TITLE:

Operator evolution for ab initio nuclear theory (Micah Schuster)

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

DATE:

Friday, September 12th, 2014

TIME:

3:30 PM

LOCATION:

GMCS 214

SPEAKER:

Seethal Paluri and Micah Schuster. San Diego State University

ABSTRACT:

(Micah Schuster) 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 Paluri)

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

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