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Implementation of Fog computing for reliable E-health applications

2015
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2015 49th Asilomar Conference on Signals, Systems and Computers
*

Finally, we will provide 'structured' CS algorithms

doi:10.1109/acssc.2015.7421170
dblp:conf/acssc/CraciunescuMMKP15
fatcat:qm6mki5z6bcvrfimkmqjyrxaxm
*for*the joint*estimation*scheme and evaluate its performance. ... The resulting system is highly robust against timing misalignment while attaining high*spectral*efficiency. Machine-type communications is seen as one of the main drivers of 5G. ... MP5a-3 2:20 PM*Multitapered**Power**Spectral**Density**Estimation**for**Co*-*Prime**Sensor**Arrays*Ian Rooney, John Buck, University of Massachusetts Dartmouth, United States Thomson's*multitaper*method reduces ...##
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Ping-pong beam training for reciprocal channels with delay spread

2015
*
2015 49th Asilomar Conference on Signals, Systems and Computers
*

A distributed consensus algorithm

doi:10.1109/acssc.2015.7421451
dblp:conf/acssc/CarvalhoA15
fatcat:mqokuvnh3zg45licnfbgxyvxfu
*for**estimating*the number of nodes in a wireless*sensor*network in the presence of communication noise is proposed. ... We show that there is a trade-off between the*estimation*error and the storage at each node: a more accurate*estimate*requires larger storage at each*sensor*node. ... MP5a-3 2:20 PM*Multitapered**Power**Spectral**Density**Estimation**for**Co*-*Prime**Sensor**Arrays*Ian Rooney, John Buck, University of Massachusetts Dartmouth, United States Thomson's*multitaper*method reduces ...##
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Sensorimotor Alpha Activity is Modulated in Response to the Observation of Pain in Others

2011
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Frontiers in Human Neuroscience
*

*For*every grid point a spatial filter was constructed from the cross-

*spectral*

*density*matrix and the lead field. ... We calculated the cross-

*spectral*

*density*matrix based upon both the post-stimulus (200-1400 ms) as well as pre-stimulus (1400-200 ms pre-stimulus) interval to obtain the most accurate

*estimation*of the ...

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Multiple Reference Frames in Cortical Oscillatory Activity during Tactile Remapping for Saccades

2011
*
Journal of Neuroscience
*

The gaze-centered representation in PPC was sustained in a high gamma range (85-115 Hz) and increased in

doi:10.1523/jneurosci.3404-11.2011
pmid:22090512
pmcid:PMC6633300
fatcat:lcojywg2mbb47gsffcxvxyhjqu
*power*closer to the initiation of the saccade. ... We conclude that oscillatory activity reflects the time-varying coding of information in body- and gaze-centered reference frames during tactile remapping*for*saccades. ...*For*every single subject, the source*power*was*estimated*relative to the same baseline interval that was used*for*the corresponding*sensor*-level analysis. ...##
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The differentiated networks related to essential tremor onset and its amplitude modulation after alcohol intake

2017
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Experimental Neurology
*

*For*that, we contrasted ET with voluntary (mimicked) tremor before and after ingestion of alcohol to regulate the tremorgenic networks. ... We sought to discriminate the contributions of cerebral and cerebellar dysregulation by combining high-

*density*electroencephalography with subject-specific structural MRI. ...

*Spectral*analyses

*Power*spectra and cross-spectra were computed using Thomson's

*multitaper*method (Mitra and Pesaran, 1999; Thomson, 1982) . ...

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Maximum Likelihood Estimation
[chapter]

2012
*
Essential Mathematics for Market Risk Management
*

Figure 7 . 9 : 79 Different

doi:10.1002/9781118467213.ch16
fatcat:dsyxxsptl5fzzmh6fepwktzrhi
*arrays*of*sensors*used in the simulations. ... Cross*Spectral**Density*Just as the*Power**Spectral**Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross*Spectral**Density*(CSD) as the Fourier transform of the cross-covariance ... This allows*for*classification using arbitrary decision boundaries. There is no closed form*for*the parameters w, but they can be*estimated*using an optimisation algorithm as described in [6] . ...##
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Maximum Likelihood Estimation
[chapter]

2008
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Studying Human Populations
*

Figure 7 . 9 : 79 Different

doi:10.1007/978-0-387-73251-0_2
fatcat:cgdl2f4qk5furgmq56hi4jt3sm
*arrays*of*sensors*used in the simulations. ... Cross*Spectral**Density*Just as the*Power**Spectral**Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross*Spectral**Density*(CSD) as the Fourier transform of the cross-covariance ... This allows*for*classification using arbitrary decision boundaries. There is no closed form*for*the parameters w, but they can be*estimated*using an optimisation algorithm as described in [6] . ...##
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Maximum Likelihood Estimation
[chapter]

2000
*
Statistical Methods for Categorical Data Analysis
*

Figure 7 . 9 : 79 Different

doi:10.1016/b978-012563736-7/50009-4
fatcat:hg7m25nkwvf6dahagr5smrayr4
*arrays*of*sensors*used in the simulations. ... Cross*Spectral**Density*Just as the*Power**Spectral**Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross*Spectral**Density*(CSD) as the Fourier transform of the cross-covariance ... This allows*for*classification using arbitrary decision boundaries. There is no closed form*for*the parameters w, but they can be*estimated*using an optimisation algorithm as described in [6] . ...##
###
Maximum Likelihood Estimation
[chapter]

2013
*
Methods of Statistical Model Estimation
*

*arrays*of

*sensors*used in the simulations. ... Cross

*Spectral*

*Density*Just as the

*Power*

*Spectral*

*Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross

*Spectral*

*Density*(CSD) as the Fourier transform of the cross-covariance ... This allows

*for*classification using arbitrary decision boundaries. There is no closed form

*for*the parameters w, but they can be

*estimated*using an optimisation algorithm as described in [6] . ...

##
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Maximum Likelihood Estimation
[chapter]

2000
*
Handbook of Statistical Analyses Using Stata, Fourth Edition
*

*arrays*of

*sensors*used in the simulations. ... Cross

*Spectral*

*Density*Just as the

*Power*

*Spectral*

*Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross

*Spectral*

*Density*(CSD) as the Fourier transform of the cross-covariance ... This allows

*for*classification using arbitrary decision boundaries. There is no closed form

*for*the parameters w, but they can be

*estimated*using an optimisation algorithm as described in [6] . ...

##
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Maximum Likelihood Estimation
[chapter]

2009
*
Statistics: A Series of Textbooks and Monographs
*

*arrays*of

*sensors*used in the simulations. ... Cross

*Spectral*

*Density*Just as the

*Power*

*Spectral*

*Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross

*Spectral*

*Density*(CSD) as the Fourier transform of the cross-covariance ... This allows

*for*classification using arbitrary decision boundaries. There is no closed form

*for*the parameters w, but they can be

*estimated*using an optimisation algorithm as described in [6] . ...

##
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Maximum Likelihood Estimation
[chapter]

2003
*
Handbook of Statistical Analyses Using Stata, Fourth Edition
*

*arrays*of

*sensors*used in the simulations. ... Cross

*Spectral*

*Density*Just as the

*Power*

*Spectral*

*Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross

*Spectral*

*Density*(CSD) as the Fourier transform of the cross-covariance ... This allows

*for*classification using arbitrary decision boundaries. There is no closed form

*for*the parameters w, but they can be

*estimated*using an optimisation algorithm as described in [6] . ...

##
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Maximum Likelihood Estimation
[chapter]

1991
*
Order Statistics and Inference
*

*arrays*of

*sensors*used in the simulations. ... Cross

*Spectral*

*Density*Just as the

*Power*

*Spectral*

*Density*(PSD) is the Fourier transform of the auto-covariance function we may define the Cross

*Spectral*

*Density*(CSD) as the Fourier transform of the cross-covariance ... This allows

*for*classification using arbitrary decision boundaries. There is no closed form

*for*the parameters w, but they can be

*estimated*using an optimisation algorithm as described in [6] . ...

##
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Theory and Observations: Normal Mode and Surface Wave Observations
[chapter]

2015
*
Treatise on Geophysics
*

We hope to convey to the reader some of the excitement a mode seismologist experiences still today when encountering the occasional beautiful set of time series that she or he may have to wait

doi:10.1016/b978-0-444-53802-4.00003-8
fatcat:ndynpk2gmrfgheeeo4cj7izeku
*for**for*... We describe some of the analysis tools and applications and give examples*for*cases that we have personally been involved in. ... Figure 28 . 28 (a) Beam*power*distribution of Rayleigh wave background between 5 and 8 mHz*estimated*from vertical component recordings of a nine station*array*in central Europe. ...##
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Field Programmable Gate Array Applications—A Scientometric Review

2019
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Computation
*

Field Programmable Gate

doi:10.3390/computation7040063
fatcat:wxtatzsvvnfopghdfl25hcfc2a
*Array*(FPGA) is a general purpose programmable logic device that can be configured by a customer after manufacturing to perform from a simple logic gate operations to complex systems ... These publications show the vast range of applications based on FPGAs, from the new mechanism that enables the magnetic suspension system*for*the kilogram redefinition, to the Mars rovers' navigation systems ... FPGA-Based Neural network*for*simulation of photovoltaic*array*: application*for**estimating*the output*power*generation. ...
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