Microstructures, electronics, nanotechnology - these vast fields of research are growing together as the size gap narrows and many different materials are combined. Current research, engineering sucesses and newly commercialized products hint at the immense innovative potentials and future applications that open up once mankind controls shape and function from the atomic level right up to the visible world without any gaps.
Continuing from the previous volume, authors from three major competence centres for microengineering here cover all aspects of specialized replication techniques and how to employ state-of-the-art technologies for testing and characterizing micro-scale components, and illustrate quality control aspects and strategies for automation of production procedures in view of future industrial production and commercialisation.

The audio amplifier is at the heart of audio design. Its performance determines largely the performance of any audio system. John Linsley Hood is widely regarded as the finest audio designer around, and pioneered design in the post-valve era. His mastery of audio technology extends from valves to the latest techniques. This is John Linsley Hood's greatest work yet, describing the milestones that have marked the development of audio amplifiers since the earliest days to the latest systems.

Including classic amps with valves at their heart and exciting new designs using the latest components, this book is the complete world guide to audio amp design.
John Linsley Hood is responsible for numerous amplifier designs that have led the way to better sound, and has also kept up a commentary on developments in audio in magazines such as The Gramophone, Electronics in Action and Electronics and Wireless World. He is also the author of The Art of Linear Electronics and Audio Electronics published by Newnes.

Complete world guide to audio amp design written by world famous author
Covers classic amps to new designs using latest components
includes the best of valves as well as best of transistors

The rapid growth of the data traffic demands new ways to achieve high-speed wireless links. The backbone networks, data centers, mission-critical applications, as well as end-users sitting in office or home, all require ultra-high throughput and ultra-low latency wireless links. Sophisticated technological advancement and huge bandwidth are required to reduce the latency. Terahertz band, in this regard, has a huge potential to provide these high-capacity links where a user can download the file in a few seconds. To realize the high-capacity wireless links for future applications, in this book, different aspects of the Terahertz band wireless communication network are presented. This book highlights the Terahertz channel characteristics and modeling, antenna design and beamforming, device characterization, applications, and protocols. It also provides state-of-the-art knowledge on different communication aspects of Terahertz communication and techniques to realize the true potential of the Terahertz band for wireless communication.

This book presents two nonlinear control strategies for complex dynamical networks. First, sliding-mode control is used, and then the inverse optimal control approach is employed. For both cases, model-based is considered in Chapter 3 and Chapter 5; then, Chapter 4 and Chapter 6 are based on determining a model for the unknow system using a recurrent neural network, using on-line extended Kalman filtering for learning. The book is organized in four sections. The first one covers mathematical preliminaries, with a brief review for complex networks, and the pinning methodology. Additionally, sliding-mode control and inverse optimal control are introduced. Neural network structures are also discussed along with a description of the high-order ones. The second section presents the analysis and simulation results for sliding-mode control for identical as well as non-identical nodes. The third section describes analysis and simulation results for inverse optimal control considering identical or non-identical nodes. Finally, the last section presents applications of these schemes, using gene regulatory networks and microgrids as examples.

1. This book will attempt to provide a wide range of research and development work under the umbrella of Intelligent Computing. Aim of this book is to motivate research and applications of advanced Intelligent Computing. This book will try to gather original contributions from prospective authors specially solicited on topics covered under broad areas such as Linguistic Computing, Statistical Computing, Data Computing and Ambient Applications. Some of the topics will cover industrial issues/applications and academic research into intelligent computing. 2. Deep Learning architectures are being increasingly used in day to day applications where traditional machine learning and deep learning algorithms were used. Their improved accuracy, effectiveness in handling large data as well as reduced redundancy have major impact on growing application in the relevant field creating a demand for such a book in the market 3. This is an edited book that covers a very wide are of AI applications, so it will be difficult to specify principle competitive books. This book could be unique in terms of the subject are that the book trying to cover

This book presents analysis and design for a class of stochastic systems with semi-Markovian jump parameters. It explores systematic analysis of semi-Markovian jump systems via sliding mode control strategy which makes up the shortages in the analysis and design of stochastic systems. This text provides a novel estimation method to deal with the stochastic stability of semi-Markovian jump systems along with design of novel integral sliding surface. Finally, Takagi-Sugeno fuzzy model approach is brought to deal with system nonlinearities and fuzzy sliding mode control laws are provided to ensure the stabilization purpose. Features: Presents systematic work on sliding mode control (SMC) of semi-Markvoain jump systems. Explores SMC methods, such as fuzzy SMC, adaptive SMC, with the presence of generally uncertain transition rates. Provides novel method in dealing with stochastic systems with unknown switching information. Proposes more general theories for semi-Markovian jump systems with generally uncertain transition rates. Discusses practical examples to verify the effectiveness of SMC theory in semi-Markovian jump systems. This book aims at graduate and postgraduate students and for researchers in all engineering disciplines, including mechanical engineering, electrical engineering and applied mathematics, control engineering, signal processing, process control, control theory and robotics.

Features Filled with instructive examples and exercises to help build understanding Suitable for researchers, professionals and students, both in mathematics and computer science Every chapter consists of exercises with solution provided online at www.Routledge.com/9780367720292

This book demonstrates how to use functions of a complex variable to solve engineering problems that obey the 2D Laplace equation (and in some cases the 2D Poisson equation). The book was written with the engineer/physicist in mind and the majority of the book focuses on electrostatics. A key benefit of the complex variable approach to electrostatics is the visualization of field lines through the use of field maps. With todays' powerful computers and mathematical software programs, field maps are easily generated once the complex potential has been determined. Additionally, problems that would have been considered out of scope previously are now easily solved with these mathematical software programs. For example, solutions requiring the use of non-elementary functions such as elliptic and hypergeometric functions would have been viewed as not practical in the past due to the tedious use of look up tables for evaluation. Now, elliptic and hypergeometric functions are built-in functions for most mathematical software programs making their evaluation as easy as a trigonometric function. Key highlights in the book include 2D electrostatics completely formulated in terms of complex variables More than 60 electrostatic field maps Comprehensive treatment for obtaining Green's functions with conformal mapping Fully worked Schwarz-Christoffel transformations to more than usual number of problems A full chapter devoted to solving practical problems at an advanced level Detailed solutions to all end of chapter problems available on book's website Although the text is primarily self-contained, the reader is assumed to have taken differential and integral calculus and introductory courses in complex variables and electromagnetics.

The book articulates a series of scientific and technological developments described in a didactic way. The book shows a broad view of system identification in several contexts: Current cases of study are in different control methods. Experimental results in different environments (availability of data and computer code to reproduce the experiments). Transdisciplinary approaches and discussions for each chapter. Innovation as part of the final cases of study: developments are already affecting the new big data of the digital age and the era of the advanced control.

Most organizations have been caught off-guard with the proliferation of smart devices. The IT organization was comfortable supporting the Blackberry due to its ease of implementation and maintenance. But the use of Android and iOS smart devices have created a maintenance nightmare not only for the IT organization but for the IT auditors as well. This book will serve as a guide to IT and Audit professionals on how to manage, secure and audit smart device. It provides guidance on the handling of corporate devices and the Bring Your Own Devices (BYOD) smart devices.

Machine Translation and Transliteration involving Related, Low-resource Languages discusses an important aspect of natural language processing that has received lesser attention: translation and transliteration involving related languages in a low-resource setting. This is a very relevant real-world scenario for people living in neighbouring states/provinces/countries who speak similar languages and need to communicate with each other, but training data to build supporting MT systems is limited. The book discusses different characteristics of related languages with rich examples and draws connections between two problems: translation for related languages and transliteration. It shows how linguistic similarities can be utilized to learn MT systems for related languages with limited data. It comprehensively discusses the use of subword-level models and multilinguality to utilize these linguistic similarities. The second part of the book explores methods for machine transliteration involving related languages based on multilingual and unsupervised approaches. Through extensive experiments over a wide variety of languages, the efficacy of these methods is established. Features Novel methods for machine translation and transliteration between related languages, supported with experiments on a wide variety of languages. An overview of past literature on machine translation for related languages. A case study about machine translation for related languages between 10 major languages from India, which is one of the most linguistically diverse country in the world. The book presents important concepts and methods for machine translation involving related languages. In general, it serves as a good reference to NLP for related languages. It is intended for students, researchers and professionals interested in Machine Translation, Translation Studies, Multilingual Computing Machine and Natural Language Processing. It can be used as reference reading for courses in NLP and machine translation. Anoop Kunchukuttan is a Senior Applied Researcher at Microsoft India. His research spans various areas on multilingual and low-resource NLP. Pushpak Bhattacharyya is a Professor at the Department of Computer Science, IIT Bombay. His research areas are Natural Language Processing, Machine Learning and AI (NLP-ML-AI). Prof. Bhattacharyya has published more than 350 research papers in various areas of NLP.

In this book, the stability analysis and estimator design problems are discussed for delayed discrete-time memristive neural networks. In each chapter, the analysis problems are firstly considered, where the stability, synchronization and other performances (e.g., robustness, disturbances attenuation level) are investigated within a unified theoretical framework. In this stage, some novel notions are put forward to reflect the engineering practice. Then, the estimator design issues are discussed where sufficient conditions are derived to ensure the existence of the desired estimators with guaranteed performances. Finally, the theories and techniques developed in previous parts are applied to deal with some issues in several emerging research areas. The book Unifies existing and emerging concepts concerning delayed discrete memristive neural networks with an emphasis on a variety of network-induced phenomena Captures recent advances of theories, techniques, and applications of delayed discrete memristive neural networks from a network-oriented perspective Provides a series of latest results in two popular yet interrelated areas, stability analysis and state estimation of neural networks Exploits a unified framework for analysis and synthesis by designing new tools and techniques in combination with conventional theories of systems science, control engineering and signal processing Gives simulation examples in each chapter to reflect the engineering practice

Future predictions are always a topic of interest. Precise estimates are crucial in many activities as forecasting errors can lead to big financial loss. The sequential analysis of data and information gathered from past to present is call time series analysis. This book covers the recent advancements in time series forecasting. The book includes theoretical as well as recent applications of time series analysis. It focuses on the recent techniques used, discusses a combination of methodology and applications, presents traditional and advanced tools, new applications, and identifies the gaps in knowledge in engineering applications. This book is aimed at scientists, researchers, postgraduate students and engineers in the areas of supply chain management, production, inventory planning, and statistical quality control.

Robotic Process Automation will continue its exponential growth over the next five years. With more than 54 vendors, different kinds of tools, generic applicability and as a cognitive and AI platform, RPA has fast become an opportunity that is too good to miss. So, how do you leverage the massive potential business value? Based on four years of research into over 420 business deployments, this book identifies the distinctive leading practices of front-runners, and a Total Value of Ownership (TVO) framework to drive out value across the RPA life-cycle. This book brings a new focus on RPA's strategic potential: the innovations made possible and how to deliver through effective sourcing stakeholder-buy-in, governance, change management, and capability development practices. RPA as a platform, linking with cognitive and AI technologies as part of digital transformation is highlighted. The central messages - think and behave strategically, start right, institutionalize fast, and innovate continuously - are demonstrated, with multiple client experiences, trials and lessons. From dealing with old world process and IT challenges, RPA is now being applied towards building the new digital world and becoming strategic in its application. * Based on extensive new research by world renowned authors * Comprehensive market overview * A systematic set of action principles across the RPA life-cycle * Challenges, and where value is being left on the table * A focus on metrics and Total Value of Ownership * Multiple client case studies * RPA as a foundation for cognitive and AI

This handy reference guide to modern '74'- series and '4000'- series digital ICs presents 620 useful and carefully selected circuits, diagrams, graphs and tables, supported by informative text and captions. Detailed descriptions of and practical applications information on more than 185 TTL and CMOS ICs are provided.

This wealth of information is clearly and logically arranged so that specific information can be quickly and easily located. Fifteen chapters cover from IC basics and TTL and CMOS principles, to the practical circuitry of logic ICs, waveform generators and multiplexers. While aimed at practical design engineers and technicians, this pocket book will also be of use to amateurs and students of electronics. The subject is dealt with in a readable and essentially non-mathematical manner, with the emphasis on practical 'user' information and circuitry.

This Don Lancaster classic is by far the best-selling active filter book of all time. It gives you everything you need to know to build active lowpass, bandpass, and highpass filters.

An active filter needs no inductors. Instead, op amps, resistors, and capacitors are used for better results. Advantages include lower cost, easy tuning, simple design, and modularity. Lancaster's Active Filter Cookbook includes practical elements such as working circuits, ready-to-use design tables, tuning, and real-world applications, making it easy to use and apply. You'll find both instant design and the mathematics behind coverage. Microcomputer pioneer Don Lancaster is the author of 34 books, 2 videos and countless articles and columns in technical magazines. He also heads Synergetics, an Arizona-based design and consulting firm.

This book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis. With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chapter on data analytics takes a deep dive into new ways to conduct subgroup analysis and how it's forcing healthcare executives to rethink the way they apply the results of large clinical trials to everyday medical practice. This re-evaluation is slowly affecting the way diabetes, heart disease, hypertension, and cancer are treated. The research discussed also suggests that data analytics will impact emergency medicine, medication management, and healthcare costs. An examination of the diagnostic reasoning process itself looks at how diagnostic errors are measured, what technological and cognitive errors are to blame, and what solutions are most likely to improve the process. It explores Type 1 and Type 2 reasoning methods; cognitive mistakes like availability bias, affective bias, and anchoring; and potential solutions such as the Human Diagnosis Project. Finally, the book explores the role of systems biology and precision medicine in clinical decision support and provides several case studies of how next generation AI is transforming patient care.

Owen Bishop's First Course starts with the basics of electricity and component types, introducing students to practical work almost straight away. No prior knowledge of electronics is required. The approach is student-centred with self-test features to check understanding, including numerous activities suitable for practicals, homework and other assignments. Multiple choice questions are incorporated throughout the text in order to aid student learning. Key facts, formulae and definitions are highlighted to aid revision, and theory is backed up by numerous examples within the book. Each chapter ends with a set of problems that includes exam-style questions, for which numerical answers are provided at the end of the book. This text is ideal for a wide range of introductory courses in electronics, technology, physics and engineering. The coverage has been carefully matched to the latest UK syllabuses including GCSE Electronics, GCSE Design & Technology, Engineering GCSE and Edexcel's BTEC First in Engineering, resulting in a text that meets the needs of students on all Level 2 electronics units and courses. Owen Bishop's talent for introducing the world of electronics has long been a proven fact with his textbooks, professional introductions and popular circuit construction guides being chosen by thousands of students, lecturers and electronics enthusiasts.

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Project risk management is regarded as a necessary dimension of effective project delivery. Current practices tend to focus on tangible issues such as late delivery of equipment or the implications of technology. This book introduces a framework to identify emergent behavior-centric intangible risks and the conditions that initiate them. Decision Making in Risk Management: Quantifying Intangible Risk Factors in Projects identifies the quantitative measures to assess behavior-induced risks by presenting a framework that limits the interpersonal tension of addressing behavioral risks. Included in the book is an illustrative case study from the oil and gas sector that demonstrates the use of the framework. The missing dimension of behavior-centric intangible risk factors in current risk identification is explored. The book goes on to cover management processes, providing a systematic analytical approach to mitigate subjectivity when addressing behavioral risks in projects. This book is useful to those working in the fields of Project Management, Systems Engineering, Risk Management, and Behavioral Science.

Functional Thin Films Technology features the functional aspects of thin films, such as their application in solar selective absorbers, fiber lasers, solid oxide fuel cells, piezo-related areas, catalysts, superhydrophobicity, semiconductors, and trace pesticides detection. It highlights developments and advances in the preparation, characterization, and applications of functional micro-/nano-scaled films and coatings. This book Presents technologies aimed at functionality used in nanoelectronics, solar selective absorbers, solid oxide fuel cells, piezo-applications, and sensors Covers absorbers, catalysts, anodic aluminum oxide, superhydrophobics, and semiconductor devices Features a chapter on transport phenomena associated to structures Discusses transport phenomena and material informatics This second volume in the two-volume set, Protective Thin Coatings and Functional Thin Films Technology, will benefit industry professionals and researchers working in areas related to semiconductors, optoelectronics, plasma technology, solid-state energy storages, and 5G, as well as advanced students studying electrical, mechanical, chemical, and materials engineering.

Hard or protective coatings are widely used in conventional and modern industries and will continue to play a key role in future manufacturing, especially in the micro and nano areas. Protective Thin Coatings Technology highlights the developments and advances in the preparation, characterization, and applications of protective micro-/nanoscaled films and coatings. This book Covers technologies for sputtering of flexible hard nanocoatings, deposition of solid lubricating films, and multilayer transition metal nitrides Describes integrated nanomechanical characterization of hard coatings, corrosion and tribo-corrosion of hard coatings, and high entropy alloy films and coatings Investigates thin films and coatings for high-temperature applications, nanocomposite coatings on magnesium alloys, and the correlation between coating properties and industrial applications Features various aspects of hard coatings, covering advanced sputtering technologies, structural characterizations, and simulations, as well as applications This first volume in the two-volume set, Protective Thin Coatings and Functional Thin Films Technology, will benefit industry professionals and researchers working in areas related to semiconductors, optoelectronics, plasma technology, solid-state energy storages, and 5G, as well as advanced students studying electrical, mechanical, chemical, and material engineering.

The resurgence of artificial intelligence has been fueled by the availability of the present generation of high-performance computational tools and techniques. This book is designed to provide introductory guidance to artificial intelligence, particularly from the perspective of digital systems engineering. Artificial Intelligence and Digital Systems Engineering provides a general introduction to the origin of AI and covers the wide application areas and software and hardware interfaces. It will prove to be instrumental in helping new users expand their knowledge horizon to the growing market of AI tools, as well as showing how AI is applicable to the development of games, simulation, and consumer products, particularly using artificial neural networks. This book is for the general reader, university students, and instructors of industrial, production, civil, mechanical, and manufacturing engineering. It will also be of interest to managers of technology, projects, business, plants, and operations.

Provides an up-to-date literature in the field of visible light communication (VLC). Presents MATLAB Codes and simulations to help readers in understanding simulations. Discusses applications of VLC in enabling vehicle to vehicle (V2V) communication. Covers topics including radio frequency (RF) based wireless communications and visible light communication (VLC). Presents modulation formats along with the derivations of probability of error expressions pertaining to different variants of optical OFDM.

This book comprises of chapters based on design of various advanced nano-catalysts and offers a development of novel solutions for a better sustainable energy future. The book includes all aspects of physical chemistry, chemical engineering and material science. The advances in nanoscience and nanotechnology help to find cost-effective and environmentally sound methods of converting naturally inspired resources into fuels, chemicals and energy. The book leads the scientific community to the most significant development in the focus research area. It provides a broad and in-depth coverage of design and development advanced nano-catalyst for various energy applications.