1.

Record Nr.

UNIBAS000001351

Autore

Corso, Raffaele

Titolo

Reviviscenze : Studi di tradizioni popolari italiane / Raffaele Corso

Pubbl/distr/stampa

Catania : <<Libreria>> Tirelli di F. Guaitolini, 1927 ( (Catania), via Leotta N. 19-21 : Tip. Zuccarello & Izzi

Descrizione fisica

124 p. ; 25 cm

Soggetti

Folklore

Lingua di pubblicazione

Italiano

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Indice ed errata corrige alla fine del testo

Nota di contenuto

Dedica, p.V. Introduzione, p.VII-X. Per lo studio dei pregiudizi sessuali del popolo italiano, p.1-13. La gravidanza, i nei materni e il puerperio del marito, p.15-33. Come si cura in campagna l'ernia dei bambini, p.35-47. Il bacio nel canto popolare italiano, p.49-60. Le tre notti della castità, p.61-69. Tre vecchie costumanze aretine, p.71-83. La moneta nuziale, p.85-101. Meglio impiccato, che male ammogliato, p.103-114. Perchè l'uomo si sposa ad una pianta, p.115-124



2.

Record Nr.

UNINA9910624376303321

Titolo

Near-sensor and In-sensor Computing / / edited by Yang Chai, Fuyou Liao

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022

ISBN

9783031115066

3031115066

Edizione

[1st ed. 2022.]

Descrizione fisica

1 online resource (237 pages)

Collana

Computer Science Series

Disciplina

006.22

Soggetti

Electronic circuits

Cooperating objects (Computer systems)

Solid state physics

Electronic Circuits and Systems

Cyber-Physical Systems

Electronic Devices

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Introduction (Fundamentals of near-/in-sensor computing) -- Neuromorphic vision sensors I -- Neuromorphic vision sensors Ⅱ -- Neuromorphic audio sensors -- Neuromorphic pressure sensors -- Neuromorphic chemical sensors -- Reconfigurable neural networks -- Convolutional neural networks -- Spike neural networks -- Integration technology of near-/in-sensor computing.

Sommario/riassunto

This book provides a detailed introduction to near-sensor and in-sensor computing paradigms, their working mechanisms, development trends and future directions. The authors also provide a comprehensive review of current progress in this area, analyze existing challenges in the field, and offer possible solutions. Readers will benefit from the discussion of computing approaches that intervene in the vicinity of or inside sensory networks to help process data more efficiently, decreasing power consumption and reducing the transfer of redundant data between sensing and processing units. Provides readers with a detailed introduction to the near-sensor and in-sensor computing



paradigms; Includes in-depth and comprehensive summaries of the state-of-the-art development in this field; Discusses and compares various neuromorphic sensors and neural networks: Describes integration technology for near-/in-sensor computing; Reveals the relationship between near-/in-sensor computing and other computing paradigms, such as neuromorphic computing, edge computing, intuitive computing, and in-memory computing.