sensors
Article
A Robust Dynamic Heart-Rate Detection Algorithm
Framework During Intense Physical Activities Using
Photoplethysmographic Signals
Jiajia Song 1,2 , Dan Li 2, *, Xiaoyuan Ma 2,3 , Guowei
Sensors 2012, 12, 6075-6101; doi:10.3390/s120506075
OPEN ACCESS
sensors
ISSN 1424-8220
www.mdpi.com/journal/sensors
Article
A Stress Sensor Based on Galvanic Skin Response (GSR)
Controlled by ZigBee
M
Whats your current stress level?
Detection of stress patterns from GSR sensor data
Jorn Bakker, Mykola Pechenizkiy, Natalia Sidorova
Department of Computer Science
Eindhoven University of Technology
E
Feature Identication: A Novel Approach and a Case Study
Giuliano Antoniol1,3
Yann-Gael Gueheneuc3
1
RCOST, University of Sannio, Italy
2
GEODES, DIRO, University of Montreal, Canada
3
Department de Ge
Stress Detection from Speech and Galvanic Skin Response Signals
Hindra Kurniawan1 , Alexandr V. Maslov1,2 , Mykola Pechenizkiy1
1
Department of Computer Science, TU Eindhoven, the Netherlands
hindra.k
2010 International Symposium on Intelligence Information Processing and Trusted Computing
The analysis of emotion recognition from GSR based on PSO
Guanghua Wu
Guangyuan Liu, Min Hao
School of Electro
131-C04 A-U
Arthur M. Blank Center
for Entrepreneurship
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ImageCaf
Staying Afloat
With h
due to its property including the spinodal instability and the dynamic phase transition.
The inflation decays into the thermal field by which the reheating process can start during
the expansion of t
+
cos + sin
(56)
where = a2,
=
(57)
tan =
(58)
and
=
()()
(59)
with
=
cos + sin
(60)
In order to examine under which condition a sample can be considered as a thermally thin
and thick s
Whether the motion of electrons along wandering magnetic field lines or the dynamical
mixing induced by turbulence is more important depends on the ratio of eddy velocity to
the sonic one, the ratio o
2011]:
=
=2
(73)
Fig. 5 shows a kind of Heisler Plot [Heisler, 1947] of the percentile error associated to the
thermally thick approximation as a function of the samples thickness using a typical va
frequency, f.
Time Varying Heat Conduction in Solids 187
Using this schema Lima et al [Lima et al., 2006);] and Marn et al [Marin et al., 2010)] have
measured the PA signal as a function of the modula
logarithmic factor in Eq. (1) is of the order of 30, and this causes 30 times decrease of thermal
conductivity for the single-scale models 13.
The single-scale "turbulent model" is just a toy model to
(9)
When combined with the law of energy conservation for the heat flux
= div() + (10)
where Q represents the internal heat source and
E/t = cT/t (11)
is the temporal change in internal energy, E, f
() =
1
4
exp
4
. (14)
Thus Eqs. (11) and (14) reproduce the solution of the problem, Eq. (2).
What is described above is the simple and essential scenario of the approach in terms of selfsimilar
sol
Although this can be a disadvantage, often available specific heat data are used, so that it is
not always necessary to determine experimentally it in order to account for the thermal
conductivity. Th
.
SubAlfvenic turbulence:
On scales larger than ltr, the turbulence is weak. The mean deviation of a field in a distance z
is given by Lazarian (2006):
< (x)2 >1/2=
[z]3/2
33/2L1/2 M2
A, MA < 1. (15)
For weak turbulence d_y2_/dx LM4
A (LV99) and thus
_y2_1/2 L1/2x1/2M2
A, l > ltrans. (7)
Fig. 5 confirms the correctness of the above scaling numerically.
Eq. (6) differs by the factor M2
A from that
velocities resulting from large-scale shear VL(lA/L) VLM3
A.
For the regions of B 1 G the value of lA is smaller than the mean free path of electrons
. According to Eq. (4) the value of electr is 100
generic framework to describe magnetic reconnection. The upper panel of Figure 1 illustrates
why reconnection is so slow in the textbook Sweet-Parker model. Indeed, the model considers
magnetic fields
are in a nonthermodynamical regime, although the concepts of thermodynamics are often
used for the description of heat transport in them. To the authors knowledge there is no yet
a comprehensible and
two processes in 8. Finally, we discuss heat transfer on scales smaller than the turbulence
injection scale in 9 and provide final remarks in 10.
3. Magnetized turbulent astrophysical media
Astrophysi
Fig. 1. The relationship among mechanical, electrical, and thermal fields.
The most widely used smart materials are piezoelectric ceramics, which expand or contract
when voltage is applied. Pyroelectr
he represented analogous results for complex fields which are characterized by the pair of
complex vector fields. On the basis of the results, the Lagrangian density and Umov vector
were derived. At t
exhaled when the outer layers of the skin are heated or evaporated from ice when it is
heated by a warmer hand). This time can be calculated following a straightforward
calculation starting from Eq. (
(28)
The full-field distributions of the temperature (28) and the components of corresponding
heat flux are depicted in Fig. 1 for y0 1 . Distribution of the temperature (28) versus the
Fig. 1. Full-
(), both depending on time,
() =
4
,
() = , (4)
such that the spatial distribution of temperature, when expressed in these scales, ceases to
depend on time at least in appearance:
= () , () = exp
4
,