Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2007-10-20
2010-11-30
Phan, Thai (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C703S014000, C703S022000, C455S063100, C455S500000, C709S224000
Reexamination Certificate
active
07844423
ABSTRACT:
Channel access delays and reception uncertainty are modeled as protocol-independent generic processes that are optimized for improved simulation performance. The generic process components are designed such that each different protocol can be modeled using an arrangement of these components that is specific to the protocol. In this way, speed and/or accuracy improvements to the generic process components are reflected in each of such protocol models. If an accurate analytic model is not available for the generic process component, a prediction engine, such as a neural network, is preferably used. The prediction engine is trained using the existing detailed models of network devices. Once trained, the prediction engine is used to model the generic process, and the protocol model that includes the generic component is used in lieu of the detailed models, thereby saving substantial processing time.
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Boyd David James
Chandrashekar Karthikeyan
Cohen Alain J.
Janes Paul M.
Moral Ibrahim Utku
McDermott, Esq. R. M.
OPNET Technologies Inc
Phan Thai
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