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USDA-FSIS (US Department of Agriculture, Food Safety and Inspection Service) 1994 Nationwide beef microbiological baseline data collection program: cows and bulls, December 1993 November 1994 USDA-FSIS, Science and Technology, Microbiological Division, Washington, DC Available at: http:// wwwfsisusdagov/Science/Baseline_Data/indexasp Accessed 26 November 2008 USDA-FSIS (US Department of Agriculture, Food Safety and Inspection Service) 1996a Achieving the zero tolerance performance standard for beef carcasses by knife-trimming and vacuuming with hot water and steam: Use of acceptable carcass interventions for reducing carcass contamination without prior agency approval: Notice of Policy Change Federal Register 60:15024 15027 USDA-FSIS Washington, D C USDA-FSIS (US Department of Agriculture, Food Safety and Inspection Service) 1996b Nationwide beef microbiological baseline data collection program: steers and heifers, October 1992 September 1993 USDA-FSIS, Science and Technology, Microbiological Division, Washington, DC Available at: http://wwwfsisusdagov/Science/.

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scaling there will be a transistor element whose breakdown voltage can be utilized as an ESD network, or a trigger circuit within an ESD network for other elements. Additionally, inverse relationship of breakdown voltage and unity current cutoff frequency exists within a given technology with multiple transistor elements. Hence, within a given technology with a multiple number of transistors, this relationship can be utilized for RF ESD protection networks.

Add c as the first argument to the shell. This indicates to the shell that the next argument is the command to be executed. The command string is also written to the command line so it will appear in Terminal.

(See Section i.l.)

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Figure 25.5. Schematic representation of the electromagnetic spectrum (in logarithm scale) of the different effects that contribute to effective loss factor (adapted from Castro-Gir ldez et al. 2008), where i represent the ionic losses; MW means Maxwell-Wagner effect; dfw is related to the dipolar losses of free water; db is related to the dipolar losses of bound water; a is related to the atomic losses; and e is related to the electronic losses.

As one of the most fundamental security services, pairwise key establishment enables the sensor nodes to communicate securely with each other using cryptographic techniques such as encryption and authentication. However, due to the resource constraints on sensor nodes, it is undesirable for them to use traditional pairwise key establishment techniques such as public key cryptography and key distribution center (KDC). Instead of the traditional approaches to key establishment, a promising alternative is key predistribution, where keying materials are predistributed to sensor nodes before deployment. As two extreme cases, one may set up a global key among the network so that two sensor nodes can establish a key based on this global key, or assign each sensor node a unique random key with each of the other nodes. However, the former is vulnerable to the compromise of a single node, and the latter introduces substantial storage overhead on sensor nodes. There have been a number of recent advances in key predistribution for sensor networks, starting from the probabilistic key predistribution scheme proposed by Eschenauer and Gligor [3]. In this section, we describe several of these advances. 5.3.1 Random Key Predistribution Based on Key Pools

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Appendix A: Soldering and Safety Basics . . . . . . . . . . . . . . . . 383 Appendix B: Electrical Diagram Schematics . . . . . . . . . . . . . . . 405 Appendix C: iRobot Roomba Open Interface (ROI) Specification . . . . 415 Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 427

Figure 7-2

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