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5 A Test Scenario
We have tested the system with a number of scenarios that show the different
functionalities of the system, i.e. how the system adapts itself to various needs of the
inhabitants and to regulation and ventilation signals. The test data were produced by
means of the class createAntigens . We will demonstrate the processing of the
system with a scenario that shows how the system adapts to co-stimulative signals for
ventilation and regulation while the behavior of the users stays unchanged.
The scenario starts with a list of 10
24 antigens which represents the input of 24
antigens (one for each hour of the day) ten times. Together with the antigens at certain
times co-stimulative signals for the regulation are sent to the system. At the beginning
of a week new signals for ventilation are prefixed and stored in the AIS which are
processed at the defined times. The settings are repeated for each week with minor
modifications to simulate the behavior of the system during several weeks. Figure 10
shows how the values of the temperature change during one day of the second week.
The first to weeks represent the initialization phase of the system.
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Fig. 10. Course of the temperature values for one day
Figure 11 shows how the system reacts on two regulation signals in the 2 nd (up by
3° C) and in the 7 th hour (down by 2° C) and on a (prefixed) ventilation signal in the
13 th hour. The ventilation signal causes the heating temperature to go down. The
system keeps the modifications by the regulation and ventilation signals and adapts
the heating and the optimal temperature in the following weeks. This is achieved by
new or mutated antibodies that are introduced into the network.
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