Electronics engineering Books

Book SynopsisDemystify causal inference and casual discovery by uncovering causal principles and merging them with powerful machine learning algorithms for observational and experimental data Purchase of the print or Kindle book includes a free PDF eBook Key Features Examine Pearlian causal concepts such as structural causal models, interventions, counterfactuals, and more Discover modern causal inference techniques for average and heterogenous treatment effect estimation Explore and leverage traditional and modern causal discovery methods Book DescriptionCausal methods present unique challenges compared to traditional machine learning and statistics. Learning causality can be challenging, but it offers distinct advantages that elude a purely statistical mindset. Causal Inference and Discovery in Python helps you unlock the potential of causality. You’ll start with basic motivations behind causal thinking and a comprehensive introduction to Pearlian causal concepts, such as structural causal models, interventions, counterfactuals, and more. Each concept is accompanied by a theoretical explanation and a set of practical exercises with Python code. Next, you’ll dive into the world of causal effect estimation, consistently progressing towards modern machine learning methods. Step-by-step, you’ll discover Python causal ecosystem and harness the power of cutting-edge algorithms. You’ll further explore the mechanics of how “causes leave traces” and compare the main families of causal discovery algorithms. The final chapter gives you a broad outlook into the future of causal AI where we examine challenges and opportunities and provide you with a comprehensive list of resources to learn more.What you will learn Master the fundamental concepts of causal inference Decipher the mysteries of structural causal models Unleash the power of the 4-step causal inference process in Python Explore advanced uplift modeling techniques Unlock the secrets of modern causal discovery using Python Use causal inference for social impact and community benefit Who this book is forThis book is for machine learning engineers, data scientists, and machine learning researchers looking to extend their data science toolkit and explore causal machine learning. It will also help developers familiar with causality who have worked in another technology and want to switch to Python, and data scientists with a history of working with traditional causality who want to learn causal machine learning. It’s also a must-read for tech-savvy entrepreneurs looking to build a competitive edge for their products and go beyond the limitations of traditional machine learning.Table of ContentsTable of Contents Causality – Hey, We Have Machine Learning, So Why Even Bother? Judea Pearl and the Ladder of Causation Regression, Observations, and Interventions Graphical Models Forks, Chains, and Immoralities Nodes, Edges, and Statistical (In)dependence The Four-Step Process of Causal Inference Causal Models – Assumptions and Challenges Causal Inference and Machine Learning – from Matching to Meta-Learners Causal Inference and Machine Learning – Advanced Estimators, Experiments, Evaluations, and More Causal Inference and Machine Learning – Deep Learning, NLP, and Beyond Can I Have a Causal Graph, Please? Causal Discovery and Machine Learning – from Assumptions to Applications Causal Discovery and Machine Learning – Advanced Deep Learning and Beyond Epilogue

Read more less

Book SynopsisThis book offers a comprehensive introduction to advanced methods for image and video analysis and processing. It covers deraining, dehazing, inpainting, fusion, watermarking and stitching. It describes techniques for face and lip recognition, facial expression recognition, lip reading in videos, moving object tracking, dynamic scene classification, among others. The book combines the latest machine learning methods with computer vision applications, covering topics such as event recognition based on deep learning，dynamic scene classification based on topic model, person re-identification based on metric learning and behavior analysis. It also offers a systematic introduction to image evaluation criteria showing how to use them in different experimental contexts. The book offers an example-based practical guide to researchers, professionals and graduate students dealing with advanced problems in image analysis and computer vision.Table of ContentsIntroduction and Overview.- Matlab Functions of Image and Video.- Image and Video Segmentation.- Feature Extraction and Representation.- Common Evaluation Criterion.- Image Correction.- Image Inpainting.- Fusions.- Image Stitching.- Image Watermarking.

Read more less

Book SynopsisThe second edition of this popular textbook thoroughly covers the practical basics and applications of conducting polymers. It also addresses materials that have gained prominence since the first edition of this book was published, namely carbon nanotubes and graphene.The features of this new edition include: New and updated chapters on novel concepts in conducting polymers Details on interdisciplinary applications of conducting polymers An in depth description of classes of conducting polymers Trade Review“The second edition of this popular textbook provides a comprehensive overview on the practical basics and applications of conducting polymers. It fulfills its intension of assisting various researchers from diverse fields to become familiar with fundamentals and applications of conducting polymers.” (Ralph Bäßler, Materials and Corrosion, 2018)Table of ContentsPart I: Carbon Nanotubes (CNTS), Fundamentals.- Introducing Carbon Nanotubes (CNTS).- Conduction Models and Electronic Structure of CNTS.- Synthesis, Purification and Chemical Modification of CNTS.- Physical, Mechanical and Thermal Properties of CNTS.- Toxicology of CNTS.- Part II: Carbon Nanotubes (CNTS), Applications.- Brief, General Overview of Applications.- CNT Applications in Specialized Materials.- CNT Applications in Batteries and Energy Devices.- CNT Applications in Sensors and Actuators.- CNT Applications in Drug and Biomolecule Delivery.- CNT Applications in Microelectronics, “Nanoelectronics” and “Nano-bioelectronics”.- CNT Applications in Displays and Transparent, Conductive Films/Substrates.- CNT Applications in Electrical Conductors, “Quantum Nanowires”, Potential Superconductors.- CNT Applications in the Environment and in Materials Used in Separation Science.- Miscellaneous CNT Applications.- Part III: Graphene, Fundamentals.- Introducing Graphene.- Electronic Structure and Conduction Models of Graphene.- Synthesis and Chemical Modification of Graphene.- Part IV: Graphene, Applications.- Brief, General Overview of Applications.- Graphene Applications in Sensors.- Graphene Applications in Batteries and Energy Devices.- Graphene Applications in Electronics, Electrical Conductors, and Related Uses.- Graphene Applications in Displays and Transparent, Conductive Films/Substrates.- Medical and Pharmaceutical Applications of Graphene.- Graphene Applications in Specialized Materials.- Miscellaneous Applications of Graphene.- Part V: Conducting Polymers, Fundamentals.- Introducting Conducting Polymers (CPS).- Conduction Models and Electronic Structure of CPS.- Basic Electrochromics of CPS.- Basic Electrochemistry of CPS.- Syntheses and Processing of CPS.- Structural Aspects and Morphology of CPS.- Characterization Methods.- Classes of CPS: Part 1.- Classes of CPS: Part 2.- Part VI: Conducting Polymers, Applications.- Sensors.- Batteries and Energy Devices.- Electrochromics.- Displays, Including Light Emitting Diodes (LEDS) and Conductive Films.- Microwave- and Conductivity-based Technologies.- Electro-optic and Optical Devices.- Electrochemomechanical, Chemomechanical and Related Devices.- Miscellaneous Applications.

Read more less

Book SynopsisThis book focuses on the development and implementation of cloud-based, complex software that allows parallelism, fast processing, and real-time connectivity. Software engineering (SE) is the design, development, testing, and implementation of software applications, and this discipline is as well developed as the practice is well established whereas the Cloud Software Engineering (CSE) is the design, development, testing, and continuous delivery of service-oriented software systems and applications (Software as a Service Paradigm). However, with the emergence of the highly attractive cloud computing (CC) paradigm, the tools and techniques for SE are changing. CC provides the latest software development environments and the necessary platforms relatively easily and inexpensively. It also allows the provision of software applications equally easily and on a pay-as-you-go basis. Business requirements for the use of software are also changing and there is a need for applications in big data analytics, parallel computing, AI, natural language processing, and biometrics, etc. These require huge amounts of computing power and sophisticated data management mechanisms, as well as device connectivity for Internet of Things (IoT) environments. In terms of hardware, software, communication, and storage, CC is highly attractive for developing complex software that is rapidly becoming essential for all sectors of life, including commerce, health, education, and transportation. The book fills a gap in the SE literature by providing scientific contributions from researchers and practitioners, focusing on frameworks, methodologies, applications, benefits and inherent challenges/barriers to engineering software using the CC paradigm.Table of ContentsPart 1 - Cloud Requirements Engineering and Domain Modelling: 1. Requirement Engineering Framework for Service and Cloud Computing (REF-SCC).- 2. Towards an Effective Requirement Engineering Approach for Cloud Applications.- 3. Requirements Engineering for Large-Scale Big Data Applications.- 4. Migrating from Monoliths to Cloud-Based Microservices: A Banking Industry Example.- 5. Cloud Enabled Domain Based Software Development.- 6. Security Challenges in Software Engineering for the Cloud: A Systematic Review. Part 2 - Cloud Design and Software Engineering Analytics with Machine Learning Approaches : 7. Software Engineering Framework for Software Defect Management Using Machine Learning Techniques with Azure.- 8. Sentiment Analysis of Twitter Data Through Machine Learning Techniques.- 9. Connection Handler: A Design Pattern for Recovery from Connection Crashes. Part 3 : Cloud Testing and Software Process Improvement as a Service : 10. A Modern Perspective on Cloud Testing Ecosystems.- 11. Towards Green Software Testing in Agile and DevOps using Cloud Virtualization for Environmental Protection.- 12. Machine Learning as a Service for Software Process Improvement.- 13. Comparison of Data Mining Techniques in the Cloud for Software Engineering.

Read more less

Book SynopsisThis book presents the fundamentals of digital electronics in a focused and comprehensivemanner with many illustrations for understanding of the subject with high clarity. DigitalSignal Processing (DSP) application information is provided for many topics of the subjectto appreciate the practical significance of learning. To summarize, this book lays afoundation for students to become DSP engineers.Table of ContentsOverview of Digital Signal Processing.- Programmable Logic Devices.- Logic Gates.- Combinational Logic Devices.- Clock and Timing Signals.

Read more less

Book SynopsisThis book discusses and compares several new trends that can be used to overcome Moore’s law limitations, including Neuromorphic, Approximate, Parallel, In Memory, and Quantum Computing. The author shows how these paradigms are used to enhance computing capability as developers face the practical and physical limitations of scaling, while the demand for computing power keeps increasing. The discussion includes a state-of-the-art overview and the essential details of each of these paradigms. Table of Contents1. An Introduction: New Trends in Computing2. Numerical Computing3. Parallel Computing: OpenMP, MPI, and CUDA4. Deep Learning and Cognitive computing: Pillars and Ladders5. Approximate Computing: Towards Ultra Low Power Systems Design6. Near-Memory/In-Memory Computing: Pillars and Ladders7. Quantum Computing and DNA Computing: Beyond Conventional Approaches8. Cloud, Fog and Edge Computing9. Reconfigurable and Heterogeneous Computing10. ConclusionIndex

Read more less

Book SynopsisThis Springer brief provides the necessary foundations to understand differential privacy and describes practical algorithms enforcing this concept for the publication of real-time statistics based on sensitive data. Several scenarios of interest are considered, depending on the kind of estimator to be implemented and the potential availability of prior public information about the data, which can be used greatly to improve the estimators' performance. The brief encourages the proper use of large datasets based on private data obtained from individuals in the world of the Internet of Things and participatory sensing. For the benefit of the reader, several examples are discussed to illustrate the concepts and evaluate the performance of the algorithms described. These examples relate to traffic estimation, sensing in smart buildings, and syndromic surveillance to detect epidemic outbreaks.Table of ContentsChapter 1. Defining Privacy Preserving Data Analysis.- Chapter 2. Basic Differentially Private Mechanism.- Chapter 3. A Two-Stage Architecture for Differentially Private Filtering.- Chapter 4. Differentially Private Filtering for Stationary Stochastic Collective Signals.- Chapter 5. Differentially Private Kalman Filtering.- Chapter 6. Differentially Private Nonlinear Observers.- Chapter 7. Conclusion.

Read more less

Book SynopsisThis book will give a detailed description of different carbon based materials synthesis methods, characterization, and applications. It serves as a fundamental information source on the actual techniques and methodologies involved in carbon materials synthesis, such as CVD, plasma in liquids, fusion reactors, or frequency-doubled yttrium–aluminum– garnet (YAG) lasers. This book includes coverage of several categories of carbon materials, such as graphene, carbon fiber composites, functionalized carbons, and polyimides used for various applications, from microelectronic industry to slotted waveguide antennas.Table of Contents1. Introduction to Raman spectroscopy of chemically functionalized CVD graphene2. Applications of Graphite Materials in the Field of Electromagnetic Compatibility3. Carbon Fibre Reinforced Polymer Materials for Antennas and Microwave Technologies4. Structural Design and Optimization of Slotted Waveguide Antenna Stiffened Structures Under Compressive Load5. The Influence of Azobenzene Content on Azopolyimides Capacity to Form Laser-Induced Surface Relief Gratings6. Structural Modifications of Polymers and Nanocomposites Synthesis by Pulsed Electrical Discharges in LiquidsIndex

Read more less

Book SynopsisThis book describes a set of SystemC‐based virtual prototype analysis methodologies, including design understanding, verification, security validation, and design space exploration. Readers will gain an overview of the latest research results in the field of Electronic Design Automation (EDA) at the Electronic System Level (ESL). The methodologies discussed enable readers to tackle easily key tasks and applications in the design process.Table of ContentsChapter 1. Introduction.- Chapter 2. Background.- Chapter 3. Design Understanding Methodology.- Chapter 4. Application I: Verification.- Chapter 5. Application II: Security Validation.- Chapter 6. Application III: Design Space Exploration.- Chapter 7. Conclusion.

Read more less

Book SynopsisThis textbook offers a unique compendium of measurement procedures for experimental data acquisition. After introducing readers to the basic theory of uncertainty evaluation in measurements, it shows how to apply it in practice to conduct a range of laboratory experiments with instruments and procedures operating both in the time and frequency domains. Offering extensive practical information and hands-on tips on using oscilloscopes, spectrum analyzers and reflectometric instrumentation, the book shows readers how to deal with e.g. filter characterization, operational amplifiers, digital and analogic spectral analysis, and reflectometry-based measurements. For each experiment, it describes the corresponding uncertainty evaluation in detail. Bridging the gap between theory and practice, the book offers a unique, self-contained guide for engineering students and professionals alike. It also provides university teachers and professors with a valuable resource for their laboratory courses on electric and electronic measurements.Table of ContentsBasic theory of uncertainty evaluation in measurements.- Time Domain Measurements.- Frequency Domain Measurements.- Reflectometric Measurements.- PCB scheme.

Read more less

Book SynopsisThis book explores C-based design, implementation, and analysis of post-quantum cryptography (PQC) algorithms for signature generation and verification. The authors investigate NIST round 2 PQC algorithms for signature generation and signature verification from a hardware implementation perspective, especially focusing on C-based design, power-performance-area-security (PPAS) trade-offs and design flows targeting FPGAs and ASICs. Describes a comprehensive set of synthesizable c code base as well as the hardware implementations for the different types of PQC algorithms including lattice-based, code-based, and multivariate-based; Demonstrates the hardware (FPGA and ASIC) and hardware-software optimizations and trade-offs of the NIST round 2 signature-based PQC algorithms; Enables designers to build hardware implementations that are resilient to a variety of side-channels. Table of ContentsIntroduction.- qTESLA.- CRYSTALS –Dilithium.- MQDSS.- SPHINCS.- Luov.- Falcon.- Picnic.- GeMSS.- Power, Performance, Area, and Security (PPAS) Comparison of the PQC Algorithms.- Conclusions.

Read more less

Book SynopsisThis book is the very first book-length study devoted to the advances in technological development and systems research in cooperative economics. The chapters provide, first of all, a coherent framework for understanding and applying the concepts and approaches of complexity and systems science for the advanced study of cooperative networks and particular cooperative enterprises and communities. Second, the book serves as a unique source of reliable information on the frontier information technologies available for the production, consumer, credit, and agricultural cooperative enterprises, discussing predominant strategies, potential drivers of change, and responses to complex problems. Given the diverse range of backgrounds and advanced research results, researchers, decision-makers, and stakeholders from all fields of cooperative economics in any country of the world will undoubtedly benefit from this book.Table of ContentsThe Role of Credit Cooperatives in Financing the Real Sector of the Economy.- Innovative Marketing Technologies in the Development of a New Product: Methodological Solutions in the Context of Economic Integration and Cooperation.- Cooperative Platform in the Modern Economy.- Education at a Cooperative University in the Digital Economy.- The Development of Cooperation in the Digital Economy Based on Scientific Research by A. V. Chayanov.- Involvement of the World’s Largest Cooperatives in Sustainable Development Processes.- Collaborations in the Modern Economy.

Read more less

Book SynopsisDrawing on their experiences in successfully executing hundreds of MEMS development projects, the authors present the first practical guide to navigating the technical and business challenges of MEMS product development, from the initial concept stage all the way to commercialization. The strategies and tactics presented, when practiced diligently, can shorten development timelines, help avoid common pitfalls, and improve the odds of success, especially when resources are limited. MEMS Product Development illuminates what it really takes to develop a novel MEMS product so that innovators, designers, entrepreneurs, product managers, investors, and executives may properly prepare their companies to succeed.Table of ContentsIntroduction.- Understanding global silicon wafer manufacturing infrastructure.- Stages of development.- MEMS parameter sensitivity models.- Co-development of control and readout electronics.- Process integration.- Planning for test and data gathering.- Planning for package integration.- Mask layout.- Documentation.- Opportunity analysis.- Operational requirements.- MEMS product cost modeling.- Timeline planning.- When is the right time to move to a production facility?.- Finding foundry and supply chain vendors.- Transferring technology for production.- Quality control requirements.- Managing a global supply chain.

Read more less

Book SynopsisThis textbook presents a comprehensive introduction to ultrafast laser physics with a keen awareness of the needs of graduate students. It is self-contained and ready to use for both ultrafast laser courses and background for experimental investigation in the lab. The book starts with an advanced introduction to linear and nonlinear pulse propagation, details Q-switching and modelocking and goes into detail while explaining ultrashort pulse generation and measurement. Finally, the characterization of the laser signals is illustrated, and a broad range of applications presented. A multitude of worked examples and problems with solutions help to deepen the reader's understanding.Table of ContentsLinear pulse propagation in dispersive media.- linear pulse propagation.- dispersion compensation.- nonlinear pulse propagation.- relaxation oscillations in lasers.- Q-switching.- active modelocking.- passive modelocking: generation of ultrashort laser pulses.- pulse duration measurements.- noise characterization of pulsed laser signals.- applications of short-pulse lasers.- appendices.- index.

Read more less