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Systemic Yoyos: Some Impacts of the Second Dimension (Systems Evaluation, Prediction, and Decision-Making)
by Yi LinA Novel Method to Analyze Problems and Encourage Systemic ThinkingReal-Life Case Studies Illustrate the Application of the Systemic Yoyo Model in Diverse AreasWritten by the co-creator of the systemic yoyo model, Systemic Yoyos: Some Impacts of the Second Dimension shows how the yoyo model and its methodology can be employed to study many unsettled
Systemkonsolidierung und Datenmigration als Erfolgsfaktoren: HMD Best Paper Award 2014 (essentials)
by Sabine Wachter Thomas ZaelkeDieses essential geht präzise auf die Anforderungen und Lösungsansätze in Datenmigrations- und Konsolidierungsszenarien im SAP-Umfeld ein und präsentiert Fallbeispiele von SAP-Kunden. Der Beitrag unterstützt Unternehmen, die vor Fusionen, Zu- oder Verkäufen oder Umstrukturierungsvorhaben stehen und effiziente und verlässliche Lösungen zur Datenmigration benötigen, um die Organisationsstrukturen und Prozesse innerhalb ihrer Systemlandschaft an die betrieblichen Veränderungen anzupassen. Die Autoren zeigen, wie Unternehmen ihre Systemlandschaft harmonisieren und konsolidieren können und somit einheitliche Strukturen etabliert, die Systemkomplexität reduziert und damit der Geschäftsbetrieb verbessert werden können.
Systemprogrammierung mit Delphi: Hardwarezugriff über Windows-API und Windows-Kernelmodus-Treiber
by Devid EspenschiedWährend ständig neue Technologien und Schnittstellen die Softwareentwicklung mit Delphi begleiten, führt Sie dieses Buch in die Systemprogrammierung ein, die auch heute noch einen häufig unterschätzten Stellenwert hat. Systemprogrammierung kann sehr komplex sein und setzt fortgeschrittene Kenntnisse voraus. Mit der richtigen Methodik lässt sich das System besser beherrschen und ein besseres Systemverständnis erreichen. Dadurch sind viele Systeminformationen fundierter und umfassender ermittelbar,als es mit Windows-Bordmitteln möglich wäre. Nach einer Einführung in die Systemprogrammierung und Windows-Architektur werden Delphi-Zugriffe auf API, WMI, Registrierung, SMBIOS und Prozessor ausführlich besprochen. Weiterhin erfolgt die Entwicklung eines Windows-Kernelmodus-Treibers mit Microsoft Visual Studio, der auch unter Windows den Hardwarezugriff ermöglicht. Darauf aufbauend wird eine Beispielanwendung entworfen, die u.a. präzise Angaben zu Prozessoren mitsamt deren Temperatursensoren, Speichermodulen und PCI-Geräten bietet – ideal als praxisnahe Ergänzung zu den theoretischen Inhalten.
Systems Engineering and Artificial Intelligence
by Ranjeev Mittu William F. Lawless Donald A. Sofge Thomas Shortell Thomas A. McDermottThis book provides a broad overview of the benefits from a Systems Engineering design philosophy in architecting complex systems composed of artificial intelligence (AI), machine learning (ML) and humans situated in chaotic environments. The major topics include emergence, verification and validation of systems using AI/ML and human systems integration to develop robust and effective human-machine teams—where the machines may have varying degrees of autonomy due to the sophistication of their embedded AI/ML. The chapters not only describe what has been learned, but also raise questions that must be answered to further advance the general Science of Autonomy. The science of how humans and machines operate as a team requires insights from, among others, disciplines such as the social sciences, national and international jurisprudence, ethics and policy, and sociology and psychology. The social sciences inform how context is constructed, how trust is affected when humans and machines depend upon each other and how human-machine teams need a shared language of explanation. National and international jurisprudence determine legal responsibilities of non-trivial human-machine failures, ethical standards shape global policy, and sociology provides a basis for understanding team norms across cultures. Insights from psychology may help us to understand the negative impact on humans if AI/ML based machines begin to outperform their human teammates and consequently diminish their value or importance. This book invites professionals and the curious alike to witness a new frontier open as the Science of Autonomy emerges.
Systems Analysis And Design
by Alan Dennis Roberta M. Roth Barbara Haley WixomThe 6th Edition of Systems Analysis and Design continues to offer a hands-on approach to SAD while focusing on the core set of skills that all analysts must possess. Building on their experience as professional systems analysts and award-winning teachers, authors Dennis, Wixom, and Roth capture the experience of developing and analyzing systems in a way that students can understand and apply. With Systems Analysis and Design, 6th Edition, students will leave the course with experience that is a rich foundation for further work as a systems analyst.
Systems Analysis Approach for Complex Global Challenges
by Priscilla Mensah David Katerere Sepo Hachigonta Andreas RoodtThis book, which contains a collection of review articles as well as focus on evidence-based policy making, will serve as a valuable resource not just for all postgraduate students conducting research using systems analysis thinking but also for policy makers. To our knowledge, a book of this nature which also has a strong African focus is currently not available. The book examines environmental and socio-economic risks with the aim of providing an analytical foundation for the management and governance of natural resources, disasters, addressing climate change, and easing the technological and ecological transitions to sustainability. It provides scientific and strategic analysis to better understand the dynamics of future energy transitions, their main driving forces, enabling factors, barriers, as well as their consequences for the social, economic and environmental dimensions of human wellbeing. Science-based policy advice is achieved through an integrated assessment and modeling of how to simultaneously address the major energy policy challenges in the areas of environment (climate change and air pollution), energy poverty (or access to affordable and clean energy for the poor), energy security and reliability. It also aims to improve our understanding of ecosystems and their management in today’s changing world—in particular, the current state of ecosystems, and their ecological thresholds and buffering capacities. It provides support for policy makers in developing rational, realistic and science-based regional, national and global strategies for the production of fuel, food and fibre that sustain ecosystem services and safeguard food security. Finally, it addresses the human development dimension of global change based on comprehensive studies on the changing size and composition of human populations around the world by analyzing both their impacts and the differential vulnerabilities by age, gender and level of education.
Systems Analysis and Design
by Kenneth E. Kendall Julie E. KendallExpanded coverage of emerging technologies, such as agile methods, cloud computing, and mobile applications, complements this book’s traditional approaches to systems analysis and design. A wealth of real-world examples emphasizes critical thinking and IT skills in a dynamic, business-related environment. You will find numerous projects, insightful assignments, and helpful end-of-chapter exercises to help you refine the IT skills you need for success in today's intensely competitive business world.
Systems Analysis and Design in a Changing World
by Robert B. Jackson John W. Satzinger Stephen D. BurdReflecting the latest practices, trends, and developments from the field, SYSTEMS ANALYSIS AND DESIGN IN A CHANGING WORLD, 7E equips you with a solid foundation of the most important principles of systems analysis, systems design, project management, and new software development approaches. Using case driven techniques, the succinct 14-chapter book focuses on content that is key to your success in today's market. The book teaches both traditional (structured) and object-oriented (OO) approaches to systems analysis and design. It highlights use cases, use diagrams, and use case descriptions required for a modeling approach, while demonstrating their application to traditional, web development, object-oriented, and service-oriented architecture approaches. Content reflects Microsoft Project 2013 Professional and Microsoft Visio 2013.
Systems Analysis and Design: People, Processes And Projects (Advances In Management Information Systems Ser.)
by Keng Siau Roger Chiang Bill C. HardgraveFor the last two decades, IS researchers have conducted empirical studies leading to a better understanding of the impact of Systems Analysis and Design methods in business, managerial, and cultural contexts. SA&D research has established a balanced focus not only on technical issues, but also on organizational and social issues in the information society..This volume presents the very latest, state-of-the-art research by well-known figures in the field. The chapters are grouped into three categories: techniques, methodologies, and approaches.
Systems Approaches to Making Change: A Practical Guide
by Martin Reynolds Sue HolwellThe five approaches outlined in this book offers the systems thinking practitioner a range of interchangeable tools for pro-actively making systemic improvements amidst complex situations of change and uncertainty. Practitioners from all professional domains are increasingly confronted with incidences of systemic failure, yet poorly equipped with appropriate tools and know-how for understanding such failure, and the making of systemic improvement. In our fragile Anthropocene world where ‘systems change’ is often invoked as the rallying call for purposeful alternative action, this book provides a toolkit to help constructively make systems that can change situations for the better. Systems Approaches offers an excellent introduction for those seeking to understand systems thinking and to enact systems thinking in practice. The book helps practitioners from all professions to better understand inter-relationships, engage with multiple perspectives, and reflect on boundary judgements that can inhibit or enhance improved purposeful change. After an editorial introduction to these systems thinking in practice capabilities, successive chapters illustrate five systems approaches, each chosen for having a rigorous though adaptable framework, and a robust long pedigree of application in complex situations. Each chapter illustrates what the approach is about, followed by invaluable tips and insights from experience regarding how the tools might be practiced. Amongst updates from originating authors for this 2nd edition, each approach has an accompanying postscript on some developments since the 1st edition.
Systems Approaches to Managing Change: A Practical Guide
by Martin Reynolds Sue HolwellIn a world of increasing complexity, instant information availability and constant flux, systems approaches provide the opportunity of a tangible anchor of purpose and iterate learning. The five approaches outlined in the book offer a range of interchangeable tools with rigorous frameworks of application tried and tested in the 'real world'. The frameworks of each approach form a powerful toolkit to explore the dynamics of how societies emerge, how organisations create viability, how to facilitate chains of argument through causal mapping, how to embrace a multiplicity of perspectives identifying purposeful activity and how to look for the bigger picture across multiple disciplines. Systems Approaches offers an excellent first introduction for those seeking to understand what 'systems thinking' is all about as well as why the tools discussed herein should be applied to management and professional practice. This book provides a practical guide, and the chapters stand alone in explaining and developing each approach.
Systems Architecting: A Business Perspective
by Gerrit MullerDerived from industry-training classes that the author teaches at the Embedded Systems Institute at Eindhoven, the Netherlands and at Buskerud University College at Kongsberg in Norway, Systems Architecting: A Business Perspective places the processes of systems architecting in a broader context by juxtaposing the relationship of the systems archit
Systems Biology
by Jens Nielsen Gregory Stephanopoulos Sang Yup Lee J. Nielsen Stefan HohmannComprehensive coverage of the many different aspects of systems biology, resulting in an excellent overview of the experimental and computational approaches currently in use to study biological systems. Each chapter represents a valuable introduction to one specific branch of systems biology, while also including the current state of the art and pointers to future directions. Following different methods for the integrative analysis of omics data, the book goes on to describe techniques that allow for the direct quantification of carbon fluxes in large metabolic networks, including the use of 13C labelled substrates and genome-scale metabolic models. The latter is explained on the basis of the model organism Escherichia coli as well as the human metabolism. Subsequently, the authors deal with the application of such techniques to human health and cell factory engineering, with a focus on recent progress in building genome-scale models and regulatory networks. They highlight the importance of such information for specific biological processes, including the ageing of cells, the immune system and organogenesis. The book concludes with a summary of recent advances in genome editing, which have allowed for precise genetic modifications, even with the dynamic control of gene expression. This is part of the Advances Biotechnology series, covering all pertinent aspects of the field with each volume prepared by eminent scientists who are experts on the topic in question.
Systems Biology Modelling and Analysis: Formal Bioinformatics Methods and Tools
by Elisabetta De MariaSystems Biology Modelling and Analysis Describes important modelling and computational methods for systems biology research to enable practitioners to select and use the most suitable technique Systems Biology Modelling and Analysis provides an overview of state-of-the-art techniques and introduces related tools and practices to formalize models and automate reasoning for systems biology. The authors present and compare the main formal methods used in systems biology for modelling biological networks, including discussion of their advantages, drawbacks, and main applications. Each chapter includes an intuitive presentation of the specific formalism, a brief history of the formalism and of its applications in systems biology, a formal description of the formalism and its variants, at least one realistic case study, some applications of formal techniques to validate and make deep analysis of models encoded with the formalism, and a discussion on the kind of biological systems for which the formalism is suited, along with concrete ideas on its possible evolution. Edited by a highly qualified expert with significant experience in the field, some of the methods and techniques covered in Systems Biology Modelling and Analysis include: Petri nets, an important tool for studying different aspects of biological systems, ranging from simple signaling pathways to metabolic networks and beyond Pathway Logic, a formal, rule-based system and interactive viewer for developing executable models of cellular processes Boolean networks, a mathematical model which has been widely used for decades in the context of biological regulation networks Answer Set Programming (ASP), which has proven to be a strong logic programming paradigm to deal with the inherent complexity of biological models For systems biologists, biochemists, bioinformaticians, molecular biologists, pharmacologists, and computer scientists, Systems Biology Modelling and Analysis is a comprehensive all-in-one resource to understand and harness the field’s current models and techniques while also preparing for their potential developments in coming years with the help of the author’s expert insight.
Systems Biology Volume 1: Integrative Biology and Simulation Tools
by Aleš Prokop Bela CsukasGrowth in the pharmaceutical market has slowed down - almost to a standstill. One reason is that governments and other payers are cutting costs in a faltering world economy. But a more fundamental problem is the failure of major companies to discover, develop and market new drugs. Major drugs losing patent protection or being withdrawn from the market are simply not being replaced by new therapies - the pharmaceutical market model is no longer functioning effectively and most pharmaceutical companies are failing to produce the innovation needed for success. This multi-authored new book looks at a vital strategy which can bring innovation to a market in need of new ideas and new products: Systems Biology (SB). Modeling is a significant task of systems biology. SB aims to develop and use efficient algorithms, data structures, visualization and communication tools to orchestrate the integration of large quantities of biological data with the goal of computer modeling. It involves the use of computer simulations of biological systems, such as the networks of metabolites comprise signal transduction pathways and gene regulatory networks to both analyze and visualize the complex connections of these cellular processes. SB involves a series of operational protocols used for performing research, namely a cycle composed of theoretical, analytic or computational modeling to propose specific testable hypotheses about a biological system, experimental validation, and then using the newly acquired quantitative description of cells or cell processes to refine the computational model or theory.
Systems Biology and Machine Learning Methods in Reproductive Health (Chapman & Hall/CRC Computational Biology Series)
by Dinesh Gupta Abhishek Sengupta Priyanka Narad Deepak ModiSystems Biology and Machine Learning Methods in Reproductive Health is an innovative and wide-ranging book that discovers the synergetic combination of disciplines: systems biology and machine learning, with an application in the field of reproductive health. This book assembles the expertise of leading scientists and clinicians to present a compilation of cutting-edge techniques and case studies utilizing computational methods to elucidate intricate biological systems, elucidate reproductive pathways, and address critical issues in the fields of fertility, pregnancy, and reproductive disorders. Bringing science and data science together, this groundbreaking book provides scientists, clinicians, and students with a step-by-step guide to uncovering the complexities of reproductive health through cutting-edge computational tools.
Systems Biology of Metabolic and Signaling Networks
by Miguel A. Aon Valdur Saks Uwe SchlattnerSystems Biology represents a new paradigm aiming at a whole-organism-level understanding of biological phenomena, emphasizing interconnections and functional interrelationships rather than component parts. The study of network properties, and how they control and regulate behavior from the cellular to organism level, constitutes a main focus of Systems Biology. This book addresses from a novel perspective a major unsolved biological problem: understanding how a cell works and what goes wrong in pathology. The task undertaken by the authors is in equal parts conceptual and methodological, integrative and analytical, experimental and theoretical, qualitative and quantitative, didactic and comprehensive. Essentially, they unravel the spatio-temporal unfolding of interacting mass-energy and information networks at the cellular and organ levels, as well as its modulation through activation or repression by signaling networks to produce a certain phenotype or (patho)physiological response. Starting with the historical roots, in thirteen chapters this work explores the Systems Biology of signaling networks, cellular structures and fluxes, organ and microorganism functions. In doing so, it establishes the basis of a 21st century approach to biological complexity.
Systems Engineering Demystified: A practitioner's handbook for developing complex systems using a model-based approach
by Jon HoltGet to grips with systems engineering life cycles, processes, and best practices and discover techniques to successfully develop complex systemsKey FeaturesDiscover how to manage increased complexity and understand systems better via effective communicationAdopt a proven model-based approach for systems engineering in your organizationApply proven techniques for requirements, design, validation and verification, and systems engineering managementBook DescriptionSystems engineering helps us to understand, specify, and develop complex systems, and is applied across a wide set of disciplines. As systems and their associated problems become increasingly complex in this evermore connected world, the need for more rigorous, demonstrable, and repeatable techniques also increases. Written by Professor Jon Holt – an internationally recognized systems engineering expert – this book provides a blend of technical and business aspects you need to understand in order to develop successful systems. You'll start with systems engineering basics and understand the complexity, communication, and different stakeholders' views of the system. The book then covers essential aspects of model-based systems engineering, systems, life cycles, and processes, along with techniques to develop systems. Moving on, you'll explore system models and visualization techniques, focusing on the SysML, and discover how solutions can be defined by developing effective system design, verification, and validation techniques. The book concludes by taking you through key management processes and systems engineering best practices and guidelines. By the end of this systems engineering book, you'll be able to confidently apply modern model-based systems engineering techniques to your own systems and projects.What you will learnUnderstand the three evils of systems engineering - complexity, ambiguous communication, and lack of understandingRealize successful systems using model-based systems engineeringUnderstand the concept of life cycles and how they control the evolution of a systemExplore processes and related concepts such as activities, stakeholders, and resourcesDiscover how needs fit into the systems life cycle and which processes are relevant and how to comply with themFind out how design, verification, and validation fit into the life cycle and processesWho this book is forThis book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of systems engineering. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.
Systems Engineering Neural Networks
by Alessandro Migliaccio Giovanni IannoneSYSTEMS ENGINEERING NEURAL NETWORKS A complete and authoritative discussion of systems engineering and neural networks In Systems Engineering Neural Networks, a team of distinguished researchers deliver a thorough exploration of the fundamental concepts underpinning the creation and improvement of neural networks with a systems engineering mindset. In the book, you’ll find a general theoretical discussion of both systems engineering and neural networks accompanied by coverage of relevant and specific topics, from deep learning fundamentals to sport business applications. Readers will discover in-depth examples derived from many years of engineering experience, a comprehensive glossary with links to further reading, and supplementary online content. The authors have also included a variety of applications programmed in both Python 3 and Microsoft Excel. The book provides: A thorough introduction to neural networks, introduced as key element of complex systems Practical discussions of systems engineering and forecasting, complexity theory and optimization and how these techniques can be used to support applications outside of the traditional AI domains Comprehensive explorations of input and output, hidden layers, and bias in neural networks, as well as activation functions, cost functions, and back-propagation Guidelines for software development incorporating neural networks with a systems engineering methodology Perfect for students and professionals eager to incorporate machine learning techniques into their products and processes, Systems Engineering Neural Networks will also earn a place in the libraries of managers and researchers working in areas involving neural networks.
Systems Engineering in Context: Proceedings of the 16th Annual Conference on Systems Engineering Research
by William T. Scherer James H. Lambert Stephen Adams Peter A. Beling Cody H. FlemingThis volume chronicles the 16th Annual Conference on System Engineering Research (CSER) held on May 8-9, 2018 at the University of Virginia, Charlottesville, Virginia, USA. The CSER offers researchers in academia, industry, and government a common forum to present, discuss, and influence systems engineering research. It provides access to forward‐looking research from across the globe, by renowned academicians as well as perspectives from senior industry and government representatives. Co‐founded by the University of Southern California and Stevens Institute of Technology in 2003, CSER has become the preeminent event for researchers in systems engineering across the globe. Topics include though are not limited to the following: Systems in context: · Formative methods: requirements · Integration, deployment, assurance · Human Factors · Safety and Security Decisions/ Control & Design; Systems Modeling: · Optimization, Multiple Objectives, Synthesis · Risk and resiliency · Collaborative autonomy · Coordination and distributed decision-making Prediction: · Prescriptive modeling; state estimation · Stochastic approximation, stochastic optimization and control Integrative Data engineering: · Sensor Management · Design of Experiments
Systems Evaluation: Methods, Models, and Applications (Systems Evaluation, Prediction, and Decision-Making)
by Sifeng Liu Naiming Xie Chaoqing Yuan Zhigeng FangA book in the Systems Evaluation, Prediction, and Decision-Making Series, Systems Evaluation: Methods, Models, and Applications covers the evolutionary course of systems evaluation methods, clearly and concisely. Outlining a wide range of methods and models, it begins by examining the method of qualitative assessment. Next, it describes the process
Systems Medicine
by Ulf Schmitz Olaf WolkenhauerThis volume guides readers through the field of systems medicine by defining the terminology, and describing how established computational methods form bioinformatics and systems biology can be taken forward to an integrative systems medicine approach. Chapters provide an outlook on the role that systems medicine may or should play in various medical fields, and describe different facets of the systems medicine approach in action. Ultimately it introduces tools, resources and methodologies from bioinformatics and systems biology, and how to apply these in a systems medicine project. Written for the Methods in Molecular Biology series, chapters include introductions to their respective topics, and discuss experimental and computational approaches, methods, and tools that should be considered for a successful systems medicine project. Systems Medicine aims to motivate and provide guidance for collaborations across disciplines to tackle today's challenges related to human health and well-being.
Systems Medicine: Physiological Circuits and the Dynamics of Disease (Chapman & Hall/CRC Computational Biology Series)
by Uri AlonWhy do we get certain diseases, whereas other diseases do not exist? In this book, Alon, one of the founders of systems biology, builds a foundation for systems medicine. Starting from basic laws, the book derives why physiological circuits are built the way they are. The circuits have fragilities that explain specific diseases and offer new strategies to treat them. By the end, the reader will be able to use simple and powerful mathematical models to describe physiological circuits. The book explores, in three parts, hormone circuits, immune circuits, and aging and age-related disease. It culminates in a periodic table of diseases. Alon writes in a style accessible to a broad range of readers - undergraduates, graduates, or researchers from computational or biological backgrounds. The level of math is friendly and the math can even be bypassed altogether. For instructors and readers who want to go deeper, the book includes dozens of exercises that have been rigorously tested in the classroom
Systems Metabolic Engineering
by Sang Yup Lee Christoph WittmannSystems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production. Integrating systems biology and biotechnology with new concepts from synthetic biology enables the global analysis and engineering of microorganisms and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story - from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundaments to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter this exiting research field.
Systems Modeling
by Mukhtar AhmedAchieving food security and economic developmental objectives in the face of climate change and rapid population growth requires systems modelling approaches, for example in the design of sustainable agriculture farming systems. Such approaches increase our understanding of system responses to different soil and climatic conditions, and provide insights into the effects of various variable climate change scenarios, providing valuable information for decision-makers. Further, in the agricultural sector, systems modelling can help optimise crop management and adaptation measures to boost productivity under variable climatic conditions. Presenting key outcomes from crop models used in agricultural systems this book is a valuable resource for professionals interested in using modelling approaches to manage the growth and improve the quality of various crops.