11,570 research outputs found
Tourism curriculum in the University Sector: Does it meet future requirements? Evidence from Australia
In the contemporary competitive and globally connected marketplace, factors that guaranteed business success in the past may be of limited relevance in the future. Within the paradigms of today’s business, many successful operators continually introduce new products and services to maintain their market leadership position. Whilst firms in the tourism industry seek to maintain competitive position through policy planning, strategic marketing, budgeting and R&D, tourism education providers occupy a key position by seeking to enhance the skill levels of management and employees, both present and future. This paper reviews some Australian tourism and hospitality education programmes and course curriculum and briefly compares them with some trends in other English-speaking countries. The research explores tourism industry demand, trainees’ expectations and additionally identifies gaps and opportunities for the future curriculum content. The findings may, therefore, assist tourism programme providers with a broader perspective with which to shape future tourism courses
Deepening China-Taiwan Relations through the Economic Cooperation Framework Agreement
On June 13, 2010, representatives from China and Taiwan held a third round of talks in Beijing on an Economic Cooperation Framework Agreement (ECFA) that would liberalize important aspects of cross-Strait economic relations. It is clear from available details that ECFA will be an ambitious accord that fundamentally changes the game between Taiwan and China and hence affects the regional economy and even the transpacific tempo for the United States. Rosen and Wang's economic projections of the effects of a China-Taiwan ECFA point to significant benefits of cross-Strait economic reform, especially for Taiwan, which would increase its 2020 GDP by about 4.5 percent, or $21 billion, from the current trend line. The authors, however, also conclude that the regional economy around China and Taiwan is not standing still but is extraordinarily dynamic. Other agreements in the region will be negotiated (e.g., ASEAN+3), which will impose costs on Taiwan, if it does not do an ECFA, to the tune of almost -0.8 percent of GDP. So the net effect of ECFA for Taiwan would be some 5.3 percent improvement in GDP by 2020. For China, the net results of ECFA are positive, though far less so than for Taiwan in value terms and of course as a share of GDP. For the United States, the authors project a very modest positive result from ECFA (though statistically marginal) but a more negative impact as the scenarios incorporating further Asian integration (ASEAN + 3) unfold. If the US objective is to maximize Taiwan's economic prospects and hence its freedom of independent action, then ECFA is highly desirable, and Taiwan's involvement in further Asian deepening is to be supported. However, US economic interests per se erode as Asia draws tighter together without US inclusion. That is an econometric reality. More significant still is the geoeconomic, qualitative implication of even long-standing nemeses China and Taiwan drawing together in a free trade pact while the United States watches, unable to ratify already negotiated Asian trade agreements like the US-Korea free trade agreement. While modest in global economic effects, the geoeconomic implications of a China-Taiwan economic pact are significant enough to demand strategic attention from the United States and underscore the importance of securing US economic engagement of the first order in Asia.
Spatial-Spectral Joint Detection for Wideband Spectrum Sensing in Cognitive Radio Networks
Spectrum sensing is an essential functionality that enables cognitive radios
to detect spectral holes and opportunistically use under-utilized frequency
bands without causing harmful interference to primary networks. Since
individual cognitive radios might not be able to reliably detect weak primary
signals due to channel fading/shadowing, this paper proposes a cooperative
wideband spectrum sensing scheme, referred to as spatial-spectral joint
detection, which is based on a linear combination of the local statistics from
spatially distributed multiple cognitive radios. The cooperative sensing
problem is formulated into an optimization problem, for which suboptimal but
efficient solutions can be obtained through mathematical transformation under
practical conditions.Comment: To appear in the Proceedings of the 2008 IEEE International
Conference on Acoustics, Speech and Signal Processing, Las Vegas, NV, March
30-April 4, 200
Wideband Spectrum Sensing in Cognitive Radio Networks
Spectrum sensing is an essential enabling functionality for cognitive radio
networks to detect spectrum holes and opportunistically use the under-utilized
frequency bands without causing harmful interference to legacy networks. This
paper introduces a novel wideband spectrum sensing technique, called multiband
joint detection, which jointly detects the signal energy levels over multiple
frequency bands rather than consider one band at a time. The proposed strategy
is efficient in improving the dynamic spectrum utilization and reducing
interference to the primary users. The spectrum sensing problem is formulated
as a class of optimization problems in interference limited cognitive radio
networks. By exploiting the hidden convexity in the seemingly non-convex
problem formulations, optimal solutions for multiband joint detection are
obtained under practical conditions. Simulation results show that the proposed
spectrum sensing schemes can considerably improve the system performance. This
paper establishes important principles for the design of wideband spectrum
sensing algorithms in cognitive radio networks
Some new applications for heat and fluid flows via fractional derivatives without singular kernel
This paper addresses the mathematical models for the heat-conduction
equations and the Navier-Stokes equations via fractional derivatives without
singular kernel.Comment: This is a preprint of a paper whose final and definite form will be
published in Thermal Science. Paper Submitted 28/ Dec /2016; Revised
20/Jan/2016; Accepted for publication 21/Jan/201
Is the meson dynamically generated?
We study the problem whether the meson is generated `dynamically'. A
pedagogical analysis on the toy O(N) linear sigma model is performed and we
find that the large limit and the limit does not
commute. The sigma meson may not necessarily be described as a dynamically
generated resonance. On the contrary, the sigma meson may be more appropriately
described by considering it as an explicit degree of freedom in the effective
lagrangian.Comment: Contribution to ``Quark Confinement and Hadron Spectrum VII'', 2--7
Sept. 2006, Ponta Delgada, Acores, Portuga
Spectrum sensing by cognitive radios at very low SNR
Spectrum sensing is one of the enabling functionalities for cognitive radio
(CR) systems to operate in the spectrum white space. To protect the primary
incumbent users from interference, the CR is required to detect incumbent
signals at very low signal-to-noise ratio (SNR). In this paper, we present a
spectrum sensing technique based on correlating spectra for detection of
television (TV) broadcasting signals. The basic strategy is to correlate the
periodogram of the received signal with the a priori known spectral features of
the primary signal. We show that according to the Neyman-Pearson criterion,
this spectral correlation-based sensing technique is asymptotically optimal at
very low SNR and with a large sensing time. From the system design perspective,
we analyze the effect of the spectral features on the spectrum sensing
performance. Through the optimization analysis, we obtain useful insights on
how to choose effective spectral features to achieve reliable sensing.
Simulation results show that the proposed sensing technique can reliably detect
analog and digital TV signals at SNR as low as -20 dB.Comment: IEEE Global Communications Conference 200
Tilt grain boundary instabilities in three dimensional lamellar patterns
We identify a finite wavenumber instability of a 90 tilt grain
boundary in three dimensional lamellar phases which is absent in two
dimensional configurations. Both a stability analysis of the slowly varying
amplitude or envelope equation for the boundary, and a direct numerical
solution of an order parameter model equation are presented. The instability
mode involves two dimensional perturbations of the planar base boundary, and is
suppressed for purely one dimensional perturbations. We find that both the most
unstable wavenumbers and their growth rate increase with , the
dimensionless distance away from threshold of the lamellar phase.Comment: 11 pages, 7 figures, to be published in Phys. Rev.
Majority-vote model on hyperbolic lattices
We study the critical properties of a non-equilibrium statistical model, the
majority-vote model, on heptagonal and dual heptagonal lattices. Such lattices
have the special feature that they only can be embedded in negatively curved
surfaces. We find, by using Monte Carlo simulations and finite-size analysis,
that the critical exponents , and are different
from those of the majority-vote model on regular lattices with periodic
boundary condition, which belongs to the same universality class as the
equilibrium Ising model. The exponents are also from those of the Ising model
on a hyperbolic lattice. We argue that the disagreement is caused by the
effective dimensionality of the hyperbolic lattices. By comparative studies, we
find that the critical exponents of the majority-vote model on hyperbolic
lattices satisfy the hyperscaling relation
, where is an
effective dimension of the lattice. We also investigate the effect of boundary
nodes on the ordering process of the model.Comment: 8 pages, 9 figure
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