This book gathers papers addressing state-of-the-art research in all areas of information and communication technologies and their applications in intelligent computing, cloud storage, data mining and software analysis. It presents the outcomes of the Fourth International Conference on Information and Communication Technology for Intelligent Systems, which was held in Ahmedabad, India. Divided into two volumes, the book discusses the fundamentals of various data analysis techniques and algorithms, making it a valuable resource for researchers and practitioners alike.

This two-volume set constitutes the refereed proceedings of the First International Conference International Conference on Application of Big Data, Blockchain, and Internet of Things for Education Informatization. The conference was held in August 2021 and due to COVID-19 pandemic virtually. The 99 revised full papers and 45 short papers have been selected from 503 submissions. The papers describe research fields such as "big data" and "information education". The aim of the conference is to provide international cooperation and exchange platforms for big data and information education experts, scholars and enterprise developers to share research results, discuss existing problems and challenges, and explore cutting-edge science and technology.

This book constitutes the thoroughly refereed post-conference proceedings of the 4th International Conference on Computing and Network Communications (CoCoNet'20), October 14-17, 2020, Chennai, India. The papers presented were carefully reviewed and selected from several initial submissions. The papers are organized in topical sections on Signal, Image and Speech Processing, Wireless and Mobile Communication, Internet of Things, Cloud and Edge Computing, Distributed Systems, Machine Intelligence, Data Analytics, Cybersecurity, Artificial Intelligence and Cognitive Computing and Circuits and Systems. The book is directed to the researchers and scientists engaged in various fields of computing and network communication domains.

Carrie Mauriello invites readers to take maximum advantage of the Internet's plethora of financial resources with Net Worth, Second Edition. This book helps to make the electronic superhighway a personal partner in building wealth. This edition includes discussions and Web resources that examine financial planning as well as investment tools to aid readers in identifying the most promising strategies. This book reveals that the Internet is a robust, powerful and profitable resource. This volume is a must-have for the shrewd investor and financial partner.
7Helps the reader calculate net worth
7Gives basics of capital accumulation
7Discusses a wide variety of investment tools, including stocks, bonds, mutual funds, options, IPOs and futures
7Explains the fundamentals of life, health, disability, property, and liability insurance
7Covers debt, financing, taxes, education funding, retirement planning, home buying, and estate planning
Net Worth Second Edition will also introduce readers to websites, books, . Magazines, on-line services, and more. The book comprises a primer on personal financial management and an exhaustive collection of finance-related tools, links, and resources available on the internet.
a primer for the average person looking to manage their own financial well-being inexpensively but expertly
an easy-to-use reference for financial planning resources, with an exhaustive list of books, magazines, organizations, and websites which will save the reader time and energy

This book constitutes the refereed proceedings of the 27th International Symposium on String Processing and Information Retrieval, SPIRE 2021, held in Lille, France, in October 2021.*The 14 full papers and 4 short papers presented together with 2 invited papers in this volume were carefully reviewed and selected from 30 submissions. They cover topics such as: data structures; algorithms; information retrieval; compression; combinatorics on words; and computational biology. *The symposium was held virtually.

This book provides a review of advanced topics relating to the theory, research, analysis and implementation in the context of big data platforms and their applications, with a focus on methods, techniques, and performance evaluation. The explosive growth in the volume, speed, and variety of data being produced every day requires a continuous increase in the processing speeds of servers and of entire network infrastructures, as well as new resource management models. This poses significant challenges (and provides striking development opportunities) for data intensive and high-performance computing, i.e., how to efficiently turn extremely large datasets into valuable information and meaningful knowledge. The task of context data management is further complicated by the variety of sources such data derives from, resulting in different data formats, with varying storage, transformation, delivery, and archiving requirements. At the same time rapid responses are needed for real-time applications. With the emergence of cloud infrastructures, achieving highly scalable data management in such contexts is a critical problem, as the overall application performance is highly dependent on the properties of the data management service.

This book provides an overview of the emerging smart connected world, and discusses the roles and the usage of underlying semantic computing and Internet-of-Things (IoT) technologies. The book comprises ten chapters overall, grouped in two parts. Part I "Smart Connected World: Overview and Technologies" consists of seven chapters and provides a holistic overview of the smart connected world and its supporting tools and technologies. Part II "Applications and Case Studies" consists of three chapters that describe applications and case studies in manufacturing, smart cities, health, and more. Each chapter is self-contained and can be read independently; taken together, readers get a bigger picture of the technological and application landscape of the smart connected world. This book is of interest for researchers, lecturers, and practitioners in Semantic Web, IoT and related fields. It can serve as a reference for instructors and students taking courses in hybrid computing getting abreast of cutting edge and future directions of a connected ecosystem. It will also benefit industry professionals like software engineers or data scientists, by providing a synergy between Web technologies and applications. This book covers the most important topics on the emerging field of the smart connected world. The contributions from leading active researchers and practitioners in the field are thought provoking and can help in learning and further research. The book is a valuable resource that will benefit academics and industry. It will lead to further research and advancement of the field. Bharat K. Bhargava, Professor of Computer Science, Purdue University, United States

This proceeding features papers discussing big data innovation for sustainable cognitive computing. The papers feature details on cognitive computing and its self-learning systems that use data mining, pattern recognition and natural language processing (NLP) to mirror the way the human brain works. This international conference focuses on cognitive computing technologies, from knowledge representation techniques and natural language processing algorithms to dynamic learning approaches. Topics covered include Data Science for Cognitive Analysis, Real-Time Ubiquitous Data Science, Platform for Privacy Preserving Data Science, and Internet-Based Cognitive Platform. The 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019) took place in Coimbatore, India on December 12-13, 2019. Contains proceedings from 2nd EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing (BDCC 2019), Coimbatore, India, December 12-13, 2019; Features topics ranging from Data Science for Cognitive Analysis to Internet-Based Cognitive Platforms; Includes contributions from researchers, academics, and professionals from around the world.

This volume constitutes the refereed proceedings of the 8th Workshop on Engineering Applications, WEA 2021, held in Medellin, Colombia, in October 2021. Due to the COVID-19 pandemic the conference was held in a hybrid mode. The 33 revised full papers and 11 short papers presented in this volume were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: computational intelligence; bioengineering; Internet of Things (IoT); optimization and operations research; engineering applications.

With the rapid development of big data, it is necessary to transfer the massive data generated by end devices to the cloud under the traditional cloud computing model. However, the delays caused by massive data transmission no longer meet the requirements of various real-time mobile services. Therefore, the emergence of edge computing has been recently developed as a new computing paradigm that can collect and process data at the edge of the network, which brings significant convenience to solving problems such as delay, bandwidth, and off-loading in the traditional cloud computing paradigm. By extending the functions of the cloud to the edge of the network, edge computing provides effective data access control, computation, processing and storage for end devices. Furthermore, edge computing optimizes the seamless connection from the cloud to devices, which is considered the foundation for realizing the interconnection of everything. However, due to the open features of edge computing, such as content awareness, real-time computing and parallel processing, the existing problems of privacy in the edge computing environment have become more prominent. The access to multiple categories and large numbers of devices in edge computing also creates new privacy issues. In this book, we discuss on the research background and current research process of privacy protection in edge computing. In the first chapter, the state-of-the-art research of edge computing are reviewed. The second chapter discusses the data privacy issue and attack models in edge computing. Three categories of privacy preserving schemes will be further introduced in the following chapters. Chapter three introduces the context-aware privacy preserving scheme. Chapter four further introduces a location-aware differential privacy preserving scheme. Chapter five presents a new blockchain based decentralized privacy preserving in edge computing. Chapter six summarize this monograph and propose future research directions. In summary, this book introduces the following techniques in edge computing: 1) describe an MDP-based privacy-preserving model to solve context-aware data privacy in the hierarchical edge computing paradigm; 2) describe a SDN based clustering methods to solve the location-aware privacy problems in edge computing; 3) describe a novel blockchain based decentralized privacy-preserving scheme in edge computing. These techniques enable the rapid development of privacy-preserving in edge computing.

Want to understand a certain PHP programming technique? Or learn how to accomplish a particular task? This cookbook is the first place to look. With more than 350 code-rich recipes revised for PHP 5.4 and 5.5, this third edition provides updated solutions for generating dynamic web content - everything from using basic data types to querying databases, and from calling RESTful APIs to testing and securing your site. Each recipe includes code solutions that you can freely use, along with a discussion of how and why they work. Whether you're an experienced PHP programmer or coming to PHP from another language, this book is an ideal on-the-job resource. You'll find recipes to help you with: Basic data types: strings, numbers, arrays, and dates and times Program building blocks: variables, functions, classes, and objects Web programming: cookies, forms, sessions, and authentication Database access using PDO, SQLite, and other extensions RESTful API clients and servers, including HTTP, XML, and OAuth Key concepts: email, regular expressions, and graphics creation Designing robust applications: security and encryption, error handling, debugging and testing, and performance tuning Files, directories, and PHP's Command Line Interface Libraries and package managers such as Composer and PECL

Sharpen your coding skills by exploring established computer science problems! Classic Computer Science Problems in Java challenges you with time-tested scenarios and algorithms. You'll work through a series of exercises based in computer science fundamentals that are designed to improve your software development abilities, improve your understanding of artificial intelligence, and even prepare you to ace an interview. Classic Computer Science Problems in Java will teach you techniques to solve common-but-tricky programming issues. You'll explore foundational coding methods, fundamental algorithms, and artificial intelligence topics, all through code-centric Java tutorials and computer science exercises. As you work through examples in search, clustering, graphs, and more, you'll remember important things you've forgotten and discover classic solutions to your "new" problems! Key Features * Recursion, memorization, bit manipulation * Search algorithms * Constraint-satisfaction problems * Graph algorithms * K-means clustering For intermediate Java programmers. About the technology In any computer science classroom you'll find a set of tried-and-true algorithms, techniques, and coding exercises. These techniques have stood the test of time as some of the best ways to solve problems when writing code, and expanding your Java skill set with these classic computer science methods will make you a better Java programmer. David Kopec is an assistant professor of computer science and innovation at Champlain College in Burlington, Vermont. He is the author of Dart for Absolute Beginners (Apress, 2014), Classic Computer Science Problems in Swift (Manning, 2018), and Classic Computer Science Problems in Python (Manning, 2019).

The simplest, most visual introduction to coding for adults. Using a graphic method to break complex subjects into user-friendly chunks, computer coding has never been easier thanks to this programming book. Here's what you'll find inside the pages of this coding for beginners book: - To reinforce learning, practical coding projects are followed by suggestions and challenges for the reader to adapt and personalise a project - Step-by-step explanations visually break down each section of code and explain how coding works - Written and checked by a team of expert coders - Includes widely used languages, from introduction to career-useful From learning Python coding and Javascript to HTML and Scratch, Beginner's Step-by-Step Coding Course brings the most essential coding skills within easy reach! Each chapter contains tutorials on practical programming projects designed to teach you the main applications of each coding language, such as building websites, creating games, and designing apps. You'll learn to think like a programmer by breaking a problem down into parts, before turning those parts into lines of code. Short, easy-to-follow steps then show you, piece by piece, how to build a complete programme. This essential coding guide contains everything you need to get on the road to code! It's perfect for anyone who wants to learn to code for a hobby or who wants to take their first steps towards a career in coding.

Supplement traditional interlibrary loan programs with this speedy document delivery system Since its introduction in 1991, the Ariel system has transformed the interlibrary loan of documents. Compared to standard interlibrary loan, Ariel is often simpler, faster, and cheaper, and it allows many users at a time to have access to requested documents. Though Ariel has enjoyed a rapidly increasing user base, Ariel: Internet Transmission Software for Document Delivery is the first book dedicated to Ariel and the experiences of libraries using it. Ariel: Internet Transmission Software for Document Delivery provides practical details on this innovative technology, including clear discussions of how the system works. The software manages the process of scanning requested documents, transmitting them between libraries and document suppliers over high-speed Internet connections, and logging their receipt. Ariel discusses the pros and cons of various delivery options, including Web-based delivery, email, and delivery of laser-printed hard copy by hand, mail, or courier service. This comprehensive volume covers all aspects of adopting and using Ariel, including: training library staff and overcoming their resistance patron needs and response choosing scanners and other equipment setting up consortia to share Ariel files copyright issues international use of Ariel enhancing the system to suit your needs Like its Shakespearean namesake, the Ariel system darts through the air to rapidly fetch what someone needs. Ariel: Internet Transmission Software for Document Delivery gives you the solid data you need to get the most out of Ariel.

This book is a collection of best selected research papers presented at the Conference on Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication (MDCWC 2020) held during October 22nd to 24th 2020, at the Department of Electronics and Communication Engineering, National Institute of Technology Tiruchirappalli, India. The presented papers are grouped under the following topics (a) Machine Learning, Deep learning and Computational intelligence algorithms (b)Wireless communication systems and (c) Mobile data applications and are included in the book. The topics include the latest research and results in the areas of network prediction, traffic classification, call detail record mining, mobile health care, mobile pattern recognition, natural language processing, automatic speech processing, mobility analysis, indoor localization, wireless sensor networks (WSN), energy minimization, routing, scheduling, resource allocation, multiple access, power control, malware detection, cyber security, flooding attacks detection, mobile apps sniffing, MIMO detection, signal detection in MIMO-OFDM, modulation recognition, channel estimation, MIMO nonlinear equalization, super-resolution channel and direction-of-arrival estimation. The book is a rich reference material for academia and industry.

This book presents selected papers from the 4th International Conference on Micro-Electronics and Telecommunication Engineering, held at SRM Institute of Science and Technology, Ghaziabad, India, during 26-27 September 2020. It covers a wide variety of topics in micro-electronics and telecommunication engineering, including micro-electronic engineering, computational remote sensing, computer science and intelligent systems, signal and image processing, and information and communication technology.

The stability analysis of stochastic models for telecommunication systems is an intensively studied topic. The analysis is, as a rule, a difficult problem requiring a refined mathematical technique, especially when one endeavors beyond the framework of Markovian models. The primary purpose of this book is to present, in a unified way, research into the stability analysis of a wide variety of regenerative queueing systems. It describes the theoretical foundations of this method, and then shows how it works with particular models, both classic ones as well as more recent models that have received attention. The focus lies on an in-depth and insightful mathematical explanation of the regenerative stability analysis method. The unique volume can serve as a textbook for students working in these and related scientific areas. The material is also of interest to engineers working in telecommunications field, who may be faced with the problem of stability of queueing systems.

This textbook describes the hands-on application of data science techniques to solve problems in manufacturing and the Industrial Internet of Things (IIoT). Monitoring and managing operational performance is a crucial activity for industrial and business organisations. The emergence of low-cost, accessible computing and storage, through Industrial Digital Technologies (IDT) and Industry 4.0, has generated considerable interest in innovative approaches to doing more with data. Data science, predictive analytics, machine learning, artificial intelligence and general approaches to modelling, simulating and visualising industrial systems have often been considered topics only for research labs and academic departments. This textbook debunks the mystique around applied data science and shows readers, using tutorial-style explanations and real-life case studies, how practitioners can develop their own understanding of performance to achieve tangible business improvements. All exercises can be completed with commonly available tools, many of which are free to install and use. Readers will learn how to use tools to investigate, diagnose, propose and implement analytics solutions that will provide explainable results to deliver digital transformation.

Focusing on the meanings, uses, and impacts of new media in childhood, family life, peer culture, and the relation between home and school, this volume sets out to address many of the questions, fears, and hopes regarding the changing place of media in the lives of today's children and young people.
The scholars contributing to this work argue that such questions--intellectual, empirical, and policy-related--can be productively addressed through cross-national research. Hence, this volume brings together researchers from 12 countries--Belgium, Denmark, Finland, France, Germany, the United Kingdom, Israel, Italy, the Netherlands, Spain, Sweden, and Switzerland--to present original and comprehensive findings regarding the diffusion and significance of new media and information technologies among children. Inspired by parallels and difference between the arrival of television in the family home during the 1950s and the present day arrival of new media, the research is based on in-depth interviews and a detailed comparative survey of 6- to 16-year-olds across Europe and in Israel. The result is a comprehensive, detailed, and fascinating account of how these technologies are rapidly becoming central to the daily lives of young people.
As a resource for researchers and students in media and communication studies, leisure and cultural studies, social psychology, and related areas, this volume provides crucial insights into the role of media in the lives of children. The findings included herein will also be of interest to policymakers in broadcasting, technology, and education throughout the world.

Prevent information overload with better indexing and retrieval strategies!In the fast-changing world of the Internet, the skills of the librarian are indispensable for managing the overwhelming amount of available data. Internet Searching and Indexing examines the tools and procedures available now and for the future that will help librarians, students, and patrons search the Internet more systematically, while helping information professionals design more efficient, effective search engines and Web pages. This comprehensive volume offers usable information for people at all levels of Internet savvy. Its clear explanations of the various ways search engines are structured will help new users take advantage of their attributes to design more effective retrieval strategies. It suggests practical ways for information professionals to use traditional library tools and concepts to make the Web more accessible. Moreover, it shows how the Web can be tapped as an immense resource to help librarians in the process of subject classification.Internet Searching and Indexing offers specific guidance on: how to classify various Web search tools and take advantage of their capabilities using signposts such as indexes, directories, and metadata to improve access to information on the Web the advantages of using facet analysis in Web page organizing, indexing, and searching the links between Internet subject trees and conventional bibliographic classification guidelines for interface design for developing Web-based OPACs applying Library of Congress subject headings to classifying Web subject access . . . and moreWith the vast amount of information that is added to the Web each day, finding data is becoming more time consuming and more complex. Internet Searching and Indexing will help you decrease the time you spend searching for the information you need and assist you in cataloging, classification, indexing, and creating quick and effective retrieval methods.

First Published in 2001. In this collection of essays and interviews, Mark Poster examines theoretical approaches and develops his own position on our information based society. He contends that new communications media disrupt and transfigure the way identities are constituted in cultural exchanges. He looks in detail at several aspects of what might be called "internet culture", including virtuality and democracy. Poster advocates an awareness of the Internet and other new forms of communication, calling for a mobilization to ensure accessibility to all and to configure technology into vehicles of open cultural creation. For example, nothing is pure about the Internet politically, he points out, and it remains an open question as to who will transform the potentiality of new communications media into determinate cultural configurations. This book explores the rupture and potentiality between the electronic self and the face-to-face self inherent in new forms of technology and media.

This book features research presented and discussed during the Research and Innovation Forum (Rii Forum) 2021. The Covid-19 pandemic and its social, political, and economic implications had confirmed that a more thorough debate on these issues and topics was needed. For this reason, the Rii Forum 2021 was devoted to the broadly defined question of the short- and long-term impact of the pandemic on our societies. This volume serves as an essential resource to understand the diverse ways in which Covid-19 impacted our societies, including the capacity to innovate, advances in technology, the evolution of the healthcare systems, business model innovation, the prospects of growth, the stability of political systems, and the future of education.

This contributed volume discusses essential topics and the fundamentals for Big Data Emergency Management and primarily focusses on the application of Big Data for Emergency Management. It walks the reader through the state of the art, in different facets of the big disaster data field. This includes many elements that are important for these technologies to have real-world impact. This book brings together different computational techniques from: machine learning, communication network analysis, natural language processing, knowledge graphs, data mining, and information visualization, aiming at methods that are typically used for processing big emergency data. This book also provides authoritative insights and highlights valuable lessons by distinguished authors, who are leaders in this field. Emergencies are severe, large-scale, non-routine events that disrupt the normal functioning of a community or a society, causing widespread and overwhelming losses and impacts. Emergency Management is the process of planning and taking actions to minimize the social and physical impact of emergencies and reduces the community's vulnerability to the consequences of emergencies. Information exchange before, during and after the disaster periods can greatly reduce the losses caused by the emergency. This allows people to make better use of the available resources, such as relief materials and medical supplies. It also provides a channel through which reports on casualties and losses in each affected area, can be delivered expeditiously. Big Data-Driven Emergency Management refers to applying advanced data collection and analysis technologies to achieve more effective and responsive decision-making during emergencies. Researchers, engineers and computer scientists working in Big Data Emergency Management, who need to deal with large and complex sets of data will want to purchase this book. Advanced-level students interested in data-driven emergency/crisis/disaster management will also want to purchase this book as a study guide.

This book addresses several aspects of environmental sustainability awareness and priorization, explores ways to use resources and processes more responsibly, and describes the strategies, models and tools required to overcome various challenges. Sustainable and green IT are used to minimize the current ICT recycling problems which are harming our planet. The book discusses the new green information technologies as alternatives to conventional ICT, which have significantly harmed nature, and examines how to make recent technologies such as cloud computing; social networking; smart technology; blockchains, IoT (internet-of-things); and big data sustainable. Exploring sustainability awareness and importance among individuals and organizations in the developed and developing countries, most of the contributions conclude that sustainability should be considered a duty in order to change mindsets, attitudes and actions so as to preserve our planet. Furthermore, it examines the green information technology strategies and models.

Provides readers with a listing of some of the most useful business and industry information sources available freely on the Internet Covers: sources of useful free business and industry information, sections on different industrial sectors, business information portals. Looks at things from the point of view of people doing business in the United Kingdom and also from the perspective of UK exporters with alphabetical listing of organisations, information providers, subject index and glossary.