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Figure 5-4. Using hysteresis, you can filter the flickering of the distance measurements. This is exactly the solution used in the Omni-Biped program, where you are using two thresholds, NEAR and FAR. In the graph, when the distance reading (top graph) goes below the NEAR threshold, the obstacle Boolean variable (plotted in the bottom graph) becomes true (point a). In other words, when the measured distance is low, the robot assumes that an object is near. As you can see, the measurement flickering about the NEAR threshold does not influence the obstacle variable; this holds also for the fluctuation inside the band delimited by NEAR and FAR. The Boolean variable obstacle becomes false only when the distance measure will be higher than the FAR threshold (point b). Finally, the obstacle variable again receives the value true only if the distance reading goes lower than the NEAR threshold (a label). This way, you can get a smoother-working system, filtering the measurement fluctuations.



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The project (or projection) operation is one where the result set contains a subset of the attributes (columns) in the original relation (table).1 Thus, the result set can contain fewer





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Etomic.Library.Transformer. Because this is an assembly that is to be used by other systems, it is likely that the deployment itself will be simple. However, the assembly needs to be published in a certain way to ensure that the systems that utilize it can see it and use it during their own builds. We will therefore also need to publish multiple versions of the assembly in a standard way so that the other systems can select the correct version. Etomic.Transformer.Win. Windows applications are simpler to deploy than web applications since they require no infrastructure such as a web site or virtual directory. There may be need for configuration and so on, but otherwise an XCOPY deployment to a specific folder is probably enough. Etomic.Transformer.Web. The deployment of the web application is more complex because it will require applying the same configuration settings as the Windows application and also the additional step during environment creation of creating a virtual directory for the site to run in. Once again, because we are considering applications with no real deployment complexity, we will see only a limited amount of deployment script. That is not to say that our script will not do the job, but we will not have to focus on standardizing and refactoring the deploy scripts in the same way we will the build scripts.

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1. For simplicity, I ll use the attribute/column, tuple/row, and relation/table terms interchangeably. 489

Recall what I said before: a system has hysteresis when the path to go from state A to B is different from the path to go from B to A. Now that you ve seen the preceding example, you can understand the graph in Figure 5-5.

attributes than the original relation. Users specify projections in a SQL SELECT command by listing the desired columns in the column list immediately following the SELECT keyword. For example, the following command projects the first_name and last_name columns from the staff table. SELECT first_name, last_name FROM staff The project algorithm to implement this operation is shown in Listing 12-1. Listing 12-1. Project Algorithm begin do get next tuple from relation for each attribute in tuple if attribute.name found in column_list write attribute data to client fi while not end_of_relation end As you can see from the listing, the code to implement this algorithm limits sending data to the client to the data specified in the column list.

If we were just to move on and produce a build script for these components and systems, we would no doubt be successful since NAnt would easily accommodate our requirements. But at this point we should consider our goal: the implementation of a standard set of scripts and/or processes that are quick and that ease the integration of new systems. If we imagine for a moment that the Transformer applications are more complex than the code presented here, then the scenario itself is one that is quite common: multiple interfaces/systems utilizing shared common code. This gives us the opportunity to consider broader standards for the way in which the team should organize the environment and the solutions they have in order to successfully and efficiently deliver the resulting products. This sounds a little like Design to Deliver. The following are some areas worth considering for standardization. We will discuss them here and then see how they impact on the scripts later.

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