Optimal Control
Optimal control theory has widespread applications across various fields such as aerospace, robotics, economics, and process engineering. It enables the design of control strategies that can achieve superior performance by systematically considering the trade-offs and constraints inherent in dynamic systems.The purpose of this book is to present the basic elements of optimal control. The first chapter will introduce the optimization criteria encountered. Concepts based on the calculus of variations and Pontryagin's minimum principle, for minimizing cost functions, will be covered in the second chapter. The third chapter will extend Pontryagin's minimum principle to linear systems with quadratic criteria (LQ theory). At the end of this document (Chapter 4), examples of implementation will be provided to deepen the understanding of the introduced concepts. The prerequisites for this course on optimal control include fundamental notions of continuous and sampled linear control systems as well as state representation.
Mastering Data Visualization with Tableau
"Mastering Data Visualization with Tableau" is an invaluable book that will help you become more knowledgeable and elevate your understanding and skills in data visualization using Tableau which is one of the leading tools in the industry. This comprehensive resource covers the basics of visual analytics, explaining both the theory and practical ways to turn raw data into useful insights.You will start with Tableau Desktop by learning to download it, navigate the interface, and connect to data sources. The book teaches you to create and format basic charts, adding interactivity with parameters, sets, sorting, and filtering. You will explore calculations and advanced visualizations like bar-in-bar charts and maps. It covers designing interactive dashboards, using text and images for storytelling, and sharing work via PDFs and Tableau Public. The book ends with AI features in Tableau and hands-on exercises to practice.Through this book, readers can gain the confidence to handle complex datasets, apply advanced visualization techniques, and harness Tableau's full potential to make informed decisions faster and with greater accuracy. KEY FEATURES ● Detailed exploration of Tableau, Tableau interface, dimensions, measures, and other visualization tools.● Techniques for interactive data visualization using actions, filters, sets, parameters, groups, and hierarchy.● Advanced graphing techniques and dynamic visualization strategies, calculated fields, table calculations, and LOD.WHAT YOU WILL LEARN● Tableau for complex data visualizations and apply predictive analytics. Clean and prepare data efficiently and create interactive dashboards that drive strategic business decisions.● Advanced charts like bar-in-bar, profit calendar, and map visualizations.● Gain practical hands-on experience with a question bank based on various industry use cases, enhancing your ability to tackle real-world data challenges.WHO THIS BOOK IS FORThis book is an excellent resource for students from any discipline, data scientists, business analysts, and professionals eager to master Tableau for comprehensive insights, effective dashboards, and advanced data analysis.
Programming
In today's world, nearly every aspect of our lives is intertwined with information technology. From banking operations to medical research, entertainment to education, software is ubiquitous. The creation of this software is impossible without understanding the basics of programming, making it one of the most crucial disciplines in education (technical education). The monograph aims to provide an in-depth study of the fundamental principles of programming, analyses contemporary approaches and methodologies, and present practical aspects of software development. The author tries to arm the readers with robust knowledge, fostering their growth into highly qualified specialists in the field of programming.
AI & ML - Theoretical Approach
Artificial Intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. These processes include learning, reasoning, and self-correction. The chapter introduces the history of AI, its key components, and various types including narrow AI and general AI. It discusses the significance of AI in modern technology and its potential impact on various industries. Machine Learning (ML) is a subset of AI that involves the use of algorithms and statistical models to enable computers to perform specific tasks without using explicit instructions. This chapter covers the basics of ML, including supervised, unsupervised, and reinforcement learning. It also highlights the importance of data in ML and the different types of algorithms used in machine learning.
Advanced Digital, Modeling and Control Applies into Various Processes
This Special Issue reviews advanced digital technologies in modelling and control of technological processes. The methods of numerical modelling, artificial intelligence, machine learning, automatic control, and optimization theory are considered in the published manuscripts of this Special Issue.
Emerging Trends in IoT and Computing Technologies
Second International Conference on Emerging Trends in IOT and Computing Technologies (ICEICT - 2023) is organised with a vision to address the various issues to promote the creation of intelligent solution for the future.
How to use Business Intelligence to Drive Organizational Effectiveness
The book attempts to address a research gap in the entire process involving how businesses are leveraging on a large pool of customer data available to influence the decision-making process of the senior management team. The organizational effectiveness can be directly traced to how much of the companies data is being mined and analysed for the purpose of understanding the customer's market behaviour. The book went further to highlight available tools in the market. While it is also important to reiterate that newly improved business intelligence tools are released into the market daily. There is an unending list of options available for the business management to adopt and implement. This book also identifies that challenges that businesses are facing, especially small and medium scale businesses, in adopting this technology. A lot of small business struggle due to the high capital intensive nature of buying this infrastructure and software for installation. Another challenge identified is the adoption of change. Naturally, people are change resistant despite the fact that It will make their life better.
Artificial Intelligence and Industry 4.0
Artificial Intelligence (AI) and Industry 4.0 are interconnected concepts that represent digital transformation and advanced automation in the industrial sector. AI refers to the development of computer systems capable of performing tasks that normally require human intelligence, such as learning, reasoning and decision-making. In Industry 4.0, AI is a central technology driving the creation of smart factories, where machines and systems communicate and operate autonomously.Industry 4.0, also known as the Fourth Industrial Revolution, integrates advanced technologies such as the Internet of Things (IoT), Big Data, robotics, and cloud computing to create highly efficient and adaptable production networks. AI analyses large volumes of data generated by these systems to optimize processes, predict failures, improve product quality and increase production flexibility.In short, the combination of AI and Industry 4.0 is revolutionizing manufacturing by enabling smarter, more efficient and personalized operations, resulting in significant gains in productivity and innovation.
Building Blocks of the Future
Building Blocks of the Future: Unveiling the Potential of 2D Materials" dives into the remarkable world of two-dimensional materials, the next frontier in nanotechnology. Imagine a revolution in materials science, where substances are just one atom thick yet possess unique and powerful properties. This book delves into the science behind these wonder materials, explaining how their atomic structure unlocks a range of groundbreaking applications. You'll discover how 2D materials can be used to create ultra-thin, flexible electronics that can bend and fold without breaking. They hold the potential for revolutionary solar cells that harvest sunlight with unprecedented efficiency, and ultralight materials that could transform everything from airplanes to buildings. "Building Blocks of the Future" isn't just about the technical aspects. It explores the real-world impact of 2D materials, showcasing their potential to revolutionize industries, healthcare, and our everyday lives. With engaging explanations and clear examples, this book offers a glimpse into the exciting future where 2D materials become the building blocks of a new era in technology.
Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems
This book constitutes the proceedings of the First International Joint Conference on Quantitative Evaluation of Systems and Formal Modeling and Analysis of Timed Systems, QEST+Formats 2024, which took place in Calgary, AB, Canada, during September 2024. This year the 21th International Conference on Quantitative Evaluation of SysTems (QEST 2024) and the 22nd International Conference on Formal Modeling and Analysis of Timed Systems (FORMATS 2024) joint forces and took place as part of the CONFEST 2024 umbrella conference. The 19 full papers presented in this book were carefully reviewed and selected from 33 submissions. They deal with up-to-date topics in quantitative evaluation and verification of systems, focusing on fundamental and practical aspects of systems with quantitative nature, such as probability, timing, and cost, and modeling, design and analysis of computational systems.
A Distributed Algorithm to Fix the Power Problem in WSAN
In this book, a solution for fixing the power problem in the wireless sensor and actuator networks is proposed. The method was proposed as research to get a master's degree in computer engineering, and I produced an algorithm for recharging or replacing the nodes that suffer from low power problems by taking advantage of the actuators' movement in the wireless sensor and actuator networks. This method does not require additional costs and is a permanent solution to the power problem of wireless sensor and actuator networks.
Computer Algebra in Scientific Computing
This book constitutes the refereed proceedings of the 26th International Workshop on Computer Algebra in Scientific Computing, CASC 2024, which took place in Rennes, France, during September 2 - September 6, 2024. The 19 full papers included in this book were carefully reviewed and selected from 23 submissions. The annual International Workshop CASC 2024 aims to bring together researchers in theoretical computer algebra (CA), engineers, scholars, as well as other allied professionals applying CA tools for solving problems in industry and in various branches of scientific computing to explore and discuss advancements, challenges, and innovations related to CA.
Cryptography and Information Security
This Special Issue on cryptography and information security presents a diverse range of contributions, offering valuable insights into various facets of the field. The topics covered include surveying physical unclonable functions for authentication, communication protocols, challenges, and applications of Internet of Things security. Additionally, this issue discusses the development of a symmetric encryption solution derived from a binary-tree-fed mixed-network protocol, a novel deduplication method for cloud preservation with real-time ownership organization and optimization, and a low-intervention security model aimed at alleviating enterprise burdens through API utilization. Other contributions explore architectures designed to prevent low-rate denial-of-service attacks within drone environments, propose IoT-enabled lightweight authentication frameworks, and investigate the effects of long-range dependence on temporal resolution recovery in HEVC compressed-content environments. Furthermore, this issue introduces a novel framework utilizing API-based obfuscation techniques and discusses the secure application of medical IoT systems, lightweight cipher mechanisms for electronic commerce transactions, and a systematic review of information security in chatbots. Together, these contributions offer valuable insights into cryptography and information security, spanning from encryption solutions to IoT-enabled authentication architectures and beyond.
Architecture for Handling Unstructured Data
One of the trends to solve the various problems and challenges generated by the Big Data context is the movement called NoSQL (Not only SQL). What is also driving the creation of NoSQL data processing systems is their inference to complex, semi-structured or unstructured data, present today in social networks, sensors, Internet logs, among others. This book aims to present a reference architecture for processing unstructured data, inherent to the reality of federal education institutes, so that they can provide analysis on data from local networks, social networks, intranets, the Internet and any connected device. Products such as Hadoop, Hive, HBase and others show the large number of NoSQL solutions available on the market for future choice when implementing applications.
Fortifying the Cloud
"Fortifying the Cloud: Strategies for Understanding and Mitigating Fault Tolerance Bugs" dives into the critical world of cloud computing reliability. The book tackles the challenge of "fault tolerance bugs" - errors that can disrupt smooth cloud operations. You'll explore different strategies to understand these bugs, how they arise, and their potential impact. The book equips you with practical methods to mitigate these bugs, preventing outages and ensuring a robust cloud infrastructure. Whether you're a cloud architect, developer, or IT professional, "Fortifying the Cloud" empowers you to build stronger, more reliable cloud systems.
AI to the Rescue
This title offers several advantages: Intrigue: "AI Steps Up" creates a sense of a solution emerging. Clarity: "Machine Learning" and "Chronic Disease Management" clearly define the focus. Action: "Revolution" emphasizes the potential for significant change. Here's a breakdown of the content it could cover: The Chronic Disease Challenge: Briefly explain the prevalence and burden of chronic conditions like diabetes and heart disease. The Limitations of Current Management: Discuss the challenges patients face in managing their conditions, such as medication adherence and following complex treatment plans. Machine Learning to the Rescue: Highlight how machine learning algorithms can analyze vast amounts of patient data to: Predict and prevent complications. Personalize treatment plans based on individual needs. Provide real-time feedback and support to patients. A Brighter Future: Briefly mention the potential for AI to improve patient outcomes and reduce healthcare costs.
Virtual Reality
Virtual reality, once expensive and somewhat inaccessible, is now part of our daily lives. But even with today's technology, is total immersion in virtual reality possible or could it become possible? The aim of this book, the fruit of research into various sources, is to analyze current Virtual Reality technologies and speculate, based on the information gathered, on the possibility of total immersion in virtual reality. This will be done by first analyzing the old technologies that took the initial steps towards what we know today as Virtual Reality. Next, current Virtual Reality technologies will be analyzed and verified, and we will highlight which of them offer or could offer the capacity for total immersion. Finally, the technologies analyzed will be compared and we will conclude which of them achieves the goal of total immersion.
The role and skills of the designer in IT teams
The book is the result of a research project that aimed to contribute to identifying and understanding the role of the designer in multidisciplinary teams and the skills needed to play this increasingly strategic role in organizations in today's complex and interconnected society. Through a case study in a large Brazilian technology company, and using techniques such as in-depth interviews and focus groups, it was possible to identify the technical, behavioral and relational skills mobilized by digital designers to work in teams developing technology projects such as websites, systems and applications. This study is aimed at digital design professionals, students and managers who are somehow related to designers and want to better understand the role and skills of these professionals in teams.
Business Intelligence and its application in Credit Unions
Due to the various developments that have taken place in recent years in the business world, the economic scenario has become more competitive for companies. Information technology (IT) has been a strong ally in the decision-making process of organisational executives and its advances have allowed decision support systems, such as Business Intelligence (BI), to become indispensable solutions. The co-operatives of the Brazilian Credit Union System (Sicoob) are part of this challenging scenario. In order to be competitive in the market, these co-operatives need an edge as a means of winning new members and retaining the loyalty of existing ones. To this end, Sicoob has invested in implementing a BI project in order to boost the business of its co-operatives. This book covers the entire process of implementing the BI project at Sicoob and assesses the importance of the data analytics environment (BI) according to the perception of a group of professionals from the cooperatives that have benefited from the project's results.
The use of games to attract audiences in the media
The book presents a bibliographical survey, using articles, books and publications, on the world of games, showing their structure, thus obtaining technical information and more in-depth concepts in the area of game development. After this process, a study of the main social networks (Twitter and Facebook) was carried out to make it possible to integrate games with these channels of dissemination and communication, resulting in a case that can be applied in future work. At the end of the book, the project for a game that was implemented for TV Galega is presented, resulting in a real example of the use of games to attract an audience in communication vehicles.
Agile Odyssey
In an ever-evolving world, where change is the only constant, "Agile Odyssey " emerges as a guiding light for those at the helm of modern organizational transformations. This book is not just another addition to the vast sea of agile literature; it's a transformative journey through the chronicles of ancient wisdom, tracing its relevance to agile leadership in the digital age. Uniquely positioned at the confluence of timeless spiritual teachings and cutting-edge agile practices, this book is a beacon of enlightenment for agile leaders, practitioners, and those steering organizational change. It transcends the typical narratives of agile framework and delves deep into the heart of transformation, where true change begins - within the leaders themselves. Drawing from ancient spiritual wisdom, the book equips readers with practical tools to address the hurdles encountered within the software industry. It empowers them to apply the invaluable gems of spiritual wisdom to navigate these challenges and cultivate personal agility. The book offers valuable insights and guidance for a wide range of industry roles and professionals. Here are some of the industry roles that can benefit from the book - Agile Enthusiasts, Organizational Leaders, Project managers, leads, change management professionals, technology and IT professionals, Consultants, Personal growth enthusiasts, Spiritual and Philosophy Enthusiasts The book's multidisciplinary approach, spanning agile principles, leadership development, and the integration of ancient wisdom, makes it relevant and beneficial for a diverse range of industry roles and professionals. Through practical tools and strategies, readers will assess personal and organizational agility, address industry and technology challenges, and foster a culture of collaboration and adaptability. With a holistic approach, this book guides leaders towards effective leadership, personal growth, and the fusion of ancient wisdom with contemporary practices for a brighter, more agile future.
Daily Seed
This unique Christian devotional presents a daily Scripture verse for each day of the year in the format of a Bitcoin seed phrase. An accompanying QR code can be scanned to read a short exhortation related to the daily verse. The ethos of Bitcoin aligns perfectly with the tenants of Christianity, so both Christian and non-Christian Bitcoiners will be inspired by the seed words of wisdom presented in the Daily Seed. This hardcover book contains nearly 400 full-color pages. Sitting on your coffee table, the Daily Seed is sure to be a conversation starter.
A Roadmap to Implement Machine Learning in Construction Industry
"A Roadmap to Implement Machine Learning in Construction Industry" is a comprehensive guide that explores the application of machine learning in the construction industry. Written by industry experts, this book provides a clear roadmap for implementing machine learning techniques in construction projects, from planning to execution. The book covers a range of topics related to machine learning, including data collection and processing, feature selection, algorithm selection, and model training and validation. It also examines the use of machine learning for various construction activities, such as project planning, risk management, quality control, and equipment maintenance. Through practical examples and case studies, the authors demonstrate the benefits of machine learning in the construction industry, such as increased efficiency, improved quality, and reduced costs. They also discuss the challenges and considerations that need to be taken into account when implementing machine learning, such as data privacy, data quality, and the need for skilled personnel.
Theory of Computation
"Introduction to Theory of Computation" offers a comprehensive overview of the foundational concepts in computation. It begins by defining computation as the process of executing a sequence of operations based on algorithms to achieve specific outcomes, encompassing both natural and artificial processes. The historical development of computation, from early computational devices like the abacus to the advent of mechanical and electronic computers, is explored, highlighting key milestones such as the invention of the transistor and the development of the Internet. The chapter introduces essential concepts such as algorithms, data structures, and formal languages, along with models of computation including finite automata, pushdown automata, and Turing machines.
Advanced Machine Learning
DESCRIPTION Our book is divided into several useful concepts and techniques of machine learning. This book serves as a valuable resource for individuals seeking to deepen their understanding of advanced topics in this field. Learn about various learning algorithms, including supervised, unsupervised, and reinforcement learning, and their mathematical foundations. Discover the significance of feature engineering and selection for enhancing model performance. Understand model evaluation metrics like accuracy, precision, recall, and F1-score, along with techniques like cross-validation and grid search for model selection. Explore ensemble learning methods along with deep learning, unsupervised learning, time series analysis, and reinforcement learning techniques. Lastly, uncover real-world applications of the machine and deep learning algorithms.After reading this book, readers will gain a comprehensive understanding of machine learning fundamentals and advanced techniques. With this knowledge, readers will be equipped to tackle real-world problems, make informed decisions, and develop innovative solutions using machine and deep learning algorithms.WHAT YOU WILL LEARN● Ability to tackle complex machine learning problems.● Understanding of foundations, algorithms, ethical issues and how to implement each learning algorithm for their own use/ with their data.● Efficient data analysis for real-time data will be understood by researchers/ students.● Using data analysis in near future topics and cutting-edge technologies.WHO THIS BOOK IS FORThis book is ideal for students, professors, and researchers. It equips industry experts and academics with the technical know-how and practical implementations of machine learning algorithms.
Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation
This two-volume set IFIP AICT 701-702 constitutes the refereed post-conference proceedings of the 20th IFIP WG 5.1 International Conference on Product Lifecycle Management: Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation, PLM 2023, held in Montreal, QC, Canada, during July 9-12, 2023. The 61 regular papers included in this book were carefully reviewed and selected from 116 submissions. They are organized in the following thematic sections: Part I: Technology implementation: augmented reality, CPS and digital twin; organisation: knowledge management, change management, frameworks for project and service development; modelisation: CAD and collaboration, model-based system engineering and building information modeling. Part II: Circular economy: characterization, criteria and implementation; interoperability technology: blockchain, IoT and ontologies for data exchange; learning and training: from AI to a human-centric approach; smart processes: prediction, optimization and digital thread.
Computational Science - Iccs 2024
The 7-volume set LNCS 14832 - 14838 constitutes the proceedings of the 24th International Conference on Computational Science, ICCS 2024, which took place in Malaga, Spain, during July 2-4, 2024. The 155 full papers and 70 short papers included in these proceedings were carefully reviewed and selected from 430 submissions. They were organized in topical sections as follows: Part I: ICCS 2024 Main Track Full Papers; Part II: ICCS 2024 Main Track Full Papers; Part III: ICCS 2024 Main Track Short Papers; Advances in High-Performance Computational Earth Sciences: Numerical Methods, Frameworks and Applications; Artificial Intelligence and High-Performance Computing for Advanced Simulations; Part IV: Biomedical and Bioinformatics Challenges for Computer Science; Computational Health; Part V: Computational Optimization, Modelling, and Simulation; Generative AI and Large Language Models (LLMs) in Advancing Computational Medicine; Machine Learning and Data Assimilation for Dynamical Systems; Multiscale Modelling and Simulation; Part VI: Network Models and Analysis: From Foundations to Artificial Intelligence; Numerical Algorithms and Computer Arithmetic for Computational Science; Quantum Computing; Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks, and Artificial Intelligence; Solving Problems with Uncertainties; Teaching Computational Science
The Real Internet Architecture
A new way to understand the architecture of today's Internet, based on an innovative general model of network architecture that is rigorous, realistic, and modular This book meets the long-standing need for an explanation of how the Internet's architecture has evolved since its creation to support an ever-broader range of the world's communication needs. The authors introduce a new model of network architecture that exploits a powerful form of modularity to provide lucid, insightful descriptions of complex structures, functions, and behaviors in today's Internet. Countering the idea that the Internet's architecture is "ossified" or rigid, this model--which is presented through hundreds of examples rather than mathematical notation--encompasses the Internet's original or "classic" architecture, its current architecture, and its possible future architectures. For practitioners, the book offers a precise and realistic approach to comparing design alternatives and guiding the ongoing evolution of their applications, technologies, and security practices. For educators and students, the book presents patterns that recur in many variations and in many places in the Internet ecosystem. Each pattern tells a compelling story, with a common problem to be solved and a range of solutions for solving it. For researchers, the book suggests many directions for future research that exploit modularity to simplify, optimize, and verify network implementations without loss of functionality or flexibility.
Data Science for Decision Makers
Bridge the gap between business and data science by learning how to interpret machine learning and AI models, manage data teams, and achieve impactful resultsKey Features: - Master the concepts of statistics and ML to interpret models and guide decisions- Identify valuable AI use cases and manage data science projects from start to finish- Empower top data science teams to solve complex problems and build AI products- Purchase of the print Kindle book includes a free PDF eBookBook Description: As data science and artificial intelligence (AI) become prevalent across industries, executives without formal education in statistics and machine learning, as well as data scientists moving into leadership roles, must learn how to make informed decisions about complex models and manage data teams. This book will elevate your leadership skills by guiding you through the core concepts of data science and AI.This comprehensive guide is designed to bridge the gap between business needs and technical solutions, empowering you to make informed decisions and drive measurable value within your organization. Through practical examples and clear explanations, you'll learn how to collect and analyze structured and unstructured data, build a strong foundation in statistics and machine learning, and evaluate models confidently. By recognizing common pitfalls and valuable use cases, you'll plan data science projects effectively, from the ground up to completion. Beyond technical aspects, this book provides tools to recruit top talent, manage high-performing teams, and stay up to date with industry advancements.By the end of this book, you'll be able to characterize the data within your organization and frame business problems as data science problems.What You Will Learn: - Discover how to interpret common statistical quantities and make data-driven decisions- Explore ML concepts as well as techniques in supervised, unsupervised, and reinforcement learning- Find out how to evaluate statistical and machine learning models- Understand the data science lifecycle, from development to monitoring of models in production- Know when to use ML, statistical modeling, or traditional BI methods- Manage data teams and data science projects effectivelyWho this book is for: This book is designed for executives who want to understand and apply data science methods to enhance decision-making. It is also for individuals who work with or manage data scientists and machine learning engineers, such as chief data officers (CDOs), data science managers, and technical project managers.Table of Contents- Introducing Data Science- Characterizing and Collecting Data- Exploratory Data Analysis- The Significance of Significance- Understanding Regression- Introducing Machine Learning- Supervised Machine Learning- Unsupervised Machine Learning- Interpreting and Evaluating Machine Learning Models- Common Pitfalls in Machine Learning- The Structure of a Data Science Project- The Data Science Team- Managing the Data Science Team- Continuing Your Journey as a Data Science Leader
Hacker's Havoc
Embark on a comprehensive exploration of cybersecurity in 'Hacker's Havoc: A Blueprint for Dominance by Ashish Vishwakarma.' Seamlessly blending technical intricacies and societal consequences, the book takes readers from the basics of encryption and networking to cutting-edge technologies like AI, using real-world examples to demystify the complex landscape of cyber threats. Unveiling the human side of cybersecurity, it delves into aspects such as education, awareness, and the ethical considerations surrounding hacking. Addressing international collaboration and the delicate balance between security and privacy, the narrative extends to emerging technologies like quantum computing and blockchain. A compelling call to action motivates readers to stay vigilant, fostering a profound understanding of the dynamic cybersecurity landscape. Beyond a mere technical manual, this book provides a holistic journey that connects technology, ethics, and human behavior, offering a comprehensive insight into digital challenges and empowering readers with the necessary strategies to navigate the ever-evolving cybersecurity landscape in our interconnected world.
Reclaim Your Digital Gold - It is Your Power
The Power of Personal Data & AI: How It Shapes the Future of Business and Society In today's digital age, personal data has become an invaluable commodity, driving the exponential growth of businesses and profoundly shaping the society we live in. The ubiquitous use of the Internet and mobile devices has spawned innovative business models that cater to our every need and convenience online. As a result, there is a relentless race for data supremacy, where the collection and exploitation of personal data fuels advanced artificial intelligence (AI) tools and solutions such as ChatGPT, BingAI, and many others. What You Will Learn: The Rise of Data-Driven MarketingCollection and Analysis: Uncover how companies meticulously gather and scrutinize personal data to market products and services tailored to consumers' searches, behavioral habits, and purchasing patterns.Behavioral Insights: Learn how businesses leverage these insights to create highly personalized marketing strategies that drive consumer engagement and loyalty.Social Transformation Through DataHabit-Changing Services: Understand how some companies provide services designed to alter consumer habits, leading to significant and sometimes irreversible social changes.Impact on Society: Explore the broader implications of these changes on social norms, behaviors, and interactions.Personal Data as the New CurrencyValue Exchange: Delve into the concept of personal data as a form of currency that individuals readily exchange for convenience, entertainment, and instant gratification.Economic Implications: Examine the economic impact of this data exchange on both consumers and businesses.Surveillance Capitalism and Privacy ConcernsBusiness Model: Investigate the emergence of surveillance capitalism, where companies profit from the extensive monitoring and analysis of personal data.Privacy Issues: Analyze the privacy concerns arising from this model and the potential risks to individual freedoms and rights.The Impact of Social MediaData Exploitation: Discover how social media platforms collect and utilize personal data to shape user experiences and influence behaviors.Societal Effects: Assess the far-reaching effects of social media on communication, relationships, and public discourse.The Future Landscape: AI, Metaverse, and BeyondTechnological Evolution: Explore the rapidly evolving landscape shaped by AI, the Metaverse, and other data-intensive solutions and applications.Future Implications: Contemplate the future implications of these technologies on business, society, and individual lives.Reclaiming Your Data PowerPractical Steps: Gain actionable insights and practical steps (referred to as Digital Gold Nuggets) that individuals can take to reclaim and reposition their data power.Empowerment: Learn how to protect your privacy, control your digital footprint, and make informed decisions about your online activities.Addressing SkepticismImpact Awareness: Acknowledge the skepticism some readers may have about the impact of personal data on society and the feasibility of reclaiming data power.Practicality of Steps: Present compelling arguments and evidence supporting the practicality and effectiveness of the suggested steps.By understanding the profound power of personal data, readers can take control of their digital lives, safeguard their privacy, and navigate the digital landscape with confidence. Empower yourself with knowledge. Get your copy of the book today to discover the transformative power of personal data and take control of your digital life.
The Rise of Cyberbullying
This title effectively addresses the growing issue of cyberbullying in South African schools. Here's a breakdown of its key elements: - The Rise of Cyberbullying: This emphasizes the increasing prevalence of cyberbullying, highlighting a trend that demands attention. - A Challenge for South African Schools: This clarifies the specific context and the difficulties schools face in combating this issue. Alternative Title: Here's a slightly different take with a more urgent tone (50 words): South Africa's Schools on Alert: Can They Stop Cyberbullying? This title uses "on alert" to create a sense of urgency and asks a question that captures the reader's interest. It also uses shorter, impactful language. Ultimately, the best choice depends on the desired tone and emphasis of your writing.
Hybrid Information Systems
The book provides comprehensive and cognitive approach to building and deploying sophisticated information systems. The book utilizes non-linear optimization techniques, fuzzy logic, and rough sets to model various real-world use cases for the digital era. The hybrid information system modeling handles both qualitative and quantitative data and can effectively handle uncertainty and imprecision in the data. The combination of non-linear optimization mechanisms, fuzzy logic, and rough sets provides a robust foundation for next-generation information systems that can fulfill the demands of adaptive, aware, and adroit software applications for the knowledge era. The book emphasizes the importance of the hybrid approach, which combines the strengths of both mathematical and AI techniques, to achieve a more comprehensive and effective modeling process. Hybrid information system modeling techniques combine different approaches, such as fuzzy logic, rough sets, and neural networks, to create models that can handle the complexity and uncertainty of real-world problems. These techniques provide a powerful tool for modeling and analyzing complex systems, and the applications of hybrid information system modeling demonstrate their potential for solving real-world problems in various fields.
Modeling, Optimization and Control of Robotic Systems
This Special Issue reprint delves into the dynamic world of robotic systems, offering a comprehensive exploration of the latest advancements in modeling, optimization, and control. Robotics has emerged as a transformative field with applications spanning from industrial automation to healthcare and beyond. In this collection, leading researchers and practitioners present their cutting-edge work, shedding light on the intricate processes involved in designing, optimizing, and controlling robotic systems. From intricate mathematical models that capture the complex dynamics of robotic manipulators to innovative optimization techniques that enhance efficiency and performance, each contribution in this reprint offers valuable insights into the state-of-the-art methodologies shaping the future of robotics. The interdisciplinary nature of the field is highlighted, with discussions spanning areas such as mechanical design, electrical engineering, computer science, and artificial intelligence. Readers will find a diverse array of topics covered, including trajectory planning for autonomous vehicles, learning-based control strategies for humanoid robots, adaptive control algorithms for flexible manipulators, and many more. Through a blend of theoretical analysis, practical applications, and experimental validation, this reprint provides a comprehensive overview of the latest trends and challenges in the field of robotic systems.
Simple Arcadia for Beginners
Simple Arcadia for Beginners: Using Capella is for Beginners. This book is for beginning modelers who have just downloaded a copy of Capella and are anxious to get started, but otherwise don't know too much about Arcadia and don't have much experience using Capella or any other similar tool. The purpose of this book is to help the reader get through the initial learning curve and start the reader on the way to becoming proficient at Arcadia modeling.The book is designed to be a tool companion for two of the more comprehensive books on Arcadia: Systems Architecture Modeling with the Arcadia Method: A Practical Guide to Capella (Implementation of Model Based System Engineering), 1st Edition by Pascal RoquesModel-based System and Architecture Engineering with the Arcadia Method, 1st Edition by Jean-Luc VoirinTogether, these books provide in-depth coverage of Arcadia. However, these books show only finished diagrams. They don't cover the full sequence of steps needed to construct the models and the diagrams. The goal of Simple Arcadia for Beginners: Using Capella is to get you comfortable enough with Capella and the basics of Arcadia so that you can confidently construct common models. This book covers the basic Arcadia diagram types, showing detailed steps to construct simple models that demonstrate key concepts for each diagram type. If you work your way through all of the examples in this book, you should be on a strong footing to tackle more complex modeling problems when they come your way.Simple Arcadia for Beginners: Using Capella is a collaboration of two authors. For the Capella edition of the Simple for Beginners series, Pascal Roques provides in-depth knowledge of Arcadia and Capella. David Hetherington serves as the editor and adapts some of the material from the SysML books in the Series.FeaturesQuick start with the toolSimple Arcadia modeling examples40+ example model files500+ annotated screen capturesSolid foundation for further studyLimitationsTool Version - The first edition of this book was authored using Capella version 6.1. Future versions of Capella may have significant changes to the user interface.Tool Manual - This is a beginner's introduction and is not a comprehensive reference for every feature of the tool.Screen Captures - Most readers appreciate our approach of providing annotated screen captures of the actual tool. However, there are physical technology issues that limit the level of sharpness we can achieve in this format. A small number of readers of previous books in this series have expressed frustration on this point.
Artificial Neural Networks
Artificial Neural Networks represent a computational paradigm used in the development of intelligent systems. They are currently being used in various areas of human knowledge, particularly in areas where traditional computer systems do not allow for the development of systems that meet expectations, such as voice and image recognition. Another area where ANNs offer great modelling possibilities is complex behavioural phenomena. In this work, the production of biosurfactant by Candida lipolytica was modelled, given that biosurfactants have been used to replace artificial surfactants with impactful advantages for people's health and well-being, and are an essential element in the chemical and food industries.
From Sensor Networks to Customer Clicks
Data streams are defined as large sequences of data, gathered from sources such as sensor networks and customer click streams, that are possibly infinite and temporarily ordered [7, 22]. Instances in data streams arrive fast, either in batches of data, or instance-by-instance; each instance needs to be processed in a timely manner. Due to these characteristics, such as large amount of data and time constraints, tra-ditional static machine learning algorithms are unsuitable for direct use [7]. That is, techniques learning from data streams need to maintain their performance throughout the stream while limiting memory and processing time.
Building Bulletproof Software
"Building Bulletproof Software: How Formal Verification Saves the day" uses strong verbs and a touch of humor to grab attention. It highlights the importance of creating reliable software and suggests that formal verification is a key tool. We can expand on the title by mentioning the limitations of traditional methods. Many developers rely on black-box testing, which involves testing software functionality from an external user perspective. However, this approach can be like playing whack-a-mole, missing underlying issues that could lead to major failures. Here's an example that emphasizes the power of the approach: "Building Bulletproof Software: How Formal Verification Saves the Day." Software bugs can be a developer's worst enemy! Forget whack-a-mole testing - enter formal verification, the superhero of software development. This powerful technique uses math to mathematically prove software meets its specifications, eliminating hidden errors before they cause chaos. By embracing formal verification, you can build bulletproof software that inspires confidence and saves the day (and your sanity)!
From Chaos to Clarity
Data segmentation is the process of segmenting target data according to selected parameters and grouping similar data together so that we can use it more effectively. Segmentation can be done by one- or multi-dimensional segmentation algorithms through simple means, or it can be carried out using sophisticated analytical tech-niques based on the complexity and dimension of the dataset. Give a data F: [1, n] -> R^k the segmentation problem consists in finding a partition of the interval [1, n] into subintervals [a_i, b_i] such that F is well approximated by a prescribed type of function on each interval [a_i, b_i]. Multidimensional segmentation is a powerful conceptual model for analyzing large and complex data sets. By subdividing the data set into closely related areas. Multiple and independent segmentations of the whole data set are possible. Genome segmentation methods are powerful tools for obtaining cell-type or tissue-specific genome-wide annotations and are often used to discover regulatory elements. The segmentation of multivariate time series and -omic data is a common problem in computational biology in general. Over the years, and with increasingly complex measurement procedures, a single data point is usually not just a number or a simple vector, where all components are of the same type. Due to the potential impact of next-generation sequencing NGS, we have seen a rapid increase not only in genomic information but also in annotation information that can be naturally mapped to genomic locations.
Securing the System
"Securing the System" delves into formal methods, a rigorous approach to crafting software free from errors and vulnerabilities. Unlike traditional testing that identifies some bugs, formal methods use the power of mathematics to prove a system behaves exactly as designed. This book explores how formal methods can revolutionize software security by mathematically guaranteeing the absence of critical flaws. By mastering these techniques, you'll build secure systems resistant to cyberattacks, fostering trust and reliability in your software.
Combinatorial Algorithms
This book constitutes the refereed proceedings of the 35th International Workshop on Combinatorial Algorithms, IWOCA 2024, held in Ischia, Italy, during July 1-3, 2024. The 40 full papers included in this book were carefully reviewed and selected from 110 submissions. The IWOCA conference series has provided an annual forum for researchers who design algorithms to address the myriad combinatorial problems underlying computer applications in science, engineering, and business.
Rigorous State-Based Methods
This book constitutes the refereed proceedings of the 10th International Conference on Rigorous State-Based Methods, ABZ 2024, held in Bergamo, Italy, during June 25-28, 2024. The 29 papers included in this volume were carefully reviewed and selected from 47 submissions. They were organized in topical sections as follows: research papers; short research papers; case study; doctoral symposium.
Early Nerds
What are computer nerds really like? There are thousands of stories about how their brilliance and clever insight has led to our current tech world, but this is not one of those books.This is a collection of fictional stories about the early computer scientists from the 1970s and 1980s. Computer nerds appear in fiction quite often, typically as unappealing slobs who nevertheless save the day. The nerds in those stories are one-dimensional characters who exist only to advance the plot to its thrilling finale. Once again, this is not one of those books.The stories here present an honest view of the early nerds, and each of Rubin's characters is someone he knows, with their looks, traits, and back history intact. To protect them, he's changed their names, given them nicknames, and described things that were nearly true, but not completely. The nerds might well have done these things and perhaps should have, but it didn't always end that way. This is the human side of the nerd revolution, real people with complex lives they balanced while playing with computers, long before it became popular.
How to Create Amazing Prompts
How To Create Amazing Prompts - For Music, Videos & Images: Mastering the Art of AI Generation" is an essential guide for anyone eager to leverage AI to create stunning music, compelling videos, and captivating images. Whether you're a professional artist, passionate amateur or curious beginner, this book promises to elevate your AI-assisted creativity to new heights. The core of this guide is its detailed exploration of crafting effective prompts. It teaches you how to structure and phrase prompts to communicate your creative vision clearly to various AI generators. You will learn to generate harmonious musical compositions, storyboard dynamic video sequences, and create vivid, lifelike images using different AI tools. To bridge theory and practice, the book includes hundreds of meticulously crafted prompt examples. For music, you'll find prompts covering various keys and styles to help you generate compositions with emotional depth and technical precision. The video section offers prompts for action-packed storyboarding, guiding the AI to create sequences filled with tension and cinematic flair. The imagery section provides prompts to create dynamic, detailed visuals. Beginners will benefit from clear, step-by-step instructions and foundational knowledge, while experienced users will find advanced tips and nuanced insights. Professionals in creative industries will discover new ways to integrate AI generators into their workflows, boosting efficiency and innovation. It explains how subtle changes in wording can dramatically alter AI outputs, enabling you to consistently produce outstanding work. How To Create Amazing Prompts - For Music, Videos & Images is the perfect companion for anyone looking to dive into AI generation. With practical advice, extensive examples, and a deep understanding of effective prompting, this book empowers you to create incredible results and transform your creative process. Whether you're composing a symphony, storyboarding a blockbuster, or designing breathtaking visuals, this guide will help you achieve your artistic goals with cutting-edge AI technology.
Using AI in Marketing
In today's dynamic marketing landscape, artificial intelligence (AI) stands at the forefront of innovation, offering unprecedented opportunities for marketers. This book enables marketing professionals to harness the power of AI, featuring in-depth discussions on key topics such as generative AI, personalized customer experiences, team and workflow augmentation, and data analysis optimization. It is divided into four parts, each addressing a different aspect of AI and marketing. Part I covers the fundamentals of AI in marketing, including machine learning and generative AI. Part II explores growth areas for marketing and AI, using generative AI and customer journey personalization. Part III goes into detail about how to use AI, particularly generative AI tools, to enhance the marketing function. Part IV is about integration and optimization, providing insights on when and where to invest in AI and how to prepare your team for an AI-driven marketing future. FEATURES: Covers AI-based platforms for text, image, and video generation, revolutionizing content creationShows how AI can enhance customer interactions through personalized content and conversational AIExplores AI-automated workflows, improved reporting, and streamlined marketing processesFeatures AI analytics to optimize audience segmentation, predictive analytics, and marketing strategiesAddresses the ethical implications of AI in marketing, ensuring responsible and transparent use
Unconventional Computation and Natural Computation
This book constitutes the proceedings of the 21st International Conference on Unconventional Computation and Natural Computation, UCNC 2024, held in Pohang, South Korea, during June 17-21, 2024. The 19 full papers included in this book were carefully reviewed and selected from 27 submissions. Typical, but not exclusive, UCNC topics of interest include amorphous computing, cellular automata, chaos and dynamical systems-based computing, cellular, chemical, evolutionary, bacterial, molecular, neural and optical computing, collision-based computing, quantum computing, DNA computing, membrane computing, material computing and programmable matter, super-Turing computation, swarm intelligence, and other nature-inspired algorithms.
Developments in Language Theory
This book constitutes the refereed proceedings of the 28th International Conference on Developments in Language Theory, DLT 2024, held in G繹ttingen, Germany, during August 12-16, 2024. The 17 full papers and 4 invited papers included in this book were carefully reviewed and selected from 26 submissions. They presented current developments in formal languages and automata. The scope is very general and includes, among others, the following topics and areas: grammars, acceptors and transducers for words; trees and graphs; relations between formal languages and artificial neural networks; algebraic theories of automata; algorithmic, combinatorial, and algebraic properties of words and languages; variable length codes; symbolic dynamics; cellular automata; groups and semigroups generated by automata; polyominoes and multidimensional patterns; decidability questions; image manipulation and compression; efficient text algorithms; relationships to cryptography, concurrency, complexity theory, and logic; bio-inspired computing; and quantum computing.
Learning from Imperfections
The word images must be able to be described by parameters extracted from a Con-volutional Neural Network (CNN). This to determine what words look similar. The similarity of word images is what is used to create an alignment. The algorithm finds words that are common in the text and identifies these by the shape of the word image and its position on the page. It uses the features it creates for each image to return an alignment, linking words in the transcript to word images given the similarity of reoc-curring words in the text. These words are added as labelled images to a data set. A labelled data set of word images subsequently grows with each page shown to the algo-rithm and is used to facilitate better alignments on future pages. This yields not only a probable alignment of words to word images on a page but also a data set of labelled words.
