AI Builder 2 Sample Files

Please note that we are in the process of creating new sample files each day. Please check back soon.

Example File: yahtzee

This project utilizes 5 random number generators to simulate the rolling of dice as in a yahtzee game. Several other components then analyze and tally the results for display. NOTE: Be sure to right click and drag the screen in to view as desired. Try clicking on reduce all in the view menu of the ribbon bar to experiment with full component view and reduced view.

Example File: patgen1

This project utilizes a pattern generator component and a random number generator component to drive the inputs to a 7-segment LED component. Also shown is the exposed outputs to the system outputs layer. Please also see the sample video that is available to produce this project.

Example File: sin_cos

This example uses the cosine and the sine components from the math category of components to illustrate the input of non-radian (degrees) based increasing values. In addition, the output of each is plotted with graph windows that scroll dynamically. NOTE: You must have the latest update 2.0.1.2 for the scroll to show properly.

Example File: ffts

This example shows the fft output of two digital signals that are produced by three dynamic simulated value components. Using signal mixers, the components frequency outputs are mixed and then identified with the fft components. Notice the M7 Constant (K) component that serves all relevant components with the same sampling rate.

Example File: randNum1

Simple generates a new random number between 1 and 6 every 500 milliseconds. The data storage component holds the most recent value until changed again. The 6 lights simply indicate the value currently. The data value is displayed in a data value window as well.

Example File: decisionMatrix

The National Oceanographic and Atmospheric Administration (NOAA) heat index combines both air temperature and relative humidity into a single value that indicates the apparent temperature in degrees Fahrenheit, or how hot the weather will feel. The higher the heat index, the hotter the weather will feel, and the greater the risk that outdoor workers will experience heat-related illness.

The key step was to configure the Decision Matrix Component with the various temperature and humidity range stratification, and the resulting 4 color warning output. Once the ranges were set, assigning the heat index fields was like painting a fence with the color graph that is automatically created (see the component properties dialog box above).

The point of this example is to show that pseudo-arbitrary decisions (221 possible outcomes on the 17*13 possible input combinations in this case) can be fully automated on dynamic sensor information with some of the Decision Logic Components provided in AI Builder.

Once configured, the Decision Matrix Component simply shows 2 inputs and 4 outputs - each of the outputs representing one level on NOAA's color-coded warning system.

Example File: yahtzee