Systems analysis and design Books

Book SynopsisA step-by-step guide that will help you create, share, and deploy applications across your organization using MS PowerAppsKey Features Create apps with rich user experiences without paying for costly developers Improve productivity with business process automation using Microsoft Power Automate Build enterprise-grade apps with MS PowerApps’ built-in storage space, Common Data Service Book DescriptionMicrosoft PowerApps provides a modern approach to building business applications for mobile, tablet, and browser. Learn Microsoft PowerApps will guide you in creating powerful and productive apps that will add value to your organization by helping you transform old and inefficient processes and workflows.Starting with an introduction to PowerApps, this book will help you set up and configure your first application. You’ll explore a variety of built-in templates and understand the key difference between types of applications such as canvas and model-driven apps, which are used to create apps for specific business scenarios. In addition to this, you’ll learn how to generate and integrate apps directly with SharePoint, and gain an understanding of PowerApps key components such as connectors and formulas. As you advance, you’ll be able to use various controls and data sources, including technologies such as GPS, and combine them to create an iterative app. Finally, the book will help you understand how PowerApps can use several Microsoft Power Automate and Azure functionalities to improve your applications.By the end of this PowerApps book, you’ll be ready to confidently develop lightweight business applications with minimal code.What you will learn Design an app by simply dragging and dropping elements onto your canvas Understand how to store images within PowerApps Explore the use of GPS and how you can use GPS data in PowerApps Get to grips with using barcodes and QR codes in your apps Share your applications with the help of Microsoft Teams and SharePoint Use connectors to share data between your app and Microsoft’s app ecosystem Who this book is forThis book is ideal for business analysts, IT professionals, and both developers and non-developers alike. If you want to meet business needs by creating high productivity apps, this book is for you. Don’t worry if you have no experience or knowledge of PowerApps, this book simplifies PowerApps for beginners.Table of ContentsTable of Contents Introducing PowerApps Creating Your First Canvas PowerApp Creating Apps from SharePoint Publishing and Leveraging PowerApps Exploring Controls Exploring Formulas Working with Data Introducing Connectors Using GPS in PowerApps Working with Images and Barcodes Securing Your PowerApps Working Offline Using Power Automate with PowerApps Using Azure with PowerApps Introducing Model-Driven Apps Creating Model-Driven Apps Exploring Environments within Our Tenancy

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Book SynopsisPlan, design, develop, and manage robust Power BI solutions to generate meaningful insights and make data-driven decisions.Purchase of the print or Kindle book includes a free eBook in the PDF format.Key Features Master the latest dashboarding and reporting features of Microsoft Power BI Combine data from multiple sources, create stunning visualizations and publish Power BI apps to thousands of users Get the most out of Microsoft Power BI with real-world use cases and examples Book DescriptionMastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI.What you will learn Build efficient data retrieval and transformation processes with the Power Query M language and dataflows Design scalable, user-friendly DirectQuery, import, and composite data models Create basic and advanced DAX measures Add ArcGIS Maps to create interesting data stories Build pixel-perfect paginated reports Discover the capabilities of Power BI mobile applications Manage and monitor a Power BI environment as a Power BI administrator Scale up a Power BI solution for an enterprise via Power BI Premium capacity Who this book is forBusiness Intelligence professionals and intermediate Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book useful. An understanding of basic BI concepts is required and some familiarity with Microsoft Power BI will be helpful to make the most out of this book.Table of ContentsTable of Contents Planning Power BI Projects Preparing Data sources Connecting to Sources and Transforming Data with M Designing Import, DirectQuery, and Composite Data Models Developing DAX Measures and Security Roles Planning Power BI Reports Creating and Formatting Visualizations Applying Advanced Analytics Designing Dashboards Managing Workspaces and Content Managing the On-Premises Data Gateway Deploying Paginated Reports Creating Power BI Apps and Content Distribution Administering Power BI for an Organization Building Enterprise BI with Power BI Premium

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Book SynopsisBecome well-versed with the tools available in the Siemens TIA toolbox and write PLC and HMI code effectivelyKey Features Find out how to use TIA Portal effectively to boost your productivity Learn about a structured design pattern and understand why it is so powerful when implemented correctly Discover efficient project management and design practices Book DescriptionWith automation requirements on the rise, Siemens' TIA Portal development environment is almost a necessity for any automation engineer. The Totally Integrated Automation (TIA) environment helps seamlessly integrate all things automation, from PLC hardware and software design to HMI development. This book helps you understand the tools available in the TIA toolbox and shows you how to write code effectively.The book begins by introducing you to the TIA environment, covering the layout and tools available. Once you've got to grips with the environment, you'll find out how to create hardware to write programs against, including adding IO modules and assigning memory for input and output. Next, you'll develop logic in all of the languages that TIA Portal offers, such as Ladder, Function Block Diagram, and Structured Text (SCL) (note that Statement List is not covered as a deprecated language), as well as the newest language, Cause and Effect (CEM). You'll also discover how to store standard code in libraries, creating a version control system that is easy to manage and aids standard design. Finally, following the PLC design chapters, you'll learn how to develop HMI applications in TIA Portal's latest unified hardware.By the end of the book, you'll be well equipped to use all of the features that TIA Portal V17 offers.What you will learn Set up a Siemens Environment with TIA Portal Find out how to structure a project Carry out the simulation of a project, enhancing this further with structure Develop HMI screens that interact with PLC data Make the best use of all available languages Leverage TIA Portal's tools to manage the deployment and modification of projects Who this book is forThis TIA Portal book is for anybody looking to learn PLC/HMI development using the latest Siemens development platform. Industrial software engineers, PLC engineers, automation engineers, and electricians will be able to advance their skill set with this guide. A basic understanding of PLC principles such as PLC data types and basic objects such as function blocks and functions is necessary to get started.Table of ContentsTable of Contents Starting a New Project with TIA Portal Creating Objects and How They Fit Together Structures and User-Defined Types PLC Programming and Languages Working with Languages in TIA Portal Creating Standard Control Objects Simulating Signals in the PLC Options to Consider When Creating PLC Blocks TIA Portal HMI Development Environment Placing Objects, Settings Properties, and Events Structures and HMI Faceplates Managing Navigation and Alarms Downloading to the PLC Downloading to the HMI Programming Tips and Additional Support

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Book SynopsisLearn to identify problems when developing complex systems and design effective solutions using a model-based system engineering approach Key Features Implement model-based systems engineering, including visualization, verification, and validation processes Explore the complexity of a system and learn how it can be commissioned as an effective resource Filled with comprehensive explanations, practical examples and self assessment tests Book DescriptionSystems engineering helps in developing and describing complex systems. Written by an internationally-recognized systems engineering expert, this updated edition provides insight into elements to consider when designing a complex system that is robust and successful. The latest edition covers the new approaches of Model-Based Systems Engineering (MBSE) and its deployment techniques using the Trinity approach. You will learn about the system engineering life cycle and processes to implement. Effective systems can be built only when the system is designed with close attention to detail, meaning each aspect of the system is recognized and understood before the system is built. The book explains in great detail, different system models and visualization techniques, with a focus on SysML, to help you visualize a system in the design phase. You will also learn various verification and validation techniques to ensure your system design is ready to be implemented. The book ends with key management processes, systems engineering best practices, and guidelines, with a new section on effective approaches based on the author’s impressive 30 years of experience in the field. By the end of this systems engineering book, you'll be able to apply modern model-based systems engineering techniques to your own systems and projects.What you will learn Study the three evils of systems engineering: complexity, ambiguous communication, lack of understanding Learn how to deploy MBSE using the Trinity approach Receive invaluable information about the philosophy of modeling from a seasoned professional Understand the MBSE life cycle and how design, verification, and validation fit into it Explore processes and concepts such as activities, stakeholders, and resources Discover how needs fit into the life cycle and how to comply with relevant processes Gain a deeper understanding of how to model effectively and efficiently Who this book is forThis book is for aspiring systems engineers, engineering managers, or anyone looking to apply systems engineering practices to their systems and projects. While a well-structured, model-based approach to systems engineering is an essential skill for engineers of all disciplines, many companies are finding that new graduates have little understanding of MBSE. This book helps you acquire this skill with the help of a simple and practical approach to developing successful systems. No prior knowledge of systems engineering or modeling is required to get started with this book.Table of ContentsTable of Contents Introduction to Systems Engineering Model-Based Systems Engineering Systems and Interfaces Life Cycles System Engineering Processes Needs and Requirements Modeling the Design Modeling Verification and Validation Methodologies System Engineering Management Deploying MBSE The Art of Modeling Best Practices

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Book SynopsisUnravel the power of Java design patterns by learning where to apply them effectively to solve specific software design and development problemsKey Features Decouple logic across objects with dependency injection by creating various vehicles with features Finalize vehicle construction by chaining handlers using the Chain of Responsibility Pattern Plan and execute an advanced vehicle sensor initiation with the Scheduler Pattern Book DescriptionDesign patterns are proven solutions to standard problems in software design and development, allowing you to create reusable, flexible, and maintainable code. This book enables you to upskill by understanding popular patterns to evolve into a proficient software developer.You’ll start by exploring the Java platform to understand and implement design patterns. Then, using various examples, you’ll create different types of vehicles or their parts to enable clarity in design pattern thinking, along with developing new vehicle instances using dedicated design patterns to make the process consistent. As you progress, you’ll find out how to extend vehicle functionalities and keep the code base structure and behavior clean and shiny. Concurrency plays an important role in application design, and you'll learn how to employ a such design patterns with the visualization of thread interaction. The concluding chapters will help you identify and understand anti-pattern utilization in the early stages of development to address refactoring smoothly. The book covers the use of Java 17+ features such as pattern matching, switch cases, and instances of enhancements to enable productivity.By the end of this book, you’ll have gained practical knowledge of design patterns in Java and be able to apply them to address common design problems.What you will learn Understand the most common problems that can be solved using Java design patterns Uncover Java building elements, their usages, and concurrency possibilities Optimize a vehicle memory footprint with the Flyweight Pattern Explore one-to-many relations between instances with the observer pattern Discover how to route vehicle messages by using the visitor pattern Utilize and control vehicle resources with the thread-pool pattern Understand the penalties caused by anti-patterns in software design Who this book is forIf you are an intermediate-level Java developer or software architect looking to learn the practical implementation of software design patterns in Java, then this book is for you. No prior knowledge of design patterns is required, but an understanding of Java programming is necessary.Table of ContentsTable of Contents Getting Into Software Design Patterns Discovering the Java Platform for Design Patterns Working with Creational Design Patterns Applying Structural Design Patterns Behavioral Design Patterns Concurrency Design Patterns Understanding Common Anti-Patterns

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Book SynopsisProven techniques, best practices, and tips for writing effective user stories, leveraging user story mapping, and expert interviews to deliver high value to users Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn how to write and implement effective user stories to improve product development Discover techniques to gather requirements, prioritize, and refine user stories Handle stakeholder expectations, communicate user stories, and incorporate user feedback Book DescriptionThe Art of Crafting User Stories is a must-read for product managers, UX professionals, and product developers dedicated to creating meaningful digital experiences. This book provides a comprehensive, step-by-step approach to empower you to master the techniques for creating user stories that drive effective product development. This book takes you on a journey from identifying and capturing user needs, goals, and perspectives through user stories, to crafting impactful stories for design choices and organizing tasks efficiently. You’ll learn how to define the problem area, recognize user personas, and develop user scenarios with the aid of real-world examples, practical tips, and exercises designed to help you develop your skills in crafting user-centered experiences. Moreover, you’ll gain a thorough understanding of user stories, their role in Agile development, and how to use them to plan and manage products effectively. By the end of this book, you’ll be able to improve the quality and efficiency of your own products by applying the hands-on practical skills to create compelling digital experiences that resonate with users and stay relevant in the market.What you will learn Leverage user personas in product development for prioritizing features and guiding design decisions Communicate with stakeholders to gather accurate information for writing user stories Avoid common mistakes by implementing best practices for user story development Estimate the time and resources required for each user story and incorporate estimates into the product plan Apply product frameworks and techniques for user story prioritization and requirement elicitation Benefit from the experiences, insights, and practices of experts in the field of user story mapping Who this book is forIf you're interested in learning about user stories, as a product management method in Agile development, this book is for you. It's suitable for anyone involved in software development, including product managers, product owners, Agile coaches, designers, product analysts, and developers. Although prior experience with Agile development is not expected, a basic understanding of software development will be beneficial.Table of ContentsTable of Contents Introduction to User Stories Understanding the User Perspective Writing Effective User Stories Prioritizing and Estimating User Stories Working with Stakeholders User Story Refinement and Continuous Improvement User Stories in Practice Expert Interviews Conclusion

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Book SynopsisManaging Complexity is the first book that clearly defines the concept of Complexity, explains how Complexity can be measured and tuned, and describes the seven key features of Complex Systems: 1. Connectivity 2. Autonomy 3. Emergency 4. Nonequilibrium 5. Non-linearity 6. Self-organisation 7. Co-evolution The thesis of the book is that complexity of the environment in which we work and live offers new opportunities and that the best strategy for surviving and prospering under conditions of complexity is to develop adaptability to perpetually changing conditions. An effective method for designing adaptability into business processes using multi-agent technology is presented and illustrated by several extensive examples, including adaptive, real-time scheduling of taxis, see-going tankers, road transport, supply chains, railway trains, production processes and swarms of small space satellites. Additional case studies include adaptive servicing of the International Space Station; adaptive processing of design changes of large structures such as wings of the largest airliner in the world; dynamic data mining, knowledge discovery and distributed semantic processing.Finally, the book provides a foretaste of the next generation of complex issues, notably, The Internet of Things, Smart Cities, Digital Enterprises and Smart Logistics.Table of ContentsContents PART 1 Fundamentals 1 What is complexity? Introduction; Defining Complexity; Complex Versus Complicated; Complexity and Uncertainty; The Seven Criteria of Complexity; Negative and Positive Aspects of Complexity; Evolution Favours Complexity; Co-Evolution of Technology, Economy and Society; Complexity and Information Society; Complexity and Philosophy 2 A method for managing complexity Introduction; Coping with External Complexity; Tuning Internal Complexity; Modelling Complexity; Adaptability; Designing Adaptive Business Processes 3 Multi-agent technology Introduction; Fundamentals; MAS for Adaptive Resource Allocation; Knowledge Base; Virtual World; Decision-Making; Agent Negotiations; Architecture; Multi-Agent Platform; Main Features of Our MAS; Multi-Agent Software as a Complex Adaptive System; Comparing Multi-Agent Software with Conventional Programs 4 Emergent intelligence Fundamentals; Evidence of Intelligent Behaviour; Thermodynamics of the Virtual World PART 2 Commercial applications 5 Adaptive scheduling of seagoing tankers The Problem; The Solution; Results 6 Adaptive scheduling of taxis The Problem; The Solution; Results 7 Adaptive scheduling of car rentals The Problem; The Solution; Results 8 Adaptive scheduling of road transport The Problem; The Solution; Results 9 Adaptive data mining The Problem; The Solution; Application Examples; Results 10 Adaptive semantic processing The Problem; The Solution; Application Example: Assessing Relevance of Abstracts; Results 11 Adaptive detection of clashes caused by design changes The Problem; The Solution; Results 133 12 Adaptive scheduling of supply networks The Problem; The Solution; Results 13 Adaptive scheduling of services for the international space station The Problem; The Solution; Results 14 Adaptive scheduling of a fleet of satellites The Problem; The Solution; Results 15 Adaptive scheduling of high-speed railways The Problem; The Solution; Results 16 Adaptive scheduling of manufacturing The Problem; The Solution; Results 17 Adaptive management of service teams The Problem; The Solution; Results 18 Adaptive project management The Problem; The Solution; Results PART 3 A roadmap into the future 19 A vision and ideas A Shift from Personal to Business Applications; The IoT; Digital Enterprise; Smart City; Smart Logistics

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Book SynopsisWritten with graduate and advanced undergraduate students in mind, this textbook introduces computational logic from the foundations of first-order logic to state-of-the-art decision procedures for arithmetic, data structures, and combination theories. The textbook also presents a logical approach to engineering correct software. Verification exercises are given to develop the reader's facility in specifying and verifying software using logic. The treatment of verification concludes with an introduction to the static analysis of software, an important component of modern verification systems. The final chapter outlines courses of further study.Trade Review"...this book, which addresses the verification of sequential programs, exhibits all the features of a field that has finally fully matured. The material is substantial; it is organized very thoughtfully; the writing is concise but simple, easy to follow, and illustrated with ample examples... Overall, this book is very well written, thoughtfully constructed, and substantive yet accessible. It is bound to become a standard textbook in program verification." (Fatma Mill, ACM Computing Reviews, August 2008)Table of ContentsFoundations.- Propositional Logic.- First-Order Logic.- First-Order Theories.- Induction.- Program Correctness: Mechanics.- Program Correctness: Strategies.- Algorithmic Reasoning.- Quantified Linear Arithmetic.- Quantifier-Free Linear Arithmetic.- Quantifier-Free Equality and Data Structures.- Combining Decision Procedures.- Arrays.- Invariant Generation.- Further Reading.

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Book SynopsisThis book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.Table of ContentsAnalysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM’s Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson’s Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully Convolutional Networks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues.

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