Expectations feedback form

Table 3.5 Feedback form for use during the safety expectation alignment component of new employee induction...

For practical reasons, the number of LOS measurements is finite, and the tomographic reconstruction problem is ill-posed. Two reconstruction methods have been developed for cases where optical access is restricted, and the number of measurement LOSs is limited. One method, adaptive FDDI, requires 100 or more LOSs [1-3], while the other method. Tomographic Reconstruction via a Karhunen-Loeve Basis, requires far fewer [4, 5]. Because it requires very few LOSs, the authors believe that this latter method has potential for use in sensing for feedback control of combustion systems where optical access is limited however, it requires considerable a priori information in the form of a set of expected distributions, the training set. This set is analyzed via POD to yield a set of basis functions, the Karhunen-Loeve eigenfunctions, that are used for reconstruction. These training sets could come from measurements on prototype equipment or from computational combustion simulations. 

In contrast, studies of more advanced automation in aircraft find that errors of omission are the dominant form of error [181]. Here the controller does not implement a control action that is required. The operator may not notice that the automation has done something because that automation behavior was not explicitly invoked by an operator action. Because the behavioral changes are not expected, the human controller is less likely to pay attention to relevant indications and feedback, particularly during periods of high workload. 

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