Memristor Platforms for Pattern Recognition Memristor Theory, Systems and Applications

Tipo di pubblicazione: Tesi di dottorato
Tipologia MIUR: Tesi di dottorato > Tesi di dottorato - Polito
Titolo: Memristor Platforms for Pattern Recognition Memristor Theory, Systems and Applications
Autori: Secco, Jacopo
Autori di ateneo:
Tutor: Fernando Corinto
Dottorato di ricerca: XXIX Ciclo > INGEGNERIA ELETTRONICA
Istituzione: Politecnico di Torino
Numero di pagine: 130
Abstract: In the last decade a large scientific community has focused on the study of the memristor. The memristor is thought to be by many the best alternative to CMOS technology, which is gradually showing its flaws. Transistor technology has developed fast both under a research and an industrial point of view, reducing the size of its elements to the nano-scale. It has been possible to generate more and more complex machinery and to communicate with that same machinery thanks to the development of programming languages based on combinations of boolean operands. Alas as shown by Moore's law, the steep curve of implementation and of development of CMOS is gradually reaching a plateau. It is clear the need of studying new elements that can combine the efficiency of transistors and at the same time increase the complexity of the operations. Memristors can be described as non-linear resistors capable of maintaining memory of the resistance state that they reached. From their first theoretical treatment by Professor Leon O. Chua in 1971, different research groups have devoted their expertise in studying the both the fabrication and the implementation of this new promising technology. In the following thesis a complete study on memristors and memristive elements is presented. The road map that characterizes this study departs from a deep understanding of the physics that govern memristors, focusing on the HP model by Dr. Stanley Williams. Other devices such as phase change memories (PCMs) and memristive biosensors made with Si nano-wires have been studied, developing emulators and equivalent circuitry, in order to describe their complex dynamics. This part sets the first milestone of a pathway that passes trough more complex implementations such as neuromorphic systems and neural networks based on memristors proving their computing efficiency. Finally it will be presented a memristror-based technology, covered by patent, demonstrating its efficacy for clinical applications. The presented system has been designed for detecting and assessing automatically chronic wounds, a syndrome that affects roughly 2% of the world population, through a Cellular Automaton which analyzes and processes digital images of ulcers. Thanks to its precision in measuring the lesions the proposed solution promises not only to increase healing rates, but also to prevent the worsening of the wounds that usually lead to amputation and death.
Data: 2017
Status: Pubblicato
Lingua della pubblicazione: Inglese
Parole chiave: phase change memries, perceptron, cellular automaton, cutaneous ulcers, memristor, neural networks, neuromorphic systems
Dipartimenti (originale): DET - Dipartimento di Elettronica e Telecomunicazioni
URL correlate:
    Area disciplinare: Area 09 - Ingegneria industriale e dell'informazione > ELETTRONICA
    Area 09 - Ingegneria industriale e dell'informazione > ELETTROTECNICA
    Data di deposito: 18 Set 2017 12:29
    Data ultima modifica (IRIS): 18 Set 2017 12:38:19
    Data inserimento (PORTO): 21 Set 2017 00:45
    Numero Identificativo (DOI): 10.6092/polito/porto/2680573


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