Allgemein
Data Engineering with Scala and Spark
Most data engineers know that performance issues in a distributed computing environment can easily lead to issues impacting the overall efficiency and effectiveness of data engineering tasks. While Python remains a popular choice for data engineering due to its ease of use, Scala shines in scenarios where the performance of distributed data processing is paramount.This book will teach you how to leverage the Scala programming language on the Spark framework and use the latest cloud technologies to build continuous and triggered data pipelines. You’ll do this by setting up a data engineering environment for local development and scalable distributed cloud deployments using data engineering best practices, test-driven development, and CI/CD. You’ll also get to grips with DataFrame API, Dataset API, and Spark SQL API and its use. Data profiling and quality in Scala will also be covered, alongside techniques for orchestrating and performance tuning your end-to-end pipelines to deliver data to your end users.By the end of this book, you will be able to build streaming and batch data pipelines using Scala while following software engineering best practices.
Angular for Enterprise Applications
If you’re looking to upskill and build sophisticated, minimalist web applications suited for enterprise use, Angular for Enterprise Applications is your guide to the next level of engineering mastery.In its third edition, this Angular book distils hard-earned lessons into a lucid roadmap for success. Adopting a pragmatic approach founded on a robust technical base, you'll utilize both JavaScript and TypeScript fundamentals. You'll also embrace agile engineering coding principles and learn to architect optimally sized enterprise solutions employing the freshest concepts in Angular.You’ll gradually build upon this foundation through insightful recipes, sample apps, and crystal-clear explanations. You’ll master authentication and authorization and achieve optimal performance through reactive programming and lazy loading, build complex yet flexible UIs with Router-first principles, and then integrate with backend systems using REST and GraphQL APIs.You’ll cover modern tools like RxAngular, Qwik, and Signals. You’ll construct master/detail views using data tables and NgRx for state management. You’ll explore DevOps using Docker and build CI/CD pipelines necessary for high-performance teams.By the end of this book, you’ll be proficient in leveraging Angular in enterprise and design robust systems that scale effortlessly.
Kubernetes Secrets Handbook
Securing Secrets in containerized apps poses a significant challenge for Kubernetes IT professionals. This book tackles the critical task of safeguarding sensitive data, addressing the limitations of Kubernetes encryption, and establishing a robust Secrets management system for heightened security for Kubernetes.Starting with the fundamental Kubernetes architecture principles and how they apply to the design of Secrets management, this book delves into advanced Kubernetes concepts such as hands-on security, compliance, risk mitigation, disaster recovery, and backup strategies. With the help of practical, real-world guidance, you’ll learn how to mitigate risks and establish robust Secrets management as you explore different types of external secret stores, configure them in Kubernetes, and integrate them with existing Secrets management solutions.Further, you'll design, implement, and operate a secure method of managing sensitive payload by leveraging real use cases in an iterative process to enhance skills, practices, and analytical thinking, progressively strengthening the security posture with each solution.By the end of this book, you'll have a rock-solid Secrets management solution to run your business-critical applications in a hybrid multi-cloud scenario, addressing operational risks, compliance, and controls.
Learning Continuous Integration with Jenkins
This updated edition of Learning Continuous Integration with Jenkins is your one-stop guide to implementing CI/CD with Jenkins, addressing crucial technologies such as cloud computing, containerization, Infrastructure as Code, and GitOps. Tailored to both beginners and seasoned developers, the book provides a practical path to mastering a production-grade, secure, resilient, and cost-effective CI/CD setup.Starting with a detailed introduction to the fundamental principles of CI, this book systematically takes you through setting up a CI environment using Jenkins and other pivotal DevOps tools within the CI/CD ecosystem. You’ll learn to write pipeline code with AI assistance and craft your own CI pipeline. With the help of hands-on tutorials, you’ll gain a profound understanding of the CI process and Jenkins’ robust capabilities. Additionally, the book teaches you how to expand your CI pipeline with automated testing and deployment, setting the stage for continuous deployment. To help you through the complete software delivery process, this book also covers methods to ensure that your CI/CD setup is maintainable across teams, secure, and performs optimally.By the end of the book, you’ll have become an expert in implementing and optimizing CI/CD setups across diverse teams.
Hands-On Unity Game Development
Take your game development skills to the next level. Dive into the world of game creation confidently by elevating your game development skills. This book is your definitive and practical guide to unlocking the full potential of Unity 2023. Every chapter is designed to empower you to customize your own game, not just replicate what's in the book. This new edition includes immersive Augmented Reality (AR) experiences and performance optimization with Data-Oriented Technology Stack (DOTS).From Scene Creation to seamless Assert Integration, dive into C# programming and Visual Scripting with step-by-step guidance for beginners. Implement dynamic gameplay elements, including movement, spawning, physics, and health systems. Delve deeper into the magic of Game AI through sensor-driven decision-making with Finite State Machines (FSMs). Elevate your visuals with materials, shaders, textures, and particle systems. Optimize performance with Profiler insights and debug your game for a polished final product.Whether you're a beginner or a seasoned pro, this book will equip you with the skills needed to bring your game ideas to life.
Mastering Cloud Security Posture Management (CSPM)
This book will help you secure your cloud infrastructure confidently with cloud security posture management (CSPM) through expert guidance that’ll enable you to implement CSPM effectively, ensuring an optimal security posture across multi-cloud infrastructures.The book begins by unraveling the fundamentals of cloud security, debunking myths about the shared responsibility model, and introducing key concepts such as defense-in-depth, the Zero Trust model, and compliance. Next, you’ll explore CSPM's core components, tools, selection criteria, deployment strategies, and environment settings, which will be followed by chapters on onboarding cloud accounts, dashboard customization, cloud assets inventory, configuration risks, and cyber threat hunting.As you progress, you’ll get to grips with operational practices, vulnerability and patch management, compliance benchmarks, and security alerts. You’ll also gain insights into cloud workload protection platforms (CWPPs). The concluding chapters focus on Infrastructure as Code (IaC) scanning, DevSecOps, and workflow automation, providing a thorough understanding of securing multi-cloud environments.By the end of this book, you’ll have honed the skills to make informed decisions and contribute effectively at every level, from strategic planning to day-to-day operations.
Machine Learning Infrastructure and Best Practices for Software Engineers
Although creating a machine learning pipeline or developing a working prototype of a software system from that pipeline is easy and straightforward nowadays, the journey toward a professional software system is still extensive. This book will help you get to grips with various best practices and recipes that will help software engineers transform prototype pipelines into complete software products.The book begins by introducing the main concepts of professional software systems that leverage machine learning at their core. As you progress, you’ll explore the differences between traditional, non-ML software, and machine learning software. The initial best practices will guide you in determining the type of software you need for your product. Subsequently, you will delve into algorithms, covering their selection, development, and testing before exploring the intricacies of the infrastructure for machine learning systems by defining best practices for identifying the right data source and ensuring its quality.Towards the end, you’ll address the most challenging aspect of large-scale machine learning systems – ethics. By exploring and defining best practices for assessing ethical risks and strategies for mitigation, you will conclude the book where it all began – large-scale machine learning software.
MATLAB for Machine Learning
Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning with this guide which is designed to enhance your proficiency in both machine learning and deep learning using MATLAB, paving the way for advanced applications.By navigating the versatile machine learning tools in the MATLAB environment, you’ll learn how to seamlessly interact with the workspace. You’ll then move on to data cleansing, data mining, and analyzing various types of data in machine learning, and visualize data values on a graph. As you progress, you’ll explore various classification and regression techniques, skillfully applying them with MATLAB functions.This book teaches you the essentials of neural networks, guiding you through data fitting, pattern recognition, and cluster analysis. You’ll also explore feature selection and extraction techniques for performance improvement through dimensionality reduction. Finally, you’ll leverage MATLAB tools for deep learning and managing convolutional neural networks.By the end of the book, you’ll be able to put it all together by applying major machine learning algorithms in real-world scenarios.
Conversational Artificial Intelligence
Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots’ increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details.ROMIL RAWAT, PHD, is an assistant professor at Shri Vaishnav Vidyapeeth Vishwavidyalaya, Indore. With over 12 years of teaching experience, he has published numerous papers in scholarly journals and conferences. He has also published book chapters and is a board member on two scientific journals. He has received several research grants and has hosted research events, workshops, and training programs. He also has several patents to his credit.RAJESH KUMAR CHAKRAWARTI, PHD, is a professor and the Dean of the Department of Computer Science & Engineering, Sushila Devi Bansal College, Bansal Group of Institutions, India. He has over 20 years of industry and academic experience and has published over 100 research papers and chapters in books.SANJAYA KUMAR SARANGI, PHD, is an adjunct professor and coordinator at Utkal University, Coordinator and Adjunct Professor, Utkal University, Bhubaneswar, India. He has over 23 years of academic experience and has authored textbooks, book chapters, and papers for journals and conferences. He has been a visiting doctoral fellow at the University of California, USA, and he has more than 30 patents to his credit.PIYUSH VYAS, PHD, is an assistant professor of computer information systems at Texas A&M University Central-Texas, USA. He has published numerous journal and conference articles in scholarly journals and conferences.MARY SOWJANYA ALAMANDA, PHD, is an associate professor in the Department of Computer Science and Systems Engineering at Andhra University College of Engineering, Visakhapatnam, India. She has four patents to her credit and has published more than 80 research publications in scholarly journals and conferences.KOTAGIRI SRIVIDYA, PHD, is an associate professor and Head of the Department of Computer Science at the GMR Institute of Technology, Rajam, India. He has 18 years of teaching experience.K. SAKTHIDASAN SANKARAN is a professor in the Department of Electronics and Communication Engineering at Hindustan Institute of Technology and Science, India. He is a reviewer and an editorial board member for several scholarly journals, and he has published more than 70 papers. He also has three books to his credit.Preface xxiii1 A Glance View on Cloud Infrastructures Security and Solutions 1Srinivasa Rao Gundu, Charanarur Panem and J. Vijaylaxmi2 Artificial Intelligence Effectiveness for Conversational Agents in Healthcare Security 17Ahmad Mateen Buttar and Abdul Hyee3 Conversational AI: Security Features, Applications, and Future Scope at Cloud Platform 31Ahmad Mateen Buttar, Faisal Shahzad and Uzma Jamil4 Unsupervised BERT-Based Granular Sentiment Analysis of Literary Work 59N. Shyamala Devi and K. Sharmila5 Extracting and Analyzing Factors to Identify the Malicious Conversational AI Bots on Twitter 71Gitika Vyas, Piyush Vyas, Prathamesh Muzumdar, Anitha Chennamaneni, Anand Rajavat and Romil Rawat6 Evolution and Adoption of Conversational Artificial Intelligence in the Banking Industry 85Neha Aggarwal and Kriti Bhaswar Singh7 Chatbots: Meaning, History, Vulnerabilities, and Possible Defense 95Divya Nair8 Conversational Chatbot-Based Security Threats for Business and Educational Platforms and Their Counter Measures 107Hriakumar Pallathadka, Domenic T. Sanchez, Larry B. Peconcillo, Jr., Malik Jawarneh, Julie Anne T. Godinez and John V. De Vera9 Identification of User Preference Using Human–Computer Interaction Technologies and Design of Customized Reporting for Business Analytics Using Ranking Consistency Index 127Martin Aruldoss, Miranda Lakshmi Travis and Prasanna Venkatesan Venkatasamy10 Machine Learning for Automatic Speech Recognition 147Hrishitva Patel, Ramakrishnan Raman, Malik Jawarneh, Arshiya S. Ansari, Hriakumar Pallathadka and Domenic T. Sanchez11 Conversational Artificial Intelligence at Industrial Internet of Things 169Dhirendra Siddharth, DilipKumar Jang Bahadur Saini, Mummadi Ramchandra and Summathi Loganathan12 Performance Analysis of Cloud Hypervisor Using Network Package Workloads in Virtualization 185J. Mary Ramya Poovizhi and R. Devi13 Evaluation of Chabot Text Classification Using Machine Learning 199P. Kumaraguru Diderot, K. Sakthidasan Sankaran, Malik Jawarneh, Hriakumar Pallathadka, José Luis Arias-Gonzáles and Domenic T. Sanchez14 Enhanced Security in Chatbot 219Ambika N.15 Heart Disease Prediction Using Ensemble Feature Selection Method and Machine Learning Classification Algorithms 237A. Lakshmi and R. Devi16 Conversational AI: Dialoguing Most Humanly With Non-Humans 249Rehan Khan, Shadab Pasha Khan and Syed Adnan Ali17 Counterfeit Pharmaceutical Drug Identification 269Sajidha S. A., Aakif Mairaj, Amit Kumar Tyagi, A. Vijayalakshmi, Nisha V. M., Siddharth Nair, C.K.M. Ganesan, Ram Gunasekaran and Hitarth Menon18 Advanced Security Solutions for Conversational AI 287Ranjana Sikarwar, Harish Kumar Shakya, Ajay Kumar and Anjali Rawat19 Security Threats and Security Testing for Chatbots 303Domenic T. Sanchez and Rodel S. Sartagoda20 ChatBot-Based Next-Generation Intrusion Detection System 319Tzu-Chia Chen21 Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning 335A. Mahesh Babu, Malik Jawarneh, José Luis Arias-Gonzáles, Meenakshi, Kishori Kasat and K.P. Yuvaraj22 Automatic Speech Recognition Design Modeling 353Babu Rao.K, Bhargavi Mopuru, Malik Jawarneh, José Luis Arias-Gonzáles, Samuel-Soma M. Ajibade and P. Prabhu23 The Future of Modern Transportation for Smart Cities Using Trackless Tram Networks 369Samson Arun Raj A. and Yogesh P.24 Evaluating the Performance of Conversational AI Tools: A Comparative Analysis 385Deepika Chauhan, Chaitanya Singh, Romil Rawat and Manoj Dhawan25 Conversational AI Applications in Ed-Tech Industry: An Analysis of Its Impact and Potential in Education 411Deepika Chauhan, Chaitanya Singh, Romil Rawat and Mukesh Chouhan26 Conversational AI: Introduction to Chatbot's Security Risks, Their Probable Solutions, and the Best Practices to Follow 435Vivek Bhardwaj, Balwinder Kaur Dhaliwal, Sanjaya Kumar Sarangi, T.M. Thiyagu, Aruna Patidar and Divyam Pithawa27 Recent Trends in Pattern Recognition, Challenges and Opportunities 459S. Kannadhasan and R. Nagarajan28 A Review of Renewable Energy Efficiency Technologies Toward Conversational AI 477S. Kannadhasan and R. Nagarajan29 Messaging Apps Vulnerability Assessment Using Conversational AI 495Tzu-Chia Chen30 Conversational AI Threat Identification at Industrial Internet of Things 513Boussaadi Smail, Meenakshi, José Luis Arias-Gonzáles, Malik Jawarneh, P. Venkata Hari Prasad and Harikumar Pallathadka31 Conversational AI—A State-of-the-Art Review 533Vivek Bhardwaj, Mukesh Kumar, Divyani Joshi, Ankita Chourasia, Bhushan Bawaskar and Shashank Sharma32 Risks for Conversational AI Security 557Vivek Bhardwaj, Safdar Sardar Khan, Gurpreet Singh, Sunil Patil, Devendra Kuril and Sarthak Nahar33 Artificial Intelligence for Financial Inclusion in India 589Samir Xavier Bhawnra and K.B. Singh34 Revolutionizing Government Operations: The Impact of Artificial Intelligence in Public Administration 607Aman Kumar Mishra, Amit Kumar Tyagi, Sathian Dananjayan, Anand Rajavat, Hitesh Rawat and Anjali Rawat35 Conversational AI and Cloud Platform: An Investigation of Security and Privacy 635V. Durga Prasad Jasti, Devabalan Pounraj, Malik Jawarneh, Meenakshi, P. Venkata Hari Prasad and Samrat Ray36 Chatbot vs Intelligent Virtual Assistance (IVA) 655Ajit Noonia, Rijvan Beg, Aruna Patidar, Bhushan Bawaskar, Shashank Sharma and Hitesh Rawat37 Digital Forensics with Emerging Technologies: Vision and Research Potential for Future 675Anand Kumar Mishra, V. Hemamalini and Amit Kumar Tyagi38 Leveraging Natural Language Processing in Conversational AI Agents to Improve Healthcare Security 699Jami Venkata Suman, Farooq Sunar Mahammad, M. Sunil Kumar, B. Sai Chandana and Sankararao Majji39 NLP-Driven Chatbots: Applications and Implications in Conversational AI 713A. Mary Sowjanya and Kotagiri SrividyaReferences 724About the Editors 727Index 729
Grundlagenwissen der Software-Entwicklung
Das Buch erklärt wichtige Begriffe der modernen Software-Entwicklung. Sämtliche Ausführungen betrachten das jeweilige Thema aus Sicht eines Managers mit Fokus auf die Bedeutung im unternehmerischen Prozess der Entwicklung einer Software und weniger aus der Perspektive eines Programmierers. Die vermittelten Kenntnisse dienen als Basis, um technologische Probleme in ihrer Schwere und Komplexität erfassen und Entscheidungen in ihrer Auswirkung einschätzen zu können. Zudem ermöglicht das dargebotene Grundwissen eine unmissverständliche und reibungslose Kommunikation zwischen IT-Fachkräften und der Zielgruppe der Manager. Das Werk beschränkt sich nicht nur auf eine Zusammenfassung aller wichtigen Fakten zu einem Thema, sondern vermittelt auch den Umgang in der Praxis und damit verbundene Vor- und Nachteile bzw. potentielle Gefahren.PHILIPP WINNIEWSKI absolvierte 2016 sein Masterstudium im Fach Informatik an der Julius-Maximilians-Universität Würzburg. Anschließend war er als Entwickler in einem mittelständischen Software-Unternehmen tätig. Dort sammelte er nicht nur Erfahrung in Sachen Programmierung, sondern war für interne und externe Projekte verantwortlich, leitete Teams und entwickelte Lösungen in enger Zusammenarbeit mit Großkunden. 2019 gründete er nebenberuflich sein eigenes Unternehmen Frequture, dem er sich inzwischen ganz widmet und über welches er Software-Lösungen und diverse IT-Dienstleistungen wie Consulting anbietet.Agile Software-Entwicklung - API - Architektur - Automation - Betriebssystem - Breaking-Change - Bugs - Bus - Bus-Faktor - Clean Coding - Cloud - Code-Monkey - Code-Review - Compiling - Computer - Cookies - Daten und Informationen - Datenbank - Deadlock - Deployment - Einrichtungszeit und Kontextwechsel - Entwicklungs-Team - Entwurfsmuster - Exception - Framework - Frontend und Backend - GUI - Hacking und Attacken - IDE - IP und Ports - ISO/OSI - JSON - Kodierung - Komplexität - LaTeX - Laufzeit - Logik - Machine-Learning - Methoden und Funktionen - Pair-Programming - Performanz gegen Persistenz - Programmieren nach Vertrag - Programmiersprache - Redundanz - Refaktorierung - Server - Stack Overflow - Technische Schulden - Technischer Overhead - Technologie-Stack - Testen - Threads - UML - UUID und GUID - Verschlüsselung - Versionskontrolle - Virtualisierung - Warteschlange - WYSIWYG - XML
The Software Developer's Guide to Linux
Developers are always looking to raise their game to the next level, yet most are completely lost when it comes to the Linux command line.This book is the bridge that will take you to the next level in your software development career. Most of the skills in the book can be immediately put to work to make you a more efficient developer. It’s written specifically for software engineers, not Linux system administrators, so each chapter will equip you with just enough theory to understand what you’re doing before diving into practical commands that you can use in your day-to-day work as a software developer.As you work through the book, you’ll quickly absorb the basics of how Linux works while you get comfortable moving around the command line. Once you’ve got the core skills, you’ll see how to apply them in different contexts that you’ll come across as a software developer: building and working with Docker images, automating boring build tasks with shell scripts, and troubleshooting issues in production environments.By the end of the book, you’ll be able to use Linux and the command line comfortably and apply your newfound skills in your day-to-day work to save time, troubleshoot issues, and be the command-line wizard that your team turns to.
Building an API Product
The exponential increase in the number of APIs is evidence of their widespread adoption by companies seeking to deliver value to users across diverse industries, making the art of building successful APIs an invaluable skill for anyone involved in product development. With this comprehensive guide, you’ll walk through the entire process of planning, designing, implementing, releasing, and maintaining successful API products.You’ll start by exploring all aspects of APIs, including their types, technologies, protocols, and lifecycle stages. Next, you’ll learn how to define an API strategy and identify business objectives, user personas, and jobs-to-be-done (JTBD). With these skills, you’ll delve into designing and validating API capabilities to create a machine-readable API definition. As you advance, the book helps you understand how to choose the right language and framework for securely releasing an API server and offers insights into analyzing API usage metrics, improving performance, and creating compelling documentation that users love. Finally, you’ll discover ways to support users, manage versions, and communicate changes or the retirement of an API.By the end of this API development book, you’ll have the confidence and skills to create API products that truly stand out in the market.
AI for Good
DISCOVER HOW AI LEADERS AND RESEARCHERS ARE USING AI TO TRANSFORM THE WORLD FOR THE BETTERIn AI for Good: Applications in Sustainability, Humanitarian Action, and Health, a team of veteran Microsoft AI researchers delivers an insightful and fascinating discussion of how one of the world’s most recognizable software companies is tacking intractable social problems with the power of artificial intelligence (AI). In the book, you’ll learn about how climate change, illness and disease, and challenges to fundamental human rights are all being fought using replicable methods and reusable AI code.The authors also provide:* Easy-to-follow, non-technical explanations of what AI is and how it works* Examinations of how healthcare is being improved, climate change is being addressed, and humanitarian aid is being facilitated around the world with AI* Discussions of the future of AI in the realm of social benefit organizations and effortsAn essential guide to impactful social change with artificial intelligence, AI for Good is a must-read resource for technical and non-technical professionals interested in AI’s social potential, as well as policymakers, regulators, NGO professionals, and, and non-profit volunteers.
KI als Zukunftsmotor für Verlage
Generative KI ist ein Game Changer für Verlage. Wie aber sollten Verlage darauf reagieren? Da in der Publishing-Branche Daten eine wichtige Rolle spielen, können KI-Technologien auch hier wertvolle Beiträge leisten. Diese Innovationen sichern gleichzeitig die Zukunft der Verlagsbranche gegenüber globalen Tech-Konzernen ab, die selbst Publishing anbieten. Ziel des Bandes ist es daher, über konkrete Potenziale in Verlagen zu sprechen, seien es z. B. Manuskriptarbeit, Marketingkommunikation oder Nachauflagen. Mit einer Einführung in KI, drei konkreten Fallbeispielen und einer Potenzialanalyse zu ChatGPT.
Interfaceless
Explore the possibilities spatial computing and its integration with AI can provide beyond the confines of a traditional user interface. Spatial computing brings together physical and virtual worlds and systems. This book offers an insightful journey into harmonizing user-centered design with the vast potential of AI in spatial computing.You'll start by exploring key concepts and processes in relation to conscious design and traditional computer interfaces. You'll then be introduced to the Mindful Spatial Design Framework (MSDF) and the rapidly evolving world of generative AI and its potential to transform design processes.Once the key concepts are mastered, you'll start to put them into practice and see how to design, prototype, and test interfaceless systems and environments that are seamless and user-friendly. In doing so you'll consider topics such as functionality and aesthetics, as well as how AI can improve automation and testing. The book concludes by looking at ethical AI considerations and best practices as well as looking at next steps and future developments of spatial computing and interfaceless design.As these invisible interfaces become more prevalent, understanding the key principles of conscious design is pivotal. Interfaceless will expand your knowledge base in these areas.WHAT YOU'LL LEARN* Incorporate conscious design principles in spatial computing projects.* Leverage AI to enhance UX in spatial contexts.* Develop strategies to address design challenges as we move beyond physical interfaces.* See how VR/XR apps, devices, and generative AI are rapidly changing how we perceive and interact with the digital realm.WHO THIS BOOK IS FORUX/UI designers, developers, and tech enthusiasts eager to grasp the future of HCI.Diana Olynick stands at the crossroads of design, engineering and spatial computing innovation. As a registered Professional Engineer, she brings a blend of technical acumen and design creativity to the XR field with over a decade of experience. Beyond academia, Diana's voice has resonated globally, with invitations to speak at several esteemed international conferences. She has dedicated herself to educating the next generation, guiding them through the intricacies of spatial computing and conscious design. Her ability to deconstruct and demystify complex XR topics for a wide audience sets her apart. In a rapidly evolving digital landscape, Diana is a leader fostering the transformative potential of interfaceless design.Diana’s educational contributions can be found at: https://www.dianaolynick.comChapter 1: Setting the Stage for the 'Interfaceless' Future.- Chapter 2: Exploring Generative AI and Its Transformative Power.- Chapter 3: Principles of Mindful and Conscious Design.- Chapter 4: The Evolving Role of AI: Automation and Beyond.- Chapter 5: Complexity, Simplicity, and True Minimalism.- Chapter 6: A Deep Dive into Interfaceless Environments.- Chapter 7: From Theory to Practice: Implementing 'Interfaceless' Designs.- Chapter 8: Ethical Design in an AI-Driven World.- Chapter 9: The Road Ahead: Predictions and Preparations.- Chapter 10: Concluding Thoughts and the Future Vision.- Appendix A: Resources and Tools for 'Interfaceless' Design.- Appendix B: Glossary of AI, Design and Key Terms.- Appendix C: Resources for Further Learning.- Appendix B: References.
Mastering Julia
Julia is a well-constructed programming language which was designed for fast execution speed by using just-in-time LLVM compilation techniques, thus eliminating the classic problem of performing analysis in one language and translating it for performance in a second.This book is a primer on Julia’s approach to a wide variety of topics such as scientific computing, statistics, machine learning, simulation, graphics, and distributed computing.Starting off with a refresher on installing and running Julia on different platforms, you’ll quickly get to grips with the core concepts and delve into a discussion on how to use Julia with various code editors and interactive development environments (IDEs).As you progress, you’ll see how data works through simple statistics and analytics and discover Julia's speed, its real strength, which makes it particularly useful in highly intensive computing tasks. You’ll also and observe how Julia can cooperate with external processes to enhance graphics and data visualization. Finally, you will explore metaprogramming and learn how it adds great power to the language and establish networking and distributed computing with Julia.By the end of this book, you’ll be confident in using Julia as part of your existing skill set.
Konzept eines remote Diagnosesystems zur Qualitätssteigerung von Messdaten in der modernen Fahrzeugentwicklung
Kordian Adam Komarek stellt einen neuen grundlegenden Ansatz vor, die Qualität von diagnostischen Messdaten in verteilten Systemen signifikant zu erhöhen. Kern dieses Verfahrens ist eine neue Methode, strukturelle und inhaltlichen Ähnlichkeiten von heterogenen Fahrzeugdiagnosedaten (ODX) inkrementell zu clustern (XCXS – XML document clustering with XEdge and weighted structure and content similarity). Am Beispiel eines prototypischen Remote-Diagnosesystems, mit dem Fokus auf die Fahrzeugentwicklung, werden diagnostische Fehler erstmalig identifizierbar gemacht. Analyse datengetriebener Off-Board-Diagnose-Systeme in der Entwicklung.- Verteilte Diagnosedaten im System.- Steuergeräteübergreifende multivariante Diagnosecluster mit Änderungsinformationen (XCXS Verfahren).- Grundlegender Ansatz zur Qualitätssteigerung der remote Fahrzeugdiagnose.
Retrospektive Diagnose von Fehlerursachen an Antriebsstrangprüfständen mithilfe künstlicher Intelligenz
Antriebsstrangprüfstände leisten einen signifikanten Beitrag im Fahrzeugentwicklungsprozess. Um diesen Vorteil weiter auszubauen, ist es notwendig, mit geeigneten Maßnahmen die Effektivität und Effizienz stetig zu steigern. Eine Maßnahme ist hierbei, die Abhängigkeit des Faktors Mensch bei Auftreten eines Fehlers am Prüfstand zu reduzieren. Um diesem Ziel einen großen Schritt näher zu kommen, wurde vorliegend eine KI-basierte Methodik entwickelt, mit deren Hilfe es möglich ist, die fehlerverursachende Komponente und den zugehörigen Fehlerzeitpunkt trotz der Wechselwirkung aufgrund der mechanischen Kopplung des Systems zu detektieren. Erhebung eines repräsentativen Forschungsdatensatzes.- Methoden zur Datenvorverarbeitung uni- und multivariater Zeitreihendaten.- Modellierung und Auswertung durch künstliche Intelligenz.- Anwendung und praktischer Nachweis.
Artificial Intelligence for Bone Disorder
ARTIFICIAL INTELLIGENCE FOR BONE DISORDERTHE AUTHORS HAVE PRODUCED AN INVALUABLE RESOURCE THAT CONNECTS THE FIELDS OF AI AND BONE TREATMENT BY PROVIDING ESSENTIAL INSIGHTS INTO THE CURRENT STATE AND FUTURE OF AI IN BONE CONDITION DIAGNOSIS AND THERAPY, AS WELL AS A METHODICAL EXAMINATION OF MACHINE LEARNING ALGORITHMS, DEEP LEARNING APPROACHES, AND THEIR REAL-WORLD USES.The book explores the use of artificial intelligence (AI) in the diagnosis and treatment of various bone illnesses. The integration of AI approaches in the fields of orthopedics, radiography, tissue engineering, and other areas related to bone are discussed in detail. It covers tissue engineering methods for bone regeneration and investigates the use of AI tools in this area, emphasizing the value of deep learning and how to use AI in tissue engineering efficiently. The book also covers diagnostic and prognostic uses of AI in orthopedics, such as the diagnosis of disorders involving the hip and knee as well as prognoses for therapies. Chapters also look at MRI, trabecular biomechanical strength, and other methods for diagnosing osteoporosis. Other issues the book examines include several uses of AI in pediatric orthopedics, 3D modeling, digital X-ray radiogrammetry, convolutional neural networks for customized care, and digital tomography. With information on the most recent developments and potential future applications, each chapter of the book advances our understanding of how AI might be used to diagnose and treat bone problems. AUDIENCEThis book will serve as a guide for orthopedic experts, biomedical engineers, faculty members, research scholars, IT specialists, healthcare workers, and hospital administrators. RISHABHA MALVIYA, PHD, is an associate professor in the Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University. He has authored more than 150 research/review papers for national/international journals. He has been granted more than 10 patents from different countries while a further 40 patents are published/under evaluation. He has edited multiple volumes for Wiley-Scrivener. SHIVAM RAJPUT completed his MPharm. at Galgotias University, Greater Noida, India. He is currently an assistant professor at IITM College of Pharmacy, Sonipat, Hariyana, India. His areas of research include nanoformulations, cancer nanomedicine, and green nanotechnology for therapeutic applications. MAKARAND VAIDYA completed his Master of Surgery in Orthopaedics from Hindu Rao Hospital, Delhi where he is currently a faculty member. He has had a distinguished academic career and has published many research papers and books. Foreword xiPreface xiii1 ARTIFICIAL INTELLIGENCE AND BONE FRACTURE DETECTION: AN UNEXPECTED ALLIANCE 11.1 Introduction 11.2 Bone Fracture 31.3 Deep Learning and Its Significance in Radiology 41.4 Role of AI in Bone Fracture Detection and Its Application 61.5 Primary Machine Learning-Based Algorithm in Bone Fracture Detection 91.6 Deep Learning-Based Techniques for Fracture Detection 131.7 Conclusion 182 INTEGRATING AI WITH TISSUE ENGINEERING: THE NEXT STEP IN BONE REGENERATION 252.1 Introduction 252.2 Anatomy and Biology of Bone 262.3 Bone Regeneration Mechanism 282.4 Understanding AI 352.5 Current AI Integration 392.6 Applying Deep Learning 422.7 Conclusion 463 DEEP SUPERVISED LEARNING ON RADIOLOGICAL IMAGES TO CLASSIFY BONE FRACTURES: A NOVEL APPROACH 593.1 Introduction 593.2 Common Bone Disorder 623.3 Deep Supervised Learning's Importance in Orthopedics and Radiology 633.4 Perspective From the Past 633.5 Essential Deep Learning Methods for Bone Imaging 653.6 Strategies for Effective Annotation 693.7 Application of Deep Learning to the Detection of Fractures 693.8 Conclusion 734 TREATMENT OF OSTEOPOROSIS AND THE USE OF DIGITAL HEALTH INTERVENTION 794.1 Introduction 794.2 Opportunistic Diagnosis of Osteoporosis 824.3 Predictive Models 854.4 Assessment of Fracture Risk and Osteoporosis Diagnosis by Digital Health 904.5 Clinical Decision Support Tools, Reminders, and Prompts for Spotting Osteoporosis in Digital Health Settings 914.6 The Role of Digital Health in Facilitating Patient Education, Decision, and Conversation 934.7 Conclusion 955 UTILIZING AI TO IMPROVE ORTHOPEDIC CARE 1055.1 Introduction 1055.2 What is AI? 1065.3 Introduction to Machine Learning: Algorithms and Applications 1095.4 Natural Language Processing 1145.5 The Internet of Things 1155.6 Prospective AI Advantages in Orthopedics 1165.7 Diagnostic Application of AI 1185.8 Prediction Application With AI 1215.9 Conclusion 1246 SIGNIFICANCE OF ARTIFICIAL INTELLIGENCE IN SPINAL DISORDER TREATMENT 1336.1 Introduction 1336.2 Machine Learning 1356.3 Methods Derived From Statistics 1376.4 Applications of Machine Learning in Spine Surgery 1436.5 Application of AI and ML in Spine Research 1476.6 Conclusion 1567 OSTEOPOROSIS BIOMARKER IDENTIFICATION AND USE OF MACHINE LEARNING IN OSTEOPOROSIS TREATMENT 1697.1 Introduction 1697.2 Biomarkers of Bone Development 1727.3 Biomarkers for Bone Resorption 1757.4 Regulators of Bone Turnover 1797.5 Methods to Identify Osteoporosis 1807.6 Conclusion 1878 THE ROLE OF AI IN PEDIATRIC ORTHOPEDICS 1978.1 Introduction 1978.2 Strategy Based on Artificial Intelligence 2008.3 Several Applications of Artificial Intelligence 2078.4 Conclusion 2129 USE OF ARTIFICIAL INTELLIGENCE IN IMAGING FOR BONE CANCER 2199.1 Introduction 2199.2 Applications of Machine Learning to Cancer Diagnosis 2239.3 Artificial Intelligence Methods for Diagnosing Bone Cancer 2269.4 Methodologies for Constructing Deep Learning Model 2279.5 Clinical Image Applications of Deep Learning for Bone Tumors 2299.6 Conclusion 236References 236Index 245
Tobias on Locks and Insecurity Engineering
A detailed analysis of how locks and physical security become vulnerable to attack Tobias on Locks and Insecurity Engineering: Understanding and Preventing Design Vulnerabilities in Locks, Safes, and Security Hardware is an essential roadmap for lock design and security personnel, and a must-read for design engineers, risk managers, law enforcement personnel, intelligence agencies, investigators, crime labs, and security and IT professionals. “Marc Weber Tobias is one of the rare minds in our industry who evaluates locks and consumer product security with the same meticulous philosophy that he applies to high-security government applications. Marc distills an encyclopedic understanding of access control into pragmatic advice for creating functional, secure devices. With decades of experience, Marc brings a comprehensive perspective that isn’t easily replicated for lock manufacturers. His expertise has been invaluable to our company for many years in increasing the security designs of our products.” —Tammy Davis, CEO, Videx, Inc. Corvallis, Oregon “Marc Tobias is a world-class security expert for locks. In my FBI career in foreign counterintelligence, every aspect of security was essential to understand and deal with. Marc and I have worked on many international cases, and his extensive knowledge of locks and security was crucial to our success. Our side needed the best security, but also to figure out how to defeat the opposition’s security measures. This book should be an invaluable asset for government agencies to understand the insecurity of locks and their vulnerabilities.” —Wayne A. Barnes, FBI Special Agent (Retired) 1971-2000. “What is made clear in Marc’s work is that he points out the methods and techniques to raise the integrity of our first line of defense: locks. Our specialty for those in a career in security protective engineering is to identify and apply the highest-grade containment to protect our companies. For security professionals who rely on high-security locks and allied systems, this is a valuable reference source for security and risk managers.” —Ted P. Barron, CPP Former ASIS Chapter Chair (San Francisco), Vice President of Wells Fargo Bank, and member of the UL Standards Technical Panel on Locks and Safes. “I have known Marc Tobias now for over 20 years and it is always fascinating to have intense discussions with him about lock security and lock design. I do not know any other person with such a high degree of expertise and knowledge, always keen to ensure that today’s locks are designed to state-of-the-art technology. I am looking forward to this new compendium of centenaries of lock engineering.” —Stefan Ehrlich-Adam, CEO EVVA-Group, Vienna, Austria A must-read exploration of lock and physical security from a renowned author and expert In Tobias on Locks and Insecurity Engineering, renowned investigative attorney and physical security expert Marc Weber Tobias delivers a comprehensive and insightful exploration of how locks are designed, built, and — ultimately — defeated by criminals, spies, hackers, and even lockpickers. In the book, you'll discover the myriad ways that security experts and bad actors have compromised physical locks using everything from the newest 3D printers to 99-cent ballpoint pens. The book explores the origins of different lock designs and the mistakes that design engineers make when they create new locks. It explains the countless ways that locks remain at risk for attack. The author explains the latest lock designs and technology, as well as how to assess whether a specific solution will work for you depending on your individual security requirements and use case. You'll also find: Ways to differentiate between fatally flawed locks and solid, secure optionsSeveral relevant and real-world case examples of catastrophic lock design failures that led to monetary loss, property damage, or bodily harmExaminations of lock security from the perspectives of forced entry, covert entry, and key-control An instructive and indispensable roadmap to locks and physical security, Tobias on Locks and Insecurity Engineering is the perfect guide for security and information technology professionals, design engineers, risk managers, law enforcement personnel, intelligence agents, regulators, policymakers, investigators, lawyers, and more. Foreword xxxiii Introduction xxxv Part I Locks, Safes, and Insecurity Engineering 1 Chapter 1 Insecurity Engineering and the Design of Locks 3 Chapter 2 Insecurity Engineering: A Lack of Expertise and Imagination 25 Chapter 3 Vulnerability Assessment in Lock Designs 49 Chapter 4 The 3T2R Rule for Assessing the Security of a Lock 67 Part II Legal and Regulatory Issues in Locks, Safes, and Security Systems 87 Chapter 5 Security Is All About Liability 89 Chapter 6 Legal Liability and Insecurity Engineering 103 Chapter 7 Standards for Locks and Safes 131 Chapter 8 Patents, Security, and the Protection of Intellectual Property 163 Chapter 9 Notification of Defects in Product Design 187 Chapter 10 Legal and Security Issues in Keying Systems 209 Part III Basic Designs and Technologies for Mechanical and Electronic Locks 231 Chapter 11 A Brief History of Lock Design and Development 233 Chapter 12 Industry Definitions 257 Chapter 13 Modern Locking Mechanisms: A Merging of Old and New Technology 279 Chapter 14 A Comparison of High-Security Lock Designs 317 Part IV Design and Insecure Engineering of Locks 339 Chapter 15 Attacks Against Locks: Then and Now 341 Chapter 16 An Overview: Vulnerability Analysis in Designs and Testing 379 Chapter 17 Destructive Attacks Against Locks and Related Hardware 395 Chapter 18 Covert Methods of Entry 417 Chapter 19 Attacks Against Electronic Locks 445 Chapter 20 Advanced Attacks Against High-Security Locks 459 Part V Attacks on Key Control and Special Keying Systems 475 Chapter 21 Attacking Keys and Keying Systems 477 Chapter 22 Advanced Attacks on Key Control: 3D Printers and Special Software 507 Chapter 23 Digital Fingerprints of Locks: Electronic Decoding Systems 523 Chapter 24 Code-Setting Keys: A Case Study of an Attack on High-Security Key Control 537 Part VI Specific Case Examples 545 Chapter 25 Case Examples from Part VII Rules 547 Chapter 26 Case Examples By Category 571 Part VII Design Rules, Axioms, and Principles 597 Chapter 27 Design Rules, Axioms, and Guidelines 599 Epilogue 625 Appendix A Patents Issued 627 Appendix B Trademark Listing 629 Index 633 MARC WEBER TOBIAS, J.D., is the author of eight law enforcement and security textbooks, including Locks, Safes, and Security: An International Police Reference. He has lectured extensively, worked for government agencies as an investigator and prosecutor involved in major crimes, and has consulted with the world’s largest lock manufacturers. He has been issued 30 U.S. patents.
Finden, Auswählen und Zuordnen
Filter, Datenbankfunktionen, SVerweis, XVerweis: Werkzeuge zum Finden und Weiterverarbeiten von Inhalten in Excel. Excel-Mappen enthalten oft sehr viele Informationen. Um sie auszuwerten, müssen die Datenbestände gefiltert und manchmal überhaupt erst passend gemacht werden.Dazu gibt es verschiedene Möglichkeiten, sowohl den bekannten Autofilter, der selten ganz ausgereizt wird, als auch den weniger bekannten Spezialfilter und die ganz neue Funktion FILTER(), deren Ergebnisse auch gleich sortiert ausgegeben werden können. Dazu Datenbankfunktionen und natürlich den SVERWEIS() mit seinem deutlich verbesserten Nachfolger XVERWEIS(), der die alten Grenzen praktisch pulverisiert. Alles wird an Beispieldateien besprochen und mit Vor- und Nachteilen erklärt.
Scrum Think big (2. Auflg.)
SCRUM THINK B!G //- Vor welchen Herausforderungen steht das Management großer Projekte?- Wie sinnvoll sind agile Skalierungsschablonen?- Welche Voraussetzungen sollten für eine erfolgreiche Skalierung erfüllt sein?- Welche Skills brauchen Mitarbeitende in agilen Projekten?- Wie wird aus einem Projekt eine fraktal skalierte Organisation?- Neu in der 2. Auflage: wie Sie den passenden Rahmen für die agile Skalierung in Ihrer Organisation abstecken, mögliche Entwicklungspfade sowie neue Beispiele und Aktualisierungen.In kleinen Teams hat sich Scrum als Weg für die erfolgreiche Produktentwicklung längst etabliert. Doch jetzt geht es um andere Dimensionen: Unter dem Druck der Digitalisierung wollen Unternehmen die Erfahrungen aus agilen Pilotprojekten auf immer größere Teile der Organisation übertragen. Agile Skalierungsframeworks versprechen schnelle und einfache Lösungen, doch diese vorgefertigten Strukturen führen nicht zum eigentlichen Ziel: dem agilen Unternehmen.Boris Gloger und Carsten Rasche beschreiben in diesem Buch einen anderen Weg, der auf Praxiserfahrungen basiert. Bei der Skalierung von Scrum geht es nicht um die Multiplikation einer Methode, sondern um einen neuen Blick auf das große Projekt als fraktal skalierte Organisation. Gefragt sind entkoppelte Produktarchitekturen, das konsequente Denken aus Sicht der Kunden, das Projektmanagement- Office als umsichtiger Scrum Master, die Lust auf frische Skills, gestützt durch moderne Infrastrukturen. Und schließlich braucht es eine Führung, die ihre wichtigste Aufgabe darin sieht, Zusammenarbeit über alle Ebenen hinweg zu ermöglichen.AUS DEM INHALT //- Die Umfeldbedingungen des Skalierens- Kommunikations- und Produktarchitektur- Die passende Infrastruktur- Skills und Professionalität- Produktentwicklung- myScaled Agile – Toolbox für die individuelle Skalierung- Führung und Werte als Grundlage der fraktal skalierten Organisation- Der Weg zur fraktal skalierten Organisation Boris Gloger ist in der DACH-Region der bekannteste Proponent von Agilität. Mit seinem Team der borisgloger consulting GmbH bringt er Agilität in namhafte nationale und internationale Unternehmen.Carsten Rasche ist Berater bei der borisgloger consulting GmbH und begleitet Business-Transformationen von der strategischen Planung bis zur praktischen Umsetzung.
Mensch und Informationssicherheit
- Den Menschen als wichtigen Sicherheitsfaktor in Unternehmen und Organisationen verstehen - Verhalten nachvollziehen und durch psychologisches Verständnis beeinflussen - Security Awareness-Kampagnen gestalten und Mitarbeitende effektiv sensibilisieren - Gefahren von Human Hacking (er)kennen - Informationssicherheitsmaßnehmen für (und nicht gegen) Menschen entwickeln - Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten Buches Der Mensch ist das größte Risiko für die Informationssicherheit in Unternehmen!“ Diese Aussage ist schädlich, wenn Mitarbeitende für Informationssicherheit sensibilisiert werden sollen. Tatsächlich sind Menschen ein wichtiger Sicherheitsfaktor. Sie sind Teil der Lösung und kein Problem! Das Buch stellt den Menschen in den Mittelpunkt und hilft zu verstehen, warum diese sich nicht immer „richtig“ verhalten. Häufig liegt es an zu starren Regeln, die nicht zu ihrem Arbeitsalltag passen – oder an der geschickten Manipulation durch Social Engineers. Um Mitarbeitende effektiv für Informationssicherheit zu sensibilisieren, hilft ein Blick in die Verhaltenspsychologie. Ein komplexes Zusammenspiel verschiedener Faktoren beeinflusst menschliches Handeln. Sind diese Faktoren bekannt, können sie zielgerichtet gefördert und beeinflusst werden: Mitarbeitende ändern ihre Einstellungen, sie erhöhen ihr Wissen, stärken ihr Selbstvertrauen, verbessern ihre Fähigkeiten, sie entwickeln sichere Gewohnheiten und sie erinnern sich im entscheidenden Moment an das „richtige“ Verhalten. Das Buch vermittelt Hintergrundwissen und zeigt anhand zahlreicher Beispiele, wie informationssichere Verhaltensweisen gefördert und gemessen werden können. AUS DEM INHALT // - Der Faktor Mensch in der Informationssicherheit: vom „Problem“ zur „Lösung“ - Der Mensch als Bedrohung: Insider Threats - Der Mensch als Opfer von Human Hacking - Verhaltensabsicht, Wissen, Gewohnheit und Salienz als Faktoren von Information Security Awareness - Information Security Awareness zielgerichtet fördern - Information Security Awareness bewerten und messen
Data Science Management
Data Science Management. Vom ersten Konzept bis zur Governance datengetriebener Organisation. (Januar 2024)Viele Data-Science-Vorhaben scheitern an organisatorischen Hürden: Oftmals ist die Rolle des Managements in diesen Projekten nicht klar definiert, zudem gibt es unterschiedliche Vorstellungen, wie gutes Projektmanagement für Data-Science-Produkte aussehen muss.Dieser praxisorientierte Leitfaden unterstützt Sie beim erfolgreichen Management von Data-Science-Projekten jeder Größe. Sie erfahren zunächst, wie Datenanalysen durchgeführt werden und welche Tools hierfür infrage kommen. Marcel Hebing und Martin Manhembué zeigen dann Wege auf, wie Sie Projekte entlang des Data-Science-Lifecycles planen und eine datengetriebene Organisationskultur implementieren. Dabei wird die Rolle von Data-Science-Managerinnen und -Managern im Kontext eines modernen Leaderships beleuchtet und der Aufbau von Datenanalyse-Teams beschrieben. Jeder Themenbereich wird ergänzt durch Hands-on-Kapitel, die Toolsets und Checklisten für die Umsetzung in die Praxis enthalten.Themen des Buchs:Data-Science-Grundlagen: Designen von Projekten, Datenformate und Datenbanken, Datenaufbereitung, Analysemethoden aus Statistik und Machine LearningManagement von Data-Science-Projekten: Grundlagen des Projektmanagements, typische Fallstricke, Rolle und Aufgaben des Managements, Data-Science-Teams, Servant und Agile Leadership, Kommunikation mit StakeholdernInfrastruktur und Architektur: Automatisierung, IT-Infrastruktur, Data-Science-Architekturen, DevOps und MLOpsGovernance und Data-driven Culture: Digitale Transformation, Implementierung von Data Science im Unternehmen, Sicherheit und Datenschutz, New Work, RecruitingLeseprobe (PDF-Link)