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This research project explores complexity of loops through global variables for systems evolution. The research analysis method bases on system theory and social cognitive orientation. An ethnographic approach is used to evaluate the experimental systems.


I am very pleased and honored to offer summary of 214case studies to The Global Society

Sunday, April 13, 2014

Time and Costs Analysis can sometimes obstruct optimality perspective



Optimal mechanisms maximize Harmonic Balance among resources and customers. It creates appropriate outputs according to system vision. Systems Owners gain a competitive advantage in short and long term when feasible mechanisms automate in entire system platform. Optimal mechanisms require statistical criterion, optimal knowledge, and optimal experiments in order to create optimal rollback algorithms and dynamic mechanisms.

Optimality criterion is based on different hypotheses, which satisfy goal setting strategies. Outputs can usually generate according to experimental model and Users' Conceptual model. 

Time and Costs Analysis are two vital criteria for assessment of optimal mechanisms because they are instance parameters of Global Variables and Competitive World. Time and Costs analysis determine and qualify eligibility requirements for optimal systems today. However, optimal mechanisms have some other requirements, which can be hidden in system assessment approach. These parameters focus on Harmonic Balance and equilibrium performances among internal and external system components. These hidden parameters ensure and distribute optimal conditions and constructive paths in system property.

The rational beyond elimination of these hidden parameters is cost-effectiveness. Harmonic Balance requires short term investment strategies; therefore, Time and Costs Analysis eliminate them in system development. 

Among others, optimality criterion focuses on designing products and security parameters in order to ensure Biological and Non-Biological safety. Optimal strategy model require that all routines through industry activities test, verify, and choose a best estimation with consistency. Outcomes show Harmonic Balance in entire entities which involve in production line model. Entities with Harmonic Balance minimize energy performances, eliminate complex algorithms, and increase efficiency.

For example, optimal product has mechanistic understanding of performances surrounding aircraft. Suppliers deliver resources to aircraft without complexity. Ground Crow provide maintenance services for optimal time. Aircrafts have hidden encapsulated position sensors. Design longer life battery for Black Box. Pilots receive available information and interact with cockpit instruments practically. Flight attendants provide best and affordable service for passengers. Quality objective for product is Passenger Convenience during flight.   

Some Parameters in product quality may sometimes eliminate by Time and Cost Analysis because some routines, processes, resources are burden in short term. ROI would be available in long term. The hidden ROI might be uncovered by business analysis on the evolutionary path of system performances.

According to observational experiences, Time and Costs Analysis would activate Survival Instinct in Biological Systems. Time and Cost Analysis has same mechanism algorithm as Survival Instinct in Biological Systems. Systems Owners conduct practice Analysis Investment, review Economic Competition, and trade-offs between ethical values and economic opportunity in their daily life. They experience in long term economy struggles that survival of organizations and System Platforms is relevant to their own survival. Consequently, Economic sustainability would illustrate path of political survival and activate Survival Instinct in Biological Systems.

Mechanism algorithms for Survival Instinct eliminate parameters, which have possible collision course with survival.
                                                                        


Observation:

Competitive World refers to Global Structure, which create by Systems Owners. It implies how System platforms supposed to operate regarding productivity, prosperity, and to become a highly competitive in the market. 
                                                            

Friday, February 14, 2014

How to convert Open-loop Control System to Closed-loop Control System in Biological Systems



Homeostatic Control System for Blood Glucose Levels is Closed-loop Control System because output is taken into consideration and Insulin automatically adjusts blood glucose level. However, Homeostatic Control System for Primary Instincts is Open-loop Control System due to output is generated based on inputs. It signals just cycles on a schedule. Human body temperature regulation sends signal and Secondary Instinct performs regularly scheduled hours for thirsty person.

According to observational study, Homeostatic Control System for Primary Instincts can convert and would go to any extent for Closed-loop Control System when parameter equations of Superego Adjuster exist within Library Selection Criteria. Homeostatic Control System for Primary Instincts is Decentralized System in terms of multiple controllers in internal and external system environment. Internal controller imply to Brain Compartment and parameter equations of Superego. External controllers imply to algorithms in social contexts, Global Variables, and algorithm parameters in Competitive World.

A good background attachment of Superego Adjuster in Homeostatic Control System for Primary Instincts can convert Open-loop Control System to Closed-loop Control System. Biological Systems with optimal Superego Adjuster deal with low-level disruption and anxiety along life´s journey.


Observation:

Parameter equations of Superego Adjuster modify Library Section Criteria but modifications of unsustainable criteria would not ensure accuracy and adjustment in Brain. The Superego Adjuster is not encapsulated component with a specific core infrastructure and it does not explore trim function like insulin in Homeostatic Control System for Blood Glucose. By the common sense, inaccuracy and complex normal distributions can be expected by an instance-oriented mechanism of Homeostatic Control System for Primary Instincts. The real world and Biological Systems are always vulnerable to non-immune characters of Homeostatic Control System for Primary Instincts. 


Observation:

The most sophisticated and complex form of codes can convert Open-loop Control System to Closed-loop Control System in Non-Biological Systems. Encrypted data scrutinize and modify paradigm for outputs. Modification is based on feedback for user modeling.

Observation: 


Optimal algorithms with parameter control mechanisms in Closed-loop Control System can minimize invisible entities in both Biological Systems and Non-Biological Systems.