Computer und IT
Künstliche Intelligenz im Consulting
Dieses Buch befasst sich mit den aktuellen und zukünftigen Einflüssen von künstlicher Intelligenz auf die Branche und den Beruf der Unternehmensberatung. Im Fokus stehen dabei die Möglichkeiten der Delegation von Aufgaben an KI-Anwendungen sowie die Auswirkungen von KI auf die Anforderungen und Tätigkeiten in der Beratung. Abgerundet wird die Darstellung durch konkrete Handlungsempfehlungen für heutige und zukünftige Berater im Hinblick auf den eigenen Umgang und die Positionierung im Themenfeld KI. Der Inhalt KI-Grundlagen für UnternehmensberaterAuswirkungen von KI auf den Beruf und die Branche der UnternehmensberatungHandlungsempfehlungen für Unternehmensberater für den Umgang mit KI Die Zielgruppe Heutige und zukünftige Unternehmensberater Die Autoren Prof. Dr. Markus H. Dahm (MBA) ist Berater für Strategie und Digitale Transformation. Ferner lehrt und forscht er an der FOM Hochschule für Oekonomie & Management in den Themenfeldern künstliche Intelligenz, Business Consulting und agile Organisationsgestaltung. Er publiziert regelmäßig in wissenschaftlichen Fachmagazinen, Blogs und Online-Magazinen sowie der Wirtschaftspresse. Er ist Autor und Herausgeber zahlreicher Bücher. Benedikt Schulz (M.Sc.) ist Unternehmensberater und Digitalisierungsexperte mit einem starken thematischen Fokus auf die Welt der künstlichen Intelligenz. Neben seiner Tätigkeit für ein Schweizer Beratungs- und Softwareunternehmen forscht und publiziert er im Themenfeld der KI und beschäftigt sich insbesondere mit den Auswirkungen von künstlicher Intelligenz auf die Arbeitswelt. Dieses Buch befasst sich mit den aktuellen und zukünftigen Einflüssen von künstlicher Intelligenz auf die Branche und den Beruf der Unternehmensberatung. Im Fokus stehen dabei die Möglichkeiten der Delegation von Aufgaben an KI-Anwendungen sowie die Auswirkungen von KI auf die Anforderungen und Tätigkeiten in der Beratung. Abgerundet wird die Darstellung durch konkrete Handlungsempfehlungen für heutige und zukünftige Berater im Hinblick auf den eigenen Umgang und die Positionierung im Themenfeld KI. Prof. Dr. Markus H. Dahm (MBA) ist Berater für Strategie und Digitale Transformation. Ferner lehrt und forscht er an der FOM Hochschule für Oekonomie & Management in den Themenfeldern künstliche Intelligenz, Business Consulting und agile Organisationsgestaltung. Er publiziert regelmäßig in wissenschaftlichen Fachmagazinen, Blogs und Online-Magazinen sowie der Wirtschaftspresse. Er ist Autor und Herausgeber zahlreicher Bücher. Benedikt Schulz (M.Sc.) ist Unternehmensberater und Digitalisierungsexperte mit einem starken thematischen Fokus auf die Welt der künstlichen Intelligenz. Neben seiner Tätigkeit für ein Schweizer Beratungs- und Softwareunternehmen forscht und publiziert er im Themenfeld der KI und beschäftigt sich insbesondere mit den Auswirkungen von künstlicher Intelligenz auf die Arbeitswelt.
Privacy in the Age of Innovation
This book will help you comprehend the impact of artificial intelligence (AI) on information security, data privacy, and data security.The book starts by explaining the basics and setting the goals for a complete understanding of how AI, Information Security, Data Privacy, and Data Security all connect. Then, it gives you important information about the basics of AI, machine learning, and deep learning in simple terms. It also talks about the ethics of using AI in privacy and security, making sure you understand the power and responsibility that come with AI. Next, it takes you through the complex world of information security and data privacy. It covers everything from the current state of security to how AI can detect threats and protect privacy. Additionally, it delves into ethical considerations to ensure the responsible use of AI in managing data privacy. Later chapters discuss strategies and future trends in using AI for data security, finding the right balance between security and privacy, and giving useful advice for organizations.In the end, this book examines the current landscape and foresees the future, underscoring the vital importance of maintaining a balance between innovation and privacy in AI-powered security.What you will learn:* How AI is being used to detect and prevent cyberattacks in real-time* What are the AI-powered techniques for anonymizing and de-identifying data,* What are the latest advancements in AI-powered privacy-enhancing technologies (PETs)* How to find the right balance between security and privacyWho this book is for:Information security professionals, data scientists, and software developers seeking to gain an understanding of the latest trends and techniques in AI for information securityRANADEEP REDDY PALLE has over 12 years of experience and specializes in the development of distributed and scalable Microservices. His proficiency extends to deploying these Microservices on major cloud platforms like AWS and Azure, always prioritizing strict adherence to privacy and cybersecurity standards. Ranadeep has contributed extensively to journals, particularly in critical domains such as machine learning, AI, Cloud Computing, and data analytics. Holding diverse certifications in both Amazon Web Services (AWS) and Microsoft Azure, he currently serves as a Senior Software Engineer at Zoom in Austin, TX. In this role, he leads a team in implementing cutting-edge solutions and plays a crucial part in the design and development of Microservices for Consent Management, ensuring compliance with global privacy regulations. Ranadeep holds a Master's degree in Computer Science from the University of Houston, Texas.KRISHNA CHAITANYA RAO KATHALA is a prominent researcher in the field of Data Science, Analytics, Machine Learning, and AI, a Ph.D Candidate at the University of Massachusetts Amherst. With over 8 years of specialized experience in AI, Krishna's expertise covers a wide range of topics within Artificial Intelligence, including Generative AI, Ethics, Bias, Fairness, and Safe/Secure AI. He is a prolific scholar, having co-authored 2 books and secured more than 5 international patents. Additionally, Krishna has authored over 8 research papers published in prestigious journals. His influence in the academic and professional realms is widespread, often serving as a judge at more than 10 national and international events, including research symposiums and hackathons. Krishna also contributes actively to the academic community through roles on editorial boards, reviews, and program committees at various conferences. Krishna's merit in the field has led to invitations to speak at distinguished international forums such as the United Nations, the Ministry of Foreign Affairs Ukraine, UNESCO, UNDP, United Nations Women, the Office of the United Nations High Commissioner for Human Rights, and the Talent AI Foundation. His research excellence has been recognized with numerous significant awards and scholarships, highlighting his impactful contributions to AI and technology. He currently holds a leadership position as a Co-Chair at the Northeastern Educational Research Association, Inc., based in Boston, Massachusetts.Krishna is also an active member of the International Society for Technology in Education (ISTE) and the International Association of Engineers - Hong Kong. Beyond his research and professional activities, Krishna is deeply committed to mentoring, particularly focused on supporting first-generation, under-represented, and marginalized students in STEM fields. His dedication to fostering inclusivity and diversity within the tech community underscores his commitment to using his expertise to make a positive societal impact. Krishna holds a Masters degree in Data Science from University of Massachusetts Amherst.1. INTRODUCTION.- 2. UNDERSTANDING AI AND ETHICS.- 3. INFORMATION SECURITY AND DATA PRIVACY LANDSCAPE.- 4. AI FOR THREAT DETECTION AND PREVENTION.- 5. PRIVACY-PRESERVING AI TECHNIQUES.- 6. DATA PROTECTION AND COMPLIANCE.- 7. SECURING AI MODELS.- 8. CASE STUDIES.- 9. AI IN DATA PRIVACY AND ETHICS.- 10. AI AND DATA SECURITY.- 11. BALANCE BETWEEN SECURITY AND PRIVACY.- 12. BEST PRACTICES AND RECOMMENDATIONS.- 13. FUTURE TRENDS AND CHALLENGES.
Generative Artificial Intelligence
This book explains the field of Generative Artificial Intelligence (AI), focusing on its potential and applications, and aims to provide you with an understanding of the underlying principles, techniques, and practical use cases of Generative AI models.The book begins with an introduction to the foundations of Generative AI, including an overview of the field, its evolution, and its significance in today’s AI landscape. It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. A chapter covering text-to-video generation provides insights into synthesizing videos from textual descriptions, opening up new possibilities for creative content generation. A chapter covers generative audio models and prompt-to-audio synthesis using Text-to-Speech (TTS) techniques. Then the book switch gears to dive into generative text models, exploring the concepts of Large Language Models (LLMs), natural language generation (NLG), fine-tuning, prompt tuning, and reinforcement learning. The book explores techniques for fixing LLMs and making them grounded and indestructible, along with practical applications in enterprise-grade applications such as question answering, summarization, and knowledge-based generation.By the end of this book, you will understand Generative text, and audio and visual models, and have the knowledge and tools necessary to harness the creative and transformative capabilities of Generative AI.WHAT YOU WILL LEARN* What is Generative Artificial Intelligence?* What are text-to-image synthesis techniques and conditional image generation?* What is prompt-to-audio synthesis using Text-to-Speech (TTS) techniques?* What are text-to-video models and how do you tune them?* What are large language models, and how do you tune them?WHO THIS BOOK IS FORThose with intermediate to advanced technical knowledge in artificial intelligence and machine learningSHIVAM SOLANKI is an accomplished Senior Advisory Data Scientist leading the AI team for a worldwide partner ecosystem to solve challenging problems using Artificial Intelligence (AI). Shivam holds a master’s degree from Texas A&M University with major coursework in Applied Statistics. Throughout his career, he has delved into various AI fields, including Machine Learning, Deep Learning, and Natural Language Processing (NLP). His expertise extends to Generative AI, where his practical experience and in-depth knowledge empower him to navigate its intricacies. As a researcher in Artificial Intelligence, Shivam has filed two patents for Machine Learning and Natural Language Processing (NLP), co-authored a book on Deep Learning, and published a paper in Generative AI.DRUPAD KHUBLANI is a skilled Senior Data Scientist and part of the revenue management team in a real estate company. His leadership in partnering with teams across marketing, call center operations, product management, customer experience, and operations has cultivated a wealth of experience, empowering him to extract actionable insights and co-create innovative solutions Drupad completed his graduate and postgraduate studies from the Indian Institute of Technology (Indian School of Mines) and Texas A&M University. Collaborating with Dr. Jean-Francois Chamberland on the development of technology to identify obstacles and gauge distances using only a monocular camera highlights Drupad's inventive approach and dedication to real-world applications, alongside his accomplishments in both the commercial and academic arenas.Chapter 1: Introduction to Generative AI.- Chapter 2: Text-to-Image Generation.- Chapter 3: From Script to Screen: Unveiling Text-to-Video Generation .- Chapter 4: Bridging Text and Audio in Generative AI.- Chapter 5: Introduction to Language Models (LLMs).- Chapter 6: Generative LLMs.- Chapter 7: Advanced Techniques for LLMs.- Chapter 8: Building Demo Applications using LLMs.- Chapter 9: Enterprise-Grade Apps using LLMs.
Decentralized Systems and Distributed Computing
THIS BOOK PROVIDES A COMPREHENSIVE EXPLORATION OF NEXT-GENERATION INTERNET, DISTRIBUTED SYSTEMS, AND DISTRIBUTED COMPUTING, OFFERING VALUABLE INSIGHTS INTO THEIR IMPACT ON SOCIETY AND THE FUTURE OF TECHNOLOGY.The use of distributed systems is a big step forward in IT and computer science. As the number of tasks that depend on each other grows, a single machine can no longer handle all of them. Distributed computing is better than traditional computer settings in several ways. Distributed systems reduce the risks of a single point of failure, making them more reliable and able to handle mistakes. Most modern distributed systems are made to be scalable, which means that processing power can be added on the fly to improve performance. The internet of the future is meant to give us freedom and choices, encourage diversity and decentralization, and make it easier for people to be creative and do research. By making the internet more three-dimensional and immersive, the metaverse could introduce more ways to use it. Some people have expressed negative things about the metaverse, and there is much uncertainty regarding its future. Analysts in the field have pondered if the metaverse will differ much from our current digital experiences, and if so, whether people will be willing to spend hours per day exploring virtual space while wearing a headset. This book will look at the different aspects of the next-generation internet, distributed systems, distributed computing, and their effects on society as a whole. SANDHYA AVASTHI, PHD, is an assistant professor in the Computer Science and Engineering Department at ABES Engineering College, Dr. Abdul Kalam Technical University, Ghaziabad, India. She has more than 17 years of teaching experience and is an active researcher in the field of machine learning and data mining. She has published numerous research articles in international journals, conference proceedings, and book chapters. She is associated as senior member the Institute of Electrical and Electronics Engineers and the Association for Computing Machinery and is continuously involved in different professional activities along with academic work. SUMAN LATA TRIPATHI, PHD, is a professor at Lovely Professional University with more than 17 years of experience in academics. She has published more than 89 research papers, as well as 13 Indian patents and 4 copyrights. She has organized several workshops, summer internships, and expert lectures for students and has worked as a session chair, conference steering committee member, editorial board member, and peer reviewer in national and international journals and conferences. She has edited and authored more than 14 books and one book series in different areas of electronics and electrical engineering. NAMRATA DHANDA, PHD, is a professor in the Department of Computer Science and Engineering at Amity University, Uttar Pradesh, Lucknow. She has over 21 years of experience teaching graduate and post-graduate students. Currently, she is guiding a large number of PhD scholars working in the domains of machine learning, data science, and big data analytics. Additionally, she has more than 50 papers published in reputed journals, national and international conferences, and book chapters. SATYA BHUSHAN VERMA, PHD, is working as an associate professor and head of the Department of Computer Science and Engineering, Institute of Technology in Shri Ramswaroop Memorial University Lucknow-Deva Road, India. He has five years of teaching experience at the undergraduate and post graduate levels, as well as research experience. Additionally, he has been actively involved in a number of international committees as an abstract reviewer, workshop reviewer, and panel reviewer and has published several research papers in various journals, conferences, and symposia of national and international recognition. Preface xix1 INTRODUCTION TO NEXT-GENERATION INTERNET AND DISTRIBUTED SYSTEMS 1Swapnil Gupta, Rajat Verma and Namrata Dhanda1.1 Introduction 21.2 Traditional Network 41.3 Next-Generation Internet 51.4 Network Middleware 81.5 Software-Defined Network (SDN) 91.6 Edge Cloud-Based Next-Generation Internet 111.7 Network Architecture 131.8 Security and Safety 201.9 Distributed Systems 201.10 Distributed System Design 221.11 Distributed System Monitoring 231.12 Security in Distributed Systems 251.13 Blockchain and Distributed Systems 251.14 Blockchain-Based Distributed Control Systems 271.15 Blockchain for Distributed System Security 291.16 Conclusion and Future Scope 302 DECENTRALIZED SYSTEM IN EDUCATION AND RESEARCH 35Prashant Verma, Deepaks M. Ratnani, Shikha Verma and Sandhya Avasthi2.1 Introduction 362.2 History of Decentralization in the Education System 382.3 Advantages and Challenges of Decentralization of the Education System 392.4 Impact of Decentralization in Education and Research 422.5 Current Approaches 442.6 Development Trend Towards Education and Research 462.7 Future Scope and Recommendations 472.8 Conclusion 483 ARCHITECTURE OF BLOCKCHAIN-ENABLED DECENTRALIZED SYSTEMS 53Rohit Kumar, Sandhya Avasthi and Suman Lata Tripathi3.1 Introduction 543.2 What is a Decentralized System? 543.3 Blockchain 573.4 Smart Contracts and Its Examples 593.5 Blockchain-Enabled Decentralized System 603.6 Architecture for the Blockchain-Enabled Decentralized System 643.7 Decentralized Todo App with Blockchain 673.8 Blockchain-Enabled Decentralized System Development and Challenges 713.9 Future of the Blockchain-Enabled Decentralized System 723.10 Conclusion 734 MOBILE EDGE COMPUTING FOR DECENTRALIZED SYSTEMS 75Swati Gupta and Puneet Garg4.1 Introduction 764.2 Edge Computing 794.3 Benefits of Edge Computing 814.4 Classification of Attacks in a 5G IoT System 834.5 Decentralized Dynamic Computation Offloading Method 844.6 Conclusion 855 BLOCKCHAIN IN EDUCATION 89Shahnaz Fatima and Guru Dev Singh5.1 Introduction 895.2 Benefits of Blockchain in Education 915.3 Challenges of Blockchain in Education 995.4 Use Cases of Blockchain in Education 1065.5 Conclusion 1106 PATTERN RECOGNITION APPLICATIONS IN DISTRIBUTED SYSTEMS AND DISTRIBUTED MACHINE LEARNING 117Kalyani S., Swarup K. S., Sandhya Avasthi and Tanushree Sanwal6.1 Introduction 1186.2 Data Generation and Preprocessing 1206.3 Feature Selection 1216.4 Design of Classifier 1306.5 Designing Machine Learning Models for Distributed Environment 1386.6 Role of Distributed Computing in Pattern Recognition 1396.7 Conclusion 1417 NEXT-GENERATION DISTRIBUTED COMPUTING FOR CANCER DETECTION 145Kapil Kumar Gupta, Namrata Dhanda and Neeraj Kumar7.1 Introduction 1467.2 Research Motivation 1477.3 Cancer Statistics 1487.4 Modern Cancer Diagnosis and Treatment Methods 1497.5 Methodology 1527.6 Technical Challenges 1537.7 Future Directions 1547.8 Conclusion 1568 BENEFITS AND CHALLENGES OF DECENTRALIZATION IN EDUCATION FOR RESOURCE OPTIMIZATION AND IMPROVED PERFORMANCE 163Ankita Singh, Shobhit Sinha, Satya Bhushan Verma and Bipin Kumar Singh8.1 Introduction 1648.2 The Centralization and Decentralization Concepts 1678.3 Decentralized Systems in Education and Research: Policies and Practices 1698.4 Building Capacity Across and Between Levels Within Education Systems 1748.5 Developing Accountability Measures and Systems in Implementing a Decentralized Education Policy 1758.6 Developing Local-Level Capacity Across All Education System Levels and Sectors 1768.7 Education Policies in India to Achieve Decentralization in Education Systems 1788.8 Research and Development Policies in India and Promoting Decentralization in R&D 1809 BLOCKCHAIN IN DATA SECURITY AND TRANSPARENCY IN BUSINESS TRANSACTIONS 189Rajat Verma and Namrata Dhanda9.1 Introduction 1909.2 Dimensions and Requirements of Data Security 1919.3 Security Issues in Conventional Data Security 1939.4 Diversity of Attacks in Conventional Data Security 1959.5 Blockchain: The Complete Solution 1969.6 The Decentralized and Immutable Approach 1989.7 Comparison of ECC and RSA 1999.8 Digital Signature Algorithm 2009.9 Blockchain Technology Ensures Transparency 2019.10 Blockchain Solutions for Traditional Data Security 2019.11 Blockchain Types 2039.12 Conclusion 20510 A COMPARATIVE STUDY OF AD HOC AND WIRELESS SENSOR NETWORKS 215Ankita Kumari and Ajita Pathak10.1 Introduction 21510.2 Ad Hoc Network 21710.3 Wireless Sensor and Network 22110.4 Challenges, Applications, and Limitations 22510.5 Conclusion 22611 CONTENT FILTERING-BASED MOVIE RECOMMENDATION SYSTEM USING DEEP LEARNING 229Atul Srivastava and Abhi Raj Singh11.1 Introduction 23011.2 Related Work 23211.3 Method and Material 23511.4 Experiments and Results 23611.5 Possible Extension of Proposed Model into Distributed Environment 23911.6 Conclusion 24012 MOBILE EDGE COMPUTING: A PARADIGM SHIFT IN COMPUTING 243Priti Kumari, Vandana Dubey, Parmeet Kaur and Sarika Shrivastava12.1 Introduction 24312.2 Why is MEC Important? 24512.3 Background 24612.4 Characteristics 24712.5 Reference Architecture 24812.6 Mobile Edge Computing Key Enablers 25312.7 Advantages of Mobile Edge Computing 25412.8 Potential Research Directions 25512.9 Challenges and Issues 25712.10 Conclusion 25913 DESCRIPTIVE ANALYSIS OF THE POTENTIAL OF 5G TECHNOLOGIES IN EMPOWERING DECENTRALIZED SYSTEMS 263Megha Agarwal, Shahnawaz Alam, Dewansh, Avni Singh and Snehil Singh13.1 Introduction 26413.2 Building 5G Network 26713.3 Blockchain on 5G Networks 26813.4 Real-World Impact of 5G 26913.5 Future of 5G 27313.6 Limitations 27414 MERGING BLOCKCHAIN AND DEEP LEARNING FOR AUTHENTICATION AND SECURITY ARCHITECTURES 277Abhay Kumar Yadav and Satya Bhushan Verma14.1 Introduction 27814.2 Merger of Blockchain and DL 27914.3 Application of Blockchain-Based DL Models 28314.4 Study of Existing Integrated Models 28614.5 Challenges and Issues 28814.6 Conclusion 28915 5G EMBEDDED DECENTRALIZED SYSTEMS FOR SECURE AND EFFICIENT DATA SHARING 295Asjad Suhail Akhtar, Garima Srivastava, Shikha Singh and Sachin Kumar15.1 Overview of Decentralized Systems 29515.2 5G Technology 30015.3 5G for Decentralized Systems 30515.4 Use Cases and Applications 31015.5 Challenges and Opportunities 31215.6 Conclusion 31416 ARTIFICIAL INTELLIGENCE IN A DISTRIBUTED SYSTEM OF THE FUTURE 317Kadambri Agarwal, Ojasw Khare, Aastha Sharma, Ayushi Prakash and Abhishek Kumar Shukla16.1 Introduction 31816.2 AI in the Industrial Sector 31916.3 AI in the Economic Sector 32216.4 Environment Sector 32416.5 Robotics Skill 32516.6 Interaction Between the Human and the Machine 32816.7 Recent Projects in AI 32916.8 Terminologies Regarding AI for the Next Generation 33016.9 Real-Time Project and Future Implementation 33216.10 Conclusion 33317 THE METAVERSE AND MENTAL HEALTH: THE FUTURE 337Vandana Yadav and Namrata Dhanda17.1 Introduction 33817.2 How Has Technology and the Internet Already Impacted Mental Health? 33917.3 Importance of Researching the Metaverse's Effects on Mental Health 34117.4 Potential Positive Mental Health Effects of the Metaverse 34217.5 Possible Detrimental Effects of the Metaverse on Mental Health 34517.6 Considerations for Designing the Metaverse with Mental Health in Mind 34817.7 The Future of Mental Health and Metaverse 34917.8 Conclusion 35118 DECENTRALIZATION IN EDUCATION GOVERNANCE: A CASE STUDY OF INDIA 355Mani Dublish and Anita Pati Mishra18.1 Introduction 35618.2 Central Organizations 35718.3 Decentralized Systems 35918.4 Distributed Systems 36018.5 Use of a Distributed Database in the Education System 36318.6 Decentralized Education and Contemporary Solution 36418.7 Conclusion 368References 369Index 371
Digital Presences of Organizations
Organizations communicate in complex and various ways, and the context is mainly characterized by the pervasiveness of the digital ecosystem, including the Web, social networks and the Internet of data. However, its information delivery cannot overlook the requirements of multicultural communications at a variety of levels.Digital Presences of Organizations highlights the communication roadblocks faced by organizations as they emerge, arising not only from issues encountered on their own websites, but also as they construct online narratives. This multi-faceted and multi-strategy digital presence of organizations is addressed via three main thematic axes.The first focuses on differentiated strategies (content, services, interaction) that can be observed depending on the types of organizations and their users. The second examines the cultural dimension of websites, ranging from the local to the global. Finally, the third focuses on the role of narration in organizations' online communication strategies.NATHALIE PINÈDE is Professor of Information and Communication Sciences at Bordeaux Montaigne University, France.LUC MASSOU is Professor of Information and Communication Sciences at the University of Lorraine, France.PATRICK MPONDO-DICKA is a lecturer in Information and Communication Sciences at the University of Toulouse – Jean-Jaurès, France.Foreword xiiiPeter STOCKINGERIntroduction xviiNathalie PINÈDE, Luc MASSOU and Patrick MPONDO-DICKAPART 1. WEBSITES AND ORGANIZATIONAL STRATEGIES 1CHAPTER 1. WEBSITES AND THE AGENCY OF CIRCULATING ENTITIES 3Mariannig LE BÉCHEC1.1. Introduction 31.2. From website analysis to website network analysis 41.3. The concept of digital territories of brands 71.4. Conclusion 161.5. References 16CHAPTER 2. DANONE'S "DID YOU KNOW?": NARRATIVE STRATEGY AND IDENTITY DIALOGUE 21Stela RAYTCHEVA, Thierry CÔME and Gilles ROUET2.1. Introduction 212.2. Culture, strategy and narratives 232.3. Danone: storytelling of a culture 292.4. Danone's history and the use of the "Did you know?" insets on Facebook 412.5. A coherent communication strategy 452.6. Conclusion 472.7. References 49CHAPTER 3. WEBSITE AND MEDIA ETHOS: A CASE STUDY OF PHOTOGRAPHIC EQUIPMENT MANUFACTURERS 51Marion ROLLANDIN3.1. Introduction 513.2. The communication situation induced by a photographic equipment manufacturer's website 533.3. Initiating the photographic equipment manufacturer's media ethos 593.4. Media ethos and discursive strategy 633.5. Media ethos and audience segmentation 733.6. Conclusion 803.7. References 82CHAPTER 4. ANALYSES OF DIGITAL COMMUNICATION STRATEGIES FOR FAMILY CAREGIVERS 83Sébastien ROUQUETTE and Christelle CHAUZAL-LARGUIER4.1. Introduction 834.2. Methodology 854.3. Analytical corpus 874.4. The central position of websites in digital communication strategies 904.5. Websites: advantages for associative actors 944.6 Conclusion 1054.7. Appendix 1074.8. References 109CHAPTER 5. ASSOCIATIONS' ONLINE COMMUNICATION AND DISCURSIVE STRATEGIES: A CASE STUDY. 111Marcy Delsione OVOUNDAGA5.1. Introduction 1115.2. Theoretical framework 1135.3. Methodological approach 1145.4. Digital social media at the heart of organizations' new communication strategy 1185.5. Online discursive strategies at the heart of associations' social marketing 1225.6. Conclusion 1355.7. References 136PART 2. WEBSITES AND CULTURAL DYNAMICS 139CHAPTER 6. WEBSITE LOCALIZATION AND THE CULTURAL DIMENSION: PROFESSIONAL SKILLS 141Alexander FRAME and Will NOONAN6.1. Introduction 1416.2. Field-testing cultural localization: from words to action 1436.3. From (intercultural) communication to localization services 1516.4. Attempts and experiments for a complex, non-essentialist approach to cultural localization 1556.5. Conclusion 1636.6. References 165CHAPTER 7. REPRESENTATIVITY OF INDIGENOUS MINORITIES AND CULTURAL IDENTITY ON THE WEB 171Cécile-Marie MARTIN7.1. Introduction 1717.2. "Indigenous minorities", a terminology to designate without discriminating 1727.3. Web access routes for indigenous minorities 1787.4. Access strategies, from consultation to contribution 1867.5. Conclusion 1937.6. References 193CHAPTER 8. CULTURAL AND POLITICAL ANCHORS OF ENVIRONMENTAL COMMUNICATION ON THE WEB 199Sandra MELLOT, Anh Ngoc HOANG, Magali PRODHOMME and Anaïs THEVIOT8.1. Introduction 1998.2. Methodological approach: analysis of the ecological ethos in a digital regime 2028.3. Ethos of action (Greenpeace) 2088.4. Ethos of the will (WWF) 2118.5. Ethos of justice (L'Affaire du Siècle) 2148.6. Ethos of belief 2188.7. Structuring an ecological homonoia on the Web: emergency, praise and blame 2238.8. Conclusion 2278.9. References 228CHAPTER 9. COVID-19 AND DIGITAL FUNDRAISING: ACTORS, STRATEGIES AND PERSPECTIVES 231Géraud AHOUANDJINOU, Ornheilia ZOUNON, Agnès BADOU and Ismène KPÉDJO9.1. Introduction 2319.2. Theoretical and methodological framework 2339.3. Results and discussion 2469.4. Conclusion 2579.5. References 258Part 3. Communication of Organizations and Online Narrative 261CHAPTER 10. COMMUNICATING THROUGH NARRATIVE: ORGANIZATIONS FACING THE CHALLENGE OF THEIR COLLECTIVE DIMENSION? 263Julien FALGAS10.1. Introduction 26310.2. Defining the act of narrating by the storytelling, narration and story triad 26410.3. Application to the Web page analysis: the analysis framework of the manufacturing of representations 26910.4. From the manufacturing of the narration to a critique of the narrative communication of organizations on digital social networking sites 28010.5. Conclusion 28310.6. References 285CHAPTER 11. TRANSMEDIA AND ONLINE STORYTELLING: FROM EPHEMERAL UNIVERSES TO ARCHIVES 289Mélanie BOURDAA11.1. Introduction 28911.2. New term, old creations: a quick historical overview 29111.3. Evolutionary transmedia websites: a progression of and in storytelling 29311.4. Apps and social media: an engaging transmedia strategy 29911.5. Fans' archives: preserving ephemeral devices 30311.6. Conclusion 30511.7. References 306CHAPTER 12. AUGMENTED STORYTELLING AND NETFLIX SERIES PROMOTION STRATEGY 309Frédéric AUBRUN and Thomas BIHAY12.1. Introduction 30912.2. Augmented storytelling from explicit, implicit and zero textures 31212.3. Unadvertization of promotional discourse of series 31612.4. Conclusion 32212.5. References 325List of Authors 327Index 331
Game Development with Unreal Engine 5 Volume 1
Dive into the heart of game development with Unreal Engine 5 (UE5), the latest revolution in creating immersive and visually stunning game worlds. Crafted to encourage your imaginative and inventive skills, Volume 1 of this two-part guide stands as a crucial tool in your journey towards developing incredible video games with UE5 and serves as a transition into the programming dimensions of game creation with C++ featured in Volume 2.Blending artistic mastery with technical prowess, you’ll journey from the basics of UE5’s environment to creating expansive landscapes with procedural content generation and combining materials for lifelike terrains. Discover the power of Quixel Bridge and Megascans to bring realistic textures and models into your projects, and master Nanite for rendering complex scenes with cinematic fidelity.You’ll also learn to create dynamic lighting and shadow effects with Lumen, enrich your game’s atmosphere with sophisticated particle systems using Niagara. Then integrate characters and adversaries into our worlds, making them come alive with interactive elements. From designing large open landscapes to implementing advanced visual effects, _Game Development with UE 5, Volume 1 _is your gateway to elevating the visual appeal and interactive experience of your game.WHAT YOU WILL LEARN* Sculpt vast, open worlds with UE5's advanced landscape tools and Heightmaps.* Construct highly detailed environments with Nanite, achieving unparalleled visual quality without sacrificing performance.* Introduce dynamic global illumination with Lumen, crafting stunning lighting and shadow effects that respond to changes in the game world in real-time.* Implement Real-Time Virtual Textures to significantly enhance texture streaming efficiency in large-scale environments.* Use Procedural Content Graph to populate your game worlds with dynamic, lifelike vegetation that adds depth and realism to your landscapes.* Explore Niagara's powerful visual effects system to create complex and captivating effects that elevate the aesthetic appeal of your game.WHO THIS BOOK IS FORGame developers who want to learn how to use Unreal Engine 5 would benefit from this book.Dr. Tiow Wee Tan is an Associate Professor at Department of Game Department, Inland Norway University of Applied Science (INN), Norway. He is also serves as the Course Co-ordinator for the Augmented and Virtual Reality Add-On Program at the Game School.Tiow Wee's interests revolve around the development of Extended Reality (XR) for cross-disciplinary enterprise application. He was actively participated in projects on Neural Networks and Artificial Intelligent (AI) for gaming. Some of his works focus on the utilization of AR & VR technology within games engine; the creation of hybrid version of AR and VR research application for healthcare, art, and tourism; and the exploration of cognitive aspects in human-computer interaction environments, integrated into neural network systems.Chapter 1. Getting Started with Unreal Engine 5.- Chapter 2. From Heightmap to Large Open World Landscape.- Chapter 3.- Auto-Blend Landscape Materials.- Chapter 4. Revitalizing Visuals: Asset Import and Procedural Creation.- Chapter 5. Enhancing Visual Realism with Realtime Virtual Textures and Material Blending.- Chapter 6. Mastering Lumen Global Illumination in Unreal Engine 5.- Chapter 7. Harnessing the Power of Niagara: Practical Examples in Unreal Engine 5.
Deep Reinforcement Learning with Python
Gain a theoretical understanding to the most popular libraries in deep reinforcement learning (deep RL). This new edition focuses on the latest advances in deep RL using a learn-by-coding approach, allowing readers to assimilate and replicate the latest research in this field.New agent environments ranging from games, and robotics to finance are explained to help you try different ways to apply reinforcement learning. A chapter on multi-agent reinforcement learning covers how multiple agents compete, while another chapter focuses on the widely used deep RL algorithm, proximal policy optimization (PPO). You'll see how reinforcement learning with human feedback (RLHF) has been used by chatbots, built using Large Language Models, e.g. ChatGPT to improve conversational capabilities.You'll also review the steps for using the code on multiple cloud systems and deploying models on platforms such as Hugging Face Hub. The code is in Jupyter Notebook, which canbe run on Google Colab, and other similar deep learning cloud platforms, allowing you to tailor the code to your own needs.Whether it’s for applications in gaming, robotics, or Generative AI, Deep Reinforcement Learning with Python will help keep you ahead of the curve.WHAT YOU'LL LEARN* Explore Python-based RL libraries, including StableBaselines3 and CleanRL * Work with diverse RL environments like Gymnasium, Pybullet, and Unity ML* Understand instruction finetuning of Large Language Models using RLHF and PPO* Study training and optimization techniques using HuggingFace, Weights and Biases, and Optuna WHO THIS BOOK IS FORSoftware engineers and machine learning developers eager to sharpen their understanding of deep RL and acquire practical skills in implementing RL algorithms fromscratch.Nimish is a seasoned entrepreneur and an angel investor, with a rich portfolio of tech ventures in SaaS Software and Automation with AI across India, the US and Singapore. He has over 30 years of work experience. Nimish ventured into entrepreneurship in 2006 after holding leadership roles at global corporations like PwC, IBM, and Oracle.Nimish holds an MBA from Indian Institute of Management, Ahmedabad, India (IIMA), and a Bachelor of Technology in Electrical Engineering from Indian Institute of Technology, Kanpur, India (IITK).Chapter 1: Introduction to Reinforcement Learning.- Chapter 2: The Foundation – Markov Decision Processes.- Chapter 3: Model Based Approaches.- Chapter 4: Model Free Approaches.- Chapter 5: Function Approximation and Deep Reinforcement Learning.- Chapter 6: Deep Q-Learning (DQN).- Chapter 7: Improvements to DQN.- Chapter 8: Policy Gradient Algorithms.- Chapter 9: Combining Policy Gradient and Q-Learning.- Chapter 10: Integrated Planning and Learning.- Chapter 11: Proximal Policy Optimization (PPO) and RLHF.- Chapter 12: Introduction to Multi Agent RL (MARL).- Chapter 13: Additional Topics and Recent Advances.
Exact and Approximate Solutions for Mathematical Models in Science and Engineering
On Spectroscopy of Sampled Signals Using the Hilbert Transform (Bodmann).- Approximation of Solution for Bending of an Elastic Plate: Interior vs Exterior Cases (Constanda).- A PDE method for modelling the soil temperature of cropfields with data fromWireless Sensor Networks (Fresneda-Portillo).- Extreme cases in boundary homogenization for the linear elasticity system (Perez-Martinez).- A Model of the Spread of a Disease Through a Population With Different Age Groups (Harris).- A survey on the boundary behavior of the double layer potential in Schauder spaces in the frame of an abstract approach (Cristoforis).- The Dirichlet Problem on Rough Domains and Herz Spaces (Mitrea).- Analytical Solution of Slug Low SalinityWaterflooding (Pires).- PN synthetic acceleration for the source iteration scheme in slab-geometry discrete ordinates transport calculations (Barros).- Dynamic iteration error analysis (Zubik-Kowal).
Algorithmen kapieren (2. Auflg.)
Algorithmen kapieren ohne graue TheorieAb sofort sind Algorithmen nicht mehr langweilig und trocken! Mit diesem Buch wird es dir Spaß machen und leichtfallen, ihre Funktionsweise zu verstehen. Alle Algorithmen werden mithilfe von Beispielen aus dem täglichen Leben erläutert, z.B. der Unterschied zwischen Arrays und verketteten Listen anhand der Aufgabe, freie Plätze in einem Kinosaal zu finden.Für den Einsatz in der PraxisDu lernst die wichtigsten Algorithmen kennen, um deine Programme zu beschleunigen, deinen Code zu vereinfachen und die gängigsten Aufgaben bei der Programmierung zu lösen. Dabei beginnst du mit einfachen Aufgaben wie Sortieren und Suchen. Mit diesen Grundlagen gerüstet kannst du auch schwierigere Aufgaben wie Datenkomprimierung oder Künstliche Intelligenz in Angriff nehmen.Visuell und praxisnahZu allen Erläuterungen findest du anschauliche Bilder und Diagramme sowie ausführlich kommentierten Beispielcode in Python. Übungsaufgaben mit Lösungen für jedes Kapitel helfen dir, dein Wissen zu testen und zu festigen.Aus dem Inhalt:Such-, Sortier- und GraphenalgorithmenPerformance von Algorithmen analysieren (Landau-Notation)Arrays, verkettete Listen und HashtabellenBäume und balancierte BäumeRekursion und StacksQuicksort und das Teile-und-herrsche-VerfahrenDijkstra-Algorithmus für die Ermittlung des kürzesten PfadsApproximationsalgorithmen und NP-vollständige ProblemeGreedy-AlgorithmenDynamische ProgrammierungKlassifikation und Regression mit dem k-Nächste-Nachbarn-AlgorithmusÜber den Autor:Aditya Bhargava ist Softwareentwickler, der sich nicht nur mit Informatik, sondern auch mit bildender Kunst befasst. Er bloggt über Programmierung unter adit.io.Leseprobe (PDF-Link)
Praxisbuch ISO/IEC 27001 (5. Auflg.)
Informationen sind das wertvollste Kapital vieler Organisationen. Geraten sie in falsche Hände, kann sogar das Überleben eines Unternehmens gefährdet sein. Zur Informationssicherheit müssen alle ihren Beitrag leisten, von der Arbeitsebene bis zum Topmanagement. Die ISO / IEC 27001 stellt dabei die wichtigste internationale Norm dar, an der man praktisch in keiner Branche vorbeikommt. Ein dieser Norm entsprechendes Informationssicherheitsmanagementsystem (ISMS) ist zunehmend Voraussetzung für die Erfüllung von Kunden-Anforderungen sowie von gesetzlichen und behördlichen Vorgaben, u. a. im Rahmen des IT-Sicherheitsgesetzes.In diesem Buch erhalten Sie die optimale Unterstützung für den Aufbau eines wirksamen ISMS. Die Autoren vermitteln zunächst das notwendige Basiswissen zur ISO / IEC 27001 sowie zur übergeordneten Normenreihe und erklären anschaulich die Grundlagen. Im Hauptteil finden Sie alle wesentlichen Teile der deutschen Fassung der Norm, DIN EN ISO / IEC 27001, im Wortlaut. Hilfreiche Erläuterungen, wertvolle Praxistipps für Maßnahmen und Auditnachweise helfen Ihnen bei der Umsetzung der Norm. Ebenfalls enthalten sind Prüfungsfragen und -antworten, mit deren Hilfe Sie sich optimal auf Ihre persönliche Foundation-Zertifizierung vorbereiten können. Das Buch schließt mit einem Abdruck der kompletten Norm DIN EN ISO/ IEC 27001:2024.Aus dem Inhalt:Einführung und BasiswissenDie Standardfamilie ISO / IEC 27000 im ÜberblickGrundlagen von InformationssicherheitsmanagementsystemenISO / IEC 27001Spezifikationen und MindestanforderungenMaßnahmen im Rahmen des ISMSVerwandte Standards und RahmenwerkeZertifizierungsmöglichkeiten und Begriffsbildung nach ISO/ IEC 27000Abdruck der vollständigen DIN EN ISO / IEC 27001:2024Vergleich der Normenfassungen von 2017 und 2024Prüfungsfragen mit Antworten zur ISO / IEC 27000 FoundationDie Autoren:Michael Brenner, Nils gentschen Felde, Wolfgang Hommel, Stefan Metzger, Helmut Reiser und Thomas Schaaf arbeiten u. a. an der Ludwig-Maximilians-Universität München, der Universität der Bundeswehr München und am Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften. Als Mitglieder der Forschungsgruppe Munich Network Management Team (www.mnmteam.org) forschen und lehren sie alle zu den Themen Informationssicherheitsmanagement und IT-Service-Management.Leseprobe (PDF-Link)
300 Keywords Generative KI
Von A wie Alignment bis Z wie Zensur: Dieses Nachschlagewerk bietet in mehr als 300 Einträgen einen Überblick über das Thema der generativen KI. Es klärt zahlreiche Fachbegriffe, stellt Anwendungsbereiche vor und diskutiert aktuelle Fragestellungen. Dabei spielen neben technischen und wirtschaftlichen Fragen insbesondere ethische und ästhetische eine Rolle. So wird nach der Schönheit von Artefakten gefragt, es wird die Stellung von Bildern zwischen Kunst und Kitsch ausgeleuchtet, und es wird eine Bias-Diskussion zu Text- und Bildgeneratoren geführt. Insgesamt steht der Nutzen der generativen KI im Vordergrund, und die Freude und Lust, sie zu benutzen. Das Buch richtet sich an ein breites Publikum, etwa Journalisten, Politiker und Bürger, aber auch an Wissenschaftler aller Bereiche.
The Responsibility Process
Nicht nur für die Arbeit als Scrum Master und Agile Coach, sondern für alle LebensbereicheWie erkennen wir unsere mentalen Denkmuster, die beeinflussen, wie wir mit Verantwortung umgehen, Entscheidungen treffen und Leadership zeigen?Der Autor zeigt mit »The Responsibility Process™« den Weg und die Zwischenschritte auf, um wirkungsvoll in die Verantwortung zu gehen. Sein Modell beschreibt die uns innewohnenden Verhaltensmuster, mit denen wir auf ein Problem reagieren. Dabei durchlaufen wir zunächst die Stufen »Beschuldigen«, »Rechtfertigen«, »Schämen« und »Verpflichtung«, bevor in der letzten Stufe »Verantwortung« das Problem wirklich angenommen und effektiv gelöst wird.Dieses Buch gibt dir konkrete Werkzeuge, Praktiken und Leadership-Weisheiten an die Hand, mit denen du lernst, diesen Prozess bewusst einzusetzen, um dir selbst und anderen kraft- und wirkungsvolles Handeln zu ermöglichen.Die 2. Auflage der deutschen Ausgabe wurde durch das Thema »Responsibility Journal« erweitert und mit Anwendungsfällen aus der Praxis ergänzt.Leseprobe (PDF-Link)
Algorithmen kapieren
* VISUELLE ERLÄUTERUNGEN MIT ÜBER 400 ANSCHAULICHEN ILLUSTRATIONEN* MIT EINFACHEN BEISPIELEN AUS DEM ALLTAG UND ZAHLREICHEN ÜBUNGEN* AUSFÜHRLICH KOMMENTIERTER BEISPIELCODE IN PYTHONALGORITHMEN KAPIEREN OHNE GRAUE THEORIEAb sofort sind Algorithmen nicht mehr langweilig und trocken! Mit diesem Buch wird es dir leichtfallen, ihre Funktionsweise zu verstehen. Alle Algorithmen werden mithilfe von Beispielen aus dem täglichen Leben erläutert, z.B. der Unterschied zwischen Arrays und verketteten Listen anhand der Aufgabe, freie Plätze in einem Kinosaal zu finden.FÜR DEN EINSATZ IN DER PRAXISDu lernst die wichtigsten Algorithmen kennen, die dir dabei helfen, deine Programme zu beschleunigen, deinen Code zu vereinfachen und die gängigsten Aufgaben bei der Programmierung zu lösen. Dabei beginnst du mit einfachen Aufgaben wie Sortieren und Suchen. Mit diesen Grundlagen gerüstet kannst du auch schwierigere Aufgaben wie Datenkomprimierung oder künstliche Intelligenz in Angriff nehmen.VISUELL UND PRAXISNAHZu allen Erläuterungen findest du anschauliche Illustrationen und Diagramme sowie ausführlich kommentierten Beispielcode in Python. Übungsaufgaben mit Lösungen für jedes Kapitel helfen dir, dein Wissen zu testen und zu festigen.AUS DEM INHALT:* Such-, Sortier- und Graphenalgorithmen* Performance von Algorithmen analysieren (Landau-Notation)* Arrays, verkettete Listen und Hashtabellen* Bäume und balancierte Bäume* Rekursion und Stacks* Quicksort und das Teile-und-herrsche-Verfahren* Dijkstra-Algorithmus für die Ermittlung des kürzesten Pfads* Approximationsalgorithmen und NP-vollständige Probleme* Greedy-Algorithmen* Dynamische Programmierung* Klassifikation und Regression mit dem k-Nächste-Nachbarn-AlgorithmusSTIMMEN ZUM BUCH»Das Buch schafft das Unmögliche: Mathe macht Spaß und ist einfach.« (- Sander Rossel, COAS Software Systems)»Algorithmen sind nicht langweilig! Die Lektüre des Buchs hat mir und meinen Studenten Spaß gemacht und war lehrreich.« (- Christopher Haupt, Mobirobo, Inc.)»Heutzutage gibt es praktisch keinen Aspekt des Lebens, der nicht durch einen Algorithmus optimiert wird. Dieses Buch sollte Ihre erste Wahl sein, wenn Sie eine gut erklärte Einführung in dieses Thema suchen.« (- Amit Lamba, Tech Overture, LLC)Aditya Bhargava ist Softwareentwickler und beschäftigt sich nicht nur mit Informatik, sondern auch mit bildender Kunst. Er bloggt über Programmierung unter adit.io.
DevSecOps Adventures
Discover a groundbreaking approach to introducing DevSecOps. _DevSecOps Adventures_ uses three innovative games to help you to maximize engagement in your training and transform learners’ mindsets, turning even reluctant sceptics into supporters and advocates of the DevOps culture.The book’s first coaching game uses LEGO, Chocolate, and role cards to explore the roles and interdependencies of Dev, Ops, and Security. Readers will experience Aha! moments, expand their individual roles, develop T-shaped skills, and experiment with changing organizational culture. The simulations depict an end-to-end product delivery process, highlighting bottlenecks in the value delivery flow. Additionally, the book is updated with two new games, "Fear in the Workplace" and "Safety in the Workplace" which provide insights into safety culture, drawing inspiration from the works of Ron Westrum, William Kahn, Amy C. Edmondson, and Dr. David Rock. Through open conversations, participants learn to identify signs of a fear-ridden culture and apply safety-enhancing practices to foster a culture of experimentation and learning.This Second Edition is enhanced with real-life examples and includes the insights from important State of DevOps reports. The updated “Key Takeaway” chapter and the new FAQ chapter prepare trainers to deliver an impactful learning experience. It serves as a facilitation guide for gamified experiential learning, provides ideas for effective debriefing, and helps readers relate the issues highlighted in the coaching games to similar challenges they may face in their organizations.WHAT YOU WILL LEARN:* Gain fundamental understanding of DevOps, DevSecOps, and Safety Culture.* Develop the capability to prepare, facilitate, and effectively debrief these coaching games with your teams.* Showcase how playfulness can help teams bring down a "wall of confusion" between the different functional silos. WHO THIS BOOK IS FORProgrammers or system admins/project managers who are new to DevOps.DevOps trainers and Agile Coaches who are interested in offering a collaborative and engaging learning experience to their teams.DANA PYLAYEVA is a business games designer, trainer and DevOps Culture coach, who is known for infusing playfulness into the most serious workplaces. She offers a unique blend of expert-level knowledge, exceptional facilitation skills, professional coaching mindset, and a diverse technical background as a former Java Developer, DBA Manager and Application Architect.Dana is equally effective in coaching teams, coaching leaders, and navigating the complexity of enterprise transformations. She enjoys working with clients across diverse industries such as legal publishing, automotive, digital marketing, retail, fintech, music streaming, non-profits, etc. In her 25+ years of experience, she has collaborated with clients from the US, Canada, the UK, Ireland, France, India, Japan, Malaysia, and Australia. She speaks at conferences internationally and has led workshops at 80 conferences in 18 countries.Dana holds a Certified Enterprise Coach (CEC) designation from Scrum Alliance, Professional Certified Coach (PCC) credentials from the International Coaching Federation (ICF), and a Certified Professional Co-Active Coach (CPCC) certification from Co-Active Training Institute.Dana is passionate about helping others grow and supporting the Agile/Scrum community. Through the years, she has been involved in various community roles as a volunteer, reviewer, track chair, program chair and conference chair at Agile Alliance and Scrum Alliance organizations. She is the founder of the Big Apple Scrum Day conference in NYC, and a co-organizer of several local user groups.1. Introduction.- 2. About this Book.- 3. Brief History of DevOps and DevSecOps.- 4. What You Will Teach with LEGO and Chocolate Simulation.- 5. LEGO and Chocolate - Rules of the Game.- 6. Game Components.- 7. Setting the Space.- 8. Know Your Timebox.- 9. Be a Gamemaster.- 10. Fear in the Workplace Game.- 11. Safety in the Workplace Coaching Game.- 12. Master Your Debriefing.- 13. Key Takeaways.- 14. Frequently Asked Questions.- 15. Play History and Modifications - It's All About the Feedback!- 16. Kickstarting Transformations with Games - Field Stories.- Appendix.
Pro Spring Boot 3
This book will teach you how to build complex Spring applications and microservices out of the box, with minimal concern over things like configurations. Pro Spring Boot 3 will show you how to fully leverage Spring Boot 3's robust features and how to apply them to create enterprise-ready applications, microservices, and web/cloud applications that just work.Special focus is given to what's been added in the new Spring Boot 3 release, including support for Java 17 and 19; changes to Spring Security; Spring Boot Actuator with Micrometer updates; GraalVM support; RSocket service interfaces; many dependency upgrades; more flexible support for Spring Data JDBC, the new AOT (Ahead-of-Time Transformation); and much more.This book is your authoritative, pragmatic guide for increasing your enterprise Java and cloud application productivity while decreasing development time. It's a no-nonsense reference packed with casestudies that increase in complexity over the course of the book. The author, a senior solutions architect and Principal Technical instructor with VMware, the company behind the Spring Framework, shares his experience, insights, and firsthand knowledge about how Spring Boot technology works and best practices for getting the most out of it.This is an essential book for your Spring learning and reference library.WHAT YOU WILL LEARN* Build web/cloud, microservices, and enterprise applications with the Spring Boot 3 framework* Persist data with JDBC, JPA, and NoSQL databases* Message with JMS, RabbitMQ, WebSockets, and RSocket* Gain a review of Spring Cloud projects* Extend Spring Boot by creating your own Spring Boot Starter and @Enable feature* Test and deploy with Spring Boot with best practices* Understand the new AOT (Ahead-Of-Time Transformations) and the GraalVM support to go native* Use the latest version of Spring SecurityWHO THIS BOOK IS FORExperienced Spring and Java developers seeking increased productivity gains and decreased complexity and development time in their applications and software services.FELIPE GUTIERREZ is a solutions software architect with bachelor’s and master’s degrees in computer science from Instituto Tecnologico y de Estudios Superiores de Monterrey Campus Ciudad de Mexico. Felipe has over 25 years of IT experience and has developed programs for companies in multiple vertical industries, such as government, retail, healthcare, education, and banking. He is currently working as Staff Engineer for VMware, specializing in content development for Tanzu Learning and the new Spring Academy learning site, Spring Framework, Spring Cloud Native Applications, Groovy, and RabbitMQ, among other technologies. He has also worked as a solutions architect for big companies like Nokia, Apple, Redbox, IBM, and Qualcomm. He is the author of Spring Boot Messaging (Apress, 2017) and Spring Cloud Data Flow (Apress, 2020).1. Spring Boot - Quick Start.- 2. Spring Boot - Internals.- 3. Spring Boot - Web Development.- 4. Spring Boot – SQL Data Access.- 5. Spring Data with Spring Boot.- 6. Spring Data NoSQL with Spring Boot.-7. Spring Boot Reactive.- 8. Spring Boot Testing.- 9. Spring Boot Security.- 10. Messaging with Spring Boot.-11. Spring Boot Actuator.- 12. Spring Boot Native and AOT.- 13. Spring Cloud with Spring Boot.- 14. Extending Spring Boot.- 15. Spring Boot New Projects.- Appendix A. Spring Boot Migration.- Appendix B. Spring Boot GraphQL.
Augmented Reality and Virtual Reality in Special Education
DISCOVER THE GROUNDBREAKING POTENTIAL OF AUGMENTED REALITY IN SPECIAL EDUCATION WITH THIS COMPREHENSIVE BOOK, WHICH FILLS A SIGNIFICANT RESEARCH GAP AND EXPLORES THE TRANSFORMATIVE IMPACT OF AR/VR ON TEACHING AND LEARNING EXPERIENCES FOR INDIVIDUALS WITH DISABILITIES.Millions of young people across the world have impairments. Because of their apparent problems, these young people have typically been marginalized or excluded from schools. Studies on augmented reality applications in education for special children are still in their early stages and there is a dearth of research on the effects and implications of augmented reality in education for special children or individuals with special needs, such as intellectual disabilities, autism spectrum disorder, attention deficit hyperactivity disorder, and physical disabilities. Technological advancements have enabled the creation of whole new learning environments, vastly expanding the breadth and sophistication of teaching and learning activities. For example, several studies have shown that virtual reality and augmented reality can help autistic people understand facial emotions and improve their social skills. By compiling a collection of conceptual and research chapters investigating the infiltration of AR/VR into teaching and learning practices and experiences for disabled people, this book will fill a significant gap in current research literature. V. AJANTHA DEVI, PhD is a research head at AP3 Solutions, Chennai, Tamil Nadu, India. She is a Microsoft Certified Application Developer (MCAD) and Microsoft Certified Technical Specialist (MCTS) with more than 35 papers in international journals and conference proceedings to her credit. She has written, co-authored, and edited several books in the field of computer and has five Australian patents and one Indian patent to her credit in the areas of artificial intelligence, image processing, and medical imaging. WILLIAMJEET SINGH, PhD is an assistant professor in the Department of Computer Science and Engineering at Punjabi University, Patiala, Punjab, India. He has over 12 years of teaching and research experience and is the author of many research papers and articles published in national and international journals and conferences of repute. He is working on techno-social projects, one of which was awarded to him by the Department of Science and Technology (DST), New Delhi, India. Most recently, his work includes developing a mobile app for hearing-impaired individuals called World of Indian Sign Language. YOGESH KUMAR, PhD is an associate professor in the Department of Computer Engineering, Indus University, Ahmedabad, Gujarat. He has more than 14 years of experience in research and teaching. He has published ten papers, six book chapters, 12 papers in international conferences, 28 articles in peer-reviewed journals, and has been granted four patents. Preface xiii1 Digital Learning Environments--Constructing Augmented and Virtual Reality in Educational Applications 1Kapil Mehta and Chamkaur Singh2 Role of AR and VR Technology in Transforming Education Ecology 33Gagandeep Kaur, Harpreet Kaur, Sonia Goyal, Veerpal Kaur and Prabhleen Kaur3 Enhancing Social Skills Development Through Augmented Reality (AR) and Virtual Reality (VR) in Special Education 65Ajantha Devi Vairamani4 Immersive Learning's Promise: The Educational Potential of Augmented and Virtual Reality 91Priya Trivedi5 Influence of Augmented Reality and Virtual Reality in Special Education in India 103Ravichandran K.6 Exploring the Untapped Potential of the Metaverse in Special Education: A Comprehensive Analysis of Applications and AI Integration 121K. B. Priya Iyer and Ajantha Devi Vairamani7 Fostering and Integrating Augmented Reality/Virtual Reality Experiences for Learners with Autism Spectrum Disorders (ASDs) 141Usha Nandhini R. and P. Senthamizh Pavai8 Impact of AR/VR in the Learning Process of Children with Dyslexia 161C.V. Suresh Babu and Vinutha S.9 Immersive Experience in the Education of Special Kids Using the Metaverse Platform 189Magesh Kasthuri10 Privacy and Security Concerns with Augmented Reality/Virtual Reality: A Systematic Review 209Sukhpreet Kaur, Saumya Rajvanshi and Gurleen KaurAcknowledgement 228Conflict of Interest Statement 228References 228Index 233
Bio-Inspired Optimization for Medical Data Mining
THIS BOOK IS A COMPREHENSIVE EXPLORATION OF BIO-INSPIRED OPTIMIZATION TECHNIQUES AND THEIR POTENTIAL APPLICATIONS IN HEALTHCARE.Bio-Inspired Optimization for Medical Data Mining is a groundbreaking book that delves into the convergence of nature’s ingenious algorithms and cutting-edge healthcare technology. Through a comprehensive exploration of state-of-the-art algorithms and practical case studies, readers gain unparalleled insights into optimizing medical data processing, enabling more precise diagnosis, optimizing treatment plans, and ultimately advancing the field of healthcare. Organized into 15 chapters, readers learn about the theoretical foundation of pragmatic implementation strategies and actionable advice. In addition, it addresses current developments in molecular subtyping and how they can enhance clinical care. By bridging the gap between cutting-edge technology and critical healthcare challenges, this book is a pivotal contribution, providing a roadmap for leveraging nature-inspired algorithms. In this book, the reader will discover* Cutting-edge bio-inspired algorithms designed to optimize medical data processing, providing efficient and accurate solutions for complex healthcare challenges;* How bio-inspired optimization can fine-tune diagnostic accuracy, leading to better patient outcomes and improved medical decision-making;* How bio-inspired optimization propels healthcare into a new era, unlocking transformative solutions for medical data analysis;* Practical insights and actionable advice on implementing bio-inspired optimization techniques and equipping effective real-world medical data scenarios;* Compelling case studies illustrating how bio-inspired optimization has made a significant impact in the medical field, inspiring similar success stories. AUDIENCEThis book is designed for a wide-ranging audience, including medical professionals, healthcare researchers, data scientists, and technology enthusiasts. SUMIT SRIVASTAVA, PHD, is the director of Information Technology at Manipal University, Jaipur, India. He obtained his doctorate in data mining from the University of Rajasthan, India. His areas of research involve algorithms, data science, knowledge, and engineering education. He has published more than 70 research papers in review journals.ABHINEET ANAND, PHD, is a professor in computer science and engineering at Chandigarh University, Mohali, Punjab. He is also the director of the institution. His research includes artificial intelligence, machine learning, cloud computing, optical fiber, etc. He has published in various international journals and conferences, along with four book chapters.ABHISHEK KUMAR, PHD, is an associate professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India, and is affiliated with the University of Castilla-La Mancha (UCLM), Toledo, Spain. His research areas include artificial intelligence, renewable energy, image processing, and machine learning. In total, he has more than 100 publications in peer-reviewed journals. Kumar is a keynote speaker and a member of various national and international societies in the field of engineering and research. He was awarded the CV Ramen National Award in 2018 in the young researcher and faculty category.BHAVNA SAINI, PHD, is an assistant professor at Central University, Rajasthan, India. His areas of research include face recognition and fingerprint recognition, data management systems, machine learning, and computer vision. He has numerous books and research papers at national and international levels.PRAMOD SINGH RATHORE is an assistant professor in the Department of Computer and Communication Engineering, Manipal University Jaipur, India. He has teaching experience of more than 10 years and has 45 publications in peer-reviewed national and international journals.Preface xv1 BIOINSPIRED ALGORITHMS: OPPORTUNITIES AND CHALLENGES 1Shweta Agarwal, Neetu Rani and Amit Vajpayee1.1 Introduction 21.2 Bioinspired Principles and Algorithms 31.3 Opportunities of Bioinspired Algorithms 71.4 Challenges of Bioinspired Algorithms 91.5 Prominent Bioinspired Algorithms 121.6 Applications of Bioinspired Algorithms 181.7 Future Research Directions 211.8 Conclusion 232 EVALUATION OF PHYTOCHEMICAL SCREENING AND IN VITRO ANTIUROLITHIATIC ACTIVITY OF MYRISTICA FRAGRANS BY TITRIMETRY METHOD USING MACHINE LEARNING 31G. Lalitha, S. Surya and M.P. Karthikeyan2.1 Introduction 322.2 Methodology 332.3 Result and Discussion 352.4 Conclusion 383 PARKINSON'S DISEASE DETECTION USING VOICE AND SPEECH--SYSTEMATIC LITERATURE REVIEW 41Ronak Khatwad, Suyash Tiwari, Yash Tripathi, Ajay Nehra and Ashish Sharma3.1 Introduction 423.2 Research Questions 433.3 Method 443.4 Algorithms 603.5 Features 633.6 Conclusion 674 TUMOR DETECTION AND CLASSIFICATION 75Hermehar P.S. Bedi, Sukhpreet Kaur and Saumya Rajvanshi4.1 Introduction 764.2 Methods Used for Detection of Tumors 774.3 Methods Used for Classification of Tumours 804.4 Machine Learning 844.5 Deep Learning (DL) 894.6 Performance Metrics 954.7 Method Wise Trend of Using Techniques for Detection of Brain Tumor 974.8 Conclusion 975 ADVANCEMENTS IN TUMOR DETECTION AND CLASSIFICATION 103Mayank Puri, Aman Garg and Lekha Rani5.1 Introduction 1045.2 Imaging Techniques Used in Tumor Detection and Classification 1055.3 Molecular Biology Techniques 1115.4 Machine Learning and Artificial Intelligence 1155.5 Tumor Classification 1215.6 Challenges and Future Directions 1256 CLASSIFICATION OF BRAIN TUMOR USING MACHINE LEARNING TECHNIQUES: A COMPARATIVE STUDY 129Gandla Shivakanth, Bhaskar Marapelli, A. Shivakumar Reddy, Dasari Manasa and Samtha Konda6.1 Introduction 1306.2 Related Work 1316.3 Datasets 1326.4 Experimental Setup 1336.5 Results and Discussion 1346.6 Conclusion 1367 EXPLORING THE POTENTIAL OF DINGO OPTIMIZER: A PROMISING NEW METAHEURISTIC APPROACH 141Anju Yadav and Vivek Kumar Varma7.1 Introduction 1417.2 Architecture of Dingo Optimizer 1427.3 Initialization Process 1447.4 Iteration Phase 1487.6 Other Optimization Techniques 1507.7 Conclusion 1518 BIOINSPIRED GENETIC ALGORITHM IN MEDICAL APPLICATIONS 155Krati Taksali, Arpit Kumar Sharma and Manish Rai8.1 Introduction 1568.2 The Genetic Algorithm 1578.3 Radiology 1588.4 Oncology 1608.5 Endocrinology 1618.6 Obstetrics and Gynecology 1628.7 Pediatrics 1628.8 Surgery 1638.9 Infectious Diseases 1648.10 Radiotherapy 1648.11 Rehabilitation Medicine 1658.12 Neurology 1658.13 Health Care Management 1668.14 Conclusion 1669 ARTIFICIAL IMMUNE SYSTEM ALGORITHMS FOR OPTIMIZING NANOPARTICLE DESIGN IN TARGETED DRUG DELIVERY 169Ashish Kumar and Vivek Verma9.1 Introduction 1709.2 Artificial Immune Cells 1719.3 The Artificial Immune System Architecture 17210 DIABETIC RETINOPATHY DETECTION BY RETINAL BLOOD VESSEL SEGMENTATION AND CLASSIFICATION USING ENSEMBLE MODEL 185Gandla Shivakanth, K. Aruna Bhaskar, Bechoo Lal, A. Shivakumar Reddy and D. Manasa10.1 Introduction 18610.2 Literature Review 18710.3 Proposed System 18810.4 Conclusion and Future Scope 19811 DIABETES PROGNOSIS MODEL USING VARIOUS MACHINE LEARNING TECHNIQUES 201Pawan Kumar Patidar, Manish Bhardwaj and Sumit Kumar11.1 Introduction 20211.2 Literature Review 20911.3 Proposed Model 21111.4 Experimental Results and Discussion 21311.5 Conclusion 22212 DIAGNOSIS OF NEUROLOGICAL DISEASE USING BIOINSPIRED ALGORITHMS 227Inam Ul Haq12.1 Introduction 22812.2 Neurological Disease Diagnosis 24412.3 Challenges and Future Directions 26012.4 Conclusion 26413 OPTIMIZING ARTIFICIAL NEURAL-NETWORK USING GENETIC ALGORITHM 269Bhavy Pratap and Sulabh Bansal13.1 Introduction 27013.2 Methodology 27813.3 Brief Study on Existing Implementations 28313.4 Comparative Study on Different Implementations 28514 BIOINSPIRED APPLICATIONS IN THE MEDICAL INDUSTRY: A CASE STUDY 289Alankrita Aggarwal and Mohit Lalit14.1 Introduction 29014.2 Overview of Bioinspired Algorithms 29114.3 Applications of Bioinspired Algorithms in Medical Field 29614.4 Review of the Case Studies 29714.5 Case Study 29714.6 Some Examples of the Case Studies Related to Medical Field and Can Be Solved with Bioinspired Algorithms 30014.7 Future Directions and Recommendations for Future Research 30214.8 Conclusion and Summary of Findings 306References 307Index 309
Praxisbuch ISO/IEC 27001
- Das umfassende Praxisbuch zum Management der Informationssicherheit- Enthält die vollständige Norm DIN EN ISO/IEC 27001:2024- Unentbehrlich für Betreiber kritischer Infrastrukturen (-> IT-Sicherheitsgesetz)- Mit 80 Prüfungsfragen zur Vorbereitung auf die Foundation-Zertifizierung- Ihr exklusiver Vorteil: E-Book inside beim Kauf des gedruckten BuchesInformationen sind das wertvollste Kapital vieler Organisationen. Geraten sie in falsche Hände, kann sogar das Überleben eines Unternehmens gefährdet sein. Zur Informationssicherheit müssen alle ihren Beitrag leisten, von der Arbeitsebene bis zum Topmanagement. Die ISO / IEC 27001 stellt dabei die wichtigste internationale Norm dar, an der man praktisch in keiner Branche vorbeikommt. Ein dieser Norm entsprechendes Informationssicherheitsmanagementsystem (ISMS) ist zunehmend Voraussetzung für die Erfüllung von Kunden-Anforderungen sowie von gesetzlichen und behördlichen Vorgaben, u. a. im Rahmen des IT-Sicherheitsgesetzes.In diesem Buch erhalten Sie die optimale Unterstützung für den Aufbau eines wirksamen ISMS. Die Autoren vermitteln zunächst das notwendige Basiswissen zur ISO / IEC 27001 sowie zur übergeordneten Normenreihe und erklären anschaulich die Grundlagen. Im Hauptteil finden Sie alle wesentlichen Teile der deutschen Fassung der Norm, DIN EN ISO / IEC 27001, im Wortlaut. Hilfreiche Erläuterungen, wertvolle Praxistipps für Maßnahmen und Auditnachweise helfen Ihnen bei der Umsetzung der Norm. Ebenfalls enthalten sind Prüfungsfragen und -antworten, mit deren Hilfe Sie sich optimal auf Ihre persönliche Foundation-Zertifizierung vorbereiten können. Das Buch schließt mit einem Abdruck der kompletten Norm DIN EN ISO/ IEC 27001:2024.Die Autoren: Michael Brenner, Nils gentschen Felde, Wolfgang Hommel, Stefan Metzger, Helmut Reiser und Thomas Schaaf arbeiten u. a. an der Ludwig-Maximilians-Universität München, der Universität der Bundeswehr München und am Leibniz-Rechenzentrum der Bayerischen Akademie der Wissenschaften. Als Mitglieder der Forschungsgruppe Munich Network Management Team (www.mnmteam.org) forschen und lehren sie alle zu den Themen Informationssicherheitsmanagement und IT-Service-Management.AUS DEM INHALT //- Einführung und Basiswissen- Die Standardfamilie ISO / IEC 27000 im Überblick- Grundlagen von Informationssicherheitsmanagementsystemen- ISO / IEC 27001- Spezifikationen und Mindestanforderungen- Maßnahmen im Rahmen des ISMS- Verwandte Standards und Rahmenwerke- Zertifizierungsmöglichkeiten und Begriffsbildung nach ISO/ IEC 27000- Abdruck der vollständigen DIN EN ISO / IEC 27001:2024- Vergleich der Normenfassungen von 2017 und 2024- Prüfungsfragen mit Antworten zur ISO / IEC 27000 Foundation
Optimized Computational Intelligence Driven Decision-Making
THIS BOOK COVERS A WIDE RANGE OF ADVANCED TECHNIQUES AND APPROACHES FOR DESIGNING AND IMPLEMENTING COMPUTATIONALLY INTELLIGENT METHODS IN DIFFERENT APPLICATION DOMAINS WHICH IS OF GREAT USE TO NOT ONLY RESEARCHERS BUT ALSO ACADEMICIANS AND INDUSTRY EXPERTS.Optimized Computational Intelligence (OCI) is a new, cutting-edge, and multidisciplinary research area that tackles the fundamental problems shared by modern informatics, biologically-inspired computation, software engineering, AI, cybernetics, cognitive science, medical science, systems science, philosophy, linguistics, economics, management science, and life sciences. OCI aims to apply modern computationally intelligent methods to generate optimum outcomes in various application domains. This book presents the latest technologies-driven material to explore optimized various computational intelligence domains.* includes real-life case studies highlighting different advanced technologies in computational intelligence;* provides a unique compendium of current and emerging hybrid intelligence paradigms for advanced informatics;* reflects the diversity, complexity, and depth and breadth of this critical bio-inspired domain;* offers a guided tour of computational intelligence algorithms, architecture design, and applications of learning in dealing with cognitive informatics challenges;* presents a variety of intelligent and optimized techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional data analytics research in intelligent decision-making system dynamics;* includes architectural models and applications-based augmented solutions for optimized computational intelligence.AUDIENCEThe book will interest a range of engineers and researchers in information technology, computer science, and artificial intelligence working in the interdisciplinary field of computational intelligence. HRUDAYA KUMAR TRIPATHY, PHD, is an associate professor in the School of Computer Engineering, KIIT Deemed to be University, He has more than 20 years of teaching experience and his research interests include neural networks, pattern recognition, software engineering, machine learning, and big data. He has published several books and research papers in various journals and conferences. Tripathy received the 2013 Young IT Professional Award from the Computer Society of India. SUSHRUTA MISHRA, PHD, is an associate professor in the School of Computer Engineering, KIIT Deemed to be University, Odisha, India. He obtained his doctorate in 2017 and his research interests include image processing, machine learning, the Internet of Things, and cognitive computing. He has published 130+ research articles in international journals and conferences. MINAKHI ROUT, PHD, is an associate professor in the School of Computer Engineering, KIIT Deemed to be University, Odisha, India. She obtained her PhD in 2015 and her research interests focus on computational finance, data mining, and machine learning. Rout has published 50+ research papers in international journals and conferences. S. BALAMURUGAN, PHD, is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents. SAMARESH MISHRA, PHD, is the director of student affairs at KIIT Deemed to be University. He obtained a PhD in computer science from Utkal University. His research areas focus on software testing, machine learning, and cloud computing. He has published 30+ academic papers. Preface xv1 EMERGENCE OF ADVANCED COMPUTATIONAL INTELLIGENCE COUPLED WITH SMART ENVIRONMENT 1Risha Rani and Tirtha Deb1.1 Introduction 21.2 Background Works 31.3 Integrated Smart Environment 41.4 Proposed Models for Smart Intelligent Environment 51.5 IoT Architecture 161.6 Smart Environment and Advanced Computational Intelligence 231.7 Advanced Computational Intelligences: Possible Uses in Smart Environment 241.8 Conclusion 262 MACHINE LEARNING-ENABLED INTEGRATED INFORMATION PLATFORM FOR EDUCATIONAL UNIVERSITIES 29Sai Smurti Sahu, Rishav Kumar, Soumya Sahoo, Balwant Kumar and Padmabati Mohanta2.1 Introduction 302.2 Cloud-Based Web Application for University 302.3 Integrated Information Platform of Indian Universities Using Machine Learning 362.4 Applications Used to Designed This Web Platform 372.5 Analysis Result 383 FALSE DATA INJECTION ATTACK DETECTION USING MACHINE LEARNING IN INDUSTRIAL INTERNET OF THINGS 49Hafizunisa, Prerna Rai and Damini Sinha3.1 Introduction 503.2 Literature Review 543.3 Technical Methodology 563.4 Proposed Model for Detecting False Data and its Correction 593.5 Complexity Analysis of Proposed Model 633.6 Advantages of the Model 643.7 Future Scope and Limitations of the Proposed Model 653.8 Conclusion 654 FAKE NEWS DETECTION: RESTRICTING SPREADING OF MISINFORMATION USING MACHINE LEARNING 69Shubham Choudhary and Pratyush Mishra4.1 Introduction 704.2 Scope of False News Detection 734.3 Main Highlights of the Analysis 734.4 A Novel Model for False News Detection 764.5 Literature Review 784.6 Results and Analysis 804.7 Conclusion 815 ADAPTABILITY, FLEXIBILITY, AND ACCESSIBILITY THROUGH TELEMEDICINE 85Dipti Verma, Somyajyoti Talukdar and Kumari Alankrita Sharma5.1 Introduction 865.2 Related Works 895.3 Proposed Model for Remote Health Monitoring System 935.3.1 Microcontroller and Sensor 955.4 Benefits of the Proposed Model 965.5 Constraints of the Proposed Model 985.6 Conclusion 1015.7 Future Works 1026 CROP PREDICTION BY IMPLEMENTING MACHINE LEARNING IN AN IOT-BASED SYSTEM 107Vivian Rawade and Shubham Sahoo6.1 Introduction 1086.2 Literature Review 1106.3 Proposed Model for Crop Prediction 1126.4 Results and Analysis 1236.5 Challenges Faced 1256.6 Advantages of the Proposed Model 1276.7 Disadvantages of the Proposed Model 1276.8 Conclusion 1287 RELEVANCE OF SMART MANAGEMENT OF ROAD TRAFFIC SYSTEM USING ADVANCED INTELLIGENCE 131Koustab Chowdhury and Rishabh Kapoor7.1 Introduction 1327.2 Related Works 1357.3 Proposed Model of Traffic Management System 1397.4 Role of AI in Traffic Management 1467.5 Conclusion and Future Works 1488 VISUALIZATION OF TEXTUAL CORPORA USING SOCIAL NETWORK ANALYSIS 151Indu Rodda and Durga Bhavani S.8.1 Introduction 1528.2 Related Literature 1548.3 Proposed Method 1568.4 Implementation and Results 1638.5 Conclusion and Future Work 1699 AUTONOMOUS INTELLIGENT VEHICLES: IMPACT, CURRENT MARKET, FUTURE TRENDS, CHALLENGES, AND LIMITATIONS 173Kamalanathan Shanmugam, Muhammad Ehsan Rana and Felix Ting Yu Hong9.1 Introduction 1749.2 The Global Impact of the AV Industry 1769.3 Role of Machine Learning in Autonomous Vehicles 1779.4 Significance of the AV Industry in Various Sectors 1799.5 Current Market and Future Trends in AV Industry 1849.6 Challenges and Limitations 1899.7 Conclusion 19210 ROLE OF SMART AND PREDICTIVE HEALTHCARE IN MODERN SOCIETY 195Muhammad Ehsan Rana and Manoj Jayabalan10.1 Introduction 19610.2 Healthcare System 19710.3 Role of Predictive Analytics in Healthcare 19810.4 Application of IoT in Healthcare 19910.5 IoT Based Healthcare Management Framework 20010.6 Future Recommendations for Research 21010.7 Conclusion 21111 AN ANALYTICAL STUDY ON DEPRESSION DETECTION USING MACHINE LEARNING 215Angelia Melani Adrian and Junaidy Budi Sanger11.1 Introduction 21611.2 Literature Survey 21711.3 Proposed System 22011.4 Challenges of Machine Learning in Depression Detection 22511.5 Conclusion and Future Work 22612 REVOLUTIONIZING HEALTHCARE: EMPOWERING FASTER TREATMENT WITH IOT-POWERED SMART HEALTHCARE 229Prerna Kumari, Rupali Agarwal and Shruti Kumari12.1 Introduction 23012.2 Scope/Motivation 23312.3 Literature Survey 23412.4 Smart Technology 23512.5 Methods and Materials 23612.6 Result 24512.7 Conclusion 24813 MACHINE LEARNING ALGORITHMS FOR INITIAL DIAGNOSIS OF PARKINSON’S DISEASE 251Udayan Das, Manish Jena and Manish Roy13.1 Overview of Parkinson’s Disease 25113.2 Scope 25413.3 Related Works 25513.4 Comparative Analysis of Parkinson’s Disease 26013.5 Pros and Cons Using ML Algorithms 26713.6 Conclusion and Future Works 27113.7 Bibliography 27114 TOWARDS A SUSTAINABLE FUTURE: HARNESSING THE POWER OF COMPUTATIONAL INTELLIGENCE TO TRACK CLIMATE CHANGE 275Satyam Sinha, Shreyash Kumar Agnihotri and Oshmita Sarkar14.1 Introduction 27614.2 Artificial Intelligence and Climate Change Adaptation 27714.3 Related Works 27814.4 Comparative Analysis of Technological Frameworks to Handle Climate Crisis 28014.5 Future Scope of Climatic Crisis Handling with AI 29914.6 Conclusion 30015 IMPACT OF COMPUTATIONAL INTELLIGENCE AND MODELING IN TACKLING WEATHER FLUCTUATION 305Rohan Karn, Aniket Rouniyar, Ranjit Kumar Das and Amit Gupta15.1 Introduction 30615.2 Objective 30815.3 Causes of Climate Crisis 30915.4 Significance of AI and Modeling on Climate Crisis 31115.5 Plastic Waste Detection Model 31915.6 Forest Fire Prediction Models Using AI 32515.7 Results 32915.8 Conclusion 331References 332Index 335
Die Erschaffung von „Prince of Persia“
Der Film-Fan und Yale-Student Jordan Mechner ist 27 und – dank zweier Hits, Karateka und Prince of Persia – plötzlich erfolgreicher, international bekannter Spieldesigner : "Ich sollte Memoiren schreiben. Angefangen mit 15, als ich meinen ersten Apple II bekam, bis zur Veröffentlichung von Prince, dem Spiel, das das Ende der Apple-Ära markierte. Eine gute Story, ein Stück Geschichte, meine!“, notiert er am 14. Februar 1992, aber auch: „Keine Ahnung, wer das lesen soll! Auch hasse ich Leute, die Memoiren schreiben, wenn sie jung sind, total selbstgefällig … "Die Tagebücher, die Mechner trotz Bedenken beginnt, begleiten seinen Versuch, das Karateka-Debüt zu toppen, beschreiben die Prince of Persia-Entstehung und Vermarktung. Sie laden uns in die wilde, goldene 8- und 16-Bit-Zeit und lassen uns teilhaben am rastlosen Leben eines jungen Kreativen, der zwischen Leinwand und Pixeln seinen Platz sucht – und berühmt wird. Mechners Erinnerungen und Skizzen sind zeitgeschichtliche Dokumente, sehr persönliche Einblicke in die frühe Game-Entwicklung und die Entstehung digitaler Narrative.Jordan Mechner: Die Erschaffung von „Prince of Persia“ – Tagebücher 1985-1993 ist kein Gameplan-Werk, sondern historischer Content aus erster Hand, übersetzt und herausgegeben von Stephan Freundorfer. Ein Software- und Selbstfindungs-Märchen, das wahr wird: Die offiziell lizenzierte Fassung der Tagebücher 1985-1993 präsentiert Mechners Originalzeichnungen, Designdokumente und Geschäftsunterlagen. Ebenfalls ergänzt in der dt. Übertragung sind Anhänge mit Erläuterungen zu Personen, Unternehmen, zeitgenössischen Begriffen und Spielen – Kontext und Hintergründe zu einer Ära, die eine neue Kunstform, ein Mega-Medium, eine Milliarden-Industrie hervorbringt.
Algorithmic Trading Systems and Strategies: A New Approach
Design and develop a complex trading system from idea to operation. Old approaches were based on manually searching for strategy ideas. This book shows you how to create a system that will generate, optimize, and launch profitable strategies into a fully automatic mode.Imagine a system that only requires access to the Internet and electricity from a trader. This book describes the architecture and features of such a system and provides recommendations for further development. Most books cover only the implementation stage and overlook the design and maintenance of these systems. Here, you’ll walk through the entire process of creating a complex, scalable and easily supported system.For example, you’ll design an application based on microservice architecture and learn about development environments. You’ll also examine the advantages of horizontal scaling in the context of creating trading systems. Along the way, you’ll set up Kubernetes, connect the monitoring system. and understand the intricacies of continuous integration and continuous delivery.Testing and identifying only dozens of strategies is a thing of the past. _Algorithmic Trading Systems and Strategies: A New Approach_ shows you how to analyze thousands in the same amount of time.Since childhood, I dreamed of being a programmer, namely from the moment when the first computer appeared in our house. Since then, I have regularly participated in programming competitions for children. And now many years have passed and at the moment I have more than 10 years of experience in developing complex systems from scratch.My professional passion has become complex design of various applications. At the same time, in my daily life I was attracted to the idea of algorithmic trading. And at that moment the stars aligned. I was interested in building a system that would search for and find profitable strategies on its own. At that time, developing such a system for algorithmic trading became one of the most interesting and difficult tasks for me.This project was my personal one, so, unfortunately, I filled the cones myself. The process was quite long, but by the end everything in my head lined up into a logical and correct model. Now I want to share my findings and conclusions with the world, so that everyone who wants to build their own algorithmic systems will not be like blind people and waste time creating ineffective systems. I want my readers to adopt my experience and their developments to bring maximum benefit to their creators.1. Popular Approaches.- 2.Introduction to Developing Trading Systems.- 3.Architectural Solution. - 4. Services and Subsystems.- 5. Technology Stack and Libraries.- 6. Optimization Algorithms.- 7. Implementation of Optimization Algorithms .- 8. Implementation of Core Modules.- 9. Approaches to Final implementation.
Cloud-Native DevOps
This book delivers cloud-based applications that are both scalable and reliable, aligning with the evolving needs of the present user base. This innovative approach blends the agility of cloud computing with the efficiency of contemporary DevOps methodologies.The book starts by providing valuable insights into the ever-evolving software landscape of Cloud-native DevOps. It delves into strategies for crafting scalable and dependable applications and illustrates the art of leveraging open-source tools to enhance collaboration. It navigates through the integral role of microservices in contemporary software development and imparts the know-how to integrate them with DevOps practices. The book simplifies container technology, with a focus on Docker and Kubernetes. It further elucidates the process of streamlining software delivery through Continuous Integration and Continuous Deployment (CI/CD). As you progress, you will explore open-source tools, including Argo, Kubeflow Pipelines, and AWS Step Functions. The concluding section covers real-world case studies and best practices for implementing Cloud-native DevOps. The book reviews the core concepts covered throughout and provides an exciting glimpse into the future of Cloud-native DevOps.Upon completing this book, you will be well-versed in the principles and practices of Cloud-native DevOps, understand real-world applications, and recognize the critical importance of security in cloud computing.WHAT YOU WILL LEARN* Create cloud-based applications that can scale with the changing needs of today's user base* Combine the flexibility of cloud computing with the efficiency of modern DevOps methodologies* Understand the core concepts and principles of Cloud-native DevOps* Understand microservices, containers, and continuous integration and continuous deployment (CI/CD)WHO THIS BOOK IS FORDevOps engineers, cloud architects, software developers, system administrators, IT managers, team leads, and business decision makersMOHAMMED ILYAS AHMED is an industry professional with extensive expertise in security within the DevSecOps domain, where he diligently works to help organizations bolster their security practices. With a fervent dedication to enhancing security posture, Mohammed's insights and guidance are invaluable to those navigating the complex landscape of DevSecOps. Beyond his practical experience, Mohammed has also contributed significantly to the industry as a judge in various events and awards ceremonies. His knowledge extends to Cloud Security, with a particular emphasis on securing DevSecOps environments, making him a sought-after authority in the field.In addition to his involvement in industry events, Mohammed is an active speaker and panelist, lending his expertise to technical sessions at prestigious conferences. His commitment to advancing knowledge is evident through his research contributions at Harvard University, where he contributes to journal publications, enriching the academic discourse surrounding security practices.Mohammed's dedication to excellence is further highlighted by his numerous certifications, which serve as a testament to his proficiency and depth of knowledge in the security domain. However, beyond his professional pursuits, Mohammed is a multifaceted individual with a diverse range of interests, adding richness to his character and perspective. Mohammed Ilyas Ahmed's influence extends even further as a Member of the Global Advisory Board at Vigitrust Limited, based in Dublin, Ireland. This additional role highlights his international reach and his involvement in shaping global strategies for cybersecurity and data protection.Chapter 1. Unveiling the Cloud-Native Paradigm.- Chapter 2. Cloud-Native DevOps Architectural Overview.- Chapter 3. Security in Cloud-Native Applications with a Shift-Left Approach.- Chapter 4. CI/CD Pipeline in Cloud-Native DevOps.- Chapter 5. Open-Source Tools for Cloud-Native DevOps.- Chapter 6. Scalability and Autoscaling Strategies .- Chapter 7. Collaborative Development in the Cloud-native.- Chapter 8. IAM Security in Cloud-Native Environment.- Chapter 9. Threat Analysis for Cloud-Native Deployments.- Chapter 10. Future Trends in Cloud-Native.
Mikrocontroller ESP32 (3. Auflg.)
Mit dem ESP32 setzen Maker anspruchsvolle IoT-Projekte um. Ein leistungsstarkes SoC und zahlreiche Schnittstellen zur Kommunikation machen ihn zur idealen Basis für alle Ihre Ideen in der IoT-Programmierung, bei der Hausautomation oder einfach beim Elektronikbasteln. Udo Brandes begleitet Sie mit diesem Leitfaden bei Ihren Projekten und zeigt Ihnen die Arbeit mit Entwicklungsumgebungen, Sensoren, Schnittstellen und allem, was dazu gehört. So gelingt Ihnen der umfassende Einstieg in die Mikrocontrollerprogrammierung.Neu in dieser Auflage: Fortgeschrittene ULP-Programmierung und das Arbeiten mit Threads1. Der Mikrocontroller für MakerDer ESP32 ist ein leistungsstarker und stromsparender System-on-a-Chip, der sich ideal für die ersten Schritte in die Mikrocontrollerprogrammierung eignet. Mit ihm setzen Sie Ihre Ideen zu Schaltungen und Projekten um.2. Grundlagen und PraxisWas ist die richtige Entwicklungsumgebung für Ihr Projekt? Wie versorgen Sie Ihren ESP32 mit Strom, welche Online-Dienste helfen Ihnen bei der Datenauswertung und wie finden Sie Fehler in Ihren Schaltungen? In diesem Buch erhalten Sie Hintergrundinformationen und Praxistipps, die Ihnen den Einstieg leichter machen und im Maker-Alltag helfen.3. Ausführliche Codebeispiele und Fritzing-SchaltpläneDieser Leitfaden unterstützt Sie mit Schaltskizzen im Fritzing-Format und ausführlichen C-Beispielen für ESP-IDF und die Arduino IDE. Mit diesen Vorlagen als Fundament verwirklichen Sie schon bald nützliche und kreative Maker-Projekte, die genau auf Ihre Anforderungen zugeschnitten sind.Aus dem Inhalt:Chips und BoardsStromversorgungWerkstatt: Löten, Verkabeln, FritzingProgrammiergrundlagen in C und C++Entwicklungsumgebungen: Arduino und ESP-IDFAnalog- und Digitalausgänge, LEDs, Impulszähler und mehrSensorenSPI, I²C, UARTDrahtlose Kommunikation mit Bluetooth, OTA und WifiJTAG-Debugging und weitere Tricks bei der FehlersucheULP-Programmierung: Tasks und Deep SleepProjektideen für Maker: Evil Dice, Binär-Uhr, Solar-WLAN-RepeaterÜber den Autor:Udo Brandes ist selbständiger Programmierer, IT-Entwickler und Autor. Die Möglichkeiten der Mikrocontrollerprogrammierung sind Zukunftsthemen, die ihn faszinieren und mit deren Chancen und Risiken er sich seit langem intensiv befasst. Zuvor war er Systementwickler beim Rechenzentrum der Finanzverwaltung des Landes Nordrhein-Westfalen und hat in unterschiedlichen Aufgaben für die Stadt Wuppertal gearbeitet.Leseprobe (PDF-Link)
Rechtsleitfaden KI im Unternehmen
Ein unverzichtbarer Ratgeber für alle, die sich mit der Implementierung und Nutzung künstlicher Intelligenz (KI) im Unternehmen beschäftigen. In präziser und zugänglicher Sprache erfahren Sie alles über die rechtlichen Rahmenbedingungen, die bei der Einführung von KI-Technologien in Unternehmen berücksichtigt werden müssen. Dazu gehören Themen wie Datenschutz, Urheberrecht, Haftungsfragen und die Compliance mit internationalen Standards und Gesetzen. Mit praktischen Beispielen und Fallstudien illustrierten die Autoren die komplexen rechtlichen Herausforderungen und bieten Lösungsansätze und Handlungsempfehlungen. Ob Sie ein Startup leiten, das in die Welt der KI eintaucht, oder ein etabliertes Unternehmen, das seine Prozesse durch KI-Technologien optimieren möchte – dieses Buch bietet Ihnen Orientierung für Ihre Pläne und Herausforderungen. Aus dem Inhalt: Technische Grundlagen von Künstlicher IntelligenzEinsatz von ChatGPT und Co.Training eigener AlgorithmenSoftwareerstellung mit KIUnterstützung durch SprachassistentenWerbetexten und Kreativarbeit erledigen lassenHuman Resources: KI als PersonalchefDatenanalyseSoftwareentwicklungSprachassistenten