How Should Life Support Be Modeled and Simulated?

Why do most space life support research groups build and investigate large models for systems simulation? The need for them seems accepted, but are we asking the right questions and solving the real problems? The modeling results leave many questions unanswered. How then should space life support be modeled and simulated? Life support system research and development uses modeling and simulation to study dynamic behavior as part of systems engineering and analysis. It is used to size material flows and buffers and plan contingent operations. A DoD sponsored study used the systems engineering approach to define a set of best practices for modeling and simulation. These best practices describe a systems engineering process of developing and validating requirements, defining and analyzing the model concept, and designing and testing the model. Other general principles for modeling and simulation are presented. Some specific additional advice includes performing a static analysis before developing a dynamic simulation, applying the mass and energy conservation laws, modeling on the appropriate system level, using simplified subsystem representations, designing the model to solve a specific problem, and testing the model on several different problems. Modeling and simulation is necessary in life support design but many problems are outside its scope

Energy Modeling and Implementation of Complex Building Systems, Pt. 2

Complex/dynamic systems and technologies are gaining traction in architecture, but accurate analysis and simulation of conflicting dynamic systems within a building model has yet to be achieved. Most ideas of analysis and simulation revolve around a set process: model one instance of a building (i.e. without changing parameters) and analyze in a separate program. The use of a parametric base for analysis/simulation plugins, as well as an easily manipulatable and responsive model would not only further the accuracy of testing the effects of multiple dynamic systems, but become a new tool that merges model, behavior, analysis and simulation to strive for efficient implementation of these technologies and act as a platform for testing systems’ compensation for introduced variables (bio-responsiveness, enviro-responsiveness, manipulability, system responsiveness). My method for testing this system utilizes Grasshopper, which excels at: providing a base for parametric plugins linking ‘static’ software, using data trees for complex behavioral modeling, and easing the manipulability of a parametric model. This method for analysis and optimization would facilitate the efficient implementation of dynamic/advanced/sustainable technologies in any number of building typologies

Energy Modeling and Implementation of Complex Building Systems, Pt. 3

Complex/dynamic systems and technologies are gaining traction in architecture, but accurate analysis and simulation of conflicting dynamic systems within a building model has yet to be achieved. Most ideas of analysis and simulation revolve around a set process: model one instance of a building (i.e. without changing parameters) and analyze in a separate program. The use of a parametric base for analysis/simulation plugins, as well as an easily manipulatable and responsive model would not only further the accuracy of testing the effects of multiple dynamic systems, but become a new tool that merges model, behavior, analysis and simulation to strive for efficient implementation of these technologies and act as a platform for testing systems’ compensation for introduced variables (bio-responsiveness, enviro-responsiveness, manipulability, system responsiveness). My method for testing this system utilizes Grasshopper, which excels at: providing a base for parametric plugins linking ‘static’ software, using data trees for complex behavioral modeling, and easing the manipulability of a parametric model. This method for analysis and optimization would facilitate the efficient implementation of dynamic/advanced/sustainable technologies in any number of building typologies

Energy Modeling and Implementation of Complex Building Systems, Pt. 1

Complex/dynamic systems and technologies are gaining traction in architecture, but accurate analysis and simulation of conflicting dynamic systems within a building model has yet to be achieved. Most ideas of analysis and simulation revolve around a set process: model one instance of a building (i.e. without changing parameters) and analyze in a separate program. The use of a parametric base for analysis/simulation plugins, as well as an easily manipulatable and responsive model would not only further the accuracy of testing the effects of multiple dynamic systems, but become a new tool that merges model, behavior, analysis and simulation to strive for efficient implementation of these technologies and act as a platform for testing systems’ compensation for introduced variables (bio-responsiveness, enviro-responsiveness, manipulability, system responsiveness). My method for testing this system utilizes Grasshopper, which excels at: providing a base for parametric plugins linking ‘static’ software, using data trees for complex behavioral modeling, and easing the manipulability of a parametric model. This method for analysis and optimization would facilitate the efficient implementation of dynamic/advanced/sustainable technologies in any number of building typologies

Energy Modeling and Implementation of Complex Building Systems

Complex/dynamic systems and technologies are gaining traction in architecture, but accurate analysis and simulation of conflicting dynamic systems within a building model has yet to be achieved. Most ideas of analysis and simulation revolve around a set process: model one instance of a building (i.e. without changing parameters) and analyze in a separate program. The use of a parametric base for analysis/simulation plugins, as well as an easily manipulatable and responsive model would not only further the accuracy of testing the effects of multiple dynamic systems, but become a new tool that merges model, behavior, analysis and simulation to strive for efficient implementation of these technologies and act as a platform for testing systems’ compensation for introduced variables (bio-responsiveness, enviro-responsiveness, manipulability, systemresponsiveness). My method for testing this system utilizes Grasshopper, which excels at: providing a base for parametric plugins linking ‘static’ software, using data trees for complex behavioral modeling, and easing the manipulability of a parametric model. This method for analysis and optimization would facilitate the efficient implementation of dynamic/advanced/sustainable technologies in any number of building typologies

Система оцінювання та прогнозування надійності програмного забезпечення

In this paper the architecture and implementation of the software system for software reliability evaluation and prediction based on mathematical reliability model with dynamic index of the software project size have been presented. The system gives the opportunity to computerize the experimental data processing and to evaluate the adequacy of the software testing process

Kinetics of reduction and oxidation reactions during pyrometallurgical metal extraction

The article deals with a sophisticated approach to the study of basic kinetic dynamic process in metal production. It is concerned with three agendas: study of reduction reactions of iron oxides and carbon as reducing agents with secondary created oxides; study of the effect of catalyst occurrence on the reaction space; study of the effect of variable temperature and pressure gradients on the processes. The main experiments were carried out in the newly established Laboratory for Research on High Temperature Properties equipped with testing setup and upgraded with interpretive model system, enabling a generalization of experimentally obtained information to theoretical conclusions about processing of non-standard alternative and waste materials.Web of Science2442018200

Determining Program Study Using AHP with Dynamic Criterias and Weights Based on GIS-Mobile

This research aim to develop a decision support system based on GIS-Mobile Apps using Analytical Hierarchy Process (AHP) Algorithm and softmax function for dynamic weight. The stages of AHP dynamic criteria in this system is the preparation of a hierarchy, prioritization, consistency, and the weight of priority. ). The use of AHP in this system involves four criteria which keywords, department accreditation, accreditation of colleges and colleges location distance that can be set by the user dynamically. Experience Programming (XP) is model development that choosed by author for process development system. The step begin with planning, design, coding, and testing. The result of this research is a GIS-Mobile Apps to determine a list of recommended program study with the greatest weight from user input criteria