Technically Together
Why we should not accept "networked individualism" as the inevitable future of community. If social interaction by social media has become "the modern front porch" (as one sociologist argues), offering richer and more various contexts for community and personal connection, why do we often feel lonelier after checking Facebook? For one thing, as Taylor Dotson writes in Technically Together, "Try getting a Facebook status update to help move a couch or stay for dinner." Dotson argues that the experts who assure us that "networked individualism" will only bring us closer together seem to be urging citizens to adapt their social expectations to the current limits of technology and discouraging them from considering how technologies could be refashioned to enable other ways of relating and belonging. Dotson characterizes different instantiations of community as "thick" or "thin," depending on the facets and manifestations of togetherness that they encompass. Individuating social networks are a form of community, he explains, but relatively thin in regard to several dimensions of communality. Dotson points out that current technological practices are not foreordained but supported by policies, economic arrangements, and entrenched patterns of thought. He examines a range of systems, organizations, and infrastructures--from suburban sprawl and smartphones to energy grids and "cry-it-out" sleep training for infants--and considers whether they contribute to the atomization of social life or to togetherness and community vibrancy. Dotson argues that technology could support multifaceted communities if citizens stopped accepting the technological status quo and instead demanded more from their ever-present devices.
Bits to Bitcoin
An accessible guide to our digital infrastructure, explaining the basics of operating systems, networks, security, and other topics for the general reader. Most of us feel at home in front of a computer; we own smartphones, tablets, and laptops; we look things up online and check social media to see what our friends are doing. But we may be a bit fuzzy about how any of this really works. In Bits to Bitcoin, Mark Stuart Day offers an accessible guide to our digital infrastructure, explaining the basics of operating systems, networks, security, and related topics for the general reader. He takes the reader from a single process to multiple processes that interact with each other; he explores processes that fail and processes that overcome failures; and he examines processes that attack each other or defend themselves against attacks. Day tells us that steps are digital but ramps are analog; that computation is about "doing something with stuff" and that both the "stuff" and the "doing" can be digital. He explains timesharing, deadlock, and thrashing; virtual memory and virtual machines; packets and networks; resources and servers; secret keys and public keys; Moore's law and Thompson's hack. He describes how building in redundancy guards against failure and how endpoints communicate across the Internet. He explains why programs crash or have other bugs, why they are attacked by viruses, and why those problems are hard to fix. Finally, after examining secrets, trust, and cheating, he explains the mechanisms that allow the Bitcoin system to record money transfers accurately while fending off attacks.
Machine Learning for Signal Processing
This book describes in detail the fundamental mathematics and algorithms of machine learning (an example of artificial intelligence) and signal processing, two of the most important and exciting technologies in the modern information economy. Taking a gradual approach, it builds up concepts in a solid, step-by-step fashion so that the ideas and algorithms can be implemented in practical software applications. Digital signal processing (DSP) is one of the 'foundational' engineering topics of the modern world, without which technologies such the mobile phone, television, CD and MP3 players, WiFi and radar, would not be possible. A relative newcomer by comparison, statistical machine learning is the theoretical backbone of exciting technologies such as automatic techniques for car registration plate recognition, speech recognition, stock market prediction, defect detection on assembly lines, robot guidance, and autonomous car navigation. Statistical machine learning exploits the analogy between intelligent information processing in biological brains and sophisticated statistical modelling and inference. DSP and statistical machine learning are of such wide importance to the knowledge economy that both have undergone rapid changes and seen radical improvements in scope and applicability. Both make use of key topics in applied mathematics such as probability and statistics, algebra, calculus, graphs and networks. Intimate formal links between the two subjects exist and because of this many overlaps exist between the two subjects that can be exploited to produce new DSP tools of surprising utility, highly suited to the contemporary world of pervasive digital sensors and high-powered, yet cheap, computing hardware. This book gives a solid mathematical foundation to, and details the key concepts and algorithms in this important topic.
Modeling, Simulation and Optimization of Fluid Dynamic Applications
This book describes recent collaborations combining the expertise of applied mathematicians, engineers and geophysicists within a research training group (RTG) on "Modeling, Simulation and Optimization of Fluid Dynamic Applications", funded by the Deutsche Forschungsgemeinschaft (DFG). The focus is on mathematical modeling, adaptive discretization, approximation strategies and shape optimization with PDEs. The balanced research program is based on the guiding principle that mathematics drives applications and is inspired by applications. With this leitmotif the RTG advances research in Modeling, Simulation and Optimization by an interdisciplinary approach, i.e., to stimulate fundamental education and research by highly complex applications and at the simultaneously transfer tailored mathematical methods to applied sciences. The reported research involves nine projects and addresses challenging fluid dynamic problems inspired by applied sciences, such as climate research & meteorology, energy, aerospace & marine engineering, or medicine. More fundamental research concerning analysis, approximation and numerics is also covered.The material represents a successful attempt to exchange research paradigms between different disciplines and thus displays a modern approach to basic research into scientifically and societally relevant contemporary problems.
Data Analysis and Mining
The research field of data analysis and mining has attracted the interest of both academia and industry in recent years. This reprint contains 17 papers, which cover different topics of the broad research field of data analysis and mining. Each paper presents new data mining algorithms and techniques, as well as applications of data analysis and mining in real-world domains.
Algorithmic Aspects of Cloud Computing
This book constitutes revised selected papers from the 8th International Symposium on Algorithmic Aspects of Cloud Computing, ALGOCLOUD 2023, held in Amsterdam, The Netherlands, on September 5, 2023. The 13 full papers included in this book were carefully reviewed and selected from 24 submissions. They focus on algorithmic aspects of computing and data management in modern cloud-based systems interpreted broadly so as to include edge- and fog-based systems, cloudlets, cloud micro-services, virtualization environments, decentralized systems, as well as dynamic networks.
Computational Intelligence Applied to Inverse Problems in Radiative Transfer
This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-depth exploration of heuristic optimization methods, each meticulously described and accompanied by historical context and natural process analogies.From simulated annealing and genetic algorithms to artificial neural networks, ant colony optimization, and particle swarms, this volume presents a wide range of heuristic methods. Additional approaches such as generalized extreme optimization, particle collision, differential evolution, Luus-Jaakola, and firefly algorithms are also discussed, providing a rich repertoire of tools for tackling challenging problems. While the applications showcased primarily focus on radiative transfer, their potential extends to various domains, particularly nonlinear and large-scale problems where traditional deterministic methods fall short. With clear and comprehensive presentations, this book empowers readers to adapt each method to their specific needs. Furthermore, practical examples of classical optimization problems and application suggestions are included to enhance your understanding. This book is suitable to any researcher or practitioner whose interests lie on optimization techniques based in artificial intelligence and bio-inspired algorithms, in fields like Applied Mathematics, Engineering, Computing, and cross-disciplinary areas.
Applications of Partial Differential Equations
Partial differential equations are indispensable for modeling various phenomena and processes, such as those in physics, biology, finance, and engineering. Finding solutions to partial differential equations using qualitative theories or quantitative methods, as well as the application of such investigations to real-world problems, has drawn a large amount of interest from researchers.This reprint encompasses all the articles that were accepted and published in this Special Issue titled "Applications of Partial Differential Equations ". We hope that these accepted and published papers will be impactful and motivate future research on partial differential equations for solving complex problems in various fields, disciplines, and applications.
Cyber Forensics Up and Running
Digital forensics is the art and science of extracting the hidden truth and this book is your hands-on companion, bringing the world of digital forensics to life. Starting with the core principles of digital forensics, the book explores the significance of various case types, the interconnectedness of the field with cybersecurity, and the ever-expanding digital world's challenges. As you progress, you will explore data acquisition, image formats, digital evidence preservation, file carving, metadata extraction, and the practical use of essential forensic tools like HxD, The Sleuth Kit, Autopsy, Volatility, and PowerForensics. The book offers step-by-step instructions, real-world case studies, and practical examples, ensuring that beginners can confidently set up and use forensic tools. Experienced professionals, on the other hand, will find advanced insights into memory analysis, network forensics, anti-forensic techniques, and more.
Computing and Combinatorics
This two volume set volume LNCS 14422-14423 constitutes the refereed proceedings of the 29th International Conference, COCOON 2023, held in Hawaii, HI, USA, during December 2023. The 60 full papers were carefully reviewed and selected from 146 submissions. They are organized in the following topical sections: Part I: Combinatorics and Algorithms; Algorithmic Solution in Applications; and Algorithm in Networks.Part II: Complexity and Approximation; Graph Algorithms; and Applied Algorithms.
Combinatorial Optimization and Applications
The two-volume set LNCS 14461 and LNCS 14462 constitutes the refereed proceedings of the 17th International Conference on Combinatorial Optimization and Applications, COCOA 2023, held in Hawaii, HI, USA, during December 15-17, 2023. The 73 full papers included in the proceedings were carefully reviewed and selected from 117 submissions. They were organized in topical sections as follows: Part I: Optimization in graphs; scheduling; set-related optimization; applied optimization and algorithm; Graph planer and others;Part II: Modeling and algorithms; complexity and approximation; combinatorics and computing; optimization and algorithms; extreme graph and others; machine learning, blockchain and others.
Computing and Combinatorics
This two volume set LNCS 14422-14423 constitutes the refereed proceedings of the 29th International Conference, COCOON 2023, held in Hawaii, HI, USA, during December 2023. The 60 full papers were carefully reviewed and selected from 146 submissions. They are organized in the following topical sections: Part I: Combinatorics and Algorithms; Algorithmic Solution in Applications; and Algorithm in Networks.Part II: Complexity and Approximation; Graph Algorithms; and Applied Algorithms.
Classification and Data Science in the Digital Age
The contributions gathered in this open access book focus on modern methods for data science and classification and present a series of real-world applications. Numerous research topics are covered, ranging from statistical inference and modeling to clustering and dimension reduction, from functional data analysis to time series analysis, and network analysis. The applications reflect new analyses in a variety of fields, including medicine, marketing, genetics, engineering, and education.The book comprises selected and peer-reviewed papers presented at the 17th Conference of the International Federation of Classification Societies (IFCS 2022), held in Porto, Portugal, July 19-23, 2022. The IFCS federates the classification societies and the IFCS biennial conference brings together researchers and stakeholders in the areas of Data Science, Classification, and Machine Learning. It provides a forum for presenting high-quality theoretical and applied works, and promoting and fostering interdisciplinary research and international cooperation. The intended audience is researchers and practitioners who seek the latest developments and applications in the field of data science and classification.
Why Bitcoin?
This book asks: what is Bitcoin? Why should we care? Sometimes the biggest challenge an innovative technology faces is a simple understanding by people of its potential. The more advanced and complex our technology becomes, the more difficult it is to explain. This does not reduce its usefulness, just slows its adoption. The author draws on his experiences in a variety of business sectors and as an instructor and lecturer to outline the three essential creations at the heart of Bitcoin and explain why they matter to everyone. These three components, an autonomous network, a finite supply, and an immutable ledger are each new tools that humans have never used before, especially not in such a productive combination. Keeping to a top-level view, Why Bitcoin? seeks to demonstrate to the thoughtful reader that, like automobiles or computers, understanding this technology will become essential knowledge for all, rather than the fad some make it out to be.
Tracing Genres Through Organizations
A sociocultural study of workers' ad hoc genre innovations and their significance for information design.In Tracing Genres through Organizations, Clay Spinuzzi examines the everyday improvisations by workers who deal with designed information and shows how understanding this impromptu creation can improve information design. He argues that the traditional user-centered approach to design does not take into consideration the unofficial genres that spring up as workers write notes, jot down ideas, and read aloud from an officially designed text. These often ephemeral innovations in information design are vital components in a genre ecology (the complex of artifacts mediating a given activity). When these innovations are recognized for what they are, they can be traced and their evolution as solutions to recurrent design problems can be studied. Spinuzzi proposes a sociocultural method for studying these improvised innovations that draws on genre theory (which provides the unit of analysis, the genre) and activity theory (which provides a theory of mediation and a way to study the different levels of activity in an organization).After defining terms and describing the method of genre tracing, the book shows the methodology at work in four interrelated studies of traffic workers in Iowa and their use of a database of traffic accidents. These workers developed an ingenious array of ad hoc innovations to make the database better serve their needs. Spinuzzi argues that these inspired improvisations by workers can tell us a great deal about how designed information fails or succeeds in meeting workers' needs. He concludes by considering how the insights reached in studying genre innovation can guide information design itself.
New Insights in Machine Learning and Deep Neural Networks
In this Special Issue we gathered ten exemplary papers, each delineating advancements within the spheres of machine learning and deep neural networks. Commencing with a thorough exploration by Figueira and Vaz, readers are introduced to the nuances of synthetic data generation and evaluation, followed closely by Silva and Pedroso's systematic approach to leveraging deep reinforcement learning within the intricate realm of delivery logistics. Kamran et al. contribute an astute methodology for camouflage object segmentation, whereas Pinheiro and collaborators offer a crafted semi-supervised strategy for predicting EGFR mutations via CT images. Subsequent contributions, such as Lee and Yoo's framework for portrait emotion recognition and Balakrishnan et al.'s analytical exploration of transformer models for Twitter disaster detection, further exemplify the depth of research contained herein. Later chapters cover a broad spectrum of themes: Li, Branco, and Zhang investigate house price prediction; Aziz and his team delve into the geo-spatial analysis of hate speech; Nazari, Branco, and Jourdan introduce innovations in GAN training methodologies; and Xie and Lin present CNN models meticulously tailored for ectopic beat classification. In its entirety, this Special Issue represents progressive strides in machine learning and deep neural networks made by distinguished scholars. It offers readers an insightful overview of both the current state-of-the-art methodologies and the burgeoning innovations within this exciting field.
A Beginners Guide to Amazon Web Services
This text introduces the amazon web services (AWS) platform and cloud computing tools and techniques through specifically curated projects with simple explanations for beginners. It makes use of amazon web services free tier to introduce Identity and Access Management, auto-scaling, and load balancing.
Topics in Artificial Intelligence Applied to Industry 4.0
Topics in Artificial Intelligence Applied to Industry 4.0 Forward thinking resource discussing emerging AI and IoT technologies and how they are applied to Industry 4.0 Topics in Artificial Intelligence Applied to Industry 4.0 discusses the design principles, technologies, and applications of emerging AI and IoT solutions on Industry 4.0, explaining how to make improvements in infrastructure through emerging technologies. Providing a clear connection with different technologies such as IoT, Big Data, AR and VR, and Blockchain, this book presents security, privacy, trust, and other issues whilst delving into real-world problems and case studies. The text takes a highly practical approach, with a clear insight on how readers can increase productivity by drastically shortening the time period between the development of a new product and its delivery to customers in the market by 50%. This book also discusses how to save energy across systems to ensure competitiveness in a global market, and become more responsive in how they produce products and services for their consumers, such as by investing in flexible production lines. Written by highly qualified authors, Topics in Artificial Intelligence Applied to Industry 4.0 explores sample topics such as: Quantum machine learning, neural network implementation, and cloud and data analytics for effective analysis of industrial data Computer vision, emerging networking technologies, industrial data spaces, and an industry vision for 2030 in both developing and developed nations Novel or improved nature-inspired optimization algorithms in enhancing Industry 5.0 and the connectivity of any components for smart environment Future professions in agriculture, medicine, education, fitness, R&D, and transport and communication as a result of new technologies Aimed at researchers and students in the interdisciplinary fields of Smart Manufacturing and Smart Applications, Topics in Artificial Intelligence Applied to Industry 4.0 provides the perfect overview of technology from the perspective of modern society and operational environment.
Innovations and Interdisciplinary Solutions for Underserved Areas
This book constitutes the refereed post-conference proceedings of the 6th EAI International Conference on Innovations and Interdisciplinary Solutions for Underserved Areas, InterSol 2023, held in Flic en Flac, Mauritius, in September 16-17, 2023. The 25 papers presented were selected from 73 submissions and issue different problems in underserved and unserved areas. They face problems in almost all sectors such as energy, water, communication, climate change, food, education, transportation, social development, and economic growth. The papers are clustered in tracks as follows: Intelligent Systems and Security; Blockchain and Machine Learning Algorithms; Sustainable Technologies and Environmental Impact; Digital Learning and Social Adoption; Networking Technology for Social Impact.
Advanced Mathematical Science for Mobility Society
This open access book presents the mathematical methods for huge data and network analysis.The automotive industry has made steady progress in technological innovations under the names of Connected Autonomous-Shared-Electric (CASE) and Mobility as a Service (MaaS). Needless to say, mathematics and informatics are important to support such innovations. As the concept of cars and movement itself is diversifying, they are indispensable for grasping the essence of the future mobility society and building the foundation for the next generation. Based on this idea, Research unit named "Advanced Mathematical Science for Mobility Society" was established at Kyoto University as a base for envisioning a future mobility society in collaboration with researchers led by Toyota Motor Corporation and Kyoto University.This book contains three main contents.1. Mathematical models of flow2. Mathematical methodsfor huge data and network analysis3. Algorithm for mobility societyThe first one discusses mathematical models of pedestrian and traffic flow, as they are important for preventing accidents and achieving efficient transportation. The authors mainly focus on global dynamics caused by the interaction of particles. The authors discuss many-body particle systems in terms of geometry and box-ball systems. The second one consists of four chapters and deals with mathematical technologies for handling huge data related to mobility from the viewpoints of machine learning, numerical analysis, and statistical physics, which also includes blockchain techniques. Finally, the authors discuss algorithmic issues on mobility society. By making use of car-sharing service as an example of mobility systems, the authors consider how to construct and analyze algorithms for mobility system from viewpoints of control, optimization, and AI.
Introduction to Data Science
This accessible and classroom-tested textbook/reference presents an introduction to the fundamentals of the interdisciplinary field of data science. The coverage spans key concepts from statistics, machine/deep learning and responsible data science, useful techniques for network analysis and natural language processing, and practical applications of data science such as recommender systems or sentiment analysis. Topics and features: Provides numerous practical case studies using real-world data throughout the book Supports understanding through hands-on experience of solving data science problems using Python Describes concepts, techniques and tools for statistical analysis, machine learning, graph analysis, natural language processing, deep learning and responsible data scienceReviews a range of applications of data science, including recommender systems and sentiment analysis of text data Provides supplementary code resources and data at an associated website This practically-focused textbook provides an ideal introduction to the field for upper-tier undergraduate and beginning graduate students from computer science, mathematics, statistics, and other technical disciplines. The work is also eminently suitable for professionals on continuous education short courses, and to researchers following self-study courses.
The Rational Software Engineer
This book will serve as a framework for you as a software engineer seeking a fulfilling career and wishing to stay passionate and maintain a healthy mental state. It is filled with protocols to achieve effective life-long learning, navigate career development, adapt to changes, maintain work-life balance, and have a healthy lifestyle.As a successful software engineer you tend to focus on improving your technical skills: learning a new programming language, mastering another tool, or using a library. But you also need to build a solid mental framework that will help you navigate your professional development. You need to develop the skills that will help you be a happy software engineer.This book will help you if you feel frustrated, unmotivated, or unhappy; lost in your career path; or uncertain if you want to be a software engineer. It can help you deal with burnout, high levels of stress, or depression; or if you struggle to be productive while working from home. What You Will LearnEfficiently organize your work dayKnow when and how to seek a new project, company, or careerTake care of your body and mind in a software engineering contextUnderstand what contributes to job satisfaction and how to integrate it into your careerUse non-coding activities for your and your company's benefitBuild healthy relationships with managers and colleaguesWho This Book Is ForThe typical reader of this book is a software engineer who is highly skilled in technical areas but may feel frustrated, unmotivated, or unhappy in their current position and looking for a way to navigate their professional development and find a healthy work-life balance.The book also will appeal to audiences of other IT or tech professionals, such as project managers, product owners, or designers, who work closely with software engineers and want to understand the challenges they face in their roles. Additionally, individuals who are considering a career in software engineering or development may benefit from the book by gaining insight into the profession and understanding the skills and mindset required to be successful.
Information-Driven Machine Learning
This groundbreaking book transcends traditional machine learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on experimental design for machine learning tasks, these techniques aim to overcome the 'black box' approach of machine learning by reducing conjectures such as magic numbers (hyper-parameters) or model-type bias. Information-based machine learning enables data quality measurements, a priori task complexity estimations, and reproducible design of data science experiments. The benefits include significant size reduction, increased explainability, and enhanced resilience of models, all contributing to advancing the discipline's robustness and credibility. While bridging the gap between machine learning and disciplines such as physics, information theory, and computer engineering, this textbook maintains an accessible and comprehensive style, making complex topics digestible fora broad readership. Information-Driven Machine Learning explores the synergistic harmony among these disciplines to enhance our understanding of data science modeling. Instead of solely focusing on the "how," this text provides answers to the "why" questions that permeate the field, shedding light on the underlying principles of machine learning processes and their practical implications. By advocating for systematic methodologies grounded in fundamental principles, this book challenges industry practices that have often evolved from ideologic or profit-driven motivations. It addresses a range of topics, including deep learning, data drift, and MLOps, using fundamental principles such as entropy, capacity, and high dimensionality. Ideal for both academia and industry professionals, this textbook serves as a valuable tool for those seeking to deepen their understanding of data science as an engineering discipline. Its thought-provoking content stimulates intellectual curiosity and caters to readers who desire more than just code or ready-made formulas. The text invites readers to explore beyond conventional viewpoints, offering an alternative perspective that promotes a big-picture view for integrating theory with practice. Suitable for upper undergraduate or graduate-level courses, this book can also benefit practicing engineers and scientists in various disciplines by enhancing their understanding of modeling and improving data measurement effectively.
Capturing News, Capturing Democracy
The Voice of America (VOA) is the oldest and largest US government-funded international media organization. In 2020, Donald Trump nominated Michael Pack, a right-wing documentarian and close friend of Steve Bannon, to lead the US Agency for Global Media - the independent federal agency overseeing US-funded international media. During Pack's seven month tenure, more than 30 whistleblowers filed complaints against him, and a judge ruled that he had infringed journalists' constitutional right to freedom of speech. How did such a major international public service media network become intensely politicized by government allies in such a short time, despite having its editorial independence protected by law? Capturing News, Capturing Democracy puts these events in historical and international context--and develops a new analytical framework for understanding government capture and its connection to broader processes of democratic backsliding. Drawing from in-depth interviews with network managers and journalists, and analysis of private correspondence and internal documents, Kate Wright, Martin Scott, and Mel Bunce analyze how political appointees, White House officials, and right-wing media influenced VOA-- changing its reporting of the Black Lives Matter movement, and the 2020 presidential election. The authors stress that leaving the VOA unprotected leaves it and other public media open to targeting by authoritarian leadership and poses serious risks to US democracy. Further, they offer practical recommendations for how to protect the network and other international public service media better in the future.
DevOps for Databases
Implement, automate, build, operate, and optimize databases and other data-persistent technologies efficiently by leveraging the right set of DevOps best practicesKey Features: Implement core operational capabilities via automated pipelines, including testing and rollbacksCreate infrastructure, deploy software, test execution, and monitor operations using the as-code strategyAutomate common implementation patterns for databases with declarative orchestration frameworksPurchase of the print or Kindle book includes a free PDF eBookBook Description: In today's rapidly evolving world of DevOps, traditional silos are a thing of the past. Database administrators are no longer the only experts; site reliability engineers (SREs) and DevOps engineers are database experts as well. This blurring of the lines has led to increased responsibilities, making members of high-performing DevOps teams responsible for end-to-end ownership. This book helps you master DevOps for databases, making it a must-have resource for achieving success in the ever-changing world of DevOps.You'll begin by exploring real-world examples of DevOps implementation and its significance in modern data-persistent technologies, before progressing into the various types of database technologies and recognizing their strengths, weaknesses, and commonalities. As you advance, the chapters will teach you about design, implementation, testing, and operations using practical examples, as well as common design patterns, combining them with tooling, technology, and strategies for different types of data-persistent technologies. You'll also learn how to create complex end-to-end implementation, deployment, and cloud infrastructure strategies defined as code.By the end of this book, you'll be equipped with the knowledge and tools to design, build, and operate complex systems efficiently.What You Will Learn: Apply DevOps best practices to data-persistent technologiesGet to grips with architectural-level design and implementationExplore the modern data journey and data modeling with database technologyMaster the operation of large-scale systems with zero-touch automationAchieve speed, resilience, security, and operability at different scalesDesign DevOps teams with end-to-end ownership modelsWho this book is for: This book is for newcomers as well as seasoned SREs, DevOps engineers, and system engineers who are interested in large-scale systems with a heavy focus on data-persistent technologies. Database administrators looking to level up in the world of DevOps will also find this book helpful. Experience with cloud Infrastructure, basic development, and operations will help you get the most out of this book.
Computational Intelligence in Communications and Business Analytics
This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27-28, 2023.The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.
Digital Transformation Roadmap
Whether you're a business leader, strategist, or tech enthusiast, this book equips you with actionable insights, practical strategies, and a forward-thinking mindset to drive change and thrive in the digital landscape.
Computational Intelligence in Communications and Business Analytics
This two-volume set constitutes the refereed proceedings of the 5th International Conference on Computational Intelligence in Communications and Business Analytics, CICBA 2023, held in Kalyani, India, during January 27-28, 2023.The 52 full papers presented in this volume were carefully reviewed and selected from 187 submissions. The papers present recent research on intersection of computational intelligence, communications, and business analytics, fostering international collaboration and the dissemination of cutting-edge research.
Digital Transformation Roadmap
Whether you're a business leader, strategist, or tech enthusiast, this book equips you with actionable insights, practical strategies, and a forward-thinking mindset to drive change and thrive in the digital landscape.
Foundations of Quantum Programming
Foundations of Quantum Programming, Second Edition provides a systematic exposition of the subject of quantum programming. Emphasis is placed on foundational concepts, methods, and techniques that can be widely used for various quantum programming models and languages. The book describes how programming methodologies developed for current computers can be extended for quantum computers, along with new programming methodologies that can effectively exploit the unique power of quantum computing. In addition, this resource introduces a chain of quantum programming models from sequential to parallel and distributed programming in the paradigm of superposition-of-data to the paradigm of superposition-of-programs. Final content presents a series of logical and mathematical tools for verification and analysis of quantum programs, including invariant generation, termination analysis, and abstract interpretation.
Documenting the Future: Navigating Provenance Metadata Standards
This book explores provenance, the study and documentation of how things come to be. Traditionally defined as the origins, source, or ownership of an artifact, provenance today is not limited to historical domains. It can be used to describe what did happen (retrospective provenance), what could happen (subjunctive provenance), or what will happen (prospective provenance). Provenance information is ubiquitous and abundant; for example, a wine label that details the winery, type of grape, and country of origin tells a provenance story that determines the value of the bottle. This book presents select standards used in organizing provenance information and provides concrete examples on how to implement them. Provenance transcends disciplines, and this book is intended for anyone who is interested in documenting workflows and recipes. The goal is to empower readers to frame and answer provenance questions for their own work. Provenance is increasingly important in computational workflows and e-sciences and addresses the need for a practical introduction to provenance documentation with simple-to-use multi-disciplinary examples and activities. Case studies and examples address the creation of basic records using a variety of provenance metadata models, and the differences between PROV, ProvONE, and PREMIS are discussed. Readers will gain an understanding of the uses of provenance metadata in different domains and sectors in order to make informed decisions on their use. Documenting provenance can be a daunting challenge, and with clear examples and explanations, the task will be less intimidating to explore provenance needs.
Understanding Information History
Microhistory is a technique that has been used effectively by writers of both fiction and nonfiction. It enables the author to cut through the complexities of large swaths of history by focusing on a particular time and place. Microhistories are particularly useful in historical study when a subfield has recently arisen and there are not yet enough monographic studies from which to draw general patterns. This microhistory focuses on a single year (1920) across the United States, with the goal of understanding the various roles of information in this society. It gives greater emphasis to the informational aspects of traditional historical topics such as farming, government bureaucracy, the Spanish flu pandemic, and Prohibition; and it gives greater attention to information-rich topics such as libraries and museums, schools and colleges, the financial services and office machinery industries, scientific research institutions, and management consultancies.
Recent Advances in Computing Sciences
The 1st International Conference on Recent Advances in Computing Sciences (RACS-2022) organized by the School ofComputer Application, Lovely Professional University, Jalandhar, Punjab from 4th to 5th November, 2022.The conference focuses on discussing issues, exchanging ideas, and the most recent innovations towards the advancementof research in the field of Computing Sciences and Technology. All technical sessions were predominantlyrelated to Data Science, Artificial Intelligence, Remote Sensing, Image Processing, Computer Vision, Data Forensics, Cyber Security, Computational Sciences, Simulation & Modelling, Business Analytics, and Machine Learning.The main objective of this conference is to provide a common platform for academia and industry to discuss varioustechnological challenges and share cognitive thoughts. It provided a thought-provoking platform to discuss anddisseminate novel solutions for real-world problems in a dynamic and changing technological environment. The mainsuccess of RACS-2022 is to give an opportunity for the participants to enhance their knowledge of recent computingtechnologies.
Broadcast Data Systems
Broadcast Data Systems (1990) looks at the broadcasting technology of data transmission over TV and radio channels - commonly known as teletext and RDS. It describes the development of the technology, together with the various aspects of its coding and transmission.
Fundamentals of Data Science
Fundamentals of Data Science: Theory and Practice presents basic and advanced concepts in data science along with real-life applications. The book provides students, researchers and professionals at different levels a good understanding of the concepts of data science, machine learning, data mining and analytics. Users will find the authors' research experiences and achievements in data science applications, along with in-depth discussions on topics that are essential for data science projects, including pre-processing, that is carried out before applying predictive and descriptive data analysis tasks and proximity measures for numeric, categorical and mixed-type data. The book's authors include a systematic presentation of many predictive and descriptive learning algorithms, including recent developments that have successfully handled large datasets with high accuracy. In addition, a number of descriptive learning tasks are included.
Programming Language Design and Implementation
This textbook is intended as a guide for programming-language designers and users to better help them understand consequences of design decisions.The text aims to provide readers with an overview of the design space for programming languages and how design choices affect implementation. It is not a classical compilers book, as it assumes the reader is familiar with basic compiler implementation techniques; nor is it a traditional comparative programming languages book, because it does not go into depth about any particular language, instead taking examples from a wide variety of programming languages to illustrate design concepts. Readers are assumed to already have done at least a bit of programming in functional, imperative, and object-oriented languages.Topics and features: Provides topic-by-topic coverage of syntax, types, scopes, memory management and moreIncludes many technical exercises and discussion exercisesInspires readers to think about language design choices, how these interact, and how they can be implementedCovers advanced topics such as formal semantics and limits of computationSuitable for advanced undergraduates and beginning graduates, this highly practical and useful textbook/guide will also offer programming language professionals a superb reference and learning toolkit.
The Complete One-Day Preparation for the CISCO IPv6 A Certification Guide for a part of the CCNA Exam 200-301 with Questions and Answers
The Complete One-Day Preparation for the CISCO IPv6, A Certification Guide for a part of the CCNA Exam 200-301 with Questions and Answers covers all official IPv6 CCNA test objectives in detail. The book employs many highly professional figures, exhibits, tables, configurations, and real-world internetworking scenarios to clarify the needed principles. It also provides current information on the most recent Cisco technologies. Thaar AL_Taiey, the author, highlights important information, describes necessary procedures, and identifies exam essentials. This preparatory guide explains the topics so the student can easily understand them. After studying this guide, students can put their knowledge to the test by answering more than fifty test-like questions similar to those on the actual exam. Multiple-choice-single-answer, multiple-choice-multiple-answer, and fill-in-the-blank questions are examples of question types. The chapters organize the information in the following manner: - A chapter topic description- A central topic exposition- A chapter summary- A command reference- A list of suggested learning questions The Complete One-Day Preparation for the CISCO IPv6 is a one-day study guide that gives students everything they need to excel on the IPv6 part of the CCNA test. This certification guide simplifies even the most challenging internetworking principles. Designed and arranged for both complete beginners and Cisco internetworking specialists. The Complete One-Day Preparation for the CISCO IPv6 provides students with the foundation they need to pass the CCNA test confidently. This book thoroughly covers the following CISCO CCNA IPv6 topics: IPv6 Internetworking Essentials, IPv6 Addressing and Subnetting, IPv6 Addressing on Routers, IPv6 Routing, and IPv6 Neighbor Discovery Protocol.
Cryptography And Computer Science
���� Unveil the Secrets of Digital Security with "Cryptography and Computer Science" Bundle! ����Are you ready to explore the thrilling world of cryptography and computer science? Dive into the depths of digital secrecy, protection, and innovation with our comprehensive book bundle, the "Cryptography and Computer Science: Design Manual for Algorithms, Codes, and Ciphers."���� Book 1 - Introduction to Cryptography: A Beginner's Guide ���� Perfect for beginners, this guide demystifies the world of cryptography, making complex concepts accessible to all. ���� Explore encryption, decryption, keys, and foundational principles that secure our digital world.���� Book 2 - Cryptographic Algorithms and Protocols: A Comprehensive Guide ���� Take a deeper dive into the core of cryptography. ���� Discover the inner workings of cryptographic algorithms and protocols that safeguard online communications, transactions, and data.���� Book 3 - Advanced Cryptanalysis: Breaking Codes and Ciphers ���� Uncover the secrets of code-breaking. ���� Explore classical and contemporary cryptanalysis techniques, and think like a cryptanalyst.���� Book 4 - Cutting-Edge Cryptography: Emerging Trends and Future Directions ���� Project yourself into the future of cryptography. ���� Stay ahead of the curve with insights into quantum computing, post-quantum cryptography, and emerging cryptographic trends.Why Choose Our Bundle? ✅ Unlock the secrets of digital security and challenge your intellect. ✅ Whether you're a beginner or a pro, these books cater to all levels of expertise. ✅ Prepare for the future of cryptography and stay at the forefront of digital security.Get Your Bundle Today! ���� Don't miss out on this exclusive opportunity to master cryptography and computer science. ���� Grab the "Cryptography and Computer Science" bundle now and embark on a thrilling journey into the world of digital security!���� Secure your copy today and embrace the future of digital protection! ����
ISO 27001/ISO 27002
ISO 27001/ISO 27002 - A guide to information security management systems ISO 27001 is one of the leading information security standards. It offers an internationally recognised route for organisations of all sizes and industries to adopt and demonstrate effective, independently verified information security. Information is the lifeblood of the modern world. It is at the heart of our personal and working lives, yet all too often control of that information is in the hands of organisations, not individuals. As a result, there is ever-increasing pressure on those organisations to ensure the information they hold is adequately protected. Demonstrating that an organisation is a responsible custodian of information is not simply a matter of complying with the law - it has become a defining factor in an organisation's success or failure. The negative publicity and loss of trust associated with data breaches and cyber attacks can seriously impact customer retention and future business opportunities, while an increasing number of tender opportunities are only open to those with independently certified information security measures. Understand how information security standards can improve your organisation's security and set it apart from competitors with this introduction to the 2022 updates of ISO 27001 and ISO 27002.
Health Care in the Information Society Vol. 1
In this fascinating book David Ingram traces the history of information technology and health informatics from its pioneers in the middle of the twentieth century to its latest developments.The book is distinctive in its broad scope and coverage and as the eyewitness account of an author who became the first UK professor appointed with the mission to bridge information technology with everyday medicine, health, and care. In this role, he has been a co-founder and leader of two rapidly growing initiatives, openEHR and OpenEyes, which stem from international collaborations of universities, health services and industries. These open source and open platform technologies have struck a widely resonant chord worldwide through their focus on community interest endeavours and open access to their methods and outputs.Set against the history of extremely costly, burdensome, and serially unsuccessful top-down attempts of governments to tackle the domain, the book argues for a greater focus on shared endeavours of this kind, contributing towards a standardized care information utility that incorporates methods and resources evolved, shared, and sustained in the public domain.As information technologies are now at the very core of health care, shaping the relationship between medical services and communities, professions, organisations and industries this book is important reading for politicians, health care academics, administrators and providers, and to anybody interested in the future of health services in the digital age.
Health Care in the Information Society Vol. 1
In this fascinating book David Ingram traces the history of information technology and health informatics from its pioneers in the middle of the twentieth century to its latest developments.The book is distinctive in its broad scope and coverage and as the eyewitness account of an author who became the first UK professor appointed with the mission to bridge information technology with everyday medicine, health, and care. In this role, he has been a co-founder and leader of two rapidly growing initiatives, openEHR and OpenEyes, which stem from international collaborations of universities, health services and industries. These open source and open platform technologies have struck a widely resonant chord worldwide through their focus on community interest endeavours and open access to their methods and outputs.Set against the history of extremely costly, burdensome, and serially unsuccessful top-down attempts of governments to tackle the domain, the book argues for a greater focus on shared endeavours of this kind, contributing towards a standardized care information utility that incorporates methods and resources evolved, shared, and sustained in the public domain.As information technologies are now at the very core of health care, shaping the relationship between medical services and communities, professions, organisations and industries this book is important reading for politicians, health care academics, administrators and providers, and to anybody interested in the future of health services in the digital age.
Health Care in the Information Society
In this fascinating book David Ingram traces the history of information technology and health informatics from its pioneers in the middle of the twentieth century to its latest developments.The book is distinctive in its broad scope and coverage and as the eyewitness account of an author who became the first UK professor appointed with the mission to bridge information technology with everyday medicine, health, and care. In this role, he has been a co-founder and leader of two rapidly growing initiatives, openEHR and OpenEyes, which stem from international collaborations of universities, health services and industries. These open source and open platform technologies have struck a widely resonant chord worldwide through their focus on community interest endeavours and open access to their methods and outputs.Set against the history of extremely costly, burdensome, and serially unsuccessful top-down attempts of governments to tackle the domain, the book argues for a greater focus on shared endeavours of this kind, contributing towards a standardized care information utility that incorporates methods and resources evolved, shared, and sustained in the public domain.As information technologies are now at the very core of health care, shaping the relationship between medical services and communities, professions, organisations and industries this book is important reading for politicians, health care academics, administrators and providers, and to anybody interested in the future of health services in the digital age.
Health Care in the Information Society
In this fascinating book David Ingram traces the history of information technology and health informatics from its pioneers in the middle of the twentieth century to its latest developments.The book is distinctive in its broad scope and coverage and as the eyewitness account of an author who became the first UK professor appointed with the mission to bridge information technology with everyday medicine, health, and care. In this role, he has been a co-founder and leader of two rapidly growing initiatives, openEHR and OpenEyes, which stem from international collaborations of universities, health services and industries. These open source and open platform technologies have struck a widely resonant chord worldwide through their focus on community interest endeavours and open access to their methods and outputs.Set against the history of extremely costly, burdensome, and serially unsuccessful top-down attempts of governments to tackle the domain, the book argues for a greater focus on shared endeavours of this kind, contributing towards a standardized care information utility that incorporates methods and resources evolved, shared, and sustained in the public domain.As information technologies are now at the very core of health care, shaping the relationship between medical services and communities, professions, organisations and industries this book is important reading for politicians, health care academics, administrators and providers, and to anybody interested in the future of health services in the digital age.
Ultimate Neural Network Programming with Python
Master Neural Networks for Building Modern AI Systems.DESCRIPTIONThis book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.Throughout the chapters, readers are engaged with the book through practice exercises, and supplementary learnings. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding.This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry.TABLE OF CONTENTS 1. Understanding AI History2. Setting up Python Workflow for AI Development3. Python Libraries for Data Scientists4. Foundational Concepts for Effective Neural Network Training5. Dimensionality Reduction, Unsupervised Learning and Optimizations6. Building Deep Neural Networks from Scratch7. Derivatives, Backpropagation, and Optimizers8. Understanding Convolution and CNN Architectures9. Understanding Basics of TensorFlow and Keras10. Building End-to-end Image Segmentation Pipeline11. Latest Advancements in AIIndex
The Musician's Ai Handbook
The Musician's Ai Handbook is a comprehensive look at how musicians, artists, songwriters, producers, and anyone in the music business can use artificial intelligence as a highly creative tool to generate new ideas and help to promote their music. It's packed with useful how-to's to help you get the most out of just about any Ai platform, while showing you skills and fundamentals that won't become outdated.Part 1 of the book explains Ai's buzzwords in a way that anyone can understand, then takes a look at the many gray areas of Ai copyright that users must be concerned with. Part 2 looks at using Ai composition and production platforms to develop new song and lyric ideas, and how the many Ai audio tools and plugins, and the Ai mixing and mastering platforms, can lift your songs to a pro level. Finally, Part 3 covers the latest in Ai graphics and video generation, as well as the best ways to use Ai chatbots for music business and promotion.Topics include: How Ai music generation really works so you'll know what it can and can't doWhy looking closely at Ai copyright can save you from legal problems down the roadHow a well-crafted megaprompt can generate the best Ai resultsHow to use Ai audio tools for compression, EQ, limiting, reverb, noise reduction, track separation, and song analysis to make your mixes sound more professionalEverything you wanted to know about virtual singers and voice cloning to take your song's vocals to another levelTips for using Ai composition platforms to generate new song and lyric ideas that you never would have thought ofGetting the most from Ai music video-generation platformsHow to use Ai image generation to create pro-level graphics and branding Why using a chatbot to design music marketing and release plans can save you moneyAnd much more.If you're worried that Ai will sap your creativity or move too fast for you to keep up, then The Musician's Ai Handbook will put your mind at ease as it proves that artificial intelligence is just an extremely helpful tool. Follow renowned author, teacher, producer and engineer Bobby Owsinski as he takes you through everything you need to know to make Ai the best music friend you've ever had.
Installing and Configuring Windows Server 2022
Beginning with an introduction to computer networks and Windows Server 2022, this book takes you through the initial stages of installing and configuring Windows Server 2022. It then covers the post-installation activities that must be performed within the Windows Server 2022 framework. As you continue reading the book, it delves into advanced aspects of Windows Server 2022 operation, such as installing various roles and configuring client/server network services like Active Directory Domain Services (AD DS), Domain Name System (DNS), Dynamic Host Configuration Protocol (DHCP), Windows Deployment Services (WDS), Print and Document Services (PDS), Windows Server Update Services (WSUS), Web Server, Hyper-V, and other critical network services.
From COVID-19 to Resilience
The present reprint contains 11 articles accepted for publication and published in the Special Issue From COVID-19 to Resilience: Quantitative Methods in Economics and Business of the MDPI Mathematics journal. These articles cover a wide range of topics analyzing economics and business situations during and post the COVID-19 pandemic. It is hoped that these selected research papers will be found to be impactful by the international scientific community and that these papers will facilitate further research on quantitative techniques for solving complex problems in various disciplines and application fields.
