Systems Analysis And Modeling In Food And Agriculture

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Author: K.C.Ting
Publisher: EOLSS Publications
ISBN: 1848261330
Size: 43.92 MB
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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.

Systems Analysis And Modeling

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Author: Donald W. Boyd
Publisher: Elsevier
ISBN: 9780080518398
Size: 47.91 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

Neural Systems Analysis And Modeling

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Author: Frank Eeckman
Publisher: Springer Science & Business Media
ISBN: 1461535603
Size: 71.95 MB
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Neural Systems Analysis And Modeling by Frank Eeckman

Original Title: Neural Systems Analysis And Modeling

In recent years there has been tremendous activity in computational neuroscience resulting from two parallel developments. On the one hand, our knowledge of real nervous systems has increased dramatically over the years; on the other, there is now enough computing power available to perform realistic simulations of actual neural circuits. This is leading to a revolution in quantitative neuroscience, which is attracting a growing number of scientists from non-biological disciplines. These scientists bring with them expertise in signal processing, information theory, and dynamical systems theory that has helped transform our ways of approaching neural systems. New developments in experimental techniques have enabled biologists to gather the data necessary to test these new theories. While we do not yet understand how the brain sees, hears or smells, we do have testable models of specific components of visual, auditory, and olfactory processing. Some of these models have been applied to help construct artificial vision and hearing systems. Similarly, our understanding of motor control has grown to the point where it has become a useful guide in the development of artificial robots. Many neuroscientists believe that we have only scratched the surface, and that a more complete understanding of biological information processing is likely to lead to technologies whose impact will propel another industrial revolution. Neural Systems: Analysis and Modeling contains the collected papers of the 1991 Conference on Analysis and Modeling of Neural Systems (AMNS), and the papers presented at the satellite symposium on compartmental modeling, held July 23-26, 1992, in San Francisco, California. The papers included, present an update of the most recent developments in quantitative analysis and modeling techniques for the study of neural systems.

Transportation Systems Analysis

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Author: Ennio Cascetta
Publisher: Springer Science & Business Media
ISBN: 0387758577
Size: 38.62 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: 70.76 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.

Systems Analysis And Modeling In Defense

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Author: R. Huber
Publisher: Springer Science & Business Media
ISBN: 1461593700
Size: 22.12 MB
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Systems Analysis And Modeling In Defense by R. Huber

Original Title: Systems Analysis And Modeling In Defense

This book contains the proceedings of an interna tional symposium devoted to Modeling and Analysis of Defense Processes in the context of land/air warfare. It was sponsored by Panel VII (on Defense Applications of Operational Research) of NATO's Defense Research Group (DRG) and took place 27-29 July 1982 at NATO headquarters in Brussels. Except perhaps for the Theater-Level Gaming and Analysis Workshop, sponsored by the Office of united 1 states Naval Research in 1977 , this symposium was the first international scientific meeting on Operations Research/Systems Analysis in the area of land/air war fare since the conference on Modeling Land Battle Systems 2 for Military Planning sponsored by NATO's Special Pro gramme Panel on Systems Science in 1974. That conference dealt primarily with modeling small unit (company, bat talion) engagements and, to a lesser extent, large unit (corps, theater) campaigns with principal emphasis on attrition processes and movement in combat. It was considered as rather successful in that it revealed the state-of-the art around 1972 and identified problem areas and promising approaches for future developments. lWith regard to foreign attendance, this wo- shop was largely limited to participants from the United Kingdom and the Federal Republic of Germany (see L.J. Low: Theater-Level Gaming and Analysis Workshop for Force Planning, Vol II-Summary, Discus sion of Issues and Requirements for Research, SRI Report, May, 1981).

Radar System Analysis And Modeling

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Author: David K. Barton
Publisher: Artech House
ISBN: 1580536816
Size: 30.90 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.

Information Systems Analysis And Modeling

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Author: Vladimir S. Lerner
Publisher: Springer Science & Business Media
ISBN: 1461546397
Size: 32.62 MB
Format: PDF
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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.

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