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Self-Improvement: Technologies of the Soul in the Age of Artificial Intelligence (No Limits)
by Mark CoeckelberghWe are obsessed with self-improvement; it’s a billion-dollar industry. But apps, workshops, speakers, retreats, and life hacks have not made us happier. Obsessed with the endless task of perfecting ourselves, we have become restless, anxious, and desperate. We are improving ourselves to death. The culture of self-improvement stems from philosophical classics, perfectionist religions, and a ruthless strain of capitalism—but today, new technologies shape what it means to improve the self. The old humanist culture has given way to artificial intelligence, social media, and big data: powerful tools that do not only inform us but also measure, compare, and perhaps change us forever.This book shows how self-improvement culture became so toxic—and why we need both a new concept of the self and a mission of social change in order to escape it. Mark Coeckelbergh delves into the history of the ideas that shaped this culture, critically analyzes the role of technology, and explores surprising paths out of the self-improvement trap. Digital detox is no longer a viable option and advice based on ancient wisdom sounds like yet more self-help memes: The only way out is to transform our social and technological environment. Coeckelbergh advocates new “narrative technologies” that help us tell different and better stories about ourselves. However, he cautions, there is no shortcut that avoids the ancient philosophical quest to know yourself, or the obligation to cultivate the good life and the good society.
The Self-Made Program Leader: Taking Charge in Matrix Organizations (Best Practices in Portfolio, Program, and Project Management #21)
by Steve TkalcevichAlmost all leadership books assume that the leader has authority over their team members. The challenge of project management in a matrix-structured environment is that this is not always the case. A whole new plan of attack has to be executed for the project manager to deliver in an organization where they do not have formal authority. This book t
Self-organising Software
by Marie-Pierre Gleizes Anthony Karageorgos Giovanna Di Marzo SerugendoSelf-organisation, self-regulation, self-repair and self-maintenance are promising conceptual approaches for dealing with complex distributed interactive software and information-handling systems. Self-organising applications dynamically change their functionality and structure without direct user intervention, responding to changes in requirements and the environment. This is the first book to offer an integrated view of self-organisation technologies applied to distributed systems, particularly focusing on multiagent systems. The editors developed this integrated book with three aims: to explain self-organisation concepts and principles, using clear definitions and a strong theoretical background; to examine how self-organising behaviour can be modelled, analysed and systematically engineered into agent behaviour; and to assess the types of problems that can be solved using self-organising multiagent systems. The book comprises chapters covering all three dimensions, synthesising up-to-date research work and the latest technologies and applications. The book offers dedicated chapters on concepts such as self-organisation, emergence in natural systems, software agents, stigmergy, gossip, cooperation and immune systems. The book then explains how to engineer artificial self-organising software, in particular it examines methodologies and middleware infrastructures. Finally, the book presents diverse applications of self-organising software, such as constraint satisfaction, trust management, image recognition and networking. The book will be of interest to researchers working on emergent phenomena and adaptive systems. It will also be suitable for use as a graduate textbook, with chapter summaries and exercises, and an accompanying website that includes teaching slides, exercise solutions and research project outlines. Self-organisation, self-regulation, self-repair and self-maintenance are promising conceptual approaches for dealing with complex distributed interactive software and information-handling systems. Self-organising applications dynamically change their functionality and structure without direct user intervention, responding to changes in requirements and the environment. This is the first book to offer an integrated view of self-organisation technologies applied to distributed systems, particularly focusing on multiagent systems. The editors developed this integrated book with three aims: to explain self-organisation concepts and principles, using clear definitions and a strong theoretical background; to examine how self-organising behaviour can be modelled, analysed and systematically engineered into agent behaviour; and to assess the types of problems that can be solved using self-organising multiagent systems. The book comprises chapters covering all three dimensions, synthesising up-to-date research work and the latest technologies and applications. The book offers dedicated chapters on concepts such as self-organisation, emergence in natural systems, software agents, stigmergy, gossip, cooperation and immune systems. The book then explains how to engineer artificial self-organising software, in particular it examines methodologies and middleware infrastructures. Finally, the book presents diverse applications of self-organising software, such as constraint satisfaction, trust management, image recognition and networking. The book will be of interest to researchers working on emergent phenomena and adaptive systems. It will also be suitable for use as a graduate textbook, with chapter summaries and exercises, and an accompanying website that includes teaching slides, exercise solutions and research project outlines.
Self-Organization in Continuous Adaptive Networks (River Publishers Series In Information Science And Technology Ser.)
by Anne-Ly Do Thilo GrossIn the last years, adaptive networks have been discovered simultaneously in different fields as a universal framework for the study of self-organization phenomena. Understanding the mechanisms behind these phenomena is hoped to bring forward not only empirical disciplines such as biology, sociology, ecology, and economy, but also engineering disciplines seeking to employ controlled emergence in future technologies. This volume presents new analytical approaches, which combine tools from dynamical systems theory and statistical physics with tools from graph theory to address the principles behind adaptive self-organization. It is the first class of approaches that is applicable to continuous networks. The volume discusses the mechanisms behind three emergent phenomena that are prominently discussed in the context of biological and social sciences:• synchronization,• spontaneous diversification, and• self-organized criticality.Self-organization in continuous adaptive networks contains extended research papers. It can serve as both, a review of recent results on adaptive self-organization as well as a tutorial of new analytical methodsSelf-organization in continuous adaptive networks is ideal for academic staff and master/research students in complexity and network sciences, in engineering, physics and maths.
Self-Organized Lightwave Networks: Self-Aligned Coupling Optical Waveguides
by Tetsuzo YoshimuraThis book gives a solution to the problem of constructing lightwave paths in free spaces by proposing the concept of a Self-Organized Lightwave Network (SOLNET). This concept enables us to form self-aligned coupling optical waveguides automatically. SOLNETs are fabricated by self-focusing of lightwaves in photosensitive media, in which the refractive index increases upon light beam exposure, to realize the following functions: 1) Optical solder: Self-aligned optical couplings between misaligned devices with different core sizes 2) Three-dimensional optical wiring 3) Targeting lightwaves onto specific objects SOLNETs are expected to reduce the efforts to implement lightwaves into electronic systems and allow us to create new architectures, thus reducing costs and energy dissipation and improving overall system performance. SOLNETs are also expected to be applied to a wide range of fields where lightwaves are utilized, for example, solar energy conversion systems and biomedical technologies, especially photo-assisted cancer therapies. Readers will systematically learn concepts and features of SOLNETs, SOLNET performance predicted by computer simulations, experimental demonstrations for the proof of concepts, and expected applications. They will also be prepared for future challenges of the applications. This book is intended to be read by scientists, engineers, and graduate students who study advanced optoelectronic systems such as optical interconnects within computers and optical networking systems, and those who produce new ideas or strategies on lightwave-related subjects.
Self-Organizing Migrating Algorithm
by Donald Davendra Ivan ZelinkaThis book brings together the current stateof-the-art research in Self Organizing Migrating Algorithm (SOMA) as a novelpopulation-based evolutionary algorithm, modeled on the predator-preyrelationship, by its leading practitioners. As the first ever book on SOMA, this book isgeared towards graduate students, academics and researchers, who are looking fora good optimization algorithm for their applications. This book presents themethodology of SOMA, covering both the real and discrete domains, and itsvarious implementations in different research areas. The easy-to-follow andimplement methodology used in the book will make it easier for a reader toimplement, modify and utilize SOMA.
Self-Organizing Networks
by Jun Li Songlin SunThis book constitutes the thoroughly refereed post-conference proceedings of the International ICST Conference on Self-Organizing Networks, ICSON 2015, held in January 2015 in Beijing, China. The 20 revised full papers presented were carefully reviewed and selected from 24 submissions and cover topics as resource allocation and management, signal processing and transmission, and multimedia service
Self-Powered Cyber Physical Systems
by Rathishchandra R. Gatti Chandra Singh Rajeev Agrawal Felcy Jyothi SerraoSELF-POWERED CYBER PHYSICAL SYSTEMS This cutting-edge new volume provides a comprehensive exploration of emerging technologies and trends in energy management, self-powered devices, and cyber-physical systems, offering valuable insights into the future of autonomous systems and addressing the urgent need for energy-efficient solutions in a world that is increasingly data-driven and sensor-rich. This book is an attempt to aim at a very futuristic vision of achieving self-powered cyber-physical systems by applying a multitude of current technologies such as ULP electronics, thin film electronics, ULP transducers, autonomous wireless sensor networks using energy harvesters at the component level and energy efficient clean energy for powering data centers and machines at the system level. This is the need of the hour for cyber-physical systems since data requires energy when it is stored, transmitted, or converted to other forms. Cyber-physical systems will become energy hungry since the industry trend is towards ubiquitous computing with massive deployment of sensors and actuators. This is evident in using blockchain technologies such as Bitcoin or running epochs for artificial intelligence (AI) applications. Hence, there is a need for research to understand energy patterns and distribution in cyber-physical systems and adopt new technologies to transcend to self-powered cyber-physical systems. This book explores the recent trends in energy management, self-powered devices, and methods in the cyber-physical world. Written and edited by a team of experts in the field, this book tackles a multitude of subjects related to cyber physical systems (CPSs), including self-powered sensory transducers, ambient energy harvesting for wireless sensor networks, actuator methods and non-contact sensing equipment for soft robots, alternative optimization strategies for DGDCs to improve task distribution and provider profits, wireless power transfer methods, machine learning algorithms for CPS and IoT applications, integration of renewables, electric vehicles (EVs), smart grids, RES micro-grid and EV systems for effective load matching, self-powered car cyber-physical systems, anonymous routing and intrusion detection systems for VANET security, data-driven pavement distress prediction methods, the impact of autonomous vehicles on industries and the auto insurance market, Intelligent transportation systems and associated security concerns, digital twin prototypes and their automotive applications, farming robotics for CPS farming, self-powered CPS in smart cities, self-powered CPS in healthcare and biomedical devices, cyber-security considerations, societal impact and ethical concerns, and advances in human-machine interfaces and explore the integration of self-powered CPS in industrial automation. Whether for the veteran engineer or student, this volume is a must-have for any library.
Self-Powered Internet of Things: How Energy Harvesters Can Enable Energy-Positive Sensing, Processing, and Communication (Green Energy and Technology)
by Muhammad Moid Sandhu Sara Khalifa Marius Portmann Raja JurdakThis book covers cutting edge advancements on self-powered Internet of Things, where sensing devices can be energy-positive while capturing context from the physical world. It provides new mechanisms for activity recognition without the need of conventional inertial sensors, which demand significant energy during their operation and thus quickly deplete the batteries of internet-of-things (IoT) devices. The book offers new solutions by employing energy harvesters as activity sensors as well as power sources to enable the autonomous and self-powered operation of IoT devices without the need of human intervention. It provides useful content for graduate students as well as researchers to understand the nascent technologies of human activity, fitness and health monitoring using autonomous sensors. In particular, this book is very useful for people working on pervasive computing, activity recognition, wearable IoT, fitness/healthcare and autonomous systems.This book covers a broad range of topics related to self-powered activity recognition. The main topics of this book include wearables, IoT, energy harvesting, energy harvesters as sensors, activity recognition and self-powered operation of IoT devices. This book starts with the introduction of wearable IoT devices and activity recognition and then highlights the conventional activity recognition mechanisms. After that, it describes the use of energy harvesters to power the IoT devices. Later, it explores the use of various energy harvesters as activity sensors. It also proposes the use of energy harvesters as simultaneous source of energy and context information and defines the emerging concept of energy-positive sensing compared to conventional energy-negative sensing. Finally, it explores sensor/signal fusion to enhance the performance using multiple energy harvesters and charts a way forward for future research in this area. This book covers all important and emerging topics that have significance in the design and implementation of autonomous wearable IoT devices. We believe that this book will lay the foundation for designing self-powered IoT devices which can ultimately replace the conventional wearable IoT devices which need regular recharging and replacement.
Self-Repair Networks
by Yoshiteru IshidaThisbook describes the struggle to introduce a mechanism that enablesnext-generation information systems to maintain themselves. Our generationobserved the birth and growth of information systems, and the Internet inparticular. Surprisingly information systems are quite different fromconventional (energy, material-intensive) artificial systems, and ratherresemble biological systems (information-intensive systems). Many artificialsystems are designed based on (Newtonian) physics assuming that every elementobeys simple and static rules; however, the experience of the Internet suggestsa different way of designing where growth cannot be controlled butself-organized with autonomous and selfish agents. This book suggests using gametheory, a mechanism design inparticular, for designing next-generation information systems which will beself-organized by collective acts with autonomous components. The challenge of mapping a probability to time appears repeatedly in many forms throughoutthis book. The book contains interdisciplinaryresearch encompassing game theory, complex systems, reliability theory andparticle physics. All devoted to its central theme: what happens ifsystems self-repair themselves?
Self-Representation and Digital Culture
by Nancy ThumimTaking a close look at ordinary people 'telling their own story', Thumim explores self-representations in contemporary digital culture in settings as diverse as reality TV, online storytelling, and oral histories displayed in museums. Now available in paperback, Self-Representation and Digital Culture addresses the institutional contexts of production, technology and form of the texts, and the point of view of those who represent themselves. This highly original research examines how contradictory and widely different politics inform and shape examples of 'speaking for oneself'. In the book, Thumim argues that analysis and theorization of the activity of self-representation is vital for media, communication and cultural studies at a time when examples, of what should now be understood as a genre, both surround us and appear, at first glance, to all be alike.
Self-Service AI mit Power BI: Maschinelles Lernen - Einblicke für Unternehmen
by Markus Ehrenmueller-JensenIn diesem Buch wird erklärt, wie Sie die in Power BI Desktop geladenen Daten durch den Zugriff auf eine Reihe von Funktionen der künstlichen Intelligenz (KI) anreichern können. Diese KI-Funktionen sind in Power BI Desktop integriert und helfen Ihnen, neue Erkenntnisse aus vorhandenen Daten zu gewinnen. Einige der Funktionen sind automatisiert und stehen Ihnen auf Knopfdruck oder durch das Schreiben von Datenanalyseausdrücken (DAX) zur Verfügung. Andere Funktionen sind durch das Schreiben von Code in den Sprachen R, Python oder M verfügbar. Dieses Buch eröffnet Ihnen die gesamte Palette der KI-Funktionen mit klaren Beispielen, die zeigen, wann sie am besten angewendet werden und wie Sie sie auf Ihre eigenen Datensätze anwenden können. Ganz gleich, ob Sie Geschäftsanwender, Analyst oder Datenwissenschaftler sind - Power BI verfügt über KI-Funktionen, die auf Sie zugeschnitten sind. In diesem Buch erfahren Sie, welche Arten von Erkenntnissen Power BI automatisch liefern kann. Sie erfahren, wie Sie die Sprachen R und Python für Statistiken integrieren und nutzen können, wie Sie beim Laden von Daten mit Cognitive Services und Azure Machine Learning Services zusammenarbeiten, wie Sie Ihre Daten durch Fragen in einfachem Englisch erkunden können ... und vieles mehr! Es gibt KI-Funktionen für die Entdeckung Ihrer Daten, die Charakterisierung unerforschter Datensätze und die Erstellung von Was-wäre-wenn-Szenarien. Es gibt viel zu mögen und von diesem Buch zu lernen, ob Sie ein Neuling in Power BI oder ein erfahrener Benutzer sind. Power BI Desktop ist ein frei verfügbares Tool zur Visualisierung und Analyse. Dieses Buch hilft Ihnen, das Beste aus diesem Tool herauszuholen, indem Sie einige seiner neuesten und fortschrittlichsten Funktionen nutzen. Was Sie lernen werden: - Stellen Sie Fragen in natürlicher Sprache und erhalten Sie Antworten aus Ihren Daten - Lassen Sie sich von Power BI erklären, warum sich ein bestimmter Datenpunkt von den anderen unterscheidet - Lassen Sie Power BI die wichtigsten Einflussfaktoren über Datenkategorien anzeigen - Zugriff auf die in der Azure-Cloud verfügbaren Funktionen für künstliche Intelligenz - Gehen Sie denselben Drilldown-Pfad in verschiedenen Teilen Ihrer Hierarchie - Laden Sie Visualisierungen, um Ihre Berichte intelligenter zu gestalten - Simulieren Sie Änderungen an Daten und sehen Sie sofort die Folgen - Kennen Sie Ihre Daten, noch bevor Sie Ihren ersten Bericht erstellen - Erstellen Sie neue Spalten, indem Sie Beispiele für die benötigten Daten angeben - Transformieren und visualisieren Sie Ihre Daten mit Hilfe von R- und Python-Skripten Für wen dieses Buch gedacht ist: Für den begeisterten Power BI-Anwender, der modernste Funktionen der künstlichen Intelligenz (KI) einsetzen möchte, um neue Erkenntnisse aus vorhandenen Daten zu gewinnen. Für Endanwender und IT-Fachleute, die sich nicht scheuen, in die neue Welt des maschinellen Lernens einzutauchen, und bereit sind, diesen Schritt zu tun und einen tieferen Blick in ihre Daten zu werfen. Für diejenigen, die von einfachen Berichten und Visualisierungen zu diagnostischen und prädiktiven Analysen übergehen wollen.
Self-Service AI with Power BI Desktop: Machine Learning Insights for Business
by Markus Ehrenmueller-JensenThis book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets.No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services and Azure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios.There’s much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user. Power BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features.What You Will LearnAsk questions in natural language and get answers from your dataLet Power BI explain why a certain data point differs from the restHave Power BI show key influencers over categories of dataAccess artificial intelligence features available in the Azure cloudWalk the same drill down path in different parts of your hierarchyLoad visualizations to add smartness to your reportsSimulate changes in data and immediately see the consequencesKnow your data, even before you build your first reportCreate new columns by giving examples of the data that you needTransform and visualize your data with the help of R and Python scriptsWho This Book Is ForFor the enthusiastic Power BI user who wants to apply state-of-the-art artificial intelligence (AI) features to gain new insights from existing data. For end-users and IT professionals who are not shy of jumping into a new world of machine learning and are ready to make that step and take a deeper look into their data. For those wanting to step up their game from doing simple reporting and visualizations by making the move into diagnostic and predictive analysis.
Self-Service Data Analytics and Governance for Managers
by Nathan E. Myers Gregory KoganProject governance, investment governance, and risk governance precepts are woven together in Self-Service Data Analytics and Governance for Managers, equipping managers to structure the inevitable chaos that can result as end-users take matters into their own hands Motivated by the promise of control and efficiency benefits, the widespread adoption of data analytics tools has created a new fast-moving environment of digital transformation in the finance, accounting, and operations world, where entire functions spend their days processing in spreadsheets. With the decentralization of application development as users perform their own analysis on data sets and automate spreadsheet processing without the involvement of IT, governance must be revisited to maintain process control in the new environment. In this book, emergent technologies that have given rise to data analytics and which form the evolving backdrop for digital transformation are introduced and explained, and prominent data analytics tools and capabilities will be demonstrated based on real world scenarios. The authors will provide a much-needed process discovery methodology describing how to survey the processing landscape to identify opportunities to deploy these capabilities. Perhaps most importantly, the authors will digest the mature existing data governance, IT governance, and model governance frameworks, but demonstrate that they do not comprehensively cover the full suite of data analytics builds, leaving a considerable governance gap. This book is meant to fill the gap and provide the reader with a fit-for-purpose and actionable governance framework to protect the value created by analytics deployment at scale. Project governance, investment governance, and risk governance precepts will be woven together to equip managers to structure the inevitable chaos that can result as end-users take matters into their own hands.
The Self-Service Data Roadmap: Democratize Data And Reduce Time To Insight
by Sandeep UttamchandaniData-driven insights are a key competitive advantage for any industry today, but deriving insights from raw data can still take days or weeks. Most organizations can’t scale data science teams fast enough to keep up with the growing amounts of data to transform. What’s the answer? Self-service data.With this practical book, data engineers, data scientists, and team managers will learn how to build a self-service data science platform that helps anyone in your organization extract insights from data. Sandeep Uttamchandani provides a scorecard to track and address bottlenecks that slow down time to insight across data discovery, transformation, processing, and production. This book bridges the gap between data scientists bottlenecked by engineering realities and data engineers unclear about ways to make self-service work.Build a self-service portal to support data discovery, quality, lineage, and governanceSelect the best approach for each self-service capability using open source cloud technologiesTailor self-service for the people, processes, and technology maturity of your data platformImplement capabilities to democratize data and reduce time to insightScale your self-service portal to support a large number of users within your organization
Self-Service in the Internet Age
by Celia Romm Livermore Fay Sudweeks David OliverThe Internet has emerged as a network which enables a vast range of interactions between businesses and government organizations and individuals. These interactions are classified as B2C (business to consumer), B2B (business to business) and C2C (consumer to consumer) creating ever growing forms of Internet connectedness. This connectedness enables a vast range of self-service opportunities via the Internet. Self-Service in the Internet Age explores attitudes and behaviors to this new form of self-service provision. It focuses on how services are used and viewed by those who choose to use or not use them in a variety of contexts such as personal banking, shopping, travel, education, and health.
Self-Sovereign Identity: Decentralized Digital Identity And Verifiable Credentials
by Alex Preukschat Drummond ReedIn Self-Sovereign Identity: Decentralized digital identity and verifiable credentials, you&’ll learn how SSI empowers us to receive digitally-signed credentials, store them in private wallets, and securely prove our online identities.Summary In a world of changing privacy regulations, identity theft, and online anonymity, identity is a precious and complex concept. Self-Sovereign Identity (SSI) is a set of technologies that move control of digital identity from third party &“identity providers&” directly to individuals, and it promises to be one of the most important trends for the coming decades. Now in Self-Sovereign Identity, privacy and personal data experts Drummond Reed and Alex Preukschat lay out a roadmap for a future of personal sovereignty powered by the Blockchain and cryptography. Cutting through the technical jargon with dozens of practical use cases from experts across all major industries, it presents a clear and compelling argument for why SSI is a paradigm shift, and shows how you can be ready to be prepared for it. About the technology Trust on the internet is at an all-time low. Large corporations and institutions control our personal data because we&’ve never had a simple, safe, strong way to prove who we are online. Self-sovereign identity (SSI) changes all that. About the book In Self-Sovereign Identity: Decentralized digital identity and verifiable credentials, you&’ll learn how SSI empowers us to receive digitally-signed credentials, store them in private wallets, and securely prove our online identities. It combines a clear, jargon-free introduction to this blockchain-inspired paradigm shift with interesting essays written by its leading practitioners. Whether for property transfer, ebanking, frictionless travel, or personalized services, the SSI model for digital trust will reshape our collective future. What's inside The architecture of SSI software and services The technical, legal, and governance concepts behind SSI How SSI affects global business industry-by-industry Emerging standards for SSI About the reader For technology and business readers. No prior SSI, cryptography, or blockchain experience required. About the authors Drummond Reed is the Chief Trust Officer at Evernym, a technology leader in SSI. Alex Preukschat is the co-founder of SSIMeetup.org and AlianzaBlockchain.org. Table of Contents PART 1: AN INTRODUCTION TO SSI 1 Why the internet is missing an identity layer—and why SSI can finally provide one 2 The basic building blocks of SSI 3 Example scenarios showing how SSI works 4 SSI Scorecard: Major features and benefits of SSI PART 2: SSI TECHNOLOGY 5 SSI architecture: The big picture 6 Basic cryptography techniques for SSI 7 Verifiable credentials 8 Decentralized identifiers 9 Digital wallets and digital agents 10 Decentralized key management 11 SSI governance frameworks PART 3: DECENTRALIZATION AS A MODEL FOR LIFE 12 How open source software helps you control your self-sovereign identity 13 Cypherpunks: The origin of decentralization 14 Decentralized identity for a peaceful society 15 Belief systems as drivers for technology choices in decentralization 16 The origins of the SSI community 17 Identity is money PART 4: HOW SSI WILL CHANGE YOUR BUSINESS 18 Explaining the value of SSI to business 19 The Internet of Things opportunity 20 Animal care and guardianship just became crystal clear 21 Open democracy, voting, and SSI 22 Healthcare supply chain powered by SSI 23 Canada: Enabling self-sovereign identity 24 From eIDAS to SSI in the European Union
Self-Sufficiency of an Autonomous Reconfigurable Modular Robotic Organism
by Raja Humza QadirThis book describes how the principle of self-sufficiency can be applied to a reconfigurable modular robotic organism. It shows the design considerations for a novel REPLICATOR robotic platform, both hardware and software, featuring the behavioral characteristics of social insect colonies. Following a comprehensive overview of some of the bio-inspired techniques already available, and of the state-of-the-art in re-configurable modular robotic systems, the book presents a novel power management system with fault-tolerant energy sharing, as well as its implementation in the REPLICATOR robotic modules. In addition, the book discusses, for the first time, the concept of "artificial energy homeostasis" in the context of a modular robotic organism, and shows its verification on a custom-designed simulation framework in different dynamic power distribution and fault tolerance scenarios. This book offers an ideal reference guide for both hardware engineers and software developers involved in the design and implementation of autonomous robotic systems.
The Self-Taught Computer Scientist: The Beginner's Guide to Data Structures & Algorithms
by Cory AlthoffThe Self-Taught Computer Scientist is Cory Althoff's follow-up to The Self-Taught Programmer, which inspired hundreds of thousands of professionals to learn how to program outside of school. In The Self-Taught Programmer, Cory showed readers why you don't need a computer science degree to program professionally and taught the programming fundamentals he used to go from a complete beginner to a software engineer at eBay without one. In The Self-Taught Computer Scientist, Cory teaches you the computer science concepts that all self-taught programmers should understand to have outstanding careers. The Self-Taught Computer Scientist will not only make you a better programmer; it will also help you pass your technical interview: the interview all programmers have to pass to land a new job. Whether you are preparing to apply for jobs or sharpen your computer science knowledge, reading The Self-Taught Computer Scientist will improve your programming career. It's written for complete beginners, so you should have no problem reading it even if you've never studied computer science before.
The Self-Taught Programmer: The Definitive Guide to Programming Professionally, 1st Edition
by Cory AlthoffI am a self-taught programmer. After a year of self-study, I learned to program well enough to land a job as a software engineer II at eBay. Once I got there, I realized I was severely under-prepared. I was overwhelmed by the amount of things I needed to know but hadn't learned yet. My journey learning to program, and my experience at my first job as a software engineer were the inspiration for this book. <P><P>This book is not just about learning to program; although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, I also cover the rest of the things you need to know to program professionally that classes and books don't teach you. "The Self-taught Programmer" is a roadmap, a guide to take you from writing your first Python program, to passing your first technical interview. I divided the book into five sections: <P><P> 1. Learn to program in Python 3 and build your first program. </br> 2. Learn Object-oriented programming and create a powerful Python program to get you hooked. </br> 3. Learn to use tools like Git, Bash, regular expressions and databases. Then use your new coding skills to build a web scraper. </br> 4. Study Computer Science fundamentals like data structures and algorithms.</br> 5. Finish with tips for working with a team and landing a programming job. <P><P>You CAN learn to program professionally. The path is there. Will you take it?
The Self-taught Programmer: The Definitive Guide to Programming Professionally
by Cory Althoff'One of the best software design books of all time' - BookAuthorityCory Althoff is a self-taught programmer. After a year of self-study, he learned to program well enough to land a job as a software engineer II at eBay. But once he got there, he realised he was severely under-prepared. He was overwhelmed by the amount of things he needed to know but hadn't learned. His journey learning to program, and his experience in first software engineering job were the inspiration for this book. This book is not just about learning to program, although you will learn to code. If you want to program professionally, it is not enough to learn to code; that is why, in addition to helping you learn to program, Althoff also cover the rest of the things you need to know to program professionally that classes and books don't teach you. The Self-taught Programmer is a roadmap, a guide to take you from writing your first Python program to passing your first technical interview. The book is divided into five sections: 1. Learn to program in Python 3 and build your first program. 2. Learn object-oriented programming and create a powerful Python program to get you hooked. 3. Learn to use tools like Git, Bash and regular expressions. Then use your new coding skills to build a web scraper. 4. Study computer science fundamentals like data structures and algorithms. 5. Finish with best coding practices, tips for working with a team and advice on landing a programming job.You can learn to program professionally. The path is there. Will you take it?From the authorI spent one year writing The Self-Taught Programmer. It was an exciting and rewarding experience. I treated my book like a software project. After I finished writing it, I created a program to pick out all of the code examples from the book and execute them in Python to make sure all 300+ examples worked properly. Then I wrote software to add line numbers and color to every code example. Finally, I had a group of 200 new programmers 'beta read' the book to identify poorly explained concepts and look for any errors my program missed. I hope you learn as much reading my book as I did writing it. Best of luck with your programming!
The Self-Tracking
by Gina Neff Dawn NafusPeople keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience -- in particular, health and wellness-related experience -- into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others.Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.
Self-Tracking: The Mit Press Essential Knowledge Series (The MIT Press Essential Knowledge series)
by Gina Neff Dawn NafusWhat happens when people turn their everyday experience into data: an introduction to the essential ideas and key challenges of self-tracking.People keep track. In the eighteenth century, Benjamin Franklin kept charts of time spent and virtues lived up to. Today, people use technology to self-track: hours slept, steps taken, calories consumed, medications administered. Ninety million wearable sensors were shipped in 2014 to help us gather data about our lives. This book examines how people record, analyze, and reflect on this data, looking at the tools they use and the communities they become part of. Gina Neff and Dawn Nafus describe what happens when people turn their everyday experience—in particular, health and wellness-related experience—into data, and offer an introduction to the essential ideas and key challenges of using these technologies. They consider self-tracking as a social and cultural phenomenon, describing not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others.Neff and Nafus consider what's at stake: who wants our data and why; the practices of serious self-tracking enthusiasts; the design of commercial self-tracking technology; and how self-tracking can fill gaps in the healthcare system. Today, no one can lead an entirely untracked life. Neff and Nafus show us how to use data in a way that empowers and educates.
Selfie Biometrics: Advances and Challenges (Advances in Computer Vision and Pattern Recognition)
by Ajita Rattani Reza Derakhshani Arun RossThis book highlights the field of selfie biometrics, providing a clear overview and presenting recent advances and challenges. It also discusses numerous selfie authentication techniques on mobile devices. Biometric authentication using mobile devices is becoming a convenient and important means of verifying identity for secured access and services such as telebanking and electronic transactions. In this context, face and ocular biometrics in the visible spectrum has gained increased attention from the research community. However, device mobility and operation in uncontrolled environments mean that facial and ocular images captured with mobile devices exhibit substantial degradation as a result of adverse lighting conditions, specular reflections and motion and defocus blur. In addition, low spatial resolution and the small sensor of front-facing mobile cameras further degrade the sample quality, reducing the recognition accuracy of face and ocular recognition technology when integrated into smartphones. Presenting the state of the art in mobile biometric research and technology, and offering an overview of the potential problems in real-time integration of biometrics in mobile devices, this book is a valuable resource for final-year undergraduate students, postgraduate students, engineers, researchers and academics in various fields of computer engineering.
The Selfie Generation: How Our Self-Images Are Changing Our Notions of Privacy, Sex, Consent, and Culture
by Alicia ElerWhether it's Kim Kardashian uploading picture after picture to Instagram or your roommate posting a mid-vacation shot to Facebook, selfies receive mixed reactions. But are selfies more than, as many critics lament, a symptom of a self-absorbed generation? Millennial Alicia Eler's The Selfie Generation is the first book to delve fully into this ubiquitous and much-maligned part of social media, including why people take them in the first place and the ways they can change how we see ourselves. Eler argues that selfies are just one facet of how we can use digital media to create a personal brand in the modern age. More than just a picture, they are an important part of how we live today. Eler examines all aspects of selfies, online social networks, and the generation that has grown up with them. She looks at how the boundaries between people’s physical and digital lives have blurred with social media; she explores questions of privacy, consent, ownership, and authenticity; and she points out important issues of sexism and double standards wherein women are encouraged to take them but then become subject to criticism and judgment. Alicia discusses the selfie as a paradox-both an image with potential for self-empowerment, yet also a symbol of complacency within surveillance culture The Selfie Generation explores just how much social media has changed the ways that people connect, communicate, and present themselves to the world.