11,229 research outputs found
Exploring Task Mappings on Heterogeneous MPSoCs using a Bias-Elitist Genetic Algorithm
Exploration of task mappings plays a crucial role in achieving high
performance in heterogeneous multi-processor system-on-chip (MPSoC) platforms.
The problem of optimally mapping a set of tasks onto a set of given
heterogeneous processors for maximal throughput has been known, in general, to
be NP-complete. The problem is further exacerbated when multiple applications
(i.e., bigger task sets) and the communication between tasks are also
considered. Previous research has shown that Genetic Algorithms (GA) typically
are a good choice to solve this problem when the solution space is relatively
small. However, when the size of the problem space increases, classic genetic
algorithms still suffer from the problem of long evolution times. To address
this problem, this paper proposes a novel bias-elitist genetic algorithm that
is guided by domain-specific heuristics to speed up the evolution process.
Experimental results reveal that our proposed algorithm is able to handle large
scale task mapping problems and produces high-quality mapping solutions in only
a short time period.Comment: 9 pages, 11 figures, uses algorithm2e.st
Nuclear quantum shape-phase transitions in odd-mass systems
Microscopic signatures of nuclear ground-state shape phase transitions in
odd-mass Eu isotopes are explored starting from excitation spectra and
collective wave functions obtained by diagonalization of a core-quasiparticle
coupling Hamiltonian based on energy density functionals. As functions of the
physical control parameter -- the number of nucleons -- theoretical low-energy
spectra, two-neutron separation energies, charge isotope shifts, spectroscopic
quadrupole moments, and reduced transition matrix elements accurately
reproduce available data, and exhibit more pronounced discontinuities at
neutron number , compared to the adjacent even-even Sm and Gd isotopes.
The enhancement of the first-order quantum phase transition in odd-mass systems
can be attributed to a shape polarization effect of the unpaired proton which,
at the critical neutron number, starts predominantly coupling to Gd core nuclei
that are characterized by larger quadrupole deformation and weaker proton
pairing correlations compared to the corresponding Sm isotopes.Comment: 6 pages, 4 figure
Global analysis of quadrupole shape invariants based on covariant energy density functionals
Coexistence of different geometric shapes at low energies presents a
universal structure phenomenon that occurs over the entire chart of nuclides.
Studies of the shape coexistence are important for understanding the
microscopic origin of collectivity and modifications of shell structure in
exotic nuclei far from stability. The aim of this work is to provide a
systematic analysis of characteristic signatures of coexisting nuclear shapes
in different mass regions, using a global self-consistent theoretical method
based on universal energy density functionals and the quadrupole collective
model. The low-energy excitation spectrum and quadrupole shape invariants of
the two lowest states of even-even nuclei are obtained as solutions of
a five-dimensional collective Hamiltonian (5DCH) model, with parameters
determined by constrained self-consistent mean-field calculations based on the
relativistic energy density functional PC-PK1, and a finite-range pairing
interaction. The theoretical excitation energies of the states: ,
, , , , as well as the
values, are in very good agreement with the corresponding experimental values
for 621 even-even nuclei. Quadrupole shape invariants have been implemented to
investigate shape coexistence, and the distribution of possible
shape-coexisting nuclei is consistent with results obtained in recent
theoretical studies and available data. The present analysis has shown that,
when based on a universal and consistent microscopic framework of nuclear
density functionals, shape invariants provide distinct indicators and reliable
predictions for the occurrence of low-energy coexisting shapes. This method is
particularly useful for studies of shape coexistence in regions far from
stability where few data are available.Comment: 13 pages, 3 figures, accepted for publication in Phys. Rev.
Ultrasound increases the aqueous extraction of phenolic compounds with high antioxidant activity from olive pomace
Olive pomace is a waste produced by the olive oil industry in massive quantities each year. Disposal of olive pomace is difficult due to high concentrations of phenolic compounds, which is an environmental concern. However, phenolic compounds have applications in the health industry. Therefore, extraction of phenolic compounds from olive pomace has the potential to remove an environmentally hazardous portion of pomace while creating an additional source of income for farmers and producers. Using advanced technologies including Ultrasound Assisted Extraction (UAE), combined with water as an extraction solvent, has recently gained popularity. The present study outlines the optimal UAE conditions for the extraction of phenolic compounds with high antioxidant activity from olive pomace. Optimal conditions were developed using RSM for parameters power, time and sample-to-solvent ratio. Total phenolic compounds determined by Folin Ciocalteu method and total major bioactive compounds determined by HPLC as well as antioxidant capacity (DPPH and CUPRAC) were investigated. The optimal conditions for the extraction of phenolic compounds with high antioxidant activity were 2 g of dried pomace/100 mL of water at 250 W power for 75 min. UAE improved the extraction efficiency of water and yielded extracts with high levels of phenolic compounds and strong antioxidant activity
Work and information processing in a solvable model of Maxwell's demon
We describe a minimal model of an autonomous Maxwell demon, a device that
delivers work by rectifying thermal fluctuations while simultaneously writing
information to a memory register. We solve exactly for the steady-state
behavior of our model, and we construct its phase diagram. We find that our
device can also act as a "Landauer eraser", using externally supplied work to
remove information from the memory register. By exposing an explicit,
transparent mechanism of operation, our model offers a simple paradigm for
investigating the thermodynamics of information processing by small systems.Comment: Main Text (6 pages, 3 figures) + Suppl. Info. (3 pages). To appear in
PNA
Bond distortion effects and electric orders in spiral multiferroic magnets
We study in this paper bond distortion effect on electric polarization in
spiral multiferroic magnets based on cluster and chain models. The bond
distortion break inversion symmetry and modify the - hybridization.
Consequently, it will affect electric polarization which can be divided into
spin-current part and lattice-mediated part. The spin-current polarization can
be written in terms of and
the lattice-mediated polarization exists only when the M-O-M bond is distorted.
The electric polarization for three-atom M-O-M and four-atom M-O-M
clusters is calculated. We also study possible electric ordering in three kinds
of chains made of different clusters. We apply our theory to multiferroics
cuprates and find that the results are in agreement with experimental
observations.Comment: 14 pages, 11 figure
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