| タイトル | Architecture for Integrated Medical Model Dynamic Probabilistic Risk Assessment |
| 本文（外部サイト） | http://hdl.handle.net/2060/20160010072 |
| 著者（英） | Myers, J. G.; Arellano, J. D.; Young, M.; Jaworske, D. A.; Goodenow, D. |
| 著者所属（英） | NASA Glenn Research Center |
| 発行日 | 2016-02-08 |
| 言語 | eng |
| 内容記述 | Probabilistic Risk Assessment (PRA) is a modeling tool used to predict potential outcomes of a complex system based on a statistical understanding of many initiating events. Utilizing a Monte Carlo method, thousands of instances of the model are considered and outcomes are collected. PRA is considered static, utilizing probabilities alone to calculate outcomes. Dynamic Probabilistic Risk Assessment (dPRA) is an advanced concept where modeling predicts the outcomes of a complex system based not only on the probabilities of many initiating events, but also on a progression of dependencies brought about by progressing down a time line. Events are placed in a single time line, adding each event to a queue, as managed by a planner. Progression down the time line is guided by rules, as managed by a scheduler. The recently developed Integrated Medical Model (IMM) summarizes astronaut health as governed by the probabilities of medical events and mitigation strategies. Managing the software architecture process provides a systematic means of creating, documenting, and communicating a software design early in the development process. The software architecture process begins with establishing requirements and the design is then derived from the requirements. |
| NASA分類 | Statistics and Probability |
| レポートNO | GRC-E-DAA-TN28535 |
| 権利 | Copyright, Distribution as joint owner in the copyright |
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