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There has probably never been a bot made that didn t involve some level of compromise on the part of the builder This is where your time-, money-, performance-, and availability-related trade-offs occur We builders rarely get the chance to use the best parts available, and therefore must settle for what we can get This is where you need to let go of your idea for a dream bot and start looking at your project more realistically For example, say you want your bot to move at 20 mph and you want to use 8-inch diameter go-kart wheels To move at this speed, the wheels need to turn at 840 rpm Now you have to find a motor that can deliver that speed You search all of the magazines and catalogs you can find, scour the Internet, and you still can t find a motor that will give you the speed you want This means you ll need to build a gearbox that can change the motor speed to the desired 840 rpm wheel speed Here you will be faced with lots of options, such as spur gears, sprockets, belts, worm drives, and so on In your search for motors, say you also found some gear motors you pick a few motors, and then calculate what gear reductions you need to get the right wheel speed At this point, you have several motor and gear options to choose from to get your robot to move at 20 mph So, now you have to choose which combination you want to use

Figure 23-5: Forwarding IP traffic When the vacation is over and you return to your normal domicile, you notify the local postmaster that you are back The local folks remove the forwarding address from your normal mailbox and then resume delivery to the home address The Phoenix postmaster, in the meantime, was responsible for knowing your temporary address while you were in his/her area Therefore, the local postal people were handling the routing and delivery of

The alternative to dragging an entire hierarchy to the design surface is to drag over only the levels of the hierarchy that are needed for the report For example, if only the Year and Quarter are needed, those two levels could be dragged and dropped on the Query Designer, resulting in a much smaller dataset, and therefore a report that executes much faster In addition, the default setting is for the query designer to immediately execute the query as soon as anything changes In order to stop this, the developer can click the Auto Execute button on the designer s toolbar to toggle the automatic execution off and on Another point of interest when building OLAP queries using the graphical query designer is that there is no concept of rows and columns Instead, the result set that is returned from the cube that lovely, multidimensional cellset is flattened into simple tables and rows, a two-dimensional format Therefore, the query designer shows the results in a flattened format as the query is being built Once the query is built, the developer can click on the Layout tab to begin the layout of the report itself, which includes mapping data elements to the page

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the mail while you were in Phoenix They were acting as your agents in the foreign location The foreign agent received mail that was marked for your normal home address, but translated this into the current address This combination of local (home agent) and remote (foreign agent) agents makes the process work Now let s assume that after vacation, you leave Phoenix, but do not go home Instead, you go on an extended business trip to San Francisco The home agents then label the boxes to reflect the changes that indicate mail is now to be forwarded to the new location

By default the design surface of the report is blank and elements from the Toolbox can be placed on it Oftentimes with OLAP data, the matrix control is used This certainly isn t the only control that can be used and many reports of OLAP data are done using the table control, but the matrix is the most popular for dealing with multidimensional data The matrix starts out with a single column, a single row, and a single cell for the data Normally, the measure will go in the Data box, and additional boxes can be added if there are multiple measures The developer can simply drag the measure from the Datasets window and drop it on the Data box in order to tie these two elements together Similarly, dragging the Country field from the Datasets window, dropping it on the Rows, and then dragging Calendar_Year and dropping it on the Columns will set up the matrix to do some simple reporting Figure 10-6 shows what the matrix looks like after the fields from the dataset have been tied to it, and the columns have been expanded to show all the text Notice that the values all start with an equal sign; this is because nearly every property

BrainStem microcontroller (courtesy of Acroname, Inc)

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