Advances In Array Optimization
Download Advances In Array Optimization PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Advances In Array Optimization book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Advances in Array Optimization
Author: Ertugrul Aksoy
language: en
Publisher: BoD – Books on Demand
Release Date: 2020-03-04
The need to develop technology and communication necessitates the design of flexible and high-capacity radiating systems in today's communication infrastructure. In this context, antenna arrays are the ideal solution and have been one of the priority research subjects of the science community dealing with electromagnetics from past to present. Optimization of an array may be performed in various ways such as the optimization of excitation, reflector structure, feed network, etc. depending on the array structure. This book is a collection of seven research studies focused on the optimization of array structures in classical phased array or time modulation, including radiator, reflector, feed network, and radiating element optimizations.
Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning
Author: Sawyer D. Campbell
language: en
Publisher: John Wiley & Sons
Release Date: 2023-09-26
Authoritative reference on the state of the art in the field with additional coverage of important foundational concepts Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning presents cutting-edge research advances in the rapidly growing areas in optical and RF electromagnetic device modeling, simulation, and inverse-design. The text provides a comprehensive treatment of the field on subjects ranging from fundamental theoretical principles and new technological developments to state-of-the-art device design, as well as examples encompassing a wide range of related sub-areas. The content of the book covers all-dielectric and metallodielectric optical metasurface deep learning-accelerated inverse-design, deep neural networks for inverse scattering, applications of deep learning for advanced antenna design, and other related topics. To aid in reader comprehension, each chapter contains 10-15 illustrations, including prototype photos, line graphs, and electric field plots. Contributed to by leading research groups in the field, sample topics covered in Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning include: Optical and photonic design, including generative machine learning for photonic design and inverse design of electromagnetic systems RF and antenna design, including artificial neural networks for parametric electromagnetic modeling and optimization and analysis of uniform and non-uniform antenna arrays Inverse scattering, target classification, and other applications, including deep learning for high contrast inverse scattering of electrically large structures Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning is a must-have resource on the topic for university faculty, graduate students, and engineers within the fields of electromagnetics, wireless communications, antenna/RF design, and photonics, as well as researchers at large defense contractors and government laboratories.
Advanced Memory Optimization Techniques for Low-Power Embedded Processors
Author: Manish Verma
language: en
Publisher: Springer Science & Business Media
Release Date: 2007-06-20
In a relatively short span of time, computers have evolved from huge mainframes to small and elegant desktop computers, and now to low-power, ultra-portable handheld devices. Witheachpassinggeneration,computersconsistingofprocessors,memoriesandperipherals becamesmallerandfaster.Forexample,the?rstcommercialcomputerUNIVACIcosted $1 million dollars, occupied 943 cubic feet space and could perform 1,905 operations per second [94]. Now, a processor present in an electric shaver easily outperforms the early mainframe computers. The miniaturization is largely due to the efforts of engineers and scientists that made the expeditious progress in the microelectronic technologies possible. According to Moore’s Law [90], the advances in technology allow us to double the number of transistors on a single silicon chip every 18 months. This has lead to an exponential increase in the number of transistors on a chip, from 2,300 in an Intel 4004 to 42 millions in Intel Itanium processor [55]. Moore’s Law has withstood for 40 years and is predicted to remain valid for at least another decade [91]. Notonlytheminiaturizationanddramaticperformanceimprovementbutalsothesign- icantdropinthepriceofprocessors,hasleadtosituationwheretheyarebeingintegratedinto products, such as cars, televisions and phones which are not usually associated with c- puters.This new trend has also been called the disappearing computer, where the computer does not actually disappear but it is everywhere [85]. Digital devices containing processors now constitute a major part of our daily lives. Asmalllistofsuchdevicesincludesmicrowaveovens,televisionsets,mobilephones,digital cameras, MP3 players and cars. Whenever a system comprises of information processingdigitaldevicestocontrolortoaugmentitsfunctionality,suchasystemistermedanembedded system. Therefore, all the above listed devices can be also classi?ed as embedded systems.