[Faculty] Fwd: [CSRC-Colloquium] Micah Schuster and Seethal Paluri

[Jose Castillo]

DATE:  Friday, September 12th, 2014

TITLE:  ***  Operator evolution for ab initio nuclear theory (Micah
Schuster)

            ***  Video Quality Enhancement through Prioritized Packet
Fragmentation and Error Protection (Seethal Paluri)


TIME:  3:30 PM

LOCATION:  GMCS 214

SPEAKER:  Micah Schuster. San Diego State University

                   Seethal Paluri. San Diego State University


*ABSTRACTS:*

(Micah):
The past two decades have seen a revolution in ab initio calculations of
nuclear properties. One key element has been the development of a rigorous
effective interaction theory, applying unitary transformations to soften
the nuclear Hamiltonian and hence accelerate the convergence as a function
of the model space size. For consistency, however, one ought to apply the
same transformation to other operators when calculating transitions and
mean values from the eigenstates of the renormalized Hamiltonian. Working
in a translationally invariant harmonic oscillator basis for the two- and
three-nucleon systems, we evolve the Hamiltonian, square radius, and total
dipole strength operators by the similarity renormalization group (SRG).
The inclusion of up to three-body matrix elements in the 4He nucleus all
but completely restores the invariance of the expectation values under the
transformation.

(Seethal):
We present a real-time priority aware video packet fragmentation and
unequal error protection scheme at the medium access control (MAC) layer
over Rayleigh fading channels. The cumulative mean squared error (CMSE) of
the H.264 AVC encoded slices is predicted using a generalized linear model.
The model was trained using various video factors that impact the quality
of the video during a slice loss. A priority is assigned to each slice
based on its predicted CMSE contribution towards the group-of-pictures
(GOP). The slices of the same priority are aggregated to form MTU sized
video packets. We simulate the fragment error rates for a combination of
rate compatible punctured convolutional (RCPC) code rates and use these
fragment error rates in our optimization to determine the optimal fragment
sizes and code rates. We derive the optimal fragment sizes and the RCPC
code rates for each priority class by minimizing the expected normalized
predicted CMSE of all the priority classes per GOP. We observed a
significant improvement in the received video quality over the traditional
baseline and priority agnostic packet fragmentation schemes.

HOST:  Dr. Jose Castillo

For future events, please visit our website at:

http://www.csrc.sdsu.edu/colloquium.html



-- 

Jose E. Castillo  Ph.D.

Director / Professor

Computational Science Research Center

5500 Campanile Dr

San Diego State University

San Diego CA 92182-1245

619 5947205/3430, Fax 619-594-2459

 http://www.csrc.sdsu.edu/mimetic-book/

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