Simulation Support
Pm Consim Reorganization, Pgm Dir Training, Pdm Warrior Training et al. · 2013
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About 10,000 papers for “simulation support”
Pm Consim Reorganization, Pgm Dir Training, Pdm Warrior Training et al. · 2013
Cited by 0
1967
Cited by 6
Michael Wagner, Lorenzo Flueckiger, Laura Plice et al. · NASA Technical Reports Server (NASA)
The Mission Simulation Facility (MSF) supports research in autonomy technology for planetary exploration vehicles. Using HLA (High Level Architecture) across distributed computers, the MSF connects users autonomy algorithms with provided or third-party simulations of robotic vehicles and planetary surface environments, including onboard components and scientific instruments. Simulation fidelity is variable to meet changing needs as autonomy technology advances in Technical Readiness Level (TRL). A virtual robot operating in a virtual environment offers numerous advantages over actual hardware, including availability, simplicity, and risk mitigation. The MSF is in use by researchers at NASA Ames Research Center (ARC) and has demonstrated basic functionality. Continuing work will support the needs of a broader user base.
Cited by 10Open access
Greg Pisanich, Laura Plice, Christian Neukom et al. · 42nd AIAA Aerospace Sciences Meeting and Exhibit · 2004
The Mission Simulation Facility (MSF) supports research in autonomy technology for planetary exploration vehicles. Using HLA (High Level Architecture) across distributed computers, the MSF connects users ’ autonomy algorithms with provided or third-party simulations of robotic vehicles and planetary surface environments, including onboard components and scientific instruments. Simulation fidelity is variable to meet changing needs as autonomy technology advances in Technical Readiness Level (TRL). A virtual robot operating in a virtual environment offers numerous advantages over actual hardware, including availability, simplicity, and risk mitigation. The MSF is in use by researchers at NASA Ames Research Center (ARC) and has demonstrated basic functionality. Continuing work will support the needs of a broader user base.
Cited by 1
1968
Cited by 1
Bradford S. Canova, Peter Christensen, Michael Lee et al. · 1999
This paper describes a combined effort between The Marine Corps Systems Command (MARCORSYSCOM), the Marine Corps Operational Test and Evaluation Activity (MCOTEA) and the MITRE Corporation to exploit M&S to support Operational Test (OT) of the Predator Short Range Assault Weapon (SRAW).
Cited by 1Open access
Esmaeili Aliabadi, Danial, Çelebi, Emre, Elhüseyni, Murat et al. · Sabanci University · 2021
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David L. Hench · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Close Air Support (CAS) is the use of air power in close proximity to friendly forces against enemy combatants. CAS requires precise and detailed communication between the personnel on the ground and the air vehicles. To be useful, a network simulation should be a superposition on the planning simulations for these activities. In a CAS mission, all of the above activities are critical. A hypothetical CAS mission is modeled as an "as is" solution with stove-piped communications and a "to be" network enabled solution. A co-simulation laboratory using OPNET with SITL (SYSTEM in the Loop, cosim, JFORCES (Joint Force Operational Readiness Combat Effectiveness Simulator), and JSAF (Joint Semi-Automated Forces) simulation system is described.
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�. I. Tsvetkov · Measurement Techniques · 1985
Cited by 2
Andreas Voigt, Helena Linzer, Rainier Mayerhofer et al. · eCAADe proceedings · 2005
In this article the range of visual simulations for the competitive support is discussed and critically analysed by means of numerous definite competitions carried out within the working field of the authors  the range of experience concerning this matter covers a period of fifteen years (easily), all analysed examples were supported with the aid of CAAD/CAP-technologies. Recommendations are formulated and put forward for discussion. Furthermore the aspect of different acceptance of different presentational qualities (Levels of Detail) with the persons involved in the decision-making process are addressed (differences between socalled experts and laymen are particularly scrutinised).
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Matz, K., Clauß, C. · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · 1997
This paper presents experiences in numerical computing the index of differential-algebraic equations during simulation. Based on the tractability index a program INDEX has been created. The index definition and the algorithms via matrix orthogonalization and singular value decomposition respectively are given. Areas of application and test results from the usage of the program at a large variety of examples are reported, experiences are discussed.
Cited by 2
M. E. Kuhl, N. M. Steiger, F. B. Armstrong et al. · 2008
Simulation is a powerful tool that is used to understand and analyze the effect of changes on real systems. However, developing and using simulation models requires highlevel engineering skills. The objective of this research is to put state-of-the-art problem-solving technologies into the hands of decision makers, e.g. planners and supervisors. This paper presents a Decision Support System (DSS) that utilizes discrete-event simulation models and heuristic optimization, yet permits effective use without detailed knowledge of the methodologies. The system is developed for the Panel Shop at Northrop Grumman Ship Systems’ (NGSS) Pascagoula Operations; the shop is considered the bottleneck for the shipyard. This system focuses on two key opportunities for improvement: sequencing panel production
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Everett, Jim · UWA Profiles and Research Repository (University of Western Australia) · 1997
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Defense Technical Information Center (DTIC) · 1978
The report contains a description of the software modules that were written in support of the LAMPS SEAS Program. Most of these modules represent simulated avionics hardware devices. In addition, there is an Input/Output Executive and a Data Collection module. Included in the body of the report are descriptions of each module, flow charts, and a profile listing of each module. (Author)
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Pascal Anzieu, M. Marquès, A. V. Budnikov et al. · Springer Link (Chiba Institute of Technology) · 2014
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Hale, Ronald E. · Defense Technical Information Center (DTIC) · 2001
Proceedings from 3rd Simulation Based Acquisition conference, 15-17 May 2001, sponsored by NDIA. --Original contains color plates: All DTIC reproductions will be in black and white. Contains Viewgraphs Only.
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Bazin de Jessey, Laurent, Debache, Gilles · Defense Technical Information Center (DTIC) · 2003
Dassault Aviation uses different software tools as decision-support system for several goals in the logistics support simulation area. A great number of such tools are based on complex mathematical methods that nevertheless required simplification assumptions for the simulated model. They are often irrelevant for logistics network with very erratic behaviors (small fleets for example) where the "steady state" approach is not usable. During the last years software providers have disseminated cheap tools based on Monte Carlo approach which allow to perform, in a very short time, a great number of types of simulation related to Operations Research. "Simulation of Aircraft Deployment Support" (SADS) was developed by the Military Customer Support Division of Dassault Aviation to perform simulations for logistics deployment and support analysis of aircraft sustainment. The SADS tool includes animated visualizations, and is based on the common used ARENA software (Systems Modeling Corporation) dedicated to modelling and simulation.
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Heimo H. Adelsberger · Universitätsbibliographie, Universität Duisburg-Essen · 1982
An Ada Simulation Support Environment (ASSE) is presented. It covers all forms of combined continuous and discrete modeling techniques, including a transaction flow part. The ASSE is applicable on two levels: on a lower level using different subprogram packages and on a higher level, using interactive model design and verification packages as well as interfaces to data base managers, graphics and statistical analysis systems. For the lower level packages the stress is layed on clear, simple, universal and nonrestricted concepts; for the higher level packages on the fact, that simulation is a human activity, where the man in the middle has to be supported.
Cited by 5
Yong Sun, Hong‐Fu Wang, Shaopan Zhang et al. · 2022
According to the needs of the field of equipment support simulation, this paper proposes a design method of equipment support simulation support software, and realizes the corresponding software based on this method. The method includes equipment support simulation initialization and data receiving module, equipment support equipment simulation module, equipment support command simulation module, ammunition and equipment support simulation module, rescue and repair support simulation module. Based on this method, the problem of equipment support simulation can be solved.
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Yong Sun, Shaopan Zhang, Guang‐Zhao Lu et al. · 2023
In the process of system of systems simulation, logistics equipment support simulation is an important part. To meet the needs of logistics support simulation, this paper proposes a design method of logistics support simulation support software, and implements corresponding software based on this me
Cited by 1Open access