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An Introduction to Harmony Search Optimization Method (SpringerBriefs in Applied Sciences and Technology)
by Xiaolei Wang Xiao-Zhi Gao Kai ZengerThis brief provides a detailed introduction, discussion and bibliographic review of the nature1-inspired optimization algorithm called Harmony Search. It uses a large number of simulation results to demonstrate the advantages of Harmony Search and its variants and also their drawbacks. The authors show how weaknesses can be amended by hybridization with other optimization methods. The Harmony Search Method with Applications will be of value to researchers in computational intelligence in demonstrating the state of the art of research on an algorithm of current interest. It also helps researchers and practitioners of electrical and computer engineering more generally in acquainting themselves with this method of vector-based optimization.
Introduction to High-Dimensional Statistics (Chapman & Hall/CRC Monographs on Statistics and Applied Probability #138)
by Christophe GiraudPraise for the first edition: "[This book] succeeds singularly at providing a structured introduction to this active field of research. … it is arguably the most accessible overview yet published of the mathematical ideas and principles that one needs to master to enter the field of high-dimensional statistics. … recommended to anyone interested in the main results of current research in high-dimensional statistics as well as anyone interested in acquiring the core mathematical skills to enter this area of research."—Journal of the American Statistical Association Introduction to High-Dimensional Statistics, Second Edition preserves the philosophy of the first edition: to be a concise guide for students and researchers discovering the area and interested in the mathematics involved. The main concepts and ideas are presented in simple settings, avoiding thereby unessential technicalities. High-dimensional statistics is a fast-evolving field, and much progress has been made on a large variety of topics, providing new insights and methods. Offering a succinct presentation of the mathematical foundations of high-dimensional statistics, this new edition: Offers revised chapters from the previous edition, with the inclusion of many additional materials on some important topics, including compress sensing, estimation with convex constraints, the slope estimator, simultaneously low-rank and row-sparse linear regression, or aggregation of a continuous set of estimators. Introduces three new chapters on iterative algorithms, clustering, and minimax lower bounds. Provides enhanced appendices, minimax lower-bounds mainly with the addition of the Davis-Kahan perturbation bound and of two simple versions of the Hanson-Wright concentration inequality. Covers cutting-edge statistical methods including model selection, sparsity and the Lasso, iterative hard thresholding, aggregation, support vector machines, and learning theory. Provides detailed exercises at the end of every chapter with collaborative solutions on a wiki site. Illustrates concepts with simple but clear practical examples.
Introduction to High Performance Computing for Scientists and Engineers (Chapman & Hall/CRC Computational Science)
by Georg Hager Gerhard WelleinWritten by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the author
Introduction to HPC with MPI for Data Science
by Frank NielsenThis gentle introduction to High Performance Computing (HPC) for Data Science using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions. Divided into two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters. In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications (like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework. In the second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable to tiny data problems. Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate how well they have assimilated the material covered in the book.
An Introduction to HTML5 Game Development with Phaser.js
by Travis FaasExperience the thrill of crafting your own HTML5 game with Phaser.js game engine. HTML5 and modern JavaScript game engines have helped revolutionized web based games. Each chapter in An Introduction to HTML5 Game Development with Phaser.js showcases a sample game that illustrates an aspect of Phaser.js (now Lazer.js) that can be used as is, or in remixed games of the developer’s design. Each of these examples help the reader to understand how to optimize JavaScript game development with modern project tooling like Grunt and Bower. Though the world of HTML game development continues to grow and evolve, An Introduction to HTML5 Game Development with Phaser.js, provides a grounded resource and vital learning tool to anyone looking to optimize web game development process. Key Features Chapter objectives and examples with sample code make concepts easy to grasp Master questions and chapter summaries further help to solidify these concepts Feature boxes that contain important hints and things to note help keep readers on the right path This book uses a "building blocks" approach to game development and starts with the technology required to get things running Each chapter will be a small sample game that demonstrates one piece of Phaser.js, giving the reader time to grasp and understand the core concepts Subsequent chapters will demonstrate new features, building upon the knowledge of previous examples
Introduction to Hybrid Intelligent Networks: Modeling, Communication, and Control
by Zhi-Hong Guan Bin Hu Xuemin Sherman ShenThis book covers the fundamental principles, new theories and methodologies, and potential applications of hybrid intelligent networks. Chapters focus on hybrid neural networks and networked multi-agent networks, including their communication, control and optimization synthesis. This text also provides a succinct but useful guideline for designing neural network-based hybrid artificial intelligence for brain-inspired computation systems and applications in the Internet of Things.Artificial Intelligence has developed into a deep research field targeting robots with more brain-inspired perception, learning, decision-making abilities, etc. This text devoted to a tutorial on hybrid intelligent networks that have been identified in nature and engineering, especially in the brain, modeled by hybrid dynamical systems and complex networks, and have shown potential application to brain-inspired intelligence. Included in this text are impulsive neural networks, neurodynamics, multiagent networks, hybrid dynamics analysis, collective dynamics, as well as hybrid communication, control and optimization methods. Graduate students who are interested in artificial intelligence and hybrid intelligence, as well as professors and graduate students who are interested in neural networks and multiagent networks will find this textbook a valuable resource. AI engineers and consultants who are working in wireless communications and networking will want to buy this book. Also, professional and academic institutions in universities and Mobile vehicle companies and engineers and managers who concern humans in the loop of IoT will also be interested in this book.
An Introduction to Image Classification: From Designed Models to End-to-End Learning
by Klaus D. ToenniesImage classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with deep neural networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight. The book starts from introducing methods for model-driven feature extraction and classification, including basic computer vision techniques for extracting high-level semantics from images. A brief overview of probabilistic classification with generative and discriminative classifiers is then provided. Next, neural networks are presented as a means to learn a classification model directly from labeled sample images, with individual components of the network discussed. The relationships between network components and those of a traditional designed model are explored, and different concepts for regularizing model training are explained. Finally, various methods for analyzing what a network has learned are covered in the closing section of the book. The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.
Introduction to Image Processing and Analysis
by John C. Russ J. Christian Russ<p>Image processing comprises a broad variety of methods that operate on images to produce another image. A unique textbook, Introduction to Image Processing and Analysis establishes the programming involved in image processing and analysis by utilizing skills in C compiler and both Windows and MacOS programming environments. The provided mathematical background illustrates the workings of algorithms and emphasizes the practical reasons for using certain methods, their effects on images, and their appropriate applications. The text concentrates on image processing and measurement and details the implementation of many of the most widely used and most important image processing and analysis algorithms. <p>Homework problems are included in every chapter with solutions available for download from the CRC Press website. The chapters work together to combine image processing with image analysis. The book begins with an explanation of familiar pixel array and goes on to describe the use of frequency space. Chapters 1 and 2 deal with the algorithms used in processing steps that are usually accomplished by a combination of measurement and processing operations, as described in chapters 3 and 4. The authors present each concept using a mixture of three mutually supportive tools: a description of the procedure with example images, the relevant mathematical equations behind each concept, and the simple source code (in C), which illustrates basic operations. In particularly, the source code provides a starting point to develop further modifications. <p>Written by John Russ, author of esteemed Image Processing Handbook now in its fifth edition, this book demonstrates functions to improve an image's of features and detail visibility, improve images for printing or transmission, and facilitate subsequent analysis.</p>
Introduction to Image Processing Using R
by Alejandro C. Frery Talita PercianoThis book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.
Introduction to Industrial Internet of Things and Industry 4.0
by Sudip Misra Chandana Roy Anandarup MukherjeeIndustrial IoT (IIoT) and Industry 4.0 are newly developing and fast emerging domains of interest among students, researchers, and professionals in academia and industry. Due to the popular demand of this topic, Introduction to Industrial Internet of Things and Industry 4.0 is written to serve a diverse readership from the domains of computer science and engineering, mechanical engineering, information technology, industrial engineering, electronics engineering, and other related branches of engineering. Based on the lead author’s massive open online courses (MOOCs), this book can be used as a textbook on the emerging paradigm of Industry 4.0 and IIoT, as well as a reference for professionals working in sectors of IIoT. The book covers the significant aspects of IIoT in detail, including sensors, actuators, data transmission, and data acquisition, which form the core of IIoT. Topics and concepts are presented in a comprehensive manner, so that readers can develop expertise and knowledge. The book helps beginners to gain a basic idea of Industry 4.0 and IIoT as the first section is an overview of IoT applications, infrastructure-based protocols, cloud computing, and fog computing. The second section is designed to impart a basic knowledge of Industry 4.0 and IIoT as well as of the different phases of development in industry. Delving into more advanced areas, other sections in the book cover: The business models and reference architecture of IIoT The technological aspects of Industry 4.0 and IIoT Predictive and prescriptive analytics applied in IIoT-based implementations Applications and case studies of IIoT Key enabling technologies of IIoT To aid students and professional master IIoT and Industry 4.0, the book includes conceptual questions, exercises, and learning objectives.
Introduction to Information Retrieval
by Christopher D. Manning Prabhakar Raghavan Hinrich SchützeClass-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, it gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike.
An Introduction to Information Science
by Roger FlynnThis book comprises an introduction to information as an external commodity; a data base that can be manipulated, retrieved, transmitted, and used. It is useful at an introductory undergraduate level and also for anyone who is new to the field of Information Science.
Introduction To Information Security: A Strategic-based Approach
by Timothy Shimeall Jonathan SpringMost introductory texts provide a technology-based survey of methods and techniques that leaves the reader without a clear understanding of the interrelationships between methods and techniques. By providing a strategy-based introduction, the reader is given a clear understanding of how to provide overlapping defenses for critical information. This understanding provides a basis for engineering and risk-management decisions in the defense of information. Information security is a rapidly growing field, with a projected need for thousands of professionals within the next decade in the government sector alone. It is also a field that has changed in the last decade from a largely theory-based discipline to an experience-based discipline. This shift in the field has left several of the classic texts with a strongly dated feel.
An Introduction to Information Security and ISO27001
by Steve G WatkinsThis book furnishes readers with an understanding of the basics of information security, including: a definition of what information security means; how managing information security can be achieved using an approach recognized world-wide; the sorts of factors that need to be considered in an information security regime, including how the perimeters of such a scheme can be properly defined; how an information security management system can ensure it is maximizing the effect of any budget it has; what sort of things resources might be invested in to deliver a consistent level of assurance; and how organizations can demonstrate the degree of assurance they offer with regards to information security, how to interpret claims of adherence to the ISO 27001 standard and exactly what it means. Corporate bodies will find this book useful at a number of stages in any information security project, including at the decision-making stage, at project initiation stage, and as part of an on-going awareness campaign.
Introduction to Information Systems: Seventh Edition
by R. Kelly Rainer Casey G. CegielskiThe goal of Introduction to Information Systems is to teach undergraduate business majors how to use information technology to master their current or future jobs. Students develop a working understanding of information systems and information technology and learn how to apply concepts to successfully facilitate business processes. This product demonstrates that IT is a key component of any business, whether a student is majoring in Accounting, Finance, Marketing, Human Resources, or Production/Operations Management.
Introduction to Information Systems (14th edition)
by James A. O'Brien George M. MarakasO'Brien's Introduction to Information Systems 14e continues to reflect the movement toward enterprise-wide business applications. George Marakas from the University of Kansas joins as a co-author on this new edition. New real world case studies correspond with this curriculum shift. The texts focus is on teaching the general business manager how to use and manage the most current IT technologies such as the Internet, Intranets, and Extranets for enterprise collaboration, and how IT contributes to competitive advantage, re-engineering business processes, problem solving, and decision-making.
Introduction to Information Systems for Health Information Technology
by Nanette B. Sayles Lauralyn Kavanaugh-BurkeIntroduction to Computers in Health, Information Management, Information Integrity and Data Quality, Databases System Selection, System Implementation Computers in HIM, Administrative Information Systems, Clinical Information Systems, Electronic Health Record, Consumer Informatics, Health Information Exchange, Standards, Security, Information and Data Governance, Role of HIM, Professionals in Information Systems.
An Introduction to Information Theory: Symbols, Signals and Noise
by John R. PierceBehind the familiar surfaces of the telephone, radio, and television lies a sophisticated and intriguing body of knowledge known as information theory. This is the theory that has permeated the rapid development of all sorts of communication, from color television to the clear transmission of photographs from the vicinity of Jupiter. Even more revolutionary progress is expected in the future.To give a solid introduction to this burgeoning field, J. R. Pierce has revised his well-received 1961 study of information theory for an up-to-date second edition. Beginning with the origins of the field, Dr. Pierce follows the brilliant formulations of Claude Shannon and describes such aspects of the subject as encoding and binary digits, entropy. language and meaning, efficient encoding , and the noisy channel. He then goes beyond the strict confines of the topic to explore the ways in which information theory relates to physics, cybernetics, psychology, and art. Mathematical formulas are introduced at the appropriate points for the benefit of serious students. A glossary of terms and an appendix on mathematical notation are provided to help the less mathematically sophisticated.J. R. Pierce worked for many years at the Bell Telephone Laboratories, where he became Director of Research in Communications Principles. He is currently affiliated with the engineering department of the California Institute of Technology. While his background is impeccable, Dr. Pierce also possesses an engaging writing style that makes his book all the more welcome. An Introduction to Information Theory continues to be the most impressive non-technical account available and a fascinating introduction to the subject for laymen."An uncommonly good study. . . . Pierce's volume presents the most satisfying discussion to be found."- Scientific American.
Introduction to Information Theory and Data Compression (Applied Mathematics)
by Peter D. Johnson Jr. Greg A. Harris D.C. HankersonAn effective blend of carefully explained theory and practical applications, this text imparts the fundamentals of both information theory and data compression. Although the two topics are related, this unique text allows either topic to be presented independently, and it was specifically designed so that the data compression section requires no pr
Introduction to Infrastructure as Code: A Brief Guide to the Future of DevOps
by Sneh Pandya Riya Guha ThakurtaGet inspired to explore the depths of the DevOps field. In today’s rapidly transforming world, Infrastructure as Code (IaC) has emerged as an effective approach to maintain, scale, and deploy software systems. This book offers a mixture of foundational IaC concepts and practical examples to give you hands-on experience.You will first gain an understanding of DevOps culture as well as how to adapt to IaC. Introduction to Infrastructure as Code begins by reviewing the innovative features that DevOps in general, and IaC in particular, have to offer for adoption and growth for different verticals. With this solid base established, you will then learn the importance, processes, and outcome of building infrastructure solutions.Authors Sneh Pandya and Riya Guha Thakurta then provide hands-on examples utilizing IaC platforms, open source tools, and essential considerations such as security, scalability, and deployments. Each chapter focuses on one vertical (i.e., foundations, architecture patterns, securing infrastructure, preparing for deployment), how it impacts the DevOps toolchain in a holistic manner, and how it can be used to build solutions specific to that vertical, with a detailed walkthrough of code, environments, and other tools. After completing this book, you’ll have launched your own infrastructure solution through an open source stack consisting of platforms and tools such as Terraform, Chef, and Puppet.What You Will LearnUnderstand the fundamentals of DevOps and Infrastructure as CodePrepare for the ever-evolving ecosystem of modular infrastructure and the needs of the futureAvoid potential pitfalls and breakdowns while working with infrastructureBuild scalable and efficient IaC solutions that work at a small, medium, and large scale in a real-life environmentUnderstand and be responsibly aware of security concerns related to the domain, and how to address themWho Is This Book ForBeginners interested in building a career in DevOps as well as professionals looking to gain expertise and advance their career with greater knowledge of IaC. including Technical Product Managers, and Architects.
Introduction to Integration Suite Capabilities: Learn SAP API Management, Open Connectors, Integration Advisor and Trading Partner Management
by Jaspreet BaggaDiscover the power of SAP Integration Suite's capabilities with this hands-on guide. Learn how this integration platform (iPaaS) can help you connect and automate your business processes with integrations, connectors, APIs, and best practices for a faster ROI. Over the course of this book, you will explore the powerful capabilities of SAP Integration Suite, including API Management, Open Connectors, Integration Advisor, Trading Partner Management, Migration Assessment, and Integration Assessment. With detailed explanations and real-world examples, this book is the perfect resource for anyone looking to unlock the full potential of SAP Integration Suite. With each chapter, you'll gain a greater understanding of why SAP Integration Suite can be the proverbial swiss army knife in your toolkit to design and develop enterprise integration scenarios, offering simplified integration, security, and governance for your applications. Author Jaspreet Bagga demonstrates how to create, publish, and monitor APIs with SAP API Management, and how to use its features to enhance your API lifecycle. He also provides a detailed walkthrough of how other capabilities of SAP Integration Suite can streamline your connectivity, design, development, and architecture methodology with a tool-based approach completely managed by SAP. Whether you are a developer, an architect, or a business user, this book will help you unlock the potential of SAP's Integration Suite platform, API Management, and accelerate your digital transformation. What You Will Learn Understand what APIs are, what they are used for, and why they are crucial for building effective and reliable applicationsGain an understanding of SAP Integration Suite's features and benefits Study SAP Integration assessment process, patterns, and much moreExplore tools and capabilities other than the Cloud Integration that address the full value chain of the enterprise integration components Who This Book Is For Web developers and application leads who want to learn SAP API Management.
Introduction to Intelligent Construction Technology of Transportation Infrastructure (Springer Tracts in Civil Engineering)
by Guanghui Xu Dongsheng WangThis book expounds on the related technologies of intelligent transportation infrastructure construction. Based on the essential characteristics of intelligent construction, "perception, analysis, decision-making, and execution," the basic structure of intelligent construction technology (ICT) is established. With the integration of engineering construction technologies, the analyses of the essence of intelligent algorithms and the feasibility of Artificial Intelligence (AI) are provided. The book introduces the essential characteristics of Big Data and the Internet of Things and their relationship with engineering construction. On this basis, the feasibility and implementation plan of intelligent technology applications in design, construction, and maintenance are analyzed and demonstrated with engineering examples. The book also combines ICT with intelligent construction talent training, the professional knowledge required for intelligent construction, and the theoretical basis to provide the methods for mastering new technologies. This book can be used by technical personnel in related fields such as highways, railways, airports, and urban road construction to understand and master innovative, intelligent construction technologies. It can also be a reference book for ICT-related college courses.
Introduction to Intelligent Surveillance: Surveillance Data Capture, Transmission, and Analytics (Texts in Computer Science)
by Wei Qi YanThis practically-oriented textbook introduces the fundamentals of designing digital surveillance systems powered by intelligent computing techniques. The text offers comprehensive coverage of each aspect of the system, from camera calibration and data capture, to the secure transmission of surveillance data, in addition to the detection and recognition of individual biometric features and objects. The coverage concludes with the development of a complete system for the automated observation of the full lifecycle of a surveillance event, enhanced by the use of artificial intelligence and supercomputing technology.This updated third edition presents an expanded focus on human behavior analysis and privacy preservation, as well as deep learning methods.Topics and features: contains review questions and exercises in every chapter, together with a glossary; describes the essentials of implementing an intelligent surveillance system and analyzing surveillance data, including a range of biometric characteristics; examines the importance of network security and digital forensics in the communication of surveillance data, as well as issues of issues of privacy and ethics; discusses the Viola-Jones object detection method, and the HOG algorithm for pedestrian and human behavior recognition; reviews the use of artificial intelligence for automated monitoring of surveillance events, and decision-making approaches to determine the need for human intervention; presents a case study on a system that triggers an alarm when a vehicle fails to stop at a red light, and identifies the vehicle’s license plate number; investigates the use of cutting-edge supercomputing technologies for digital surveillance, such as FPGA, GPU and parallel computing.This concise and accessible work serves as a classroom-tested textbook for graduate-level courses on intelligent surveillance. Researchers and engineers interested in entering this area will also find the book suitable as a helpful self-study reference.
Introduction to Interactive Digital Media: Concept and Practice
by Julia V. GriffeyThis book offers a clearly written and engaging introduction to the basics of interactive digital media. As our reliance on and daily usage of websites, mobile apps, kiosks, games, VR/AR and devices that respond to our commands has increased, the need for practitioners who understand these technologies is growing. Author Julia Griffey provides a valuable guide to the fundamentals of this field, offering best practices and common pitfalls throughout. The book also notes opportunities within the field of interactive digital media for professionals with different types of skills, and interviews with experienced practitioners offer practical wisdom for readers. Additional features of this book include: An overview of the history, evolution and impact of interactive media; A spotlight on the development process and contributing team members; Analysis of the components of interactive digital media and their design function (graphics, animation, audio, video, typography, color); An introduction to coding languages for interactive media; and A guide to usability in interactive media. Introduction to Interactive Digital Media will help both students and professionals understand the varied creative, technical, and collaborative skills needed in this exciting and emerging field.
Introduction to Internet of Things (River Publishers Series in Rapids in Computing and Information Science and Technology)
by Ahmed BanafaThis book introduces the Internet of Things (IoT), which is the convergence of connecting people, things, data and processes; it is transforming our life, business and everything in between. By 2025, experts forecast that up to 75 billion devices will be connected to the Internet with only one third of them being computers, smartphones, smartwatches, and tablets. The remaining two thirds will be other "devices" – sensors, terminals, household appliances, thermostats, televisions, automobiles, production machinery, urban infrastructure and many other "things", which traditionally have not been Internet enabled. This "Internet of Things" (IoT) represents a remarkable transformation of the way in which our world will soon interact. Much like the World Wide Web connected computers to networks, and the next evolution mobile devices connected people to the Internet and other people, IoT looks poised to interconnect devices, people, environments, virtual objects and machines in ways that only science fiction writers could have imagined.