General Systems Theory, Systems Analysis, and Regional Planning: an Introductory Bibliography
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Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity
Systems Thinking: Managing Chaos and Complexity This Page Intentionally Left Blank Systems Thinking: Managing Chaos and Complexity A Platform for Designing Business Architecture SECOND EDITION Jamshid Gharajedaghi AMSTERDAM • BOSTON • HEIDELBERG • LONDON NEW YORK • OXFORD • PARIS • SAN DIEGO SAN FRANCISCO • SINGAPORE • SYDNEY • TOKYO Butterworth-Heinemann is an imprint of Elsevier Butterworth-Heinemann is an imprint of Elsevier 30 Corporate Drive, Suite 400, Burlington, MA 01803, USA 525 B Street, Suite 1900, San Diego, California 92101-4495, USA 84 Theobald's Road, London WC1X 8RR, UK This book is printed on acid-free paper. Copyright © 2006, Elsevier Inc. All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Permissions may be sought directly from Elsevier’s Science & Technology Rights Department in Oxford, UK: phone: (+44) 1865 843830, fax: (+44) 1865 853333, E-mail: [email protected]. You may also complete your request on-line via the Elsevier homepage (http://elsevier.com), by selecting “Support & Contact” then “Copyright and Permission” and then “Obtaining Permissions.” Library of Congress Cataloging-in-Publication Data Gharajedaghi, Jamshid. Systems thinking : managing chaos and complexity : a platform for designing business architecture / Jamshid Gharajedaghi. p. cm. Includes bibliographical references and index. ISBN 0-7506-7163-7 (alk. paper) 1. System analysis. 2. Chaotic behavior in systems. 3. Industrial management. 4. Technological complexity. I. Title. T57.6.G52 1999 003—dc21 98-55939 British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library. -
An Information-Theoretic Metric of System Complexity with Application
An Information-Theoretic Metric Douglas Allaire1 of System Complexity With e-mail: [email protected] Application to Engineering Qinxian He John Deyst System Design Karen Willcox System complexity is considered a key driver of the inability of current system design practices to at times not recognize performance, cost, and schedule risks as they emerge. Aerospace Computational Design Laboratory, We present here a definition of system complexity and a quantitative metric for measuring Department of Aeronautics and Astronautics, that complexity based on information theory. We also derive sensitivity indices that indi- Massachusetts Institute of Technology, cate the fraction of complexity that can be reduced if more about certain factors of a sys- Cambridge, MA 02139 tem can become known. This information can be used as part of a resource allocation procedure aimed at reducing system complexity. Our methods incorporate Gaussian pro- cess emulators of expensive computer simulation models and account for both model inadequacy and code uncertainty. We demonstrate our methodology on a candidate design of an infantry fighting vehicle. [DOI: 10.1115/1.4007587] 1 Introduction methodology identifies the key contributors to system complexity and provides quantitative guidance for resource allocation deci- Over the years, engineering systems have become increasingly sions aimed at reducing system complexity. complex, with astronomical growth in the number of components We define system complexity as the potential for a system to and their interactions. With this rise in complexity comes a host exhibit unexpected behavior in the quantities of interest. A back- of new challenges, such as the adequacy of mathematical models ground discussion on complexity metrics, uncertainty sources in to predict system behavior, the expense and time to conduct complex systems, and related work presented in Sec. -
A Quantitative Reliability, Maintainability and Supportability Approach for NASA's Second Generation Reusable Launch Vehicle
A Quantitative Reliability, Maintainability and Supportability Approach for NASA's Second Generation Reusable Launch Vehicle Fayssai M. Safie, Ph. D. Marshall Space Flight Center Huntsville, Alabama Tel: 256-544-5278 E-mail: Fayssal.Safie @ msfc.nasa.gov Charles Daniel, Ph.D. Marshall Space Flight Center Huntsville, Alabama Tel: 256-544-5278 E-mail: Charles.Daniel @msfc.nasa.gov Prince Kalia Raytheon ITSS Marshall Space Flight Center Huntsville, Alabama Tel: 256-544-6871 E-mail: Prince.Kalia @ msfc.nasa.gov ABSTRACT The United States National Aeronautics and Space Administration (NASA) is in the midst of a 10-year Second Generation Reusable Launch Vehicle (RLV) program to improve its space transportation capabilities for both cargo and crewed missions. The objectives of the program are to: significantly increase safety and reliability, reduce the cost of accessing low-earth orbit, attempt to leverage commercial launch capabilities, and provide a growth path for manned space exploration. The safety, reliability and life cycle cost of the next generation vehicles are major concerns, and NASA aims to achieve orders of magnitude improvement in these areas. To get these significant improvements, requires a rigorous process that addresses Reliability, Maintainability and Supportability (RMS) and safety through all the phases of the life cycle of the program. This paper discusses the RMS process being implemented for the Second Generation RLV program. 1.0 INTRODUCTION The 2nd Generation RLV program has in place quantitative Level-I RMS, and cost requirements [Ref 1] as shown in Table 1, a paradigm shift from the Space Shuttle program. This paradigm shift is generating a change in how space flight system design is approached. -
3 System Design 71 NYS Project Management Guidebook
Section III:3 System Design 71 NYS Project Management Guidebook 3 SYSTEM DESIGN Purpose The purpose of System Design is to create a technical solution that satisfies the functional requirements for the system. At this point in the project lifecycle there should be a Functional Specification, written primarily in business terminology, con- taining a complete description of the operational needs of the various organizational entities that will use the new system. The challenge is to translate all of this information into Technical Specifications that accurately describe the design of the system, and that can be used as input to System Construction. The Functional Specification produced during System Require- ments Analysis is transformed into a physical architecture. System components are distributed across the physical archi- tecture, usable interfaces are designed and prototyped, and Technical Specifications are created for the Application Developers, enabling them to build and test the system. Many organizations look at System Design primarily as the preparation of the system component specifications; however, constructing the various system components is only one of a set of major steps in successfully building a system. The prepara- tion of the environment needed to build the system, the testing of the system, and the migration and preparation of the data that will ultimately be used by the system are equally impor- tant. In addition to designing the technical solution, System Design is the time to initiate focused planning efforts for both the testing and data preparation activities. List of Processes This phase consists of the following processes: N Prepare for System Design, where the existing project repositories are expanded to accommodate the design work products, the technical environment and tools needed to support System Design are established, and training needs of the team members involved in System Design are addressed. -
The BRAIN in Space a Teacher’S Guide with Activities for Neuroscience This Page Intentionally Left Blank
Educational Product National Aeronautics and Teachers Grades 5–12 Space Administration The BRAIN in Space A Teacher’s Guide With Activities for Neuroscience This page intentionally left blank. The Brain in Space A Teacher’s Guide With Activities for Neuroscience National Aeronautics and Space Administration Life Sciences Division Washington, DC This publication is in the Public Domain and is not protected by copyright. Permission is not required for duplication. EG-1998-03-118-HQ This page intentionally left blank. This publication was made possible by the National Acknowledgments Aeronautics and Space Administration, Cooperative Agreement No. NCC 2-936. Principal Investigator: Walter W.Sullivan, Jr., Ph.D. Neurolab Education Program Office of Operations and Planning Morehouse School of Medicine Atlanta, GA Writers: Marlene Y. MacLeish, Ed.D. Director, Neurolab Education Program Morehouse School of Medicine Atlanta, GA Bernice R. McLean, M.Ed. Deputy Director, Neurolab Education Program Morehouse School of Medicine Atlanta, GA Graphic Designer and Illustrator: Denise M.Trahan, B.A. Atlanta, GA Technical Director: Perry D. Riggins Neurolab Education Program Morehouse School of Medicine Atlanta, GA This page intentionally left blank. Contributors This publication was developed for the National Aeronautics and Space Administration (NASA) under a Cooperative Agreement with the Morehouse School of Medicine (MSM). Many individu- als and organizations contributed to the production of this curriculum. We acknowledge their support and contributions. Organizations: Joseph Whittaker, Ph.D. Atlanta Public School System Neurolab Education Program Advisory Board: Society for Neuroscience Gene Brandt The Dana Alliance for Brain Initiatives Milton C. Clipper, Jr. Mary Anne Frey, Ph.D. NASA Headquarters: Charles A. -
Work System Theory: Overview of Core Concepts, Extensions, and Challenges for the Future Steven Alter University of San Francisco, [email protected]
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of San Francisco The University of San Francisco USF Scholarship: a digital repository @ Gleeson Library | Geschke Center Business Analytics and Information Systems School of Management February 2013 Work System Theory: Overview of Core Concepts, Extensions, and Challenges for the Future Steven Alter University of San Francisco, [email protected] Follow this and additional works at: http://repository.usfca.edu/at Part of the Business Administration, Management, and Operations Commons, Management Information Systems Commons, and the Technology and Innovation Commons Recommended Citation Alter, Steven, "Work System Theory: Overview of Core Concepts, Extensions, and Challenges for the Future" (2013). Business Analytics and Information Systems. Paper 35. http://repository.usfca.edu/at/35 This Article is brought to you for free and open access by the School of Management at USF Scholarship: a digital repository @ Gleeson Library | Geschke Center. It has been accepted for inclusion in Business Analytics and Information Systems by an authorized administrator of USF Scholarship: a digital repository @ Gleeson Library | Geschke Center. For more information, please contact [email protected]. Research Article Work System Theory: Overview of Core Concepts, Extensions, and Challenges for the Future Steven Alter University of San Francisco [email protected] Abstract This paper presents a current, accessible, and overarching view of work system theory. WST is the core of an integrated body of theory that emerged from a long-term research project to develop a systems analysis and design method for business professionals called the work system method (WSM). -
Consciousness and Its Evolution: from a Human Being to a Post-Human
Uniwersytet Marii Curie-Skłodowskiej w Lublinie Wydział Filozofii i Socjologii Taras Handziy Consciousness and Its Evolution: From a Human Being to a Post-Human Rozprawa doktorska napisana pod kierunkiem dr hab. Zbysława Muszyńskiego, prof. nadzw. UMCS Lublin 2014 Table of Contents Introduction ………………………………………………………………………………………. 8 Chapter 1: Consciousness, Mind, and Body …………………………………………………… 18 1.1 Conceptions of Consciousness …………………………………………………………. 18 1.1.1 Colin McGinn’s Conception of Consciousness ……………………………………….... 18 1.1.1.1 Owen Flanagan’s Analysis of Colin McGinn’s Conception of Consciousness ….…….. 20 1.1.2 Paola Zizzi’s Conception of Consciousness ………………………………………….… 21 1.1.3 William James’ Stream of Consciousness ……………………………………………… 22 1.1.4 Ervin Laszlo’s Conception of Consciousness …………………………………………... 22 1.2 Consciousness and Soul ………………………………………...………………………. 24 1.3 Problems in Definition of Consciousness ………………………………………………. 24 1.4 Distinctions between Consciousness and Mind ………………………………………... 25 1.5 Problems in Definition of Mind ………………………………………………………… 26 1.6 Dogmatism in Mind and Mind without Dogmatism ……………………………………. 27 1.6.1 Dogmatism in Mind …………………………………………………………………….. 27 1.6.2 Mind without Dogmatism …………………………………………………………….… 28 1.6.3 Rupert Sheldrake’s Dogmatism in Science …………………………………………….. 29 1.7 Criticism of Scientific Approaches towards Study of Mind ……………….…………… 30 1.8 Conceptions of Mind …………………………………………………………………… 31 1.8.1 Rupert Sheldrake’s Conception of Extended Mind …………………………………….. 31 1.8.2 Colin McGinns’s Knowing and Willing Halves of Mind ……………………………..... 34 1.8.3 Francisco Varela’s, Evan Thompson’s, and Eleanor Rosch’s Embodied Mind ………... 35 1.8.4 Andy Clark’s Extended Mind …………………………………………………………... 35 1.8.5 Role of Mind Understood by Paola Zizzi ………………………………………………. 36 1.9 Mind in Buddhism, Consciousness in Tibetan Buddhism ……………………………… 36 1.9.1 Mind in Buddhism ……………………………………………………………………… 36 1.9.2 B. -
Control Theory
Control theory S. Simrock DESY, Hamburg, Germany Abstract In engineering and mathematics, control theory deals with the behaviour of dynamical systems. The desired output of a system is called the reference. When one or more output variables of a system need to follow a certain ref- erence over time, a controller manipulates the inputs to a system to obtain the desired effect on the output of the system. Rapid advances in digital system technology have radically altered the control design options. It has become routinely practicable to design very complicated digital controllers and to carry out the extensive calculations required for their design. These advances in im- plementation and design capability can be obtained at low cost because of the widespread availability of inexpensive and powerful digital processing plat- forms and high-speed analog IO devices. 1 Introduction The emphasis of this tutorial on control theory is on the design of digital controls to achieve good dy- namic response and small errors while using signals that are sampled in time and quantized in amplitude. Both transform (classical control) and state-space (modern control) methods are described and applied to illustrative examples. The transform methods emphasized are the root-locus method of Evans and fre- quency response. The state-space methods developed are the technique of pole assignment augmented by an estimator (observer) and optimal quadratic-loss control. The optimal control problems use the steady-state constant gain solution. Other topics covered are system identification and non-linear control. System identification is a general term to describe mathematical tools and algorithms that build dynamical models from measured data. -
Introduction to Cyber-Physical System Security: a Cross-Layer Perspective
IEEE TRANSACTIONS ON MULTI-SCALE COMPUTING SYSTEMS, VOL. 3, NO. 3, JULY-SEPTEMBER 2017 215 Introduction to Cyber-Physical System Security: A Cross-Layer Perspective Jacob Wurm, Yier Jin, Member, IEEE, Yang Liu, Shiyan Hu, Senior Member, IEEE, Kenneth Heffner, Fahim Rahman, and Mark Tehranipoor, Senior Member, IEEE Abstract—Cyber-physical systems (CPS) comprise the backbone of national critical infrastructures such as power grids, transportation systems, home automation systems, etc. Because cyber-physical systems are widely used in these applications, the security considerations of these systems should be of very high importance. Compromise of these systems in critical infrastructure will cause catastrophic consequences. In this paper, we will investigate the security vulnerabilities of currently deployed/implemented cyber-physical systems. Our analysis will be from a cross-layer perspective, ranging from full cyber-physical systems to the underlying hardware platforms. In addition, security solutions are introduced to aid the implementation of security countermeasures into cyber-physical systems by manufacturers. Through these solutions, we hope to alter the mindset of considering security as an afterthought in CPS development procedures. Index Terms—Cyber-physical system, hardware security, vulnerability Ç 1INTRODUCTION ESEARCH relating to cyber-physical systems (CPS) has In addition to security concerns, CPS privacy is another Rrecently drawn the attention of those in academia, serious issue. Cyber-physical systems are often distributed industry, and the government because of the wide impact across wide geographic areas and typically collect huge CPS have on society, the economy, and the environment [1]. amounts of information used for data analysis and decision Though still lacking a formal definition, cyber-physical making. -
Cyber-Physical Systems, a New Formal Paradigm to Model Redundancy and Resiliency Mario Lezoche, Hervé Panetto
Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency Mario Lezoche, Hervé Panetto To cite this version: Mario Lezoche, Hervé Panetto. Cyber-Physical Systems, a new formal paradigm to model redun- dancy and resiliency. Enterprise Information Systems, Taylor & Francis, 2020, 14 (8), pp.1150-1171. 10.1080/17517575.2018.1536807. hal-01895093 HAL Id: hal-01895093 https://hal.archives-ouvertes.fr/hal-01895093 Submitted on 13 Oct 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Cyber-Physical Systems, a new formal paradigm to model redundancy and resiliency Mario Lezoche, Hervé Panetto Research Centre for Automatic Control of Nancy (CRAN), CNRS, Université de Lorraine, UMR 7039, Boulevard des Aiguillettes B.P.70239, 54506 Vandoeuvre-lès-Nancy, France. e-mail: {mario.lezoche, herve.panetto}@univ-lorraine.fr Cyber-Physical Systems (CPS) are systems composed by a physical component that is controlled or monitored by a cyber-component, a computer-based algorithm. Advances in CPS technologies and science are enabling capability, adaptability, scalability, resiliency, safety, security, and usability that will far exceed the simple embedded systems of today. CPS technologies are transforming the way people interact with engineered systems. -
Raytheon ECE,ME
SYSTEMS ENGINEER I/II Raytheon ECE,ME Fulltime,BS,MS Requisition ID 90414BR Date updated 04/05/2017 Posted on 4/5/17 Systems Engineer – Full Time The System Architecture Design and Integration Directorate (SADID) in Raytheon Integrated Defense Systems (IDS) is seeking candidates for full time Systems Engineering positions at Massachusetts sites (Andover, Marlborough, Tewksbury and Woburn) and Portsmouth, RI in 2017, with exact work location determined during the interview process.This is an opportunity for college graduates from technical disciplines to begin a career in the design and development of sophisticated tactical defense systems at Raytheon. The ideal candidate has recently completed or is in the final year of an undergraduate or graduate engineering, math or science degree, and is interested in a career in the design of large scale electromechanical systems with defense applications. Job Description: Specific job responsibilities will be designed to match the candidate’s technical interest and academic background, but will likely include search/track/discrimination algorithm development, performance assessment trade studies, and analysis of sensor signal and data processing subsystems. All assignments will focus on developing the candidate’s competency and contribution to program requirements definition, model based systems engineering, sub-system integration and test, and algorithm design.Systems Engineers use MATLAB regularly to conduct data analyses, and are expected to document and present technical results using standard Microsoft Office tools. The engineer should be comfortable working independently and in a team environment. Organization The Systems Architecture Design and Integration Directorate (SADID) is the central focus for Mission Systems Integration activities within IDS. -
CSE477 – Hardware/Software Systems Design
CSE477 – Hardware/Software Systems Design ❚ Welcome to CSE 477 ❙ Instructor: Carl Ebeling ❙ Hardware Lab Manager: Chris Morgan ❚ Some basics ❙ what is a system? ❙ what is digital system design? ❚ Objectives of this class ❙ designing real systems ❙ combining hardware and software ❙ e.g. projects: graphics display, user interfaces, integrated systems ❚ Class administration and logistics CSE 477 Spring 2002 Introduction 1 What is a system (in our case, mostly digital)? ❚ A collection of components ❙ work together to perform a function ❙ judiciously chosen to meet some constraints ❘ cost, size, power consumption, safety ❙ communicates with its environment ❘ human interaction ❘ communication with other systems over wired or wireless networks ❚ One person's system is another's component ❙ no universal categories of scope/size ❙ subsystems need to be abstracted ❚ How is it documented? ❙ interface specification ❘ Use a component without knowing about internal design ❙ functionality is often implicit in the interface spec CSE 477 Spring 2002 Introduction 2 What is digital system design? ❚ Encompasses all computing systems ❙ combination of hardware and software components ❙ partitioning design into appropriate components is key ❚ Many technologies and components to choose from ❙ programmable components (e.g., PLDs and FPGAs) ❙ processors ❙ memories ❙ interfaces to analog world (e.g., A/D, D/A, special transducers) ❙ input/output devices (e.g., buttons, pressure sensors, etc.) ❙ communication links to environment (wired and wireless) ❚ The Art: