Data Driven Decision Making And Dynamic Planning
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Data Driven Decision Making And Dynamic Planning
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Author : Paul Preuss
language : en
Publisher: Routledge
Release Date : 2013-09-27
Data Driven Decision Making And Dynamic Planning written by Paul Preuss and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-27 with Education categories.
This book will help you understand how to integrate data-based decisions into the daily work of the school. It is a practical and relevant handbook for converting data into wise decision-making and planning. It will give you the skills to successfully make data-based decisions, measure student learning and program effectiveness, evaluate student progress, use data to improve instruction, integrate a "Dynamic Planning" process into the daily operation of your school.
Handbook Of Dynamic Data Driven Applications Systems
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Author : Erik P. Blasch
language : en
Publisher: Springer Nature
Release Date : 2022-05-11
Handbook Of Dynamic Data Driven Applications Systems written by Erik P. Blasch and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-11 with Computers categories.
The Handbook of Dynamic Data Driven Applications Systems establishes an authoritative reference of DDDAS, pioneered by Dr. Darema and the co-authors for researchers and practitioners developing DDDAS technologies. Beginning with general concepts and history of the paradigm, the text provides 32 chapters by leading experts in ten application areas to enable an accurate understanding, analysis, and control of complex systems; be they natural, engineered, or societal: The authors explain how DDDAS unifies the computational and instrumentation aspects of an application system, extends the notion of Smart Computing to span from the high-end to the real-time data acquisition and control, and manages Big Data exploitation with high-dimensional model coordination. The Dynamically Data Driven Applications Systems (DDDAS) paradigm inspired research regarding the prediction of severe storms. Specifically, the DDDAS concept allows atmospheric observing systems, computer forecast models, and cyberinfrastructure to dynamically configure themselves in optimal ways in direct response to current or anticipated weather conditions. In so doing, all resources are used in an optimal manner to maximize the quality and timeliness of information they provide. Kelvin Droegemeier, Regents’ Professor of Meteorology at the University of Oklahoma; former Director of the White House Office of Science and Technology Policy We may well be entering the golden age of data science, as society in general has come to appreciate the possibilities for organizational strategies that harness massive streams of data. The challenges and opportunities are even greater when the data or the underlying system are dynamic - and DDDAS is the time-tested paradigm for realizing this potential. Sangtae Kim, Distinguished Professor of Mechanical Engineering and Distinguished Professor of Chemical Engineering at Purdue University
Handbook Of Dynamic Data Driven Applications Systems
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Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2023-09-14
Handbook Of Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-14 with Computers categories.
This Second Volume in the series Handbook of Dynamic Data Driven Applications Systems (DDDAS) expands the scope of the methods and the application areas presented in the first Volume and aims to provide additional and extended content of the increasing set of science and engineering advances for new capabilities enabled through DDDAS. The methods and examples of breakthroughs presented in the book series capture the DDDAS paradigm and its scientific and technological impact and benefits. The DDDAS paradigm and the ensuing DDDAS-based frameworks for systems’ analysis and design have been shown to engender new and advanced capabilities for understanding, analysis, and management of engineered, natural, and societal systems (“applications systems”), and for the commensurate wide set of scientific and engineering fields and applications, as well as foundational areas. The DDDAS book series aims to be a reference source of many of the important research and development efforts conducted under the rubric of DDDAS, and to also inspire the broader communities of researchers and developers about the potential in their respective areas of interest, of the application and the exploitation of the DDDAS paradigm and the ensuing frameworks, through the examples and case studies presented, either within their own field or other fields of study. As in the first volume, the chapters in this book reflect research work conducted over the years starting in the 1990’s to the present. Here, the theory and application content are considered for: Foundational Methods Materials Systems Structural Systems Energy Systems Environmental Systems: Domain Assessment & Adverse Conditions/Wildfires Surveillance Systems Space Awareness Systems Healthcare Systems Decision Support Systems Cyber Security Systems Design of Computer Systems The readers of this book series will benefit from DDDAS theory advances such as object estimation, information fusion, and sensor management. The increased interest in Artificial Intelligence (AI), Machine Learning and Neural Networks (NN) provides opportunities for DDDAS-based methods to show the key role DDDAS plays in enabling AI capabilities; address challenges that ML-alone does not, and also show how ML in combination with DDDAS-based methods can deliver the advanced capabilities sought; likewise, infusion of DDDAS-like approaches in NN-methods strengthens such methods. Moreover, the “DDDAS-based Digital Twin” or “Dynamic Digital Twin”, goes beyond the traditional DT notion where the model and the physical system are viewed side-by-side in a static way, to a paradigm where the model dynamically interacts with the physical system through its instrumentation, (per the DDDAS feed-back control loop between model and instrumentation).
Data Driven Intelligent Business Sustainability
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Author : Singh, Sonia
language : en
Publisher: IGI Global
Release Date : 2023-12-05
Data Driven Intelligent Business Sustainability written by Singh, Sonia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-05 with Computers categories.
Data-driven decision making is crucial for ensuring the long-term sustainability of businesses and economic growth. While rapid technological advancements have enabled the collection and analysis of data on an unprecedented scale, businesses face challenges in adopting evidence-based decision making. Data-Driven Intelligent Business Sustainability is a comprehensive guide that examines the challenges and opportunities presented by data-driven decision making. It covers new technologies like blockchain, IoT, and AI, explores their potential for sustainable business success, and provides guidance on managing cybersecurity threats. The book also includes case studies and examples of successful implementations of data-driven decision making, making it a practical resource for those seeking to upskill or reskill in this field. Targeted at computer science and engineering professionals, researchers, and students, the book provides valuable insights into the role of data-driven decision making in business sustainability, helping businesses achieve long-term success.
Dynamic Data Driven Applications Systems
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Author : Frederica Darema
language : en
Publisher: Springer Nature
Release Date : 2020-11-02
Dynamic Data Driven Applications Systems written by Frederica Darema and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-02 with Computers categories.
This book constitutes the refereed proceedings of the Third International Conference on Dynamic Data Driven Application Systems, DDDAS 2020, held in Boston, MA, USA, in October 2020. The 21 full papers and 14 short papers presented in this volume were carefully reviewed and selected from 40 submissions. They cover topics such as: digital twins; environment cognizant adaptive-planning systems; energy systems; materials systems; physics-based systems analysis; imaging methods and systems; and learning systems.
Planning Tools For Policy Leadership And Management Of Education Systems
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Author : Agboola, Bolapeju Mary
language : en
Publisher: IGI Global
Release Date : 2024-10-22
Planning Tools For Policy Leadership And Management Of Education Systems written by Agboola, Bolapeju Mary and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-22 with Education categories.
Effective educational planning tools can transform the future of education systems. From policy formulation to leadership and management strategies, these planning tools are pivotal when navigating complex educational reform for equitable student learning opportunities. It is necessary to explore data insights into systemic improvements and successful education environments, when developing plans for institutional change. Change transformations must be informed by current challenges as technologies continue to shift and the demand for equity in education becomes pivotal. Planning Tools for Policy, Leadership, and Management of Education Systems explores solutions for improved education system management as well as effective policies and leadership skills in education administration. It covers issues of planning, policy, and management in education for institutional change transformation and policy implementation. This book covers topics such as digital technology, education policy, and sustainable development, and is a useful resource for administrators, teachers, education professionals, policymakers, business owners, academicians, scientists, and researchers.
Dynamic Data Driven Simulation Real Time Data For Dynamic System Analysis And Prediction
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Author : Xiaolin Hu
language : en
Publisher: World Scientific
Release Date : 2023-03-21
Dynamic Data Driven Simulation Real Time Data For Dynamic System Analysis And Prediction written by Xiaolin Hu and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-21 with Computers categories.
This comprehensive book systematically introduces Dynamic Data Driven Simulation (DDDS) as a new simulation paradigm that makes real-time data and simulation model work together to enable simulation-based prediction/analysis.The text is significantly dedicated to introducing data assimilation as an enabling technique for DDDS. While data assimilation has been studied in other science fields (e.g., meteorology, oceanography), it is a new topic for the modeling and simulation community.This unique reference text bridges the two study areas of data assimilation and modelling and simulation, which have been developed largely independently from each other.
The Intelligent State
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Author : Arun Prakash Shivakumar
language : en
Publisher: Notion Press
Release Date : 2024-08-14
The Intelligent State written by Arun Prakash Shivakumar and has been published by Notion Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-14 with Health & Fitness categories.
In an era where technology is rapidly transforming every aspect of our lives, understanding the implications and potential of Artificial Intelligence (AI) is more crucial than ever. "The Intelligent State" aims to bridge the gap between the complex world of AI and the public. Often perceived as a subject for technologists, this book makes AI accessible and relevant to everyone. The primary objective is to educate readers about AI and provide a new perspective on its potential to create a better future. It explores AI's applications, benefits, challenges, and ethical considerations in governance, inspiring readers to think critically and creatively about technology in public administration. Blending technical insights with practical strategies, the book illustrates AI's transformative power, from improving public services to enhancing transparency and accountability. It encourages individuals to take an active role in shaping the future, promoting collaboration between government and citizens. This book seeks to inform and inspire, sparking new ideas and innovative thinking beyond its pages, fostering a more efficient, transparent, and responsive society.
Unleashing Human Potential Hr Strategies For A Dynamic Business Landscape
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date :
Unleashing Human Potential Hr Strategies For A Dynamic Business Landscape written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
In a world where businesses are constantly evolving and adapting to new challenges, HR professionals are called upon to play a more strategic role than ever before. Unleashing Human Potential: HR Strategies for a Dynamic Business Landscape provides a comprehensive guide for HR leaders to navigate the changing landscape and drive organizational success. This book delves into the evolving role of HR in business transformation, emphasizing the need for HR professionals to align their strategies with the overall goals of the organization. It offers practical insights on how to measure and communicate the value of HR, ensuring that HR is seen as a strategic partner rather than a support function. With a focus on real-world applications, the book offers a step-by-step framework for building a high-performance workforce. It provides guidance on attracting and retaining top talent, developing a culture of learning and growth, and managing a diverse and inclusive workforce. The book also highlights the importance of HR in employee well-being and retention, recognizing that engaged and motivated employees are essential for organizational success. Recognizing the impact of technological advancements on the HR function, the book explores the future of HR in the digital age. It examines how HR leaders can leverage technology to enhance efficiency, effectiveness, and employee experience. It also addresses the ethical considerations in HR data analytics, ensuring that HR professionals use data responsibly and ethically. Throughout the book, the author emphasizes the importance of data-driven decision-making in HR. The book introduces HR professionals to the world of HR analytics, explaining how to harness people analytics for strategic insights, measure HR's impact on business outcomes, and improve talent acquisition and development. With its comprehensive coverage of HR strategies, practical insights, and forward-looking perspective, Unleashing Human Potential: HR Strategies for a Dynamic Business Landscape is an invaluable resource for HR professionals looking to drive organizational success in the 21st century. If you like this book, write a review!
Digital Twin Blockchain And Sensor Networks In The Healthy And Mobile City
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Author : Tuan Anh Nguyen
language : en
Publisher: Elsevier
Release Date : 2025-02-28
Digital Twin Blockchain And Sensor Networks In The Healthy And Mobile City written by Tuan Anh Nguyen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Computers categories.
In smart cities, information and communication technologies are integrated to exchange real-time data between citizens, governments, and organizations. Blockchain provides security for communication and transactions between multiple stakeholders. Digital twin refers to a simulation of physical products in a virtual space. This simulation fully utilizes the physical models, wireless sensor networks, and historical data of city operation to integrate big information (digital twin cities) under multidiscipline, multiphysical quantities, multiscale, and multiprobability.Digital Twin, Blockchain, and Sensor Networks in the Healthy and Mobile City explores how digital twins and blockchain can be used in smart cities. Part 1 deals with their promising applications for healthy cities. Part 2 covers other promising applications and current perspectives of blockchain and digital twins for future smart society and smart city mobility. Together with its companion volume, Digital Twin and Blockchain for Sensor Networks in Smart Cities, this book helps to understand the vast amount of data around the city to encourage happy, healthy, safe, and productive lives.• Describes the fundamentals of blockchain and digital twin• Explores how blockchain and digital twin work with smart sensor networks • Discusses how future technologies can benefit the healthcare of everyday lives • Explains how intelligent sensor networks can be used in a healthy and mobile city