It is this combination that is likely to produce, with attendant methodology refinements, robust cognitive markers of denial.
In the following, we will describe the strategies followed to parallelize a specific image processing application (the problem of road recognition) using the proposed generic MPSoC design methodology with refinement of a generic parallel architecture model to meet the specific application computation and communication needs.
In the past decade, progress in hardware development, improvement in simulation methodologies and refinement of interaction potentials have rendered the possibility to model increasingly complex processes that were intractable previously (Karplus and Kuriyan, 2005).
A typical methodology for policy refinement is the process of incremental decomposition, wherein at each refinement step (level), the generated policies are checked against the requirements of the policies from previous step for correctness and consistency.
In particular, we show how correctness kernels can be integrated with the well-known CEGAR (CounterExample-Guided Abstraction Refinement) methodology.
An advantage of the iterated refinement methodology is that it makes the method less dependent on the initial dictionary.
The structural modifications at different stages of milling have been characterized in terms of several microstructure parameters like, particle size, microstrains, stacking faults, dislocation density, etc. and quantitative estimations of individual phase have been made by employing Rietveld's powder structure refinement methodology.
This methodology is a refinement of previously used techniques [ 12], adapted from earlier Scion Image methodology [ 10].
Applying this methodology helped various refinements of previous studies, and provided the advantage of inquiry into social vulnerability at census tract scale.
In this paper we propose a new approach for treating such problems based on a dynamically adaptive wavelet methodology involving space-refinement on physical space that allows all scales of each solution component to be refined independently of the rest.
Here, we build on and extend these refinement methodologies to develop an enhanced set of systematic procedures to modify the in vitro metabolic network model of M. tuberculosis iNJ661 [ 15] and develop a network model that is more consistent with in vivo metabolism during the initial eight-week post-infection period.
