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1. Open ab23-d.dwg from the CD-ROM. 2. Save it as ab23-04.dwg in your AutoCAD Bible folder. The path curve and axis are already drawn. This drawing was saved using the Conceptual visual style. 3. Choose Draw Modeling Meshes Revolved Mesh. 4. At the Select object to revolve: prompt, select the polyline to the right.

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general framework on plan execution and plan formation that can be used in a wider sense and is suitable for reuse (van Wezel, Jorna, and Mietus, 1996, and 7 of this book) This was the conclusion we drew from the design and development of ZKR and other programs It was a success, but we also draw a lesson from it (Mietus, 1994; Jorna, 1994; van Wezel et al, 1996) The realization of ZKR itself did not show our shortcomings What did show our shortcomings, however, was the transfer of knowledge to other planning applications To make our position concerning user-oriented planning support and domain-independence problem solving strategies more clear, we will shortly go into the basic assumptions that were behind the development of the nurse scheduling support system ZKR ZKR stands for ZieKenhuisRoostersysteem (scheduling nurses in hospitals) and was designed to support nurse scheduling in hospital units (Mietus, 1994).

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One of the characteristics of the Spring JMS framework is the ability to enable POJOs to receive messages asynchronously. The POJO doesn t contain any JMS API dependency and is purely responsible for carrying out business logic. (See Figure 8-3.)

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Compile code using Maven 2, via the following command:

For the development of this system a planner (user)-oriented perspective was used More than 20 nurses were extensively studied in their planning practice during several phases of system development The nurses solved assignments with increasing levels of dif culty Their scheduling procedures were monitored before and after nishing the scheduling support system Three more general conclusions came out of the research First, we found that different schedulers solving the same scheduling problem strongly differed in their problem-solving strategies and also in their outcomes One overall cognitive strategy to solve nurse scheduling problems did not seem to exist However, there are xed as well as oating patterns within the various strategies Second place, we found that schedulers wanted to control the planning session until the very end They even wanted to understand the intermediate outcomes of the program.

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Working with training coordinators to identify departmental training needs Working with instructional designers to design and develop training programs Working with departmental trainers to implement training programs

processForm() deals with validating and storing the submitted form data. First the function sets up a $requiredFields() array holding a list of the required form fields, and two empty arrays: $missingFields() to hold any required fields that weren t filled in by the user, and $errorMessages

In the third place it turned out that many decision points in the problemsolving strategy can be grouped together in such a way that different planners with different strategies can be effectively supported by one modular program (Mietus, 1994) The ZKR system can be conceived of as a knowledge-based decision support system (KB-DSS) The basis of this approach consists in the elicitation of the knowledge of individuals to solve complex problems Computational or mathematical elegance is not emphasized, but instead human information processing To elicit knowledge, several strategies can be followed In the ZKR case, we used pre-test and post-test comparisons and extensive protocol analyses In the empirical study discussed in Section 43, we designed a planning problem of which the protocols were collected and analyzed One can also use prototyping of ready-made support systems to nd out about cognitive strategies of problem solvers (Jorna and Simons, 1992).

Figure 24-27: You can use the SECTIONPLANE command to see various sections of a model in real time.

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