This book covers the state of the art in learning algorithms with an inclusion of semi-supervised methods to provide a broad scope of clustering and classification solutions for big data applications. Case studies and best practices are included along with theoretical models of learning for a comprehensive reference to the field. The book is organized into eight chapters that cover the following topics: discretization, feature extraction and selection, classification, clustering, topic modeling, graph analysis and applications. Practitioners and graduate students can use the volume as an important reference for their current and future research and faculty will find the volume useful for assignments in presenting current approaches to unsupervised and semi-supervised learning in graduate-level seminar courses. The book is based on selected, expanded papers from the Fourth International Conference on Soft Computing in Data Science (2018). Includes new advances in clustering and classification using semi-supervised and unsupervised learning; Address new challenges arising in feature extraction and selection using semi-supervised and unsupervised learning; Features applications from healthcare, engineering, and text/social media mining that exploit techniques from semi-supervised and unsupervised learning.

Here it is--a collection of Forrest Mims's classic work from the original Popular Electronics magazine Using commonly available components and remarkable ingenuity, Forrest shows you how to build and experiment with circuits like these:
analog computers
color organs
digital phase-locked loops
frequency-to-voltage and voltage-to-frequency converters
interval timers
LED oscilloscopes
light wave communicators
magnetic field sensors
optoelectronics
pseudorandom number generators
tone sequencers
and much, much, more

Achieve first-time-success designing RF and microwave amplifiers and oscillators using the iterative synthesis techniques provided in this practical resource. The book introduces new approaches to help you estimate the 1dB compression point of class A and class B linear circuits, initialize the fundamental component voltages and currents in a harmonic balance simulator, and more easily generate load-pull contours for class A and class B transistors.

Considered as a generalization of the Cripps approach, this independently developed method can be applied easily to control or predict the output power in single- or multi-stage amplifiers. Changes in the transistor's configuration, as well as feedback and loading can also be handled smoothly.

This book helps you:
gain greater insight into the characteristics of single-layer parallel plate capacitors and provide accurate models for them
obtain a clear picture of the stability of each stage in the amplifier and control the output power and oscillation frequency of an oscillator based on linear principles
design class A high dynamic range amplifiers, multistage power amplifiers, amplifiers with an optimum noise match and a low input VSWR, and wideband impedance-matching networks

The book also includes all of the design principles, theory, and background from the well-received first edition. It is an excellent resource for amplifier and oscillator designers, RF and microwave engineers, and university students.

This book presents a novel control method for power converters, referred to as m-mode control. It provides an overview of traditional control methods for inverters - e.g. PWM and SVPWM - and the theory of the m-mode control method, while also discussing and applying m-mode control on various types of converters (including three-phase, nine-switch, five-leg and multi-level inverters, PWM rectifiers and modular multi-level converters). The book provides readers with sufficient background and understanding to delve deeper into the topic of SVPWM control. It is also a valuable guide for engineers and researchers whose work involves power converter control.

The scope of image processing and recognition has broadened due to the gap in scientific visualization. Thus, new imaging techniques have developed, and it is imperative to study this progression for optimal utilization. Big Data Analytics for Satellite Image Processing and Remote Sensing is a critical scholarly resource that examines the challenges and difficulties of implementing big data in image processing for remote sensing and related areas. Featuring coverage on a broad range of topics, such as distributed computing, parallel processing, and spatial data, this book is geared towards scientists, professionals, researchers, and academicians seeking current research on the use of big data analytics in satellite image processing and remote sensing.

Presents technologies and key concepts to produce suitable smart materials and intelligent structures for sensing, information and communication technology, biomedical applications (drug delivery, hyperthermia therapy), self-healing, flexible memories and construction technologies. Novel developments of environmental friendly, cost-effective and scalable production processes are discussed by experts in the field.

Today, air-to-surface vessel (ASV) radars, or more generally airborne maritime surveillance radars, are installed on maritime reconnaissance aircraft for long-range detection, tracking and classification of surface ships (ASuW-anti-surface warfare) and for hunting submarines (ASW-anti-submarine warfare). Such radars were first developed in the UK during WWII as part of the response to the threat to shipping from German U-boats. This book describes the ASV radars developed in the UK and used by RAF Coastal Command during WWII for long-range maritime surveillance.

Today, air-to-surface vessel (ASV) radars, or more generally maritime surveillance radars, are installed on maritime reconnaissance aircraft for long-range detection, tracking and classification of surface ships (ASuW-anti-surface warfare) and for hunting submarines (ASW-anti-submarine warfare). Such radars were first developed in the UK during WWII as part of the response to the threat to shipping from German U-Boats. This book describes the ASV radars developed in the UK after WWII (1946-2000) and used by the RAF for long-range maritime surveillance.

CMOS Past, Present and Future provides insight from the basics, to the state-of-the-art of CMOS processing and electrical characterization, including the integration of Group IV semiconductors-based photonics. The book goes into the pitfalls and opportunities associated with the use of hetero-epitaxy on silicon with strain engineering and the integration of photonics and high-mobility channels on a silicon platform. It begins with the basic definitions and equations, but extends to present technologies and challenges, creating a roadmap on the origins of the technology and its evolution to the present, along with a vision for future trends. The book examines the challenges and opportunities that materials beyond silicon provide, including a close look at high-k materials and metal gate, strain engineering, channel material and mobility, and contacts. The book's key approach is on characterizations, device processing and electrical measurements.

These proceedings present selected research papers from CISC'18, held in Wenzhou, China. The topics include Multi-Agent Systems, Networked Control Systems, Intelligent Robots, Complex System Theory and Swarm Behavior, Event-Triggered Control and Data-Driven Control, Robust and Adaptive Control, Big Data and Brain Science, Process Control, Nonlinear and Variable Structure Control, Intelligent Sensor and Detection Technology, Deep learning and Learning Control Guidance, Navigation and Control of Flight Vehicles, and so on. Engineers and researchers from academia, industry, and government can get an insight view of the solutions combining ideas from multiple disciplines in the field of intelligent systems.

Volume I: A low-dimensional magnet is key to the next-generation of electronic devices. In some aspects, low dimensional magnets refer to nanostructured magnets or single-molecule magnets. They are widely used in biomedicine, technology, industries, and environmental remediation. Emerging Applications of Low Dimensional Magnets covers current state-of-the-art progress in ferromagnetic materials, experimental studies of nanomaterials-based spintronics, and directions for future approaches, applications, and devices. Experts from a variety of areas such as biomedical engineering, materials science, nanotechnology, and electronic engineering have contributed to this handbook making it the most up-to-date and interdisciplinary reference of its kind in the field of low dimensional magnets. Volume II: Low-dimensional magnetic materials find their wide applications in many areas, including spintronics, memory devices, catalysis, biomedical, sensors, electromagnetic shielding, aerospace, and energy. This book provides a comprehensive discussion on magnetic nanomaterials for emerging applications. Fundamentals along with applications of low-dimensional magnetic materials in spintronics, catalysis, memory, biomedicals, toxic waste removal, aerospace, telecommunications, batteries, supercapacitors, flexible electronics, and many more are covered in detail to provide a full spectrum of their advanced applications. This book offers fresh aspects of nanomagnetic materials and innovative directions to scientists, researchers, and students. It will be of particular interest to materials scientists, engineers, physicists, chemists, and researchers in electronic and spintronic industries, and is suitable as a textbook for undergraduate and graduate studies.

As the world has entered the era of big data, there is a need to give a semantic perspective to the data to find unseen patterns, derive meaningful information, and make intelligent decisions. This 2-volume handbook set is a unique, comprehensive, and complete presentation of the current progress and future potential explorations in the field of data science and related topics. Handbook of Data Science with Semantic Technologies provides a roadmap for a new trend and future development of data science with semantic technologies. The first volume serves as an important guide towards applications of data science with semantic technologies for the upcoming generation and thus becomes a unique resource for both academic researchers and industry professionals. The second volume provides a roadmap for the deployment of semantic technologies in the field of data science that enables users to create intelligence through these technologies by exploring the opportunities while eradicating the current and future challenges. The set explores the optimal use of these technologies to provide the maximum benefit to the user under one comprehensive source. This set consisting of two separate volumes can be utilized independently or together as an invaluable resource for students, scholars, researchers, professionals, and practitioners in the field.

Wide bandgap semiconductors, made from such materials as GaN, SiC, diamond and ZnSe, are undergoing a strong resurgence in recent years, principally because of their direct bandgaps which give them a huge advantage over the indirect gap SiC. As an example, more than 10 million blue LEDs using this technology are sold each month, and new, high-brightness (15 lumens per watt), very-long-lifetime white LEDs are under development with the potential to replace incandescent bulbs in many situations.

WIDE BANDGAP SEMICONDUCTORS provides readers with a broad overview of this rapidly expanding technology, bringing them up to speed on new discoveries and commercial applications. It provides specific technical explanations of key processes such as laser diodes, LEDs and very high temperature electronic controls on engines, focusing on doping, etching, oxidation passivation, growth techniques, and more...

The volume also explores the potential use of these semiconductors in HDTV, power conditioning devices, and high power microwave applications. The contributors are all experts in the fields of growth, processing, and characterization of these semiconductors, including II-VI compounds, processing techniques for SiC, GaN and diamond, and materials analysis of all wide gap semiconductors.

Key Features:

- Explains the development and advantages of broadgap semiconductors, showing their increasing power and their increasingly broader use in commercial and military products

- Features step-by-step explanations of key processes in the fabrication of the semiconductors, including chemistry, testing, design, and more

- Explores the need for advanced electronics capable of operation at 6000C and how silicon-on-insulator technology will meet this need

- Provides an understanding of semiconductor chemistry, thermodynamics and etching, along with technical explanations of common devices, descriptions of processing equipment and techniques, impurity testing, implantation damage, and more

Doherty Power Amplifiers: From Fundamentals to Advanced Design Methods is a great resource for both RF and microwave engineers and graduate students who want to understand and implement the technology into future base station and mobile handset systems. The book introduces the very basic operational principles of the Doherty Amplifier and its non-ideal behaviors. The different transconductance requirements for carrier and peaking amplifiers, reactive element effect, and knee voltage effect are described. In addition, several methods to correct imperfections are introduced, such as uneven input drive, gate bias adaptation, dual input drive and the offset line technique. Advanced design methods of Doherty Amplifiers are also explained, including multistage/multiway Doherty power amplifiers which can enhance the efficiency of the amplification of a highly-modulated signal. Other covered topics include signal tracking operation which increases the dynamic range, highly efficient saturated amplifiers, and broadband amplifiers, amongst other comprehensive, related topics.

This book presents the outcomes of the workshop sponsored by the National Natural Sciences Foundation of China and the UK Newton Fund, British Council Researcher Links. The Workshop was held in Harbin, China, from 14 to 17 July 2017, and brought together some thirty young (postdoctoral) researchers from China and the UK specializing in geosciences, sensor signal networks and their applications to natural disaster recovery. The Workshop presentations covered the state of the art in the area of disaster recovery and blended wireless sensor systems that act as early warning systems to mitigate the consequences of disasters and function as post-disaster recovery vehicles. This book promotes knowledge transfer and helps readers explore and identify research opportunities by highlighting research outcomes in the internationally relevant area of disaster recovery and mitigation.

Micro-nanoelectronics Devices: Modeling of Diffusion and Operation Processes concentrates on the modeling of diffusion processes and the behavior of modern integrated components, from material, to architecture. It goes through the process, the device and the circuit regarding today's widely discussed nano-electronics, both from an industry perspective and that of public entities.

Handbook of Silicon Wafer Cleaning Technology, Third Edition, provides an in-depth discussion of cleaning, etching and surface conditioning for semiconductor applications. The fundamental physics and chemistry associated with wet and plasma processing are reviewed, including surface and colloidal aspects. This revised edition includes the developments of the last ten years to accommodate a continually involving industry, addressing new technologies and materials, such as germanium and III-V compound semiconductors, and reviewing the various techniques and methods for cleaning and surface conditioning. Chapters include numerous examples of cleaning technique and their results. The book helps the reader understand the process they are using for their cleaning application and why the selected process works. For example, discussion of the mechanism and physics of contamination, metal, particle and organic includes information on particle removal, metal passivation, hydrogen-terminated silicon and other processes that engineers experience in their working environment. In addition, the handbook assists the reader in understanding analytical methods for evaluating contamination. The book is arranged in an order that segments the various cleaning techniques, aqueous and dry processing. Sections include theory, chemistry and physics first, then go into detail for the various methods of cleaning, specifically particle removal and metal removal, amongst others.

This book focuses on the design, implementation and applications of embedded systems and advanced industrial controls with microcontrollers. It combines classical and modern control theories as well as practical control programming codes to help readers learn control techniques easily and effectively. The book covers both linear and nonlinear control techniques to help readers understand modern control strategies. The author provides a detailed description of the practical considerations and applications in linear and nonlinear control systems. They concentrate on the ARM (R) Cortex (R)-M4 MCU system built by Texas Instruments (TM) called TM4C123GXL, in which two ARM (R) Cortex (R)-M4 MCUs, TM4C123GH6PM, are utilized. In order to help the reader develop and build application control software for a specified microcontroller unit. Readers can quickly develop and build their applications by using sample project codes provided in the book to access specified peripherals. The book enables readers to transfer from one interfacing protocol to another, even if they only have basic and fundamental understanding and basic knowledge of one interfacing function. Classical and Modern Controls with Microcontrollers is a powerful source of information for control and systems engineers looking to expand their programming knowledge of C, and of applications of embedded systems with microcontrollers. The book is a textbook for college students majored in CE, EE and ISE to learn and study classical and modern control technologies. The book can also be adopted as a reference book for professional programmers working in modern control fields or related to intelligent controls and embedded computing and applications. Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.

This book presents the most important tools, techniques, strategy and diagnostic methods used in industrial engineering. The current widely accepted methods of diagnosis and their properties are discussed. Also, the possible fruitful areas for further research in the field are identified.

Spacecraft Dynamics and Control: The Embedded Model Control Approach provides a uniform and systematic way of approaching space engineering control problems from the standpoint of model-based control, using state-space equations as the key paradigm for simulation, design and implementation. The book introduces the Embedded Model Control methodology for the design and implementation of attitude and orbit control systems. The logic architecture is organized around the embedded model of the spacecraft and its surrounding environment. The model is compelled to include disturbance dynamics as a repository of the uncertainty that the control law must reject to meet attitude and orbit requirements within the uncertainty class. The source of the real-time uncertainty estimation/prediction is the model error signal, as it encodes the residual discrepancies between spacecraft measurements and model output. The embedded model and the uncertainty estimation feedback (noise estimator in the book) constitute the state predictor feeding the control law. Asymptotic pole placement (exploiting the asymptotes of closed-loop transfer functions) is the way to design and tune feedback loops around the embedded model (state predictor, control law, reference generator). The design versus the uncertainty class is driven by analytic stability and performance inequalities. The method is applied to several attitude and orbit control problems.

This thesis describes the design, development, characterisation and clinical translation of three novel devices for optical endoscopic imaging. Over the past decade, rapid innovation in optics and photonics has led to the availability of low-cost and high-performance optical technologies that can be exploited for biomedical applications, but relatively few have been translated into clinic. The work presented outlines for the first time, a comprehensive analysis of the common barriers and unique challenges associated with the translation of optical imaging techniques. To assist developers streamline translation of optical imaging devices in future, a roadmap to clinical translation is outlined, and key translational characteristics are defined. Guided by these, subsequent development of endoscopic devices resulted in preparation and approval of endoscopes for first in human trials in the oesophagus, for early detection of cancer, and in the brain, for delineation of tumour during surgical resection. The thesis culminates in the presentation of results from the first in human use of a compact multispectral endoscope for imaging endogenous tissue contrast in the oesophagus. With continuation of the work as outlined at the end of this thesis, the novel techniques described have the potential to improve the standard of care in their respective indications.