The isolated system architecture design ensures that external forces can
avoid system environments. A closed system keeps internal resources away from
External Forces. Information about internal system activities is hardly
available within the system boundary. Capturing system performance input and output
parameter settings would take much work. Therefore, Silent Research exploits
for capturing information through algorithms beyond Global Variables within
Isolated Systems.
The silent research approach is initiated and conducted according to criteria and opportunity methods.
Isolated systems can respond to external stimulation through various
algorithms, which reveal security measures beyond Global Variables.
The outcome processing algorithms and patterns can determine the value
of a parameter in system performances and diagnose invisible entities in system
environments through distance tests and prognosis.
Observation:
Identify suppliers and sub-partners for Isolated Systems because
algorithms beyond work processes can sometimes spot and reflect algorithms
beyond Global Variables in Isolated Systems. The Stimulate Response
experimental approach in subcomponents can detect algorithms beyond Global
Variables. There are always threads between Global Variables in subcomponents
and Global Variables in Isolated Systems. It is easier to manipulate
subcomponents than central control systems.
