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Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the sizing task of RF IC design, which is used in two different steps of the automatic design process. The advances in telecommunications, such as the 5th generation broadband or 5G for short, open doors to advances in areas such as health care, education, resource management, transportation, agriculture and many other areas. Consequently, there is high pressure in today's market for significant communication rates, extensive bandwidths and ultralow-power consumption. This is where radiofrequency (RF) integrated circuits (ICs) come in hand, playing a crucial role. This demand stresses out the problem which resides in the remarkable difficulty of RF IC design in deep nanometric integration technologies due to their high complexity and stringent performances. Given the economic pressure for high quality yet cheap electronics and challenging time-to-market constraints, there is an urgent need for electronic design automation (EDA) tools to increase the RF designers' productivity and improve the quality of resulting ICs. In the last years, the automatic sizing of RF IC blocks in deep nanometer technologies has moved toward process, voltage and temperature (PVT)-inclusive optimizations to ensure their robustness. Each sizing solution is exhaustively simulated in a set of PVT corners, thus pushing modern workstations' capabilities to their limits.Standard ANNs applications usually exploit the model's capability of describing a complex, harder to describe, relation between input and target data. For that purpose, ANNs are a mechanism to bypass the process of describing the complex underlying relations between data by feeding it a significant number of previously acquired input/output data pairs that the model attempts to copy. Here, and firstly, the ANNs disrupt from the most recent trials of replacing the simulator in the simulation-based sizing with a machine/deep learning model, by proposing two different ANNs, the first classifies the convergence of the circuit for nominal and PVT corners, and the second predicts the oscillating frequencies for each case. The convergence classifier (CCANN) and frequency guess predictor (FGPANN) are seamlessly integrated into the simulation-based sizing loop, accelerating the overall optimization process. Secondly, a PVT regressor that inputs the circuit's sizing and the nominal performances to estimate the PVT corner performances via multiple parallel artificial neural networks is proposed. Two control phases prevent the optimization process from being misled by inaccurate performance estimates. As such, this book details the optimal description of the input/output data relation that should be fulfilled. The developed description is mainly reflected in two of the system's characteristics, the shape of the input data and its incorporation in the sizing optimization loop. An optimal description of thesecomponents should be such that the model should produce output data that fulfills the desired relation for the given training data once fully trained. Additionally, the model should be capable of efficiently generalizing the acquired knowledge in newer examples, i.e., never-seen input circuit topologies.…

Soft cover. Condizione: Good. 1st Edition. In Portuguese. Vincos ("orelhas") nas quinas da capa; oxidação nas guardas - some foxing on the initial and final pages. Exemplar sólido e completo, sem carimbos, anotações, folhas soltas ou rasgadas.

Taschenbuch. Condizione: Neu. Analog IC Placement Generation via Neural Networks from Unlabeled Data | António Gusmão (u. a.) | Taschenbuch | SpringerBriefs in Applied Sciences and Technology | xiii | Englisch | 2020 | Springer | EAN 9783030500603 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Condizione: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | Chapter 1. Introduction.- Chapter 2. Related Work: Machine Learning and Electronic Design Automation.- Chapter 3. Convergence Classifier & Frequency Guess Predictor based on ANNs.- Chapter 4. Process, Voltage and Temperature Corner Performance Estimator using ANNs.- Chapter 5. Conclusions.…

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paperback. Sobre a obraEstado de Direito, Liberdade e Democracia - 1ª Ed - 2025 Ensaios em Homenagem ao Ministro André Mendonça Esse trabalho nasceu de um desejo comum, sendo o produto do esforço conjunto de cinquenta e quatro autores, e coautores, de levar a termo merecida e honrosa homenagem aoMinistro André Luiz de Almeida Mendonça, doSupremo Tribunal Federal, desse grande país chamado Brasil. Denominada"Estado de Direito, Liberdade e Democracia: ensaios em homenagem ao Ministro André Mendonça", a presente obra congregacinquenta e quatro artigos, divididos entre diversos ramos do Direito, abordando temáticas em que o leitor terá a oportunidade de conhecer um pouco mais sobre o nosso ilustre homenageado. Somos gratos a todos os autores que contribuíram para a totalidade deste feito, juristas de escol, que em suas respectivas áreas de atuação possuem renome profissional e acadêmico. São membros da Magistratura em todos os seus degraus, doMinistério Público, daAdvocacia-Geral da União, daPolícia Federale outras instituições. O nosso agradecimento especial a todos. O título escolhido abarca os pilares do ideário escorreito e justo doMinistro André Mendonça, que sempre foi defensor implacável do Império da Lei. Nesse aspecto, agora ocupando assento naSuprema Corte, ele tem se destacado na defesa doEstado de Direito, das liberdades individuais e de nossa Constituição, que é o berço da democracia brasileira. A carreira e o pensamento doMinistro André Mendonçalhe são testemunhas verazes de seu compromisso com a verdade e com a justiça, que tem sido a tônica de sua atuação judicial. Há de se destacar seus votos proferidos sempre sob a égide daConstituição da Repúblicae alinhados ao bom senso. Nesse diapasão, oministério judiciáriodoMinistro André Mendonça, no limiar doPretório Excelso, tem sido verdadeiras âncora e bússola para os juristas e entusiastas doDireitoque depositam confiança no ordenamentojurídico do Brasil,em suas instituições democráticas e em seus pilares republicanos. E é exatamente nessa esteira, que esse compêndio celebra a atuação doMinistro André Mendonçadentro doSupremo Tribunal Federal. Sua dedicação incansável na entrega de uma prestação jurisdicional fiel àsLeis e à Constituição, o consagra, na história do constitucionalismo nacional, como um dos maiores Ministros que já passaram por essa respeitável instituição doEstado brasileiro. Há uma passagem bíblica que diz que pelos seus frutos, é possível conhecer uma árvore. E esse livro é um singelo resumo dos bons frutos que oMinistro André Mendonçatem produzido em toda sua vida, e naturalmente tem conquistado maior destaque e atenção agora. Pelo exposto, desejamos boa leitura aos que decidirem esmiuçar essas páginas. Certamente encontrarão preciosas pílulas de Direito e de Justiça, que lhes serão extremamente aprazíveis. Os organizadores, Ives Gandra FilhoJoão Daniel Silva.…

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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the placement task in analog integrated circuit layout design, by creating a generalized model that can generate valid layouts at push-button speed. Further, it exploits ANNs' generalization and push-button speed prediction (once fully trained) capabilities, and details the optimal description of the input/output data relation. The description developed here is chiefly reflected in two of the system's characteristics: the shape of the input data and the minimized loss function. In order to address the latter, abstract and segmented descriptions of both the input data and the objective behavior are developed, which allow the model to identify, in newer scenarios, sub-blocks which can be found in the input data. This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of these descriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies. In the experimental results chapter, the trained ANNs are used to produce a variety of valid placement solutions even beyond the scope of the training/validation sets, demonstrating the model's effectiveness in terms of identifying common components between newer topologies and reutilizing the acquired knowledge. Lastly, the methodology used can readily adapt to the given problem's context (high label production cost), resulting in an efficient, inexpensive and fast model. 104 pp. Englisch.…

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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Describes the advances achieved in the field of machine learning and electronic design automation for analog IC Presents innovative research on the use of artificial neural networks (ANNs) Details the optimal description of the input/o.…

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, innovative research using artificial neural networks (ANNs) is conducted to automate the placement task in analog integrated circuit layout design, by creating a generalized model that can generate valid layouts at push-button speed. Further, it exploits ANNs' generalization and push-button speed prediction (once fully trained) capabilities, and details the optimal description of the input/output data relation. The description developed here is chiefly reflected in two of the system's characteristics: the shape of the input data and the minimized loss function. In order to address the latter, abstract and segmented descriptions of both the input data and the objective behavior are developed, which allow the model to identify, in newer scenarios, sub-blocks which can be found in the input data. This approach yields device-level descriptions of the input topology that, for each device, focus on describing its relation to every other device in the topology. By means of thesedescriptions, an unfamiliar overall topology can be broken down into devices that are subject to the same constraints as a device in one of the training topologies.In the experimental results chapter, the trained ANNs are used to produce a variety of valid placement solutions even beyond the scope of the training/validation sets, demonstrating the model's effectiveness in terms of identifying common components between newer topologies and reutilizing the acquired knowledge. Lastly, the methodology used can readily adapt to the given problem's context (high label production cost), resulting in an efficient, inexpensive and fast model.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 104 pp. Englisch.…

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