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If Session) "SessionActive" ) <> "True" then Response Redirect "Index asp" End If Creating the Connection with the database Set epizza_conn = Server CreateObject ( "ADODB Connection" ) epizza_connOpen Session ( " conns tr ing" ) Retrieving the recordset with the list and prices of all the available ' pizzas StrSQL = " Select Pizza_Id, ShortDesc, LongDesc, Sprice, Mprice, " & _ " LPrice from Pizza where ActiyeRecord = 1 " Set pizza_info =epizza_conn Execute (strSQL) Retrieving the recordset with the list and prices of all the available beverages StrSQL = " Select beverage_Id, Description, LiterPrice, CanPrice from" & _ " beverages where ActiveRecord = 1" Set beverage_info =epizza_conn Execute (strSQL)

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The scheme is simple The claimant node who claims to be in the region of interest sends this claim to a veri er node The veri er node rejects the claims if the claimant node does not claim to be in the proper region Therefore, assuming that the claimant claims to be in the proper region, the veri er transmits a nonce to the claimant using RF signals in order to verify the claim The claimant is expected to immediately echo the transmitted nonce back to the veri er using ultrasound signals The veri er node can then calculate from the time taken to receive the nonce back whether the claimant is in the proper region assuming that the region corresponds to a circle Note that the time taken consists of the time taken for the claimant to receive the RF signal from the veri er and for the veri er to receive the US signal from the claimant This assumes that the processing time at the claimant in order to receive the RF packet and return the US packet can be ignored The veri er can draw a circular region around itself that corresponds to the region of interest and thereby determine the permissible time within which the nonce must be received back There would be two reasons why the nonce would not be received back in the tolerable time It could be due to the claimant being present outside this allowable circular region Such a claimant will not be able to transmit the nonce back such that it is received by the veri er within the acceptable time Another reason why the nonce might not be received within the allowable time could be due to a processing delay at the claimant This delay could result in the claimant being falsely inferred to be outside the region of interest This is a serious problem To address this, the authors propose the idea of a buffer region Let us assume that the allowable response time translates to the fact that the claimant can be in a circle of radius R around the veri er Now given a zero processing delay, the allowable region could correspond to the circle of radius R centered at the veri er s location, but when the processing delay is nonzero then the veri er node is expected to shrink the allowable region in which claims are accepted So given a processing delay of d, the allowable region would be the region that remains when an annulus of width ds is removed from a circle of radius R; s here indicates the speed of sound This smaller allowable region is called the region of acceptance This is shown in Figure 713 Note that if the claimant tries to cheat by delaying the response then the claimant is only hurting itself In fact, the longer it takes for the veri er to receive the nonce back, the farther away the claimant is assumed to be A claimant can also not cheat by starting.

' Retrieving the recordset with the list and prices of all the available ' Toppings StrSQL = " Select topping_id, topping_description from toppings" " where ActiveRecord = 1" Set topping_info =epizza_conn Execute (strSQL) ' This variable defines the maximum number of available custom_pizzas = Session ( "Custom_Pizzas" ) customized pizzas

of a new bump-shaped kernel function k[(x X)/h]/h centered on the argument X of the desired estimate f(X) The window width h of a kernel determines the spread of the bump and thus the resolution of the probabilitydensity estimate h can be made smaller for larger sample sizes n Our primitive rectangular window rect[(x X)/h]/2 weights all x-values falling into its window equally and suppresses all others, but more general kernel functions k[(x X)/h] let x-values farther away from the argument value X contribute to the sample average Since x(X) is continuous, this provides a sort of interpolation and may reduce the estimate variance for a given resolution The probability-density estimate f(x) is correctly normalized if the kernel function k(X) is normalized, so that k(X) dX = 1 implies f(X) dX = 1

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If the action selected by the customer is to submit an order, then it goes through the list of pre-defined pizzas placing the selected ones in the corresponding shopping cart as can be seen in this code snippet:

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