Integration Implementation Mode requires commitment, responsibility, and
Sustainability Promotion Development on both sides. Resources layers within
both System Platforms can interact in high-level design integration. Therefore,
Systems Owners must acknowledge social and environmental responsibilities for
Biological Systems. Systems owners must provide Ethical Strategies and
Sustainable Social Security to protect the quality performances of Biological
Systems.
Systems Owners design and build a Surveillance Component to ensure the
quality, performance, and productivity in Non-Biological Systems (Fig1).
Systems Owners monitor Data Collection Inputs before access to the
entire System Platform: accountable data pass-through input sensor and target
for working procedure in layer resource allocation.
Satisfactory Inputs in Non-Biological Systems Pass-through Output
Channel save profile data for the Insights End-User, and Dissatisfactory Inputs
stop in the Output Channel. Critical and
discrepancy parameters are conveyed for
assessment with diagnostic tools. Unsolved complex issues can be characterized and saved for
further investigation in the Component Controller. Optimize parameters can
transfer to the Input Channel and feed-forward
to layer on system resources for automating repetitive work into automated
processes.
Intellectual integration mode with Biological Systems requires an
idealistic design for the Ethical Surveillance
System (Fig2). According to the encapsulated Surveillance System Platform,
systems owners must be responsible for Harmonic Balance for Biological Systems.
Social Input is articulated through
Algorithms beyond Global Variables pass-through Input Sensors and target
performance mode in Biological Systems. Self-reinforcing feedback measures
social values before accessing the Output
Sensor.
Satisfactory Inputs for Biological Systems save profile data output for
the System Platform. Dissatisfactory Inputs stop in the
Output Component.
Integration patterns within Biological Systems' real-life mode can
create Open-loop and vicious cycles. It is illustrated in
(Fig 3).
The system owner articulates Global Variables across the System Framework based on business owner profits.
Global variables target Biological Systems through Input components. The
failure of Global Variable implementation on Biological Systems causes
breakdown mode.
System Owners use three dynamics modeling
as follows.
1-Probation domain 2-Rehabilitation process
3-Elimination
According to an observational study, the probation domain and
rehabilitation process can be implemented to
improve and develop Biological Systems; however, these two dynamics modeling
create an automated, integrated vicious cycle with breakdown mode.
The Elimination modeling construction in the System Framework implies
complex post-traumatic stress disorder for Biological Systems, Capital
Punishment, short and long-term imprisonment, and early retirement programs.
Adding three dynamics sub-control structures would neither solve Social
Complexity nor cost-effectiveness. It establishes side effects on the
evolutionary path of Biological Systems (FIG 3). Therefore, Biological Systems
are more vulnerable than Non-Biological Systems.
An aircraft accident requires investigating saved performance parameters
in Input and output Components (Flight Data
Recorder). Global air safety structure and engine performance must be analyzed due to failure. These references identify
the causes of aircraft accidents and prevent future accidents. Nobody blames
the aircraft because the aircraft is an industrial design object and follows
flight safety instructions and security rules (Fig 1).
Similar and common metaphors on the role of control mechanisms can draw
an analogy between Biological Systems and Non-Biological Systems. Biological
systems must function and follow Global Variables, and possible breakdowns must
be investigated. Failure algorithms beyond
Global Variables cause incidents and tragedy modes in Social Contexts.
The public media may focus on scenarios around incidents and ethical
dilemmas instead of the cause of failure and multiple instances behind
breakdowns mode. The reality behind breakdown can be
ignored because many references and parameters in breakdown mode
integrate with threads of Global Variable Structure. The mystery behind Global
Variables can remain Invisible, and the truth hides beyond reality.
Observation:
Designing a higher integration level
requires more responsibilities from the Hierarchy layer.
Biological Systems in the vicious cycle
move gradually to the elimination process (FIG 3).
Enterprises with ambitious economic goals
run beyond sub-control structures (FIG 3).