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ithout a doubt, Microsoft Word is the most popular word-processing program on Earth for good reasons. Not only is it easy to use, but it also has many powerful features that you may not be aware of. This chapter explores some things you can do to get the most out of Word.

read the UPC codes on containers. If items do not have the UPC codes, the information has to be entered manually into the computer. As new ingredient price information is entered, the computer automatically updates all total recipe costs using current portion costs or a weighted average (depending on which method management chooses) for any recipes containing any of these ingredients. A report can be printed to show which recipes are affected and what the new food cost is in dollars and percentages for that recipe; the need to change the menu selling price can also be flagged.

Protect your checking account: When shopping online, never use a debit card, check card, or any other card that links directly to your checking account. This will protect your account from being wiped clean by an Internet criminal who steals your identity. Although most debit/check cards claim to provide 100 percent protection in the event of identity fraud, it can take several hours or days for the money to be replaced in your checking account (especially if you have to ght with the bank to prove you didn t make the fraudulent purchases). During that time, it is possible that

Pattern recognition by af ne moment invariants Pattern Recog 1993;26:167 174 17 Franco P, Ogier J-M, Loonis P, Mullot R A topological measure for image object recognition Graphics recognition Lecture Notes in Computer Science Volume 3088 2004 p 279 290 18 G rtner B Fast and robust smallest enclosing balls Algorithms ESA LNCS Volume a 1643 1999 p 325 338 19 G rtner B, Sch nherr S Exact primitives for smallest enclosing ellipses Inform Process a o Lett 1998;68(1):33 38 20 Ghali A, Daemi MF, Mansour M Image structural information assessment Pattern Recog Lett 1998;19(5 6):447 453 21 Granlund GH Fourier preprocessing for hand print character recognition IEEE Trans Comput 1972;21:195 201 22 Hayward WG Effects of outline shape in object recognition J Exp Psychol: Hum Percept Perform 1998;24:427 440 23 Hentschel ML, Page NW Selection of descriptors for particle shape characterization Part Part Syst Charact 2003;20:25 38 24.

The projects so far have shown you how to attach several different embedded computing systems to Roomba, but you re not limited to just those. Hackers across the globe are turning Roomba into a programmable robot using just about every conceivable embedded computer in every conceivable programming language. These designs are documented on the Net so you

The revenue ratio to change from its present 80 percent for rooms and 20 percent for food to 75 percent for rooms, and 25 percent for food. Food variable costs to be decreased to 55 percent. P8.10 A neighborhood restaurant opens for lunch only and has a menu limited to five meals. The history of each menu item relative to its percentage of total sales, selling price (SP), and variable costs (VC) are shown in the following: Menu Item Food Food Food Food Food 1 2 3 4 5 SP $15.00 12.95 11.00 8.95 9.95 VC $7.75 7.50 5.50 2.85 6.50 SR% 16% 20 22 14 8

Mika Klemettinen (Nokia) Andy Aftelak (Motorola LTD) Mika Klemettinen (Nokia) Jukka T Salo (Nokia)

Jacobs DW Robust and ef cient detection of salient convex groups IEEE Trans Pattern Anal Mach Intell 1996;18(1):23 37 25 Kakarala R Testing for convexity with Fourier descriptors Electron Lett 1998;34(14):1392 1393 26 Kindratenko VV On using functions to describe the shape J Math Imaging Vis 2003;18(3):225 245 27 Koprnicky M, Ahmed M, Kamel M Contour description through set operations on dynamic reference shapes International Conference on Image Analysis and Recognition Volume 1 2004 p 400 407 28 Landau B, Smith LB, Jones S Object shape, object function, and object name J Memory Language 1998;38:1 27 29 Latecki LJ, Lak mper R, Eckhardt U Shape descriptors for non-rigid shapes with a single a closed contour Proceedings of the Conference on Computer Vision Pattern Recognition; 2000 p 1424 1429..

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