Sunday, March 13, 2011

The role of control mechanisms in biological systems and non-biological systems



Integration mode requires commitment, responsibility, and sustainability promotion program on both sides. Systems owners integrate to biological systems through social security numbers; therefore, systems owners oblige to acknowledge social and environmental responsibilities for biological systems. Systems owners suppose to provide ethical strategies for protecting and caring quality performance of biological systems.
Systems owners design Component Controller (Surveillance Component) for ensuring the quality performance and productivity of non-biological systems according to (Fig1). It follows in the next section.
Data collection input may grant permission prior to access input sensor by system owner. Reliable and accountable data pass-through input sensor and target for working process in layer resource allocation. Sensed value produces for array evaluation mode prior to access output sensor. Satisfactory output quality values pass-through Output Component and save profile data output in Component Controller. Dissatisfactory output quality values stops in Output Component. Critical and discrepancy parameters transfer for assessment in Component Controller. Complexity profile parameters save and diagnostic tools assess error codes. Unsolved complex issues can characterize and save for further investigation in Component Controller. Improve and optimize parameters can transfer to Input Component and feed-forward to layer on system resource in order to automate repetitive work process.
Intellectual integration mode with biological systems requires idealistic ethical surveillance system design (Fig2). It follows in the next section.
Systems owners must be responsible for harmonic balance of biological systems according to surveillance system design-integration and global pattern.
Social input articulate through global variables by systems owners and pass-through input sensor and target performance mode in biological systems. Self-reinforcing feedback measures social values prior to access output sensor.
Satisfactory output quality values pass-through Output Component to social network and save profile data output for system owner. Dissatisfactory output quality values stops in Output Component. Critical and discrepancy parameters can deliver for assessment solutions on layer of system owner. Critical parameters save and diagnostic tools assess error codes and profile of complexity. Unsolved complex issues can characterize and establish for further investigation by social experts. Optimized parameters can transfer to Input Component and feed-forward to biological systems in order to automate repetitive work process.
Integration patterns in real-life mode in biological systems create open loop and vicious cycle illustrates in (Fig3). It follows in the next section.
Open loop and vicious cycle hamper harmonic balance for biological systems. System owner articulates global variables, which base on business owner profits, cross system framework. Global variables target biological systems through Input Component. Failure of global variable implementation on biological systems cause breakdown mode due to ignorance of harmonic balance on biological systems.
Add three dynamics modeling and design control structures for inevitable breakdown modes are as follows.
1-Probation domain 2-Rehabilitation process 3-Elimination
According to observation study, probation domain and rehabilitation process implement for improvement and development of biological systems; however, these two dynamics modeling create automated, integrated a vicious cycle with breakdown mode.
Elimination modeling construction in system framework implies for example: setup guidelines and symptoms of complex posttraumatic stress disorder, create low variety of colorful social fun and activities, setup a fake crime scene for biological systems, death penalty and capital punishment, short- and long-term imprisonment, early retirement programs.
Add three dynamics sub-control structures would not improve error rate performance. Control structures are not cost-effective for biological systems either. Dynamic control structures can establish parameter side-effects on the evolutionary path of biological systems (FIG3).
Sub-control structures and process can end up in an open loop. Biological systems would not be monitored by output sensor because of high costs of social surveillance and low global awareness; therefore, biological systems are more vulnerable than non-biological systems (FIG3). Non-biological systems produce ROI and profits for financial planner and biological systems seem a burden on broken shoulders for system owner.
Occurrence of a breakdown in non-biological systems requires intensive assessment on saved critical parameters in Input Component, Output Component, and system monitoring tools in Component Controller.
For example, aircraft accident requires investigation of saved key performance parameters in Input, Output Components (Flight Data Recorder). Global air safety structure and engine performance must analyze due to failure. These references identify causes of aircraft accident and prevent future accidents. Nobody put blame on aircraft itself because aircraft is industrial design object and follow flight safety instructions, and security rules (Fig1).
Similar and common metaphors on role of control mechanisms can draw an analogy between biological systems and non-biological systems. High integration of biological systems in system platform creates analogical functions and semantics of analogical state. Biological systems must function and follow global instruction similar to non-biological systems. Global variable structure, most common causes of breakdown, and multiple instances behind breakdowns must be investigated when a breakdown occurs for biological systems.
It is quite pathetic that public media may focus on parameter failures in biological systems, breakdown mode scenario, and ethical dilemma transparency. Cause of failure and multiple instances behind breakdowns mode ignore in public social media because many references and parameters in breakdown mode integrate with threads and instances of global variable structure. Mystery behind global variables can remain invisible and system elements would allow biological systems in crisis to bear witness the truth beyond reality.
Observation:
Design higher integration level requires more responsibilities from hierarchy layer.
Biological systems in vicious cycle move gradually to elimination process (FIG3).
Enterprises with ambitious economic goals run beyond sub-control structures (FIG3).

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