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The International Radar Symposium aims to provide a forum for both academic and industrial professionals in radar from all over the world and bring together academicians, researchers, engineers, system analysts, graduete and undergraduate students with government and non government organizations to share and discuss both theoretical and practical knowledge Wie invite everybody to submit outstanding and valuable original research papers and participate in the technical exhibition during the conference
The escalating demand for advanced communication, sensing, and scanning systems across various applications as well as the urgency to comprehend the complexities of RF Frontend systems is more pronounced than ever. At the heart of this challenge lies the reconfigurability feature, playing a vital role in shaping the current trajectory of wireless technologies. The book Radar and RF Front End System Designs for Wireless Systems delves straight into this pressing issue and examines the relentless pace of innovation spurred by a myriad of configuration and design architectures. While these advancements hold great promise, they also introduce challenges that warrant thorough examination. Within the pages of this publication, a narrative unfolds that transcends theoretical discourse. The book offers a unique opportunity for academic scholars, researchers, and industry professionals to not only understand the intricacies of RF Frontend systems but also to grapple with the practical challenges posed by their rapid evolution. It becomes a guide in navigating this dynamic landscape, providing a deep exploration of the issues at hand and paving the way for informed solutions and breakthroughs.
This book gives you a comprehensive overview of key optimization tools that can be used to design radar waveforms and adaptive signal processing strategies under practical constraints -- strategies such as power method-like iterations, coordinate descent, and majorization-minimization – that help you to meet the more and more stressing sensing system requirements. The book walks you through how radar waveform synthesis is obtained as the solution to a constrained optimization problem such as finite energy, unimodularity (or being constant-modulus), and finite or discrete-phase (potentially binary) alphabet, which are dictated by the practical limitations of the real systems. Several approaches in each of these broad frameworks are detailed and various applications of these optimization techniques are described. Focusing on a holistic approach rather than a problem-specific approach, the book shows you what you need to effectively formulate waveform design and understand the flexibility of the framework for adapting to your own specific needs. You’ll have full access to the tools and knowledge you need to design waveform with optimized correlation/cross-correlation properties for SISO/SIMO and MIMO radars, taking into account spectral constraints for cognitive rads, as well as coexistence with communications and mitigate possible Doppler and quantization errors, and more. The book also includes representative software codes that further help you generate the described solutions. With its unique style of covering mathematical results along with their applications from diverse areas, this is a much-needed, detailed handbook for industry researchers, scientists and designers including medical, marine, defense, and automotive companies. It is also an excellent resource for advanced courses on radar signal processing.
The Aerospace PhD Days are organized by the Italian Association of Aeronautics and Astronautics, AIDAA, and are open to PhD students working on Aerospace Science and Engineering topics. The 2024 proceedings edition has 42 presentations, with authors from more than ten institutions, including delegates from China, Germany, Lithuania, and Switzerland. Many aerospace disciplines and topics were covered, such as fluid dynamics, structures, stratospheric balloons, maintenance and operations, UAV, dynamics and control, space systems, sustainability of aeronautics and space, aeroelasticity, multiphysics, space debris, aeroacoustics, navigation and traffic management, additive manufacturing, and human-machine interaction. Keywords: Luid Dynamics, Structures, Stratospheric Balloons, Maintenance and Operations, UAV, Dynamics and Control, Space Systems, Sustainability of Aeronautics and Space, Aeroelasticity, Multiphysics, Space Debris, Aeroacoustics, Navigation and Traffic Management, Additive Manufacturing, Human-Machine Interaction.
The two-volume set LNCS 13956 and 13957 constitutes the refereed proceedings of the 23rd International Conference on Computational Science and Its Applications, ICCSA 2023, held at Lesvos Island, Greece, during July 3–6, 2023. The 67 full papers and 13 short papers and 6 PHD showcase papers included in this volume were carefully reviewed and selected from a total of 283 submissions. The contributions are grouped in topics which deal with General Track 1: Computational Methods, Algorithms and Scientific Applications; General Track 2: High Performance Computing and Networks; General Track 3: Geometric Modeling, Graphics and Visualization; General Track 4: Advanced and Emerging Applications; General Track 5: Information Systems and Technologies; General Track 6: Urban and Regional Planning; and PHD Showcase Papers.
This book provides a breadth of innovative and impactful research in the field of telecommunications led by women investigators. Topics covered include satellite communications, cognitive radars, remote sensing sensor networks, quantum Internet, and cyberspace. These topics touch on many of the challenges facing the world today and these solutions by women researchers are valuable for their technical excellence and their non-traditional perspective. As an important part of the Women in Engineering and Science book series, the work highlights the contribution of women leaders in telecommunications, inspiring women and men, girls and boys to enter and apply themselves to secure our future in.
Methods and Techniques in Deep Learning Introduces multiple state-of-the-art deep learning architectures for mmWave radar in a variety of advanced applications Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions provides a timely and authoritative overview of the use of artificial intelligence (AI)-based processing for various mmWave radar applications. Focusing on practical deep learning techniques, this comprehensive volume explains the fundamentals of deep learning, reviews cutting-edge deep metric learning techniques, describes different typologies of reinforcement learning (RL) algorithms, highlights how domain adaptation (DA) can be used for improving the performance of machine learning (ML) algorithms, and more. Throughout the book, readers are exposed to product-ready deep learning solutions while learning skills that are relevant for building any industrial-grade, sensor-based deep learning solution. A team of authors with more than 70 filed patents and 100 published papers on AI and sensor processing illustrates how deep learning is enabling a range of advanced industrial, consumer, and automotive applications of mmWave radars. In-depth chapters cover topics including multi-modal deep learning approaches, the elemental blocks required to formulate Bayesian deep learning, how domain adaptation (DA) can be used for improving the performance of machine learning algorithms, and geometric deep learning are used for processing point clouds. In addition, the book: Discusses various advanced applications and how their respective challenges have been addressed using different deep learning architectures and algorithms Describes deep learning in the context of computer vision, natural language processing, sensor processing, and mmWave radar sensors Demonstrates how deep parametric learning reduces the number of trainable parameters and improves the data flow Presents several human-machine interface (HMI) applications such as gesture recognition, human activity classification, human localization and tracking, in-cabin automotive occupancy sensing Methods and Techniques in Deep Learning: Advancements in mmWave Radar Solutions is an invaluable resource for industry professionals, researchers, and graduate students working in systems engineering, signal processing, sensors, data science, and AI.
The book, which is part of a two-volume handbook set, presents a collection of recent advances in the field of industrial engineering, design, and related technologies. It includes state-of-the-art research conducted in the fields of Industry 4.0/5.0, smart systems/industries, robotics and automation, automobile engineering, thermal and fluid engineering, and its implementation. Manufacturing Technologies and Production Systems: Principles and Practices offers a comprehensive description of the developments in industrial engineering primarily focusing on industrial design, automotive engineering, construction and structural engineering, thermo-fluid mechanics, and interdisciplinary domains. The book captures emerging areas of materials science and advanced manufacturing engineering and presents the most recent trends in research for emerging researchers, field engineers, and academic professionals.
This book constitutes the refereed proceedings of the 4th International Conference on Spatial Data and Intelligence, SpatialDI 2023, held in Nanchang, China, in April 13–15, 2023. The 18 full papers included in this book were carefully reviewed and selected from 68 submissions. They were organized in topical sections as follows: traffic management; visualization analysis; spatial big data analysis; spatiotemporal data mining; spatiotemporal data storage; and metaverse.