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tion such as the OPERATING ENVIRONMENT (initial and dynamic), data inputs, and expected test results support each veri cation method. During SITE (11), the System Developer formally tests the SYSTEM with representatives of the Acquirer and User as witnesses. Multi-level system veri cation activities, at appropriate integration points (IPs) review (15) test data and results against the veri cation procedures (14) and expected results speci ed in the appropriate development speci cations. When the system completes SITE (11), a formal System Veri cation Test (SVT) corroborates the system s capabilities and performance against the SPS.



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When the SVT is completed, work ow progresses to Authenticate System Baselines (18). The process contains two authentication processes that may be performed at different times, depending on contract requirements. The rst authentication consists of a Functional Con guration Audit (FCA) (17). Using the SPS and other development speci cation requirements as a basis, the FCA reviews the results of the As-Designed, Built, and Veri ed system that has just completed the SVT to verify that it fully complies with the SPS functional and performance requirements. The FCA may be conducted at various levels of IPs during the SITE Process. On successful completion of the FCA, the system may be deployed to a User s test range or site to undergo Operational Test and Evaluation (OT&E) (19). On completion of OT&E, the system may reenter the Authenticate System Baselines process for the second pass.





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The computation of maximal independent sets plays an important role in the analysis of CSMA protocols [31, 57 59], as well as routing protocols [49]. The problem is NP-hard, and approximation techniques are often used for practical purposes. A simple way of approximating the maximal independent sets of nodes that can concurrently transmit under the Protocol Model of interference is given in Algorithm 4. The model is validated by observing the interactions in a simulated environment. The results show that the model captures a vast majority of the interactions. Two or more links initiating at the same instant of time without the knowledge of each other accounts for a miniature fraction of the packet losses, which is not captured by the model in reference 31. In the IEEE 802.11 [19] MAC protocol, a packet loss is observed when the sender does not receive a CTS for the RTS (which is called as RTS timeout), or if the ACK packet is not received for the DATA (an ACK timeout). In Figure 7.6a, the formulation is validated against simulation results to see if the model captures such losses. It was seen that less than 3% of the packet losses occurred between different MICS and thus were not captured by the model. Accordingly, truly concurrent transmissions are rare, and most collisions occur due to the failure of the MAC protocol to prevent interfering sources from concurrent transmissions. This result supports the use of the

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Competence and Confidence of People on the Project Ask these questions of yourself, the system builder, and the people on the project teams:

plant, etc in look, feel, and performance If the simulator is not concurrent with the actual system, you may have a negative training condition If part of the actual system eg vehicle does not operate due to a lack of maintenance, etc, that training device capability should also be inoperable This includes: switches, indicators lamps, displays, audio, etc Challenge 3: Scoring Capability Requirements As with any training device, the question is: HOW do we measure levels of student skills and pro ciency This area represents a highly debated topic The challenge for SEs is: HOW do you specify scoring capability requirements A word of caution: some SEs have in ated egos and erroneously believe they can specify training capabilities for this area.

AVOID this notion; recognize the limitations of your expertise! Talk with the Instructional System Development (ISD) subject matter experts (SMEs) who are the professionals and understand WHAT constitutes effective training capabilities Collaborate with the ISD SMEs to identify and specify the training capability requirements Challenge 4: Operational Task List Training Large complex EQUIPMENT systems such as ground vehicles, aircraft, and spacecraft involve Training Task Lists (TTLs) that must be performed as part of normal system operations as well as in response to malfunctions Each of these operational tasks employs various system capabilities and levels of performance that are controlled by the Human-in-the-Loop (HITL) or by automated decision-making systems When developing training devices, recognize that the simulator must provide the capability to train system operators in using the TTLs Some TTL items may or may not be applicable or trainable except on the actual equipment.

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