![]() |
Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
||
|
Books > Professional & Technical > Electronics & communications engineering > General
Battery technology is constantly changing, and the concepts and applications of these changes are rapidly becoming increasingly more important as more and more industries and individuals continue to make "greener" choices in their energy sources. As global dependence on fossil fuels slowly wanes, there is a heavier and heavier importance placed on cleaner power sources and methods for storing and transporting that power. Battery technology is a huge part of this global energy revolution. Zinc batteries are an advantageous choice over lithium-based batteries, which have dominated the market for years in multiple areas, most specifically in electric vehicles and other battery-powered devices. Zinc is the fourth most abundant metal in the world, which is influential in its lower cost, making it a very attractive material for use in batteries. Zinc-based batteries have been around since the 1930s, but only now are they taking center stage in the energy, automotive, and other industries. Zinc Batteries: Basics, Developments, and Applicationsis intended as a discussion of the different zinc batteries for energy storage applications. It also provides an in-depth description of various energy storage materials for Zinc (Zn) batteries. This book is an invaluable reference guide for electro-chemists, chemical engineers, students, faculty, and R&D professionals in energy storage science, material science, and renewable energy.
Covering the fruitful combination of nonlinear optics and ferroic materials! Nonlinear Optics on Ferroic Materials features three fields of physics: symmetry; magnetic or electric, long-range (ferroic) order; and nonlinear laser optics. The book begins by introducing the fundamentals of each of field. Next, it discusses how nonlinear optical studies help to reveal properties that are inaccessible with standard characterization techniques. A systematic discussion is also provided of the unique degrees of freedom of the nonlinear-optical probing of ferroics. The final section of the book explores material classes of primary interest in contemporary condensed-matter physics. This includes multiferroics with magnetoelectric correlations and oxide-electronic materials as well as the applications related to the optical properties of ferroic materials. The book concludes with a look toward future developments in using nonlinear optics to study ferroic materials. Reviews original methods and approaches to applications such as oxide-electronic devices, superconductors, and topological insulators Examines how nonlinear optics and ferroics complement each other for the elucidation of materials properties and the development of new devices Serves as a reference for experienced scientists and innovative researchers The use of nonlinear optics for the study of ferroic materials has seen rising interest in recent years, therefore Nonlinear Optics is a prime resource for researchers in this field today. Manfred Fiebig, PhD, is Professor of Multifunctional Ferroic Materials in the Department of Materials at ETH Zurich, Switzerland. He served as head, resp. deputy head of the Department from 2014-2018. His recent honors include election as APS Fellow, an ERC Advanced Investigator Grant and a three-year appointment as Guest Professor at the Japanese research institute RIKEN.
Machine learning --also known as data mining or predictive analytics-- is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in Analytic Solver Data Mining provides a comprehensive introduction and an overview of this methodology. The fourth edition of this best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation, time series forecasting and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This fourth edition of Machine Learning for Business Analytics also includes: An expanded chapter focused on discussion of deep learning techniques A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning A new chapter on responsible data science Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
Machine learning --also known as data mining or data analytics-- is a fundamental part of data science. It is used by organizations in a wide variety of arenas to turn raw data into actionable information. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques. This is the second R edition of Machine Learning for Business Analytics. This edition also includes: - A new co-author, Peter Gedeck, who brings over 20 years of experience in machine learning using R - An expanded chapter focused on discussion of deep learning techniques - A new chapter on experimental feedback techniques including A/B testing, uplift modeling, and reinforcement learning - A new chapter on responsible data science - Updates and new material based on feedback from instructors teaching MBA, Masters in Business Analytics and related programs, undergraduate, diploma and executive courses, and from their students - A full chapter devoted to relevant case studies with more than a dozen cases demonstrating applications for the machine learning techniques - End-of-chapter exercises that help readers gauge and expand their comprehension and competency of the material presented - A companion website with more than two dozen data sets, and instructor materials including exercise solutions, slides, and case solutions This textbook is an ideal resource for upper-level undergraduate and graduate level courses in data science, predictive analytics, and business analytics. It is also an excellent reference for analysts, researchers, and data science practitioners working with quantitative data in management, finance, marketing, operations management, information systems, computer science, and information technology.
EMI Troubleshooting Cookbook for Product Designers provides the 'recipe' for identifying why products fail to meet EMI/EMC regulatory standards. It also outlines techniques for tracking the noise source, and discovering the coupling mechanism, that is causing the undesired effects. This title gives examples of simple, easily implemented, and inexpensive troubleshooting tools that can be built by the engineer or technician, and uses methods that require only a basic understanding of electromagnetic theory and a minimal background in EMI/EMC. It will show the engineer and technician how to develop a process for troubleshooting using a straightforward approach in solving what may seem like a rather complicated problem at first. It will provide guidelines on how to approach an EMI failure, things to try, how to choose the right parts and balance cost, performance, and schedule. This book tells readers trying to solve EMI problems what to do and how to do it.
This book is the first of its kind to discuss error estimation with a model-based approach. From the basics of classifiers and error estimators to distributional and Bayesian theory, it covers important topics and essential issues pertaining to the scientific validity of pattern classification. Error Estimation for Pattern Recognition focuses on error estimation, which is a broad and poorly understood topic that reaches all research areas using pattern classification. It includes model-based approaches and discussions of newer error estimators such as bolstered and Bayesian estimators. This book was motivated by the application of pattern recognition to high-throughput data with limited replicates, which is a basic problem now appearing in many areas. The first two chapters cover basic issues in classification error estimation, such as definitions, test-set error estimation, and training-set error estimation. The remaining chapters in this book cover results on the performance and representation of training-set error estimators for various pattern classifiers. Additional features of the book include: - The latest results on the accuracy of error estimation - Performance analysis of re-substitution, cross-validation, and bootstrap error estimators using analytical and simulation approaches - Highly interactive computer-based exercises and end-of-chapter problems This is the first book exclusively about error estimation for pattern recognition. Ulisses M. Braga Neto is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, USA. He received his PhD in Electrical and Computer Engineering from The Johns Hopkins University. Dr. Braga Neto received an NSF CAREER Award for his work on error estimation for pattern recognition with applications in genomic signal processing. He is an IEEE Senior Member. Edward R. Dougherty is a Distinguished Professor, Robert F. Kennedy '26 Chair, and Scientific Director at the Center for Bioinformatics and Genomic Systems Engineering at Texas A&M University, USA. He is a fellow of both the IEEE and SPIE, and he has received the SPIE Presidents Award. Dr. Dougherty has authored several books including Epistemology of the Cell: A Systems Perspective on Biological Knowledge and Random Processes for Image and Signal Processing (Wiley-IEEE Press).
The ideal review for your digital signal processing course More than 40 million students have trusted Schaum's Outlines for their expert knowledge and helpful solved problems. Written by renowned experts in their respective fields, Schaum's Outlines cover everything from math to science, nursing to language. The main feature for all these books is the solved problems. Step-by-step, authors walk readers through coming up with solutions to exercises in their topic of choice. Outline format facilitates quick and easy review of course fundamentals Hundreds of examples illustrate applications and complex calculations More than 300 solved problems Exercises to help you test your mastery of digital signal processing Appropriate for the following courses: Signals and Systems; Digital Signal Processing; Digital Filters and Signal Processing; Discrete-Time and Continuous-Time Linear Systems Supports and supplements the bestselling textbooks in digital signal processing Easy-to-follow review of digital signal processing Solved problems demonstrate calculation techniques and applications Supports all the major textbooks for digital signal processing courses
This book is an essential resource for researchers involved in designing antennas and RCS calculations. It is also useful for students studying high frequency diffraction techniques. It contains basic original ideas of the Physical Theory of Diffraction (PTD), examples of its practical application, and its validation by the mathematical theory of diffraction. The derived analytic expressions are convenient for numerical calculations and clearly illustrate the physical structure of the scattered field. The text's key topics include: Theory of diffraction at black bodies introduces the Shadow Radiation, a fundamental component of the scattered field; RCS of finite bodies of revolution-cones, paraboloids, etc.; models of construction elements for aircraft and missiles; scheme for measurement of that part of a scattered field which is radiated by the diffraction (so-called nonuniform) currents induced on scattering objects; development of the parabolic equation method for investigation of edge-diffraction; and a new exact and asymptotic solutions in the strip diffraction problems, including scattering at an open resonator.
This book joins and integrates ceramics and ceramic-based materials in various sectors of technology. A major imperative is to extract scientific information on joining and integration response of real, as well as model, material systems currently in a developmental stage. This book envisions integration in its broadest sense as a fundamental enabling technology at multiple length scales that span the macro, millimeter, micrometer and nanometer ranges. Consequently, the book addresses integration issues in such diverse areas as space power and propulsion, thermoelectric power generation, solar energy, micro-electro-mechanical systems (MEMS), solid oxide fuel cells (SOFC), multi-chip modules, prosthetic devices, and implanted biosensors and stimulators. The engineering challenge of designing and manufacturing complex structural, functional, and smart components and devices for the above applications from smaller, geometrically simpler units requires innovative development of new integration technology and skillful adaptation of existing technology.
A bottom-up approach that enables readers to master and apply the latest techniques in state estimation This book offers the best mathematical approaches to estimating the state of a general system. The author presents state estimation theory clearly and rigorously, providing the right amount of advanced material, recent research results, and references to enable the reader to apply state estimation techniques confidently across a variety of fields in science and engineering. While there are other textbooks that treat state estimation, this one offers special features and a unique perspective and pedagogical approach that speed learning: Straightforward, bottom-up approach begins with basic concepts and then builds step by step to more advanced topics for a clear understanding of state estimation Simple examples and problems that require only paper and pen to solve lead to an intuitive understanding of how theory works in practice MATLAB(r)-based source code that corresponds to examples in the book, available on the author's Web site, enables readers to recreate results and experiment with other simulation setups and parameters Armed with a solid foundation in the basics, readers are presented with a careful treatment of advanced topics, including unscented filtering, high order nonlinear filtering, particle filtering, constrained state estimation, reduced order filtering, robust Kalman filtering, and mixed Kalman/H? filtering. Problems at the end of each chapter include both written exercises and computer exercises. Written exercises focus on improving the reader's understanding of theory and key concepts, whereas computer exercises help readers apply theory to problems similar to ones they are likely to encounter in industry. A solutions manual is available for instructors. With its expert blend of theory and practice, coupled with its presentation of recent research results, Optimal State Estimation is strongly recommended for undergraduate and graduate-level courses in optimal control and state estimation theory. It also serves as a reference for engineers and science professionals across a wide array of industries. A solutions manual is available upon request from the Wiley editorial board.
This book provides an introduction, discussion, and formal-based modelling of trust theory and its applications in agent-based systems This book gives an accessible explanation of the importance of trust in human interaction and, in general, in autonomous cognitive agents including autonomous technologies. The authors explain the concepts of trust, and describe a principled, general theory of trust grounded on cognitive, cultural, institutional, technical, and normative solutions. This provides a strong base for the author's discussion of role of trust in agent-based systems supporting human-computer interaction and distributed and virtual organizations or markets (multi-agent systems). "Key Features: "Provides an accessible introduction to trust, and its importance and applications in agent-based systems Proposes a principled, general theory of trust grounding on cognitive, cultural, institutional, technical, and normative solutions. Offers a clear, intuitive approach, and systematic integration of relevant issues Explains the dynamics of trust, and the relationship between trust and security Offers operational definitions and models directly applicable both in technical and experimental domains Includes a critical examination of trust models in economics, philosophy, psychology, sociology, and AI This book will be a valuable reference for researchers and advanced students focused on information and communication technologies (computer science, artificial intelligence, organizational sciences, and knowledge management etc.), as well as Web-site and robotics designers, and for scholars working on human, social, and cultural aspects of technology. Professionals of ecommerce systems and peer-to-peer systems will also find this text of interest.
Whether you are a network manager tasked with providing local wireless access to corporate business systems, or a home-based user, keen to optimize your data communications network, security will be the issue uppermost in your mind. Wireless LANs are becoming ubiquitous. From hotel lobbies to Starbucks coffee shops, from airports to offices, you can hardly avoid wireless LAN signals. Similarly widespread is the recognition that they are not secure. Create a communications network with the appropriate level of security for your needs! In Securing Wireless LANs Gil Held examines how wireless LANs operate, with special attention focused on the IEEE 802.11 standards. He clearly outlines the vulnerabilities in the standard and its extensions before going on to propose techniques and products you can use to overcome these limitations. Find out …
For the busy reader:
Screen shots illustrating tools and techniques and plentiful examples make this an accessible and thorough introduction to Wireless LAN security.
Provides a thorough overview of systematic methods for reducing risks encountered in diverse work places Filled with more theory, numerous case examples, and references to new material than the original text, this latest edition of a highly acclaimed book on occupational safety and health includes substantial updates and expanded material on management systems, risk assessment methods, and OSH-relevant concepts, principles, and models. Risk-Reduction Methods for Occupational Safety and Health is organized into five parts: background; analysis methods; programmatic methods for managing risk; risk reduction for energy sources; and risk reduction for other than energy sources. It comprehensively covers both system safety methods and OSH management methods applicable to occupational health and safety. Suitable for worldwide applications, the author's approach avoids reliance on the thousands of rules, codes, and standards by focusing on understanding hazards and reducing risks using strategies and tactics. Includes more content on methods for reducing risks, citations of recent research, and deeper coverage of OSH-relevant concepts, theories, and models Merges methods and principles traditionally associated with occupational hygiene, ergonomics, and safety Provides substantial updates on management systems and theories of occupational incidents, and includes new case studies in many chapters to help demonstrate the "real world" need for identifying and implementing risk-reduction strategies Addresses occupational risks that go beyond current regulations and standards, taking an international approach by stressing risk-reduction strategies Supports adoption of the book for university courses by providing chapter-specific learning exercises and support materials for professors Risk-Reduction Methods for Occupational Safety and Health is ideal for safety professionals, system safety engineers, safety engineers, industrial hygienists, ergonomists, and anyone with OSH responsibilities. It is also an excellent resource for students preparing for a career in OSH.
Ethernet Networks, Fourth Edition, provides everything you need to know to plan, implement, manage and upgrade Ethernet networks.
Electrical Engineering/Circuits and Systems Transmission Lines for
Digital and Communication Networks An IEEE Press Classic Reissue In
the recent past, knowledge of transmission line behavior was not
essential to understanding digital logic design. Slow signals,
relatively short wires, logic probes and the treatment of wave
forms as sequences of ones and zeros made it possible to design
logic without a solid understanding of fields. That has changed
dramatically. Today, with edge rates and gate delays moving into
the picosecond realm, innovative product designers must be able to
understand and model the essential distributed element nature of
electrical circuits. Those who don't will lag far behind the
competition. Keeping pace with these developments, IEEE Press is
pleased to bring back into print this definitive reference on
high-speed transmission line behavior. First written in 1969, this
book provides a level of detail on high-speed signaling problems
that remains unmatched to this day. Engineers who want to move
beyond the introductory level of field theory will find the
practical applications they need for solving difficult real-world
problems. In this Book You Will Find Thorough Coverage of:
Employed in a large number of commercial electromagnetic simulation
packages, the finite element method is one of the most popular and
well-established numerical techniques in engineering. This book
covers the theory, development, implementation, and application of
the finite element method and its hybrid versions to
electromagnetics. FINITE ELEMENT METHOD FOR ELECTROMAGNETICS begins
with a step-by-step textbook presentation of the finite method and
its variations then goes on to provide up-to-date coverage of three
dimensional formulations and modern applications to open and closed
domain problems. Worked out examples are included to aid the reader
with the fine features of the method and the implementation of its
hybridization with other techniques for a robust simulation of
large scale radiation and scattering. The crucial treatment of
local boundary conditions is carefully worked out in several stages
in the book.
Die Kommunikations- und Medienlandschaft steht vor einem Umbruch. Bisher getrennt angebotene Individual- und Massenmedien (Telefonie, Internet, TV) konnen nun uber dieselben Endgerate und Infrastrukturen gebundelt angeboten und vermarktet werden. Die ersten kommerziellen Triple-Play-Angebote befinden sich in Vorbereitung oder Markteinfuhrung. Der MUNCHNER KREIS prasentiert hier Trends, Voraussetzungen, Perspektiven und Rahmenbedingungen."
Comprehensively covers the basic principles and practice of Operational Modal Analysis (OMA). * Covers all important aspects that are needed to understand why OMA is a practical tool for modal testing * Covers advanced topics, including closely spaced modes, mode shape scaling, mode shape expansion and estimation of stress and strain in operational responses * Discusses practical applications of Operational Modal Analysis * Includes examples supported by MATLAB(R) applications * Accompanied by a website hosting a MATLAB(R) toolbox for Operational Modal Analysis
Single source reference enabling readers to understand and master state-of-the-art accelerator technology Superconducting Radiofrequency Technology for Accelerators provides a quick yet thorough overview of the key technologies for current and future accelerators, including those projected to enable breakthrough developments in neutrino research and quantum computing. The work is divided into three sections. The first part covers new techniques such as nitrogen doping, nitrogen infusion, oxide-free niobium, new surface treatments, and magnetic flux expulsion, complemented by discussions of the physics of the improvements stemming from diagnostic techniques and surface analysis as well as from theory. The second part reviews the on-going applications of RF superconductivity in already operational facilities and those under construction such as light sources, proton accelerators, neutron and neutrino sources, ion accelerators, and crab cavity facilities. The third part discusses planned accelerator projects such as the International Linear Collider, the Future Circular Collider, the Chinese Electron Positron Collider, and the Proton Improvement Plan-III facility at Fermilab. Written by the leading expert in the field of radiofrequency superconductivity, Superconducting Radiofrequency Technology for Accelerators covers other sample topics such as: Fabrication and processing on Nb-based SRF structures, covering cavity fabrication, preparation, and a decade of progress in the field SRF physics, covering zero DC resistance, the Meissner effect, surface resistance and surface impedance in RF fields, and non-local response of supercurrent N-doping and residual resistance, covering trapped DC flux losses, hydride losses, and tunneling measurements Theories for anti-Q-slope, covering the Xiao theory, the Gurevich theory, non-equilibrium superconductivity, and two fluid model based on weak defects Superconducting Radiofrequency Technology for Accelerators is an essential reference for high energy physicists, power engineers, and electrical engineers who want to understand the latest developments of accelerator technology and be able to harness it to further research interest and practical applications.
Hubert F. Hofmann reviews five RE processes that prescribe the timing and frequency of RE activities throughout the software process. He classifies prevalent RE methods and compiles best practices to help stakeholders identify when to use which RE methods.
Efficient Single Board Computers (SBCs) and advanced VLSI systems have resulted in edge analytics and faster decision making. The QoS parameters like energy, delay, reliability, security, and throughput should be improved on seeking better intelligent expert systems. The resource constraints in the Edge devices, challenges the researchers to meet the required QoS. Since these devices and components work in a remote unattended environment, an optimum methodology to improve its lifetime has become mandatory. Continuous monitoring of events is mandatory to avoid tragic situations; it can only be enabled by providing high QoS. The applications of IoT in digital twin development, health care, traffic analysis, home surveillance, intelligent agriculture monitoring, defense and all common day to day activities have resulted in pioneering embedded devices, which can offer high computational facility without much latency and delay. The book address industrial problems in designing expert system and IoT applications. It provides novel survey and case study report on recent industrial approach towards Smart City development.
A guide to the practical issues and applications in database programming with updated Visual Basic.NET SQL Server Database Programming with Visual Basic.NET offers a guide to the fundamental knowledge and practical techniques for the design and creation of professional database programs that can be used for real-world commercial and industrial applications. The author--a noted expert on the topic--uses the most current version of Visual Basic.NET, Visual Basic.NET 2017 with Visual Studio.NET 2017. In addition, he introduces the updated SQL Server database and Microsoft SQL Server 2017 Express. All sample program projects can be run in the most updated version, Visual Basic.NET 2019 with Visual Studio.NET 2019. Written in an accessible, down-to-earth style, the author explains how to build a sample database using the SQL Server management system and Microsoft SQL Server Management Studio 2018. The latest version of ASP.NET, ASP.NET 4.7, is also discussed to provide the most up-to-date Web database programming technologies. This important book: Offers illustrative practical examples and detailed descriptions to aid in comprehension of the material presented Includes both fundamental and advanced database programming techniques Integrates images into associated database tables using a DevExpress UI tools -WindowsUI Written for graduate and senior undergraduate students studying database implementations and programming courses, SQL Server Database Programming with Visual Basic.NET shows how to develop professional and practical database programs in Visual Basic.NET 2017/Visual Basic.NET 2019. |
You may like...
Design of Nanostructures for Versatile…
Alexandru Mihai Grumezescu
Paperback
Bionanocatalysis: From Design to…
Roberto Fernandez-Lafuente, Muhammad Bilal, …
Paperback
R5,561
Discovery Miles 55 610
|