Products related to Predictability:
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Natural Decadal Climate Variability : Phenomena, Mechanisms, and Predictability
Natural decadal climate variability (DCV) and its interactions with anthropogenic climate change (ACC) are vitally important to understand to predict the future of the Earth’s climate.This book, after familiarizing readers with the importance of understanding and predicting DCV phenomena and its distinction from ACC phenomena, comprehensively explains the physics of DCV, integrating paleoclimate proxy and modern instrument-based data and simulations with climate models.Features of this book: Uniquely focuses on natural DCV, its physics, and its predictability Presents an integrated view of DCV phenomena based on approximately 700 peer-reviewed publications cited in the book Includes research on influences of decadal variability in solar emissions on the Earth’s climate, with a historical perspective going back several centuries Describes progress in decadal climate predictability and prediction research, with a historical perspective on weather and climate predictability researchThis book is an excellent resource for graduate students, faculty members and other teachers and researchers, and anyone who is interested in learning about a very important component of the puzzle of the changing climate. "This book provides a comprehensive review…. Highlighted throughout the book are potential links between DCV and solar variability, a fascinating topic that has engaged our minds for centuries.Written by an expert with more than 30 years’ experience, this book should be an invaluable resource for students and researchers interested in how our climate will evolve over the coming decades."Doug Smith, Decadal Climate Prediction Leader, Meteorological Office Hadley Centre, UK"This book is a tour de force by the author who has spent his career studying decadal climate variability.He brings new insights to the vast scope of this topic, providing clearly understandable descriptions of the various aspects."Gerald Meehl, Senior Scientist, National Center for Atmospheric Research, Colorado, USA
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Natural Decadal Climate Variability : Phenomena, Mechanisms, and Predictability
Natural decadal climate variability (DCV) and its interactions with anthropogenic climate change (ACC) are vitally important to understand to predict the future of the Earth’s climate.This book, after familiarizing readers with the importance of understanding and predicting DCV phenomena and its distinction from ACC phenomena, comprehensively explains the physics of DCV, integrating paleoclimate proxy and modern instrument-based data and simulations with climate models.Features of this book: Uniquely focuses on natural DCV, its physics, and its predictability Presents an integrated view of DCV phenomena based on approximately 700 peer-reviewed publications cited in the book Includes research on influences of decadal variability in solar emissions on the Earth’s climate, with a historical perspective going back several centuries Describes progress in decadal climate predictability and prediction research, with a historical perspective on weather and climate predictability researchThis book is an excellent resource for graduate students, faculty members and other teachers and researchers, and anyone who is interested in learning about a very important component of the puzzle of the changing climate. "This book provides a comprehensive review…. Highlighted throughout the book are potential links between DCV and solar variability, a fascinating topic that has engaged our minds for centuries.Written by an expert with more than 30 years’ experience, this book should be an invaluable resource for students and researchers interested in how our climate will evolve over the coming decades."Doug Smith, Decadal Climate Prediction Leader, Meteorological Office Hadley Centre, UK"This book is a tour de force by the author who has spent his career studying decadal climate variability.He brings new insights to the vast scope of this topic, providing clearly understandable descriptions of the various aspects."Gerald Meehl, Senior Scientist, National Center for Atmospheric Research, Colorado, USA
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Human Factors in Engineering : Manufacturing Systems, Automation, and Interactions
This book addresses aspects of human factors in engineering and provides a detailed discussion of novel approaches, systems engineering tools, artificial cognitive systems, and intelligent technologies and automation.It presents applications in diverse areas, including digital manufacturing, transportation, infrastructure development, and cybersecurity. This book:• Merges the engineering perspective with the human factors and social dimension of computing and artificial intelligence–based technologies. • Covers technological development of human factors engineering and the human dimension in applications across all areas of modern society. • Relates to human behavior in the context of technology and systems interactions. • Discusses the design and the appropriation of 3D printing techniques in the management of an innovative product system. • Presents systems engineering tools, user experience methodologies, artificial cognitive systems, intelligent technologies, and automation. The text is for students, professionals, and researchers in the fields of ergonomics, human factors, industrial engineering, and manufacturing engineering.
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Software Test Automation : Software Test Automation
This book describes how to build and implement an automated testing regime for software development.It presents a detailed account of the principles of automated testing, practical techniques for designing a good automated testing regime, and advice on choosing and applying off-the-shelf testing tools to specific needs.This sound and practical introduction to automated testing comes from two authors well known for their seminars, consultancy and training in the field.
Price: 77.99 £ | Shipping*: 0.00 £
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Do you find predictability or unpredictability more attractive?
As an AI, I don't have personal preferences, but I can provide some insight. Some people may find predictability more attractive because it provides a sense of security and stability. On the other hand, others may find unpredictability more attractive as it can bring excitement and spontaneity to their lives. Ultimately, the preference for predictability or unpredictability varies from person to person and can depend on individual personality and life circumstances.
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In automation, which software is it?
In automation, the software used is typically referred to as automation software or automation tools. These tools are designed to automate repetitive tasks, streamline processes, and increase efficiency in various industries. Some popular examples of automation software include UiPath, Blue Prism, Automation Anywhere, and Selenium. These tools often use technologies such as robotic process automation (RPA) and artificial intelligence to mimic human actions and perform tasks with minimal human intervention.
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Software or hardware?
When deciding between software and hardware, it ultimately depends on the specific needs and goals of the user. Software provides flexibility, scalability, and ease of updates, making it ideal for tasks that require frequent changes or updates. On the other hand, hardware offers reliability, security, and performance for tasks that require high processing power or data storage. It is important to carefully evaluate the requirements of the project or task at hand to determine whether software or hardware is the best solution.
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'Software or hardware?'
The choice between software and hardware depends on the specific needs and goals of the user. Software provides flexibility and can be easily updated or customized, while hardware offers physical components that may be more reliable and provide better performance for certain tasks. Ultimately, the decision between software and hardware should be based on the specific requirements of the user and the intended use of the technology.
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Patterns in the Machine : A Software Engineering Guide to Embedded Development
Discover how to apply software engineering patterns to develop more robust firmware faster than traditional embedded development approaches.In the authors’ experience, traditional embedded software projects tend towards monolithic applications that are optimized for their target hardware platforms.This leads to software that is fragile in terms of extensibility and difficult to test without fully integrated software and hardware.Patterns in the Machine focuses on creating loosely coupled implementations that embrace both change and testability. This book illustrates how implementing continuous integration, automated unit testing, platform-independent code, and other best practices that are not typically implemented in the embedded systems world is not just feasible but also practical for today’s embedded projects. After reading this book, you will have a better idea of how to structure your embedded software projects.You will recognize that while writing unit tests, creating simulators, and implementing continuous integration requires time and effort up front, you will be amply rewarded at the end of the project in terms of quality, adaptability, and maintainability of your code.What You Will Learn Incorporate automated unit testing into an embedded projectDesign and build functional simulators for an embedded projectWrite production-quality software when hardware is not availableUse the Data Model architectural pattern to create a highly decoupled design and implementationUnderstand the importance of defining the software architecture before implementation starts and how to do itDiscover why documentation is essential for an embedded projectUse finite state machines in embedded projects Who This Book Is ForMid-level or higher embedded systems (firmware) developers, technical leads, software architects, and development managers.
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Advanced Manufacturing and Automation VIII
This proceeding is a compilation of selected papers from the 8th International Workshop of Advanced Manufacturing and Automation (IWAMA 2018), held in Changzhou, China on September 25 - 26, 2018.Most of the topics are focusing on novel techniques for manufacturing and automation in Industry 4.0 and smart factory.These contributions are vital for maintaining and improving economic development and quality of life.The proceeding will assist academic researchers and industrial engineers to implement the concepts and theories of Industry 4.0 in industrial practice, in order to effectively respond to the challenges posed by the 4th industrial revolution and smart factory.
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Beginning Software Engineering
Discover the foundations of software engineering with this easy and intuitive guide In the newly updated second edition of Beginning Software Engineering, expert programmer and tech educator Rod Stephens delivers an instructive and intuitive introduction to the fundamentals of software engineering.In the book, you’ll learn to create well-constructed software applications that meet the needs of users while developing the practical, hands-on skills needed to build robust, efficient, and reliable software.The author skips the unnecessary jargon and sticks to simple and straightforward English to help you understand the concepts and ideas discussed within.He also offers you real-world tested methods you can apply to any programming language.You’ll also get: Practical tips for preparing for programming job interviews, which often include questions about software engineering practicesA no-nonsense guide to requirements gathering, system modeling, design, implementation, testing, and debuggingBrand-new coverage of user interface design, algorithms, and programming language choicesBeginning Software Engineering doesn’t assume any experience with programming, development, or management.It’s plentiful figures and graphics help to explain the foundational concepts and every chapter offers several case examples, Try It Out, and How It Works explanatory sections.For anyone interested in a new career in software development, or simply curious about the software engineering process, Beginning Software Engineering, Second Edition is the handbook you’ve been waiting for.
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Agile Software Development
Agile Software Development is an introduction to agile software development methods.Agile methods try to diminish complexity, increase transparency, and reach a deployable product in a shorter time frame.Agile methods use an iterative and incremental approach to minimize risks and to avoid maldevelopment.The book gives a short introduction to agile methods and agile software development principles.It serves as a study book and as a reference manual.Based on the official Scrum Guide, the book also covers other topics such as best practices for agile software development and agile testing.It targets practitioners who want to start with agile software development, as well as developers or project managers who already use agile methodologies.The book can be read from the beginning, but each chapter has been written in a way so it can be read individually.
Price: 22.99 £ | Shipping*: 3.99 £
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In automation, which software is being used?
In automation, various software is being used depending on the specific application and industry. Some common examples of automation software include robotic process automation (RPA) tools such as UiPath, Blue Prism, and Automation Anywhere for automating repetitive tasks, industrial automation software like Siemens PLC and Rockwell Automation for controlling manufacturing processes, and software for test automation such as Selenium and Appium for automating software testing. Additionally, there are also software platforms for business process automation, such as Microsoft Power Automate and Zapier, which enable the automation of workflows and business processes.
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Is software development legal?
Yes, software development is legal as long as it complies with copyright laws and intellectual property rights. Developers must ensure that they have the necessary licenses for any third-party software or libraries they use, and they must also respect any open-source licenses if they use open-source software. Additionally, developers must adhere to any relevant laws and regulations related to data privacy and security when creating software. Overall, as long as software development is conducted in accordance with the law, it is legal.
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Can you go into computer game development with a bachelor's degree in computer software engineering?
Yes, you can definitely go into computer game development with a bachelor's degree in computer software engineering. This degree provides a strong foundation in programming, software development, and computer systems, which are all essential skills for game development. Additionally, many computer software engineering programs offer courses or specializations in game development, which can further prepare you for a career in this field. With the right skills and experience, a bachelor's degree in computer software engineering can be a great starting point for a career in game development.
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What is Automation Engineering as a course of study?
Automation Engineering is a multidisciplinary field that focuses on the design, development, and implementation of automated systems and processes. This course of study combines principles from electrical, mechanical, and computer engineering to create efficient and reliable automated systems for various industries such as manufacturing, transportation, and energy. Students in this program learn about control systems, robotics, industrial automation, and programming languages to develop the skills necessary to design and maintain automated systems. Graduates of Automation Engineering programs are prepared to work in a wide range of industries where automation is essential for improving productivity and efficiency.
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