Award Abstract # 2043017
Collaborative Research: IIBR Multidisciplinary: mSAIL (Michigan Small Animal Integrated Logger): a milligram-scale, multi-modal sensor and analytics monitoring platform

NSF Org: DBI
Division of Biological Infrastructure
Recipient: UNIVERSITY OF PITTSBURGH - OF THE COMMONWEALTH SYSTEM OF HIGHER EDUCATION
Initial Amendment Date: April 9, 2021
Latest Amendment Date: May 20, 2021
Award Number: 2043017
Award Instrument: Standard Grant
Program Manager: Eric Lyons
erlyons@nsf.gov
 (703)292-0000
DBI
 Division of Biological Infrastructure
BIO
 Directorate for Biological Sciences
Start Date: April 15, 2021
End Date: March 31, 2025 (Estimated)
Total Intended Award Amount: $172,263.00
Total Awarded Amount to Date: $172,263.00
Funds Obligated to Date: FY 2021 = $172,263.00
History of Investigator:
  • In Hee Lee (Principal Investigator)
    inhee.lee@pitt.edu
Recipient Sponsored Research Office: University of Pittsburgh
4200 FIFTH AVENUE
PITTSBURGH
PA  US  15260-0001
(412)624-7400
Sponsor Congressional District: 12
Primary Place of Performance: University of Pittsburgh
Pittsburgh
PA  US  15260-0001
Primary Place of Performance
Congressional District:
12
Unique Entity Identifier (UEI): MKAGLD59JRL1
Parent UEI:
NSF Program(s): Innovation: Instrumentation,
Animal Behavior
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 9179
Program Element Code(s): 165Y00, 765900
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

An award is made to the University of Michigan and the University of Pittsburgh to develop and demonstrate a new logger and analytics platform for small terrestrial animal monitoring called mSAIL (Michigan Small Animal Integrated Logger). mSAIL is a millimeter-scale miniaturized tag attached to animals to record, store, and relay environmental, physiological, and behavioral data. This information is critical not only for a richer mechanistic understanding of animal and ecosystem function, but also in order to predict how these systems will change as Earth?s climate changes. This research and resulting technology will have a significant broad impact such as engaging the public and raising scientific literacy because the machine learning algorithms for mSAIL will be trained using real-world data collected by community volunteers. As well, this work will provide substantial mentoring and training opportunities for diverse participants in a cross-disciplinary environment.

This research program tackles technical challenges for developing and applying millimeter-scale data loggers with improved information processing and visualization. The program aims to build a 50 mg millimeter-scale mSAIL device that 1) simultaneously measures light intensity, temperature, air pressure, and acceleration, 2) stores the recorded data in non-volatile memory, and 3) wirelessly communicates collected data. An integrated, chip-size battery will support device operation for one month and an energy-harvesting photovoltaic cell will provide essentially perpetual operation with as little as 500 lux light level. Using mSAIL, increasingly complex datasets that simultaneously document animal behavior and environment will be acquired from an expanded repertoire of species, down to those of sub-gram weight. mSAIL will spur cross-disciplinary collaborations to address a range of problems including the impact of anthropogenic environmental change (e.g. light pollution) on wildlife and the long-range migration of small animals such as monarch butterflies. This award is co-funded with support from the Animal Behavior Program in the Division of Integrative Organismal Systems.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Agarwal, Samriddhi and Yerragudi, Shameer Basha and Dasari, Naveen and Lee, Inhee and Abbas, Zia "An 18.5nW, 62.9dB PSRR, Switched-Capacitor Bandgap Voltage Reference using Low Power Clock Generator Circuit for Biomedical Applications" IEEE International Symposium on Circuits and Systems proceedings , 2023 https://doi.org/10.1109/ISCAS46773.2023.10181473 Citation Details
Dey, Arnab and Lee, Inhee and Ali, Ashfakh and Jain, Arpan and Pullela, Abhishek and Abbas, Zia "A 162nW, 0.845pJ/step Resistance-to-Digital Converter for Miniature Battery-Powered Sensing Systems" IEEE International Symposium on Circuits and Systems proceedings , 2023 https://doi.org/10.1109/ISCAS46773.2023.10181881 Citation Details
Huluvallay, Ashfakh and Pullela, Abhishek and Hamed, Ehab A. and Jain, Arpan and Dasari, Naveen and Abbas, Zia and Lee, Inhee "A 7 nW, 1 kHz, 40170°C Relaxation Oscillator with Switch-Leakage Compensation for Low-Power High-Temperature IoT Systems" IEEE International Symposium on Circuits and Systems proceedings , 2023 https://doi.org/10.1109/ISCAS46773.2023.10181807 Citation Details
Jeong, Seokhyeon and Kim, Yejoong and Li, Yuyang and Lee, Inhee "A Millimeter-Scale Computing System with Adaptive Dynamic Load Power Tracking" 2021 IEEE Asian Solid-State Circuits Conference (A-SSCC) , 2021 https://doi.org/10.1109/A-SSCC53895.2021.9634758 Citation Details
Lee, Inhee and Hsiao, Roger and Carichner, Gordy and Hsu, Chin-Wei and Yang, Mingyu and Shoouri, Sara and Ernst, Katherine and Carichner, Tess and Li, Yuyang and Lim, Jaechan and Julick, Cole R. and Moon, Eunseong and Sun, Yi and Phillips, Jamie and Monto "mSAIL: milligram-scale multi-modal sensor platform for monarch butterfly migration tracking" International Conference On Mobile Computing And Networking , 2021 https://doi.org/10.1145/3447993.3483263 Citation Details
Lee, Inhee and Hsiao, Roger and Carichner, Gordy and Hsu, Chin-Wie and Yang, Mingyu and Shoouri, Sara and Ernst, Katherine and Carichner, Tess and Li, Yuyang and Lim, Jaechan and Julick, Cole R. and Moon, Eunseong and Sun, Yi and Phillips, Jamie and Monto "Tracking the Migration of the Monarch Butterflies with the World's Smallest Computer" GetMobile: Mobile Computing and Communications , v.26 , 2022 https://doi.org/10.1145/3539668.3539677 Citation Details
Li, Yuyang and Kim, Yejoong and Moon, Eunseong and Gao, Yuxin and Phillips, Jamie and Lee, Inhee "An Energy Autonomous Light Intensity Sensor for Monarch Butterfly Migration Tracking" ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC) , 2021 https://doi.org/10.1109/ESSCIRC53450.2021.9567888 Citation Details
Li, Yuyang and Moon, Eunseong and Phillips, Jamie and Lee, Inhee "A Stacked-Photovoltaic-Cell Energy Harvester with >81% Indoor Light Harvesting Efficiency for Millimeter-Scale Energy-Autonomous Sensor Nodes" ESSCIRC 2021 - IEEE 47th European Solid State Circuits Conference (ESSCIRC) , 2021 https://doi.org/10.1109/ESSCIRC53450.2021.9567847 Citation Details
Sahishnavi, Bhartipudi and Kumar, Sampath and Ali, Ashfakh and Dey, Arnab and Lee, Inhee and Abbas, Zia "A 0.5V, pico-watt, 0.06%/V / 0.03%/V low supply sensitive current/voltage reference without using amplifiers and resistors" IEEE International Symposium on Circuits and Systems proceedings , 2023 https://doi.org/10.1109/ISCAS46773.2023.10181479 Citation Details

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