Nanowatt analog circuit design for edge artificial intelligence

Internet of Things (IoT) and Artificial Intelligence (AI) has been in a rising trend, and has led to innovation, such as Artificial Intelligence Internet of Things (AIoT). Edge devices, commonly used for data collection, requires to be always turned-on. Often, power consumption is a key factor in AI...

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Main Author: Sin, Siong Chew
Other Authors: Goh Wang Ling
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2023
Subjects:
Online Access:https://hdl.handle.net/10356/167125
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1671252023-07-07T17:46:44Z Nanowatt analog circuit design for edge artificial intelligence Sin, Siong Chew Goh Wang Ling School of Electrical and Electronic Engineering IME, A*STAR EWLGOH@ntu.edu.sg Engineering::Electrical and electronic engineering Internet of Things (IoT) and Artificial Intelligence (AI) has been in a rising trend, and has led to innovation, such as Artificial Intelligence Internet of Things (AIoT). Edge devices, commonly used for data collection, requires to be always turned-on. Often, power consumption is a key factor in AIoT as devices are operated by batteries. Event triggered edge devices consist of a sensor, for sensing purposes. Comparator makes up the key architecture. Since the AIoT devices are event trigger, power consumption should be as low as possible. However, this degrades the performance of the devices. In this project, a nanowatt power consumption comparator is designed operating in standby mode. To ensure that device also operate even due to noise, hysteresis will also be implemented in the design. Comparator designed consumed a static power consumption of 51.67nW and have a hysteresis voltage of ±5mV. Maximum bandwidth of comparator is 1kHz. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-23T02:29:11Z 2023-05-23T02:29:11Z 2023 Final Year Project (FYP) Sin, S. C. (2023). Nanowatt analog circuit design for edge artificial intelligence. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167125 https://hdl.handle.net/10356/167125 en B2290-221 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Sin, Siong Chew
Nanowatt analog circuit design for edge artificial intelligence
description Internet of Things (IoT) and Artificial Intelligence (AI) has been in a rising trend, and has led to innovation, such as Artificial Intelligence Internet of Things (AIoT). Edge devices, commonly used for data collection, requires to be always turned-on. Often, power consumption is a key factor in AIoT as devices are operated by batteries. Event triggered edge devices consist of a sensor, for sensing purposes. Comparator makes up the key architecture. Since the AIoT devices are event trigger, power consumption should be as low as possible. However, this degrades the performance of the devices. In this project, a nanowatt power consumption comparator is designed operating in standby mode. To ensure that device also operate even due to noise, hysteresis will also be implemented in the design. Comparator designed consumed a static power consumption of 51.67nW and have a hysteresis voltage of ±5mV. Maximum bandwidth of comparator is 1kHz.
author2 Goh Wang Ling
author_facet Goh Wang Ling
Sin, Siong Chew
format Final Year Project
author Sin, Siong Chew
author_sort Sin, Siong Chew
title Nanowatt analog circuit design for edge artificial intelligence
title_short Nanowatt analog circuit design for edge artificial intelligence
title_full Nanowatt analog circuit design for edge artificial intelligence
title_fullStr Nanowatt analog circuit design for edge artificial intelligence
title_full_unstemmed Nanowatt analog circuit design for edge artificial intelligence
title_sort nanowatt analog circuit design for edge artificial intelligence
publisher Nanyang Technological University
publishDate 2023
url https://hdl.handle.net/10356/167125
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