2014 Real time project Dot net !!! "APPEARANCE CAPTURE"

"This Application introduces a platform for online Sensitivity Analysis (SA) that
is applicable in large scale real-time data acquisition (DAQ) systems. Here, we
use the term real-time in the context of a system that has to respond to externally
generated input stimuli within a finite and specified period. Complex industrial
systems such as manufacturing, healthcare, transport, and finance require highquality
information on which to base timely responses to events occurring in
their volatile environments. The motivation for the proposed Event Tracker
platform is the assumption that modern industrial systems are able to capture
data in real-time and have the necessary technological flexibility to adjust to
changing system requirements. The flexibility to adapt can only be assured if
data is succinctly interpreted and translated into corrective actions in a timely
manner. An important factor that facilitates data interpretation and information
modeling is an appreciation of the affect system inputs have on each output at
the time of occurrence. Many existing sensitivity analysis methods appear to
hamper efficient and timely analysis due to a reliance on historical data, or sluggishness
in providing a timely solution that would be of use in real-time applications.
This inefficiency is further compounded by computational limitations and
the complexity of some existing models. In dealing with real-time event driven
systems, the underpinning logic of the proposed method is based on the assumption
that in the vast majority of cases changes in input variables will trigger
events. Every single or combination of events could subsequently result in a
change to the system state. The proposed event tracking sensitivity analysis
method describes variables and the system state as a collection of events. The
higher the numeric occurrence of an input variable at the trigger level during an
event monitoring interval, the greater is its impact on the final analysis of the
system state. Experiments were designed to compare the proposed event tracking
sensitivity analysis method with a comparable method (that of Entropy). An
improvement of 10 percent in computational efficiency without loss in accuracy
was observed.The comparison also showed that the time taken to perform the sensitivity
analysis was 0.5 percent of that required when using the comparable Entropy
based method." www.fu-vision .com
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