The book is presents the papers presented at the 4th International Conference on Telecommunications and Communication Engineering (ICTCE 2020) held on 4 -6 December, in Singapore. It covers advanced research topics in the field of computer communication and networking organized into the topics of emerging technologies of wireless communication and networks, 5G wireless communication and networks, information and network security, internet of things and fog computing. These advanced research topics are taking the lead and representing the trend of the recent academic research in the field of computer communication and networking. It is expected that the collection and publication of the research papers with the advanced topics listed in this book will further promote high standard academic research in the field and make a significant contribution to the development of economics and human society.

With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment. The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves. The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision task Present key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learning Detail four innovative OLPS algorithms based on cutting-edge machine learning techniques Provide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the art Investigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB® code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics. It is also suitable for researchers and engineers interested in computational investment. Readers are encouraged to visit the authors’ website for updates: http://olps.stevenhoi.org.

Elixir offers new paradigms, and challenges you to test in unconventional ways. Start with ExUnit: almost everything you need to write tests covering all levels of detail, from unit to integration, but only if you know how to use it to the fullest - we'll show you how. Explore testing Elixir-specific challenges such as OTP-based modules, asynchronous code, Ecto-based applications, and Phoenix applications. Explore new tools like Mox for mocks and StreamData for property-based testing. Armed with this knowledge, you can create test suites that add value to your production cycle and guard you from regressions. Write Elixir tests that you can be proud of. Dive into Elixir's test philosophy and gain mastery over the terminology and concepts that underlie good tests. Create and structure a comprehensive ExUnit test suite, starting from the basics, and build comprehensive test coverage that will provide safety for refactoring and confidence that your code performs as designed. Use tests to make your software more reliable and fault tolerant. Explore the basic tool set provided by ExUnit and Mix to write and organize your test suite. Test code built around different OTP functionality. Isolate your code through dependency injection and by using Mox. Write comprehensive tests for Ecto projects, covering Ecto as a database tool as well as a standalone data validation tool. Test Phoenix channels from end to end, including authentication and joining topics. Write Phoenix controller tests and understand the concepts of integration testing in Elixir. Learn property-based testing with StreamData from the author who wrote the library. Code with high confidence that you are getting the most out of your test suite, with the right tools that make testing your code a pleasure and a valuable part of your development cycle. What You Need: To get the most out of this book, you will need to have installed Elixir 1.8 or later and Erlang/OTP 21 or later. In order to complete the relevant chapters, you will also need Ecto 3.1 or later, EctoSQL 3.1 or later and Phoenix 1.3 or later.

This book offers a comprehensive analysis of the variety of tools and techniques used today for the design and modeling of efficient and robust swarm-intelligence based systems: highly (or fully) decentralized, semi-autonomous, highly-scalable infrastructures in various real-life scenarios. Among others, the book reviews the use of the swarm intelligence paradigm in financial investment, blockchain protocols design, shared transportation systems, communication networks, and military applications. Theoretical and practical limitations of such systems are discussed, as well as trade-offs between the various economic and operational parameters of the systems. The book is intended for researchers and engineers in the fields of swarms systems, economics and operation research. Key Features • Explains, in a detailed and clear way, the mathematical principles behind swarm intelligence • Illustrates how swarm intelligence can be used in real-world systems • Reviews leading state-of-the-art approaches in the design and modeling of swarm systems today

Master Process Control Hands On, through Updated Practical Examples and MATLAB® Simulations Process Control: Modeling, Design, and Simulation, Second Edition, is a complete introduction to process control and has been fully updated, integrating current software tools to enable professionals and students to master critical techniques hands on through simulations based on modern versions of MATLAB. This revised edition teaches the field's most important techniques, behaviors, and control problems with even more practical examples and exercises. Wide-ranging enhancements include safety considerations, an expanded discussion of digital control, additional process examples, and updates throughout for newer versions of MATLAB and SIMULINK. Fundamentals of process control and instrumentation, including objectives, variables, block diagrams, and process flowsheets Methodologies for developing dynamic models of chemical processes, including compartmental models Dynamic behavior of linear systems: state-space models, transfer function-based models (including conversion to state space), and more Empirical and discrete-time models, including relationships among types of discrete models Feedback control; proportional, integral, and derivative (PID) controllers; and closed-loop stability analysis Frequency response analysis techniques for evaluating the robustness of control systems Improving control loop performance: internal model control (IMC), automatic tuning, gain scheduling, and enhanced disturbance rejection Split-range, selective, and override strategies for switching among inputs or outputs Control loop interactions and multivariable controllers An introduction to model predictive control (MPC), with a new discrete state-space model derivation exercise Bequette walks step by step through developing control instrumentation diagrams for an entire chemical process, reviewing common control strategies for individual unit operations, then discussing strategies for integrated systems. This edition also includes 16 learning modules demonstrating how to use MATLAB and SIMULINK to solve many key control problems, including new modules on process monitoring and safety, as well as a detailed new study of artificial pancreas systems for Type 1 diabetes. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

An eye-opening account of the tech arms race shaping out planet, from an award-winning journalist and AI insider to the world of Sam Altman and OpenAI

When longtime AI expert and journalist Karen Hao first began covering OpenAI in 2019, she thought they were the good guys. Founded as a nonprofit with safety enshrined as its core mission, it was meant, its leader Sam Altman told us, to act as a check against more purely market forces.

But the core truth of this massively disruptive sector is that it requires an unprecedented amount of proprietary resources: the ‘compute’ power of scarce high-end chips, the sheer volume of data that needs to be amassed at scale, the humans on the ground ‘cleaning it up’ for sweatshop wages throughout the Global South, and a truly alarming spike in the need for energy and water underlying everything. We have entered a new, ominous age of empire with OpenAI setting a breakneck pace, as a small group of the most valuable companies in human history try to chase it down.

In exhilarating prose and with unparalleled access to those closest to Sam Altman, Hao recounts the meteoric rise of OpenAI and shows us the sinister impact that this industry is having on society.

This book is a continuation and deepening of Sovereign Blockchain 1.0. It mainly includes three views: 1) Blockchain is a super public product based on digital civilization. 2) The Internet is an advanced level of industrial civilization, the core of which is connection; blockchain is an important symbol of digital civilization, the essence of which is reconstruction. 3) Digital currency will trigger a comprehensive change in the economic field, and digital identity will reconstruct the governance model in the social field, thereby changing the order of civilization. This book is not only a popular science book based on blockchain thinking, theory and application research, but also a scholarly work on the technical and philosophical issues of governance and the future. By reading Sovereign Blockchain 2.0, policymakers can quickly understand the basic knowledge and frontier dynamics of science and technology; science and technology workers can grasp the general trend, seize opportunities, face problems and difficulties, aim at the world's science and technology frontier and lead the direction of science and technology development; experts and scholars in law and legal fields can see new ideas, concepts and models of data governance; social science researchers can discover data sociology and data philosophy issues.

Morton Wagman examines the emulation of human cognition by artificial intelligence systems. Human thought and computer thought are compared in their distinctiveness and commonality. The book provides detailed examples of artificial intelligence programs (such as the FERMI System and the KEKADA program) accomplishing highly intellectual tasks. This, together with its coverage of general theoretical perspectives on the nature of cognition, make this volume both a valuable sourcebook and a stimulus for students and professionals in cognitive science, psychology, philosophy, and artificial intelligence courses.

A general introduction to the computational modeling of cognition opens the book. Considered next are computational reasoning and human rationality. The range, depth, and sensitivity of mathematical and legal reasoning systems are compared with human mathematicians and human jurisprudence. General issues concerning the quality of human rationality are examined in several contexts: the prediction of economic behavior, mathematical abstraction and the concept of the infintesimal, and probalilistic judgement under uncertainty. Other chapters consider the nature of problem solving in the context of general intellectual principles and specific domain knowledge, the cognition of scientific discovery, and language representation modes and information processing efficiency. In the last chapter the most impressive intellectual achievements of AI systems are summarized. Directions for further intellectual research in this realm are also indicated.

Including the latest Microsoft 365 features and enhanced support for Mac users, Cengage's Illustrated Series® Collection, Microsoft® 365® & Office® 2021 Introductory, 1st edition, helps you quickly master the nuances of Microsoft® Office. Its concise, student-friendly approach uses a proven two-page layout that allows you to work through an entire task without turning the page. Each module begins with a brief overview of the principles covered while large, full-color screen images illustrate what you see on your computer. Module Learning Objectives are mapped to Microsoft Office Specialist (MOS) certification objectives, and module scenarios are based on Burning Glass market insights data -- helping you sharpen the critical skills you need for real-world success. In addition, MindTap and SAM (Skills Assessment Manager) online resources help maximize your study time -- and results.

With over 90 million monthly users and counting, Roblox is one of the most popular games on the planet! The Big Book of Roblox helps players get the most out of this dynamic sandbox game. Packed with tips, hints, and hacks, this complete, up-to-date guide covers basic strategy as well as advanced tricks and is essential reading for anyone who wants to play like a pro. Topics covered include navigation, combat, trading, and mini games—accompanied by over 100 full-color gameplay photos. Additional chapters focus on building mode, popular in-game experiences, and even a look behind the scenes. Take your creations to new levels and maximize the value of your playing time with The Big Book of Roblox!

This book will introduce digital humanists at all levels of education to Python. It provides background and guidance on learning the Python computer programming language, and as it presumes no knowledge on the part of the reader about computers or coding concepts allows the reader to gradually learn the more complex tasks that are currently popular in the field of digital humanities. This book will be aimed at undergraduates, graduates, and faculty who are interested in learning how to use Python as a tool within their workflow. An Introduction to Python for Digital Humanists will act as a primer for students who wish to use Python, allowing them to engage with more advanced textbooks. This book fills a real need, as it is first Python introduction to be aimed squarely at humanities students, as other books currently available do not approach Python from a humanities perspective. It will be designed so that those experienced in Python can teach from it, in addition to allowing those who are interested in being self-taught can use it for that purpose. Key Features: Data analysis Data science Computational humanities Digital humanities Python Natural language processing Social network analysis App development

The Information Age has dawned at the same time the global political system is in transition. High technology performance and economic productivity are converging across the major developed regions of North America, East Asia, and Europe. If U.S. economic, military, and political leadership is to continue, it must depend more on flexible adaptation to the new technical and organizational realities and less on technological dominance. The heart of this adaptation lies in the evolution of a national technology policy that emphasizes market forces and the exploitation of network linkages within and among commercial and military organizations.

Data Driven Decisions: A Practical Toolkit for Library and Information Professionals is a simple, jargon-free guide to using data for decision making in library services. The book walks readers step-by-step through each stage of implementing, reviewing and embedding data driven decisions in their organisation, providing accessible visualisations, top tips, and downloadable tools to support readers on their data journey. Staring with the absolute basics of using data, the author creates a framework for building skills and knowledge slowly until the reader is comfortable with even complex uses of data. The book begins with an exploration of explore the foundations of data driven decisions in libraries including a look at the impact of the current financial climate on resources, theoretical foundations of data collection and analysis, and how this book can be used in practice. The next section takes readers through the data driven decisions model, providing the guide for understanding and manual for implementation of the model. Finally, the book provides further perspectives and reading surrounding analysis and implementation of data driven decisions. This section aims to give supplementary and focused information on different areas of data driven decisions which can be included in processes once the reader understands the foundation of the book from earlier chapters. Highly practical and written in an accessible style, this book is an essential resource for librarians and information professionals who increasingly need to justify decisions on programmes and services through quantifiable data.

PEEK “UNDER THE HOOD� OF BIG DATA ANALYTICS The world of big data analytics grows ever more complex. And while many people can work superficially with specific frameworks, far fewer understand the fundamental principles of large-scale, distributed data processing systems and how they operate. In Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood, renowned big-data experts and computer scientists Drs. Supun Kamburugamuve and Saliya Ekanayake deliver a practical guide to applying the principles of big data to software development for optimal performance. The authors discuss foundational components of large-scale data systems and walk readers through the major software design decisions that define performance, application type, and usability. You???ll learn how to recognize problems in your applications resulting in performance and distributed operation issues, diagnose them, and effectively eliminate them by relying on the bedrock big data principles explained within. Moving beyond individual frameworks and APIs for data processing, this book unlocks the theoretical ideas that operate under the hood of every big data processing system. Ideal for data scientists, data architects, dev-ops engineers, and developers, Foundations of Data Intensive Applications: Large Scale Data Analytics under the Hood shows readers how to: Identify the foundations of large-scale, distributed data processing systems Make major software design decisions that optimize performance Diagnose performance problems and distributed operation issues Understand state-of-the-art research in big data Explain and use the major big data frameworks and understand what underpins them Use big data analytics in the real world to solve practical problems

This book examines how World War Two is simulated through serious computer games, such as first-person shooters, flight and tank simulators, and grand strategy games. It argues that a particular dynamic emerges in these ‘simgames’, especially when curious players begin to look beyond gameplay for how to understand the past. This points them toward a wide range of ‘simtexts’—anything from game manuals or online resources such as YouTube, to published material in the popular sphere or even monographs by professional historians. This is important because major events like World War Two continue to feature in a wide range of game genres, and this engagement demonstrates how we are learning about the past outside of traditional mechanisms such as classrooms, teachers or textbooks. Utilizing interdisciplinary methods, this volume foregrounds the experience that simgames provide to players, especially in how they reconfigure and reimagine history. Despite its visceral power and instructive potential, the simulated digital experience created by simgames curates World War Two and other global events of similar magnitude within constrained frames that ignore much of what actually happened in the past. This suggests that as computer games continue to increase in power and fidelity—as seen with the expanding scope of virtual reality—then the range of what can be simulated will grow too. This will raise concerns about what is morally acceptable to be simulated, and what should remain unplayable.