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Probability, Markov Chains, Queues, and Simulation: The Mathematical Basis of Performance Modeling
Par William J. Stewart. 2009
Probability, Markov Chains, Queues, and Simulation provides a modern and authoritative treatment of the mathematical processes that underlie performance modeling.…
The detailed explanations of mathematical derivations and numerous illustrative examples make this textbook readily accessible to graduate and advanced undergraduate students taking courses in which stochastic processes play a fundamental role. The textbook is relevant to a wide variety of fields, including computer science, engineering, operations research, statistics, and mathematics.The textbook looks at the fundamentals of probability theory, from the basic concepts of set-based probability, through probability distributions, to bounds, limit theorems, and the laws of large numbers. Discrete and continuous-time Markov chains are analyzed from a theoretical and computational point of view. Topics include the Chapman-Kolmogorov equations; irreducibility; the potential, fundamental, and reachability matrices; random walk problems; reversibility; renewal processes; and the numerical computation of stationary and transient distributions. The M/M/1 queue and its extensions to more general birth-death processes are analyzed in detail, as are queues with phase-type arrival and service processes. The M/G/1 and G/M/1 queues are solved using embedded Markov chains; the busy period, residual service time, and priority scheduling are treated. Open and closed queueing networks are analyzed. The final part of the book addresses the mathematical basis of simulation.Each chapter of the textbook concludes with an extensive set of exercises. An instructor's solution manual, in which all exercises are completely worked out, is also available (to professors only).Numerous examples illuminate the mathematical theoriesCarefully detailed explanations of mathematical derivations guarantee a valuable pedagogical approachEach chapter concludes with an extensive set of exercisesIntelligent Control and Smart Energy Management: Renewable Resources and Transportation (Springer Optimization and Its Applications #181)
Par Maude Josée Blondin, João Pedro Fernandes Trovão, Hicham Chaoui, Panos M. Pardalos. 2022
This volume aims to provide a state-of-the-art and the latest advancements in the field of intelligent control and smart energy…
management. Techniques, combined with technological advances, have enabled the deployment of new operating systems in many engineering applications, especially in the domain of transport and renewable resources. The control and energy management of transportation and renewable resources are shifting towards autonomous reasoning, learning, planning and operating. As a result, these techniques, also referred to as autonomous control and energy management, will become practically ubiquitous soon. The discussions include methods, based on neural control (and others) as well as distributed and intelligent optimization. While the theoretical concepts are detailed and explained, the techniques presented are tailored to transport and renewable resources applications, such as smart grids and automated vehicles. The reader will grasp the most important theoretical concepts as well as to fathom the challenges and needs related to timely practical applications. Additional content includes research perspectives and future direction as well as insight into the devising of techniques that will meet tomorrow’s scientific needs. This contributed volume is for researchers, graduate students, engineers and practitioners in the domains of control, energy, and transportation.Artificial Intelligence of Things: First International Conference, ICAIoT 2023, Chandigarh, India, March 30–31, 2023, Revised Selected Papers, Part II (Communications in Computer and Information Science #1930)
Par Rama Krishna Challa, Gagangeet Singh Aujla, Lini Mathew, Amod Kumar, Mala Kalra, S. L. Shimi, Garima Saini, Kanika Sharma. 2024
These two volumes constitute the revised selected papers of First International Conference, ICAIoT 2023, held in Chandigarh, India, during March…
30–31, 2023.The 47 full papers and the 10 short papers included in this volume were carefully reviewed and selected from 401 submissions. The two books focus on research issues, opportunities and challenges of AI and IoT applications. They present the most recent innovations, trends, and concerns as well as practical challenges encountered and solutions adopted in the fields of AI algorithms implementation in IoT SystemsEsports in the Asia-Pacific: Ecosystem, Communities, and Identities (Palgrave Series in Asia and Pacific Studies)
Par Filippo Gilardi, Paul Martin. 2023
This is an edited book that fills a gap in knowledge by providing a comprehensive view of esports practice from…
the Asia and Pacific region. The volume looks at the development of esports through the interconnections between institutions, industries, players, and society, across the Asia-Pacific. Over the last two decades, the Asia-Pacific region has been central to the growth and development of esports. The value of this book lies in its ability to provide a view of esport from countries that are currently underrepresented in the literature such as Vietnam, Malaysia, Taiwan, Hong Kong, Singapore, Philippines and Australia while still integrating chapters looking at more well-researched countries such as China, Korea, and Japan. Through its diverse case studies, the book serves as a resource for scholars and educators worldwide who seek diverse examples with which to improve understanding of the esports phenomenon and the inclusiveness of media and communication curricula. chapters “Introduction to Esports in the Asia-Pacific” and “Conclusions to Esports in the Asia–Pacific” are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.Mathematics of Public Health: Mathematical Modelling from the Next Generation (Fields Institute Communications #88)
Par Jummy David, Jianhong Wu. 2023
This volume addresses SDG 3 from a mathematical standpoint, sharing novel perspectives of existing communicable disease modelling technologies of the next…
generation and disseminating new developments in modelling methodologies and simulation techniques. These methodologies are important for training and research in communicable diseases and can be applied to other threats to human health. The contributions contained in this collection/book cover a range of modelling techniques that have been and may be used to support decision-making on critical health related issues such as: Resource allocation Impact of climate change on communicable diseases Interaction of human behaviour change, and disease spread Disease outbreak trajectories projection Public health interventions evaluation Preparedness and mitigation of emerging and re-emerging infectious diseases outbreaks Development of vaccines and decisions around vaccine allocation and optimization The diseases and public health issues in this volume include, but are not limited to COVID-19, HIV, Influenza, antimicrobial resistance (AMR), the opioid epidemic, Lyme Disease, Zika, and Malaria. In addition, this volume compares compartmental models, agent-based models, machine learning and network. Readers have an opportunity to learn from the next generation perspective of evolving methodologies and algorithms in modelling infectious diseases, the mathematics behind them, the motivation for them, and some applications to supporting critical decisions on prevention and control of communicable diseases. This volume was compiled from the weekly seminar series organized by the Mathematics for Public Health (MfPH) Next Generation Network. This network brings together the next generation of modellers from across Canada and the world, developing the latest mathematical models, modeling methodologies, and analytical and simulation tools for communicable diseases of global public health concerns. The weekly seminar series provides a unique forum for this network and their invited guest speakers to share their perspectives on the status and future directions of mathematics of public health.The Myth of Digital Democracy
Par Matthew Hindman. 2009
Is the Internet democratizing American politics? Do political Web sites and blogs mobilize inactive citizens and make the public sphere…
more inclusive? The Myth of Digital Democracy reveals that, contrary to popular belief, the Internet has done little to broaden political discourse but in fact empowers a small set of elites--some new, but most familiar. Matthew Hindman argues that, though hundreds of thousands of Americans blog about politics, blogs receive only a miniscule portion of Web traffic, and most blog readership goes to a handful of mainstream, highly educated professionals. He shows how, despite the wealth of independent Web sites, online news audiences are concentrated on the top twenty outlets, and online organizing and fund-raising are dominated by a few powerful interest groups. Hindman tracks nearly three million Web pages, analyzing how their links are structured, how citizens search for political content, and how leading search engines like Google and Yahoo! funnel traffic to popular outlets. He finds that while the Internet has increased some forms of political participation and transformed the way interest groups and candidates organize, mobilize, and raise funds, elites still strongly shape how political material on the Web is presented and accessed. The Myth of Digital Democracy. debunks popular notions about political discourse in the digital age, revealing how the Internet has neither diminished the audience share of corporate media nor given greater voice to ordinary citizens.Run and Jump: The Meaning of the 2D Platformer (Playful Thinking)
Par Peter D. McDonald. 2024
How abstract design decisions in 2D platform games create rich worlds of meaning for players.Since the 1980s, 2D platform games…
have captivated their audiences. Whether the player scrambles up the ladders in Donkey Kong or leaps atop an impossibly tall pipe in Super Mario Bros., this deceptively simple visual language has persisted in our cultural imagination of video games. In Run and Jump, Peter McDonald surveys the legacy of 2D platform games and examines how abstract and formal design choices have kept players playing. McDonald argues that there is a rich layer of meaning underneath, say, the quality of an avatar&’s movement, the pacing and rhythm of level design, the personalities expressed by different enemies, and the emotion elicited by collecting a coin.To understand these games, McDonald draws on technical discussions by game designers as well as theoretical work about the nature of signs from structuralist semiotics. Interspersed throughout are design exercises that show how critical interpretation can become a tool for game designers to communicate with their players. With examples drawn from over forty years of game history, and from games made by artists, hobbyists, iconic designers, and industry studios, Run and Jump presents a comprehensive—and engaging—vision of this slice of game history.Topics in Quaternion Linear Algebra (Princeton Series in Applied Mathematics #45)
Par Leiba Rodman. 2014
Quaternions are a number system that has become increasingly useful for representing the rotations of objects in three-dimensional space and…
has important applications in theoretical and applied mathematics, physics, computer science, and engineering. This is the first book to provide a systematic, accessible, and self-contained exposition of quaternion linear algebra. It features previously unpublished research results with complete proofs and many open problems at various levels, as well as more than 200 exercises to facilitate use by students and instructors. Applications presented in the book include numerical ranges, invariant semidefinite subspaces, differential equations with symmetries, and matrix equations.Designed for researchers and students across a variety of disciplines, the book can be read by anyone with a background in linear algebra, rudimentary complex analysis, and some multivariable calculus. Instructors will find it useful as a complementary text for undergraduate linear algebra courses or as a basis for a graduate course in linear algebra. The open problems can serve as research projects for undergraduates, topics for graduate students, or problems to be tackled by professional research mathematicians. The book is also an invaluable reference tool for researchers in fields where techniques based on quaternion analysis are used.Validated Numerics: A Short Introduction to Rigorous Computations
Par Warwick Tucker. 2011
A comprehensive, self-contained primer on validated numericsThis textbook provides a comprehensive introduction to the theory and practice of validated numerics,…
an emerging new field that combines the strengths of scientific computing and pure mathematics. In numerous fields ranging from pharmaceutics and engineering to weather prediction and robotics, fast and precise computations are essential. Based on the theory of set-valued analysis, a new suite of numerical methods is developed, producing efficient and reliable solvers for numerous problems in nonlinear analysis. Validated numerics yields rigorous computations that can find all possible solutions to a problem while taking into account all possible sources of error—fast, and with guaranteed accuracy.Validated Numerics offers a self-contained primer on the subject, guiding readers from the basics to more advanced concepts and techniques. This book is an essential resource for those entering this fast-developing field, and it is also the ideal textbook for graduate students and advanced undergraduates needing an accessible introduction to the subject. Validated Numerics features many examples, exercises, and computer labs using MATLAB/C++, as well as detailed appendixes and an extensive bibliography for further reading.Provides a comprehensive, self-contained introduction to validated numericsRequires no advanced mathematics or programming skillsFeatures many examples, exercises, and computer labsIncludes code snippets that illustrate implementationSuitable as a textbook for graduate students and advanced undergraduatesCoding Freedom: The Ethics and Aesthetics of Hacking
Par E. Gabriella Coleman. 2013
Who are computer hackers? What is free software? And what does the emergence of a community dedicated to the production…
of free and open source software--and to hacking as a technical, aesthetic, and moral project--reveal about the values of contemporary liberalism? Exploring the rise and political significance of the free and open source software (F/OSS) movement in the United States and Europe, Coding Freedom details the ethics behind hackers' devotion to F/OSS, the social codes that guide its production, and the political struggles through which hackers question the scope and direction of copyright and patent law. In telling the story of the F/OSS movement, the book unfolds a broader narrative involving computing, the politics of access, and intellectual property. E. Gabriella Coleman tracks the ways in which hackers collaborate and examines passionate manifestos, hacker humor, free software project governance, and festive hacker conferences. Looking at the ways that hackers sustain their productive freedom, Coleman shows that these activists, driven by a commitment to their work, reformulate key ideals including free speech, transparency, and meritocracy, and refuse restrictive intellectual protections. Coleman demonstrates how hacking, so often marginalized or misunderstood, sheds light on the continuing relevance of liberalism in online collaboration.When Computers Were Human
Par David Alan Grier. 2005
Before Palm Pilots and iPods, PCs and laptops, the term "computer" referred to the people who did scientific calculations by…
hand. These workers were neither calculating geniuses nor idiot savants but knowledgeable people who, in other circumstances, might have become scientists in their own right. When Computers Were Human represents the first in-depth account of this little-known, 200-year epoch in the history of science and technology. Beginning with the story of his own grandmother, who was trained as a human computer, David Alan Grier provides a poignant introduction to the wider world of women and men who did the hard computational labor of science. His grandmother's casual remark, "I wish I'd used my calculus," hinted at a career deferred and an education forgotten, a secret life unappreciated; like many highly educated women of her generation, she studied to become a human computer because nothing else would offer her a place in the scientific world. The book begins with the return of Halley's comet in 1758 and the effort of three French astronomers to compute its orbit. It ends four cycles later, with a UNIVAC electronic computer projecting the 1986 orbit. In between, Grier tells us about the surveyors of the French Revolution, describes the calculating machines of Charles Babbage, and guides the reader through the Great Depression to marvel at the giant computing room of the Works Progress Administration. When Computers Were Human is the sad but lyrical story of workers who gladly did the hard labor of research calculation in the hope that they might be part of the scientific community. In the end, they were rewarded by a new electronic machine that took the place and the name of those who were, once, the computers.Dynamic Models in Biology
Par Stephen P. Ellner, John Guckenheimer. 2006
From controlling disease outbreaks to predicting heart attacks, dynamic models are increasingly crucial for understanding biological processes. Many universities are…
starting undergraduate programs in computational biology to introduce students to this rapidly growing field. In Dynamic Models in Biology, the first text on dynamic models specifically written for undergraduate students in the biological sciences, ecologist Stephen Ellner and mathematician John Guckenheimer teach students how to understand, build, and use dynamic models in biology. Developed from a course taught by Ellner and Guckenheimer at Cornell University, the book is organized around biological applications, with mathematics and computing developed through case studies at the molecular, cellular, and population levels. The authors cover both simple analytic models--the sort usually found in mathematical biology texts--and the complex computational models now used by both biologists and mathematicians. Linked to a Web site with computer-lab materials and exercises, Dynamic Models in Biology is a major new introduction to dynamic models for students in the biological sciences, mathematics, and engineering.The Engineering Executive's Primer
Par Will Larson. 2024
As an engineering manager, you almost always have someone in your company to turn to for advice: a peer on…
another team, your manager, or even the head of engineering. But who do you turn to if you're the head of engineering? Engineering executives have a challenging learning curve, and many folks excitedly start their first executive role only to leave frustrated within the first 18 months.In this book, author Will Larson shows you ways to obtain your first executive job and quickly ramp up to meet the challenges you may not have encountered in non-executive roles: measuring engineering for both engineers and the CEO, company-scoped headcount planning, communicating successfully across a growing organization, and figuring out what people actually mean when they keep asking for a "technology strategy."This book explains how to:Get an engineering executive job, negotiate the contract, and onboard at your new companyRun an engineering planning process and communicate effectively with the organizationDirect the core meetings necessary to operate an effective engineering organizationHire, onboard, and run performance managementManage yourself and remain effective through many challengesLeave the job when the time is rightWill Larson was the chief technology officer at Calm and the author of An Elegant Puzzle and Staff Engineer. He's also a prolific writer on his blog, Irrational Exuberance.Advances in Aerial Sensing and Imaging
Par Sandeep Kumar, Nageswara Rao Moparthi, Abhishek Bhola, Ravinder Kaur, A. Senthil, K.M.V.V. Prasad. 2024
Advances in Aerial Sensing and Imaging This groundbreaking book is a comprehensive guide to the technology found in the complex…
field of aerial sensing and imaging, and the real-world challenges that stem from its growing significance and demand. The advent of unmanned aerial vehicles (UAVs), or drones, along with advancements in sensor technology and image processing techniques, has further enhanced the capabilities and applications of aerial sensing and imaging. These developments have opened up new research, innovation, and exploration avenues. Aerial sensing and imaging have rapidly evolved over the past few decades and have revolutionized several fields, including land cover and usage prediction, crop and livestock management, road accident monitoring, poverty estimation, defense, agriculture, forest fire detection, UAV security issues, and open parking management. This book provides a comprehensive understanding and knowledge of the underlying technology and its practical applications in different domains. Audience Computer science and artificial intelligence researchers working in the fields of aerial sensing and imaging, as well as professionals working in industries such as agriculture, geology, surveying, urban planning, disaster response, etc; this book provides them with practical guidance and instruction on how to apply aerial sensing and imaging for various purposes and stay up-to-date with the latest developments in the domain.Optimized Predictive Models in Health Care Using Machine Learning
Par Sandeep Kumar, Anuj Sharma, Navneet Kaur, Lokesh Pawar, Rohit Bajaj. 2024
OPTIMIZED PREDICTIVE MODELS IN HEALTH CARE USING MACHINE LEARNING This book is a comprehensive guide to developing and implementing optimized…
predictive models in healthcare using machine learning and is a required resource for researchers, healthcare professionals, and students who wish to know more about real-time applications. The book focuses on how humans and computers interact to ever-increasing levels of complexity and simplicity and provides content on the theory of optimized predictive model design, evaluation, and user diversity. Predictive modeling, a field of machine learning, has emerged as a powerful tool in healthcare for identifying high-risk patients, predicting disease progression, and optimizing treatment plans. By leveraging data from various sources, predictive models can help healthcare providers make informed decisions, resulting in better patient outcomes and reduced costs. Other essential features of the book include: provides detailed guidance on data collection and preprocessing, emphasizing the importance of collecting accurate and reliable data; explains how to transform raw data into meaningful features that can be used to improve the accuracy of predictive models; gives a detailed overview of machine learning algorithms for predictive modeling in healthcare, discussing the pros and cons of different algorithms and how to choose the best one for a specific application; emphasizes validating and evaluating predictive models; provides a comprehensive overview of validation and evaluation techniques and how to evaluate the performance of predictive models using a range of metrics; discusses the challenges and limitations of predictive modeling in healthcare; highlights the ethical and legal considerations that must be considered when developing predictive models and the potential biases that can arise in those models. Audience The book will be read by a wide range of professionals who are involved in healthcare, data science, and machine learning.Lifelong and Continual Learning Dialogue Systems (Synthesis Lectures on Human Language Technologies)
Par Sahisnu Mazumder, Bing Liu. 2024
This book introduces the new paradigm of lifelong and continual learning dialogue systems to endow dialogue systems with the ability…
to learn continually by themselves through their own self-initiated interactions with their users and the working environments. The authors present the latest developments and techniques for building such continual learning dialogue systems. The book explains how these developments allow systems to continuously learn new language expressions, lexical and factual knowledge, and conversational skills through interactions and dialogues. Additionally, the book covers techniques to acquire new training examples for learning new tasks during the conversation. The book also reviews existing work on lifelong learning and discusses areas for future research.This book gathers the proceedings of the 8th International Conference on Advancements of Medicine and Health Care through Technology, MEDITECH…
2022, held virtually on 20–22 October 2022, from Cluj-Napoca, Romania. It reports on both theoretical and practical developments in biomedical imaging and image processing, health technology, technologies for education, and biomedical signal processing and medical devices, measurements and instrumentation. Both the conference and the realization of this book were supported by the Romanian National Society for Medical Engineering and Biological Technology (SNIMTB).The 2x2 Matrix: Contingency, Confusion and the Metrics of Binary Classification
Par A. J. Larner. 2024
This book describes, extends, and illustrates the metrics of binary classification through worked examples.Worked examples based on pragmatic test accuracy…
study data are used in chapters to illustrate relevance to day-to-day clinical practice. Readers will gain an understanding of sensitivity and specificity and predictive values along with many other parameters.The contents are highly structured, and the use of worked examples facilitates understanding and interpretation.This book is a resource for clinicians in any discipline who are involved in the performance or assessment of test accuracy studies and professionals in the disciplines of machine learning or informatics wishing to gain insight into clinical applications of 2x2 tables.Cambridge International AS Level Information Technology Student's Book Second Edition
Par Graham Brown, Brian Sargent. 2024
Our AS Level student book is endorsed by Cambridge International Education to support the full syllabus for examination from 2025.Develop…
theoretical and practical IT skills with this comprehensive Student's Book written by experienced authors and examiners specially for the updated Cambridge International Education AS Level Information Technology syllabus (9626).- Improve understanding of concepts and terminology with clear explanations, labelled illustrations, photographs, diagrams, plus a glossary of key terms- Develop theoretical and practical skills with a range of exercises (multi choice through to discussion type questions), exam-style questions, step-by-step instructions and example answers that all ensure skills are developed alongside knowledge- Follow a structured route through the course with in-depth coverage of the full syllabusAlso available in the series:Cambridge International AS Level Information Technology Student Book eBook 9781036005597Cambridge International AS Level Information Technology Skills Workbook 9781510483064Blockchain and Machine Learning for IoT Security
Par Mourade Azrour, Jamal Mabrouki, Azidine Guezzaz, and Said Benkirane. 2024
The Internet of Things (IoT) involves physical devices, cars, household appliances, and any other physical appliance equipped with sensors, software,…
and network connections to gather and communicate data. Nowadays, this technology is embedded in everything from simple smart devices, to wearable equipment, to complex industrial machinery and transportation infrastructures. On the other hand, IoT equipment has been designed without considering security issues. Consequently, there are many challenges in terms of protection against IoT threats, which can lead to distressing situations. In fact, unlike other technological solutions, there are few standards and guidelines governing the protection of IoT technology. Moreover, few users are aware of the risks associated with IoT systems. Hence, Blockchain and Machine Learning for IoT Security discusses various recent techniques and solutions related to IoT deployment, especially security and privacy. This book addresses a variety of subjects, including a comprehensive overview of the IoT, and covers in detail the security challenges at each layer by considering how both the architecture and underlying technologies are employed. As acknowledged experts in the field, the authors provide remediation solutions for impaired security, as well as mitigation methods, and offer both prevention and improvement suggestions. Key Features: Offers a unique perspective on IoT security by introducing Machine Learning and Blockchain solutions Presents a well-rounded overview of the most recent advances in IoT security and privacy Discusses practical solutions and real-world cases for IoT solutions in various areas Provides solutions for securing IoT against various threats Discuses Blockchain technology as a solution for IoT This book is designed to provide all the necessary knowledge for young researchers, academics, and industry professionals who want to understand the advantages of artificial intelligence technology, machine learning, data analysis methodology, and Blockchain for securing IoT technologies.