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Anecdotal evidence suggests that facial recognition systems have been successful in catching at least some undesirables in the casino world Success stories include: [T]he system was installed at Trump Marina in 1997 Three days later, it helped the casino nab eight baccarat cheats Reported in Casinos Using Facial Surveillance, Gaming Magazine, February 26, 2001 The first day [the] system was installed, a major casino discovered a long-sought-after cheating ring, potentially saving themselves several thousands of dollars Reported in To Catch a Thief, CasinoGurucom, August 3, 1999 After having this advanced technology for only a couple of weeks, we used the Visionics system to identify a known suspect who had registered under a false name, said Dan Eitner director of surveillance at the Venetian Reported in Facial Recognition Ready for Prime Time Security Watch, May 2000.

Figure 4.5 A light-emitting diode is a p-n semiconductor that emits light when a forward bias is applied.

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as well as this detailed account by Andy Newman, entitled Face-Recognition Systems Offer New Tools, but Mixed Results, in the New York Times on May 3, 2001: Detective Sean Boero and his partner were walking the casino floor at the Atlantic City Hilton when, behind a pile of red chips at a craps table, they spotted a familiar face It was a petty thief and card cheat named Sammy with a long criminal record They called headquarters to see if there were any warrants for his arrest No dice That might have been the end of it But Detective Boero went back to his office, called up Sammy s digital mug shot on a computer and hit Search Up popped a bunch of mug shots of men who looked, to varying degrees, like Sammy [ ] Several were of Sammy himself under different names, Detective Boero said.

Desktop Intelligence allows you to use the results of one query as a filter list in another query. At first glance, this sounds a lot like a subquery! In some respects it is, but the queryon-query capability is ever more powerful because Your filter list can come from an entirely different data source, whereas with a subquery, you access the same data source. Subqueries can cause slow performance, whereas query on query is often better. This does depend, though, on how many values you are comparing. If your filter list is thousands of rows, this data travels the network between the database and your desktop, whereas a subquery utilizes the database server completely. Also, certain databases have an upper limit for how many items can appear in a WHERE clause. To understand subqueries, first review the section on subqueries in 23. Assume you want to know how sales are doing for products that were promoted in a particular period. In this example, you first build the query to get a list of those products. This list of products is your first data provider. As a second step, you use the list of promoted products

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He checked for warrants on those names Two of Sammy s alter egos were wanted for theft Detective Boero raced back to the casino The detective approached and gave Sammy the news He just smiled and said, You got me, Detective Boero later remarked Each of these reported events could perhaps be explained by the casino s good fortune, the undesirable s bad luck, or as part of the casino s slick public relations effort to hype deterrence (to make the undesirables think that the casino has impenetrable security so they go elsewhere) Or maybe the technology actually worked..

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container provided by your teacher. 2. Return all lab equipment to its proper place. 3. Report any broken or damaged equipment. 4. Wash your hands thoroughly before leaving the lab.

Modifying one line of code in the previous Windows Script File can produce an entirely different result. For example, replacing the line,

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