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  • Innovation in Energy Security and Long-Term Energy Efficiency
    Innovation in Energy Security and Long-Term Energy Efficiency

    The sustainable development of our planet depends on the use of energy. The growing population of the world inevitably causes an increase in the demand for energy, which, on the one hand, threatens the potential for shortages of energy supply, and, on the other hand, causes the deterioration of the environment.Therefore, our task is to reduce this demand through different innovative solutions (i.e., both technological and social). Social marketing and economic policies can also play a role in affecting the behavior of households and companies, by causing behavioral change oriented to energy stewardship, and an overall switch to renewable energy resources. This book provides a platform for the exchange of a wide range of ideas, which, ultimately, would facilitate the driving of societies to long-term energy efficiency.

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  • Cloud Computing : Concepts, Technology, Security, and Architecture
    Cloud Computing : Concepts, Technology, Security, and Architecture

    Cloud Computing: Concepts, Technology, Security & Architecture Cloud computing has become an integral and foundational part of information technology.The majority of digital business activity and technology innovation occurs with the involvement of contemporary cloud environments that provide highly sophisticated automated technology infrastructure and a vast range of technology resources.To successfully build upon, interact with, or create a cloud environment requires an understanding of its common inner mechanics, architectural layers, models, and security controls.It also requires an understanding of the business and economic factors that justify the adoption and real-world use of clouds and cloud-based products and services. In Cloud Computing: Concepts, Technology, Security & Architecture, Thomas Erl, one of the world's top-selling IT authors, teams up with cloud computing expert Eric Barceló Monroy and researchers to break down proven and mature cloud computing technologies and practices into a series of well-defined concepts, technology mechanisms, and technology architectures.Comprehensive coverage of containerization and cybersecurity topics is also included. All chapters are carefully authored from an industry-centric and vendor-neutral point of view.In doing so, the book establishes concrete, academic coverage with a focus on structure, clarity, and well-defined building blocks for mainstream cloud computing and containerization platforms and solutions.With nearly 370 figures, 40 architectural models, and 50 mechanisms, this indispensable guide provides a comprehensive education of contemporary cloud computing, containerization, and cybersecurity that will never leave your side.

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  • Structural Equation Modeling of Multiple Rater Data
    Structural Equation Modeling of Multiple Rater Data

    The use of multiple raters can improve the validity of conclusions made on self- (and other) reports of emotions, attitudes, goals, and self-perceptions of personality.Yet analyzing these ratings requires special psychometric models that take into account the specific nature of these data.From leading authorities, this book offers the first comprehensive introduction to structural equation modeling (SEM) of multiple rater data.Rather than taking a one-size-fits-all approach, the book shows how the choice of a model should be guided by measurement design and purpose.Practical recommendations are provided for selecting suitable measurement designs, raters, and psychometric models.Models for different combinations of rater types and for cross-sectional as well as longitudinal research designs are described step by step, with a strong emphasis on the substantive meaning of the latent variables in the models.User-friendly features include equation boxes, application boxes, and a companion website with Mplus and lavaan code for the book’s examples.

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  • Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology
    Managing Cloud Native Data on Kubernetes : Architecting Cloud Native Data Services Using Open Source Technology

    Kubernetes has become the primary platform for deploying and managing cloud native applications.But because it was originally designed for stateless workloads, working with data on Kubernetes has been challenging.If you want to avoid the inefficiencies and duplicative costs of having separate infrastructure for applications and data, this practical guide can help. Using Kubernetes as your platform, you'll discover open source technologies that are designed and built for the cloud.Delve into case studies to avoid the pitfalls others have faced and explore new use cases.Get an insider's view of what's coming from the innovators who are creating next-generation architectures and infrastructure. And you'll learn how to: Manage different data use cases on Kubernetes Reduce costs and simplify application development Leverage data and infrastructure to create new use cases and business models Make data infrastructure choices that are cost-efficient, secure, scalable, and elastic And more

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  • What does multiple data usage mean?

    Multiple data usage refers to the ability to use the same set of data for different purposes or applications. This can include using the data for analysis, reporting, visualization, and decision-making across various departments or teams within an organization. By leveraging the same data for multiple purposes, organizations can improve efficiency, consistency, and accuracy in their decision-making processes. It also allows for better collaboration and alignment across different functions within the organization.

  • What does multiple data consumption mean?

    Multiple data consumption refers to the practice of accessing and utilizing various sources of data to gather insights, make informed decisions, and drive business strategies. This involves collecting, analyzing, and interpreting data from different channels, such as social media, customer feedback, sales reports, and website analytics, to gain a comprehensive understanding of trends, patterns, and customer behavior. By integrating data from multiple sources, organizations can enhance their decision-making processes, improve operational efficiency, and stay competitive in today's data-driven business environment.

  • Can I use Adobe Creative Cloud on multiple computers?

    Yes, you can use Adobe Creative Cloud on multiple computers. Adobe allows you to install and activate Creative Cloud apps on up to two computers simultaneously, regardless of the operating system. This flexibility allows users to work on different devices without any issues. Just make sure to sign in with your Adobe ID on each computer to access your Creative Cloud subscription.

  • How can the cloud be used by multiple users?

    The cloud can be used by multiple users through a shared access model. This means that multiple users can access and use the same cloud resources, such as storage, applications, and services, simultaneously. Cloud service providers offer features like user authentication, access control, and resource sharing to enable multiple users to collaborate and work together on the same cloud platform. Additionally, cloud-based collaboration tools and communication platforms allow users to share and edit documents, communicate in real-time, and work on projects together from different locations.

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  • Robots, Automation and the Innovation Economy
    Robots, Automation and the Innovation Economy

    Cascades of new technologies and innovations are entering our lives so fast that it is difficult for us to adapt to one innovation before the next becomes embedded into our everyday lives.What happens when the changes brought by technology are so profound that they affect all aspects of our lives?This book explores the potential impact of artificial intelligence (AI) and intelligent robots on individuals, organizations and society, specifically examining the impact on jobs and workplaces in the future.It provides an understanding of how we can adapt to changes that appear like flocks of black swans. Five key areas are unpacked in the book: automation, AI, (the significance of AI technology), innovation, competence transformation, and the fact that the pace of change is so rapid that it outstrips our ability to adapt to consecutive changes.The main objective is to show how AI will change society and how we as individuals and society must adapt in order to survive what the author terms ‘robot shock’, together with its consequences and after-effects.It offers a greater understanding of resistance to change and how we need to adopt strategies for adapting to major changes.Each of the book’s six chapters also contains policy inputs, framed as propositions, that are intended specifically for decision-makers.The book concludes by offering possible strategies for overcoming the negative effects of ‘robot shock’. The book intends to send a message to leaders of institutions, decision-makers and anyone attempting to understand and explain how we – as a social system – can succeed in tackling the many major challenges and crises faced by humanity.

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  • Innovation in Information Technology
    Innovation in Information Technology


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  • Technology and Innovation Management
    Technology and Innovation Management

    Technology and Innovation Management is one of the most sought-after courses offered like MBA or PGDM in Business Schools and various Technology Institutes, today.This book, written with deep ingrained practical insights and well-researched theoretical foundations integrates people, processes and technology to achieve maximum economic benefits to society.The book is designed to be a compendium for students and managers, who wish to understand technology and innovation management to the core.The book explains the relationship between technology innovation and strategy in a simplified manner.Keeping Indian education framework in mind, this book details on practices and principles that are easy to implement.The theories are simple to grasp, and anecdotal stories on Technology and Innovation implementations make it a student-friendly edition, to help achieve success in exams as well as in the professional front.It further explains the core principles of Technology and Innovation Management.S-Curve and the Segment Zero Principle, adopting industry 4.0 and innovation 4.0 to make India a smart and intelligent manufacturing hub in the era of fourth industrial revolution, design thinking for solving complex business problems along with the role and contribution of Government in Technology Development.

    Price: 18.95 £ | Shipping*: 3.99 £
  • Technology Innovation in Manufacturing
    Technology Innovation in Manufacturing

    This text identifies and discusses different technology innovation initiatives (TIIs) such as entrepreneurial capability, technology infrastructure capability, organizational culture and climate, and government initiatives.It further evaluates the relationship between various technology innovation initiatives and manufacturing performances using multi-criteria decision-making techniques such as fuzzy set theory (FST), structural equation modeling (SEM), and analytic hierarchy process (AHP).It will serve as an ideal reference text for graduate students and academic researchers in the field of industrial engineering, manufacturing engineering, mechanical engineering, automotive engineering. This book:• Discusses technology innovation initiatives such as entrepreneurial capability, technology infrastructure capability, and organizational culture. • Highlights technology innovation-strategy model in assisting manufacturing industries for enhancing their performance in today’s competitive environment. • Examines the effect of technology innovation initiatives on the performance of manufacturing industries. • Covers multi-criteria decision-making techniques such as fuzzy set theory, structural equation modeling, and analytic hierarchy process. • Explores the validation of fuzzy-based technology innovation model through structural equation modeling.

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  • Why does Google work with multiple data centers?

    Google works with multiple data centers to ensure high availability and reliability of its services. By distributing its workload across multiple data centers, Google can handle large amounts of traffic and prevent service disruptions in case of hardware failures or natural disasters. Additionally, having multiple data centers allows Google to reduce latency by serving users from the data center closest to them, improving the overall user experience.

  • How can one capture multiple pieces of data simultaneously?

    One way to capture multiple pieces of data simultaneously is by using a data collection tool or software that allows for the input of various data points at the same time. This could involve creating a form or survey with fields for each piece of data to be collected. Another method is to use technology such as sensors or IoT devices that can automatically gather and transmit multiple data points in real-time. Additionally, utilizing a database or spreadsheet with structured fields can help organize and capture multiple pieces of data efficiently.

  • How can one sum multiple data in PHP SQL?

    In PHP SQL, one can sum multiple data by using the SUM() function in a SQL query. This function allows you to add up the values of a specific column in a table. You can also use the GROUP BY clause to sum up multiple data based on a specific column or condition. Additionally, you can use the WHERE clause to filter the data before summing it up. Overall, by using these SQL functions and clauses within PHP, you can easily sum up multiple data from a database.

  • Can data be compared across multiple worksheets in Excel?

    Yes, data can be compared across multiple worksheets in Excel. One way to do this is by using the VLOOKUP function to search for and retrieve data from another worksheet. Another method is to use the Consolidate feature to combine data from multiple worksheets into one. Additionally, you can use formulas and functions to perform calculations and comparisons across multiple worksheets. Overall, Excel provides various tools and functions that allow for easy comparison of data across multiple worksheets.

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