Context Aware Network Enabled Distributed Modeling and Simulation Framework

2007 ◽  
Author(s):  
Asad Waqar Malik ◽  
Shoab A. Khan ◽  
Sulieman Khan
Keyword(s):  
Modeling And Simulation ◽  
Context Aware ◽  
Simulation Framework ◽  
Distributed Modeling

Playback of 5G and Beyond Measured MIMO Channels by an ANN-Based Modeling and Simulation Framework

2020 ◽  
Vol 38 (9) ◽  
pp. 1945-1954 ◽  
Author(s):  
Xiongwen Zhao ◽  
Fei Du ◽  
Suiyan Geng ◽  
Zihao Fu ◽  
Zhongyu Wang ◽  
...  
Keyword(s):  
Modeling And Simulation ◽  
Simulation Framework ◽  
Mimo Channels

scholarly journals Modeling and simulation framework of aortic valve for hemodynamic evaluation of aortic root replacement surgery outcomes

2018 ◽  
Vol 51 (27) ◽  
pp. 258-263
Author(s):  
Tamás Umenhoffer ◽  
Márton Tóth ◽  
Ágota Kacsó ◽  
László Szécsi ◽  
Ákos Szlávecz ◽  
...  
Keyword(s):  
Aortic Valve ◽  
Modeling And Simulation ◽  
Aortic Root ◽  
Aortic Root Replacement ◽  
Simulation Framework ◽  
Replacement Surgery ◽  
Hemodynamic Evaluation ◽  
Surgery Outcomes

scholarly journals Modeling and simulation framework for value-based healthcare systems

SIMULATION ◽  
2018 ◽  
Vol 95 (6) ◽  
pp. 481-497 ◽  
Author(s):  
Mamadou Kaba Traoré ◽  
Gregory Zacharewicz ◽  
Raphaël Duboz ◽  
Bernard Zeigler
Keyword(s):  
Modeling And Simulation ◽  
Healthcare System ◽  
Healthcare Systems ◽  
Simulation Framework ◽  
Multiple Perspectives ◽  
Levels Of Abstraction ◽  
Holistic View ◽  
Complex Processes ◽  
Distributed Components ◽  
Parameter Values

Regardless of the coordination of its activities, a healthcare system is composed of a large number of distributed components that are interrelated by complex processes. Understanding the behavior of the overall system is becoming a major concern among healthcare managers and decision-makers. This paper presents a modeling and simulation framework to support a holistic analysis of healthcare systems through a stratification of the levels of abstraction into multiple perspectives and their integration in a common simulation framework. In each of the perspectives, models of different components of a healthcare system can be developed and coupled together. Concerns from other perspectives are abstracted as parameters, that is, we reflect the parameter values of other perspectives through explicit assumptions and simplifications in such models. Consequently, the resulting top model within each perspective can be coupled with its experimental frame to run simulations and derive results. Components of the various perspectives are integrated to provide a holistic view of the healthcare problem and system under study. The resulting global model can be coupled with a holistic experimental frame to derive results that cannot be accurately addressed in any of the perspectives taken alone. Furthermore, as we endeavored to allow perspective-specific experts to contribute to the modeling process, we took benefit of results originating from research efforts that Norbert Giambiasi initiated in the 2000s, which his PhD students further developed with their own PhD students.

scholarly journals A Multicomponent Distributed Framework for Smart Production System Modeling and Simulation

2020 ◽  
Vol 12 (17) ◽  
pp. 6969
Author(s):  
Simon Gorecki ◽  
Jalal Possik ◽  
Gregory Zacharewicz ◽  
Yves Ducq ◽  
Nicolas Perry
Keyword(s):  
Modeling And Simulation ◽  
Manufacturing Systems ◽  
Business Models ◽  
Distributed Simulation ◽  
System Modeling ◽  
Smart Manufacturing ◽  
Distributed Modeling ◽  
Simulation Techniques ◽  
Distributed Framework ◽  
And Performance

In order to control manufacturing systems, managers need risk and performance evaluation methods and simulation tools. However, these simulation techniques must evolve towards being multiperformance, multiactor, and multisimulation tools, and this requires interoperability between those distributed components. This paper presents an integrated platform that brings interoperability to several simulation components. This work expands the process modeling tool Papyrus to allow it to communicate with external components through both distributed simulation and cosimulation standards. The distributed modeling and simulation framework (DMSF) platform takes its environment into consideration in order to evaluate the sustainability of the system while integrating external heterogeneous components. For instance, a DMSF connection with external IoT devices has been implemented. Moreover, the orchestration of different smart manufacturing components and services is achieved through configurable business models. As a result, an automotive industry case study has successfully been tested to demonstrate the sustainability of smart supply chains and manufacturing factories, allowing better connectivity with their real environments.

Modeling and simulation to assist context aware system design

SIMULATION ◽  
2010 ◽  
Vol 87 (1-2) ◽  
pp. 149-170 ◽  
Author(s):  
Eleanor O'Neill ◽  
Owen Conlan ◽  
David Lewis
Keyword(s):  
Modeling And Simulation ◽  
System Design ◽  
Context Aware ◽  
Context Aware System
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