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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.
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Automation and Manufacturing for the Built Environment
Automation and Manufacturing for the Built Environment is a plain-language guide to the application of automation and manufacturing technologies and processes to the delivery and operation of the built environment.Covering the full asset lifecycle, the book provides a straightforward guide to a wide range of technologies, showing where they fit and the benefits that they have, with real-world examples of their applications. Coverage in the book includesnew models to assess the potential benefits and impacts of new technologies, and to consider their implications how automation and manufacturing-led approaches can complement each other to address longstanding construction industry challengesoverview of automation and manufacturing technologies likely to offer greatest value in the short, medium and long-term“no-regret” decisions that can be made today that will be of value in the future, including development of structured product data, logical data models and use of generative design toolsthe crucial roles of planning and connectivity between technologies2035 scenarios based on adoption of different automation and manufacturing-led models. The book also presents assessments on the potential levels of automation that different technologies are likely to deliver up to 2035, the wider benefits they can deliver and impacts on the future of work. Automation and Manufacturing for the Built Environment will be of interest to a wide range of construction professionals seeking information in the very latest developments in the industry, including clients; senior managers; digital leads, information and BIM managers; engineers; architects; and planners.It is equally applicable to small and large enterprises.
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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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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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What RGB software is available for hardware components?
There are several RGB software options available for controlling RGB lighting on hardware components. Some popular choices include ASUS Aura Sync, MSI Mystic Light, Gigabyte RGB Fusion, Corsair iCUE, and NZXT CAM. These software programs allow users to customize and synchronize the RGB lighting on their components to create unique lighting effects.
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Practical Control Engineering for Mechatronics and Automation
Production processes and engineered systems use continuous and discrete variables, as well as the combination of continuous and sequential operations.This volume covers both aspects, thus providing knowledge in continuous and discrete control, logic control, and hybrid control systems.It is a compilation of selected control strategies to automate processes and systems with a practical approach to ease their design, analysis and implementation.The selection of the control schemes is based on the capability to provide desired dynamical response or real time performance.Practicality is required for achieving faster development times of automation projects or system prototypes by comprehensive presentation and direct application of methodologies and techniques for efficient and structured programming of control algorithms.Considered methodologies include model-based design, hardware in the loop simulations and structured programming.Fundamental signals and systems concepts are explained.Systems and controllers are analyzed using discrete-time equations, which ease their implementation in most programmable platforms without requiring sophisticated software.PID based control, internal model control and model reference control are viewed as powerful schemes in terms of performance and suitability for mechatronics systems because of the use of the model in their architecture as a key control element.Finite state machines are presented to solve sequential requirements of direct and supervisory control of many processes and machines.Cyberphysical systems are an industrial technology and an education trend, distinguished by visual and dynamic models or digital twins of the physical systems.The discussed analysis, design and implementation practices are integrated and applied in the context of cyberphysical systems.This book aims to provide multidisciplinary support to engineers and practitioners in the design of control systems, and is a valuable tool for automation teaching and self-learning.
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Requirements Engineering for Software and Systems
Solid requirements engineering has increasingly been recognized as the key to improved, on-time, and on-budget delivery of software and systems projects.New software tools are emerging that are empowering practicing engineers to improve their requirements engineering habits.However, these tools are not usually easy to use without significant training.Requirements Engineering for Software and Systems, Fourth Edition is intended to provide a comprehensive treatment of the theoretical and practical aspects of discovering, analyzing, modeling, validating, testing, and writing requirements for systems of all kinds, with an intentional focus on software-intensive systems.It brings into play a variety of formal methods, social models, and modern requirements writing techniques to be useful to practicing engineers.The book is intended for professional software engineers, systems engineers, and senior and graduate students of software or systems engineering. Since the first edition, there have been made many changes and improvements to this textbook.Feedback from instructors, students, and corporate users was used to correct, expand, and improve the materials.The fourth edition features two newly added chapters: "On Non-Functional Requirements" and "Requirements Engineering: Road Map to the Future." The latter provides a discussion on the relationship between requirements engineering and such emerging and disruptive technologies as Internet of Things, Cloud Computing, Blockchain, Artificial Intelligence, and Affective Computing. All chapters of the book were significantly expanded with new materials that keep the book relevant to current industrial practices.Readers will find expanded discussions on new elicitation techniques, agile approaches (e.g., Kanpan, SAFe, and DEVOps), requirements tools, requirements representation, risk management approaches, and functional size measurement methods.The fourth edition also has significant additions of vignettes, exercises, and references.Another new feature is scannable QR codes linked to sites containing updates, tools, videos, and discussion forums to keep readers current with the dynamic field of requirements engineering.
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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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Manufacturing Processes for Engineering Materials in SI Units
Forundergraduate courses in Mechanical, Industrial, Metallurgical, and MaterialsEngineering Programs or for graduate courses in Manufacturing Science andEngineering. ManufacturingProcesses for Engineering Materials addressesadvances in all aspects of manufacturing, clearlypresenting comprehensive, up-to-date, and balanced coverage of thefundamentals of materials and processes.With the 6th Edition in SIUnits, students learn to properly assess the capabilities, limitations, andpotential of manufacturing processes and their competitive aspects.The authorspresent information that motivates and challenges students to understand anddevelop an appreciation of the vital importance of manufacturing in the modernglobal economy.The numerous examples and case studies throughout the book helpstudents develop a perspective on the real-world applications of the topicsdescribed in the book.As in previous editions, this text maintains the samenumber of chapters while continuing to emphasize the interdisciplinary natureof all manufacturing activities, including the complex interactions amongmaterials, design, and manufacturing processes.
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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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Why do you need software for hardware-level programming?
Software is needed for hardware-level programming because it provides a way to communicate with and control the physical components of a computer system. Hardware-level programming involves writing code that directly interacts with the hardware, such as configuring registers, setting up interrupts, and managing memory. Without software, it would be impossible to manipulate the hardware at such a low level and create efficient and optimized programs that fully utilize the capabilities of the hardware. Additionally, software provides a layer of abstraction that simplifies the complexity of hardware interactions, making it easier for programmers to work with the underlying hardware components.
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Which programming language is suitable for software development for the PC?
There are several programming languages that are suitable for software development for the PC, but some of the most popular and widely used ones include C++, Java, and C#. C++ is a powerful and versatile language that is commonly used for developing system software and applications that require high performance. Java is a popular choice for developing cross-platform applications, as it can run on any operating system that has a Java Virtual Machine. C# is commonly used for developing Windows applications and is well-integrated with the .NET framework. Ultimately, the choice of programming language depends on the specific requirements of the software being developed and the preferences of the development team.
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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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