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Exp.Curve Exp.Curve 2012. Planed tasks Prediction of behavior for each task! We should determine the time constant τ τ RC 100% 80% 60% 40% 20% 0 0 1 t 2 t 3 t 4 t 5 t 99% 98% 95% 86% 63% 37% 14% 5% 2% 1% N um beroftim e constants Percent offinal value Rising exponential Falling exponential

2012

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Rising exponential. Falling exponential. 2012. Planed tasks. Prediction of behavior for each task! We should determine the time constant τ. We assume exp. Curve scenario. Math and portals. STOP WORK HERE. 37% OF WORK LEFT (TO BE DONE). 2012. - PowerPoint PPT Presentation

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Page 1: 2012

Exp.CurveExp.Curve2012.

Planed tasks

Prediction of behavior for each task!

We should determine the time

constant τ

τ RC

100%

80%

60%

40%

20%

00 1t 2t 3t 4t 5t

99%98%

95%

86%

63%

37%

14%

5% 2% 1%

Number of time constants

Per

cent

of f

inal

val

ue

Rising exponential

Falling exponential

Page 2: 2012

Exp.CurveExp.Curve

Math and portals• We assume exp. Curve scenario

Page 3: 2012

Exp.CurveExp.Curve2012.

100%

80%

60%

40%

20%

00 1t 2t 3t 4t 5t

99%98%

95%

86%

63%

37%

14%

5% 2% 1%

Number of time constants

Per

cent

of f

inal

val

ue

STOP WORK HERE

37% OF WORK LEFT (TO BE DONE)

Page 4: 2012

Exp.CurveExp.Curve

When to stop work!• We stop work when curve starts to go

in saturation!

Page 5: 2012

Exp.CurveExp.Curve

Large number of portal with different Locations ...

...end up with different results

Page 6: 2012

Exp.CurveExp.Curve

Portals behave similar ...

... We select best portals !!!

Page 7: 2012

Exp.CurveExp.Curve

There are differences • Depends if portal is already live?• If work will be continued after planed period • etc....

Page 8: 2012

Exp.CurveExp.Curve

The Normal Probability Distribution

• Graph of the Normal Probability Density Function

xx

f f ((x x ))

Page 9: 2012

Exp.CurveExp.CurveWhat we will have?

Page 10: 2012

Exp.CurveExp.Curve

10% of portals will be extraordinary!!!

Page 11: 2012

Exp.CurveExp.CurveNormal Curve

68%

95%

99.7%

Approximate percentage of area within given standard deviations (empirical rule).