What is IPSec? What's a VPN? Why do the need each other? Virtual Private Network (VPN) has become one of the most recognized terms in our industry, yet there continuously seems to be different impressions of what VPNs really are and can become.
Design a virtualized data center with VMware vSphere 6.7
About This Book Handle your data with precision and care for optimal business intelligence Restructure and transform your data to inform decision-making Packed with practical advice and tips to help you get to grips with data mining Who This Book Is For If you are a data scientist or R developer who wants to explore and optimize your use of R's advanced features and tools, this is the book for you. A basic knowledge of R is required, along with an understanding of database logic. What You Will Learn Connect to and load data from R's range of powerful databases Successfully fetch and parse structured and unstructured data Transform and restructure your data with efficient R packages Define and build complex statistical models with glm Develop and train machine learning algorithms Visualize social networks and graph data Deploy supervised and unsupervised classification algorithms Discover how to visualize spatial data with R In Detail R is an essential language for sharp and successful data analysis. Its numerous features and ease of use make it a powerful way of mining, managing, and interpreting large sets of data. In a world where understanding big data has become key, by mastering R you will be able to deal with your data effectively and efficiently. This book will give you the guidance you need to build and develop your knowledge and expertise. Bridging the gap between theory and practice, this book will help you to understand and use data for a competitive advantage. Beginning with taking you through essential data mining and management tasks such as munging, fetching, cleaning, and restructuring, the book then explores different model designs and the core components of effective analysis. You will then discover how to optimize your use of machine learning algorithms for classification and recommendation systems beside the traditional and more recent statistical methods. Style and approach Covering the essential tasks and skills within data science, Mastering Data Analysis provides you with solutions to the challenges of data science. Each section gives you a theoretical overview before demonstrating how to put the theory to work with real-world use cases and hands-on examples.
In a world of self-driving cars and big data, smart algorithms and Siri, we know that artificial intelligence is getting smarter every day. Though all these nifty devices and programs might make our lives easier, they're also well on their way to making "good" jobs obsolete. A computer winning Jeopardy might seem like a trivial, if impressive, feat, but the same technology is making paralegals redundant as it undertakes electronic discovery, and is soon to do the same for radiologists. And that, no doubt, will only be the beginning. In Silicon Valley the phrase "disruptive technology" is tossed around on a casual basis. No one doubts that technology has the power to devastate entire industries and upend various sectors of the job market. But Rise of the Robots asks a bigger question: can accelerating technology disrupt our entire economic system to the point where a fundamental restructuring is required? Companies like Facebook and YouTube may only need a handful of employees to achieve enormous valuations, but what will be the fate of those of us not lucky or smart enough to have gotten into the great shift from human labor to computation? The more Pollyannaish, or just simply uninformed, might imagine that this industrial revolution will unfold like the last: even as some jobs are eliminated, more will be created to deal with the new devices of a new era. In Rise of the Robots, Martin Ford argues that is absolutely not the case. Increasingly, machines will be able to take care of themselves, and fewer jobs will be necessary. The effects of this transition could be shattering. Unless we begin to radically reassess the fundamentals of how our economy works, we could have both an enormous population of the unemployed-the truck drivers, warehouse workers, cooks, lawyers, doctors, teachers, programmers, and many, many more, whose labors have been rendered superfluous by automated and intelligent machines.
Visible light communication (VLC) is an evolving communication technology for short-range applications. Exploiting recent advances in the development of high-power visible-light emitting LEDs, VLC offers an energy-efficient, clean alternative to RF technology, enabling the development of optical wireless communication systems that make use of existing lighting infrastructure. Drawing on the expertise of leading researchers from across the world, this concise book sets out the theoretical principles of VLC, and outlines key applications of this cutting-edge technology. Providing insight into modulation techniques, positioning and communication, synchronisation, and industry standards, as well as techniques for improving network performance, this is an invaluable resource for graduate students and researchers in the fields of visible light communication, optical wireless communication, and industrial practitioners in the field of telecommunications.
Driven by a combination of technological improvements and commercial pressure, interest in IPTV services has increasingly grown. IPTV refers to the use of the Internet protocol required for delivery of television content. IPTV represents an emerging technology that could change the manner in which homes receive entertainment, personal computers operate, and people use cell phones. Beginning with a comprehensive introduction, Understanding IPTV examines concepts, applications, and possible impacts of IPTV. The book covers market drivers and developing IPTV infrastructure. It explains television concepts, including several popular compression standards, and considers the TCP/IP protocol suite. It also identifies so-called "last mile" solutions and details the operation and utilization of hardware and software components required to view television content delivered over different types of IP networks. The author addresses the industry players and alliances, providing an understanding of companies that are working with the technology. Concluding with examples of the use of IPTV, he illustrates the potential of this evolving technology. Exploring the current state of the IPTV market, business opportunities, and trial services worldwide, Understanding IPTV discusses the advantages that IPTV offers network operators and the new revenue streams that may emerge. It presents different IPTV technologies and the products that manufacturers are bringing to the market.
Are you involved in implementing wireless mesh networks? As mesh networks move towards large-scale deployment, this highly practical book provides the information and insights you need. The technology is described, potential pitfalls in implementation are identified, clear hints and tips for success are provided, and real-world implementation examples are evaluated. Moreover, an introduction to wireless sensor networks (WSN) is included. This is an invaluable resource for electrical and communications engineers, software engineers, technology and information strategists in equipment, content and service providers, and spectrum regulators. It is also a useful guide for graduate students in wireless communications, and telecommunications.
This extensively revised second edition of the Artech House classic, Microwaves and Wireless Simplified, is essential reading for sales, marketing, or management professionals whose work involves microwave or wireless communications technology. It offers non-technical professionals an edge in their career by providing them with a thorough understanding of key concepts, components, devices, materials, and applications. Helping managers foresee emerging market trends, the second edition has been updated and expanded to include coverage of the latest technologies, including WLANs, RFIDs, RFICs, MEMS, and bipolar heterojunction devices. The new edition also includes more definitions of basic technological terms that are important for today's professionals to understand.
Wireless technology, like many other technical fields, has its own set of jargon and acronyms. Many times, these acronyms are used simply to reduce the effort required to describe concepts. The goal of this book is to provide meaning for the acronyms and jargon used in the wireless industry with a particular emphasis on commercial systems. Although not exhaustive, an additional goal was to include the most commonly used terms. Individuals who are experts in one particular field, e.g., 3G cellular or WLANs, will find terms from other fields with which they are unfamiliar. Individuals who need to have broad view of the wireless landscape will find that this book covers most of the topics and terms that are important in today's market. This book is a dictionary that reads more like an encyclopedia. Rather than just giving a terse definition for various wireless terms, many of the definitions contain additional information to provide context for understanding the term. A little history is added where appropriate as well as some opinion regarding the technical and marketing issues that make the design of wireless systems so interesting. The book is organized into two sections. The first contains an overview of the book and addresses a couple of topics that are common to many of the definitions, frequency bands and the OSI networking model. The second part of the book contains the definitions in alphabetical order.
The field of organic electronics spans a very wide range of disciplines from physics and chemistry to hardware and software engineering. This makes the field of organic circuit design a daunting prospect full of intimidating complexities, yet to be exploited to its true potential. Small focused research groups also find it difficult to move beyond their usual boundaries and create systems-on-foil that are comparable with the established silicon world. This book has been written to address these issues and is intended for two main readerships: firstly, physics or materials researchers who have thus far designed circuits using only basic drawing software; secondly, experienced silicon CMOS VLSI design engineers who are already knowledgeable in the design of full custom transistor-level circuits but are not familiar with organic devices or thin-film transistor devices. In guiding the reader through the disparate and broad subject matters, a concise text has been written covering the physics and chemistry of the materials, the derivation of the transistor models, the software construction of the simulation compact models, and the engineering challenges of a right-first-time design flow, with notes and references to the current state-of-the-art advances and publications. Real-world examples of simulation models, circuit designs, fabricated samples, and measurements have also been given, demonstrating how the theory can be used in applications.
The purpose of the 10th ACIS International Conference on Software Engineering Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD rd 2009), held in Daegu, Korea on May 27–29, 2009, the 3 International Workshop st on e-Activity (IWEA 2009) and the 1 International Workshop on Enterprise Architecture Challenges and Responses (WEACR 2009) is to aim at bringing together researchers and scientist, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. Our conference officers selected the best 24 papers from those papers accepted for presentation at the conference in order to publish them in this volume. The papers were chosen based on review scores submitted by members of the program committee, and underwent further rounds of rigorous review. In chapter 1, Igor Crk and Chris Gniady propose a network-aware energy m- agement mechanism that provides a low-cost solution that can significantly reduce energy consumption in the entire system while maintaining responsiveness of local interactive workloads. Their dynamic mechanisms reduce the decision delay before the disk is spun-up, reduce the number of erroneous spin-ups in local wo- stations, decrease the network bandwidth, and reduce the energy consumption of individual drives. In chapter 2, Yoshihito Saito and Tokuro Matsuo describe a task allocation mechanism and its performance concerning with software developing. They run simulations and discuss the results in terms of effective strategies of task allocation.
Wireless communication is one of the fastest growing industry segments today. Many types of wireless networks are now being used for applications such as personal communication, entertainment, rural and urban healthcare, smart home building, inventory control, and surveillance. This book introduces the basic concepts of wireless networks and mobile computing to give engineering students at the undergraduate/graduate level a solid background in the field. It also looks at the latest research and challenging problems in the field to serve as a reference for advanced-level researchers. Wireless Networks and Mobile Computing begins with an introduction to the different types of wireless networks, including Wi-Fi, ZigBee, cellular mobile, ad hoc, cognitive radio, wireless mesh, and wireless sensor. Subsequent chapters address more advanced topics such as: Mobility, bandwidth, and node location management issues in mobile networks Message communication techniques and protocols in ad hoc networks Recent research and future direction of wireless local area networks (WLANs) Deployment of sensor nodes in wireless sensor networks (WSNs) Energy-efficient communication in wireless networks Security aspects of wireless communication The book includes exercises at the end of every chapter to help give students a better insight into the topics presented. It includes a number of advanced-level exercises, which are research problems that may be taken up by researchers in the respective areas. This book provides a valuable reference for classroom study/teaching as well as for technology development and research in the relevant areas.
The huge and growing demand for wireless communication systems has spurred a massive effort on the parts of the computer science and electrical engineering communities to formulate ever-more efficient protocols and algorithms. Written by a respected figure in the field, Handbook of Wireless Networks and Mobile Computing is the first book to cover the subject from a computer scientist's perspective. It provides detailed practical coverage of an array of key topics, including cellular networks, channel assignment, queuing, routing, power optimization, and much more.
This book details the engineering principles underlying mobile computing, serving as a basic reference as text for graduate and advanced undergraduates. It is the first systematic explanation of mobile communications as a discipline in itself, containing Exercises, projects, and solutions.
This book provides the most up-to-date research and development on wearable computing, wireless body sensor networks, wearable systems integrated with mobile computing, wireless networking and cloud computing This book has a specific focus on advanced methods for programming Body Sensor Networks (BSNs) based on the reference SPINE project. It features an on-line website (http://spine.deis.unical.it) to support readers in developing their own BSN application/systems and covers new emerging topics on BSNs such as collaborative BSNs, BSN design methods, autonomic BSNs, integration of BSNs and pervasive environments, and integration of BSNs with cloud computing. The book provides a description of real BSN prototypes with the possibility to see on-line demos and download the software to test them on specific sensor platforms and includes case studies for more practical applications. • Provides a future roadmap by learning advanced technology and open research issues • Gathers the background knowledge to tackle key problems, for which solutions will enhance the evolution of next-generation wearable systems • References the SPINE web site (http://spine.deis.unical.it) that accompanies the text • Includes SPINE case studies and span topics like human activity recognition, rehabilitation of elbow/knee, handshake detection, emotion recognition systems Wearable Systems and Body Sensor Networks: from modeling to implementation is a great reference for systems architects, practitioners, and product developers. Giancarlo Fortino is currently an Associate Professor of Computer Engineering (since 2006) at the Department of Electronics, Informatics and Systems (DEIS) of the University of Calabria (Unical), Rende (CS), Italy. He was recently nominated Guest Professor in Computer Engineering of Wuhan University of Technology on April, 18 2012 (the term of appointment is three years). His research interests include distributed computing and networks, wireless sensor networks, wireless body sensor networks, agent systems, agent oriented software engineering, streaming content distribution networks, distributed multimedia systems, GRID computing. Raffaele Gravina received the B.Sc. and M.S. degrees both in computer engineering from the University of Calabria, Rende, Italy, in 2004 and 2007, respectively. Here he also received the Ph.D. degree in computer engineering. He's now a Postdoctoral research fellow at University of Calabria. His research interests are focused on high-level programming methods for WSNs, specifically Wireless Body Sensor Networks. He wrote almost 30 scientific/technical articles in the area of the proposed Book. He is co-founder of SenSysCal S.r.l., a spin-off company of the University of Calabria, and CTO of the wearable computing area of the company. Stefano Galzarano received the B.S. and M.S. degrees both in computer engineering from the University of Calabria, Rende, Italy, in 2006 and 2009, respectively. He is currently pursuing a joint Ph.D. degree in computer engineering with University of Calabria and Technical University of Eindhoven (The Netherlands). His research interests are focused on high-level programming methods for wireless sensor networks and, specifically, novel methods and frameworks for autonomic wireless body sensor networks.
This book focuses on modeling and optimization of cloud-ready and content-oriented networks in the context of different layers and accounts for specific constraints following from protocols and technologies used in a particular layer. It addresses a wide range of additional constraints important in contemporary networks, including various types of network flows, survivability issues, multi-layer networking, and resource location. The book presents recent existing and new results in a comprehensive and cohesive way. The contents of the book are organized in five chapters, which are mostly self-contained. Chapter 1 briefly presents information on cloud computing and content-oriented services, and introduces basic notions and concepts of network modeling and optimization. Chapter 2 covers various optimization problems that arise in the context of connection-oriented networks. Chapter 3 focuses on modeling and optimization of Elastic Optical Networks. Chapter 4 is devoted to overlay networks. The book concludes with Chapter 5, summarizing the book and present recent research trends in the field of network optimization.
Is Donald Trump’s "War on the Media" new news, fake news, or business as usual? Presidents have always "used" the media and felt abused by it. Tried and true vehicles such as press conferences, routine speeches and the State of the Union address have served presidents’ interests and received significant coverage by the print media. As new technologies have entered the media spectrum, the speed and pervasiveness of these interactions have changed dramatically. President Obama ushered in the social media presidency, while President Trump has become the tweeter-in-chief. This book shows how each of these developments affects what is communicated and how it is received by the public.
Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. Key Features Build a full-fledged image processing application using JuliaImages Perform basic to advanced image and video stream processing with Julia's APIs Understand and optimize various features of OpenCV with easy examples Book Description Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. What you will learn Analyze image metadata and identify critical data using JuliaImages Apply filters and improve image quality and color schemes Extract 2D features for image comparison using JuliaFeatures Cluster and classify images with KNN/SVM machine learning algorithms Recognize text in an image using the Tesseract library Use OpenCV to recognize specific objects or faces in images and videos Build neural network and classify images with MXNet Who This Book Is For Hands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. Basic knowledge of Julia will help you understand the concepts more effectively. Table of Contents Getting Started with JuliaImages Image Enhancement Image Adjustment Image Segmentation Image Representation Introduction to Neural Networks Using Pre-Trained Neural Networks Open CV Case Study: Book cover classification, analysis and recognition