Memristor Emulator Circuit Design And Applications
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Memristor Emulator Circuits
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Author : Abdullah G. Alharbi
language : en
Publisher: Springer Nature
Release Date : 2020-09-01
Memristor Emulator Circuits written by Abdullah G. Alharbi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-01 with Technology & Engineering categories.
This book provides a comprehensive study of the research outcomes on memristor emulator circuits and includes various analog applications as examples. The authors describe in detail how to design different types of memristor emulators, using active and passive components for different applications. Most of the emulator circuits presented in this book are new and are the outcomes of the authors’ recent research. Coverage also includes the latest technological advances in memristor and memristor emulators. Readers will benefit from an understanding of the fundamental concepts and potential applications related to memristors, since these emulator circuits can be built in the laboratory using inexpensive, off-the-shelf circuit components. Introduces readers to memristor emulator circuit design, using regular off-the-shelf circuit components; Describes analog applications of memristors that can be verified by the proposed emulator circuits; Includes a brief overview of the updated mathematical models of the memristor device, with different material implementations; Equips readers to understand the three fingerprints of memristors, which make them unique, compared to the three known, passive elements (resistor, inductor and capacitor).
Memristor Emulator Circuit Design And Applications
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Author : Carlos Sánchez López
language : en
Publisher:
Release Date : 2018
Memristor Emulator Circuit Design And Applications written by Carlos Sánchez López and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with Computers categories.
This chapter introduces a design guide of memristor emulator circuits, from conceptual idea until experimental tests. Three topologies of memristor emulator circuits in their incremental and decremental versions are analysed and designed at low and high frequency. The behavioural model of each topology is derived and programmed at SIMULINK under the MATLAB environment. An offset compensation technique is also described in order to achieve the frequency-dependent pinched hysteresis loop that is on the origin and when the memristor emulator circuit is operating at high frequency. Furthermore, from these topologies, a technique to transform normal non-linear resistors to inverse non-linear resistors is also addressed. HSPICE numerical simulations for each topology are also shown. Finally, three real analogue applications based on memristors are analysed and explained at the behavioural level of abstraction.
Memristor And Memristive Neural Networks
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Author : Alex James
language : en
Publisher: BoD – Books on Demand
Release Date : 2018-04-04
Memristor And Memristive Neural Networks written by Alex James and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-04 with Computers categories.
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: (1) Devices, (2) Models and (3) Applications. The resistive switching property is an important aspect of the memristors, and there are several designs of this discussed in this book, such as in metal oxide/organic semiconductor nonvolatile memories, nanoscale switching and degradation of resistive random access memory and graphene oxide-based memristor. The modelling of the memristors is required to ensure that the devices can be put to use and improve emerging application. In this book, various memristor models are discussed, from a mathematical framework to implementations in SPICE and verilog, that will be useful for the practitioners and researchers to get a grounding on the topic. The applications of the memristor models in various neuromorphic networks are discussed covering various neural network models, implementations in A/D converter and hierarchical temporal memories.
Mem Elements For Neuromorphic Circuits With Artificial Intelligence Applications
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Author : Christos Volos
language : en
Publisher: Academic Press
Release Date : 2021-06-17
Mem Elements For Neuromorphic Circuits With Artificial Intelligence Applications written by Christos Volos and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-17 with Technology & Engineering categories.
Mem-elements for Neuromorphic Circuits with Artificial Intelligence Applications illustrates recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) and their applications in nonlinear dynamical systems, computer science, analog and digital systems, and in neuromorphic circuits and artificial intelligence. The book is mainly devoted to recent results, critical aspects and perspectives of ongoing research on relevant topics, all involving networks of mem-elements devices in diverse applications. Sections contribute to the discussion of memristive materials and transport mechanisms, presenting various types of physical structures that can be fabricated to realize mem-elements in integrated circuits and device modeling. As the last decade has seen an increasing interest in recent advances in mem-elements and their applications in neuromorphic circuits and artificial intelligence, this book will attract researchers in various fields. - Covers a broad range of interdisciplinary topics between mathematics, circuits, realizations, and practical applications related to nonlinear dynamical systems, nanotechnology, analog and digital systems, computer science and artificial intelligence - Presents recent advances in the field of mem-elements (memristor, memcapacitor, meminductor) - Includes interesting applications of mem-elements in nonlinear dynamical systems, analog and digital systems, neuromorphic circuits, computer science and artificial intelligence
Deep Learning Classifiers With Memristive Networks
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Author : Alex Pappachen James
language : en
Publisher: Springer
Release Date : 2019-04-08
Deep Learning Classifiers With Memristive Networks written by Alex Pappachen James and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-08 with Computers categories.
This book introduces readers to the fundamentals of deep neural network architectures, with a special emphasis on memristor circuits and systems. At first, the book offers an overview of neuro-memristive systems, including memristor devices, models, and theory, as well as an introduction to deep learning neural networks such as multi-layer networks, convolution neural networks, hierarchical temporal memory, and long short term memories, and deep neuro-fuzzy networks. It then focuses on the design of these neural networks using memristor crossbar architectures in detail. The book integrates the theory with various applications of neuro-memristive circuits and systems. It provides an introductory tutorial on a range of issues in the design, evaluation techniques, and implementations of different deep neural network architectures with memristors.
Memristors For Neuromorphic Circuits And Artificial Intelligence Applications
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Author : Jordi Suñé
language : en
Publisher: MDPI
Release Date : 2020-04-09
Memristors For Neuromorphic Circuits And Artificial Intelligence Applications written by Jordi Suñé and has been published by MDPI this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-09 with Technology & Engineering categories.
Artificial Intelligence (AI) has found many applications in the past decade due to the ever increasing computing power. Artificial Neural Networks are inspired in the brain structure and consist in the interconnection of artificial neurons through artificial synapses. Training these systems requires huge amounts of data and, after the network is trained, it can recognize unforeseen data and provide useful information. The so-called Spiking Neural Networks behave similarly to how the brain functions and are very energy efficient. Up to this moment, both spiking and conventional neural networks have been implemented in software programs running on conventional computing units. However, this approach requires high computing power, a large physical space and is energy inefficient. Thus, there is an increasing interest in developing AI tools directly implemented in hardware. The first hardware demonstrations have been based on CMOS circuits for neurons and specific communication protocols for synapses. However, to further increase training speed and energy efficiency while decreasing system size, the combination of CMOS neurons with memristor synapses is being explored. The memristor is a resistor with memory which behaves similarly to biological synapses. This book explores the state-of-the-art of neuromorphic circuits implementing neural networks with memristors for AI applications.
Memristive Nonlinear Electronic Circuits
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Author : Fadhil Rahma
language : en
Publisher: Springer
Release Date : 2019-01-19
Memristive Nonlinear Electronic Circuits written by Fadhil Rahma and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-19 with Technology & Engineering categories.
Memristive Nonlinear Electronic Circuits deals with nonlinear systems in the design and implementation of circuits for generating complex dynamics. The brief proposes a new memristor model using an inverse tangent function, which achieves the characteristics of the memristor and can be implemented easily because it corresponds to the bipolar transistor differential pair. The authors design a new model-based memristive time-delay system by obtaining a time-delay memristive differential equation, which can generate an n-scroll chaotic attractor by adjusting the proposed nonlinear function. These designs are carried out using OrCAD-PSpice. The brief also presents a new time-delay memristive circuit excited by a nonautonomous staircase function which can generate grid chaotic attractors: new families of grids of n×m-scrolls. For increasingly complex dynamics of the circuits, the authors propose a new five-dimensional autonomous system with two memristors. The dynamical characteristics are investigated by phase portraits and bifurcation diagrams. The brief applies two synchronization methods to the memristive circuits: PC synchronization, and feedback control synchronization. The authors consider synchronization as the idea underlying idea the applications in nonlinear electronic circuits. Finally, the double-memristor system is employed to give rise to a highly secure dual-stage encryption technique.
Nanoelectronic Devices And Applications
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Author : Trupti Ranjan Lenka
language : en
Publisher: Bentham Science Publishers
Release Date : 2024-07-02
Nanoelectronic Devices And Applications written by Trupti Ranjan Lenka and has been published by Bentham Science Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-02 with Technology & Engineering categories.
Nanoelectronic Devices and Applications presents reviews on recent advances in nanoelectronic device design and new directions for their practical use. The volume includes 16 edited chapters that cover novel material systems, band engineering, modelling and simulations, fabrication and characterization techniques, and their emerging applications. The discussions presented in this book are based on current understandings on innovations and future trends, and references are provided for advanced scholars. Chapter 1 presents an overview of recent innovations and future prospects in III-nitride semiconductor technologies for RF, power, digital and quantum applications. Chapter 2 reports new trends in GaN-based optical devices for sensing and micro-display applications. Chapter 3 shows current interests in nanophosphors and their utilizations in improving device performance of InGaN nanowire light-emitting diodes (LEDs). Recent studies on the effect of potential profile on the carrier transport in AlGaAs based double quantum well structures and their applications are presented in Chapter 4. The recent progress in high-electron-mobility transistors (HEMTs) is presented through Chapters 5, 6, and 7. A comprehensive review on β-Ga2O3 emphasizing material properties, growth approaches, and its applications for next-generation high-power nanoelectronics; the effect of dielectric layers on the characteristics of AlN/β-Ga2O3 HEMTs are presented in Chapter 8 and 9 respectively. Chapters 10-14 summarize the recent studies in field-effect transistors (FETs) adopting different materials and structures. Chapter 15 presents current research in 2D Tungsten Diselenide (WSe2) with special focus on the material properties, device structures, applications, and challenges. Finally, Chapter 16 presents a systematic review of memristors, and memristive semiconductor devices. The book is intended as a primary resource for elective subjects in advanced electronics and computer engineering courses at university level. Researchers and industry professionals will also learn about emerging trends and state-of-the-art research in nanoelectronics.
Cognitive Informatics And Soft Computing
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Author : Pradeep Kumar Mallick
language : en
Publisher: Springer Nature
Release Date : 2021-07-01
Cognitive Informatics And Soft Computing written by Pradeep Kumar Mallick and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-01 with Technology & Engineering categories.
This book presents best selected research papers presented at the 3rd International Conference on Cognitive Informatics and Soft Computing (CISC 2020), held at Balasore College of Engineering & Technology, Balasore, Odisha, India, from 12 to 13 December 2020. It highlights, in particular, innovative research in the fields of cognitive informatics, cognitive computing, computational intelligence, advanced computing, and hybrid intelligent models and applications. New algorithms and methods in a variety of fields are presented, together with solution-based approaches. The topics addressed include various theoretical aspects and applications of computer science, artificial intelligence, cybernetics, automation control theory, and software engineering.
Random Number Generators
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Author : Luis Gerardo de la Fraga
language : en
Publisher: Springer Nature
Release Date : 2025-05-17
Random Number Generators written by Luis Gerardo de la Fraga and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-17 with Technology & Engineering categories.
This book discusses the details of random number generation (RNG) as a key technology that is used for information security in various fields, such as electronic commerce and authentication. Readers will see how random numbers are used in various applications such as in the generation of keys for data encryption, games, lotteries, sampling, simulations, statistical sampling, search/sort algorithms, and gambling. The authors describe how the classification of RNGs encompasses linear and nonlinear (chaotic) pseudo and truly random number generators, and how they can be evaluated by applying statistical tests. Covers a vast array of special topics on fractional-order chaotic circuits and systems to develop applications in information security; Describes details of using FPGAs to approach chaotic maps and fractional-order circuits and systems for hardware security; Includes Verilog hardware description for random number generation.