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SELECT proxylevel FROM bi_proxyProxies WHERE 'VALUEOF(NQ_SESSIONRUNAS)'=targetid AND ':USER'=proxyId

With the advent of microprocessors that can compare patterns, waveforms, and huge arrays of numbers in a matter of microseconds, it is possible for a robot to determine the nature of a sound source, as well as where it comes from A human voice produces one sort of waveform, a clarinet produces another, a growling bear produces another, and shattering glass produces yet another Thousands of different waveforms can be stored by a robot controller and incoming sounds compared with this repertoire In this way, a robot can immediately tell if a particular noise is a lawn mower going by or person shouting, an aircraft taking off or a car going down the street Beyond this coarse mode of sound recognition, an advanced robot can identify a person by analyzing the waveform of his or her voice The machine can even decipher commonly spoken words This allows a robot to recognize a voice as yours or that of some unknown person and react accordingly For example, if you tell your personal robot to get you a hammer and a box of nails, it can do so by recognizing the voice as yours and the words as giving that particular command But if a burglar comes up your walkway, approaches your robot, and tells it to go jump in the lake, the robot can trundle off, find you by homing in on the transponder you re wearing for that very purpose, and let you know that an unidentified person in your yard just told it to hydrologically dispose of itself

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Notice the use of the session variable RUNAS This will get defined and populated by the presentation server when the user initiates the Run As process from the settings menu on the Web Lastly, you need to modify the presentation server To do this, you first create an XML file in the $OracleBI_HOME\web\msgdb\customMessages folder You can call the file anything you want This file defines what will show up in the Run As screen for the given user, and it needs to contain the following information:

Backtracking is based on the observation that it is often possible to reject a solution by looking at just a small portion of it For example, if an instance of SAT contains the clause (x 1 x2 ), then all assignments with x1 = x2 = 0 (ie, false) can be instantly eliminated To put it differently, by quickly checking and discrediting this partial assignment, we are able to prune a quarter of the entire search space A promising direction, but can it be systematically exploited Here s how it is done Consider the Boolean formula (w, x, y, z) speci ed by the set of clauses (w x y z), (w x), (x y), (y z), (z w), (w z) We will incrementally grow a tree of partial solutions We start by branching on any one variable, say w:

Figure 11-14

< xml version="10" encoding="utf-8" > <WebMessageTables xmlns:sawm="comsiebelanalyticswebmessageSystem"> <WebMessageTable system="SecurityTemplates" table="Messages"> <WebMessage name="LogonParamSQLTemplate"> <XML> <logonParam name="RUNAS"> <getValues>EXECUTE PHYSICAL CONNECTION POOL Security Information"bi_security_select select targetid from bi_proxyproxies where proxyid='@{USERID}' </getValues> <verifyValue> EXECUTE PHYSICAL CONNECTION POOL Security Information"bi_security_select select targetid from bi_proxyproxies where proxyid='@{USERID}' and targetid='@{VALUE}' </verifyValue> <getDelegateUsers>EXECUTE PHYSICAL CONNECTION POOL Security Information"bi_security_select select proxyid, PROXYLEVEL from bi_proxyproxies where targetid='@{USERID}' </getDelegateUsers> </logonParam>

Plugging w = 0 and w = 1 into , we nd that no clause is immediately violated and thus neither of these two partial assignments can be eliminated outright So we need to keep 266

You can use iCal to run a script for you at a particular time even if iCal itself isn t running at the time

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