Software
Data Science and Analytics for SMEs
Master the tricks and techniques of business analytics consulting, specifically applicable to small-to-medium businesses (SMEs). Written to help you hone your business analytics skills, this book applies data science techniques to help solve problems and improve upon many aspects of a business' operations.SMEs are looking for ways to use data science and analytics, and this need is becoming increasingly pressing with the ongoing digital revolution. The topics covered in the books will help to provide the knowledge leverage needed for implementing data science in small business. The demand of small business for data analytics are in conjunction with the growing number of freelance data science consulting opportunities; hence this book will provide insight on how to navigate this new terrain.This book uses a do-it-yourself approach to analytics and introduces tools that are easily available online and are non-programming based. Data science will allow SMEs to understand their customer loyalty, market segmentation, sales and revenue increase etc. more clearly. Data Science and Analytics for SMEs is particularly focused on small businesses and explores the analytics and data that can help them succeed further in their business.WHAT YOU'LL LEARN* Create and measure the success of their analytics project* Start your business analytics consulting career* Use solutions taught in the book in practical uses cases and problems WHO THIS BOOK IS FORBusiness analytics enthusiasts who are not particularly programming inclined, small business owners and data science consultants, data science and business students, and SME (small-to-medium enterprise) analystsAfolabi Ibukun is a Data Scientist and is currently a Senior Lecturer in the Department of Computer and Information Sciences, Covenant University. She holds a B.Sc in Engineering Physics, an M.Sc and Ph.D in Computer Science. Afolabi Ibukun has over 15 years working experience in Computer Science research, teaching and mentoring. Her specific areas of interest are Data & Text Mining, Programming and Business Analytics. She has supervised several undergraduate and postgraduate students and published several articles in international journals and conferences. Afolabi Ibukun is also a Data Science Nigeria Mentor and currently runs a Business Analytics Consulting and Training firm named I&F Networks SolutionsINTRODUCTIONWe introduce data science generally and narrow it down to data science for business which is also referred to as business analytics. We then give a detailed explanation of the process involved in business analytics in form of the business analytics journey. In this journey, we explain what it takes from start to finish to carry out an analytics project in the business world, focusing on small business consulting, even though the process is generic to all types of business, small or large. We also give a description of what small business refers to in this book and the peculiarities of navigating an analytics project in such a terrain. To conclude the chapter, we talk about the types of analytics problems that is common to small business and the tools available to solve these problems given the budget situation of small businesses when it comes to analytics project.· DATA SCIENCE· DATA SCIENCE FOR BUSINESS· BUSINESS ANALYTICS JOURNEY· SMALL AND MEDIUM BUSINESS (SME)· BUSINESS ANALYTICS IN SMALL BUSINESS· TYPES OF ANALYTICS PROBLEMS IN SME· ANALYTICS TOOLS FOR SMES· ROAD MAPS TO THIS BOOK· PROBLEMS· REFERENCESCHAPTER 1: DATA FOR ANALYSIS IN SMALL BUSINESSIn this chapter, we would look at the various sources of data generally and in small business. This chapter is important because the major challenge of consulting for small business is the lack of data or quality data for analysis. This chapter will therefore detail the sources of data for analysis explaining first the type or form that data exists and some general ideas of how to collect such data. It gives an overview on data quality and integrity issues and touches on data literacy. The chapter also includes the typical data preparation procedures for the common types of techniques used in small business analytics and by extension used in this book. To conclude the chapter, we look at data visualization, particularly towards preparing data for various analytics task as explained in section 1.3.· SOURCE OF DATA· DATA QUALITY & INTEGRITY· DATA GOVERNANCE· DATA PREPARATION· DATA VISUALIZATION· PROBLEMS· REFERENCESCHAPTER 2: BUSINESS ANALYTICS CONSULTINGIn this chapter, we will look at business analytics consulting, particularly what the concept implies and how to build such a career path. We will explain the types of business analytics consulting that exist and then narrow it down to how to navigate the world of business analytics consulting for small business. In this chapter, we will look at how to manage a typical analytics project and measure the success of analytics projects. In conclusion, we will discuss issues revolving around how to bill analytics project particularly as a consultant.· BUSINESS ANALYTICS CONSULTING· MANAGING ANALYTICS PROJECT· SUCCESS METRICS IN ANALYTICS PROJECT· BILLING ANALYTICS PROJECT· PROBLEMS· REFERENCESCHAPTER 3: BUSINESS ANALYTICS CONSULTING PHASESIn this chapter we will look at the stages involved business analytics consulting, particularly when the analytics service is offered as a product from either within or outside the business. We will look at the proposal and initial analysis stage which gives direction to the analytics project. Then we look at the details involved in the pre-engagement, engagement and post engagement phase. It is important to know that the stages are presented in a typical or generic way but when implemented, there might be reason to modify or customize them for the application scenario.· PROPOSAL & INITIAL ANALYSIS· PRE- ENGAGEMENT PHASE· ENGAGEMENT PHASE· POST ENGAGEMENT PHASE· PROBLEMS· REFERENCESCHAPTER 4: DESCRIPTIVE ANALYTICS TOOLSThis chapter is focused on the mostly common descriptive analytics tools used in business generally and specifically in small businesses. The chapter will help to use descriptive analytics tools to understand your business and make recommendations that can improve your business profits. For small business, descriptive analytics helps SMEs to make sense of available data in order to monitor business indicators at a glance, helps SME owners to observe sales trends and patterns on an overall basis, as well as deep-dive into product categories and customer groups. It also helps SME’s to plan product strategy, pricing policies that will maximize their projected revenues and derive a lot of valuable insights for getting more customers.· INTRODUCTION· BAR CHART· HISTOGRAM· LINE GRAPHS· SCATTER PLOTS· PACKED BUBBLES CHARTS· HEAT MAPS· GEOGRAPHICAL MAPS· A PRACTICAL BUSINESS PROBLEM I· PROBLEMS· REFERENCESCHAPTER 5: PREDICTION TECHNIQUESIn this chapter, we will explore the popular techniques used for prediction, particularly in retails business. The approach used in explaining these techniques us to use them in solving a business problem. The second business problem to be addressed is the sales prediction problem which is common in retail business. The chapter first explain the fundamental concept of prediction techniques, next we look at how such techniques are evaluated. After this, we describe the business problem we intend solving. We then pick each of the selected techniques one by one and explain the algorithms involved and how they can be used to solve the problem described. The prediction techniques used and compared are the Multiple linear regression, the Regression Trees and the Neural Network. To conclude the chapter, we compare the results of the three algorithms and conclude on the problem in question. In this chapter therefore, the analytics products being offered is to solve sales prediction problem for small retail business.· INTRODUCTION· PRACTICAL BUSINESS PROBLEM II (SALES PREDICTION)· MULTIPLE LINEAR REGRESSION· REGRESSIN TREES· NEURAL NETWORK (PREDICTION)· CONCLUSION ON SALES PREDICTION· PROBLEMS· REFERENCESCHAPTER 6: CLASSIFICATION TECHNIQUESIn this chapter, even though there are several classification techniques, we will explore the popular ones used for classification in the business domain. In doing this, we will use the third business problem centered on customer loyalty comparing neural network, classification tree and random forest algorithms. In solving this problem, we are particular about how to get and retain more customers for our small business. We will also introduce some other classification based techniques such as K-nearest neighbour logistic regression and persuasion modelling. We will use persuasion modelling for the fourth practical business problem. In using these techniques to solve the problem we explain the fundamental concepts in the chosen algorithms and use them to demonstrate how this problems solving process can be adopted in real business scenarios.· CLASSIFICATION MODELS & EVALUATION· PRACTICAL BUSINESS PROBLEM III (CUSTOMER LOYALTY)· NEURAL NETWORK· CLASSIFICATION TREE· RANDOM FOREST & BOOSTED TREES· K NEAREST NEIGHBOUR· LOGISTIC REGRESSION· PROBLEMS· REFERENCESCHAPTER 7: ADVANCED DESCRIPTIVE ANALYTICSThis chapter is focused mainly on advanced descriptive analytics techniques. In this chapter, we will first explain the concept of clustering which is a type of unsupervised learning approach. We will then pick one clustering technique which is the K means clustering. Using the fourth practical business problem, we will explain how we can use the K means clustering technique to solve a real business problem. Next will explain the association rule example and finally Network analysis. We conclude with the fifth business problem which is focused on using network analytics for employee efficiency.· CLUSTERING· K MEANS· PRACTICAL BUSINESS PROBLEM IV (Customer Segmentation)· ASSOCIATION ANALYSIS· NETWORK ANALYSIS· PRACTICAL BUSINESS PROBLEM V (Staff Efficiency)· PROBLEMS· REFERENCESCHAPTER 8: CASE STUDY PART IThis chapter is the beginning part of major consulting case study for this book. We will explain what transpired during a typical business analytics consulting and help to create a road map or an example of how to navigate a business analytics consulting project. We start with a description of the SME Ecommerce environment generally, since this is the business environment of our selected case study, we then talk about the sources of data for analytics peculiar this environment. Next we describe the business to be used as case study briefly, followed by the analytics road map peculiar to consulting for this business. This chapter ends with the results of the initial analysis and pre engagement phase which forms the bases for the detailed analytics and implementation phase in chapter 10.· SME ECORMERCE· INTRODUCTION TO SME CASE STUDY· INITIAL ANALYSIS· ANALYTICS APPROACH· PRE –ENGAGEMENT· PROBLEMS· REFERENCESCHAPTER 9: CASE STUDY PART IIIn this chapter, we will conclude the case study used for illustration of a typical business analytics consulting for an SME by presenting the details of the engagement phase for the case study in question. The post engagement phase is left out as the implementation of the recommendations is determined by the systems and procedures of the business. It is important to note that the consulting steps can be customized for any small business based on the intended problem. The whole steps described in chapter 9 and 10 have been made simple for understanding, though in real life business application there might be need to iterate the process until satisfactory results have been gotten. This is because you constantly need to incorporate feedback from the stakeholders and domain experts.· GOAL 1: INCREASE WEBSITE TRAFFIC· GOAL 2: INCREASE WEBSITE SALES REVENUE· PROBLEMS· REFERENCES
Practical Haskell
Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This updated edition includes more modern treatment of Haskell's web framework and APIs.This book contains excellent coverage of the Haskell ecosystem and supporting tools, including Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, WAI and Elm to develop the back end and front end of web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries.You’ll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community.This makes Haskell the best tool for both learning and applying functional programming, and Practical Haskell, Third Edition takes advantage of this to show off the language and what it can do. Free source code available on the Apress GitHub page for this book.WHAT YOU WILL LEARN* Get started programming with Haskell* Examine the different parts of the language* Gain an overview of the most important libraries and tools in the Haskell ecosystem* Apply functional patterns in real-world scenarios* Understand monads and monad transformers* Proficiently use laziness and resource managementWHO THIS BOOK IS FORExperienced programmers who may be new to the Haskell programming language. However, some prior exposure to Haskell is recommended.ALEJANDRO SERRANO MENA has more than a decade of experience as a developer, trainer, and researcher in functional programming, with an emphasis on Haskell and related languages. He holds a Ph.D. from Utrecht University on the topic of error message customization in compilers. He's an active member of the community, maintaining a few open-source projects, writing books about Haskell, and collaborating on podcasts and conferences.PART I: FIRST STEPS1. Going Functional2. Declaring the Data Model3. Increasing Code Reuse4. Using Containers and Type Classes5. Laziness and Infinite StructuresPART II: DATA MINING6. Knowing Your Clients Using Monads7. More Monads: Now for Recommendations8. Working in Several CoresPART III: RESOURCE HANDLING9. Dealing with Files: IO and Conduit10. Building and Parsing Text11. Safe Database Access12. Web ApplicationsPART IV: DOMAIN SPECIFIC LANGUAGES13. Strong Types14. Interpreting Offers with AttributesPART V: ENGINEERING THE STORE15. Documenting, Testing, and Verifying16. Architecting Your Application17. Looking Further
Produktion und Logistik in der digitalen Transformation
Dieses Buch beschreibt zahlreiche Erfahrungen, die in Produktionsunternehmen und in der Lehre mit der Umsetzung der Digitalisierung gesammelt wurden. Es werden unterschiedliche Entwicklungspfade aufgezeigt, die nicht alle beim Industrie-4.0-Musterunternehmen enden. Einbezogen werden dabei beispielsweise auch die neuen Anforderungen an Mitarbeiter und das Zusammenwirken mit anderen Unternehmen. Reifegradmodelle, Kennzahlensysteme sowie Praxisbeispiele bieten mögliche Wege, um die Digitalisierung in Unternehmen zu analysieren und neue Strategien umzusetzen. Zudem werden Kompromisslösungen und Maßnahmen beschrieben, die Wirtschaftlichkeit, Wettbewerbsfähigkeit und Weiterentwicklung bieten.
ESP32 steuert Roboterfahrzeug
• Open-Source-Code mit Arduino IDE und PlatformIO• Autonomes Fahren: GPS, Accelerometer, Gyroskop• PS3-ControllerMikrocontroller wie der Arduino und Einplatinenrechner wie der Raspberry Pi haben sich zu beliebten Komponenten entwickelt. Dritter im Bunde ist der ESP32 der Firma Espressif. Mikrocontroller dieser Baureihe zeichnen sich durch eine Vielzahl implementierter Funktionen aus, die bei einem Arduino konventioneller Prägung mit einem Atmel-AVR-Mikrocontroller erst mit weiterer Hardware möglich sind. Prominentes Beispiel sind hier die WiFi- und Bluetooth- Funktionalitäten. Gegenüber einem Raspberry Pi zeichnen sie sich durch einen deutlich geringeren Preis aus.Allgemeine Informationen für die Realisierung eines Roboterauto- Projekts mit dem ESP32 sind leicht zu finden. Dabei handelt es sich aber oft nur um Ausführungen zu einem Teilaspekt, ohne inhaltliche oder funktionale Abstimmung. So ist nicht nur die Beschaffung der benötigten Informationen mühselig und zeitaufwändig, sie kann auch außerordentlich fehlerträchtig sein.Ansatzpunkt dieses Buches ist, diese Lücke zu schließen. Es geht auf verschiedene Möglichkeiten eines Chassis ein, vermittelt nötige Kenntnisse und führt schrittweise von einer einfachen Motorsteuerung zu einem komplexen sensor- und sprachgesteuerten Roboterauto. Hacks rund um GPS und eine Playstation 3 runden die Sache ab.InhaltBei der Reihenfolge der Kapitel wurde versucht – beginnend bei der Darstellung von grundlegenden Informationen – über die Lösung einfacher Aufgaben zu etwas anspruchsvolleren Techniken zu führen.> Der Mikrocontroller ESP32> Die Software erstellen> Die Stromversorgung> Rund um die Hardware> Das Chassis> Der Gleichstrommotor> Kabellose Steuerung über WiFi> Mit Sensoren Hindernisse erkennen> Eine eigene Roboterauto-App> Servo und Lichtsensor> GPS> Accelerometer / Gyroskop> PS3-Controller> Roboterauto-AppUdo Brandes war lange Jahre als Systementwickler beim Rechenzentrum der Finanzverwaltung des Landes Nordrhein-Westfalen tätig. Verschiedene Aufgaben bei der Stadt Wuppertal markierten seinen weiteren beruflichen Weg. Seit einigen Jahren arbeitet er als selbstständiger Programmierer, IT-Entwickler und Autor. Ansätze und Möglichkeiten der Mikrocontrollerprogrammierung sind Zukunftsthemen, die den Autor faszinieren und mit deren Chancen und Risiken er sich seit langem intensiv befasst.
Drawing Product Ideas
EXPLORE STRAIGHTFORWARD DRAWING SKILLS TO HELP YOU COMMUNICATE PRODUCT IDEAS EXPONENTIALLY FASTER THAN YOU COULD WITH TEXTIn Drawing Product Ideas: Fast and Easy UX Drawing for Anyone, RSA Fellow and Google Data Visualization Lead, Kent Eisenhuth delivers a new and exciting guide to effectively communicating product ideas by drawing just two simple things: boxes and lines! In the book, you'll learn why drawing is important and how it supports the design thinking process. You'll also discover how to build your drawing toolkit by exploring your own personal drawing style.The author also includes:* Strategies for how to use your drawing to support your solutions to real-world problems* Tips and tricks for applying your new drawing skills in a workshop setting, in real-time* An illuminating foreword by the celebrated Manuel Lima, a Fellow of the Royal Society of ArtsAn essential volume for engineers, researchers, and product managers, Drawing Product Ideas is also an indispensable blueprint for anyone seeking to improve their public, ad-hoc drawing skills.Foreword ixPreface xiIntroduction xvCHAPTER 1 WHY DRAW? 1Explore an Idea 2Gain a Shared Understanding 5Improve Collaboration 7Anyone Can Draw 7Right Time and Place 10CHAPTER 2 REFRAMING OUR THINKING 15Breaking It Down 17Introducing the System 19Common Drawings 23CHAPTER 3 LINES AND POINTS 33Telling Stories with Lines 34Making Meaning with Points 42Tools and Materials 45CHAPTER 4 BUILDING FROM RECTANGLES 47Creating Diagrams 48Content Elements 55Navigation Elements 58Forms 65CHAPTER 5 BUILDING FROM CIRCLES, TRIANGLES, AND MORE 81Circular Elements 81Triangular Elements 89Advanced Icons and Symbols 92Representing Interactions 98CHAPTER 6 ILLUSTRATING LIGHT, MOTION, AND OTHER CONCEPTS 103Shading Techniques 103Using Accent Marks 105Looking at Lighting 105Using Elevation 110Using Texture 116Capturing Motion 119Conveying Luminance 120Communicating Sound 121CHAPTER 7 THE SYSTEM 127Putting It Together 128Creating Something New 134CHAPTER 8 USING FLOWS TO TELL STORIES 139Starting with the Syntax 139Showing Interactions 142Just Enough Information 144Depicting Transitions 145Labels and Annotations 147Being Conscious of Composition 150CHAPTER 9 TELLING ENGAGING STORIES 157Real-WorldConstraints 160Invoking Emotion 166Adapting the Visual Language 170Wayfinding and Landmarks 174Choreography and Timing 178Packaging Your Drawings 180CHAPTER 10 MOVING FORWARD 183Works Cited 185Index 187
C# für Kids
Einfacher Einstieg in die C#-Programmierung mit vielen Schritt-für-Schritt-Anleitungen Zahlreiche kleine Spiele programmieren wie ein Quiz, ein Würfel-Glücksspiel und eine Spinnen-Animation Mit Fragen und Aufgaben am Ende jedes Kapitels sowie Code zum Download Hans-Georg Schumann zeigt in einfachen Schritten, wie du in die Programmiersprache C# einsteigst und schnell erste Programme schreibst. Anhand selbst programmierter Spiele erfährst du, wie du Buttons und Labels anlegst, mit Variablen umgehst und Klassen festlegst. Die frei verfügbare Community-Version der Entwicklungsumgebung Visual Studio hilft dir, wie ein Profi zu programmieren bis hin zur Objektorientierten Programmierung. Du lernst, Schaltflächen zu verwenden, ein Quiz zu entwickeln und sogar eine Spinne über den Bildschirm zu jagen. So wird dir das Programmieren richtig Spaß machen! Zwischendurch kannst du immer wieder Fragen und Aufgaben beantworten, um das Gelernte zu festigen. Die richtigen Antworten und Lösungen sowie alle Codebeispiele findest du im Internet zum Download. Aus dem Inhalt: Mit C# ein erstes kleines Programm schreiben Was eine Entwicklungsumgebung ist und wie du z.B. mit Visual Studio programmierst Variablen und Kontrollstrukturen im ersten Projekt kennenlernen Kleine Spiele entwickeln: Zensuren umrechnen und Zahlen raten Grundlagen der Objektorientierten Programmierung Eine Lottoziehung und ein Rätselspiel programmieren Den Wortschatz von C# selber erweitern Mit Kapselung und Vererbung umgehen lernen Hilfreiche Buttons und andere optische Komponenten verwenden Die grafischen Möglichkeiten von C# nutzen Gleichzeitig spielen und lernen: ein größeres Quizprojekt programmieren Viele Anregungen für eigene Spiele: vom Würfel-Glücksspiel bis zur Spinnen-Animation Ausführlicher Anhang zur Installation und zur Fehlersuche Hans-Georg Schumann war Informatik- und Mathematiklehrer an einer Gesamtschule. Er hat bereits viele erfolgreiche Bücher in der mitp-Buchreihe »... für Kids« geschrieben.
Drawing Product Ideas
EXPLORE STRAIGHTFORWARD DRAWING SKILLS TO HELP YOU COMMUNICATE PRODUCT IDEAS EXPONENTIALLY FASTER THAN YOU COULD WITH TEXTIn Drawing Product Ideas: Fast and Easy UX Drawing for Anyone, RSA Fellow and Google Data Visualization Lead, Kent Eisenhuth delivers a new and exciting guide to effectively communicating product ideas by drawing just two simple things: boxes and lines! In the book, you'll learn why drawing is important and how it supports the design thinking process. You'll also discover how to build your drawing toolkit by exploring your own personal drawing style.The author also includes:* Strategies for how to use your drawing to support your solutions to real-world problems* Tips and tricks for applying your new drawing skills in a workshop setting, in real-time* An illuminating foreword by the celebrated Manuel Lima, a Fellow of the Royal Society of ArtsAn essential volume for engineers, researchers, and product managers, Drawing Product Ideas is also an indispensable blueprint for anyone seeking to improve their public, ad-hoc drawing skills.Foreword ixPreface xiIntroduction xvCHAPTER 1 WHY DRAW? 1Explore an Idea 2Gain a Shared Understanding 5Improve Collaboration 7Anyone Can Draw 7Right Time and Place 10CHAPTER 2 REFRAMING OUR THINKING 15Breaking It Down 17Introducing the System 19Common Drawings 23CHAPTER 3 LINES AND POINTS 33Telling Stories with Lines 34Making Meaning with Points 42Tools and Materials 45CHAPTER 4 BUILDING FROM RECTANGLES 47Creating Diagrams 48Content Elements 55Navigation Elements 58Forms 65CHAPTER 5 BUILDING FROM CIRCLES, TRIANGLES, AND MORE 81Circular Elements 81Triangular Elements 89Advanced Icons and Symbols 92Representing Interactions 98CHAPTER 6 ILLUSTRATING LIGHT, MOTION, AND OTHER CONCEPTS 103Shading Techniques 103Using Accent Marks 105Looking at Lighting 105Using Elevation 110Using Texture 116Capturing Motion 119Conveying Luminance 120Communicating Sound 121CHAPTER 7 THE SYSTEM 127Putting It Together 128Creating Something New 134CHAPTER 8 USING FLOWS TO TELL STORIES 139Starting with the Syntax 139Showing Interactions 142Just Enough Information 144Depicting Transitions 145Labels and Annotations 147Being Conscious of Composition 150CHAPTER 9 TELLING ENGAGING STORIES 157Real-WorldConstraints 160Invoking Emotion 166Adapting the Visual Language 170Wayfinding and Landmarks 174Choreography and Timing 178Packaging Your Drawings 180CHAPTER 10 MOVING FORWARD 183Works Cited 185Index 187
A Practical Guide to Verilog-A
Discover how Verilog-A is particularly designed to describe behavior and connectivity of circuits and system components for analog SPICE-class simulators, or for continuous time (SPICE-based) kernels in Verilog-AMS simulators. With continuous updates since it’s release 30 years ago, this practical guide provides a comprehensive foundation and understanding to the modeling language in its most recent standard formulation.With the introduction of language extensions to support compact device modeling, the Verilog-A has become today de facto standard language in the electronics industry for coding compact models of active and passive semiconductor devices. You'll gain an in depth look at how analog circuit simulators work, solving system equations, modeling of components from other physical domains, and modeling the same physical circuits and systems at various levels of detail and at different levels of abstraction.All industry standard compact models released by Si2 Compact Model Coalition (CMC) as well as compact models of emerging nano-electronics devices released by New Era Electronic Devices and Systems (NEEDS) initiative are coded in Verilog-A. This book prepares you for the current trends in the neuromorphic computing, hardware customization for artificial intelligence applications as well as circuit design for internet of things (IOT) will only increase the need for analog simulation modeling and make Verilog-A even more important as a multi-domain component-oriented modeling language.Let A Practical Guide to Verilog-A be the initial step in learning the extended mixed-signal Verilog-AMS hardware description language.WHAT YOU'LL LEARN* Review the hardware description and modeling language Verilog-A in its most recent standard formulation.* Code new compact models of active and passive semiconductor devices as well as new models for emerging circuit components from different physical disciplines.* Extend the application of SPICE-like circuit simulators to non-electronics field (neuromorphic, thermal, mechanical, etc systems).* Apply the initial steps towards the extended mixed-signal Verilog-AMS hardware description language.WHO THIS BOOK IS FORElectronic circuit designers and SPICE simulation model developers in academia and industry. Developers of electronic design automation (EDA) tools. Engineers, scientists and students of various disciplines using SPICE-like simulators for research and development.Dr. Slobodan Mijalkovic is a Senior R&D Engineer at Silvaco, Inc., specialized in semiconductor device and integrated circuit modeling for electronic design automation (EDA) software tools. Before joining Silvaco Europe, he was a Principal Researcher in HiTeC Laboratory at Delft University of Technology in the Netherlands, where he led a team for standardization of the Mextram bipolar transistor model with Compact Model Coalition (CMC). Formerly, he was an Assistant and an Associate Professor with the Department of Microelectronics at Faculty of Electronics Engineering, University of Nis in Serbia (Yugoslavia).Dr. Mijalkovic has authored 50 cited publications including the monograph “Multigrid Methods for Process Simulation” published by Springer. In the period 2002-2006 he has set and chaired four editions of “Compact Modeling for RF Application (CMRF)” workshops that strongly contributed to the acceptance of Verilog-A as a standard compact modeling language. He is a senior Member of IEEE and currently a member of the IEEE EDS Compact Modeling Committee.Chapter 1: IntroductionChapter Goal: Verilog-A delineation. Comparison to other HDLs and modeling languages. Book organization.Chapter 2: The Lexical Basis of Verilog-AChapter Goal: Introducing Verilog-A lexical tokens, token separators as well as basic token groups and token containers.Chapter 3: Basic Types and ExpressionsChapter Goal: Introducing integer, real and string data types and how expressions are assembled for different types using operators.Chapter 4: Nets and SignalsChapter Goal: Introducing the concept of nets and signals defined by nature and net_discipline types.Chapter 5: Modules and NetlistsChapter Goal: Introducing modules, as basic units of hierarchy in Verilog-A language, and their instantiation in SPICE and Verilog-A netlists.Chapter 6: Parameters and ParamsetsChapter Goal: Introducing the concept of parameters, customization of modules by passing parameters into a module at instantiation and the concept of instance and model parameters defined via paramsets.Chapter 7: Branch Contribution StatementsChapter Goal: Introducing the concept of analog branch assignments and signal access mechanisms.Chapter 8: Procedural StatementsChapter Goal: Introducing analog procedural block and procedural control statements.Chapter 9: Derivative and Integral OperatorsChapter Goal: Detailed description of analog functions used to perform differentiation and integration in time.Chapter 10: Built-in Mathematical FunctionsChapter Goal: Define all Verilog-A standard mathematical function.Chapter 11: User Defined FunctionsChapter Goal: Describe how to write modular, maintainable and reusable models in Verilog-A using user defined functions.Chapter 12: Analog Filter FunctionsChapter Goal: Introducing Verilog-A time and frequency domain filter functions and their usage with constant and dynamic arguments.Chapter 13: Look-Up Table ModelsChapter Goal: Describing how to create a multidimensional interpolation lookup-up table models in Verilog-AChapter 14: Small Signal and Noise SourcesChapter Goal: Introducing Verilog-A functions supporting small signal and noise analysis in SPICE simulators.Chapter 15: EventsChapter Goal: Introducing methods to control analog behaviour of the component models in Verilog-A.Chapter 16: Input and OutputChapter Goal: Describe methods and functions to read and write formatted data.Chapter 17: Simulator Query and Control MethodsChapter Goal: Describing the methods to access the simulator kernel parameters in the Verilog-A model.Chapter 18: AttributesChapter Goal: Introducing attributes as a mechanism for specifying properties about objects, statements and groups of statements in the Verilog-A source that can be used by the simulator.Chapter 19: Compiler DirectivesChapter Goal: Introducing compiler directives that dictate Verilog-A compiler behaviour in a pre-processingcompilation phase.Chapter 20: SPICE CompatibilityChapter Goal: Describes the degree of compatibility with SPICE-like simulators which Verilog-A provides and the approach taken to provide that compatibility.
Make: Elektronik (3. Auflage)
Eine unterhaltsame Einführung für Maker, Kids, Tüftlerinnen und Bastler in 3. Auflage.Dinge verheizen, Sachen vermasseln – so lernt man. Beginnend mit den grundlegenden Konzepten können Sie anhand eigener praktischer Experimente und unter Verwendung erschwinglicher Teile und Werkzeuge lernen.Auf dem Weg dorthin können Sie eine Sicherung durchbrennen lassen, ein Relais zum Summen bringen und eine Leuchtdiode durchbrennen lassen. In Make: Elektronik gibt es kein misslungenes Experiment, denn alle Experimente sind ein wertvoller Lernprozess. Mit dieser dritten Auflage wird das bewährte Buch jetzt noch besser.Innerhalb weniger Stunden bauen Sie einen Reflexionstester, einen Einbruchsalarm, ein Quizspiel oder ein Zahlenschloss – und modifizieren sie, um noch viel mehr zu tun. Nachdem Sie die Grundlagen von Spannung, Strom, Widerstand, Kapazität und Induktivität kennengelernt haben, werden Sie die Grundlagen von Logikchips, Funk, Mikrocontrollern und Elektromagnetismus entdecken. Jedes Projekt passt auf ein einziges Breadboard, und die meisten erfordern keine Lötarbeiten.Alle Experimente arbeiten mit sicheren, niedrigen Spannungen, die meist von einer einzigen 9-Volt-Batterie geliefert werden. Make:-Elektronik zieht Leserinnen und Leser aller Altersgruppen angezogen, von 10-Jährigen bis hin zu Rentnerinnen und Rentnern, die endlich freie Zeit haben, um ihre Neugierde an Elektronik zu befriedigen.Zum Autor:Charles Platts erstes Elektronik-Projekt war ein Telefonanrufbeantworter, den er mit 15 selbst baute. Er wurde Science-Fiction-Autor (The Silicon Man), brachte Leuten das Erstellen von Computergrafiken bei und war Redakteur bei der Zeitschrift Wired, ehe er wieder zu seiner ersten Liebe, der Elektronik, zurückkehrte. Er ist Editor beim amerikanischen Make:-Magazin.
Practical MATLAB Deep Learning
Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning.Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include:* Aircraft navigation* An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning* Stock market prediction* Natural language processing* Music creation usng generative deep learning* Plasma control* Earth sensor processing for spacecraft* MATLAB Bluetooth data acquisition applied to dance physics WHAT YOU WILL LEARN* Explore deep learning using MATLAB and compare it to algorithms* Write a deep learning function in MATLAB and train it with examples* Use MATLAB toolboxes related to deep learning* Implement tokamak disruption prediction* Now includes reinforcement learningWHO THIS BOOK IS FOREngineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.MICHAEL PALUSZEK is the co-author of MATLAB Recipes published by Apress. He is President of Princeton Satellite Systems, Inc. (PSS) in Plainsboro, New Jersey. Mr. Paluszek founded PSS in 1992 to provide aerospace consulting services. He used MATLAB to develop the control system and simulation for the Indostar-1 geosynschronous communications satellite, resulting in the launch of PSS' first commercial MATLAB toolbox, the Spacecraft Control Toolbox, in 1995. Since then he has developed toolboxes and software packages for aircraft, submarines, robotics, and fusion propulsion, resulting in PSS' current extensive product line. He is currently leading an Army research contract for precision attitude control of small satellites and working with the Princeton Plasma Physics Laboratory on a compact nuclear fusion reactor for energy generation and propulsion. Prior to founding PSS, Mr. Paluszek was an engineer at GE Astro Space in East Windsor, NJ. At GE he designed the Global Geospace Science Polar despun platform control system and led the design of the GPS IIR attitude control system, the Inmarsat-3 attitude control systems and the Mars Observer delta-V control system, leveraging MATLAB for control design. Mr. Paluszek also worked on the attitude determination system for the DMSP meteorological satellites. Mr. Paluszek flew communication satellites on over twelve satellite launches, including the GSTAR III recovery, the first transfer of a satellite to an operational orbit using electric thrusters. At Draper Laboratory Mr. Paluszek worked on the Space Shuttle, Space Station and submarine navigation. His Space Station work included designing of Control Moment Gyro based control systems for attitude control. Mr. Paluszek received his bachelors in Electrical Engineering, and master's and engineer’s degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology. He is author of numerous papers and has over a dozen U.S. Patents.STEPHANIE THOMAS is the co-author of MATLAB Recipes, published by Apress. She received her bachelor's and master's degrees in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 1999 and 2001. Ms. Thomas was introduced to PSS' Spacecraft Control Toolbox for MATLAB during a summer internship in 1996 and has been using MATLAB for aerospace analysis ever since. She built a simulation of a lunar transfer vehicle in C++, LunarPilot, during the same internship. In her nearly 20 years of MATLAB experience, she has developed many software tools including the Solar Sail Module for the Spacecraft Control Toolbox; a proximity satellite operations toolbox for the Air Force; collision monitoring Simulink blocks for the Prisma satellite mission; and launch vehicle analysis tools in MATLAB and Java, to name a few. She has developed novel methods for space situation assessment such as a numeric approach to assessing the general rendezvous problem between any two satellites implemented in both MATLAB and C++. Ms. Thomas has contributed to PSS' Attitude and Orbit Control textbook, featuring examples using the Spacecraft Control Toolbox, and written many software User's Guides. She has conducted SCT training for engineers from diverse locales such as Australia, Canada, Brazil, and Thailand and has performed MATLAB consulting for NASA, the Air Force, and the European Space Agency.ERIC HAM is a a Technical Specialist, Princeton Satellite Systems. His expertise lies with deep learning, programming using MATLAB, C++ and related.1. What is deep learning? – no changes except editoriala. Machine learning vs. deep learningb. Approaches to deep learningc. Recurrent deep learningd. Convolutional deep learning2. MATLAB machine and deep learning toolboxesa. Describe the functionality and applications of each toolboxb. Demonstrate MATLAB toolboxes related to Deep Learningc. Include the text toolbox generative toolbox and reinforcement learning toolboxd. Add more detail on each3. Finding Circles – no changes except editorial.4. Classifying movies – no changes except editorial.5. Tokamak disruption detection – this would be updated.6. Classifying a pirouette – no changes except editorial.7. Completing sentences - This would be revamped using the MATLAB Text Processing Toolbox.8. Terrain based navigation-The example in the original book would be changed to a regression approach that can interpolate position. We would switch to a terrestrial example applicable to drones.9. Stock prediction – this is a very popular chapter. We would improve the algorithm.10. Image classification – no changes except editorial.11. Orbit Determination – add inclination to the algorithm.12. Earth Sensors – a new example on how to use neural networks to measure roll and yaw from any Earth sensor.13. Generative deep learning example. This would be a neural network that generates pictures after learning an artist’s style.14. Reinforcement learning. This would be a simple quadcopter hovering control system. It would be simulation based although readers would be able to apply this to any programmable quadcopter.
Einstieg in Visual Basic mit Visual Studio 2022
Sie möchten das Programmieren mit Visual Basic lernen? Dann führt Sie dieses Buch schnell und sicher zum Ziel. An anschaulichen und leicht nachvollziehbaren Beispielen lernen Sie alle wichtigen Themen kennen: Grundlagen zu Variablen, Operatoren, Schleifen und Co., objektorientierte Programmierung, GUI-Programmierung mit Windows Forms, Fehlerbehandlung und Entwicklung von Datenbankanwendungen. Auch in die Entwicklung von GUIs mit der Windows Presentation Foundation werden Sie eingeführt. Ausführliche Schritt-für-Schritt-Anleitungen und regelmäßige Zusammenfassungen sichern Ihren Lernerfolg. Ihr neu gewonnenes Wissen können Sie an einer Vielzahl von Übungsaufgaben unter Beweis stellen und an Musterlösungen überprüfen. So werden Sie schon bald selbstständig eigene Windows-Programme entwickeln. Aus dem Inhalt: VB-Sprachgrundlagen.NET 6 und Visual Studio 2022Einführung in die Windows-ProgrammierungFehlerbehandlungObjektorientierte ProgrammierungWichtige KlassenDatenbank-AnwendungenZeichnen mit GDI+Einführung in Windows Presentation FoundationVerteilung von ProgrammenÜbungen und Musterlösungen Materialien zum Buch ... 18 1. Einführung ... 19 1.1 ... Visual Basic .NET, ein moderner Klassiker ... 19 1.2 ... Visual Basic .NET und Visual Studio ... 20 1.3 ... Aufbau dieses Buchs ... 21 1.4 ... Visual Studio 2022 ... 21 1.5 ... Mein erstes Windows-Programm ... 22 1.6 ... Visual-Studio-Entwicklungsumgebung ... 22 1.7 ... Ausgaben ... 36 1.8 ... Arbeiten mit Steuerelementen ... 41 2. Grundlagen ... 49 2.1 ... Variablen und Datentypen ... 49 2.2 ... Operatoren ... 60 2.3 ... Einfache Steuerelemente ... 67 2.4 ... Verzweigungen mit »If« und »IIf()« ... 75 2.5 ... Verzweigungen mit »Select« und »Case« ... 85 2.6 ... Verzweigungen und Steuerelemente ... 88 2.7 ... Schleifen ... 97 2.8 ... Schleifen und Steuerelemente ... 106 3. Fehlerbehandlung ... 119 3.1 ... Entwicklung eines Programms ... 119 3.2 ... Fehlerarten ... 120 3.3 ... Syntaxfehler ... 120 3.4 ... Laufzeitfehler und Exception Handling ... 123 3.5 ... Logische Fehler und Debuggen ... 127 4. Erweiterte Grundlagen ... 131 4.1 ... Steuerelemente aktivieren ... 131 4.2 ... Bedienung per Tastatur ... 136 4.3 ... Ereignisgesteuerte Programmierung ... 138 4.4 ... Datenfelder ... 145 4.5 ... Methoden ... 157 4.6 ... Nullbare Datentypen ... 171 4.7 ... Konsolenanwendung ... 176 4.8 ... Tupel ... 183 5. Objektorientierte Programmierung ... 191 5.1 ... Was ist Objektorientierung? ... 191 5.2 ... Klasse, Eigenschaft, Methode, Objekt ... 192 5.3 ... Eigenschaftsmethode ... 196 5.4 ... Konstruktor ... 198 5.5 ... Namensräume ... 201 5.6 ... Referenzen, Vergleiche und Typen ... 202 5.7 ... Operatormethoden ... 209 5.8 ... Statische Elemente ... 214 5.9 ... Delegates ... 217 5.10 ... Vererbung ... 220 5.11 ... Polymorphie ... 225 5.12 ... Abstrakte Klassen ... 228 5.13 ... Schnittstellen ... 232 5.14 ... Strukturen ... 235 5.15 ... Generische Datentypen ... 239 5.16 ... Erweiterungsmethoden ... 249 5.17 ... Eigene Klassenbibliotheken ... 252 5.18 ... Mehrere Formulare ... 254 6. Wichtige Klassen in .NET ... 261 6.1 ... Zeichenketten ... 261 6.2 ... Datum und Uhrzeit ... 274 6.3 ... Textdateien ... 281 6.4 ... XML-Dateien ... 288 6.5 ... Verzeichnisse ... 295 6.6 ... Mathematische Funktionen ... 301 7. Weitere Elemente eines Windows-Programms ... 307 7.1 ... Hauptmenü ... 307 7.2 ... Kontextmenü ... 315 7.3 ... Symbolleiste ... 317 7.4 ... Statusleiste ... 320 7.5 ... Dialogfeld »InputBox« ... 322 7.6 ... Dialogfeld »MessageBox« ... 325 7.7 ... Standarddialogfelder ... 329 7.8 ... Steuerelement »RichTextBox« ... 335 7.9 ... Steuerelement »ListView« ... 337 7.10 ... Steuerelement »DataGridView« ... 340 8. Datenbankanwendungen ... 345 8.1 ... Was sind relationale Datenbanken? ... 345 8.2 ... Anlegen einer Datenbank in MS Access ... 354 8.3 ... Datenbankzugriff mit Visual Basic .NET in Visual Studio ... 360 8.4 ... SQL-Befehle ... 368 8.5 ... Ein Verwaltungsprogramm ... 380 8.6 ... Verbindung zu MySQL ... 387 8.7 ... Verbindung zu SQLite ... 389 8.8 ... Datenbank mit mehreren Tabellen ... 392 9. Zeichnen mit GDI+ ... 437 9.1 ... Grundlagen von GDI+ ... 437 9.2 ... Linie, Rechteck, Polygon und Ellipse zeichnen ... 437 9.3 ... Text zeichnen ... 442 9.4 ... Bilder darstellen ... 445 9.5 ... Dauerhaft zeichnen ... 446 9.6 ... Zeichnen einer Funktion ... 447 10. Beispielprojekte ... 451 10.1 ... Spielprogramm »Tetris« ... 451 10.2 ... Lernprogramm »Vokabeln« ... 463 11. Windows Presentation Foundation ... 473 11.1 ... Layout ... 474 11.2 ... Steuerelemente ... 477 11.3 ... Anwendung mit Navigation ... 480 11.4 ... Zweidimensionale Grafik ... 483 11.5 ... Dreidimensionale Grafik ... 486 11.6 ... Animation ... 490 A. Installation und technische Hinweise ... 495 Index ... 499
Growth Hacking
Mehr Wachstum, mehr Kunden, mehr Erfolg Nutzen Sie die Methoden der Growth Hacker! Erfahren Sie, wie Sie mit geringstmöglichem Aufwand an Zeit, Geld und Manpower den maximalen Effekt erzielen. Was Sie dafür brauchen? Kreative Marketing ideen, Kennzahlen aus Ihrer Webanalyse, Know-how in User Experience und Webentwicklung sowie die Möglichkeit, Prozesse zu automatisieren. Mit dem Expertenwissen in diesem Buch bringen Sie all das zusammen und werden selbst Growth Hacker. Stellen Sie die Weichen auf Wachstum!
Trends und Entwicklungstendenzen im Qualitätsmanagement
Zielsetzung der Gesellschaft für Qualitätswissenschaft e.V. ist es, die Qualitätswissenschaft in Lehre und Forschung zu fördern und den Wissenstransfer in die industrielle Anwendung zu unterstützen. Geschehen soll dies unter anderem durch Pflege des wissenschaftlichen Erfahrungsaustauschs unter den auf diesem Gebiet tätigen Personen und Institutionen und der Verbreitung von Forschungs- und Entwicklungsergebnissen sowie der Unterstützung des Wissenstransfers zwischen Forschung und Praxis. Die Jahrestagung 2021 der Gesellschaft für Qualitätswissenschaft fand gemeinsam mit der Brandenburgischen Technischen Universität Cottbus - Senftenberg unter der Leitung von Prof. Dr.-Ing. Ralf Woll im September 2021 in Cottbus statt. Leitthema der Tagung war "Trends und Entwicklungstendenzen im Qualitätsmanagement". Der Tagungsband beinhaltet die eingereichten und begutachteten Beiträge, die im Rahmen der Tagung präsentiert worden sind. Diese decken ein weites thematisches Spektrum ab, von Potentialen neuronaler Netze zur Fehlervermeidung, automatisierte Maßnahmenempfehlung in Softwareentwicklungsprozessen über die zeitliche Veränderung von Kundenanforderungen bis hin zur Sicherheitskultur in der Agrar- und Ernährungsbranche.
Job Ready Go
TACKLE GOLANG WITH PRACTICAL AND EMPLOYMENT-FOCUSED INSTRUCTIONIn Job Ready Go, software education guru Dr. Haythem Balti delivers an essential and hands-on guide to Go, an open-source programming language developed by Google engineers to combine the most sought-after capabilities of other programming languages, including Java, C#, and C++. In the book, the author walks you through all the most critical skills necessary for successful, on-the-job Go programming. You’ll discover:* How to get started with Go, including how to run, build, and test your own go programs* Understand control flow and data structures in Go including arrays, slices, maps, and pointerss* How to leverage structs, interfaces, and methods to organize and reuse code* How to leverage go to process data, access different types of files and develop APIs* Leverage concurrency and gRPCs to create complex and interconnected systems. Job Ready Go offers readers straightforward and elegant instruction based on the renowned mthree Global Academy and Software Guild training program. It’s an essential read for aspiring Go developers looking for a fast-track to developing real-world skills demanded by employers. HAYTHEM BALTI, PHD, is an associate dean at Wiley Edge. He has created courses used by thousands of Software Guild and Wiley Edge (formerly mthree) alumni to learn Go, Java, Python, and other development and data science skills. KIMBERLY A. WEISS is a Senior Manager of Curriculum Operations for Wiley Edge. She has worked with multiple universities as well as corporate training settings to develop interactive instructional content appropriate for the target learners and course goals, specializing in software development courses. About the Authors vAbout the Technical Writer viAbout the Technical Editor viiAcknowledgments viiiIntroduction xxiPART I: THE BASICS OF THE GO PROGRAMMING LANGUAGE 1Lesson 1: Getting Started with Go 3Lesson 2: Understanding Go Basics 21Lesson 3: Storing with Variables 39Lesson 4: Performing Operations 69Lesson 5: Controlling Program Flow with Conditional Statements 99Lesson 6: Controlling Program Flow with Loops 123Lesson 7: Pulling It All Together: Income Tax Calculator 145PART II: ORGANIZING CODE AND DATA IN GO 173Lesson 8: Using Functions 175Lesson 9: Accessing Arrays 195Lesson 10: Working with Pointers 215Lesson 11: Organizing with Structs 237Lesson 12: Accessing Slices 263Lesson 13: Manipulating Maps 287Lesson 14: Creating Methods 305Lesson 15: Adding Interfaces 325Lesson 16: Pulling It All Together: Building a Burger Shop 343PART III: CREATING JOB READY SOLUTIONS IN GO 377Lesson 17: Handling Errors 379Lesson 18: Concurrency 395Lesson 19: Sorting and Data Processing 421Lesson 20: File I/O and OS Operations 453Lesson 21: Pulling It All Together: Word Analysis in Go 485PART IV: ADVANCED TOPICS FOR GO DEVELOPMENT 525Lesson 22: Testing 527Lesson 23: API Development Tutorial 561Lesson 24: Working with gRPC 591Lesson 25: Pulling It All Together: Using Smart Data 607Lesson 26: Using Modules 645Appendix: File Permissions and Access Rights 651Index 655
Ubuntu 22.04 LTS Schnelleinstieg
Steigen Sie mit Ubuntu ein in die Linux-Welt! Mit diesem Buch erhalten Sie eine leicht verständliche Schritt-für-Schritt-Anleitung für die Installation und den Einsatz von Ubuntu 22.04 LTS.Sie lernen die verschiedenen Installationsmöglichkeiten von Ubuntu kennen (Live-Version, Festinstallation, Ubuntu als einziges oder als zweites Betriebssystem parallel zu Windows). Darüber hinaus erfahren Sie, wie Sie Ubuntu einrichten und an Ihre individuellen Bedürfnisse anpassen. Sie erhalten eine detaillierte Einführung in die Arbeitsoberfläche GNOME sowie einen Überblick über vorinstallierte und weitere beliebte Linux-Software. So können Sie auch ohne Vorkenntnisse schnell und einfach auf Linux umsteigen. Darüber hinaus erfahren Sie, wie Sie auch Software, die eigentlich für den Betrieb unter Windows gedacht ist, installieren können.Eine Einführung in die wichtigsten Linux-Grundlagen wie die Datei- und Benutzerverwaltung, die Installation von Software (Paketverwaltung) sowie das Terminal runden diesen Praxiseinstieg ab. So sind Sie optimal darauf vorbereitet, alle im Alltag anfallenden Aufgaben problemlos mit Ubuntu zu meistern.Aus dem Inhalt:Grundlagen zu Linux und UbuntuInstallation und Live-VersionDie grafische Oberfläche GNOMEAnwendungen nachinstallierenWindows-Programme mit Ubuntu nutzenLinux-Alternativen zu gängigen Windows-ProgrammenBackups und SicherheitTerminal und VerzeichnishierarchieÜber den Autor:Robert Gödl ist überzeugter Linux-Nutzer mit einer Vorliebe für das Testen von freien Betriebssystemen und freier Software. Nach über 20 Jahren ohne Microsoft Windows möchte er anderen zeigen, dass Linux heute einfach zu installieren, zu nutzen und zu verstehen ist. Ohne viele technische IT-Begriffe macht er Linux auch Benutzern ohne Vorkenntnisse schnell und einfach zugänglich.Leseprobe (PDF-Link)
Microsoft Azure for Java Developers
Learn Azure-based features to build and deploy Java applications on Microsoft’s Azure cloud platform. This book provides examples of components on Azure that are of special interest to Java programmers, including the different deployment models that are available. The book shows how to deploy your Java applications in Azure WebApp, Azure Kubernetes Service, Azure Functions, and Azure Spring Cloud. Also covered is integration with components such as Graph API, Azure Storage, Azure Redis Cache, and Azure SQL.The book begins with a brief discussion of cloud computing and an introduction to Java support on Azure. You’ll then learn how to deploy Java applications using each of the deployment models, and you’ll see examples of integrating with Azure services that are of particular interest to Java programmers. Security is an important aspect, and this book shows you how to enable authentication and authorization for your Java applications using Azure Active Directory.Implementing a DevOps strategy is essential in today’s market when building any application. Examples in this book show you how to build continuous integration and continuous deployment pipelines to build and deploy Java applications on Azure. The book focuses on the best practices you should follow while designing and implementing Java applications on Azure. The book also elaborates on monitoring and debugging Java applications running on Azure using Application Insights and Azure Monitor.WHAT YOU WILL LEARN* Design and build Azure-based Java applications* Run Azure-based Java applications on services such as Azure App Services, Azure Spring Cloud, Azure Functions, and Azure Kubernetes Service* Integrate Azure services such as Azure SQL, Azure Storage Account, Azure Redis Cache, Azure Active Directory, and more with Java applications running on Azure * Monitor and debug Java applications running on Azure* Secure Azure-based Java applications* Build DevOps CI/CD strategy for Azure-based Java applications* Package and deploy Azure-based Java applications on Azure WHO THIS BOOK IS FORJava developers planning to build Azure-based Java applications and deploy them on Azure. Developers should be aware of the preliminary cloud fundamentals to help them understand the Java capability available on Azure. They do not need to be an expert in Azure to grasp the book’s content and start building Java-based applications using the capability available on Azure. However, they should have a good understanding of the Java programming language and frameworks.ABHISHEK MISHRA is a Principal Cloud Architect at a leading organization and has more than 17 years of experience in building and architecting software solutions for large and complex enterprises across the globe. He has deep expertise in enabling digital transformation for his customers using the cloud and artificial intelligence. He speaks at conferences on Azure and has authored four books on Azure prior to writing this new book.IntroductionPART I. BUILDING AND DEPLOYING JAVA APPLICATIONS TO AZURE1. Getting Started with Java Development for Azure2. Java for Azure WebApp3. Java-based Azure Functions4. Containerizing Java Applications with Azure Kubernetes Service5. Running Java Applications on Azure Spring CloudPART II. INTEGRATING JAVA APPLICATIONS WITH POPULAR AZURE SERVICES6. Integrating with Azure Storage Account7. Azure SQL from Java Applications8. Work with Azure Cosmos DB9. Storing Runtime Data in Azure Redis Cache10. Sending Emails using Graph API11. Debugging and Monitoring using Azure Monitor12. Authentication and Authorization with Azure Active DirectoryPART III. DEVOPS AND BEST PRACTICES13. Provisioning Resources with Azure DevOps and Azure CLI14. Building and Deploying using Azure DevOps15. A Near-Production Azure-based Java Application
From Complex Sentences to a Formal Semantic Representation using Syntactic Text Simplification and Open Information Extraction
This work presents a discourse-aware Text Simplification approach that splits and rephrases complex English sentences within the semantic context in which they occur. Based on a linguistically grounded transformation stage, complex sentences are transformed into shorter utterances with a simple canonical structure that can be easily analyzed by downstream applications. To avoid breaking down the input into a disjointed sequence of statements that is difficult to interpret, the author incorporates the semantic context between the split propositions in the form of hierarchical structures and semantic relationships, thus generating a novel representation of complex assertions that puts a semantic layer on top of the simplified sentences. In a second step, she leverages the semantic hierarchy of minimal propositions to improve the performance of Open IE frameworks. She shows that such systems benefit in two dimensions. First, the canonical structure of the simplified sentences facilitatesthe extraction of relational tuples, leading to an improved precision and recall of the extracted relations. Second, the semantic hierarchy can be leveraged to enrich the output of existing Open IE approaches with additional meta-information, resulting in a novel lightweight semantic representation for complex text data in the form of normalized and context-preserving relational tuples. Background.- Discourse-Aware Sentence Splitting.- Open Information Extraction.- Evaluation.- Conclusion.
Minecraft Basics For Dummies
THE EASY WAY TO GET STARTED WITH MINECRAFTWant to creep into the biggest video game of all time? Grab your pickaxe and let's go! Minecraft Basics For Dummies helps you (or your kids) get started and join the infinite online world that keeps millions of players of all ages engaged every day. Inside this portable-trim book, crafters will get all the tips and tricks needed to get started—on their own or with multiple players—in each of the three gameplay modes.* Choose a platform and download the game* Navigate, collect resources, and build structures* Defend your creations against monsters* Manage parental controls to keep kids safe while playing online* Become a Minecraft master by defeating the Ender DragonUnleash your creativity, elevate family game night, and have a ton of fun joining more than 141 million players in the online world of Minecraft! JESSE STAY is a social media technologist consultant and developer. Jesse was named by Mashable as one of ten entrepreneurs to follow on Twitter. He is the author of several For Dummies books on social media.JOSEPH STAY eats, drinks, and breathes Minecraft. Joseph is a straight-A student who jump-started his college studies a year early. Introduction 1PART 1: GETTING STARTED WITH MINECRAFT 5Chapter 1: Minecraft Is for Everyone — But What Is It? 7Chapter 2: Scratching the Surface of Minecraft 21Chapter 3: Let’s Go! Playing the Game and Surviving the First Night 33PART 2: GETTING A HANDLE ON THE BASIC SKILLS 55Chapter 4: Surviving Hunger 57Chapter 5: Discovering Blocks and Items 63Chapter 6: Exploring Biomes 79PART 3: EXPANDING YOUR SKILLS 87Chapter 7: Creating Farms in Your World 89Chapter 8: Exploring the Minecraft Underground by Mining and Caving 107Chapter 9: Leading Your Village 121Chapter 10: Powering Up with Weapons and Potions 131Chapter 11: Advancing to the Nether, The End, and Beyond 147Chapter 12: Expanding Your Minecraft Experience 175PART 4: THE PART OF TENS 187Chapter 13: Ten Things Adults Should Try in Minecraft (Adults Only!) 189Chapter 14: Ten Helpful Survival Tips 195Glossary 201Index 205
Web Application Development with Streamlit
Transition from a back-end developer to a full-stack developer with knowledge of all the dimensions of web application development, namely, front-end, back-end and server-side software. This book provides a comprehensive overview of Streamlit, allowing developers and programmers of all backgrounds to get up to speed in as little time as possible.Streamlit is a pure Python web framework that will bridge the skills gap and shorten development time from weeks to hours. This book walks you through the complete cycle of web application development, from an introductory to advanced level with accompanying source code and resources. You will be exposed to developing basic, intermediate, and sophisticated user interfaces and subsequently you will be acquainted with data visualization, database systems, application security, and cloud deployment in Streamlit.In a market with a surplus demand for full stack developers, this skill set could not possibly come at a better time. In one sentence, Streamlit is a means for the empowerment of developers everywhere and all stand to gain from it.WHAT YOU’LL LEARN* Mutate big data in real-time* Visualize big data interactively* Implement web application security and privacy protocols * Deploy Streamlit web applications to the cloud using Streamlit, Linux and Windows serversWHO IS THIS BOOK FOR?Developers with solid programming experience wanting to learn Streamlit; Back-end developers looking to upskill and transition to become a full-stack developers; Those who wish to learn and become more acquainted with data visualization, database systems, security and cloud deployment with SteamlitMOHAMMAD KHORASANI A hybrid of an engineer and a computer scientist with a Bachelor’s of Science in Mechanical Engineering from Texas A&M University, and a Master’s in Computer Science from the University of Illinois at Urbana-Champaign. Mohammad specializes in developing and implementing software solutions for the advancement of renewable energy systems and services at Iberdrola. In addition, he develops robotic devices using embedded systems and rapid prototyping technologies. He is also an avid blog-ger of STEM related topics on Towards Data Science - a Medium publication.MOHAMED ABDOU A Software Engineer with diverse academic and industrial exposure. A graduate of Computer Engineering from Qatar University, and currently a SDE at Amazon. Mohamed has built a variety of open source tools used by tens of thousands in the Streamlit community. He led the first Google Developer Student Club in Qatar, and represented Qatar University in national and international programming contests. He is a a cyber security enthusiast, and was ranked 2nd nationwide in bug bounty hunting in Qatar in 2020 among under 25 year old’s.JAVIER HERNANDEZ FERNANDEZ specializes in the area of technology innovation and brings over twenty years of practical experience in overseeing the design and delivery of technological developments on behalf of multi-national companies in the fields of IT, telecom, and utilities. He publishes extensively, speaks at conferences around the world, and spends his days wading through piles of academic papers in the hope of finding something interesting. He holds Masters’ degrees in both Energy Management and Project Management, in addition to a B.Sc. in Computer Science from the from the Faculty of Engineering of the University of Ottawa.PART I: INTRODUCTION TO STREAMLIT1 GETTING STARTED WITH STREAMLIT1.1 Why Streamlit?1.2 How Streamlit Works1.3 Firing it up2 STREAMLIT BASICS2.1 The Streamlit API2.2 Creating a basic appPART II: DEVELOPING ADVANCED INTERFACES AND APPLICATIONS3 ARCHITECTING STREAMLIT’S FRONT-END DESIGN3.1 Designing the application3.2 Provisioning multi-page applications3.3 Data wrangling4 GRAPHING IN DEPTH4.1 Visualization stack4.2 Exploring Plotly data visualizationsPART III: INTERFACING WITH DATABASE AND BACK-END SYSTEMS5 DATABASE INTEGRATION5.1 Relational Databases5.2 Non-relational databases6 BACK-END SERVERS6.1 The need for back-end servers6.2 Front-end/ Back-end Communication6.3 Working with JSON files6.4 Provisioning a back-end server6.5 Multi-threading and multi-processing request6.6 Connecting Streamlit to a Back-end ServerPART IV: ENFORCING APPLICATION SECURITY AND PRIVACY7 SESSION STATE7.1 Introducing session IDs7.2 Implementing session state persistently7.3 Recording user insights7.4 Implementing session state natively7.5 Cookies management8 AUTHENTICATION AND APPLICATION SECURITY8.1 Developing user accounts8.2 Verifying user credentials8.3 Secrets management8.4 Anti-SQL injection measures with SQL Alchemy8.5 Configuring Git Ignore variablesPART V: DEPLOYING STREAMLIT TO THE CLOUD9 PERSISTENT DEPLOYMENT9.1 Deployment to Streamlit Sharing9.2 Deployment to Linux9.3 Deployment to Windows Server10 EXPOSING LOCAL STREAMLIT TO THE WORLD WIDE WEB10.1 Port forwarding over network gateway10.2 Reverse Port Forwarding using NGROKPART VI: STREAMLIT CUSTOM COMPONENTS11 BUILDING STREAMLIT COMPONENTS WITH REACT.JS11.1 Introduction to Streamlit custom components11.2 Using React.js to create custom HTML components11.3 Deploying components as a Pip package12 EXTRA-STREAMLIT-COMPONENTS PACKAGE12.1 Stepper bar12.2 Splash screen . .12.3 Tab bar12.4 Cookie ManagerPART VII: STREAMLIT CASE STUDIES13 GENERAL USE CASES13.1 Data science & machine learning applications13.2 Dashboards and real-time applications13.3 Time-series applications13.4 Advanced application development14 STEAMLIT AT WORK14.1 Iberdrola Renewables14.2 DummyLearn.com
Building the Snowflake Data Cloud
Implement the Snowflake Data Cloud using best practices and reap the benefits of scalability and low-cost from the industry-leading, cloud-based, data warehousing platform. This book provides a detailed how-to explanation, and assumes familiarity with Snowflake core concepts and principles. It is a project-oriented book with a hands-on approach to designing, developing, and implementing your Data Cloud with security at the center. As you work through the examples, you will develop the skill, knowledge, and expertise to expand your capability by incorporating additional Snowflake features, tools, and techniques. Your Snowflake Data Cloud will be fit for purpose, extensible, and at the forefront of both Direct Share, Data Exchange, and Snowflake Marketplace.BUILDING THE SNOWFLAKE DATA CLOUD helps you transform your organization into monetizing the value locked up within your data. As the digital economy takes hold, with data volume, velocity, and variety growing at exponential rates, you need tools and techniques to quickly categorize, collate, summarize, and aggregate data. You also need the means to seamlessly distribute to release value. This book shows how Snowflake provides all these things and how to use them to your advantage.The book helps you succeed by delivering faster than you can deliver with legacy products and techniques. You will learn how to leverage what you already know, and what you don’t, all applied in a Snowflake Data Cloud context. After reading this book, you will discover and embrace the future where the Data Cloud is central. You will be able to position your organization to take advantage by identifying, adopting, and preparing your tooling for the coming wave of opportunity around sharing and monetizing valuable, corporate data.WHAT YOU WILL LEARN* Understand why Data Cloud is important to the success of your organization* Up-skill and adopt Snowflake, leveraging the benefits of cloud platforms* Articulate the Snowflake Marketplace and identify opportunities to monetize data* Identify tools and techniques to accelerate integration with Data Cloud* Manage data consumption by monitoring and controlling access to datasets* Develop data load and transform capabilities for use in future projectsWHO THIS BOOK IS FORSolution architects seeking implementation patterns to integrate with a Data Cloud; data warehouse developers looking for tips, tools, and techniques to rapidly deliver data pipelines; sales managers who want to monetize their datasets and understand the opportunities that Data Cloud presents; and anyone who wishes to unlock value contained within their data silosANDREW CARRUTHERS is the Director for the Snowflake Corporate Data Cloud at the London Stock Exchange Group. Comprising two Snowflake accounts supporting both ingestion data lake and consumption analytics hub, the Corporate Data Cloud services a growing customer base of over 7,000 end users. He also leads both the Centre for Enablement developing tooling, best practices and training, and the Snowflake Landing Zone provisioning Snowflake Accounts conforming to both internal standards and best practices.PART I. CONTEXT1. The Snowflake Data Cloud2. Breaking Data SiloesPART II. CONCEPTS3. Architecture4. Account Security5. Role Based Access Control (RBAC)6. Account Usage StorePART III. TOOLS7. Ingesting Data8. Data Pipelines9. Data Presentation10. Semi Structured and Unstructured DataPART IV. MANAGEMENT11. Query Optimizer Basics12. Data Management13. Data Modelling14. Snowflake Data Cloud By Example
Learn JavaFX Game and App Development
Understand real-world game development concepts using JavaFX game engine called FXGL. The core focus of the book is on developing a standalone game or application with FXGL.We will start with an overview of the book followed by requisite concepts from Java and JavaFX that will be used throughout this book. Next, we will learn about the FXGL game engine and its wide range of real-world game development techniques. In the following chapter, we learn about entity-component model used in FXGL to create a powerful abstraction of the game world. The next chapter builds on this, where we develop a platformer game using the physics engine and a popular external tool called Tiled. An important concept of games AI is covered in the following chapter. Visually complex features related to graphics and rendering as well as UI elements and animation system in FXGL will be discussed in the next chapter. The following chapter is dedicated to non-game applications that can be developed using FXGL. The last two chapters cover packaging and deployment of JavaFX and FXGL applications and discussion on future projects.The key take-away skill from this book is the ability to develop professional-level applications and games with FXGL. During the course of this book, you will have produced a range of cross-platform applications and games using FXGL, reinforcing the game development concepts covered throughout.WHAT YOU WILL LEARN• Understand use of advanced Java and JavaFX concepts• Learn about real-world game development concepts in a general-purpose programming language• Master professional cross-platform, desktop and mobile, games using the FXGL game engineWHO IS THIS BOOK FORThis book is for beginners in Java and/or JavaFX who wish to develop apps and games with FXGL, while improving Java and JavaFX skills.Dr Almas Baimagambetov is a Principal Lecturer in Computer Science at the University of Brighton, UK. He has considerable software development experience and is a huge fan of open source. His prominent contributions to the JVM community on GitHub include the FXGL game engine, collaborations on numerous JavaFX projects, a wide range of open-source games, and a collection of practical tutorials. Almas also has a YouTube channel focused on Java, Kotlin, JavaFX, Unity, and Unreal Engine. Chapter 1: IntroductionChapter Goal: Sets the scene for the book, provides an overview and sets expectationsChapter 2: Requisite Java and JavaFX ConceptsChapter Goal: Covers fundamental knowledge required to understand the book contentSub-topics: Java programmingJavaFX scene graphJavaFX model of programmingJavaFX conceptsChapter 3: FXGL ArchitectureChapter Goal: Provides an overview of the FXGL architecture, features, and capabilitiesChapter 4: Entity-Component Case Study: Develop Arcade GamesChapter Goal: Introduction to entity-component model used for abstracting game worldsSub-topics:Game worldEntity-Component modelPong and Breakout style gamesChapter 5: Physics Case Study: Develop a Platformer GameChapter Goal: Introduction to lightweight and heavyweight physics engines in FXGLSub-topics:Collision detectionRigid body dynamicsMario style gameChapter 6: AI Case Study: Develop a Maze Action GameChapter Goal: Provides a foundation for using and developing AI agents in FXGLSub-topics:A* pathfindingGraph theoryComponent-driven behaviorPac-man style gameChapter 7: Graphics and UI Case Study: Develop a Top-Down Shooter GameChapter Goal: Introduction to the particle and animation systems used in FXGLSub-topics:Particle systemMulti-layer renderingAnimationsInterpolationsGeometry wars style gameChapter 8: Developing General-Purpose ApplicationsChapter Goal: Provide information on how FXGL can be used in non-game contextsChapter 9: Cross-platform DeploymentChapter Goal: Demonstrates the package and deployment process with FXGLSub-topics:jlinkNative imagesGluon toolsMobile developmentChapter 10: ConclusionChapter Goal: Recap what was covered in the chapters, provides external resources and ideas for future projects
Object Detection by Stereo Vision Images
OBJECT DETECTION BY STEREO VISION IMAGESSINCE BOTH THEORETICAL AND PRACTICAL ASPECTS OF THE DEVELOPMENTS IN THIS FIELD OF RESEARCH ARE EXPLORED, INCLUDING RECENT STATE-OF-THE-ART TECHNOLOGIES AND RESEARCH OPPORTUNITIES IN THE AREA OF OBJECT DETECTION, THIS BOOK WILL ACT AS A GOOD REFERENCE FOR PRACTITIONERS, STUDENTS, AND RESEARCHERS.Current state-of-the-art technologies have opened up new opportunities in research in the areas of object detection and recognition of digital images and videos, robotics, neural networks, machine learning, stereo vision matching algorithms, soft computing, customer prediction, social media analysis, recommendation systems, and stereo vision. This book has been designed to provide directions for those interested in researching and developing intelligent applications to detect an object and estimate depth. In addition to focusing on the performance of the system using high-performance computing techniques, a technical overview of certain tools, languages, libraries, frameworks, and APIs for developing applications is also given. More specifically, detection using stereo vision images/video from its developmental stage up till today, its possible applications, and general research problems relating to it are covered. Also presented are techniques and algorithms that satisfy the peculiar needs of stereo vision images along with emerging research opportunities through analysis of modern techniques being applied to intelligent systems. AUDIENCEResearchers in information technology looking at robotics, deep learning, machine learning, big data analytics, neural networks, pattern & data mining, and image and object recognition. Industrial sectors include automotive electronics, security and surveillance systems, and online retailers. R. AROKIA PRIYA, PHD, is Head of Electronics & Telecommunication Department at Dr. D Y Patil Institute of Engineering, Management and Research, Pune, India. She has 20 years of experience in this field as well as more than 40 publications, one patent and two copyrights to her credit.ANUPAMA V PATIL, PHD, is the Principal at Dr. D Y Patil Institute of Engineering, Management and Research, Pune, India. She has more than 30 years of experience in this field as well as more than 40 publications and 1 patent to her credit. MANISHA BHENDE, PHD, is a professor at the Marathwada Mitra Mandals Institute of Technology, Pune, India. She has 23 years of experience in this field as well as 39 research papers in international and national conferences and journals, and has published five patents and four copyrights to her credit. ANURADHA THAKARE, PHD, is a professor in the Department of Computer Engineering at Pimpri Chinchwad College of Engineering, Pune, India. She has 20 years of experience in academics and research, with 78 research publications and eight IPR’s (Patents and Copyrights) to her credit. SANJEEV WAGH, PHD, is a Professor in the Department of Information Technology at Govt. College of Engineering, Karad, India. He has 71 research papers to his credit. Preface xiii1 DATA CONDITIONING FOR MEDICAL IMAGING 1Shahzia Sayyad, Deepti Nikumbh, Dhruvi Lalit Jain, Prachi Dhiren Khatri, Alok Saratchandra Panda and Rupesh Ravindra Joshi1.1 Introduction 21.2 Importance of Image Preprocessing 21.3 Introduction to Digital Medical Imaging 31.3.1 Types of Medical Images for Screening 41.3.1.1 X-rays 41.3.1.2 Computed Tomography (CT) Scan 41.3.1.3 Ultrasound 41.3.1.4 Magnetic Resonance Imaging (MRI) 51.3.1.5 Positron Emission Tomography (PET) Scan 51.3.1.6 Mammogram 51.3.1.7 Fluoroscopy 51.3.1.8 Infrared Thermography 61.4 Preprocessing Techniques of Medical Imaging Using Python 61.4.1 Medical Image Preprocessing 61.4.1.1 Reading the Image 71.4.1.2 Resizing the Image 71.4.1.3 Noise Removal 81.4.1.4 Filtering and Smoothing 91.4.1.5 Image Segmentation 111.5 Medical Image Processing Using Python 131.5.1 Medical Image Processing Methods 161.5.1.1 Image Formation 171.5.1.2 Image Enhancement 191.5.1.3 Image Analysis 191.5.1.4 Image Visualization 191.5.1.5 Image Management 191.6 Feature Extraction Using Python 201.7 Case Study on Throat Cancer 241.7.1 Introduction 241.7.1.1 HSI System 251.7.1.2 The Adaptive Deep Learning Method Proposed 251.7.2 Results and Findings 271.7.3 Discussion 281.7.4 Conclusion 291.8 Conclusion 29References 30Additional Reading 31Key Terms and Definition 322 DETECTION OF PNEUMONIA USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES: AN ANALYTICAL STUDY 33Shravani Nimbolkar, Anuradha Thakare, Subhradeep Mitra, Omkar Biranje and Anant Sutar2.1 Introduction 332.2 Literature Review 352.3 Learning Methods 412.3.1 Machine Learning 412.3.2 Deep Learning 422.3.3 Transfer Learning 422.4 Detection of Lung Diseases Using Machine Learning and Deep Learning Techniques 432.4.1 Dataset Description 432.4.2 Evaluation Platform 442.4.3 Training Process 442.4.4 Model Evaluation of CNN Classifier 462.4.5 Mathematical Model 472.4.6 Parameter Optimization 472.4.7 Performance Metrics 502.5 Conclusion 52References 533 CONTAMINATION MONITORING SYSTEM USING IOT AND GIS 57Kavita R. Singh, Ravi Wasalwar, Ajit Dharmik and Deepshikha Tiwari3.1 Introduction 583.2 Literature Survey 583.3 Proposed Work 603.4 Experimentation and Results 613.4.1 Experimental Setup 613.5 Results 643.6 Conclusion 70Acknowledgement 71References 714 VIDEO ERROR CONCEALMENT USING PARTICLE SWARM OPTIMIZATION 73Rajani P. K. and Arti Khaparde4.1 Introduction 744.2 Proposed Research Work Overview 754.3 Error Detection 754.4 Frame Replacement Video Error Concealment Algorithm 774.5 Research Methodology 774.5.1 Particle Swarm Optimization 784.5.2 Spatio-Temporal Video Error Concealment Method 784.5.3 Proposed Modified Particle Swarm Optimization Algorithm 794.6 Results and Analysis 834.6.1 Single Frame With Block Error Analysis 854.6.2 Single Frame With Random Error Analysis 864.6.3 Multiple Frame Error Analysis 884.6.4 Sequential Frame Error Analysis 914.6.5 Subjective Video Quality Analysis for Color Videos 934.6.6 Scene Change of Videos 944.7 Conclusion 954.8 Future Scope 97References 975 ENHANCED IMAGE FUSION WITH GUIDED FILTERS 99Nalini Jagtap and Sudeep D. Thepade5.1 Introduction 1005.2 Related Works 1005.3 Proposed Methodology 1025.3.1 System Model 1025.3.2 Steps of the Proposed Methodology 1045.4 Experimental Results 1045.4.1 Entropy 1045.4.2 Peak Signal-to-Noise Ratio 1055.4.3 Root Mean Square Error 1075.4.3.1 Qab/f 1085.5 Conclusion 108References 1096 DEEPFAKE DETECTION USING LSTM-BASED NEURAL NETWORK 111Tejaswini Yesugade, Shrikant Kokate, Sarjana Patil, Ritik Varma and Sejal Pawar6.1 Introduction 1116.2 Related Work 1126.2.1 Deepfake Generation 1126.2.2 LSTM and CNN 1126.3 Existing System 1136.3.1 AI-Generated Fake Face Videos by Detecting Eye Blinking 1136.3.2 Detection Using Inconsistence in Head Pose 1136.3.3 Exploiting Visual Artifacts 1136.4 Proposed System 1146.4.1 Dataset 1146.4.2 Preprocessing 1146.4.3 Model 1156.5 Results 1176.6 Limitations 1196.7 Application 1196.8 Conclusion 119References 1197 CLASSIFICATION OF FETAL BRAIN ABNORMALITIES WITH MRI IMAGES: A SURVEY 121Kavita Shinde and Anuradha Thakare7.1 Introduction 1217.2 Related Work 1237.3 Evaluation of Related Research 1297.4 General Framework for Fetal Brain Abnormality Classification 1297.4.1 Image Acquisition 1307.4.2 Image Pre-Processing 1307.4.2.1 Image Thresholding 1307.4.2.2 Morphological Operations 1317.4.2.3 Hole Filling and Mask Generation 1317.4.2.4 MRI Segmentation for Fetal Brain Extraction 1327.4.3 Feature Extraction 1327.4.3.1 Gray-Level Co-Occurrence Matrix 1337.4.3.2 Discrete Wavelet Transformation 1337.4.3.3 Gabor Filters 1347.4.3.4 Discrete Statistical Descriptive Features 1347.4.4 Feature Reduction 1347.4.4.1 Principal Component Analysis 1357.4.4.2 Linear Discriminant Analysis 1367.4.4.3 Non-Linear Dimensionality Reduction Techniques 1377.4.5 Classification by Using Machine Learning Classifiers 1377.4.5.1 Support Vector Machine 1387.4.5.2 K-Nearest Neighbors 1387.4.5.3 Random Forest 1397.4.5.4 Linear Discriminant Analysis 1397.4.5.5 Naïve Bayes 1397.4.5.6 Decision Tree (DT) 1407.4.5.7 Convolutional Neural Network 1407.5 Performance Metrics for Research in Fetal Brain Analysis 1417.6 Challenges 1427.7 Conclusion and Future Works 142References 1438 ANALYSIS OF COVID-19 DATA USING MACHINE LEARNING ALGORITHM 147Chinnaiah Kotadi, Mithun Chakravarthi K., Srihari Chintha and Kapil Gupta8.1 Introduction 1478.2 Pre-Processing 1488.3 Selecting Features 1498.4 Analysis of COVID-19–Confirmed Cases in India 1528.4.1 Analysis to Highest COVID-19–Confirmed Case States in India 1538.4.2 Analysis to Highest COVID-19 Death Rate States in India 1538.4.3 Analysis to Highest COVID-19 Cured Case States in India 1548.4.4 Analysis of Daily COVID-19 Cases in Maharashtra State 1558.5 Linear Regression Used for Predicting Daily Wise COVID- 19Cases in Maharashtra 1568.6 Conclusion 157References 1579 INTELLIGENT RECOMMENDATION SYSTEM TO EVALUATE TEACHING FACULTY PERFORMANCE USING ADAPTIVE COLLABORATIVE FILTERING 159Manish Sharma and Rutuja Deshmukh9.1 Introduction 1609.2 Related Work 1629.3 Recommender Systems and Collaborative Filtering 1649.4 Proposed Methodology 1659.5 Experiment Analysis 1679.6 Conclusion 168References 16810 VIRTUAL MORATORIUM SYSTEM 171Manisha Bhende, Muzasarali Badger, Pranish Kumbhar, Vedanti Bhatkar and Payal Chavan10.1 Introduction 17210.1.1 Objectives 17210.2 Literature Survey 17210.2.1 Virtual Assistant—BLU 17210.2.2 HDFC Ask EVA 17310.3 Methodologies of Problem Solving 17310.4 Modules 17410.4.1 Chatbot 17410.4.2 Android Application 17510.4.3 Web Application 17510.5 Detailed Flow of Proposed Work 17610.5.1 System Architecture 17610.5.2 DFD Level 1 17710.6 Architecture Design 17810.6.1 Main Server 17810.6.2 Chatbot 17810.6.3 Database Architecture 18010.6.4 Web Scraper 18010.7 Algorithms Used 18110.7.1 AES-256 Algorithm 18110.7.2 Rasa NLU 18110.8 Results 18210.9 Discussions 18310.9.1 Applications 18310.9.2 Future Work 18310.9.3 Conclusion 183References 18311 EFFICIENT LAND COVER CLASSIFICATION FOR URBAN PLANNING 185Vandana Tulshidas Chavan and Sanjeev J. Wagh11.1 Introduction 18511.2 Literature Survey 18911.3 Proposed Methodology 19111.4 Conclusion 192References 19212 DATA-DRIVEN APPROCHES FOR FAKE NEWS DETECTION ON SOCIAL MEDIA PLATFORMS: REVIEW 195Pradnya Patil and Sanjeev J. Wagh12.1 Introduction 19612.2 Literature Survey 19612.3 Problem Statement and Objectives 20112.3.1 Problem Statement 20112.3.2 Objectives 20112.4 Proposed Methodology 20212.4.1 Pre-Processing 20212.4.2 Feature Extraction 20312.4.3 Classification 20312.5 Conclusion 204References 20413 DISTANCE MEASUREMENT FOR OBJECT DETECTION FOR AUTOMOTIVE APPLICATIONS USING 3D DENSITY-BASED CLUSTERING 207Anupama Patil, Manisha Bhende, Suvarna Patil and P. P. Shevatekar13.1 Introduction 20813.2 Related Work 21013.3 Distance Measurement Using Stereo Vision 21313.3.1 Calibration of the Camera 21513.3.2 Stereo Image Rectification 21513.3.3 Disparity Estimation and Stereo Matching 21613.3.4 Measurement of Distance 21713.4 Object Segmentation in Depth Map 21813.4.1 Formation of Depth Map 21813.4.2 Density-Based in 3D Object Grouping Clustering 21813.4.3 Layered Images Object Segmentation 21913.4.3.1 Image Layer Formation 22113.4.3.2 Determination of Object Boundaries 22213.5 Conclusion 223References 22414 REAL-TIME DEPTH ESTIMATION USING BLOB DETECTION/ CONTOUR DETECTION 227Arokia Priya Charles, Anupama V. Patil and Sunil Dambhare14.1 Introduction 22714.2 Estimation of Depth Using Blob Detection 22914.2.1 Grayscale Conversion 23014.2.2 Thresholding 23114.2.3 Image Subtraction in Case of Input with Background 23214.2.3.1 Preliminaries 23314.2.3.2 Computing Time 23414.3 Blob 23414.3.1 BLOB Extraction 23414.3.2 Blob Classification 23514.3.2.1 Image Moments 23614.3.2.2 Centroid Using Image Moments 23814.3.2.3 Central Moments 23814.4 Challenges 24114.5 Experimental Results 24114.6 Conclusion 251References 255Index 257
Vue.js
Von Grundlagen bis Best Practices – für den Um- und Einstieg in Vue 3Dieses Buch ist ein praxisnaher Einstieg für alle, die sich Vue einmal genauer ansehen möchten. Fabian Deitelhoff erklärt den komponentenbasierte Ansatz, wie dieser umgesetzt wird und natürlich was für Vorteile er hat. Die Neuerungen von Vue 3 erläutert er detailliert. Und wer noch mit Vue 2 arbeiten muss oder möchte, findet hilfreiche Tipps und Hinweise zu Unterschieden und Stolpersteinen. Auch ein Blick in das Vue-Ökosystem rund um Themen wie State Management oder Internationalisierung sind Teil dieses Buchs. Angereichert mit vielen Code-Beispielen und praktischen Tipps aus der Webentwicklung begleitet Sie der Autor so von Projektstart, über Architektur bis Testen und Deployment.Autor:Dr. Fabian Deitelhoff arbeitet nach seiner Promotion zu „Source Code Comprehension“ als Tech-Lead Domestics an Cloud-Themen bei Miele. Darüber hinaus ist er mit brickobotik in der MINT-Bildung und mit Loosely in der Cross-Plattform-Softwareentwicklung tätig. Seine Schwerpunkte sind Low- und No-Code sowie digitale Geschäftsmodelle. Daneben ist er als freier Autor, Dozent und Softwareentwickler im .NET- und Web-Umfeld tätig. Sie erreichen ihn über deitelhoff.me, unter fabian@deitelhoff.me oder auf Twitter als @FDeitelhoff.Zielgruppe:Softwareentwickler*innenWebentwickler*innenFrontend-Entwickler*innenInformatikstudierendeAuszubildende
Blockchain and Ethereum Smart Contract Solution Development
Build decentralized applications with smart contract programming. Following the curriculum from an active blockchain course taught by the author at the McCombs School of Business at the University of Texas, this book fills the gaps for you from learning about basic cryptocurrency uses of blockchain to understanding smart contracts and dapps.You’ll first start by understanding the basics of blockchain technology. Take a business point of view to discover general concepts about blockchains and dapps or “decentralized apps” built off of smart contracts. Next, learn about the token economy, how to design tokens, and relevant client technologies, such as web3, metamask, and UI/UX design. Then, install a blockchain node yourself.With a basic understanding of blockchain applications and business uses, you’ll move further into hands-on development. There are ten modules for hands-on smart contract programming covered to build your own decentralized applications. Several team projects built end-to-end from concept to deployment to operation are also provided. Using these models and your own original work, you’ll build a smart contract development environment, practice Solidity programming, compile source code, perform security reviews, and deploy bytecode to blockchains.The breakthrough in blockchain technology has empowered novel ecosystems and applications in the areas of Decentralized Finance (DeFi), Central Bank Digital Currency (CBDC), Non-Fungible Tokens (NFT), Decentralized Autonomous Organization (DAO), and more. Blockchain and Ethereum Smart Contract Solution Development will prepare you to create fantastic applications using Ethereum’s smart contracts and solid concepts of decentralized programming!WHAT YOU'LL LEARN* Become familiar with Blockchain technology, both in theory and in practice* Understand architectural components of blockchain and the underlying computer science* Implement blockchain smart contract solutions using both public and enterprise Ethereum blockchainsWHO THIS BOOK IS FORIT professionals and mid-level managers interested in smart contract development. Blockchain Consultants who want to have a handbook of smart contract development methodologies. And enterprise technologiests helping companies through the transformation to blockchain technologies.DR.WEIJIA ZHANG teaches a smart contract development course at the University of Texas. Dr. Weijia Zhang has extensive R&D knowledge and engineering experience in blockchain, cognitive sciences, mental modeling, Computational Fluid Dynamics (CFD), software modeling, computer technologies, and industrial standards. Weijia has published over thirty research and technical papers and is named as an inventor for over twenty patents, granted and pending, in computer and digital technology. He has also served as a technical committee voting member to publish the Solution Deployment Descriptor (SDD) by the Organization for the Advancement of Structured Information Standards (OASIS).DR TEJ ANAND is an award-winning business-technology strategist, consultant, and innovator with a passion for conceiving and successfully implementing transformative data-driven business initiatives. He’s known for being a charismatic leader who effectively collaborates across silos to create committed and impactful cross-functional teams. As a published author, adjunct professor, and educator, Dr. Anand also holds multiple patents in healthcare business processes and business intelligence.CHAPTER 1: BUSINESS AND ECONOMIC MOTIVATION FOR BLOCKCHAIN● Origin of moneyEvolution of fiat currencyComplications with multiparty transactionsAdvantages and disadvantages of paper currents● Current economic inefficiencies● Blockchain potential● QuizzesCHAPTER 2: THE CORE TECHNOLOGIES SUPPORTING BLOCKCHAIN● Cryptology● Distributed systems● Peer-to-peer networking● QuizzesCHAPTER 3: BLOCKCHAIN COMPONENTS AND ARCHITECTURE● Notion of distributed ledgers● Transactions, blocks, mining● Smart contracts● QuizzesCHAPTER 4: BLOCKCHAIN BUSINESS APPLICATION GUIDELINES● Selecting a use case● Design issues● QuizzesCHAPTER 5: BITCOIN BLOCKCHAIN IMPLEMENTATION AND ECONOMICS● Bitcoin system setup● Programming Assignments● QuizzesCHAPTER 6: ETHEREUM OVERVIEW AND ARCHITECTURE● Blockchain Ecosystem and Dapps● Assignment: Ethereum Smart contract setup with environments● geth client, Besu client, Metamask, Remix, Truffle, web3CHAPTER 7: PROGRAMMING SMART CONTRACT WITH SOLIDITY● Module 1 Hello World and syntax● Module 2 data structure● Module 3 event● Module 4 security● Module 5 (Tools, Test, Debug)● Module 6 (Client consideration)CHAPTER 8: SECURITY CONSIDERATIONSCHAPTER 9: LAYER 2, SHARDING, ETH2 TECHNOLOGIES PROJECT DESIGNSCHAPTER 10: FUNDING A PROJECTCHAPTER 11: BUILDING TEAM PROJECTS● Brainstorming● User stories● Architecture● Token and smart contract Design● Client consideration● Security review● Testnet deployment● Mainnet deployment● Operation and upgrade considerationAudience: Intermediate