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So, HOW do we create training aids to support training The answer is by way of training devices Training Devices The cost, complexity, availability, and risk of using actual systems for training purposes often limits training One mechanism for achieving similar results is to develop simulators that enable students to learn in a realistic, immersive environment without harming themselves, the public, instructors, or the EQUIPMENT Training devices provide this capability Training devices range from simple desktop computer models to highly complex aircraft simulators located on multi-axis motion platforms as illustrated in Figure 516 In general, most systems have training task lists (TTLs) that identify speci c mission tasks for assessing the knowledge, skills, and pro ciency of trainee operators.



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Instructional System Development (ISD) personnel analyze these tasks and determine what types of training aides and media are required whether to use classroom instruction, laboratory training devices or simulations, or actual EQUIPMENT systems As a result of the ISD analyses, TTL items are allocated to one or more types of training Therefore, training devices are required to provide capabilities to support all or some of the TTL items Training Device Speci cation Challenges Training devices present a couple of key challenges to SEs Challenge 1: Degree of Realism The need to create and immerse a student in a realistic environment sounds pretty simple Wrong! The challenge for SEs is: HOW do we specify a system that is: 1) realistic, 2) representative of the real world, and 3) provides effective training THINK about it.





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Such estimation of MAC factors can be used in the formulation of the routing Studies in references 54 56 approximate the busy time of the node at a higher layer and do not model the MAC-speci c interactions in great detail This has two key disadvantages: (1) The throughput of the link correlates well with busy time in lowinterference regions However, as seen in Figure 71 in Section 743, at moderate to high interference regions the busy time and the throughput of the link fail to correlate Thus the estimation of throughput by using the above models at high-interference regions may be incorrect (2) The variation of the quality of the links on a small-scale time frame in a real testbed was studied in reference 2 Capturing such interactions will need a precise formulation of the MAC protocol.

Ask the system builder to explain to you how the six tactical principles for running projects are being applied to the running of this project..

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Do you specify that the simulated world should look and feel like the real world This challenge drives SEs to develop levels of delity or the degree of realism representative of the physical world Typically, attribute descriptors such as low, medium, and high are applied to levels of delity However, de ne low, medium, and high Medium delity to one person may be low delity to someone else Does a training device require components such as switches, dials, and gauges that identically match the MISSION SYSTEM or are photographic models acceptable SEs must bound and de ne these terms to avoid confusion and misinterpretation Challenge 2: Simulator Concurrency Another challenge for SEs is specifying a simulator that identically matches the actual MISSION SYSTEM eg aircraft, spacecraft, nuclear power.

Author s Note 24.4 A word of caution: any discussions with the User and Procurement Team regarding the System Performance Speci cation (SPS) requirements validation requires tactful professionalism and sensitivity. In effect, you are validating that the Acquirer performed their job correctly. On the one hand they may be grateful for you identi ed any potential de ciencies in their assessment. Conversely, you may highly offend! Approach any discussions in a tactful, wellconceived, professional manner.

Kolar and Abu-Ghazaleh [31] propose a model to overcome the above problems and to capture a detailed link behavior The idea of capturing the MAC interactions is by identifying the patterns of interactions between the links The model is based on the Con ict graphs [50, 51] where each link is represented as a vertex and the links that interfere has an edge between them The maximal independent set (MIS) (as de ned earlier in Section 762) of such a graph results in a set of links that can be initiated concurrently; hence, theoretically, any snapshot of the ongoing transmissions in a network should be the links that form a subset of an MIS Since each MIS denotes the links that can contend with each other, it is termed the maximal independent contention set (MICS).

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