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Books > Professional & Technical > Electronics & communications engineering > Electronics engineering
Revised to reflect technological advances and new applications, Practical Holography, Third Edition is a classic, comprehensive text suitable for anyone involved in holography, from the interested amateur to the practicing research scientist. At its most basic level, the book introduces the principles behind holography and takes the reader on a step-by-step course through the materials, equipment, and techniques required to produce their own holograms. The author takes a purely practical viewpoint, keeping the mathematical content to a minimum. Later chapters of the book form a valuable reference for research scientists working with holographic techniques in all applications.
Explores text mining and IoT applications for monitoring and controlling smart industrial systems Describes the key principles and techniques for Big-data analytics, security, and optimization for industrial applications. Provides context-aware insights, human-centric industry, smart computing for next-generation industry
Artificial Intelligence for Capital Market throws light on application of AI/ML techniques in the financial capital markets. This book discusses the challenges posed by the AI/ML techniques as these are prone to "black box" syndrome. The complexity of understanding the underlying dynamics for results generated by these methods is one of the major concerns which is highlighted in this book: Features: Showcases artificial intelligence in finance service industry Explains Credit and Risk Analysis Elaborates on cryptocurrencies and blockchain technology Focuses on optimal choice of asset pricing model Introduces Testing of market efficiency and Forecasting in Indian Stock Market This book serves as a reference book for Academicians, Industry Professional, Traders, Finance Mangers and Stock Brokers. It may also be used as textbook for graduate level courses in financial services and financial Analytics.
• Readers will gain an understanding of the optical technology, material science, and semiconductor device technology behind image acquisition devices • Research on image information is stable but slowly growing and several universities globally teach related courses for which this is valuable supplementary reading • This book offers a unique focus on the devices used in image sensors and displays
Thoroughly revised and updated, this highly successful textbook
guides students through the analysis and design of transistor
circuits. It covers a wide range of circuitry, both linear and
switching.
The significant objective of this edited book is to bridge the gap between smart manufacturing and big data by exploring the challenges and limitations. Companies employ big data technology in the manufacturing field to acquire data about the products. Manufacturing companies could gain a deep business insight by tracking customer details, monitoring fuel consumption, detecting product defects, and supply chain management. Moreover, the convergence of smart manufacturing and big data analytics currently suffers due to data privacy concern, short of qualified personnel, inadequate investment, long-term storage management of high-quality data. The technological advancement makes the data storage more accessible, cheaper and the convergence of these technologies seems to be more promising in the recent era. This book identified the innovative challenges in the industrial domains by integrating heterogeneous data sources such as structured data, semi-structures data, geo-spatial data, textual information, multimedia data, social networking data, etc. It promotes data-driven business modelling processes by adopting big data technologies in the manufacturing industry. Big data analytics is emerging as a promising discipline in the manufacturing industry to build the rigid industrial data platforms. Moreover, big data facilitates process automation in the complete lifecycle of product design and tracking. This book is an essential guide and reference since it synthesizes interdisciplinary theoretical concepts, definitions, and models, involved in smart manufacturing domain. It also provides real-world scenarios and applications, making it accessible to a wider interdisciplinary audience. Features The readers will get an overview about the smart manufacturing system which enables optimized manufacturing processes and benefits the users by increasing overall profit The researchers will get insight about how the big data technology leverages in finding new associations, factors and patterns through data stream observations in real time smart manufacturing systems The industrialist can get an overview about the detection of defects in design, rapid response to market, innovative products to meet the customer requirement which can benefit their per capita income in better way Discusses technical viewpoints, concepts, theories, and underlying assumptions that are used in smart manufacturing Information delivered in a user-friendly manner for students, researchers, industrial experts, and business innovators, as well as for professionals and practitioners
* It provides detailed multi-phase models of system components along with PSCAD implementation and analysis * It provides a comprehensive reference of transient cases in power systems along with protective solutions. * The cases are not limited to classical transients such as lightning strikes and switchings but rather the book discusses transient cases that power system operators and engineers had to deal with such as ferroresonance in details accompanied by computer simulations. * The book contains a chapter on original materials related to transformer windings with induced traveling waves. This concept has not been explored in any of the books published in the area of transients.
This book explores many essential topics in a basic and easy-to-understand manner. This book, and the accompanying Electronic Devices and Circuit Fundamentals, have been modified with significant updates in content. The books are developed using a classic textbook – Electricity and Electronics: A Survey (5th Edition) – as a framework. Both new books have been structured using a similar sequence and organization as previous editions. The previous edition of Electricity and Electronics: A Survey contained 18 chapters, 8 in the Electricity section and 10 in the Electronics section. This book has been expanded to include 19 chapters, further simplifying content, and providing a more comprehensive coverage of the content. The content has been continually updated and revised through new editions and by reviewers over the years. Additional quality checks to ensure technical accuracy, clarity and coverage of content have always been an area of focus. Each edition of the text has been improved through the following features: Improved and updated text content Improved usage of illustrations and photos Use of color to add emphasis and clarify content.
This book provides its readers with the means to implement energy-efficient video systems, by using different optimization approaches at multiple abstraction levels. The authors evaluate the complete video system with a motive to optimize its different software and hardware components in synergy, increase the throughput-per-watt, and address reliability issues. Subsequently, this book provides algorithmic and architectural enhancements, best practices and deployment models for new video systems, while considering new implementation paradigms of hardware accelerators, parallelism for heterogeneous multi- and many-core systems, and systems with long life-cycles. Particular emphasis is given to the current video encoding industry standard H.264/AVC, and one of the latest video encoders (High Efficiency Video Coding, HEVC).
Machine Learning: Concepts, Techniques and Applications starts at basic conceptual level of explaining machine learning and goes on to explain the basis of machine learning algorithms. The mathematical foundations required are outlined along with their associations to machine learning. The book then goes on to describe important machine learning algorithms along with appropriate use cases. This approach enables the readers to explore the applicability of each algorithm by understanding the differences between them. A comprehensive account of various aspects of ethical machine learning has been discussed. An outline of deep learning models is also included. The use cases, self-assessments, exercises, activities, numerical problems, and projects associated with each chapter aims to concretize the understanding. Features Concepts of Machine learning from basics to algorithms to implementation Comparison of Different Machine Learning Algorithms - When to use them & Why - for Application developers and Researchers Machine Learning from an Application Perspective - General & Machine learning for Healthcare, Education, Business, Engineering Applications Ethics of machine learning including Bias, Fairness, Trust, Responsibility Basics of Deep learning, important deep learning models and applications Plenty of objective questions, Use Cases, Activity and Project based Learning Exercises The book aims to make the thinking of applications and problems in terms of machine learning possible for graduate students, researchers and professionals so that they can formulate the problems, prepare data, decide features, select appropriate machine learning algorithms and do appropriate performance evaluation.
- The book discusses the recent techniques in NGS data analysis which is the most needed material by biologists (students and researchers) in the wake of numerous genomic projects and the trend toward genomic research. - The book includes both theory and practice for the NGS data analysis. So, readers will understand the concept and learn how to do the analysis using the most recent programs. - The steps of application workflows are written in a manner that can be followed for related projects. - Each chapter includes worked examples with real data available on the NCBI databases. Programming codes and outputs are accompanied with explanation. - The book content is suitable as teaching material for biology and bioinformatics students. Meets the requirements of a complete semester course on Sequencing Data Analysis Covers the latest applications for Next Generation Sequencing Covers data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics
This book is designed as a reference book and presents a systematic approach to analyze evolutionary and nature-inspired population-based search algorithms. Beginning with an introduction to optimization methods and algorithms and various enzymes, the book then moves on to provide a unified framework of process optimization for enzymes with various algorithms. The book presents current research on various applications of machine learning and discusses optimization techniques to solve real-life problems. The book compiles the different machine learning models for optimization of process parameters for production of industrially important enzymes. The production and optimization of various enzymes produced by different microorganisms are elaborated in the book It discusses the optimization methods that help minimize the error in developing patterns and classifications, which further helps improve prediction and decision-making Covers the best-performing methods and approaches for optimization sustainable enzymes production with AI integration in a real-time environment Featuring valuable insights, the book helps readers explore new avenues leading towards multidisciplinary research discussions The book is aimed primarily at advanced undergraduates and graduates studying machine learning, data science and industrial biotechnology. Researchers and professionals will also find this book useful.
Sliding Mode Control of Switching Power Converters: Techniques and Implementation is perhaps the first in-depth account of how sliding mode controllers can be practically engineered to optimize control of power converters. A complete understanding of this process is timely and necessary, as the electronics industry moves toward the use of renewable energy sources and widely varying loads that can be adequately supported only by power converters using nonlinear controllers. Of the various advanced control methods used to handle the complex requirements of power conversion systems, sliding mode control (SMC) has been most widely investigated and proved to be a more feasible alternative than fuzzy and adaptive control for existing and future power converters. Bridging the gap between power electronics and control theory, this book employs a top-down instructional approach to discuss traditional and modern SMC techniques. Covering everything from equations to analog implantation, it: Provides a comprehensive general overview of SMC principles and methods Offers advanced readers a systematic exposition of the mathematical machineries and design principles relevant to construction of SMC, then introduces newer approaches Demonstrates the practical implementation and supporting design rules of SMC, based on analog circuits Promotes an appreciation of general nonlinear control by presenting it from a practical perspective and using familiar engineering terminology With specialized coverage of modeling and implementation that is useful to students and professionals in electrical and electronic engineering, this book clarifies SMC principles and their application to power converters. Making the material equally accessible to all readers, whether their background is in analog circuit design, power electronics, or control engineering, the authors-experienced researchers in their own right-elegantly and practically relate theory, application, and mathematical concepts and models to corresponding industrial targets.
Advances in Measurement Technology, Disaster Prevention and Mitigation collects papers resulting from the conference on Measurement Technology, Disaster Prevention and Mitigation (MTDPM 2022), Zhengzhou, China, 27-29 May, 2022. The primary goal is to promote research and developmental activities in measurement, disaster prevention and mitigation, and another goal is to promote scientific information interchange between scholars from the top universities, business associations, research centers and high-tech enterprises working all around the world. The conference conducts in-depth exchanges and discussions on relevant topics such as measurement, disaster prevention and mitigation, aiming to provide an academic and technical communication platform for scholars and engineers engaged in scientific research and engineering practice in the field of measurement application, measurement in civil engineering and disaster reduction. By sharing the research status of scientific research achievements and cutting-edge technologies, it helps scholars and engineers all over the world comprehend the academic development trend and broaden research ideas. So as to strengthen international academic research, academic topics exchange and discussion, and promote the industrialization cooperation of academic achievements.
This book introduces readers from diverse backgrounds to the principles underlying nanotechnology, from devices to systems, while also describing in detail how businesses can use nanotechnology to redesign their products and processes, in order to have a clear edge over their competition. The authors include 75 case studies, describing in a highly-accessible manner, real nanotechnology innovations from 15 different industrial sectors. For each case study, the technology or business challenges faced by the company are highlighted, the type of nanotechnology adopted is defined, and the eventual economic and social impact is described. Introduces fundamentals of nanotechnology and its applications in a highly-accessible manner Includes 75 case studies of commercializing nanotechnology from 15 industrial sectors, including Automotive, Consumer Electronics, and Renewable Energy Enables nanotechnology experts to learn simple and important business concepts to facilitate the transfer of science to the market Introduces business owners to various means to resolve industrial challenges using nanotechnologies
Bioimaging is a sophisticated non-invasive and non-destructive technique for direct visualization of biological processes. Highly luminescent quantum dots combined with magnetic nanoparticles or ions form an exciting class of new materials for bioimaging. These materials can be prepared in cost-effective ways and show unique optical behaviours. Magnetic Quantum Dots for Bioimaging explores leading research in the fabrication, characterization, properties, and application of magnetic quantum dots in bioimaging. * Covers synthesis, properties, and bioimaging techniques. * Discusses modern manufacturing technologies and purification of magnetic quantum dots. * Explores thoroughly the properties and extent of magnetization to various imaging techniques. * Describes the biocompatibility, suitability, and toxic effects of magnetic quantum dots. * Reviews recent innovations, applications, opportunities, and future directions in magnetic quantum dots and their surface decorated nanomaterials. This comprehensive reference offers a roadmap of the use of these innovative materials for researchers, academics, technologists, and advanced students working in materials engineering and sensor technology.
1. Understand the audit culture, challenges, and benefits of the CAE role in digitally transforming business environment in smart cities 2. Identify ways to advance the value of Internal Audit in digital era 3. Use and control the resources of the city efficiently, and to ensure that the system units work properly in an integrated way.
Features Focus on the foundational theory underpinning Reinforcement Learning Suitable as a primary text for courses in Reinforcement Learning, but also as supplementary reading for applied/financial mathematics, programming, and other related courses Suitable for a professional audience of quantitative analysts or industry specialists Blends theory/mathematics, programming/algorithms and real-world financial nuances while always striving to maintain simplicity and to build intuitive understanding.
Technological developments in recent years have been tremendous. This evolution is visible in companies through technological equipment, computerized procedures, and management practices associated with technologies. One of the management practices that is visible is related to business intelligence and analytics (BI&A). Concepts such as data warehousing, key performance indicators (KPIs), data mining, and dashboards are changing the business arena. This book aims to promote research related to these new trends that open up a new field of research in the small and medium enterprises (SMEs) area. Features Focuses on the more recent research findings occurring in the fields of BI&A Conveys how companies in the developed world are facing today's technological challenges Shares knowledge and insights on an international scale Provides different options and strategies to manage competitive organizations Addresses several dimensions of BI&A in favor of SMEs
Blockchain for IoT provides the basic concepts of Blockchain technology and its applications to varied domains catering to socio-technical fields. It also introduces intelligent Blockchain platforms by way of infusing elements of computational intelligence into Blockchain technology. With the help of an interdisciplinary approach, it includes insights into real-life IoT applications to enable the readers to assimilate the concepts with ease. This book provides a balanced approach between theoretical understanding and practical applications. Features: A self-contained approach to integrating the principles of Blockchain with elements of computational intelligence A rich and novel foundation of Blockchain technology with reference to the internet of things conjoined with the tenets of artificial intelligence in yielding intelligent Blockchain platforms Elucidates essential background, concepts, definitions, and theories thereby putting forward a complete treatment on the subject Information presented in an accessible way for research students of computer science and information technology, as well as software professionals who can inherit the much-needed developmental ideas to boost up their computing knowledge on distributed platforms This book is aimed primarily at undergraduates, postgraduates, and researchers studying Blockchain.
This handbook on power systems consists of a set of 4 volumes. These books are carefully planned and designed to provide the state of art material on major aspects of electrical power systems, short-circuit currents, load flow, harmonics and protective relaying. Many aspects of power systems are transparent between different types of studies and analyses; knowledge of short-circuit currents and symmetrical component is required for protective relaying, and fundamental frequency load flow is required for harmonic analysis. Currently, power systems, large or small, are analyzed on digital computers with appropriate software. However, it is necessary to understand the theory and basis of these calculations to debug and decipher the results. The material is organized with sound theoretical base, practical applications, and case studies based on the author's 45+ years of experience with real world problems.
Readers can install Quantum ESPRESSO on Windows 10, macOS, and Linux operating systems. Readers can download all input files of the book and learn each subject without making input files by themselves. Readers can learn the Wannier90 package for obtaining tight-binding parameters for theoretical modeling. Minimum information of density-functional theory and solid-state physics is included. All software except for the operating system is open software that readers can download without any cost.
Do you dream of wiring up a flashing LED, experimenting with infrared detectors, or building a walking-talking robot from scratch? Do you want to understand what capacitors, oscilloscopes and transistors actually do? Then look no further! Electronics For Dummies, UK Editioncovers everything from understanding the technology behind day-to-day gadgets, to reading a schematic, getting to grips with multimeters, and devising projects that are both useful and fun. With UK-specific information on where to purchase components for your workbench and the most useful websites and resources, this essential guide will get you up, running, and switched on in no time. Electronics For Dummies, UK Edition includes: Part I: Understanding The Fundamentals of Electronics * Chapter 1: What is Electronics and What Can It Do For You? * Chapter 2: Moving Electrons to Make Something Happen * Chapter 3: Meeting Up with Resistance * Chapter 4: Getting a Charge Out of Capacitors * Chapter 5: Curling Up With Coils and Crystals * Chapter 6: The Wide World of Semiconductors * Chapter 7: Packing Parts Together on Integrated Circuits * Chapter 8: Rounding Out Your Parts List Part II: Getting Your Hands Dirty * Chapter 9: Setting Up Shop and Ensuring Your Safety * Chapter 10: Reading Schematics * Chapter 11: Constructing Circuits * Chapter 12: Measuring and Analysing Circuits Part III: Putting Theory Into Practice * Chapter 13: Exploring Some Learning Circuits * Chapter 14: Great Projects You Can Build in 30 Minutes or Less * Chapter 15: Cool Robot Projects to Amaze Your Friends and Family Part IV: The Part of Tens * Chapter 16: Ten (Or So) Terrific Tips to Help You Succeed * Chapter 17: Ten Great Electronics Parts Sources * Chapter 18: Ten Electronics Formulas You Should Know Appendix: Internet Resources * Getting Up to Speed with Tutorials and General Information * Figuring Things Out with Calculators * Surfing for Circuits * Asking Questions in Discussion Forums * Getting Things Surplus
This work was compiled with expanded and reviewed contributions from the 7th ECCOMAS Thematic Conference on Smart Structures and Materials, that was held from 3 to 6 June 2015 at Ponta Delgada, Azores, Portugal. The Conference provided a comprehensive forum for discussing the current state of the art in the field as well as generating inspiration for future ideas specifically on a multidisciplinary level. The scope of the Conference included topics related to the following areas: Fundamentals of smart materials and structures; Modeling/formulation and characterization of smart actuators, sensors and smart material systems; Trends and developments in diverse areas such as material science including composite materials, intelligent hydrogels, interfacial phenomena, phase boundaries and boundary layers of phase boundaries, control, micro- and nano-systems, electronics, etc. to be considered for smart systems; Comparative evaluation of different smart actuators and sensors; Analysis of structural concepts and designs in terms of their adaptability to smart technologies; Design and development of smart structures and systems; Biomimetic phenomena and their inspiration in engineering; Fabrication and testing of smart structures and systems; Applications of smart materials, structures and related technology; Smart robots; Morphing wings and smart aircrafts; Artificial muscles and biomedical applications; Smart structures in mechatronics; and Energy harvesting.
How do preprocessing steps such as tokenization, stemming, and removing stop words affect predictive models? Build beginning-to-end workflows for predictive modeling using text as features Compare traditional machine learning methods and deep learning methods for text data |
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