40,183 research outputs found
A venous occlusion plethysmography using a load cell as the sensing element
An application of the load cell as a sensor in venous occlusion plethysmography is presented. In this method the limb volume changes that follow venous occlusion are converted into water volume changes using a water tank for volume change detection. The hydrostatic pressure, as well as the water surface level, is measured and used for the calculation of the volume change. By using this method the influence of water pressure on limb blood flow, as well as drift and leakage of the sensing element, is avoided. The load cell has the advantage of measuring the weight of the displaced water volume, which simplifies the design principles of the plethysmography. The plethysmography is found to be sensitive, highly linear, and easy to handle. It has been evaluated in several subjects, and the results of these studies are in agreement with earlier results </p
Signal Reconstruction via H-infinity Sampled-Data Control Theory: Beyond the Shannon Paradigm
This paper presents a new method for signal reconstruction by leveraging
sampled-data control theory. We formulate the signal reconstruction problem in
terms of an analog performance optimization problem using a stable
discrete-time filter. The proposed H-infinity performance criterion naturally
takes intersample behavior into account, reflecting the energy distributions of
the signal. We present methods for computing optimal solutions which are
guaranteed to be stable and causal. Detailed comparisons to alternative methods
are provided. We discuss some applications in sound and image reconstruction
Dynamical heterogeneity in a highly supercooled liquid: Consistent calculations of correlation length, intensity, and lifetime
We have investigated dynamical heterogeneity in a highly supercooled liquid
using molecular-dynamics simulations in three dimensions. Dynamical
heterogeneity can be characterized by three quantities: correlation length
, intensity , and lifetime . We evaluated
all three quantities consistently from a single order parameter. In a previous
study (H. Mizuno and R. Yamamoto, Phys. Rev. E {\bf 82}, 030501(R) (2010)), we
examined the lifetime in two time intervals
and , where is the
-relaxation time and is the time at which the
non-Gaussian parameter of the Van Hove self-correlation function is maximized.
In the present study, in addition to the lifetime , we
evaluated the correlation length and the intensity from
the same order parameter used for the lifetime . We
found that as the temperature decreases, the lifetime
grows dramatically, whereas the correlation length and the intensity
increase slowly compared to or plateaus.
Furthermore, we investigated the lifetime in more
detail. We examined the time-interval dependence of the lifetime
and found that as the time interval increases,
monotonically becomes longer and plateaus at the
relaxation time of the two-point density correlation function. At the large
time intervals for which plateaus, the heterogeneous
dynamics migrate in space with a diffusion mechanism, such as the particle
density.Comment: 12pages, 13figures, to appear in Physical Review
Intrinsic double-peak structure of the specific heat in low-dimensional quantum ferrimagnets
Motivated by recent magnetic measurements on A3Cu3(PO4)4 (A=Ca,Sr) and
Cu(3-Clpy)2(N3)2 (3-Clpy=3-Chloropyridine), both of which behave like
one-dimensional ferrimagnets, we extensively investigate the ferrimagnetic
specific heat with particular emphasis on its double-peak structure. Developing
a modified spin-wave theory, we reveal that ferromagnetic and antiferromagnetic
dual features of ferrimagnets may potentially induce an extra low-temperature
peak as well as a Schottky-type peak at mid temperatures in the specific heat.Comment: 5 pages, 6 figures embedded, Phys. Rev. B 65, 214418 (2002
Simulating lattice gauge theories on a quantum computer
We examine the problem of simulating lattice gauge theories on a universal
quantum computer. The basic strategy of our approach is to transcribe lattice
gauge theories in the Hamiltonian formulation into a Hamiltonian involving only
Pauli spin operators such that the simulation can be performed on a quantum
computer using only one and two qubit manipulations. We examine three models,
the U(1), SU(2), and SU(3) lattice gauge theories which are transcribed into a
spin Hamiltonian up to a cutoff in the Hilbert space of the gauge fields on the
lattice. The number of qubits required for storing a particular state is found
to have a linear dependence with the total number of lattice sites. The number
of qubit operations required for performing the time evolution corresponding to
the Hamiltonian is found to be between a linear to quadratic function of the
number of lattice sites, depending on the arrangement of qubits in the quantum
computer. We remark that our results may also be easily generalized to higher
SU(N) gauge theories.Comment: 15 pages, 4 figures, 3 table
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