Life System Modeling And Simulation

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Life System Modeling and Simulation

Author : Shiwei Ma,Li Jia,Xin Li,Ling Wang,Huiyu Zhou,Xin Sun
Publisher : Springer
Page : 426 pages
File Size : 49,7 Mb
Release : 2014-10-01
Category : Computers
ISBN : 9783662452837

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Life System Modeling and Simulation by Shiwei Ma,Li Jia,Xin Li,Ling Wang,Huiyu Zhou,Xin Sun Pdf

This book constitutes the first part of the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2014, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2014, held in Shanghai, China, in September 2014. The 159 revised full papers presented in the three volumes of CCIS 461-463 were carefully reviewed and selected from 572 submissions. The papers of this volume are organized in topical sections on biomedical signal processing, imaging, and visualization; computational methods and intelligence in modeling genetic and chemical networks and regulation; computational methods and intelligence in organism modeling; computational methods and intelligence in modeling and design of synthetic biological systems; computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering; intelligent medical apparatus and clinical applications; modeling and simulation of societies and collective behaviour; innovative education in systems modeling and simulation; data analysis and data mining of biosignals; feature selection; robust optimization and data analysis.

Modeling and Simulation in the Systems Engineering Life Cycle

Author : Margaret L. Loper
Publisher : Springer
Page : 410 pages
File Size : 48,5 Mb
Release : 2015-04-30
Category : Computers
ISBN : 9781447156345

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Modeling and Simulation in the Systems Engineering Life Cycle by Margaret L. Loper Pdf

This easy to read text provides a broad introduction to the fundamental concepts of modeling and simulation (M&S) and systems engineering, highlighting how M&S is used across the entire systems engineering lifecycle. Features: reviews the full breadth of technologies, methodologies and uses of M&S, rather than just focusing on a specific aspect of the field; presents contributions from specialists in each topic covered; introduces the foundational elements and processes that serve as the groundwork for understanding M&S; explores common methods and methodologies used in M&S; discusses how best to design and execute experiments, covering the use of Monte Carlo techniques, surrogate modeling and distributed simulation; explores the use of M&S throughout the systems development lifecycle, describing a number of methods, techniques, and tools available to support systems engineering processes; provides a selection of case studies illustrating the use of M&S in systems engineering across a variety of domains.

Life System Modeling and Simulation

Author : Minrui Fei,George W. Irwin,Shiwei Ma
Publisher : Springer Science & Business Media
Page : 580 pages
File Size : 44,5 Mb
Release : 2007-08-30
Category : Computers
ISBN : 9783540747703

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Life System Modeling and Simulation by Minrui Fei,George W. Irwin,Shiwei Ma Pdf

This book is part of a two-volume work that constitutes the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2007, held in Shanghai, China, September 2007. Coverage includes modeling and simulation of societies and collective behavior, computational methods and intelligence in biomechanical systems, tissue engineering and clinical bioengineering, computational intelligence in bioinformatics and biometrics, and brain stimulation.

Life System Modeling and Intelligent Computing

Author : Kang Li,Xin Li,Shiwei Ma,George W. Irwin
Publisher : Springer Science & Business Media
Page : 279 pages
File Size : 53,5 Mb
Release : 2010-09-03
Category : Science
ISBN : 9783642158520

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Life System Modeling and Intelligent Computing by Kang Li,Xin Li,Shiwei Ma,George W. Irwin Pdf

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Susta- able Energy and Environment (ICSEE 2010) were formed to bring together resear- ers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system mod- ing and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

Life System Modeling and Intelligent Computing

Author : Kang Li,Li Jia,Xin Sun,Minrui Fei,George W. Irwin
Publisher : Springer Science & Business Media
Page : 736 pages
File Size : 44,7 Mb
Release : 2010-09-02
Category : Computers
ISBN : 9783642156144

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Life System Modeling and Intelligent Computing by Kang Li,Li Jia,Xin Sun,Minrui Fei,George W. Irwin Pdf

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

Advanced Computational Methods in Life System Modeling and Simulation

Author : Minrui Fei,Shiwei Ma,Xin Li,Xin Sun,Li Jia,Zhou Su
Publisher : Springer
Page : 615 pages
File Size : 48,8 Mb
Release : 2017-09-01
Category : Computers
ISBN : 9789811063701

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Advanced Computational Methods in Life System Modeling and Simulation by Minrui Fei,Shiwei Ma,Xin Li,Xin Sun,Li Jia,Zhou Su Pdf

The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Life System Modeling and Intelligent Computing

Author : Kang Li,Li Jia,Xin Sun
Publisher : Unknown
Page : 740 pages
File Size : 42,9 Mb
Release : 2011-03-13
Category : Electronic
ISBN : 3642156169

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Life System Modeling and Intelligent Computing by Kang Li,Li Jia,Xin Sun Pdf

Life System Modeling and Intelligent Computing

Author : Minrui Fei,Li Jia,George W. Irwin
Publisher : Springer Science & Business Media
Page : 540 pages
File Size : 43,5 Mb
Release : 2010-09
Category : Business & Economics
ISBN : 9783642155963

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Life System Modeling and Intelligent Computing by Minrui Fei,Li Jia,George W. Irwin Pdf

This book is part II of a two-volume work that contains the refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2010 and the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2010, held in Wuxi, China, in September 2010. The 194 revised full papers presented were carefully reviewed and selected from over 880 submissions and recommended for publication by Springer in two volumes of Lecture Notes in Computer Science (LNCS) and one volume of Lecture Notes in Bioinformatics (LNBI). This particular volume of Lecture Notes in Computer Science (LNCS) includes 55 papers covering 7 relevant topics. The 56 papers in this volume are organized in topical sections on advanced evolutionary computing theory and algorithms; advanced neural network and fuzzy system theory and algorithms; modeling and simulation of societies and collective behavior; biomedical signal processing, imaging, and visualization; intelligent computing and control in distributed power generation systems; intelligent methods in power and energy infrastructure development; intelligent modeling, monitoring, and control of complex nonlinear systems.

Modeling and Simulation Based Life-Cycle Engineering

Author : Ken Chong,Harold S. Morgan,Sunil Saigal,Stefan Thynell
Publisher : CRC Press
Page : 364 pages
File Size : 50,5 Mb
Release : 2001-12-20
Category : Architecture
ISBN : 0415266440

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Modeling and Simulation Based Life-Cycle Engineering by Ken Chong,Harold S. Morgan,Sunil Saigal,Stefan Thynell Pdf

Advances in computational power have facilitated the development of simulations unprecedented in their computational size, scope of technical issues, spatial and temporal resolution, complexity and comprehensiveness. As a result, complex structures from airplanes to bridges can be almost completely based on model-based simulations. This book gives a state-of-the-art account of modeling and simulation of the life cycle of engineered systems, covering topics of design, fabrication, maintenance and disposal. Providing comprehensive coverage of this rapidly emerging field, Modeling and Simulation-Based Life Cycle Engineering is essential reading for civil, mechanical and manufacturing engineers. It will also appeal to students and academics in this area.

Mathematics in Medicine and the Life Sciences

Author : Frank C. Hoppensteadt,Charles S. Peskin
Publisher : Springer Science & Business Media
Page : 257 pages
File Size : 50,5 Mb
Release : 2013-03-09
Category : Mathematics
ISBN : 9781475741315

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Mathematics in Medicine and the Life Sciences by Frank C. Hoppensteadt,Charles S. Peskin Pdf

The aim of this book is to introduce the subject of mathematical modeling in the life sciences. It is intended for students of mathematics, the physical sciences, and engineering who are curious about biology. Additionally, it will be useful to students of the life sciences and medicine who are unsatisfied with mere description and who seek an understanding of biological mechanism and dynamics through the use of mathematics. The book will be particularly useful to premedical students, because it will introduce them not only to a collection of mathematical methods but also to an assortment of phenomena involving genetics, epidemics, and the physiology of the heart, lung, and kidney. Because of its introductory character, mathematical prerequisites are kept to a minimum; they involve only what is usually covered in the first semester of a calculus sequence. The authors have drawn on their extensive experience as modelers to select examples which are simple enough to be understood at this elementary level and yet realistic enough to capture the essence of significant biological phenomena drawn from the areas of population dynamics and physiology. Because the models presented are realistic, the book can serve not only as an introduction to mathematical methods but also as a mathematical introduction to the biological material itself. For the student, who enjoys mathematics, such an introduction will be far more stimulating and satisfying than the purely descriptive approach that is traditional in the biological sciences.

Life System Modeling and Intelligent Computing

Author : Kang Li,Li Jia,Xin Sun,Minrui Fei,George W. Irwin
Publisher : Springer
Page : 719 pages
File Size : 40,7 Mb
Release : 2010-09-14
Category : Computers
ISBN : 9783642156151

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Life System Modeling and Intelligent Computing by Kang Li,Li Jia,Xin Sun,Minrui Fei,George W. Irwin Pdf

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

Life System Modeling and Intelligent Computing

Author : Minrui Fei,Li Jia,George W. Irwin
Publisher : Springer
Page : 518 pages
File Size : 43,9 Mb
Release : 2010-09-08
Category : Computers
ISBN : 9783642155970

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Life System Modeling and Intelligent Computing by Minrui Fei,Li Jia,George W. Irwin Pdf

The 2010 International Conference on Life System Modeling and Simulation (LSMS 2010) and the 2010 International Conference on Intelligent Computing for Sustainable Energy and Environment (ICSEE 2010) were formed to bring together researchers and practitioners in the fields of life system modeling/simulation and intelligent computing applied to worldwide sustainable energy and environmental applications. A life system is a broad concept, covering both micro and macro components ra- ing from cells, tissues and organs across to organisms and ecological niches. To c- prehend and predict the complex behavior of even a simple life system can be - tremely difficult using conventional approaches. To meet this challenge, a variety of new theories and methodologies have emerged in recent years on life system modeling and simulation. Along with improved understanding of the behavior of biological systems, novel intelligent computing paradigms and techniques have emerged to h- dle complicated real-world problems and applications. In particular, intelligent c- puting approaches have been valuable in the design and development of systems and facilities for achieving sustainable energy and a sustainable environment, the two most challenging issues currently facing humanity. The two LSMS 2010 and ICSEE 2010 conferences served as an important platform for synergizing these two research streams.

Modeling Life

Author : Alan Garfinkel,Jane Shevtsov,Yina Guo
Publisher : Springer
Page : 445 pages
File Size : 51,6 Mb
Release : 2017-09-06
Category : Mathematics
ISBN : 9783319597317

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Modeling Life by Alan Garfinkel,Jane Shevtsov,Yina Guo Pdf

This book develops the mathematical tools essential for students in the life sciences to describe interacting systems and predict their behavior. From predator-prey populations in an ecosystem, to hormone regulation within the body, the natural world abounds in dynamical systems that affect us profoundly. Complex feedback relations and counter-intuitive responses are common in nature; this book develops the quantitative skills needed to explore these interactions. Differential equations are the natural mathematical tool for quantifying change, and are the driving force throughout this book. The use of Euler’s method makes nonlinear examples tractable and accessible to a broad spectrum of early-stage undergraduates, thus providing a practical alternative to the procedural approach of a traditional Calculus curriculum. Tools are developed within numerous, relevant examples, with an emphasis on the construction, evaluation, and interpretation of mathematical models throughout. Encountering these concepts in context, students learn not only quantitative techniques, but how to bridge between biological and mathematical ways of thinking. Examples range broadly, exploring the dynamics of neurons and the immune system, through to population dynamics and the Google PageRank algorithm. Each scenario relies only on an interest in the natural world; no biological expertise is assumed of student or instructor. Building on a single prerequisite of Precalculus, the book suits a two-quarter sequence for first or second year undergraduates, and meets the mathematical requirements of medical school entry. The later material provides opportunities for more advanced students in both mathematics and life sciences to revisit theoretical knowledge in a rich, real-world framework. In all cases, the focus is clear: how does the math help us understand the science?

Modeling and Simulation of Systems Using MATLAB and Simulink

Author : Devendra K. Chaturvedi
Publisher : CRC Press
Page : 734 pages
File Size : 41,6 Mb
Release : 2017-12-19
Category : Computers
ISBN : 9781439806739

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Modeling and Simulation of Systems Using MATLAB and Simulink by Devendra K. Chaturvedi Pdf

Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB® and Simulink® provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book.

Research Challenges in Modeling and Simulation for Engineering Complex Systems

Author : Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal
Publisher : Springer
Page : 119 pages
File Size : 45,5 Mb
Release : 2017-08-18
Category : Computers
ISBN : 9783319585444

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Research Challenges in Modeling and Simulation for Engineering Complex Systems by Richard Fujimoto,Conrad Bock,Wei Chen,Ernest Page,Jitesh H. Panchal Pdf

This illuminating text/reference presents a review of the key aspects of the modeling and simulation (M&S) life cycle, and examines the challenges of M&S in different application areas. The authoritative work offers valuable perspectives on the future of research in M&S, and its role in engineering complex systems. Topics and features: reviews the challenges of M&S for urban infrastructure, healthcare delivery, automated vehicle manufacturing, deep space missions, and acquisitions enterprise; outlines research issues relating to conceptual modeling, covering the development of explicit and unambiguous models, communication and decision-making, and architecture and services; considers key computational challenges in the execution of simulation models, in order to best exploit emerging computing platforms and technologies; examines efforts to understand and manage uncertainty inherent in M&S processes, and how these can be unified under a consistent theoretical and philosophical foundation; discusses the reuse of models and simulations to accelerate the simulation model development process. This thought-provoking volume offers important insights for all researchers involved in modeling and simulation across the full spectrum of disciplines and applications, defining a common research agenda to support the entire M&S research community.