This book equips students with a thorough understanding of various types of sensors and biosensors that can be used for chemical, biological, and biomedical applications, including but not limited to temperature sensors, strain sensor, light sensors, spectrophotometric sensors, pulse oximeter, optical fiber probes, fluorescence sensors, pH sensor, ion-selective electrodes, piezoelectric sensors, glucose sensors, DNA and immunosensors, lab-on-a-chip biosensors, paper-based lab-on-a-chip biosensors, and microcontroller-based sensors. The author treats the study of biosensors with an applications-based approach, including over 15 extensive, hands-on labs given at the end of each chapter. The material is presented using a building-block approach, beginning with the fundamentals of sensor design and temperature sensors, and ending with more complicated biosensors.New to this second edition are sections on op-amp filters, pulse oximetry, meat quality monitoring, advanced fluorescent dyes, autofluorescence, various fluorescence detection methods, fluoride ion-selective electrode, advanced glucose sensing methods including continuous glucose monitoring, paper-based lab-on-a-chip, etc. A new chapter on nano-biosensors and an appendix on microcontrollers make this textbook ideal for undergraduate engineering students studying biosensors. It can also serve as a hands-on guide for scientists and engineers working in the sensor or biosensor industries.

This book provides a sound introduction to basic electronic concepts in a lively and practical format. It effectively meets the needs of both the electronics option of the advanced GNVQ in engineering and the BTEC National certificate in electronics and includes hands-on practical investigations and self-test questions which will appeal to a wide range of readers. Applied Electronics employs user-friendly text and a non-mathematical approach to develop the reader's ability and understanding of the principles of analogue and digital electronics. Beginning with the semiconductor devices themselves, it progresses through amplifiers and power supplies to combinational and sequential logic.

This book introduces new compilation techniques, using the polyhedron model for the resource-adaptive parallel execution of loop programs on massively parallel processor arrays. The authors show how to compute optimal symbolic assignments and parallel schedules of loop iterations at compile time, for cases where the number of available cores becomes known only at runtime. The compile/runtime symbolic parallelization approach the authors describe reduces significantly the runtime overhead, compared to dynamic or just-in-time compilation. The new, on-demand fault-tolerant loop processing approach described in this book protects loop nests for parallel execution against soft errors.

Designing reliable and dependable embedded systems has become increasingly important as the failure of these systems in an automotive, aerospace or nuclear application can have serious consequences. Design and Test Technology for Dependable Systems-on-Chip covers aspects of system design and efficient modelling, and also introduces various fault models and fault mechanisms associated with digital circuits integrated into System on Chip (SoC), Multi-Processor System-on Chip (MPSoC) or Network on Chip (NoC). This book provides insight into refined classical design and test topics and solutions for IC test technology and fault-tolerant systems.

This book serves as a single-source reference to key machine learning (ML) applications and methods in digital and analog design and verification. Experts from academia and industry cover a wide range of the latest research on ML applications in electronic design automation (EDA), including analysis and optimization of digital design, analysis and optimization of analog design, as well as functional verification, FPGA and system level designs, design for manufacturing (DFM), and design space exploration. The authors also cover key ML methods such as classical ML, deep learning models such as convolutional neural networks (CNNs), graph neural networks (GNNs), generative adversarial networks (GANs) and optimization methods such as reinforcement learning (RL) and Bayesian optimization (BO). All of these topics are valuable to chip designers and EDA developers and researchers working in digital and analog designs and verification.

The electromechanical systems employed in different branches of industry are utilized most often as drives of working machines which must be fed with electric energy in a continuous, periodic or even discrete way. Some of these machines operate at constant speed, others require wide and varying energy control. In many designs the synchronous cooperation of several electric drives is required in addition to the desired dynamic properties. For these reasons the control of the cooperation and dynamics of electromechanical systems requires the use of computers.
This book adopts an unusual approach to the subject in that it treats the electric drive system on the one hand as an element of a control system and on the other as an element of a complex automatic system. These two trends in the development of the automatic control of electric drives have resulted in a volume that provides a thorough overview on the variety of different approaches to the design of control systems.

This text contributes to the field of sequential optimization for finite-state machines, introducing several new provably-optimal algorithms, presenting practical software implementations of each of these algorithms and introducing a complete new CAD package, called MINIMALIST. Real-world industrial designs are used as benchmark circuits throughout.

The third edition of Digital Logic Techniques provides a clear and comprehensive treatment of the representation of data, operations on data, combinational logic design, sequential logic, computer architecture, and practical digital circuits. A wealth of exercises and worked examples in each chapter give students valuable experience in applying the concepts and techniques discussed. Beginning with an objective comparison between analogue and digital representation of data, the author presents the Boolean algebra framework for digital electronics, develops combinational logic design from first principles, and presents cellular logic as an alternative structure more relevant than canonical forms to VLSI implementation. He then addresses sequential logic design and develops a strategy for designing finite state machines, giving students a solid foundation for more advanced studies in automata theory. The second half of the book focuses on the digital system as an entity. Here the author examines the implementation of logic systems in programmable hardware, outlines the specification of a system, explores arithmetic processors, and elucidates fault diagnosis. The final chapter examines the electrical properties of logic components, compares the different logic families, and highlights the problems that can arise in constructing practical hardware systems.

Describes the basic theory of carrier transport, develops numerical algorithms in FORTRAN used for transport problems or device simulations, and presents real-world examples.

This book presents a detailed summary of research on automatic layout of device-level analog circuits that was undertaken in the late 1980s and early 1990s at Carnegie Mellon University. We focus on the work behind the creation of the tools called KOAN and ANAGRAM II, which form part of the core of the CMU ACACIA analog CAD system. KOAN is a device placer for custom analog cells; ANANGRAM II a detailed area router for these analog cells. We strive to present the motivations behind the architecture of these tools, including detailed discussion of the subtle technology and circuit concerns that must be addressed in any successful analog or mixed-signal layout tool. Our approach in organizing the chapters of the book has been to present our algo rithms as a series of responses to these very real and very difficult analog layout problems. Finally, we present numerous examples of results generated by our algorithms. This research was supported in part by the Semiconductor Research Corpora tion, by the National Science Foundation, by Harris Semiconductor, and by the International Business Machines Corporation Resident Study Program. Finally, just for the record: John Cohn was the designer of the KOAN placer; David Garrod was the designer of the ANAGRAM II router (and its predeces sor, ANAGRAM I). This book was architected by all four authors, edited by John Cohn and Rob Rutenbar, and produced in finished form by John Cohn."

This book serves as a single-source reference to sinusoidal oscillators and waveform generators, using classical as well as a variety of modern electronic circuit building blocks. It provides a state-of-the-art review of a large variety of sinusoidal oscillators and waveform generators and includes a catalogue of over 600 configurations of oscillators and waveform generators, describing their relevant design details and salient performance features/limitations. The authors discuss a number of interesting, open research problems and include a comprehensive collection of over 1500 references on oscillators and non-sinusoidal waveform generators/relaxation oscillators. Offers readers a single-source reference to everything connected to sinusoidal oscillators and waveform generators, using classical as well as modern electronic circuit building blocks; Provides a state-of-the-art review of a large variety of sinusoidal oscillators and waveform generators; Includes a catalog of over 600 configurations of oscillators and waveform generators, with their relevant design details and their salient performance features/limitations.

Over 100 scientists met at the IBM Research Laboratory in San Jose. California for a symposium on the Physics and Chemistry of Liquid Crystal Devices. The two-day meeting was intellectually stimulating with excellent oral presentations and with person-to-person discussions. The applications of liquid crystals have developed dramatically in the past ten years. In these few years, they have moved from being a laboratory curiosity to products in the market place. The first commercial application (1940's) of liquid crystals was the preparation of a light polarizer. The second commercial application was their use as temperature sensors. The third major application of liquid crystals dealt with commercial displays. Other current applications include polymeric and graphitic fibers and light attenuators. The future of liquid crystals looks very promising indeed. One can expect to see new fibers of qualities which will be superior to those presently known. Graphitic fibers or other physical forms of graphitic materials will be used as catalytic surfaces for chemical synthesis. In the display area. one can expect to see television screens using liquid crystals. Larger displays than are now used in wrist watches and pocket calculators will become available. Liquid crystals using color displays will become commercially practical. Watches. calculators and television screens will have color.

This book gathers selected research papers presented at the International Conference on Power, Control and Communication Infrastructure 2019 (ICPCCI 2019), organized by the Institute of Infrastructure, Technology, Research and Management (IITRAM), Ahmedabad, Gujarat, India, on July 4-5, 2019. It highlights the latest advances, trends and challenges in electrical power generation-integration-transmission-distribution-conversion-storage-control, electrical machines, power quality, energy management, electrical infrastructure of future grids-buildings-cities-transportation, energy conversion, plasma technology, renewable energy & grid integration, energy storage systems, power electronic converters, power system protection & security, FACTS and HVDC, power quality, power system operation & control, computer applications in power systems, energy management, energy policies & regulation, power & energy education, restructured power system, future grids, buildings, cities & resiliency, microgrids, electrical machines & drives, transportation electrification, optimal operation, electricity-gas-water coordination, condition monitoring & predictive maintenance of electric equipment, and asset management. The solutions discussed here will encourage and inspire researchers, industry professionals and policymakers to put these methods into practice.

This book attempts to eliminate the existing "imbalance" between the theory of electric machines and the theory of electromagnetic fields. In order to develop viable methods for engineering calculations, the author applies field equations. The resulting, new methods consist of traditional calculation elements represented in a refined form (circuit-loops, parameters, equivalent circuits and voltage equations). These calculation methods should be effective both for researchers and engineering practitioners, especially, in relation to the modern electric machines, such as powerful turbine generators, large high-speed synchronous motors, etc.

This book is intended to give a general overview of reliability, faults, fault models, nanotechnology, nanodevices, fault-tolerant architectures and reliability evaluation techniques. Additionally, the book provides an in depth state-of-the-art research results and methods for fault tolerance as well as the methodology for designing fault-tolerant systems out of highly unreliable components.

The task of the system architect is to take the correct early decisions despite the uncertainties.

Power-Aware Architecting provides a systematic way to support the system architect in this job. Therefore, an iterative system-level design approach is defined where iterations are based on fast and accurate estimations or predictions of area, performance and energy consumption. This method is illustrated with a concrete real life example of multi-carrier communication. This book is the result of a Ph.D. thesis, which is part of the UbiCom project at Delft University of Technology. I strongly recommend it to any engineer, expert or specialist, who is interested in designing embedded systems-on-a-chip.

Jef van Meerbergen
Professor Eindhoven University of Technology
Fellow Philips Research Eindhoven

Several diverse but related topics concerned with semiconductor growth are brought together here, for the first time in a single text. Those studying semiconductor growth from any perspective will find this book invaluable and it will be essential reading for all in the semiconductor industry, whether in applications or in manufacturing.

This is a textbook for upper undergraduate and graduate courses on microwave engineering, written in a student-friendly manner with many diagrams and illustrations. It works towards developing a foundation for further study and research in the field. The book begins with a brief history of microwaves and introduction to core concepts of EM waves and wave guides. It covers equipment and concepts involved in the study and measurement of microwaves. The book also discuses microwave propagation in space, microwave antennae, and all aspects of RADAR. The book provides core pedagogy with chapter objectives, summaries, solved examples, and end-of-chapter exercises. The book also includes a bonus chapter which serves as a lab manual with 15 simple experiments detailed with proper circuits, precautions, sample readings, and quiz/viva questions for each experiment. This book will be useful to instructors and students alike.

Computer Methods for Analysis of Mixed-Mode Switching Circuits provides an in-depth treatment of the principles and implementation details of computer methods and numerical algorithms for analysis of mixed-mode switching circuits. Major topics include:
-Computer-oriented formulation of mixed-mode switching circuits,
-Network functions of linear and nonlinear time-varying systems,
-Numerical Laplace inversion based integration algorithms and inconsistent initial conditions,
-Time domain analysis of periodically switched linear and nonlinear circuits including response, sensitivity, noise, clock jitter, and statistical quantities,
-Time domain analysis of circuits with internally controlled switches and over-sampled sigma-delta modulators,
-Tellegen's theorem, frequency reversal theorem, and transfer function theorem of periodically switched linear circuits and their applications,
-Frequency domain analysis of periodically switched linear and nonlinear circuits including response, sensitivity, group delay, noise, and statistical quantities.

Examines all important aspects of integrated circuit design, fabrication, assembly and test processes as they relate to quality and reliability. This second edition discusses in detail: the latest circuit design technology trends; the sources of error in wafer fabrication and assembly; avenues of contamination; new IC packaging methods; new in-line process monitors and test structures; and more.;This work should be useful to electrical and electronics, quality and reliability, and industrial engineers; computer scientists; integrated circuit manufacturers; and upper-level undergraduate, graduate and continuing-education students in these disciplines.

This book provides a comprehensive set of characterization, prediction, optimization, evaluation, and evolution techniques for a diagnosis system for fault isolation in large electronic systems. Readers with a background in electronics design or system engineering can use this book as a reference to derive insightful knowledge from data analysis and use this knowledge as guidance for designing reasoning-based diagnosis systems. Moreover, readers with a background in statistics or data analytics can use this book as a practical case study for adapting data mining and machine learning techniques to electronic system design and diagnosis. This book identifies the key challenges in reasoning-based, board-level diagnosis system design and presents the solutions and corresponding results that have emerged from leading-edge research in this domain. It covers topics ranging from highly accurate fault isolation, adaptive fault isolation, diagnosis-system robustness assessment, to system performance analysis and evaluation, knowledge discovery and knowledge transfer. With its emphasis on the above topics, the book provides an in-depth and broad view of reasoning-based fault diagnosis system design. * Explains and applies optimized techniques from the machine-learning domain to solve the fault diagnosis problem in the realm of electronic system design and manufacturing;* Demonstrates techniques based on industrial data and feedback from an actual manufacturing line;* Discusses practical problems, including diagnosis accuracy, diagnosis time cost, evaluation of diagnosis system, handling of missing syndromes in diagnosis, and need for fast diagnosis-system development.

Coding Approaches to Fault Tolerance in Combinational and Dynamic Systems describes coding approaches for designing fault-tolerant systems, i.e., systems that exhibit structured redundancy that enables them to distinguish between correct and incorrect results or between valid and invalid states. Since redundancy is expensive and counter-intuitive to the traditional notion of system design, the book focuses on resource-efficient methodologies that avoid excessive use of redundancy by exploiting the algorithmic/dynamic structure of a particular combinational or dynamic system. The first part of Coding Approaches to Fault Tolerance in Combinational and Dynamic Systems focuses on fault-tolerant combinational systems providing a review of von Neumann's classical work on Probabilistic Logics (including some more recent work on noisy gates) and describing the use of arithmetic coding and algorithm-based fault-tolerant schemes in algebraic settings. The second part of the book focuses on fault tolerance in dynamic systems. Coding Approaches to Fault Tolerance in Combinational and Dynamic Systems also discusses how, in a dynamic system setting, one can relax the traditional assumption that the error-correcting mechanism is fault-free by using distributed error correcting mechanisms. The final chapter presents a methodology for fault diagnosis in discrete event systems that are described by Petri net models; coding techniques are used to quickly detect and identify failures. From the Foreword "Hadjicostis has significantly expanded the setting to processes occurring in more general algebraic and dynamic systems... The book responds to the growing need to handle faults in complex digital chips and complex networked systems, and to consider the effects of faults at the design stage rather than afterwards." George Verghese, Massachusetts Institute of Technology Coding Approaches to Fault Tolerance in Combinational and Dynamic Systems will be of interest to both researchers and practitioners in the area of fault tolerance, systems design and control.

The primary objective of this NATO Advanced Study Institute (ASI) was to present an up-to-date overview of various current areas of interest in the field of photovoltaic and related photoactive materials. This is a wide-ranging subject area, of significant commercial and environmental interest, and involves major contributions from the disciplines of physics, chemistry, materials, electrical and instrumentation engineering, commercial realisation etc. Therefore, we sought to adopt an inter disciplinary approach, bringing together recognised experts in the various fields while retaining a level of treatment accessible to those active in specific individual areas of research and development. The lecture programme commenced with overviews of the present relevance and historical development of the subject area, plus an introduction to various underlying physical principles of importance to the materials and devices to be addressed in later lectures. Building upon this, the ASI then progressed to more detailed aspects of the subject area. We were also fortunately able to obtain a contribution from Thierry Langlois d'Estaintot of the European Commission Directorate, describing present and future EC support for activities in this field. In addition, poster sessions were held throughout the meeting, to allow participants to present and discuss their current activities. These were supported by what proved to be very effective feedback sessions (special thanks to Martin Stutzmann), prior to which groups of participants enthusiastically met (often in the bar) to identify and agree topics of common interest."

During the last decade many new concepts have been proposed for improving the performance of power MOSFETs. The results of this research are dispersed in the technical literature among journal articles and abstracts of conferences. Consequently, the information is not readily available to researchers and practicing engineers in the power device community. There is no cohesive treatment of the ideas to provide an assessment of the relative merits of the ideas.

"Advanced Power MOSFET Concepts" provides an in-depth treatment of the physics of operation of advanced power MOSFETs. Analytical models for explaining the operation of all the advanced power MOSFETs will be developed. The results of numerical simulations will be provided to give additional insight into the device physics and validate the analytical models. The results of two-dimensional simulations will be provided to corroborate the analytical models and give greater insight into the device operation.

Rapid advances in neural sciences and VLSI design technologies have provided an excellent means to boost the computational capability and efficiency of data and signal processing tasks by several orders of magnitude. With massively parallel processing capabilities, artificial neural networks can be used to solve many engineering and scientific problems. Due to the optimized data communication structure for artificial intelligence applications, a neurocomputer is considered as the most promising sixth-generation computing machine. Typical applica tions of artificial neural networks include associative memory, pattern classification, early vision processing, speech recognition, image data compression, and intelligent robot control. VLSI neural circuits play an important role in exploring and exploiting the rich properties of artificial neural networks by using pro grammable synapses and gain-adjustable neurons. Basic building blocks of the analog VLSI neural networks consist of operational amplifiers as electronic neurons and synthesized resistors as electronic synapses. The synapse weight information can be stored in the dynamically refreshed capacitors for medium-term storage or in the floating-gate of an EEPROM cell for long-term storage. The feedback path in the amplifier can continuously change the output neuron operation from the unity-gain configuration to a high-gain configuration. The adjustability of the vol tage gain in the output neurons allows the implementation of hardware annealing in analog VLSI neural chips to find optimal solutions very efficiently. Both supervised learning and unsupervised learning can be implemented by using the programmable neural chips."