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CHANNEL ACCESS, 10, 12, 70, 82 83, 87, 93 96, 98 99, 113, 189 190, 192, 194, 196, 198 208, 210, 212, 214, 216, 224, 241, 324, 330 331, 351, 356, 391, 440, 483 Channel impulse response, 264 265, 267 268 Channel management, 588 Channel scanning, 227 Channel status request, 209, 230 Channel status response, 209 Channel time allocation, 193, 195, 198, 202 203, 208, 219 220, 241, 344 CI, 54, 78, 379, 401, 487, 564 CID, 128, 132, 480, 483 485, 487 489, 492, 498, 503, 508, 512, 591, 593 Cipher blockchaining, 231 Cipher keys, 218 CIR, 159, 265 266 Circuit-switched connection, 112 Clearance procedure, 572 Clear-channel assessment (CCA), 16, 200, 247, 331 332, 399 400, 404 405, 411, 453 455, 457, 460, 463 Clear-channel assessment detect time, 247 CLKN, 116 Cloning transmission, 227 Cluster tree routing, 385 Clustered UWB wireless PAN, 313 CM1, 267 271, 280 287, 291 295 Cochannel interference, 27, 29, 31, 33 36, 38, 43, 45 46, 50, 54, 151 153, 155 Code division multiple access (CDMA), 20, 261, 347, 382, 512, 517, 556 Coexistence mechanisms, 135 136, 138 140, 149, 151, 155, 161 Coin fraud attack, 559, 573 Collision avoidance, 4, 70, 83, 136, 153, 156, 193, 239, 323, 350, 376, 389, 398, 401, 440 Collision probability, 39, 82 84, 88, 93 95, 248 250, 374, 466 Command frame, 193, 195, 203, 227, 241, 243, 246, 250, 321, 327 328, 330, 332, 335 337, 340 346, 418, 420 421, 433, 441, 444 445, 448 449, 451, 463, 465, 468 Command integrity, 218, 226 227, 232 Command integrity protection, 226 Common part sublayer (CPS), 241, 416, 444, 480 481, 485, 488, 512, 588, 591 Communication channels, 109, 111, 128 Complementary code keying (CCK), 20, 23, 136 137 Con rm, 130 131, 139, 144 Connection blocking probability, 533, 537, 544 548.

In this chapter, we will discuss two new architectural alternatives for implementing a distributed database environment (DDBE). When these architectures were rst introduced, their names used the traditional nomenclature (DDBMS); in this book, the term DDBE is used instead. These two alternatives have several things in common with each other. In particular, both are attempts to implement an environment that is more dynamic (with respect to deployment details) than the traditional DDBE alternatives we discussed in 12. The rst architecture is called the cooperative distributed database environment (COOP) [Rahimi07a] and the second is called the peer to peer distributed database environment (P2P) [Rahimi07b]. After we have discussed each of these architectures, we will explore the similarities and differences between them and then discuss the similarities and differences between these two architectures and the traditional architectures discussed in 12.

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Swapping symbols is an easy way to quickly create several buttons. Instead of creating the shape for each button and then creating the text, you create the button shape one time, duplicate the button, and swap the label. If you need to use the label symbol in other parts of the movie, just drag an instance of it on Stage and modify it to suit.

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Ibanez, C, L Quintanilla, A Irigoyen, I Garc a-Jalon, C Cid, I Astiasaran, and J Bello 1995 Partial replacement of sodium chloride with potassium chloride in dry fermented sausages: In uence on carbohydrate fermentation and the nitrosation process Meat Science 40:45 53 Ibanez, C, L Quintanilla, C Cid, I Astiasaran, and J Bello 1996 Part I Effect of partial replacement of NaCl with KCl on the stability and the nitrosation process Meat Science 44:227 234 Ibanez, C, L Quintanilla, I Astiasaran, and J Bello 1997 Dry fermented sausages elaborated with Lactobacillus plantarum Staphylococcus carnosus Part II Effect of partial replacement of NaCl with KCl on the proteolytic and insolubilization processes Meat Science 46:277 284 Kenneally, P M, R G Leuschner, and E K Arendt 1998 Evaluation of the lipolytic activity of starter cultures for meat fermentation purposes Journal of Applied Microbiology 84:839 846 Klingberg, T D.

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, and B B Budde 2006 The survival and persistence in the human gastrointestinal tract of ve potential probiotic lactobacilli consumed as freeze-dried cultures or as probiotic sausage International Journal of Food Microbiology 109:157 159 Kozacinski, L, E H Drosinos, F Caklovica, L Cocolin, J Gasparik-Reichardt, and S Veskovic 2008 Investigation of microbial association of traditionally fermented sausages Food Technology and Biotechnology 46:93 106 Lebert, I, S Leroy, P Giammarinaro, A Lebert, J P Chacornac, S Bover-Cid, M C Vidal-Carou, and R Talon 2007 Diversity of microorganisms in the environment and dry fermented sausages of small traditional French processing units Meat Science 76:112 122 Luecke, F-K 2000 Utilization of microbes to process and preserve meat Meat Science 56:105 115 Luecke, F-K 1998 Fermented sausages In Microbiology of Fermented Foods, 2nd ed, edited by B J B Wood London: Blackie Academic and Professional Madsen, S M.

where Pr[C|i, j ] is the probability of requiring a packet retransmission due to interference from one or more WPAN interference sources, that is, the probability of collision is given by Pr Cji; j

Caralis, P, 92 Carboni, E, 151, 162 Cardenas, C C, 420, 431 Cardenas, D D, 421, 422, 431 Cardon, L R, 160, 164, 168 Carey, K B, 225, 240, 244 Carey, M, 203, 216, 219, 222, 225, 226, 229, 238, 240, 242, 244, 272, 275, 279, 287, 456, 459, 517 Carey, V, 543, 556, 563 Cargill, V A, 244 Carlin, M M, 459 Carlisle, D M, 344, 358 Carlson, B W, 264 Carlson, L, 450, 459 Carlson, S L, 76, 90 Carlson, V, 117, 611 Carmack, C L, 604, 608 Carmelli, D, 157, 158, 159, 160, 162, 168, 490, 509 Carmichael, S, 143 Carnes, M, 534, 536, 537 Carney, M, 57, 73 Carney, R, 198, 214, 346, 347, 358, 360 Carota-Orne, E, 459 Carpenter, J K.

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