Elektrotechnik

This book opens the eyes of readers to the clear relationship between the molecular-sized structures and the macroscopic functions of organic devices. The discovery of novel phenomena and the mechanism of multiplied photocurrent generation in organic semiconductors, which can be applicable to amplification-type photosensors, are concisely summarized. The motivation for writing this book is to let readers know how the novel phenomena were discovered and how the novel concepts were created. The main features here include the discovery of photocurrent multiplication, the tunneling mechanism, the structural trap model, novel phenomena related to photocurrent multiplication, avalanche multiplication, and ideas for the future. This book is of interest to new and experienced scientists as well as graduate students. The author strongly hopes that the young scientists of the next generation will be enthusiastically inspired by this book and will develop the field of organic semiconductors even further.

This multi-volume handbook is the most up-to-date and comprehensive reference work in the field of fractional calculus and its numerous applications. This seventh volume collects authoritative chapters covering several applications of fractional calculus in in engineering, life, and social sciences, including applications in biology and medicine, mechanics of complex media, economy, and electrical devices.

Time and Its Measurement, a classical book, has been considered important throughout the human history, and so that this work is never forgotten we at Alpha Editions have made efforts in its preservation by republishing this book in a modern format for present and future generations. This whole book has been reformatted, retyped and designed. These books are not made of scanned copies of their original work and hence the text is clear and readable.

This book provides an analysis of acoustic features of polysemous strings and an implementation of a speech disambiguation program based on the phonetic information. Throughout the book, the term 'polysemous string' refers to idioms with plausible literal interpretations, restrictive and non-restrictive relative clauses, and the same expressions used as quotations and appearing in a non-quotational context. The author explains how, typically, context is sufficient to determine the intended meaning. But there is enough evidence in psycholinguistic and phonetic literature to suspect that these superficially identical strings exhibit different acoustic features. In the experiment presented in the book, the participants were asked to read short excerpts containing corresponding elements of polysemous strings placed in the same intonational position. The acoustic analyses of ditropic pairs and subsequent statistical tests revealed that there is almost no difference in the duration, pitch, or intensity in literal and figurative interpretations. However, the analysis of relative clauses and quotations demonstrated that speakers are more likely to use acoustic cues to differentiate between the two possible readings. The book argues that the acoustic analysis of polysemous phrases could be successfully implemented in designing automatic speech recognition systems in order to improve their performance in disambiguating polysemous phrases.Analyzes acoustic features of polysemous strings and an implementation of a speech disambiguation programIncludes evidence that superficially identical strings exhibit different acoustic featuresArgues that acoustic analysis of polysemous phrases can be successfully implemented in automatic speech recognition

This book presents a comprehensive analysis of stability, stabilization, and fault detection in networked control systems, with a focus on unmanned marine vehicles. It investigates the challenges of network-based control in areas like heading control, fault detection filter and controller design, dynamic positioning, and cooperative target tracking. Communication networks in control systems can induce delays and dropouts, so the book presents the importance of stability analysis, stabilize, and fault detection. To help readers gain a deeper understanding of these concepts, the book provides fundamental concepts and real-world examples.This book is a valuable resource for researchers and practitioners working in the field of network-based control for unmanned marine vehicles.

First, the Prime Power subsystem comprises the storage of energy to be radiated by the HPM Source and Antenna. The Power Conditioning subsystem takes the stored energy and makes it usable to the HPM Source, both by voltage conversion and pulse shaping. The HPM Source takes the transformed energy and creates the high-power microwave by either drastically oscillating or amplifying the voltage. Finally, the Antenna radiates the high-power microwaves at the desired frequency and gain to produce an effect in the target. Of the 4 HPM subsystems, this book specifically outlines the design and implementation of a Power Conditioning HPM subsystem developed for MTSDO at Radiance Technologies

This book belongs to the field of intelligent vehicle control, which is dedicated to the research of nonlinear control problems of intelligent vehicle chassis-by-wire systems. Through the nonlinear stability control of the steer-by-wire system and the consistency optimization control of the brake-by-wire system, the performance of the vehicle subsystem is improved. Then, the decoupling control of the nonlinear inverse system is used to realize the decoupling of the chassis-by-wire system. Finally, this book further adopts nonlinear rollover prevention integrated control to improve the rollover prevention performance of the vehicle.

This book constitutes the proceedings of the XXX Conference on Electrical and Electronic Engineering (JIEE 2021), held in Quito, Ecuador, on December 15 ¿ 17, 2021, proudly organized by Facultad de Ingeniería Eléctrica y Electrónica in Escuela Politécnica Nacional in collaboration with GDEON. JIEE is an international event that allows educators, students and researchers from universities and polytechnic schools to present their academic and professional work. It provides an opportunity to discuss and exchange ideas on issues, trends, and developments in the related fields of electrical, telecommunications, information networks, automation, industry, and electronics. Presenting high-quality, peer-reviewed papers, the book discusses the following topics:¿ Industrial Control and Automation¿ Power Systems¿ Information Networks

This book explains how depth measurements from the Time-of-Flight (ToF) range imaging cameras are influenced by the electronic timing-jitter. The author presents jitter extraction and measurement techniques for any type of ToF range imaging cameras. The author mainly focuses on ToF cameras that are based on the amplitude modulated continuous wave (AMCW) lidar techniques that measure the phase difference between the emitted and reflected light signals. The book discusses timing-jitter in the emitted light signal, which is sensible since the light signal of the camera is relatively straightforward to access. The specific types of jitter that present on the light source signal are investigated throughout the book. The book is structured across three main sections: a brief literature review, jitter measurement, and jitter influence in AMCW ToF range imaging.

Hybrid perovskite photovoltaics could play a vital role in future's renewable energy production. However, there are still severe challenges when scaling the technology. In this work, perovskite solution films drying in laminar and slot-jet air flows are investigated extensively by optical in situ characterization. The main results are a quantitative model of perovskite drying dynamics and a novel in situ imaging technique - yielding valuable predictions for large-scale perovskite fabrication.

This book discusses the applications, challenges, and future trends of machine learning in medical domain, including both basic and advanced topics. The book presents how machine learning is helpful in smooth conduction of administrative processes in hospitals, in treating infectious diseases, and in personalized medical treatments. The authors show how machine learning can also help make fast and more accurate disease diagnoses, easily identify patients, help in new types of therapies or treatments, model small-molecule drugs in pharmaceutical sector, and help with innovations via integrated technologies such as artificial intelligence as well as deep learning. The authors show how machine learning also improves the physician's and doctor's medical capabilities to better diagnosis their patients. This book illustrates advanced, innovative techniques, frameworks, concepts, and methodologies of machine learning that will enhance the efficiency and effectiveness of the healthcare system.Provides researchers in machine and deep learning with a conceptual understanding of various methodologies of implementing the technologies in medical areas;Discusses the role machine learning and IoT play into locating different virus and diseases across the globe, such as COVID-19, Ebola, and cervical cancer;Includes fundamentals and advances in machine learning in the medical field, supported by significant case studies and practical applications.

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This contributed volume tells the story of the establishment of a cybersecurity awareness framework for organizations, and how it was piloted in two public sector municipal contexts. It presents a clear picture of cybersecurity issues in municipalities and proposes a socio-technical solution for creating cybersecurity awareness, how to build the solution and what the impact is on the municipal contexts. The 9 chapters for this book also provide information regarding the design, the deployment and the evaluation of the technology.This book builds on the success of the European Horizon 2020 research and innovation project CS-AWARE. The research proposes the first cybersecurity situational awareness solution for local public administrations based on an analysis of the context, provides automatic incident detection and visualization, and enables information exchange with relevant national and EU level authorities involved in legislation and network security.Cybersecurity is one of the most challenging security problems for commercial companies, NGOs, governmental institutions as well as individuals. Reaching beyond the technology focused boundaries of classical information technology (IT) security, cybersecurity includes organizational and behavioral aspects of IT systems and that needs to comply to legal and regulatory framework for cybersecurity. While large corporations might have the resources to follow those developments and bring their IT infrastructure and services in line with the requirements, the burden for smaller organizations like local public administrations will be substantial and the required resources might not be available. New and innovative solutions that would help local public administration to ease the burden of being in line with cybersecurity requirements are needed.This book targets researchers working in cybersecurity, computer scientists, social scientists and advanced level students studying computer science and other related disciplines. Cybersecurity professionals as well as professionals working in local government contexts, including policy makers, communication experts and system administrators will also benefit from this book.

Artificial intelligence techniques applied in the power system sector make the prediction of renewable power source generation and demand more efficient and effective. Additionally, since renewable sources are intermittent in nature, it is necessary to predict and analyze the data of input sources. Hence, further study on the prediction and data analysis of renewable energy sources for sustainable development is required. AI Techniques for Renewable Source Integration and Battery Charging Methods in Electric Vehicle Applications focuses on artificial intelligence techniques for the evolving power system field, electric vehicle market, energy storage elements, and renewable energy source integration as distributed generators. Covering key topics such as deep learning, artificial intelligence, and smart solar energy, this premier reference source is ideal for environmentalists, computer scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.

V poslednie gody topliwnye älementy stanowqtsq priwlekatel'nym istochnikom änergii w awtomobil'nyh prilozheniqh s topologiej preobrazowatelq postoqnnogo/peremennogo toka. Topologii mnogofaznyh preobrazowatelej ispol'zuütsq w wysokoproizwoditel'nyh prilozheniqh i w poslednie gody wyzywaüt wse bol'shij interes. V ätoj knige predlagaetsq nowyj preobrazowatel' postoqnnogo/postoqnnogo toka s wysokim shagom, kotoryj obespechiwaet wzaimodejstwie topliwnogo älementa s silowoj ustanowkoj gibridnyh älektromobilej. Koncepciq zaklüchaetsq w ispol'zowanii dwuh kondensatorow i odnogo swqzannogo induktora s umen'shennym kolichestwom pereklüchatelej dlq dostizheniq wysokogo koäfficienta usileniq naprqzheniq. Predlagaemyj preobrazowatel' postoqnnogo/peremennogo toka srawniwaetsq s drugimi topologiqmi preobrazowatelej, takimi kak mnogourownewyj bust-preobrazowatel' s cheredowaniem ustrojstw (MDIBC), dlq prowerki ego proizwoditel'nosti. Topologii preobrazowatelej postoqnnogo/peremennogo toka i ih kontroller razrabotany i issledowany s pomosch'ü MATLAB/Simulink. Rezul'taty modelirowaniq pokazali, chto predlozhennyj preobrazowatel' bolee äffektiwen, chem drugie topologii preobrazowatelej postoqnnogo/peremennogo toka, w dostizhenii wysokoj proizwoditel'nosti i nadezhnosti dlq moschnyh preobrazowatelej postoqnnogo/peremennogo toka.

This book presents high-quality peer-reviewed papers from the International Conference on Electronics, Biomedical Engineering, and Health Informatics (ICEBEHI) 2021 held at Surabaya, Indonesia, virtually. The contents are broadly divided into three parts: (i) electronics, (ii) biomedical engineering, and (iii) health informatics. The major focus is on emerging technologies and their applications in the domain of biomedical engineering. It includes papers based on original theoretical, practical, and experimental simulations, development, applications, measurements, and testing. Featuring the latest advances in the field of biomedical engineering applications, this book serves as a definitive reference resource for researchers, professors, and practitioners interested in exploring advanced techniques in the field of electronics, biomedical engineering, and health informatics. The applications and solutions discussed here provide excellent reference material for future product development.

This book covers the latest research on applications of nanomaterials in the field of energy systems and devices. It provides an overview of the state-of-art research in this rapidly developing field. It discusses the design and fabrication of nanostructured materials and their energy applications. Various topics covered include nanomaterials for perovskite solar cells, transition metal dichalcogenides (TMDs) nanocomposites based supercapacitors, battery materials and technologies, major challenges toward development of efficient thermoelectric materials for energy efficient devices, extraction and experimentation of biodiesel produced from leachate oils of landfills coupled with nano-additives aluminium oxide and copper oxide on diesel engine and many more. It has contributions from world-renowned specialists in the fields of nanomaterials and energy devices. The book will be useful for students, researchers and professionals working in the area of nanomaterials and energy systems & devices.

A implementação de estratégias de multitarefa em hardware com base em FPGA proporciona uma computação de alto desempenho que rivaliza com os ASICs em termos de desempenho, mas oferece programabilidade e facilidade de desenvolvimento mais próximas dos sistemas de software tradicionais. Neste livro, é apresentada uma arquitetura flexível e atualizável para utilizar as FPGA reconfiguráveis disponíveis no mercado. Neste sistema, são implementadas diferentes estratégias multitarefa utilizando VHDL em FPGA. Porque pode tirar partido do paralelismo de uma aplicação. Utilizando métodos de comutação contextual de recursos informáticos reconfiguráveis, podem ser construídos sistemas informáticos reconfiguráveis multitarefa que oferecem a maioria das características disponíveis nos computadores reconfiguráveis tradicionais. Este livro descreve os métodos de comutação de contexto dos recursos de um computador reconfigurável, bem como um protótipo de FPGA reconfigurável multitarefa que foi criado.

Part I Background.- 1. Vision of Pervasive Backscatter.- 2. Understanding State-of-the-art Ambient Backscatter.- Part II Backscatter Communication with Ambient Excitations.- 3. Spatial Stream Backscatter with MultiplexingWi-Fi.- 4. Single-SymbolWi-Fi Backscatter with Uncontrolled Ambient Signals.- 5. Symbol and Sub-symbolWi-Fi Backscatter for 802.11b.- 6. Content-Agnostic Backscatter with ambient OFDM signals.- Part III Towards Backscatter Networks at Scale.- 7. Multi-hopWi-Fi Backscatter.- 8. Multi-hop Backscatter Sensor Mesh.- 9. Multiprotocol BackscatterWith Commodity Radios.- Part IV Innovative Backscatter-Enabled Applications.- 10. Microphone Array Backscatter.- 11. Apollo: Battery-free wearable sweat monitoring system.- Part V Future Directions.- 12. Chapter Heading.

Il lavoro presentato in questa relazione rientra nell'ambito del Machine Learning, dove l'obiettivo è modellare un sistema non lineare e identificare i parametri del modello in questione on-line. Questo modello è sviluppato in uno spazio di Hilbert a kernel riproducibile (RKHS). Questi cosiddetti modelli di rappresentazione o black-box sono lineari rispetto ai loro parametri. Hanno avuto molto successo nell'identificazione di sistemi non lineari utilizzando i metodi kernel.