10,288 research outputs found
El reto de vincular reputación online de destinos turÃsticos con competitividad
The aim of this study is to evidence how 2.0 conversations in social media impact the reputation of destinations. Additionally, the influence of co-creation practices is analysed. The five most competitive destinations worldwide have been chosen for the research. This paper demonstrates that monitoring social media is a challenge in tourism and is a strategic tool to support process decision making and for destination brand building in a sustainable way. Currently, there are several monitoring and analytic tools, but there is a lack of models to systematise and harness it for the Destination Management Organization (DMOs). In conclusion, how tourists play the main role in the competitiveness of Destinations with their experiences and opinions are considered, along with some keys for successful management of social media are given in the view of the results.info:eu-repo/semantics/publishedVersio
Machine learning of hierarchical clustering to segment 2D and 3D images
We aim to improve segmentation through the use of machine learning tools
during region agglomeration. We propose an active learning approach for
performing hierarchical agglomerative segmentation from superpixels. Our method
combines multiple features at all scales of the agglomerative process, works
for data with an arbitrary number of dimensions, and scales to very large
datasets. We advocate the use of variation of information to measure
segmentation accuracy, particularly in 3D electron microscopy (EM) images of
neural tissue, and using this metric demonstrate an improvement over competing
algorithms in EM and natural images.Comment: 15 pages, 8 figure
The inception of Symplectic Geometry: the works of Lagrange and Poisson during the years 1808-1810
The concept of a symplectic structure first appeared in the works of Lagrange
on the so-called "method of variation of the constants". These works are
presented, together with those of Poisson, who first defined the composition
law called today the "Poisson bracket". The method of variation of the
constants is presented using today's mathematical concepts and notations.Comment: Presented at the meeting "Poisson 2008" in Lausanne, July 2008.
Published in Letters in Mathematical Physics. 22 page
Ultrafast electroabsorption dynamics in an InAs quantum dot saturable absorber at 1.3 mu m
The authors report a direct measurement of the absorption dynamics in an InAs p-i-n ridge waveguide quantum dot modulator. The carrier escape mechanisms are investigated via subpicosecond pump-probe measurements at room temperature, under reverse bias conditions. The optical pulses employed are degenerate in wavelength with the quantum dot ground state transition at 1.28 mu m. The absorption change recovers with characteristic times ranging from 62 ps (0 V) to similar to 700 fs (-10 V), showing a decrease of nearly two orders of magnitude. The authors show that at low applied fields, this recovery is attributed to thermionic emission while for higher applied fields, tunneling becomes the dominant mechanism. (c) 2006 American Institute of Physics.</p
Improving wear performance of wind turbine gearboxes using ionic liquids as additives of lubricants
Wind resources are a proven source of clean, affordable and sustainable energy.
Wind energy does not produce harmful pollution gases such carbon dioxide, sulphur
dioxide, or other gases that have contributed to global warming. The wind energy
industry has seen rapid growth within the last decade; however the cost of
maintaining the turbines is a major drawback. Wind turbine gearboxes present one of
the more challenging current practical tribological problems. Contact failures in gear
and bearing components have been the source of costly repairs and downtime of the
turbine’s drivetrain and actuator. A potential solution to reduce contact failures in
wind turbines and increase their lifespan, is the use of ionic liquids (IL) as lubricant or
additives of lubricants. ILs have the ability to form stable ordered layers on the
contact area between the materials, reducing friction and wear.
In this work, the wear behavior of trihexyltetradecylphosphonium
bis(trifluoromethylsulfonyl) amide used as additive in two oils is studied and
compared to commercially available, fully formulated lubricant. Lubricated disks of
steel AISI 52100 mated with AISI 440C stainless steel balls are studied using a ballon-
flat reciprocating configuration under variable conditions of normal applied load
and sliding frequency. The use of the IL as additive in a base oil reduce wear,
particularly under the lowest frequency studied.The authors acknowledge financial support from New York State Pollution
Prevention Institute (NYSP2I 2013)-Increasing the Reliability and Efficiency of
Wind Turbines by Reducing Gearbox Friction and Wear
Application of the S=1 underscreened Anderson lattice model to Kondo uranium and neptunium compounds
Magnetic properties of uranium and neptunium compounds showing the
coexistence of Kondo screening effect and ferromagnetic order are investigated
within the Anderson lattice Hamiltonian with a two-fold degenerate -level in
each site, corresponding to electronic configuration with spins. A
derivation of the Schrieffer-Wolff transformation is presented and the
resulting Hamiltonian has an effective -band term, in addition to the
regular exchange Kondo interaction between the -spins and the
spins of the conduction electrons. The obtained effective Kondo lattice model
can describe both the Kondo regime and a weak delocalization of -electron.
Within this model we compute the Kondo and Curie temperatures as a function of
model parameters, namely the Kondo exchange interaction constant , the
magnetic intersite exchange interaction and the effective -bandwidth.
We deduce, therefore, a phase diagram of the model which yields the coexistence
of Kondo effect and ferromagnetic ordering and also accounts for the pressure
dependence of the Curie temperature of uranium compounds such as UTe.Comment: 9 pages, 4 figure
- …