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This means our scaling factor to convert pulses per second into liters per minute is 1/4.5, or approximately 0.22. By measuring the pulse frequency and dividing by 4.5 (or multiplying by 0.22) we can determine the current flow rate in liters per minute. The program for this project, therefore, acts as a simple frequency counter to determine how many pulses are being generated per second, and then applies that scaling factor to convert the measured frequency into a flow-rate value in liters per minute. It also outputs the value as the number of liters passed in that second, and as a cumulative total of the number of liters passed since the program began.



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DATA [filename] | [sde parameters][postgis table/column][oracle table/column] Default: n/a Specifies the path to the shapefile (without extension) relative to the location specified by the keyword SHAPEPATH or relative to the location of the mapfile. When accessing SDE layers, sde parameters specifies the layer name and geometry column of the database as a quoted string in the form "layername,geometry". For PostGIS layers, postgis table/column specifies the geometry column and table name as a quoted string in the form "columnname from tablename". Accessing an Oracle database requires the specification of an Oracle-compliant query, such as "shape FROM table".





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There is a slight complication though: most flow-rate sensors do not have a consistent scaling factor across their entire operational range. At low flow rates the sensor might be impeded more by friction in the bearings, so its output frequency could actually be lower per liter than at higher flow rates. That variation could be corrected in software by applying a different scaling factor depending on the measured pulse rate. However, because the accuracy of inexpensive flow sensors is typically only +/ 10% anyway it doesn't really matter much in practice that the scaling factor deviates slightly at low flow rates.

DEBUG [on | off] Default: off Turns layer debugging on. Debug output is sent to STDERR (frequently directed to the error log of the web server) or the log file specified in the WEB object.

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The question remains: Where do you get started We don t recommend beginning on your own. Thousands of companies have implemented PPM to support their enterprise governance practices. It only makes sense to take advantage of their triumphs and pitfalls. You can leverage recognized industry frameworks/standards and best-practice methodologies as a good starting point into portfolio management. Some PPM software solutions incorporate these best practices, which include prebuilt report templates, workflows, and portlets to help ease of use and help ensure that the desired business outcome is achieved. Stage-Gate is an example of a methodology that is recognized for new product development.

The example sketch contains two things that are likely to be a bit puzzling if you haven't seen them before: hardware interrupts and volatile variables.

DUMP [true | false] Default: false Returns data in GML or raw raster format (used for WFS and WCS access if these features are enabled).

The first trick is the use of an interrupt to process pulses coming from the sensor. An "interrupt" is a special signal sent to the CPU that does pretty much what it sounds like: it interrupts the current program flow and makes it jump off in a different direction temporarily, before returning to whatever it was doing previously. As far as the main program code is concerned, it doesn't even need to know that an interrupt has taken place. It will simply lose some time in the middle of whatever it was doing; other than that, everything will continue as if nothing happened. Of course this can cause big problems if your main program code is doing something time-critical, and it's important to keep interrupts as short as possible. Interrupts can come from a variety of sources, but in this case we're using a hardware interrupt that is triggered by a state change on one of the digital pins. Most Arduino designs have two hardware interrupts (referred to as "interrupt0" and "interrupt1") hard-wired to digital I/O pins 2 and 3, respectively. The Arduino Mega has a total of six hardware interrupts, with the additional interrupts ("interrupt2" through "interrupt5") on pins 21, 20, 19, and 18, respectively as shown in Table 10-2. Table 10-2. Hardware interrupt pin assignments

FILTER [string] Default: none Causes MapServer to perform attribute filtering of a layer when spatial filtering is done, but before evaluation of class expressions. string is a regular expression for OGR and shapefile access, and it s a SQL WHERE clause for spatial databases. This is typically used to filter out null attributes or shapes from a query.

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