Towards on-node Machine Learning for Ultra-low-power Sensors Using Asynchronous Σ Δ Streams

ACM Journal on Emerging Technologies in Computing Systems ◽

10.1145/3404975 ◽

2020 ◽

Vol 16 (4) ◽

pp. 1-20

Author(s):

Patricia Gonzalez-Guerrero ◽

Tommy Tracy II ◽

Xinfei Guo ◽

Rahul Sreekumar ◽

Marzieh Lenjani ◽

...

Keyword(s):

Machine Learning ◽

Low Power ◽

Ultra Low Power

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Machine Learning Oriented Resource Allocation to Achieve Ultra Low Power, Low Latency and High Reliability Vehicular Communication Networks

2020 IEEE 17th India Council International Conference (INDICON) ◽

10.1109/indicon49873.2020.9342584 ◽

2020 ◽

Author(s):

Sasweth C Rajanarayanan ◽

Rohit Misra ◽

Rahul Jashvantbhai Pandya

Keyword(s):

Machine Learning ◽

Resource Allocation ◽

Low Power ◽

Communication Networks ◽

High Reliability ◽

Low Latency ◽

Vehicular Communication ◽

Ultra Low Power ◽

Vehicular Communication Networks

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From algorithms to devices: Enabling machine learning through ultra-low-power VLSI mixed-signal array processing

2017 IEEE Custom Integrated Circuits Conference (CICC) ◽

10.1109/cicc.2017.7993650 ◽

2017 ◽

Author(s):

Siddharth Joshi ◽

Chul Kim ◽

Sohmyung Ha ◽

Gert Cauwenberghs

Keyword(s):

Machine Learning ◽

Low Power ◽

Array Processing ◽

Ultra Low Power ◽

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Exploration of Design Space and Runtime Optimization for Affective Computing in Machine Learning Empowered Ultra-Low Power SoC

2020 57th ACM/IEEE Design Automation Conference (DAC) ◽

10.1109/dac18072.2020.9218583 ◽

2020 ◽

Author(s):

Yijie Wei ◽

Kofi Otseidu ◽

Jie Gu

Keyword(s):

Machine Learning ◽

Low Power ◽

Affective Computing ◽

Design Space ◽

Ultra Low Power ◽

Runtime Optimization

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SSCS-Singapore Holds Distinguished Lecture on Enabling and Exploiting: Machine Learning in Ultra-Low-Power Devices by Prof. Naveen Verma [Chapters]

IEEE Solid-State Circuits Magazine ◽

10.1109/mssc.2017.2746170 ◽

2017 ◽

Vol 9 (4) ◽

pp. 112-113

Author(s):

Jiang Wenyu

Keyword(s):

Machine Learning ◽

Low Power ◽

Power Devices ◽

Ultra Low Power ◽

Ultra Low Power Devices

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NCS based ultra low power optimized machine learning techniques for image classification

2019 IEEE Region 10 Symposium (TENSYMP) ◽

10.1109/tensymp46218.2019.8971238 ◽

2019 ◽

Author(s):

Naman Tiwari ◽

Koushik Mondal

Keyword(s):

Machine Learning ◽

Low Power ◽

Image Classification ◽

Machine Learning Techniques ◽

Ultra Low Power ◽

Learning Techniques

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Optimal resource usage in ultra-low-power sensor interfaces through context- and resource-cost-aware machine learning

Neurocomputing ◽

10.1016/j.neucom.2014.11.077 ◽

2015 ◽

Vol 169 ◽

pp. 236-245 ◽

Author(s):

Steven Lauwereins ◽

Komail Badami ◽

Wannes Meert ◽

Marian Verhelst

Keyword(s):

Machine Learning ◽

Low Power ◽

Resource Usage ◽

Ultra Low Power ◽

Optimal Resource ◽

Resource Cost ◽

Power Sensor ◽

Sensor Interfaces

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Ultra Low Power Bioelectronics

10.1017/cbo9780511841446 ◽

2009 ◽

Author(s):

Rahul Sarpeshkar

Keyword(s):

Low Power ◽

Ultra Low Power

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An Ultra-low Power Consumption MAC Protocol Complied with IEEE 802.15.4/4e for Wireless Smart Utility Networks

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.136.1555 ◽

2016 ◽

Vol 136 (11) ◽

pp. 1555-1566 ◽

Author(s):

Jun Fujiwara ◽

Hiroshi Harada ◽

Takuya Kawata ◽

Kentaro Sakamoto ◽

Sota Tsuchiya ◽

...

Keyword(s):

Power Consumption ◽

Low Power ◽

Ieee 802.15.4 ◽

Mac Protocol ◽

Low Power Consumption ◽

Ultra Low Power

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An Ultra Low Power and Variation Tolerant GEN2 RFID Tag Front-End with Novel Clock-Free Decoder

IEICE Transactions on Electronics ◽

10.1587/transele.e93.c.785 ◽

2010 ◽

Vol E93-C (6) ◽

pp. 785-795

Author(s):

Sung-Jin KIM ◽

Minchang CHO ◽

SeongHwan CHO

Keyword(s):

Low Power ◽

Ultra Low Power ◽

Rfid Tag ◽

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Ultra low power consumption design of electronic tag

JOURNAL OF ELECTRONIC MEASUREMENT AND INSTRUMENT ◽

10.3724/sp.j.1187.2010.00979 ◽

2010 ◽

Vol 24 (10) ◽

pp. 979-984

Author(s):

Gang Huang ◽

Xiaoyan Lei

Keyword(s):

Power Consumption ◽

Low Power ◽

Low Power Consumption ◽

Ultra Low Power ◽

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