Systems Analysis And Modeling

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Author: Donald W. Boyd
Publisher: Elsevier
ISBN: 9780080518398
Size: 48.84 MB
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Systems Analysis And Modeling by Donald W. Boyd

Original Title: Systems Analysis And Modeling

Systems Analysis and Modeling presents a fresh, new approach to systems analysis and modeling with a systems science flavor that stimulates systems thinking. After introducing systems modeling principles, the ensuing wide selection of examples aptly illustrate that anything which changes over time can be modeled as a system. Each example begins with a knowledge base that displays relevant information obtained from systems analysis. The diversity of examples clearly establishes a new protocol for synthesizing systems models. Macro-to-micro, top-down approach Multidisciplinary examples Incorporation of human knowledge to synthesise a systems model Clear and concise systems delimitation Complex systems using simple mathematics "Exact" reproduction of historical data plus model generated secondary data Systems simulation via systems models

Systems Analysis And Modeling In Food And Agriculture

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Author: K.C.Ting
Publisher: EOLSS Publications
ISBN: 1848261330
Size: 13.24 MB
Format: PDF
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Systems Analysis And Modeling In Food And Agriculture by K.C.Ting

Original Title: Systems Analysis And Modeling In Food And Agriculture

Systems Analysis and Modeling in Food and Agriculture is a component of Encyclopedia of Food and Agricultural Sciences, Engineering and Technology Resources in the global Encyclopedia of Life Support Systems (EOLSS), which is an integrated compendium of twenty one Encyclopedias. Systems analysis and modeling is being used increasingly in understanding and solving problems in food and agriculture. The purpose of systems analysis is to support decisions by emphasizing the interactions of processes and components within a system. Frequently investigated systems level questions in agriculture and food are relevant to the 6 E's: Environment, Energy, Ecology, Economics, Education, and Efficiency. The theme on Systems Analysis and Modeling in Food and Agriculture with contributions from distinguished experts in the field provides information on key topics related to food and agricultural system. The coverage include an overview of food system; system level aspects related to energy, environment, and social/policy issues; knowledge bases and decision support; computer models for crops, food processing, water resources, and agricultural meteorology; collection and analysis methods for data from field experiments; use of models and information systems. This volume is aimed at the following a wide spectrum of audiences from the merely curious to those seeking in-depth knowledge: University and College students Educators, Professional practitioners, Research personnel and Policy analysts, managers, and decision makers and NGOs.

Information Systems Analysis And Modeling

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Author: Vladimir S. Lerner
Publisher: Springer Science & Business Media
ISBN: 1461546397
Size: 19.41 MB
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Information Systems Analysis And Modeling by Vladimir S. Lerner

Original Title: Information Systems Analysis And Modeling

Informational Macrodynamics (IMD) presents the unified information systemic approach with common information language for modeling, analysis and optimization of a variety of interactive processes, such as physical, biological, economical, social, and informational, including human activities. Comparing it with thermodynamics, which deals with transformation energy and represents a theoretical foundation of physical technology, IMD deals with transformation information, and can be considered a theoretical foundation of Information Computer Technology (ICT). ICT includes but is not limited to applied computer science, computer information systems, computer and data communications, software engineering, and artificial intelligence. In ICT, information flows from different data sources, and interacts to create new information products. The information flows may interact physically or via their virtual connections, initiating an information dynamic process that can be distributed in space. As in physics, a problem is understanding general regularities of the information processes in terms of information law, for the engineering and technological design, control, optimization, and development of computer technology, operations, manipulations, and management of real information objects. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach belongs to an interdisciplinary science that represents the new theoretical and computer-based methodology for system informational description and improvement, including various activities in such interdisciplinary areas as thinking, intelligent processes, management, and other nonphysical subjects with their mutual interactions, informational superimpositions, and the information transferred between interactions. Information Systems Analysis and Modeling: An Informational Macrodynamics Approach can be used as a textbook or secondary text in courses on computer science, engineering, business, management, education, and psychology and as a reference for research and industry.

Transportation Systems Analysis

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Author: Ennio Cascetta
Publisher: Springer Science & Business Media
ISBN: 0387758577
Size: 66.66 MB
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Transportation Systems Analysis by Ennio Cascetta

Original Title: Transportation Systems Analysis

"This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation community, including students, teachers, and practitioners." Moshe Ben-Akiva, Massachusetts Institute of Technology.

Embedded Systems

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Author: Fabrice Kordon
Publisher: John Wiley & Sons
ISBN: 1118569717
Size: 57.26 MB
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Embedded Systems by Fabrice Kordon

Original Title: Embedded Systems

Since the construction of the first embedded system in the 1960s, embedded systems have continued to spread. They provide a continually increasing number of services and are part of our daily life. The development of these systems is a difficult problem which does not yet have a global solution. Another difficulty is that systems are plunged into the real world, which is not discrete (as is generally understood in computing), but has a richness of behaviors which sometimes hinders the formulation of simplifying assumptions due to their generally autonomous nature and they must face possibly unforeseen situations (incidents, for example), or even situations that lie outside the initial design assumptions. Embedded Systems presents the state of the art of the development of embedded systems and, in particular, concentrates on the modeling and analysis of these systems by looking at “model-driven engineering”, (MDE2): SysML, UML/MARTE and AADL. A case study (based on a pacemaker) is presented which enables the reader to observe how the different aspects of a system are addressed using the different approaches. All three systems are important in that they provide the reader with a global view of their possibilities and demonstrate the contributions of each approach in the different stages of the software lifecycle. Chapters dedicated to analyzing the specification and code generation are also presented. Contents Foreword, Brian R. Larson. Foreword, Dominique Potier. Introduction, Fabrice Kordon, Jérôme Hugues, Agusti Canals and Alain Dohet. Part 1. General Concepts 1. Elements for the Design of Embedded Computer Systems, Fabrice Kordon, Jérôme Hugues, Agusti Canals and Alain Dohet. 2. Case Study: Pacemaker, Fabrice Kordon, Jérôme Hugues, Agusti Canals and Alain Dohet. Part 2. SysML 3. Presentation of SysML Concepts, Jean-Michel Bruel and Pascal Roques. 4. Modeling of the Case Study Using SysML, Loïc Fejoz, Philippe Leblanc and Agusti Canals. 5. Requirements Analysis, Ludovic Apvrille and Pierre De Saqui-Sannes. Part 3. MARTE 6. An Introduction to MARTE Concepts, Sébastien Gérard and François Terrier. 7. Case Study Modeling Using MARTE, Jérôme Delatour and Joël Champeau. 8. Model-Based Analysis, Frederic Boniol, Philippe Dhaussy, Luka Le Roux and Jean-Charles Roger. 9. Model-Based Deployment and Code Generation, Chokri Mraidha, Ansgar Radermacher and Sébastien Gérard. Part 4. AADL 10. Presentation of the AADL Concepts, Jérôme Hugues and Xavier Renault. 11. Case Study Modeling Using AADL, Etienne Borde. 12. Model-Based Analysis, Thomas Robert and Jérôme Hugues. 13. Model-Based Code Generation, Laurent Pautet and Béchir Zalila. About the Authors Fabrice Kordon is Professor at University Pierre and Marie Curie in Paris, France, where he is in charge of the team “Modélisation et vérification” of the LIP6. His research field is at the crossroads of distributed systems, software engineering and formal methods. Jérôme Hugues is lecturer-researcher at the Institut Supérieur de l’Aéronautique et de l’Espace (ISAE) in Toulouse, France and has been a member of the language standardization committee (AADL) since 2006. His research fields cover the engineering of embedded systems and the generation of automatic code of these systems from modeling languages, integrating verification and analysis tools on the model and code level. Agusti Canals is a software engineer and has worked at CS “Communication et Systèmes” in Paris, France since 1981. He is deputy director of the “Direction de la Qualité et des Audits Techniques” (DQAT) of CS and an expert in software engineering (certified “UML Professional” and “SysML Builder” by OMG). Alain Dohet is a general armament engineer at the “Direction Générale pour l’Armement” (organization of the French Defense Minister ensuring the conduct of system programs), where he is in charge of guiding activities, skills, methods and tools in the fields of systems of systems (SoS), systems engineering, analysis for certification purposes, operational safety of embedded computing systems and critical software.

Fundamentals Of Systems Analysis And Modeling Of Biosystems And Metabolism

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Author: Kazuyuki Shimizu
Publisher: Bentham Science Publishers
ISBN: 1681080869
Size: 68.11 MB
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Fundamentals Of Systems Analysis And Modeling Of Biosystems And Metabolism by Kazuyuki Shimizu

Original Title: Fundamentals Of Systems Analysis And Modeling Of Biosystems And Metabolism

An understanding of biological systems at cellular and molecular levels helps researchers to model cellular behavior in different experimental conditions. This, in turn, can lead to insights about the influence of cell culture environment and the effect of knockout gene research when studying mutations that affect specific metabolic pathways. A systems biology approach, therefore, allows researchers to simulate experimental observations in order to predict outcomes at the cellular level. Fundamentals of Systems Analysis and Modeling of Biosystems and Metabolism presents the basic concepts required for a systems biology approach towards cellular modeling. The book is intended as a primer for systems biology and biomedical engineering graduates and researchers. The text introduces readers to concepts related to cellular metabolism and its regulation, (enzymatic regulation and transcriptional regulation) which are also incorporated into a main metabolic model of a cell. The book also has chapters dedicated to identifying and incorporating steady-state and dynamic characteristics when considering a biological model for a computer simulation. Readers will be able to (1) understand the basis of systems analysis towards creating appropriate biological models and simulations, (2) develop useful kinetic models based on cellular transport phenomena and metabolic regulation, (3) understand how to simulate a cell growth phenotype, and analyze it with experimental data.

Radar System Analysis And Modeling

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Author: David K. Barton
Publisher: Artech House
ISBN: 1580536816
Size: 30.44 MB
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Radar System Analysis And Modeling by David K. Barton

Original Title: Radar System Analysis And Modeling

A thorough update to the Artech House classic Modern Radar Systems Analysis, this reference is a comprehensive and cohesive introduction to radar systems design and performance estimation. It offers you the knowledge you need to specify, evaluate, or apply radar technology in civilian or military systems. The book presents accurate detection range equations that let you realistically estimate radar performance in a variety of practical situations. With its clear, easy-to-understand language, you quickly learn the tradeoffs between choice of wavelength and radar performance and see the inherent advantages and limitations associated with each radar band. You find modeling procedures to help you analyze enemy systems or evaluate radar integrated into new weapon systems. The book covers ECM and ECCM for both surveillance and tracking to help you estimate the effects of active and passive ECM, select hardware/software for reconnaissance or jamming, and plan the operation of EW systems. As radar systems evolve, this book provides the equations needed to calculate and evaluate the performance of the latest advances in radar technology.

Object Oriented Systems Analysis

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Publisher: Prentice Hall
Size: 27.49 MB
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Object Oriented Systems Analysis by

Original Title: Object Oriented Systems Analysis

This book explains how to model a problem domain by abstracting objects, attributes, and relationships from observations of the real world. It provides a wealth of examples, guidelines, and suggestions based on the authors' extensive experience in both real time and commercial software development. This book describes the first of three steps in the method of Object-Oriented Analysis. Subsequent steps are described in Object Lifecycles by the same authors.

System Analysis And Modeling Technology Specific Aspects Of Models

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Author: Jens Grabowski
Publisher: Springer
ISBN: 3319466135
Size: 62.20 MB
Format: PDF, ePub, Mobi
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System Analysis And Modeling Technology Specific Aspects Of Models by Jens Grabowski

Original Title: System Analysis And Modeling Technology Specific Aspects Of Models

This book constitutes revised papers of the proceedings of the 9th International Workshop on System Analysis and Modeling, SAM 2016, held in Saint-Melo, France, in October 2016. The 15 full papers presented were carefully reviewed and selected from 31 submissions. The contributions are organized in topical theme named: Technology-Specific Aspects of Models. The volume reflects the five sessions of the conference. The first two sessions are closely aligned with the conference theme with a session on the Internet of Things and a session on Technology-specific Aspects. The other three sessions cover aspects regarding modeling languages and model-driven development in general and were organized in the sessions Languages, Configurations and Features, and Patterns and Compilation.

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