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ML for the Working Programmer
by Lawrence C. PaulsonThe new edition of this successful and established textbook retains its two original intentions of explaining how to program in the ML language, and teaching the fundamentals of functional programming. The major change is the early and prominent coverage of modules, which the author extensively uses throughout. In addition, Paulson has totally rewritten the first chapter to make the book more accessible to students who have no experience of programming languages. The author describes the main features of new Standard Library for the revised version of ML, and gives many new examples, e.g. polynomial arithmetic and new ways of treating priority queues. Finally he has completely updated the references. Dr. Paulson has extensive practical experience of ML, and has stressed its use as a tool for software engineering; the book contains many useful pieces of code, which are freely available (via Internet) from the author. He shows how to use lists, trees, higher-order functions and infinite data structures. He includes many illustrative and practical examples, covering sorting, matrix operations, and polynomial arithmetic. He describes efficient functional implementations of arrays, queues, and priority queues. Larger examples include a general top-down parser, a lambda-calculus reducer and a theorem prover. A chapter is devoted to formal reasoning about functional programs. The combination of careful explanation and practical advice will ensure that this textbook continues to be the preferred text for many courses on ML for students at all levels.
ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications
by Sudipta MukherjeeGet introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible.Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to consume them in many application settings without having to think about the internal details. You will learn about the features that do the necessary “plumbing” that is required in a variety of machine learning problems, freeing up your time to focus on your applications. You will understand that while the infrastructure pieces may at first appear to be disconnected and haphazard, they are not. Developers who are curious about trying machine learning, yet are shying away from it due to its perceived complexity, will benefit from this book. This introductory guide will help you make sense of it all and inspire you to try out scenarios and code samples that can be used in many real-world situations.What You Will LearnCreate a machine learning model using only the C# languageBuild confidence in your understanding of machine learning algorithms Painlessly implement algorithms Begin using the ML.NET library softwareRecognize the many opportunities to utilize ML.NET to your advantageApply and reuse code samples from the bookUtilize the bonus algorithm selection quick references available onlineWho This Book Is ForDevelopers who want to learn how to use and apply machine learning to enrich their applications
MLA Guide to Digital Literacy
by Ellen C. CarilloStudents face challenges assessing, responding to, and producing information in today's fast-paced, complex digital landscape. This guide helps students understand why digital literacy is a critically important skill: their education, future careers, and participation in democratic processes rely on it. Hands-on, structured activities give students strategies for evaluating the credibility of sources, detecting fake news, understanding bias, and more. Readings and writing prompts support specific concepts, including how to craft a research question and effectively conduct searches. An appendix contains three sample lesson plans.
MLOps Engineering at Scale
by Carl OsipovDodge costly and time-consuming infrastructure tasks, and rapidly bring your machine learning models to production with MLOps and pre-built serverless tools!In MLOps Engineering at Scale you will learn: Extracting, transforming, and loading datasets Querying datasets with SQL Understanding automatic differentiation in PyTorch Deploying model training pipelines as a service endpoint Monitoring and managing your pipeline&’s life cycle Measuring performance improvements MLOps Engineering at Scale shows you how to put machine learning into production efficiently by using pre-built services from AWS and other cloud vendors. You&’ll learn how to rapidly create flexible and scalable machine learning systems without laboring over time-consuming operational tasks or taking on the costly overhead of physical hardware. Following a real-world use case for calculating taxi fares, you will engineer an MLOps pipeline for a PyTorch model using AWS server-less capabilities. About the technology A production-ready machine learning system includes efficient data pipelines, integrated monitoring, and means to scale up and down based on demand. Using cloud-based services to implement ML infrastructure reduces development time and lowers hosting costs. Serverless MLOps eliminates the need to build and maintain custom infrastructure, so you can concentrate on your data, models, and algorithms. About the book MLOps Engineering at Scale teaches you how to implement efficient machine learning systems using pre-built services from AWS and other cloud vendors. This easy-to-follow book guides you step-by-step as you set up your serverless ML infrastructure, even if you&’ve never used a cloud platform before. You&’ll also explore tools like PyTorch Lightning, Optuna, and MLFlow that make it easy to build pipelines and scale your deep learning models in production. What's inside Reduce or eliminate ML infrastructure management Learn state-of-the-art MLOps tools like PyTorch Lightning and MLFlow Deploy training pipelines as a service endpoint Monitor and manage your pipeline&’s life cycle Measure performance improvements About the reader Readers need to know Python, SQL, and the basics of machine learning. No cloud experience required. About the author Carl Osipov implemented his first neural net in 2000 and has worked on deep learning and machine learning at Google and IBM. Table of Contents PART 1 - MASTERING THE DATA SET 1 Introduction to serverless machine learning 2 Getting started with the data set 3 Exploring and preparing the data set 4 More exploratory data analysis and data preparation PART 2 - PYTORCH FOR SERVERLESS MACHINE LEARNING 5 Introducing PyTorch: Tensor basics 6 Core PyTorch: Autograd, optimizers, and utilities 7 Serverless machine learning at scale 8 Scaling out with distributed training PART 3 - SERVERLESS MACHINE LEARNING PIPELINE 9 Feature selection 10 Adopting PyTorch Lightning 11 Hyperparameter optimization 12 Machine learning pipeline
MLOps Lifecycle Toolkit: A Software Engineering Roadmap for Designing, Deploying, and Scaling Stochastic Systems
by Dayne SorvistoThis book is aimed at practitioners of data science, with consideration for bespoke problems, standards, and tech stacks between industries. It will guide you through the fundamentals of technical decision making, including planning, building, optimizing, packaging, and deploying end-to-end, reliable, and robust stochastic workflows using the language of data science. MLOps Lifecycle Toolkit walks you through the principles of software engineering, assuming no prior experience. It addresses the perennial “why” of MLOps early, along with insight into the unique challenges of engineering stochastic systems. Next, you’ll discover resources to learn software craftsmanship, data-driven testing frameworks, and computer science. Additionally, you will see how to transition from Jupyter notebooks to code editors, and leverage infrastructure and cloud services to take control of the entire machine learning lifecycle. You’ll gain insight into the technical and architectural decisions you’re likely to encounter, as well as best practices for deploying accurate, extensible, scalable, and reliable models. Through hands-on labs, you will build your own MLOps “toolkit” that you can use to accelerate your own projects. In later chapters, author Dayne Sorvisto takes a thoughtful, bottom-up approach to machine learning engineering by considering the hard problems unique to industries such as high finance, energy, healthcare, and tech as case studies, along with the ethical and technical constraints that shape decision making. After reading this book, whether you are a data scientist, product manager, or industry decision maker, you will be equipped to deploy models to production, understand the nuances of MLOps in the domain language of your industry, and have the resources for continuous delivery and learning. What You Will Learn Understand the principles of software engineering and MLOpsDesign an end-to-end machine learning systemBalance technical decisions and architectural trade-offsGain insight into the fundamental problems unique to each industry and how to solve them Who This Book Is For Data scientists, machine learning engineers, and software professionals.
MLOps using Azure Machine Learning: Rapidly build, test, and manage production-ready machine learning life cycles at scale
by Emmanuel RajThis book is for data scientists, software engineers, DevOps engineers, and machine learning developers who want to build, deploy, and maintain ML systems in production efficiently using MLOps principles and techniques. Basic knowledge of machine learning is required.
MLOps with Ray: Best Practices and Strategies for Adopting Machine Learning Operations
by Max Pumperla Zhe Zhang Hien LuuUnderstand how to use MLOps as an engineering discipline to help with the challenges of bringing machine learning models to production quickly and consistently. This book will help companies worldwide to adopt and incorporate machine learning into their processes and products to improve their competitiveness. The book delves into this engineering discipline's aspects and components and explores best practices and case studies. Adopting MLOps requires a sound strategy, which the book's early chapters cover in detail. The book also discusses the infrastructure and best practices of Feature Engineering, Model Training, Model Serving, and Machine Learning Observability. Ray, the open source project that provides a unified framework and libraries to scale machine learning workload and the Python application, is introduced, and you will see how it fits into the MLOps technical stack. This book is intended for machine learning practitioners, such as machine learning engineers, and data scientists, who wish to help their company by adopting, building maps, and practicing MLOps. What You'll Learn Gain an understanding of the MLOps discipline Know the MLOps technical stack and its components Get familiar with the MLOps adoption strategy Understand feature engineering Who This Book Is For Machine learning practitioners, data scientists, and software engineers who are focusing on building machine learning systems and infrastructure to bring ML models to production
MMOs from the Inside Out
by Richard A. BartleThis is an astonishing collection of ideas, information, and instruction from one of the true pioneers of Massively-Multiplayer Online Role-Playing Games. MMOs from the Inside Out: The History, Design, Fun, and Art of Massively-Multiplayer Role-playing Games speaks to the designers and players of MMOs, taking it as axiomatic that such games are inspirational and boundless forces for good. The aim of this book is to enthuse an up-coming generation of designers, to inspire and educate players and designers-to-be, and to reinvigorate those already working in the field who might be wondering if it's still all worthwhile. Playing MMOs is about fun, immersion, and identity. Creating MMOs is about imagination, expression, and art. MMOs are so packed with potential that today's examples are little more than small, pioneering colonies on the shore of a vast, uncharted continent. What wonders wait beyond the horizon? What treasures will explorers bring back to amaze us? MMOs from the Inside Out is for people with a spark of creativity: it pours gasoline on that spark. It: Explains what MMOs are, what they once were, and what they could - and should - become. Delves into why players play, and why designers design. Encourages, enthuses, enrages, engages, enlightens, envisions, and enchants. Doesn't tell you what to think, it tells you to think. What you'll learn You'll learn: Myriad ways to improve MMOs - and to decide for yourself whether these are improvements. What MMOs are; who plays them, and why. How MMOs became what they are, and what this means for what they will become. That you have it in you to make MMOs yourself. Who this book is for MMOs from the Inside Out is a book for those who wish to know more about game design in general and MMO design in particular. It's for people who play MMOs, for people who design MMOs, and for people who study MMOs. It's for people with a yearning to see beyond the world around them and to make manifest the worlds of their imagination. Table of Contents Part 1: How Game Developers See MMOs 1. MMO Design Insights 2. MMO Development: Systems and Security 3. MMO Operation: Community and Customer Service 4. Fun, Flow, Immersion, and Presence 5. The Past, Present, and Future of MMOs 6. Understanding MMOs Through Game Studies 7. Player Identity: Who Plays MMOs, Why they Play Them, and How They Play Them 8. The Constraints of Current MMO Production 9. Making a Difference by Reading This Book Part 2: How the World Sees MMOs 10. Understanding the Language of MMOs 11. Society's Demands: A Virtual World's Place in the Real World 12. Society's Concerns: How Non-Gamers See MMO Players 13. The Business of MMOs: How Developers and Players Make Money 14. Government and Law: The Real Legal Issues Around MMOs 15. Morality: Religion and Ethics in MMOs
MMOs from the Outside In
by Richard A. BartleThis follow-up volume to MMOs from the Inside Out is a further collection of bold ideas, information, and instruction from one of the true pioneers of Massively-Multiplayer Online Role-Playing Games. Whereas its predecessor looked at how MMOs can change the world, MMOs from the Outside In: How Psychology, Law, Culture and Real Life see Massively-Multiplayer Role-playing Games looks at how the world can change MMOs - and not always for the better. The aim of this book is to inform an up-coming generation of designers, to alert and educate players and designers-to-be, and to caution those already working in the field who might be growing complacent about society's acceptance of their chosen career. Playing and creating MMOs does not happen in a bubble. MMOs are so packed with potential that those who don't understand them can be afraid, and those who do understand them can neglect their wider impact. Today's examples are little more than small, pioneering colonies on the shore of a vast, uncharted continent. What monsters lurk beyond the horizon? What horrors will explorers bring back to torment us? MMOs from the Outside In is for people with a spark of curiosity: it pours gasoline on that spark. It: * Explains how MMOs are perceived, how they could - and perhaps should - be perceived, and how the can contribute to wider society. * Delves into what researchers think about why players play. * Encourages, enthuses, enrages, engages, enlightens, envisions, and enchants. * Doesn't tell you what to think, it tells you to think. What You Will Learn: * The myriad challenges facing MMOs - and to decide for yourself how to address these challenges. * What MMOs bring to the world that it didn't have before. * How MMOs are regarded, and what this means for how they will be regarded in future. * That playing and designing MMOs has implications for those who don't play or design them. Whom This Book is For: MMOs from the Outside In is a book for those who wish to know more about the wider influence of game design in general and MMO design in particular. It's for people who play MMOs, for people who design MMOs, and for people who study MMOs. It's for people with a yearning to see beyond the worlds of their imagination and to change the world around them.
MMSE-Based Algorithm for Joint Signal Detection, Channel and Noise Variance Estimation for OFDM Systems
by Vincent Savaux Yves LouëtThis book presents an algorithm for the detection of an orthogonal frequency division multiplexing (OFDM) signal in a cognitive radio context by means of a joint and iterative channel and noise estimation technique. Based on the minimum mean square criterion, it performs an accurate detection of a user in a frequency band, by achieving a quasi-optimal channel and noise variance estimation if the signal is present, and by estimating the noise level in the band if the signal is absent. Organized into three chapters, the first chapter provides the background against which the system model is presented, as well as some basics concerning the channel statistics and the transmission of an OFDM signal over a multipath channel. In Chapter 2, the proposed iterative algorithm for the noise variance and the channel estimation is detailed, and in Chapter 3, an application of the algorithm for the free-band detection is proposed. In both Chapters 2 and 3, the principle of the algorithm is presented in a simple way, and more elaborate developments are also provided. The different assumptions and assertions in the developments and the performance of the proposed method are validated through simulations, and compared to methods of the scientific literature
mmWave Massive MIMO Vehicular Communications (Wireless Networks)
by Xiang Cheng Shijian Gao Liuqing YangThis book proposes promising mmWave solutions to promoting safe and reliable vehicular communications. The authors include topics such as channel estimation, multi-user transceiver design, and advanced index modulation. For channel estimation, unique channel properties and hybrid structures are first introduced, followed by the development of a doubly-sparse doubly-selective channel estimator. For multi-user transceiver design, the concept of hybrid block diagonalization (HBD) is first introduced, followed by a generic HBD-based transceiver design to maximize the system capacity. For advanced index modulation, the generalized beamspace modulation for uplink multi-user scenarios are first introduced, followed by the precoded beamspace modulation for the downlink. Finally, this book discusses open problems and future research directions to inspire further studies in the field of mmWave vehicular communications.
Mob School Survivor: The Creeper Diaries, An Unofficial Minecrafter's Novel (Creeper Diaries #1)
by Greyson Mann Amanda BrackThe launch of an exciting, hilarious new series narrated by an underdog every Minecrafter can relate to. Gerald Creeper Jr. is a self-proclaimed pacifist (which, by the way, has nothing to do with a pacifier), but he finds himself in the war zone when he starts his first year at Mob Middle School. At his new school, every monster in the Overworld is jockeying for power, and the skeletons seem to have it out for him. Armed with a 30-day plan (he can thank his mom’s self-help obsession for that), Gerald makes it his mission to use his brains-instead of his blasts-to survive the school year. It all starts with: Day 1: Come up with a nickname. (Gerald is not gonna cut it.) Day 2: Keep a low profile. (Not easy when your new best friend is a super bouncy slime!) Day 3: Avoid being target practice for skeletons, and somehow get in with super-popular Eddy Enderman. (Easier said than done.) The first book in this laugh-out-loud funny, heavily illustrated, diary format series for Minecrafters follows the most misunderstood hostile mob in the Overworld. It’s not easy being green . . . or explosive!
Mob School Swap: The Creeper Diaries, An Unofficial Minecrafters Novel, Book Eight (The Creeper Diaries #8)
by Greyson MannWhen Mom decides the Creeper family should take part in a student-exchange program, Gerald knows his house is going to get a lot more crowded. But he's horrified when the mob they're hosting turns out to be human. Now Gerald has to bring his new "brother" to school with him. But how can a creeper be cool showing up at Mob Middle School with a human at his side? Gerald is sure this is going to be his longest semester ever. Can he make the best of it, or will it all end in a blast of embarrassment?
Mobile Ad-hoc and Sensor Networks: 13th International Conference, Msn 2017, Beijing, China, December 17-20, 2017, Revised Selected Papers (Communications In Computer And Information Science #747)
by Liehuang Zhu Sheng ZhongThis book constitutes the refereed proceedings of the 13th International Conference on Mobile Ad-hoc and Sensor Networks, MSN 2017, held in Beijing, China, in December 2017. The 39 revised full papers presented were carefully reviewed and selected from 145 submissions. The papers address issues such as multi-hop wireless networks and wireless mesh networks; sensor and actuator networks; vehicle ad hoc networks; mobile social network; delay tolerant networks and opportunistic networking; cyber-physical systems; internet of things; system modeling and performance analysis; routing and network protocols; data transport and management in mobile networks; resource management and wireless QoS provisioning; security and privacy; cross layer design and optimization; novel applications and architectures.
Mobile Ad Hoc Networks: Current Status and Future Trends
by Jonathan LooGuiding readers through the basics of these rapidly emerging networks to more advanced concepts and future expectations, this book examines the most pressing research issues in Mobile Ad hoc Networks (MANETs). Leading researchers, industry professionals, and academics provide an authoritative perspective of the state of the art in MANETs. The book includes surveys of recent publications that investigate key areas of interest such as limited resources and the mobility of mobile nodes. It considers routing, multicast, energy, security, channel assignment, and ensuring quality of service.
Mobile Ad Hoc Networks: Bio-Inspired Quality of Service Aware Routing Protocols
by G Ram Reddy Kiran MIn recent years, a lot of work has been done in an effort to incorporate Swarm Intelligence (SI) techniques in building an adaptive routing protocol for Mobile Ad Hoc Networks (MANETs). Since centralized approach for routing in MANETs generally lacks in scalability and fault-tolerance, SI techniques provide a natural solution through a distributed approach for the adaptive routing for MANETs. In SI techniques, the captivating features of insects or mammals are correlated with the real world problems to find solutions. Recently, several applications of bio-inspired and nature-inspired algorithms in telecommunications and computer networks have achieved remarkable success. The main aims/objectives of this book, "Mobile Ad Hoc Networks: Bio-Inspired Quality of Service Aware Routing Protocols", are twofold; firstly it clearly distinguishes between principles of traditional routing protocols and SI based routing protocols, while explaining in detail the analogy between MANETs and SI principles. Secondly, it presents the readers with important Quality of Service (QoS) parameters and explains how SI based routing protocols achieves QoS demands of the applications. This book also gives quantitative and qualitative analysis of some of the SI based routing protocols for MANETs.
Mobile and Ubiquitous Learning
by Shengquan Yu Mohamed Ally Avgoustos TsinakosThis book explores the latest trends and technologies in the field of mobile and ubiquitous learning. It highlights best practices in technology-enhanced learning, and explores how new technologies such as mobile, augmented and wearable technologies are shaping instructional design strategies and the content curriculum development process. The book consists of approximately 20 chapters, written by international experts in the field of mobile and ubiquitous learning. The authors hail from Austria, Brazil, Canada, China, Greece, India, Malaysia, Mauritius, Saudi Arabia, Spain, Sweden, and the United Kingdom. Topics covered include but are not limited to: Use of social media in mobile learning, Contexts of learning and challenges of mobility: Designing for formal, informal, and non-formal learning, Mobile virtual reality: a promising technology to change the way we learn and teach, Mobile applications for encyclopedias, Ethical considerations in the incorporation of mobile and ubiquitous technologies into teaching and learning, Use of augmented reality in mobile learning for students with disabilities, Using wearable technology to support transfer of expertise, and Core technologies in mobile learning. Providing valuable insights on the future of education and the upcoming pedagogies that will be applied in traditional, distance and blended learning, the book offers educators and stakeholders essential guidance in making innovations for the new generations of learners in the 21st century.
Mobile and Ubiquitous Systems: 18th EAI International Conference, MobiQuitous 2021, Virtual Event, November 8-11, 2021, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #419)
by Takahiro Hara Hirozumi YamaguchiThis book constitutes the refereed post-conference proceedings of the 18th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2021, which was held in November 2021. The conference was held virtually due to the COVID-19 pandemic.The 37 full papers were carefully reviewed and selected from 79 submissions and present discussions, interaction and exchange of experiences that will designate future research efforts and directions. Topics addressed by the conference include systems, applications, social networks, middleware, networking, sensing, data management, data processing and services, all with special focus on mobile and ubiquitous computing.
Mobile and Ubiquitous Systems: 19th EAI International Conference, MobiQuitous 2022, Pittsburgh, PA, USA, November 14-17, 2022, Proceedings (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #492)
by Shangguan Longfei Priyantha BodhiThis book constitutes the refereed post-conference proceedings of the 19th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2022, which was held in Pittsburgh, November 14-17, 2022. The conference was held virtually due to the COVID-19 pandemic.The 26 full and 2 short papers were carefully reviewed and selected from 95 submissions and present discussions, They were organized in topical sections as follows: Internet of Things (IoT), Security and Privacy, Human-centric sensing, Drone applications and edge computing, Wireless networks, Mobile and human computer interactions, Poster and demo sessions, Technology for health
Mobile and Ubiquitous Systems: Computing, Networking, and Services
by Ivan Stojmenovic Zixue Cheng Song GuoThis book constitutes the thoroughly refereed post-conference proceedings of the 10th International ICST Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services, MobiQuitous 2013, held in Tokyo, Japan, in December 2013. The 67 revised full papers presented were carefully reviewed and selected from 141 submissions. The papers and 2 invited talks cover a wide range of topics such as mobile applications, social networks, networking, data management and services.
Mobile and Ubiquitous Systems: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part I (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #593)
by Arkady Zaslavsky Dimitrios Georgakopoulos Panos K. Chrysanthis Vana Kalogeraki Zhaolong NingThese two-volume proceedings constitute the refereed post-conference proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023, held in Melbourne, Australia, during November 14-17, 2023. The 65 papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The conference papers are organized in topical sections on: Part I - Tracking and Detection; IoT; Federated learning; Networks; Activity recognition; Security Management; Urban/Mobile Crowdsensing. Part II - Urban/Mobile Crowdsensing; Edge computing; Crowdsourcing, Platforms and localization; Activity recognition and prediction; AI and machine learning; Mobile edge and fog computing; Mobile augmented reality and applications for mobile computing; interaction technologies; AutoQuitous workshop.
Mobile and Ubiquitous Systems: 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part II (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering #594)
by Arkady Zaslavsky Dimitrios Georgakopoulos Panos K. Chrysanthis Vana Kalogeraki Zhaolong NingThese two-volume proceedings constitute the refereed post-conference proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2023, held in Melbourne, Australia, during November 14-17, 2023. The 65 papers presented in these proceedings were carefully reviewed and selected from 161 submissions. The conference papers are organized in topical sections on: Part I - Tracking and Detection; IoT; Federated learning; Networks; Activity recognition; Security Management; Urban/Mobile Crowdsensing. Part II - Urban/Mobile Crowdsensing; Edge computing; Crowdsourcing, Platforms and localization; Activity recognition and prediction; AI and machine learning; Mobile edge and fog computing; Mobile augmented reality and applications for mobile computing; interaction technologies; AutoQuitous workshop.
Mobile and Web Messaging
by Jeff MesnilLearn how to use messaging technologies to build responsive and resilient applications for mobile devices and web browsers. With this hands-on guide, you'll use the STOMP and MQTT messaging protocols to write iOS and web applications capable of sending and receiving GPS and device sensor data, text messages, and alerts.Messaging protocols are not only simple to use, but also conserve network bandwidth, device memory, and batteries. Using this book's step-by-step format, author Jeff Mesnil helps you work with Objective-C and JavaScript libraries, as well as the protocols. All you need to get started are basic programming skills.Understand basic messaging concepts and compositionLearn two common messaging models: point-to-point and publish/subscribeUse STOMP to write an iOS application that sends GPS data, and a web app that consumes the dataBuild an iOS app with MQTT that tracks and broadcasts device motion data, and a web app that displays the data and sends alertsExtend STOMP to filter, prioritize, persist, and expire messagesTake a complete tour of STOMP and MQTT, including features not used in the book's sample apps
Mobile and Web Messaging: Messaging Protocols for Web and Mobile Devices
by Jeff MesnilLearn how to use messaging technologies to build responsive and resilient applications for mobile devices and web browsers. With this hands-on guide, you’ll use the STOMP and MQTT messaging protocols to write iOS and web applications capable of sending and receiving GPS and device sensor data, text messages, and alerts.Messaging protocols are not only simple to use, but also conserve network bandwidth, device memory, and batteries. Using this book’s step-by-step format, author Jeff Mesnil helps you work with Objective-C and JavaScript libraries, as well as the protocols. All you need to get started are basic programming skills.Understand basic messaging concepts and compositionLearn two common messaging models: point-to-point and publish/subscribeUse STOMP to write an iOS application that sends GPS data, and a web app that consumes the dataBuild an iOS app with MQTT that tracks and broadcasts device motion data, and a web app that displays the data and sends alertsExtend STOMP to filter, prioritize, persist, and expire messagesTake a complete tour of STOMP and MQTT, including features not used in the book’s sample apps
Mobile and Wireless Communications with Practical Use-Case Scenarios
by Ramona TrestianThe growing popularity of advanced multimedia-rich applications along with the increasing affordability of high-end smart mobile devices has led to a massive growth in mobile data traffic that puts significant pressure on the underlying network technology. However, no single network technology will be equipped to deal with this explosion of mobile data traffic. While wireless technologies had a spectacular evolution over the past years, the present trend is to adopt a global heterogeneous network of shared standards that enables the provisioning of quality of service and quality of experience to the end-user. To this end, enabling technologies like machine learning, Internet of Things and digital twins are seen as promising solutions for next generation networks that will enable an intelligent adaptive interconnected environment with support for prediction and decision making so that the heterogeneous applications and users' requirements can be highly satisfied. The aim of this textbook is to provide the readers with a comprehensive technical foundation of the mobile communication systems and wireless network design, and operations and applications of various radio access technologies. Additionally, it also introduces the reader to the latest advancements in technologies in terms of Internet of Things ecosystems, machine learning and digital twins for IoT-enabled intelligent environments. Furthermore, this textbook also includes practical use-case scenarios using Altair WinProp Software as well as Python, TensorFlow and Jupyter as support for practice-based laboratory sessions.