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Do Perfect Trojan Compilers exist Can you build one On the other hand, can you prove they do not exist Note that Perfect Trojan Compilers are well behaved, which makes them easier to reason about. Real Trojan horses are never well behaved and will happily fail on all sorts of inputs, just as long as they can succeed on one execution path that leads to system compromise.

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The extension to doubly curved surfaces is challenging and interesting One goal is to provide the tools for designing antennas with full hemispherical coverage A doubly curved surface can more accurately model, for example, realistic airborne or space-borne antennas than a singly curved surface can However, in many applications a singly curved approach gives results accurate enough to be useful in the first stage of the design of a doubly curved antenna Nevertheless, new features are introduced with doubly curved conformal antennas or, at least, these features become important in a new way and must be accounted for One such feature is the co-polar and cross-polar aspects of the radiation pattern, since all elements on a doubly curved surface point in different directions We will illustrate this with some examples However, the array properties and the need to control the polarization in each element are left for 8.

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Unfortunately, the literature references in this area are not many and much remains to be investigated The analysis tools needed for doubly curved PEC surfaces are well developed, but there is no general tool for electrically large, coated surfaces Furthermore, even though some doubly curved surfaces can be analyzed it is difficult to find information about the performance of elements mounted on these structures In several references, the radiation patterns for arrays on doubly curved surfaces are discussed and analyzed using simplified models For example, the radiation pattern is often calculated by using the element pattern from a planar geometry and using a number of coordinate transformations and a summation to obtain the full array pattern Some references are [Harris and Shanks 1962, Hoffman 1963, Sengupta et al 1968, Hsiao and Rao 1976, Debionne 1986, Saito and Heichele 1987, Douchin and Lemorton 1997, Guy 1999, Girvan et al 2001].

One possible solution to a system s lack of transparency is to provide a graphical diagram to aid in visualization. By visualization we mean a process by which numerical data and information are converted into meaningful images. One de nition of visualization is the process of forming a mental model of data, thereby gaining insight into the data. 1 In the last chapter, we looked at mental models that people can run in their minds when they are trying to understand the behavior of a complex system. In many ways, this chapter is a continuation of the discussion. Now, we broaden our discussion to consider many more types of diagrammatic representations. This topic is particularly relevant today given the advances in computer displays and the rise of the Internet as the medium of choice today. Without a doubt, the graphical user interface will assume a more prominent role in intelligent systems in the future. Now is a ripe time to explore the issue of how to provide graphical aids to customers and end users that assist in the visualization of data and information. We de ned earlier (in 1) a diagram as a graphic representation that shows how something works or makes something easier to understand. It may seem fairly obvious and intuitive what a diagram is, but de ning it more precisely will help us focus our attention on speci c types of representations. Furthermore, we will consider the question of what is not a diagram, as this will eliminate from consideration many types of representations. First of all, a diagram is not a sentential or linguistic representation. In a sentential representation, we form system descriptions by employing the sentences of a language. A diagram, by contrast, is a type of information graphic that preserves explicitly the information about

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