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197 results for "modeling and simulation"
Modelling and Simulation By James Ron Leigh
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If you can model something, then you understand it, know what is going on inside it and, within constraints, can control it, stabilise it or protect it from the effects of disturbances I have... More > modelled a wide variety of processes using the methods described including :Metallurgical, Thermal, Shaping, Chemical, Food and Bio processes Some models were used to decide on how to improve process operation, some to drive estimators of important but unmeasurable internal process variables, some were used for prediction, some were built into on-line control systems. Many powerful tools and packages are now available to help the would-be modeller. However, the underlying ideas of how to set about modelling are basic and unchanging. This book, originally published in 1983, describes those underlying techniques in as simple a way as possible; its content was honed by interactive teaching to many years of first year graduate students< Less
Dynamic Modeling and Simulation By Bradley Burchett, Ph.D., P.E.
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A brief introduction to lumped parameter modeling of mechanical, electrical, thermal and fluid systems using ODEs. Includes chapters on first and second order system response, computer solutions,... More > frequency response and parameter identification. Concludes with a brief look at feedback control design in the time domain. Updated edition includes index. Problem pages available upon request from the author.< Less
Verification and Validation for Modeling and Simulation By Jeffrey Strickland
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This work began when I was appointed as a Technical Director for Modeling and Simulation (M&S) Verification and Validation (V&V) for a major defense system in 2008. It is intended to provide... More > the nuts and bolts of performing M&S V&V in one volume. It is not intended to provide a holistic approach to M&S V&V, as that can be derived from other sources. As such, this book assumes a basic understanding of V&V, including its place in the lifecycle, its purpose and its scope for ensuring the quality of models and simulations. During the process of developing this text, the Simulation Interoperability Standards Organization (SISO) completed SISO-GUIDE-001.2-2013, Guide for Generic Methodology for Verification and Validation (GM-VV) to Support Acceptance of Models, Simulations, and Data, 2 Volumes, June 2013. The guide does serve the purpose not covered by this book. This text provides procedural details for performing V&V. The procedures are static, dynamic and informal.< Less
Simulation Conceptual Modeling By Jeffrey Strickland
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Simulation Conceptual Modeling explores several system analysis methods and conceptual modeling techniques. It also discusses appropriate tools that may be used to assist with conceptual modeling. In... More > addition, it discusses how to evaluate the quality of a conceptual model. Some commonly used conceptual modeling techniques and methods include; Data Flow Modeling, Entity Relationship Modeling, Event-Drive Process Chain, Joint Application Development, Place/Transition Net Modeling, State Transition Modeling, Object Role Modeling, and Unified Modeling Language (UML).< Less
Using Math to Defeat the Enemy: Combat Modeling for Simulation By Jeffrey Strickland
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This book was written for the 2nd Annual Modeling and Simulation Summit, Pre-Conference Focus Day Workshop: Using Math to Defeat the Enemy: Combat Modeling for Simulation (Monday, August 29th... More > 2011). Although mathematics is key to combat model for simulation, this book provides just a cursory survey of mathematical model, and includes heuristics and other algorithms. The book covers behavior models, environmental models, communication models, target detection models, attrition model, entity and aggregate level models, and multi-resolution models. It provides examples of past and current model, simulations, and wargames to stimulate learning and discussion.< Less
Using Math to Defeat the Enemy: Combat Modeling for Simulation By Jeffrey Strickland
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This book was written for the 2nd Annual Modeling and Simulation Summit, Pre-Conference Focus Day Workshop: Using Math to Defeat the Enemy: Combat Modeling for Simulation (Monday, August 29th... More > 2011). Although mathematics is key to combat model for simulation, this book provides just a cursory survey of mathematical model, and includes heuristics and other algorithms. The book covers behavior models, environmental models, communication models, target detection models, attrition model, entity and aggregate level models, and multi-resolution models. It provides examples of past and current model, simulations, and wargames to stimulate learning and discussion.< Less
Process Performance Models - Statistical, Probablistic & Simulation By Vishnu varthanan Moorthy
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This book explains the various techniques of PPM development, simulation and optimization. All the explanations are given with IT industry and usage of alternate techniques to build PPM to suit even... More > smaller organizations. Application of Statistical, Probabilistic and Simulation models are elaborated.< Less
Remote Sensing - Simulation Modeling for Agriculture and Water Management By Amor V.M. Ines
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Physically based, field scale agro-hydrological models provide a robust way to understand the cause-effect relationships of the interrelated variables in the soil-plant-atmosphere system. One... More > weakness of field scale models is their inability to account for the heterogeneity in a system (i.e. a hydrological domain) at the regional level. This is important to overcome because of its broad implications to water management studies. In this book, a methodology was developed to address this problem using Remote Sensing – Simulation Modeling approach.< Less
Remote Sensing - Simulation Modeling for Agriculture and Water Management By Amor V.M. Ines
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Physically based, field scale agro-hydrological models provide a robust way to understand the cause-effect relationships of the interrelated variables in the soil-plant-atmosphere system. One... More > weakness of field scale models is their inability to account for the heterogeneity in a system (i.e. a hydrological domain) at the regional level. This is important to overcome because of its broad implications to water management studies. In this book, a methodology was developed to address this problem using Remote Sensing – Simulation Modeling approach.< Less
Modeling and Simulation of Healthcare Systems for Homeland Security Applications By U.S. Department of Commerce et al.
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Healthcare System models and simulations may be used to support analysis, planning, and training needs for the healthcare institutions, epidemics, and other healthcare-related emergencies. Simulation... More > models may be used to understand healthcare systems, interdependencies with other systems, their vulnerabilities, and the impact of emergency incidents on the population and healthcare community. These models and simulations will also be used to support training exercises, performance measurement, conceptual design, impact evaluation, response planning, analysis, acquisition, conceptualizing and evaluating new systems, vulnerability analysis, economic impact, and determining interdependencies between healthcare and other infrastructure systems. The goal of this document is to capture the current knowledge and information resources that can serve as a common baseline for researchers and developers of models and simulations of healthcare systems for homeland security applications.< Less