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Title: Optoelectronic memristive devices for optical reservoir computing
Authors: Toh, Sio Huan
Keywords: Engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Toh, S. H. (2023). Optoelectronic memristive devices for optical reservoir computing. Final Year Project (FYP), Nanyang Technological University, Singapore.
Abstract: The current frame-based cameras employ various components such as sensors, signal converters, memory, and processors to analyze extensive frame-by-frame image sequences for motion recognition and prediction. This produces extensive redundant image data that cause the current machine vision system to face challenges related to high latency and power consumption. While addressing these concerns, it sparks the growing interest in creating cameras that emulate the functionalities of the human retina that is designed to solely detect and encode alterations in the visual scene, akin to its biological counterpart. Through the use of Reservoir Computing we are able to reduce the time taken to process data. By using the Physical Reservoir Computing using the physical dynamics of physical object to replace the reservoir.
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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