A multi-paradigm decision modeling framework for combat system effectiveness measurement based on domain-specific modeling

2013 ◽  
Vol 14 (5) ◽  
pp. 311-331 ◽  
Author(s):  
Xiao-bo Li ◽  
Yong-lin Lei ◽  
Hans Vangheluwe ◽  
Wei-ping Wang ◽  
Qun Li
Keyword(s):  
Decision Modeling ◽  
Modeling Framework ◽  
Domain Specific ◽  
Domain Specific Modeling ◽  
Effectiveness Measurement ◽  
System Effectiveness ◽  
Specific Modeling

Air-Combat Decision Modeling Method Based on DSM

2014 ◽  
Vol 536-537 ◽  
pp. 416-420
Author(s):  
Lei He ◽  
Jian Yao ◽  
Yong Lin Lei
Keyword(s):  
Modeling Language ◽  
Decision Modeling ◽  
Code Generator ◽  
Concept Model ◽  
Domain Specific ◽  
Air Combat ◽  
Domain Specific Modeling ◽  
Generic Modeling ◽  
Abstract Level ◽  
Specific Modeling

Air-combat decision modeling in effectiveness simulation has to be concerned with the important feature of decision making, such as complexity, diversity, flexibility. So Several challenges have to be mastered, including: improving the abstract level of modeling, providing friendly modeling language, validating concept model and generated code (or executive model) automatically. In this paper, domain-specific modeling (DSM) method is applied in air-combat decision simulation modeling to cope with those challenges. A graphical and textual domain-specific modeling language (DSML) of air-combat decision is designed through metamodel based on an open source tool, Generic Modeling Environment (GME). A code generator is developed to implement users decision model based on python script.

scholarly journals Accelerated Predictive Healthcare Analytics with Pumas, a High Performance Pharmaceutical Modeling and Simulation Platform

2020 ◽  
Author(s):  
Chris Rackauckas ◽  
Yingbo Ma ◽  
Andreas Noack ◽  
Vaibhav Dixit ◽  
Patrick Kofod Mogensen ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Automatic Differentiation ◽  
Quantitative Relationship ◽  
Estimation Methods ◽  
Stiff Systems ◽  
Modeling Framework ◽  
Domain Specific ◽  
Wide Range ◽  
Domain Specific Modeling ◽  
Specific Modeling

AbstractPharmacometric modeling establishes causal quantitative relationship between administered dose, tissue exposures, desired and undesired effects and patient’s risk factors. These models are employed to de-risk drug development and guide precision medicine decisions. Recent technological advances rendered collecting real-time and detailed data easy. However, the pharmacometric tools have not been designed to handle heterogeneous, big data and complex models. The estimation methods are outdated to solve modern healthcare challenges. We set out to design a platform that facilitates domain specific modeling and its integration with modern analytics to foster innovation and readiness to data deluge in healthcare.New specialized estimation methodologies have been developed that allow dramatic performance advances in areas that have not seen major improvements in decades. New ODE solver algorithms, such as coefficient-optimized higher order integrators and new automatic stiffness detecting algorithms which are robust to frequent discontinuities, give rise to up to 4x performance improvements across a wide range of stiff and non-stiff systems seen in pharmacometric applications. These methods combine with JIT compiler techniques and further specialize the solution process on the individual systems, allowing statically-sized optimizations and discrete sensitivity analysis via forward-mode automatic differentiation, to further enhance the accuracy and performance of the solving and parameter estimation process. We demonstrate that when all of these techniques are combined with a validated clinical trial dosing mechanism and non-compartmental analysis (NCA) suite, real applications like NLME parameter estimation see run times halved while retaining the same accuracy. Meanwhile in areas with less prior optimization of software, like optimal experimental design, we see orders of magnitude performance enhancements. Together we show a fast and modern domain specific modeling framework which lays a platform for innovation via upcoming integrations with modern analytics.

scholarly journals Modeling for Rapid Systems Prototyping: Hospital Situational Awareness System Design

Systems ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 12
Author(s):  
Avi Shaked
Keyword(s):  
Situational Awareness ◽  
Functional System ◽  
Modeling Framework ◽  
Modeling Tools ◽  
Domain Specific ◽  
Model Based ◽  
Domain Specific Modeling ◽  
System Prototype ◽  
Specific Modeling ◽  
Awareness System

The COVID-19 pandemic caught hospitals unprepared. The need to treat patients remotely and with limited resources led hospitals to identify a gap in their operational situational awareness. During the pandemic, Israeli Aerospace Industries helped hospitals to address the gap by designing a system to support their effective operation, management and decision making. In this paper, we report on the development of a functional, working prototype of the system using model-based engineering approach and tools. Our approach relies on domain-specific modeling, incorporating metamodeling and domain-specific representations based on the problem domain’s ontology. The tools practiced are those embedded into the Eclipse Modeling Framework—specifically, Ecore Tools and Sirius. While these technological tools are typically used to create dedicated, engineering-related modeling tools, in this work, we use them to create a functional system prototype. We discuss the advantages of our approach as well as the challenges with respect to the existing tools and their underlying technology. Based on the reported experience, we encourage practitioners to adopt model-based engineering as an effective way to develop systems. Furthermore, we call researchers and tool developers to improve the state-of-the-art as well as the existing implementations of pertinent tools to support model-based rapid prototyping.

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