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Digital terrain models (DTMs) are an important data source for geographical information processing. They are used to represent, analyse and visualize phenomena related to topography or other surfaces. A DTM may be understood as a digital representation of a portion of the earth s surface [Weibel and Heller, 1991]. Applications of digital terrain modelling abound in civil engineering, landscape planning, military planning, aircraft simulation, radio communications planning, visibility analysis, hydrological modelling, and more traditional cartographic applications, such as the production of contour, hill-shaded, slope and aspect maps [Kidner et al., 1999]. There are various de nitions of DTMs, and some authors argue that the term Digital Elevation Model (DEM) should be used instead of Digital Terrain Model , where merely relief is represented. The term terrain often implies attributes of a landscape other than the altitude of the land surface [Burrough, 1986]. In contrast, Ordnance Survey names their products DTM (which includes contours, break lines, etc.). They provide a de nition which is speci c only to their own products. The accuracy of a DTM is an important issue, which is an essential factor for many GIS applications, for example, intervisibility and hydrological modelling. Often, existing topographic maps have formed the main data source for generating DTMs. Any DTM/DEM derived from digitizing a topographic map is an approximation of the real world [Carter, 1988]. Dorey [2002] suggests that small source errors can propagate through to large errors in such terrain models and inevitably in the nal application itself. Since OS DTMs are used as the only experimental dataset in this work, it is necessary to evaluate the accuracy and

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RMI can be a good way to run a distributed application in Java. Despite your best efforts, however, it is often difficult to figure out what is going wrong in distributed applications. Sometimes you think you've done all that you should, and your app still isn't working. You'll find that two good resources are Sun's RMI page (accessible from http://java.sun.com/rmi) and its current FAQ list (http://java.sun.com/j2se/1.3/docs/guide/rmi/faq.html). You will often find the answer to your specific questions by checking the mailing list archives. In our introduction to RMI, we covered the following topics: You learned how to create an interface for the service you would like to implement. Because you will be accessing the service from a client, it should extend the Remote interface. You then created a class that extended the UnicastRemoteObject that implements this interface. You generated a stub from this class using the RMI compiler. This stub travels from the server to the client to act as a proxy for the original class. You used Sun's simple HTTP server to deliver the stub code across the network. When you ran the code remotely you needed to specify where the code was located using the java.rmi.server.codebase property, and where a security policy file was located using the java.security.policy property. We discussed techniques for improving performance in these distributed applications. These included limiting the number of calls you make over the network and reducing the size of the objects you send. Finally, we demonstrated that you don't need a live process for every service you want to offer on the server. By extending java.rmi.activation.Activatable, you are able to use rmid to run services on demand.

We discovered a low-tech side of the crimes as well Early in the scheme, the perpetrators accessed public records, including voter registrations At the time, anyone could say they were representing a political group verifying voter lists and gain access to voter registration cards, which listed personal identifying information We believe this was how our police chief s identity was stolen While more sophisticated perpetrators used fraudulent credit cards to get cash advances from automated teller machines (ATMs), our criminals weren t that savvy What stood out in our spreadsheets was the use of the cards to order from online merchants expensive electronic goods, auto parts, cosmetics and clothing, all of which could be readily converted into cash for drugs One major online computer dealer cooperated fully, supplying us with complete records from the initial order to the ultimate delivery of the equipment to the customer.

Another online computer dealer, although it suffered signi cant losses from the fraudulent credit card orders, refused to cooperate without grand jury subpoenas citing its status as a nancial organization even though the customers were ctitious and the company ultimately suffered the losses Naturally, we concentrated our efforts on the more cooperative company We had enough on our plate already Our spreadsheets revealed still another common denominator one address on Waycrest Avenue in Dallas s Oak Cliff neighborhood was used for multiple deliveries of fraudulently ordered merchandise We identi ed the resident as Teresa Newman I prepared a test mailing containing a preapproved credit card application in the name of our police chief, with a return address of a Post Of ce box we controlled The test letter was delivered to the Waycrest address and, in almost no time, the completed application was returned to our PO box.

which is one half of a cosine Fourier-transform pair, with the other being: B( ) =