Motion Planning for Dynamic Agents

Motion Planning for Dynamic Agents PDF Author: Zain Anwar Ali
Publisher: BoD – Books on Demand
ISBN: 0854660593
Category : Science
Languages : en
Pages : 152

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Book Description
This book, Motion Planning for Dynamic Agents, presents a thorough overview of current advancements and provides insights into the fascinating and vital field of aeronautics. It focuses on modern research and development, with an emphasis on dynamic agents. The chapters address a wide range of complex capabilities, including formation control, guidance and navigation, control techniques, wide-space coverage for inspection and exploration, and the best pathfinding in unknown territory. This book is a valuable resource for scholars, practitioners, and amateurs alike due to the variety of perspectives that are included, which help readers gain a sophisticated understanding of the difficulties and developments in the area of study.

Emerging Non-volatile Memory Technologies

Emerging Non-volatile Memory Technologies PDF Author: Wen Siang Lew
Publisher: Springer Nature
ISBN: 9811569126
Category : Science
Languages : en
Pages : 439

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Book Description
This book offers a balanced and comprehensive guide to the core principles, fundamental properties, experimental approaches, and state-of-the-art applications of two major groups of emerging non-volatile memory technologies, i.e. spintronics-based devices as well as resistive switching devices, also known as Resistive Random Access Memory (RRAM). The first section presents different types of spintronic-based devices, i.e. magnetic tunnel junction (MTJ), domain wall, and skyrmion memory devices. This section describes how their developments have led to various promising applications, such as microwave oscillators, detectors, magnetic logic, and neuromorphic engineered systems. In the second half of the book, the underlying device physics supported by different experimental observations and modelling of RRAM devices are presented with memory array level implementation. An insight into RRAM desired properties as synaptic element in neuromorphic computing platforms from material and algorithms viewpoint is also discussed with specific example in automatic sound classification framework.

Green Energy Systems

Green Energy Systems PDF Author: Vinod Kumar Singh
Publisher: Elsevier
ISBN: 0323951090
Category : Science
Languages : en
Pages : 270

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Book Description
Green Energy Systems: Design, Modelling, Synthesis and Applications provides a comprehensive introduction to the design, modeling, optimization and application of predictable and alternative energy systems. With a strong focus on the fundamentals, the book provides an overview of the energy potential and conversion topology of green energy sources, the design and analysis of off grid solar and wind energy sources, and their application in effective energy management in rural communities. Sections address energy systems from solar, wind, biomass, and hybrid energy sources, and include discussions of power electronic circuit topologies for energy conversion in both off and on grid systems. The second part of the book addresses energy harvesting at different scales, with a particular emphasis on micro energy harvesting for low power electronics like wearable devices. A wide range of applications are also discussed, alongside their challenges and solutions. Finally, case studies are presented on select topics to give readers deeper insights into the real-world applications discussed. - Introduces the fundamental principles underlying green energy systems, their characterization, analysis, modelling, and evaluation - Includes a wide range of applications of new functional materials for next-generation devices - Provides supporting data and calculations alongside real-world case studies

Machine Learning Paradigm for Internet of Things Applications

Machine Learning Paradigm for Internet of Things Applications PDF Author: Shalli Rani
Publisher: John Wiley & Sons
ISBN: 1119763479
Category : Computers
Languages : en
Pages : 308

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Book Description
MACHINE LEARNING PARADIGM FOR INTERNET OF THINGS APPLICATIONS As companies globally realize the revolutionary potential of the IoT, they have started finding a number of obstacles they need to address to leverage it efficiently. Many businesses and industries use machine learning to exploit the IoT’s potential and this book brings clarity to the issue. Machine learning (ML) is the key tool for fast processing and decision-making applied to smart city applications and next-generation IoT devices, which require ML to satisfy their working objective. Machine learning has become a common subject to all people like engineers, doctors, pharmacy companies, and business people. The book addresses the problem and new algorithms, their accuracy, and their fitness ratio for existing real-time problems. Machine Learning Paradigm for Internet of Thing Applications provides the state-of-the-art applications of machine learning in an IoT environment. The most common use cases for machine learning and IoT data are predictive maintenance, followed by analyzing CCTV surveillance, smart home applications, smart-healthcare, in-store ‘contextualized marketing’, and intelligent transportation systems. Readers will gain an insight into the integration of machine learning with IoT in these various application domains.

Modern Magnetic and Spintronic Materials

Modern Magnetic and Spintronic Materials PDF Author: Andreas Kaidatzis
Publisher: Springer Nature
ISBN: 9402420347
Category : Science
Languages : en
Pages : 171

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Book Description
Magnetic and spintronic materials are ubiquitous in modern technological applications, e.g. in electric motors, power generators, sensors and actuators, not to mention information storage and processing. Medical technology has also greatly benefited from magnetic materials – especially magnetic nanoparticles – for therapy and diagnostics methods. All of the above-mentioned applications rely on the properties of the materials used. These properties in turn depend on intrinsic and extrinsic material parameters. The former are related to the actual elements used and their properties, e.g. atomic magnetic moment and exchange interaction between atoms; the latter are related to the structural and microstructural properties of the materials used, e.g. their crystal structure, grain size, and grain boundary phases. Focusing on state-of-the-art magnetic and spintronic materials, this book will introduce readers to a range of related topics in Physics and Materials Science. Phenomena and processes at the nanoscale are of particular importance in this context; accordingly, much of the book addresses such topics.

Magnetic Actuators and Sensors

Magnetic Actuators and Sensors PDF Author: John R. Brauer
Publisher: John Wiley & Sons
ISBN: 0471777706
Category : Science
Languages : en
Pages : 322

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Book Description
This practical text features computer-aided engineering methods for the design and application of magnetic actuators and sensors, using the latest software tools. John Brauer highlights the use of the electromagnetic finite element software package Maxwell? SV and introduces readers to applications using SPICE, MATLAB?, and Simplorer?. A free download of Maxwell? SV is available at the Ansoft site, and the software files for the examples are available at ftp://ftp.wiley.com/public/sci_tech_med/magnetic_actuators. The text is divided into four parts: * Part One, Magnetics, offers an introduction to magnetic actuators and sensors as well as basic electromagnetics, followed by an examination of the reluctance method, the finite element method, magnetic force, and other magnetic performance parameters * Part Two, Actuators, explores DC actuators, AC actuators, and magnetic actuator transient operation * Part Three, Sensors, details Hall effect and magnetoresistance as they apply to sensing position. Readers are introduced to many other types of magnetic sensors * Part Four, Systems, covers aspects of systems common to both magnetic actuators and sensors, including coil design and temperature calculations, electromagnetic compatibility, electromechanical finite elements, and electromechanical analysis using system models. The final chapter sets forth the advantages of electrohydraulic systems that incorporate magnetic actuators and/or sensors A major thrust of this book is teaching by example. In addition to solved examples provided by the author, problems at the end of each chapter help readers to confirm their understanding of new skills and techniques. References, provided in each chapter, help readers explore particular topics in greater depth. With its emphasis on problem solving and applications, this is an ideal textbook for electrical and mechanical engineers enrolled in upper-level undergraduate and graduate classes in electromechanical engineering.

InECCE2019

InECCE2019 PDF Author: Ahmad Nor Kasruddin Nasir
Publisher: Springer Nature
ISBN: 9811523177
Category : Technology & Engineering
Languages : en
Pages : 905

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Book Description
This book presents the proceedings of the 5th International Conference on Electrical, Control & Computer Engineering 2019, held in Kuantan, Pahang, Malaysia, on 29th July 2019. Consisting of two parts, it covers the conferences’ main foci: Part 1 discusses instrumentation, robotics and control, while Part 2 addresses electrical power systems. The book appeals to professionals, scientists and researchers with experience in industry.The conference provided a platform for professionals, scientists and researchers with experience in industry.

Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications

Proceedings of the 11th International Conference on Robotics, Vision, Signal Processing and Power Applications PDF Author: Nor Muzlifah Mahyuddin
Publisher: Springer Nature
ISBN: 9811681295
Category : Technology & Engineering
Languages : en
Pages : 1124

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Book Description
The proceeding is a collection of research papers presented at the 11th International Conference on Robotics, Vision, Signal Processing & Power Applications (RoViSP 2021). The theme of RoViSP 2021 “Enhancing Research and Innovation through the Fourth Industrial Revolution (IR 4.0)” served as a platform for researchers, scientists, engineers, academicians as well as industrial professionals from all around the globe to present and exchange their research findings and development activities through oral presentations. The book covers various topics of interest, including: Robotics, Control, Mechatronics and Automation Telecommunication Systems and Applications Electronic Design and Applications Vision, Image and Signal Processing Electrical Power, Energy and Industrial Applications Computer and Information Technology Biomedical Engineering and Applications Intelligent Systems Internet-of-things Mechatronics Mobile Technology

Magnetic Measurement Techniques for Materials Characterization

Magnetic Measurement Techniques for Materials Characterization PDF Author: Victorino Franco
Publisher: Springer Nature
ISBN: 3030704432
Category : Technology & Engineering
Languages : en
Pages : 814

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Book Description
This book discusses the most commonly used techniques for characterizing magnetic material properties and their applications. It provides a comprehensive and easily digestible collection and review of magnetic measurement techniques. It also examines the underlying operating principles and techniques of magnetic measurements, and presents current examples where such measurements and properties are relevant. Given the pervasive nature of magnetic materials in everyday life, this book is a vital resource for both professionals and students wishing to deepen their understanding of the subject.

Smart Sensors and Devices in Artificial Intelligence

Smart Sensors and Devices in Artificial Intelligence PDF Author: Dan Zhang
Publisher: MDPI
ISBN: 3039436694
Category : Technology & Engineering
Languages : en
Pages : 336

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Book Description
Sensors are the eyes or/and ears of an intelligent system, such as UAV, AGV and robots. With the development of material, signal processing, and multidisciplinary interactions, more and more smart sensors are proposed and fabricated under increasing demands for homes, the industry, and military fields. Networks of sensors will be able to enhance the ability to obtain huge amounts of information (big data) and improve precision, which also mirrors the developmental tendency of modern sensors. Moreover, artificial intelligence is a novel impetus for sensors and networks, which gets sensors to learn and think and feed more efficient results back. This book includes new research results from academia and industry, on the subject of “Smart Sensors and Networks”, especially sensing technologies utilizing Artificial Intelligence. The topics include: smart sensors biosensors sensor network sensor data fusion artificial intelligence deep learning mechatronics devices for sensors applications of sensors for robotics and mechatronics devices