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Angewandte Netzwerktechnik kompakt: Dateiformate, Übertragungsprotokolle und ihre Nutzung in Java-Applikationen (IT kompakt)
by Valentin PlenkErfahren Sie mit diesem Buch alles über die angewandte NetzwerktechnikIm privaten Bereich spielt Netzwerktechnik eine eher untergeordnete Rolle. Dabei sorgt sie erst dafür, dass die Kommunikation via Internet funktioniert. Der industrielle Sektor hat die Vorteile des Datenaustauschs mit Hilfe von Netzwerken allmählich erkannt. Doch erst im Rahmen der „Industrie 4.0“ wird laut Valentin Plenk die Datenübertragung in Echtzeit mehr Bedeutung gewinnen. Mit Blick auf diese Entwicklung stellt er in seinem Buch im Sinne der angewandten Netzwerktechnik speziell die höheren Schichten der Netzwerktechnik in den Fokus. Dieses kompakte Lehrbuch zeigt Ihnen anhand von konkreten, in Java ausprogrammierten Beispielen, wie Informationen zwischen Systemen über ein Netzwerk ausgetauscht werden können. Pro Kapitel behandelt dieses Netzwerktechnik-Buch ein bestimmtes Thema. Nach der Einführung in die Grundlagen der Kommunikation geht der Autor zunächst auf Java-Streams, Zeichencodierung sowie die Netzwerkanalyse mit Wireshark ein. Anschließend schenkt Plenk speziell folgenden Datenaustauschformaten sowie Protokollen besonderes Augenmerk:• JSON• HTML• HTTP• OPC UA• TCP/IP• UDP/IPKonkrete Beispiele und Übungen geben Ihnen PraxiseinblickeAuf diese Weise deckt dieses Buch über die angewandte Netzwerktechnik den gesamten Bereich technischer Kommunikation ab, von den Netzwerkprotokollen bis hin zum Versenden von Netzwerktelegrammen. Durch diese breite Themenauswahl bekommen Sie als Leser ein tieferes Verständnis für die typischen Problemstellungen in der Anwendung der Netzwerktechnik. Sie erfahren mehr über die Darstellung von Daten in einem bestimmten Dateiformat und wie Sie Daten mittels Standardprotokollen austauschen können. Zudem lernen Sie, wie Sie eigene, einfache Protokolle auf der Basis von TCP/IP erstellen können. Schwerpunkt des Buches bildet dabei immer die Anwendung von Netzwerken.Mit Hilfe zahlreicher Übungsaufgaben (inklusive Lösungsvorschlägen) sowie Anwendungsbeispielen können Sie Ihren persönlichen Kenntnisstand überprüfen und das Gelernte vertiefen. So sind Sie ideal auf die Praxis vorbereitet. Die zweite Auflage des Buchs „Angewandte Netzwerktechnik kompakt“ wurde um den Themenbereich Webservices ergänzt. Im Abschnitt zu UDP/IP finden Sie jetzt außerdem hilfreiche Codebeispiele für Broadcast und Multicast.
Overdeliver: Build a Business for a Lifetime Playing the Long Game in Direct Response Marketing
by Brian KurtzBrian Kurtz is the bridge connecting the bedrock fundamentals of direct response marketing to the state-of-the-art strategies, tactics, and channels of today. Overdeliver distills his expertise from working in the trenches over almost four decades to help readers build a business that maximizes both revenue and relationships.Marketing isn't everything, according to Brian Kurtz.It's the only thing.If you have a vision or a mission in life, why not share it with millions instead of dozens?And while you are sharing it with as many people as possible and creating maximum impact, why not measure everything and make all of your marketing accountable?That's what this book is all about.In the world of direct marketing, Brian Kurtz has seen it all and done it all over almost four decades. And he lives by the philosophy, "Those who did it have a responsibility to teach it." Here's a small sample of what you'll learn: * The 4 Pillars of Being Extraordinary * The 5 Principles of why "Original Source" matters * The 7 Characteristics that are present in every world class copywriter * Multiple ways to track the metrics that matter in every campaign and every medium, online and offline * Why customer service and fulfillment are marketing functions * That the most important capital you own has nothing to do with money * And much moreWhether you're new to marketing or a seasoned pro, this book gives you a crystal-clear road map to grow your business, make more money, maximize your impact in your market, and love what you're doing while you're doing it. Kurtz takes you inside the craft to help you use all the tools at your disposal--from the intricate relationship between lists, offers, and copy, to continuity and creating lifetime value, to the critical importance of multichannel marketing and more--so you can succeed wildly, exceed all your expectations, and overdeliver every time.
Data Visualization Made Simple: Insights into Becoming Visual
by Kristen SosulskiData Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With foundations rooted in statistics, psychology, and computer science, data visualization offers practitioners in almost every field a coherent way to share findings from original research, big data, learning analytics, and more. In nine appealing chapters, the book: examines the role of data graphics in decision-making, sharing information, sparking discussions, and inspiring future research; scrutinizes data graphics, deliberates on the messages they convey, and looks at options for design visualization; and includes cases and interviews to provide a contemporary view of how data graphics are used by professionals across industries Both novices and seasoned designers in education, business, and other areas can use this book’s effective, linear process to develop data visualization literacy and promote exploratory, inquiry-based approaches to visualization problems.
Functional and Constraint Logic Programming: 26th International Workshop, WFLP 2018, Frankfurt/Main, Germany, September 6, 2018, Revised Selected Papers (Lecture Notes in Computer Science #11285)
by Josep SilvaThis book constitutes the refereed post-conference proceedings of the 26th International Workshop on Functional and Constraint Logic Programming, WFLP 2018, held in Frankfurt/Main, Germany, in September 2018. From the 19 full papers submitted,12 were accepted for presentation at the workshop. During a second review after the workshop, 10 papers were accepted for inclusion in this volume. The papers cover different programming areas of functional and logic programming, including code generation, verification, and debugging. They are organized in the following topical sections: compilers and code generation; debugging and testing; and foundations of functional logic programming.
The Rhetoric of Videogames as Embodied Practice: Procedural Habits (Routledge Studies in Rhetoric and Communication)
by Steve HolmesThe Rhetoric of Videogames as Embodied Practice offers a critical reassessment of embodiment and materiality in rhetorical considerations of videogames. Holmes argues that rhetorical and philosophical conceptions of "habit" offer a critical resource for describing the interplay between thinking (writing and rhetoric) and embodiment. The book demonstrates how Aristotle's understanding of character (ethos), habit (hexis), and nature (phusis) can productively connect rhetoric to what Holmes calls "procedural habits": the ways in which rhetoric emerges from its interactions with the dynamic accumulation of conscious and nonconscious embodied experiences that consequently give rise to meaning, procedural subjectivity, control, and communicative agency both in digital game design discourse and the activity of play.
Transactional Distance and Adaptive Learning: Planning for the Future of Higher Education
by Farhad Saba Rick L. ShearerTransactional Distance and Adaptive Learning takes a fresh look at one of the pioneering educational theories that accommodates the impact of information and communications technologies in learning. The theory of transactional distance (TTD) provides a distinct analytical and planning foundation for educators to conduct an overarching inquiry into transitioning from mass instructional and management systems in higher education to dynamic and transformational futures that focus on each individual learner. Based on the TTD, this pragmatic approach offers instructors, administrators, students, and other stakeholders a comprehensive planning method to assess the current state of their instructional, learning, and management practices and to develop alternative models to prescribe future improvements in their institution. This complex, self-organized, and adaptive method includes current and emergent properties of: hardware, software, and telecommunications systems that allow faculty, students, and administrators to communicate; instructional and curriculum systems that provide teaching and learning environments for faculty and students; and management, societal, and global systems that influence how institutions are supported, funded, and managed.
Modern Digital Radio Communication Signals and Systems
by Sung-Moon Michael YangThis book serves as an easily accessible reference for wireless digital communication systems. Topics are presented with simple but non-trivial examples and then elaborated with their variations and sophistications. It includes numerous examples and exercises to illustrate key points. The book emphasizes both practical problem solving and a thorough understanding of fundamentals, aiming to realize the complementary relationship between practice and theory. Though the author emphasize wireless radio channels, the fundamentals that are covered are useful to different channels - digital subscriber line, coax, power lines, optical fibers, and even Gigabit serial interconnection. This book is the outgrowth of the author’s hands-on experience in the telecommunication systems industry as a research and development engineer. It is written primarily for practitioners of wireless digital communication systems – engineers and technical leaders and managers – and for digital communication systems in general including new comers like graduate students and upper-division undergraduate students. The material in chapters 5(OFDM), 6(Channel coding), 7(Synchronization) and 8(Transceivers) contains something new, not explicitly available in typical textbooks, and useful in practice. For example, in Chapter 5, all known orthogonal frequency division multiplex signals are formulated based on pulse shape and thus flexible, e.g., unlike currently predominant symbol block transmission, it can be serial transmission. In Chapter 6, we emphasize practical applications of powerful error coding such as LDPC to higher order modulations, fading, and non-linearity problem. In Chapter 7, new digital timing detectors are suggested for small access bandwidth shaping pulse, and a digital quadrature imbalance correction is also included along with digital carrier phase recovery. In Chapter 8, low IF digital image cancelling transceiver is treated in detail so that practical implementation can be readily done with advantages.
Deep Comprehension: Multi-Disciplinary Approaches to Understanding, Enhancing, and Measuring Comprehension
by Keith K. Millis Debra Long Joseph Magliano Katja WiemerThis volume provides an overview of research from the learning sciences into understanding, enhancing, and measuring "deep comprehension" from a psychological, educational, and psychometric perspective. It describes the characteristics of deep comprehension, what techniques may be used to improve it, and how deep levels of comprehension may be distinguished from shallow ones. It includes research on personal-level variables; how intelligent tutors promote comprehension; and the latest developments in psychometrics. The volume will be of interest to senior undergraduate and graduate students of cognitive psychology, learning, cognition and instruction, and educational technology.
Deep Learning with R for Beginners: Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
by Mark Hodnett Joshua F. Wiley Yuxi (Hayden) Liu Pablo MaldonadoExplore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep learning finds practical applications in several domains, while R is the preferred language for designing and deploying deep learning models.This Learning Path introduces you to the basics of deep learning and even teaches you to build a neural network model from scratch. As you make your way through the chapters, you’ll explore deep learning libraries and understand how to create deep learning models for a variety of challenges, right from anomaly detection to recommendation systems. The book will then help you cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud, in addition to model optimization, overfitting, and data augmentation. Through real-world projects, you’ll also get up to speed with training convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs) in R.By the end of this Learning Path, you’ll be well versed with deep learning and have the skills you need to implement a number of deep learning concepts in your research work or projects.This Learning Path includes content from the following Packt products:R Deep Learning Essentials - Second Edition by Joshua F. Wiley and Mark HodnettR Deep Learning Projects by Yuxi (Hayden) Liu and Pablo MaldonadoWhat you will learnImplement credit card fraud detection with autoencodersTrain neural networks to perform handwritten digit recognition using MXNetReconstruct images using variational autoencodersExplore the applications of autoencoder neural networks in clustering and dimensionality reductionCreate natural language processing (NLP) models using Keras and TensorFlow in RPrevent models from overfitting the data to improve generalizabilityBuild shallow neural network prediction modelsWho this book is forThis Learning Path is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. A fundamental understanding of R programming and familiarity with the basic concepts of deep learning are necessary to get the most out of this Learning Path.
The Complete Kubernetes Guide: Become an expert in container management with the power of Kubernetes
by Jonathan Baier Gigi Sayfan Jesse WhiteDesign, deploy, and manage large-scale containers using KubernetesKey FeaturesGain insight into the latest features of Kubernetes, including Prometheus and API aggregationDiscover ways to keep your clusters always available, scalable, and up-to-dateMaster the skills of designing and deploying large clusters on various cloud platformsBook DescriptionIf you are running a number of containers and want to be able to automate the way they’re managed, it can be helpful to have Kubernetes at your disposal. This Learning Path guides you through core Kubernetes constructs, such as pods, services, replica sets, replication controllers, and labels. You'll get started by learning how to integrate your build pipeline and deployments in a Kubernetes cluster. As you cover more chapters in the Learning Path, you'll get up to speed with orchestrating updates behind the scenes, avoiding downtime on your cluster, and dealing with underlying cloud provider instability in your cluster. With the help of real-world use cases, you'll also explore options for network configuration, and understand how to set up, operate, and troubleshoot various Kubernetes networking plugins. In addition to this, you'll gain insights into custom resource development and utilization in automation and maintenance workflows.By the end of this Learning Path, you'll have the expertise you need to progress from an intermediate to an advanced level of understanding Kubernetes.This Learning Path includes content from the following Packt products:Getting Started with Kubernetes - Third Edition by Jonathan Baier and Jesse WhiteMastering Kubernetes - Second Edition by Gigi SayfanWhat you will learnDownload, install, and configure the Kubernetes code baseCreate and configure custom Kubernetes resources Use third-party resources in your automation workflowsDeliver applications as standard packagesSet up and access monitoring and logging for Kubernetes clustersSet up external access to applications running in the clusterManage and scale Kubernetes with hosted platforms on Amazon Web Services (AWS), Azure, and Google Cloud Platform (GCP)Run multiple clusters and manage them from a single control planeWho this book is forIf you are a developer or a system administrator with an intermediate understanding of Kubernetes and want to master its advanced features, then this book is for you. Basic knowledge of networking is required to easily understand the concepts explained.
Julia 1.0 Programming Complete Reference Guide: Discover Julia, a high-performance language for technical computing
by Ivo Balbaert Adrian SalceanuLearn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the webKey FeaturesLeverage Julia's high speed and efficiency to build fast, efficient applicationsPerform supervised and unsupervised machine learning and time series analysisTackle problems concurrently and in a distributed environmentBook DescriptionJulia offers the high productivity and ease of use of Python and R with the lightning-fast speed of C++. There’s never been a better time to learn this language, thanks to its large-scale adoption across a wide range of domains, including fintech, biotech and artificial intelligence (AI).You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. This Learning Path walks you through two important collection types: arrays and matrices. You’ll be taken through how type conversions and promotions work, and in further chapters you'll study how Julia interacts with operating systems and other languages. You’ll also learn about the use of macros, what makes Julia suitable for numerical and scientific computing, and how to run external programs.Once you have grasped the basics, this Learning Path goes on to how to analyze the Iris dataset using DataFrames. While building a web scraper and a web app, you’ll explore the use of functions, methods, and multiple dispatches. In the final chapters, you'll delve into machine learning, where you'll build a book recommender system.By the end of this Learning Path, you’ll be well versed with Julia and have the skills you need to leverage its high speed and efficiency for your applications.This Learning Path includes content from the following Packt products:Julia 1.0 Programming - Second Edition by Ivo BalbaertJulia Programming Projects by Adrian SalceanuWhat you will learnCreate your own types to extend the built-in type systemVisualize your data in Julia with plotting packagesExplore the use of built-in macros for testing and debuggingIntegrate Julia with other languages such as C, Python, and MATLABAnalyze and manipulate datasets using Julia and DataFramesDevelop and run a web app using Julia and the HTTP packageBuild a recommendation system using supervised machine learningWho this book is forIf you are a statistician or data scientist who wants a quick course in the Julia programming language while building big data applications, this Learning Path is for you. Basic knowledge of mathematics and programming is a must.
Building Microservices with JavaScript: Learn quick and practical methods for developing microservices
by Diogo Resende Paul OsmanExplore microservices by developing with Express, deploying with Docker, and scaling with Swarm and Kubernetes.Key FeaturesBuild cloud-native microservices using only Node and ExpressWrite clean and maintainable code with JavaScript for improved microservices developmentLearn ways to monitor and manage your services in a production environmentBook DescriptionMicroservices are a popular way to build distributed systems that power modern web and mobile apps. With the help of this Learning Path, you'll learn how to develop your applications as a suite of independently deployable and scalable services.Using an example-driven approach, this Learning Path will uncover how you can dismantle your monolithic application and embrace microservice architecture, right from architecting your services and modeling them to integrating them into your application. You’ll also explore ways to overcome challenges in testing and deploying these services by setting up deployment pipelines that break down the application development process into several stages. You’ll study serverless architecture for microservices and understand its benefits. Furthermore, this Learning Path delves into the patterns used for organizing services, helping you optimize request handling and processing. You'll then move on to learn the fault-tolerance and reliability patterns that help you use microservices to isolate failures in your applications.By the end of this Learning Path, you’ll have the skills necessary to build enterprise-ready applications using microservices.This Learning Path includes content from the following Packt products:Hands-On Microservices with Node.js by Diogo ResendeMicroservices Development Cookbook by Paul OsmanWhat you will learnUse Docker and Swarm for continuous deployment and scalingBuild and deploy cloud-native microservices and avoid vendor lock-inExplore different service architectures such as Hydra and SenecaCreate services that don’t impact users upon failureMonitor your services to perform debugging and create observable systemsDevelop fast and reliable deployment pipelinesManage multiple environments for your servicesSimplify the local development of microservice-based systemsWho this book is forIf you’re a JavaScript developer looking to put your skills to work by building microservices and moving away from the monolithic architecture, this book is for you. To understand the concepts explained in this Learning Path, you must have knowledge of Node.js and be familiar with the microservices architecture.
Data Science from Scratch: First Principles with Python
by Joel GrusData science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch.If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out.
Cybersecurity Awareness Among Students and Faculty
by Abbas MoallemIn modern times, all individuals need to be knowledgeable about cybersecurity. They must have practical skills and abilities to protect themselves in cyberspace. What is the level of awareness among college students and faculty, who represent the most technologically active portion of the population in any society? According to the Federal Trade Commission’s 2016 Consumer Sentinel Network report, 19 percent of identity theft complaints came from people under the age of 29. About 74,400 young adults fell victim to identity theft in 2016. This book reports the results of several studies that investigate student and faculty awareness and attitudes toward cybersecurity and the resulting risks. It proposes a plan of action that can help 26,000 higher education institutions worldwide with over 207 million college students, create security policies and educational programs that improve security awareness and protection. Features Offers an understanding of the state of privacy awareness Includes the state of identity theft awareness Covers mobile phone protection Discusses ransomware protection Discloses a plan of action to improve security awareness
Emerging Security Algorithms and Techniques
by Khaleel Ahmad M. N. Doja Nur Izura Udzir Manu Pratap SinghCyber security is the protection of information systems, hardware, software, and information as well from theft, damages, interruption or misdirection to any of these resources. In other words, cyber security focuses on protecting computers, networks, programs and data (in use, in rest, in motion) from unauthorized or unintended access, change or destruction. Therefore, strengthening the security and resilience of cyberspace has become a vital homeland security mission. Cyber security attacks are growing exponentially. Security specialists must occupy in the lab, concocting new schemes to preserve the resources and to control any new attacks. Therefore, there are various emerging algorithms and techniques viz. DES, AES, IDEA, WAKE, CAST5, Serpent Algorithm, Chaos-Based Cryptography McEliece, Niederreiter, NTRU, Goldreich–Goldwasser–Halevi, Identity Based Encryption, and Attribute Based Encryption. There are numerous applications of security algorithms like cyber security, web security, e-commerce, database security, smart card technology, mobile security, cloud security, digital signature, etc. The book offers comprehensive coverage of the most essential topics, including: Modular Arithmetic, Finite Fields Prime Number, DLP, Integer Factorization Problem Symmetric Cryptography Asymmetric Cryptography Post-Quantum Cryptography Identity Based Encryption Attribute Based Encryption Key Management Entity Authentication, Message Authentication Digital Signatures Hands-On "SageMath" This book serves as a textbook/reference book for UG, PG, PhD students, Teachers, Researchers and Engineers in the disciplines of Information Technology, Computer Science and Engineering, and Electronics and Communication Engineering.
Underlying Standards that Support Population Health Improvement (HIMSS Book Series)
by Laura Bright Johanna GoderreThis book highlights success stories and challenges to implementing health IT standards. The narrative of each chapter demonstrates how standards further interoperable health data exchange, especially in the service of advancing tools to monitor population health. These are critical stories that demonstrate to an international community of health and IT experts how to bring the right stakeholders together and bridge classic divides between software architects and clinical end users, health system decision-makers and standard authors.
Female Offenders and Reentry: Pathways and Barriers to Returning to Society
by Lisa M. Carter Catherine D. MarcumOften, research concerning the female offender is scarce. This book adds to the criminological literature on the topic of reentry for women, focusing on the barriers women face as they return to society and adjust to life after incarceration. Each chapter addresses specific issues, challenges, and obstacles affiliated with the hindrance of successful reentry processes associated with female offenders, as well as data-driven empirical studies. While corrections has often misunderstood or overlooked the needs of returning offenders, the shortcomings of the institutions have a greater impact on women than on their male counterparts, particularly regarding the occurrence of social and medical problems, especially those related to mental health and substance abuse. Female Offenders and Reentry helps criminal justice students and practitioners see the full picture when considering the challenges faced by female offenders reintegrating into society.
Ecologies of Internet Video: Beyond YouTube (Routledge Research in Cultural and Media Studies)
by John HondrosThis book explores the complex, dynamic, and contested webs of relationships in which three different groups of video makers found themselves when distributing their work on the Internet. It draws upon both the Deleuzian notion of "assemblage" and Actor-Network Theory, which together provide a rich conceptual framework for characterizing and analysing these webs. The groups examined are a UK video activist project, a community of film and television fans originating in the US, and an association of US community television producers. Rather than taking YouTube as its point of departure, this book centres on the groups themselves, contextualizing their contemporary distribution practices within their pre-Internet histories. It then follows the groups as they drew upon various Internet technologies beyond YouTube to create their often-complex video distribution assemblages, a process that entangled them in these webs of relationships. Through the analysis of detailed ethnographic fieldwork conducted across a period of several years, this book demonstrates that while the groups found some success in achieving their various goals as video makers, their situations were often problematic and their agency limited, with their practices contested by both human and technological actors within their distribution assemblages.
El futuro es ahora: Un viaje a través de la realidad virtual
by Jaron LanierEl padre de la realidad virtual nos explica sus infinitas posibilidades a través de su experiencia con la tecnología. A través del fascinante recorrido de una vida dedicada a la tecnología, Jaron Lanier expone la capacidad de la realidad virtual para iluminar y amplificar la comprensión que tenemos de nuestra especie y ofrece a los lectores una nueva perspectiva sobre cómo el cerebro y el cuerpo humano se conectan al mundo. Al entender la realidad virtual como una aventura tanto científica como cultural, Lanier demuestra el componente humanístico que esta aporta a la tecnología. Si bien sus libros anteriores ofrecían una visión más crítica de las redes sociales y de otras manifestaciones de la tecnología, en El futuro es ahora el autor argumenta que la realidad virtual puede hacer que nuestra vida sea más rica y más completa. Una obra que no solo nos muestra qué significa ser humano en esta era de posibilidades tecnológicas sin precedentes, sino que también une la dimensión tecnológica con nuestra experiencia corporal. Reseñas:«Una historia maravillosa, profundamente humana y sumamente personal.»Dave Eggers «Es el padre de la realidad virtual y un genio de la tecnología punta.»Sunday Times «Una mente tan ilimitada como internet.»Evening Standard «Íntimo e idiosincrásico [...] peculiar y fascinante [...] La vívida imaginación de Lanier se convierte en un personaje más. Su visión es humanista e insiste en que el objetivo más importante del desarrollo de la realidad virtual debe ser la conexión humana.»The New York Times Book Review «Una lectura esencial, no solo para los conocedores de la realidad virtual, sino para cualquiera interesado en comprender cómo la sociedad ha llegado a convertirse en lo que es hoy en día y en qué podría convertirse en un futuro no tan lejano.»The Economist «Brillante e inspirador.»Publishers Weekly
Collaboration Technologies and Social Computing: 10th International Conference, CollabTech 2018, Costa de Caparica, Portugal, September 5-7, 2018, Proceedings (Lecture Notes in Computer Science #11000)
by Hironori Egi Takaya Yuizono Nelson Baloian Takashi Yoshino Satoshi Ichimura Armanda RodriguesThis book constitutes the refereed proceedings of the 10th International Conference on Collaboration Technologies, CollabTech 2018, held in Costa de Caparica, in September 2018. The 12 full papers presented in this book together with 4 short papers were carefully reviewed and selected from 36 submissions. The papers focus on topics such as: Communication Enhancement, Inter-Cultural Collaboration, Learning Support System, Entertainment System, Social Studies, and UI and UX.
Geo-informatics in Sustainable Ecosystem and Society: 6th International Conference, GSES 2018, Handan, China, September 25–26, 2018, Revised Selected Papers (Communications in Computer and Information Science #980)
by Yichun Xie Anbing Zhang Haixin Liu Lili FengThis book constitutes the refereed proceedings of the 6th International Conference on Geo-informatics in Sustainable Ecosystem and Society, GSES 2018, held in Handan, China, in September 2018. The 46 papers presented in this volume were carefully reviewed and selected from 153 submissions and focus on spatial data acquisition, processing and management, modeling and analysis, and recent applications in the context of building healthier ecology and resource management using advanced remote sensing technology and spatial data modeling and analysis.
Becoming-Social in a Networked Age (Routledge Studies in New Media and Cyberculture)
by Neal ThomasThis book examines the semiotic effects of protocols and algorithms at work in popular social media systems, bridging philosophical conversations in human-computer interaction (HCI) and information systems (IS) design with contemporary work in critical media, technology and software studies. Where most research into social media is sociological in scope, Neal Thomas shows how the underlying material-semiotic operations of social media now crucially define what it means to be social in a networked age. He proposes that we consider social media platforms as computational processes of collective individuation that produce, rather than presume, forms of subjectivity and sociality.
Advanced Machine Learning with R: Tackle data analytics and machine learning challenges and build complex applications with R 3.5
by Cory Lesmeister Dr. Sunil ChinnamgariMaster machine learning techniques with real-world projects that interface TensorFlow with R, H2O, MXNet, and other languagesKey FeaturesGain expertise in machine learning, deep learning and other techniquesBuild intelligent end-to-end projects for finance, social media, and a variety of domainsImplement multi-class classification, regression, and clusteringBook DescriptionR is one of the most popular languages when it comes to exploring the mathematical side of machine learning and easily performing computational statistics.This Learning Path shows you how to leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. You'll tackle realistic projects such as building powerful machine learning models with ensembles to predict employee attrition. You'll explore different clustering techniques to segment customers using wholesale data and use TensorFlow and Keras-R for performing advanced computations. You’ll also be introduced to reinforcement learning along with its various use cases and models. Additionally, it shows you how some of these black-box models can be diagnosed and understood.By the end of this Learning Path, you’ll be equipped with the skills you need to deploy machine learning techniques in your own projects.This Learning Path includes content from the following Packt products:R Machine Learning Projects by Dr. Sunil Kumar ChinnamgariMastering Machine Learning with R - Third Edition by Cory LesmeisterWhat you will learnDevelop a joke recommendation engine to recommend jokes that match users’ tastesBuild autoencoders for credit card fraud detectionWork with image recognition and convolutional neural networksMake predictions for casino slot machine using reinforcement learningImplement NLP techniques for sentiment analysis and customer segmentationProduce simple and effective data visualizations for improved insightsUse NLP to extract insights for textImplement tree-based classifiers including random forest and boosted treeWho this book is forIf you are a data analyst, data scientist, or machine learning developer this is an ideal Learning Path for you. Each project will help you test your skills in implementing machine learning algorithms and techniques. A basic understanding of machine learning and working knowledge of R programming is necessary to get the most out of this Learning Path.
From Big Data to Smart Data
by Fernando IafrateA pragmatic approach to Big Data by taking the reader on a journey between Big Data (what it is) and the Smart Data (what it is for). Today’s decision making can be reached via information (related to the data), knowledge (related to people and processes), and timing (the capacity to decide, act and react at the right time). The huge increase in volume of data traffic, and its format (unstructured data such as blogs, logs, and video) generated by the “digitalization” of our world modifies radically our relationship to the space (in motion) and time, dimension and by capillarity, the enterprise vision of performance monitoring and optimization.
Augmented Reality Games II: The Gamification of Education, Medicine and Art
by Vladimir GeroimenkoThis is the second of two comprehensive volumes that provide a thorough and multi-faceted research into the emerging field of augmented reality games and consider a wide range of its major issues. These first ever research monographs on augmented reality games have been written by a team of 70 leading researchers, practitioners and artists from 20 countries. Volume II explores the most important and challenging issues that have been raised by the use of the Augmented Reality approach and technology in the gamification of education, healthcare, medicine and art. The volume deals with a systematic analysis of educational augmented reality games, their use for health promotion in old age and for improving people’s well-being, the gamification of augmented reality art and immersive reading experiences, among other topics. Augmented Reality Games II is essential reading not only for researchers, practitioners, game developers and artists, but also for students (graduates and undergraduates) and all those interested in the rapidly developing area of augmented reality games.