Research Methods Complex Dynamic (30 results)

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Taschenbuch. Condition: Neu. Neuware - This edited volume is a timely and significant contribution to second language development research from a Complex Dynamic Systems Theory (CDST) perspective. The book addresses the growing need for consistent and practical methodologies for CDST research. Each chapter presents an innovative method or approach, illustrating its use in concrete applications to empirical studies and highlighting its value in capturing the dynamic, time-sensitive, and interconnected nature of L2 development. The volume emphasizes a shift from static outcomes to developmental processes, offering tools to explore intra-learner variability, network analysis, dynamic modeling, and more. By bridging theory and practice, it equips researchers with methodological guidance to investigate the process of second language development. Building on and extending previous volumes on CDST research methods by Verspoor et al. (2011) and Hiver and Al-Hoorie (2019), this book serves as a crucial reference for future CDST-informed research in Applied Linguistics.…

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts.The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.…

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts.The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data.…

Taschenbuch. Condition: Neu. Dynamic Modeling of Complex Industrial Processes: Data-driven Methods and Application Research | Chao Shang | Taschenbuch | Springer Theses | xviii | Englisch | 2019 | Springer | EAN 9789811338892 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited book considers social systems as self-organizing structures that reproduce new structural elements endowed with certain functional connections. The authors analyze innovative processes in social systems, leading to the sustainable convergence of knowledge and the emergence of technologies that improve the level of material well-being in society. The book summarizes research results in the field of digitalization and reveals deep connections with social problems. In addition, the book presents a whole array of innovative research on social systems management and the application of knowledge and intelligence to the solution of social problems. The contributing scholars and practitioners reflect on various types of social systems and assess the influence of disruptive factors from natural and coupled human-natural environments, discussing possible mechanisms for their neutralization.Sustainable development of social systems is among the most important tasks facingthe contemporary world. The contributed book highlights challenges to the sustainability of social systems, draws sociotechnical images of the future world order generated by the rapid development of intellectual technologies, and critically analyzes promising concepts for more sustainable social future. Among the discussed topics in the book are social governance, digital economy, technological landscapes, social systems modeling and simulation, cyber-social systems, knowledge-based innovation systems, complex processes in social systems, institutional arrangements, and other advancing research areas.The high-quality and original studies presented in the book appeal to those interested in broadening their perspectives on complexity science, complex social systems research, complex systems management, advanced technological development in social systems, etc. Since the book is rich with well-thought theories, advanced research approaches, and interdisciplinary research results, it becomes a great source of new ideas and insights on complex social systems. …

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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts.The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data. 164 pp. Englisch.…

Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring and quality prediction problems in industrial production contexts.The thesis reveals the slowly varying nature of industrial production processes under feedback control, and integrates it with process data analytics to offer powerful prior knowledge that gives rise to statistical methods tailored to industrial data. It addresses several issues of immediate interest in industrial practice, including process monitoring, control performance assessment and diagnosis, monitoring system design, and product quality prediction. In particular, it proposes a holistic and pragmatic design framework for industrial monitoring systems, which delivers effective elimination of false alarms, as well as intelligent self-running by fully utilizing the information underlying the data. One of the strengths of this thesis is its integration of insights from statistics, machine learning, control theory and engineering to provide a new scheme for industrial process modeling in the era of big data. 164 pp. Englisch.…

Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring .…

Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This thesis develops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principle. Using said framework as a point of departure, it then proposes novel strategies for dealing with control monitoring .…

Condition: New. Print on Demand pp. 143.

Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nominated as an outstanding PhD thesis by Tsinghua UniversityDevelops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principleProposes an effective process monitoring strategy to eliminate false alarms in industrial productionPresents a holistic framework for adaptive process monitoring system designOffers dynamic quality prediction models with improved data utilization and accuracy for product quality controlSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.…

Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Nominated as an outstanding PhD thesis by Tsinghua UniversityDevelops a systematic, data-based dynamic modeling framework for industrial processes in keeping with the slowness principleProposes an effective process monitoring strategy to eliminate false alarms in industrial productionPresents a holistic framework for adaptive process monitoring system designOffers dynamic quality prediction models with improved data utilization and accuracy for product quality controlSpringer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.…

Condition: New. Print on Demand.

Condition: New. PRINT ON DEMAND pp. 143.

Condition: New. PRINT ON DEMAND.