Dependency Visualization for Complex System Understanding PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Dependency Visualization for Complex System Understanding PDF full book. Access full book title Dependency Visualization for Complex System Understanding by J. Allison Cory Smart. Download full books in PDF and EPUB format.
Author: J. Allison Cory Smart
Publisher:
ISBN:
Category :
Languages : en
Pages : 564
Get Book Here
Book Description
Author: J. Allison Cory Smart
Publisher:
ISBN:
Category :
Languages : en
Pages : 564
Get Book Here
Book Description
Author: Taxen, Lars
Publisher: IGI Global
ISBN: 1605661937
Category : Education
Languages : en
Pages : 349
Get Book Here
Book Description
Using Activity Domain Theory for the Coordination of Complex Projects offers a new approach towards managing the coordination of complex system development tasks.
Author: Adam Jamison Oliner
Publisher: Stanford University
ISBN:
Category :
Languages : en
Pages : 153
Get Book Here
Book Description
This thesis is concerned with understanding the behavior of complex systems, particularly in the common case where instrumentation data is noisy or incomplete. We begin with an empirical study of logs from production systems, which characterizes the content of those logs and the challenges associated with analyzing them automatically, and present an algorithm for identifying surprising messages in such logs. The principal contribution is a method, called influence, that identifies relationships among components---even when the underlying mechanism of interaction is unknown---by looking for correlated surprise. Two components are said to share an influence if they tend to exhibit surprising behavior that is correlated in time. We represent the behavior of components as surprise (deviation from typical or expected behavior) over time and use signal-processing techniques to find correlations. The method makes few assumptions about the underlying systems or the data they generate, so it is applicable to a variety of unmodified production systems, including supercomputers, clusters, and autonomous vehicles. We then extend the idea of influence by presenting a query language and online implementation, which allow the method to scale to systems with hundreds of thousands of signals. In collaboration with system administrators, we applied these tools to real systems and discovered correlated problems, failure cascades, skewed clocks, and performance bugs. According to the administrators, it also generated information useful for diagnosing and fixing these issues.
Author: Andrew D. Chapman
Publisher: The Autodidact’s Toolkit
ISBN:
Category : Science
Languages : en
Pages : 218
Get Book Here
Book Description
At its core, systems theory is an interdisciplinary framework for understanding the complex and interconnected nature of various elements within a system. It transcends traditional approaches that focus on individual components, advocating for a holistic perspective. Systems theory examines how parts of a system interact, influence each other, and contribute to the system’s overall behavior and outcomes. This approach is crucial in today’s world, where challenges are increasingly complex and interlinked, requiring solutions that consider the entirety of the system. Understanding Systems Theory is tailored for a broad audience. It serves as an essential resource for students across disciplines such as business, engineering, social sciences, and environmental studies, providing a foundational understanding of systems thinking. For academics and researchers, it offers in-depth analyses and the latest developments in systems theory. Professionals and practitioners will find practical applications and strategies to address systemic challenges in their respective fields, from organizational management to environmental sustainability. This book demystifies systems theory, breaking it down into digestible concepts, illustrated with real-world examples and case studies. It systematically guides the reader through the key principles, methodologies, and applications of systems thinking. Each chapter is crafted to build upon the previous one, gradually deepening the reader’s understanding while maintaining clarity and accessibility. Understanding Systems Theory is organized into ten distinct but interconnected parts, each focusing on a different aspect of systems theory: Introduction to Systems Theory: Laying the foundational concepts and significance of systems thinking Foundations of Systems Theory: Delving into the core principles and elements that constitute systems System Modeling and Analysis: Exploring methodologies and tools for modeling and analyzing systems Systems in Various Domains: Applying systems theory across different sectors and disciplines Advanced Systems Theory Concepts: Discussing more complex and emerging ideas in systems theory Systems Thinking Tools and Techniques: Providing practical tools and techniques for implementing systems thinking Organizational Systems and Change: Focusing on the application of systems theory in organizational contexts Contemporary Issues in Systems Theory: Addressing modern challenges and the role of systems thinking in resolving them Systems Theory in Research and Education: Exploring the role of systems theory in academic research and educational curricula Applied Systems Theory: Demonstrating the practical applications of systems theory in various real-world scenarios Each part consists of carefully structured chapters that progress from fundamental concepts to more advanced topics, ensuring a comprehensive understanding of systems theory and its vast applicability. We invite you on this journey through Understanding Systems Theory, confident that it will enrich your perspective and equip you with the tools to think and act systemically in an increasingly interconnected world.
Author: Udo Lindemann
Publisher: Springer Science & Business Media
ISBN: 3540878890
Category : Technology & Engineering
Languages : en
Pages : 240
Get Book Here
Book Description
Product design is characterized by a steady increase in complexity. The main focus of this book is a structural approach on complexity management. This means, system structures are considered in order to address the challenge of complexity in all aspects of product design. Structures arise from the complex dependencies of system elements. Thus, the identification of system structures provides access to the understanding of system behavior in practical applications. The book presents a methodology that enables the analysis, control and optimization of complex structures, and the applicability of domain-spanning problems. The methodology allows significant improvements on handling system complexity by creating improved system understanding on the one hand and optimizing product design that is robust for system adaptations on the other hand. Developers can thereby enhance project coordination and improve communication between team members and as a result shorten development time. The practical application of the methodology is described by means of two detailed examples.
Author: Phillip A. Laplante
Publisher: CRC Press
ISBN: 1351249266
Category : Computers
Languages : en
Pages : 1441
Get Book Here
Book Description
Software engineering requires specialized knowledge of a broad spectrum of topics, including the construction of software and the platforms, applications, and environments in which the software operates as well as an understanding of the people who build and use the software. Offering an authoritative perspective, the two volumes of the Encyclopedia of Software Engineering cover the entire multidisciplinary scope of this important field. More than 200 expert contributors and reviewers from industry and academia across 21 countries provide easy-to-read entries that cover software requirements, design, construction, testing, maintenance, configuration management, quality control, and software engineering management tools and methods. Editor Phillip A. Laplante uses the most universally recognized definition of the areas of relevance to software engineering, the Software Engineering Body of Knowledge (SWEBOK®), as a template for organizing the material. Also available in an electronic format, this encyclopedia supplies software engineering students, IT professionals, researchers, managers, and scholars with unrivaled coverage of the topics that encompass this ever-changing field. Also Available Online This Taylor & Francis encyclopedia is also available through online subscription, offering a variety of extra benefits for researchers, students, and librarians, including: Citation tracking and alerts Active reference linking Saved searches and marked lists HTML and PDF format options Contact Taylor and Francis for more information or to inquire about subscription options and print/online combination packages. US: (Tel) 1.888.318.2367; (E-mail)
[email protected] International: (Tel) +44 (0) 20 7017 6062; (E-mail)
[email protected]
Author: Charles Nehme
Publisher: Charles Nehme
ISBN:
Category : Computers
Languages : en
Pages : 75
Get Book Here
Book Description
Exploring the Boundless Possibilities of Artificial Intelligence and Building Management Systems Welcome to a world where the boundaries between human ingenuity and technological advancement are becoming increasingly blurred. In this era of rapid progress, we find ourselves standing at the forefront of a revolution driven by two powerful forces: Artificial Intelligence (AI) and Building Management Systems (BMS). These two domains, with their distinct yet interwoven capabilities, are reshaping our understanding of what is achievable in the realms of automation, efficiency, and sustainability. Artificial Intelligence, once confined to the realms of science fiction, has emerged as a transformative force that permeates nearly every aspect of our lives. From intelligent personal assistants that anticipate our needs to autonomous vehicles that navigate our cities, AI is revolutionizing the way we interact with technology. Its ability to analyze vast amounts of data, recognize patterns, and learn from experience empowers us to solve complex problems and make informed decisions like never before. Simultaneously, Building Management Systems have emerged as critical enablers of smart infrastructure and sustainable practices. These systems, composed of hardware and software components, orchestrate the functioning of buildings, optimizing energy consumption, improving occupant comfort, and enhancing operational efficiency. BMS leverages sensors, actuators, and data analytics to monitor and control various building systems, such as heating, ventilation, lighting, and security, ensuring seamless integration and intelligent management. The convergence of AI and BMS holds immense promise, offering a synergistic approach to creating intelligent and responsive built environments. By harnessing the power of AI algorithms, BMS can unlock new levels of efficiency and adaptability. Machine learning algorithms can continuously analyze building performance data, identify patterns, and optimize system operations in real-time, leading to reduced energy consumption, lower costs, and improved occupant satisfaction. Moreover, AI-driven BMS solutions have the potential to transform buildings into living ecosystems that actively learn and adapt to the needs of their occupants. Imagine a building that learns the preferences of its inhabitants, adjusting temperature and lighting settings accordingly. Picture an infrastructure that can predict maintenance requirements, preventing system failures and reducing downtime. This new era of intelligent buildings, empowered by AI and BMS, promises to redefine the way we design, construct, and inhabit our living and working spaces. However, as with any transformative technology, the integration of AI and BMS also poses its share of challenges. Ethical considerations regarding data privacy, transparency, and the responsible use of AI algorithms must be at the forefront of our discussions. We must also ensure that these technological advancements are accessible to all, promoting inclusivity and reducing the digital divide. As we embark on this journey, it is crucial to navigate the complexities and uncertainties with a sense of responsibility, constantly evaluating the impact of our decisions on society and the environment. This book serves as a guide, illuminating the intricate relationship between AI and BMS, unveiling their potential and examining their implications. Through a collection of insightful chapters, we delve into the practical applications of AI in building management, explore cutting-edge research, and highlight success stories from across industries. Our aim is to provide a comprehensive overview of the advancements, challenges, and opportunities that lie at the intersection of these two domains. As you embark on this enlightening journey, we invite you to open your mind to the boundless possibilities that AI and BMS offer. Together, let us unlock the potential of intelligent buildings, foster sustainable practices, and shape a future where technology enhances our lives while preserving the very essence of what it means to be human. Charles Nehme
Author: Roberto Moreno-Díaz
Publisher: Springer
ISBN: 3319747185
Category : Computers
Languages : en
Pages : 512
Get Book Here
Book Description
The two-volume set LNCS 10671 and 10672 constitutes the thoroughly refereed proceedings of the 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, held in Las Palmas de Gran Canaria, Spain, in February 2017. The 117 full papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on: pioneers and landmarks in the development of information and communication technologies; systems theory, socio-economic systems and applications; theory and applications of metaheuristic algorithms; stochastic models and applications to natural, social and technical systems; model-based system design, verification and simulation; applications of signal processing technology; algebraic and combinatorial methods in signal and pattern analysis; computer vision, deep learning and applications; computer and systems based methods and electronics technologies in medicine; intelligent transportation systems and smart mobility.
Author: Maik Maurer
Publisher: Springer
ISBN: 3662534487
Category : Technology & Engineering
Languages : en
Pages : 160
Get Book Here
Book Description
The treatise supports understanding the phenomena of complexity in engineering, distinguishes complexity from other challenges and presents an overview of definitions and applied approaches.The historical background of complexity management is explained by highlighting the important epochs, their key actors and their discoveries, findings and developments. Knowing about the appearance of early system awareness in ancient Greece, the creation of mechanical philosophy in the 17th century and the discovery of classic physics enables the reader to better comprehend modern system sciences and management approaches.A classification of complexity management approaches by research fields indicates current focus areas and starting points for future discussions. In a comprehensive map, the classification points out mutual overlaps between engineering disciplines in terms of similar complexity management approaches.Finally, the treatise introduces a generic complexity management framework, which is based on structural management approaches.
Author: Nan Zhang
Publisher: Springer Nature
ISBN: 9819710294
Category :
Languages : en
Pages : 311
Get Book Here
Book Description
