explained in all four LANDSAT frames at least 85 percent of the variability in the data. To illustrate the spatial variations within reservoirs as well as the relative variations between reservoirs, a table look up elliptical classification was used in conjunction with each reservoir's trophic state index to classify each reservoir on a pixel by pixel basis and produce color coded thematic representations
Vortex-glass transition in superconducting Nb/Cu superlattices
Nb/Cu superconducting superlattices have been fabricated by dc magnetron
sputtering. This system shows a vortex glass transition with critical exponents
similar to high temperatures superconductors exponents. The transition
dymensionality is governed by the superconducting coupling regime. The vortex
glass transition shows a pure two dimensional behavior in decoupled
superlattices and a quasi-two dimensional behavior in the superlattice coupling
regime.Comment: 9 pages, 3 figure
Measurement of High Resolution γ-Ray Production Cross Sections in Inelastic Neutron Scattering on Al and Fe between 0.8 and 13 MeV
Revisiting Digital Straight Segment Recognition
This paper presents new results about digital straight segments, their
recognition and related properties. They come from the study of the
arithmetically based recognition algorithm proposed by I. Debled-Rennesson and
J.-P. Reveill\`es in 1995 [Debled95]. We indeed exhibit the relations
describing the possible changes in the parameters of the digital straight
segment under investigation. This description is achieved by considering new
parameters on digital segments: instead of their arithmetic description, we
examine the parameters related to their combinatoric description. As a result
we have a better understanding of their evolution during recognition and
analytical formulas to compute them. We also show how this evolution can be
projected onto the Stern-Brocot tree. These new relations have interesting
consequences on the geometry of digital curves. We show how they can for
instance be used to bound the slope difference between consecutive maximal
segments
Simple model for 1/f noise
We present a simple stochastic mechanism which generates pulse trains
exhibiting a power law distribution of the pulse intervals and a
power spectrum over several decades at low frequencies with close to
one. The essential ingredient of our model is a fluctuating threshold which
performs a Brownian motion. Whenever an increasing potential hits the
threshold, is reset to the origin and a pulse is emitted. We show that
if increases linearly in time, the pulse intervals can be approximated
by a random walk with multiplicative noise. Our model agrees with recent
experiments in neurobiology and explains the high interpulse interval
variability and the occurrence of noise observed in cortical
neurons and earthquake data.Comment: 4 pages, 4 figure
- …