{"id":{"repo_id":"wustl","oai_identifier":"oai:openscholarship.wustl.edu:eng_etds-1552"},"canonical_url":"https://search.dev.ndltd.org/etd/wustl/oai:openscholarship.wustl.edu:eng_etds-1552","repository":{"repo_id":"wustl","name":"Washington University in St. Louis","base_url":"https://openscholarship.wustl.edu/do/oai/"},"display":{"title":"Embedded Sensing System for Whispering-Gallery-Mode Optical Resonators","abstract":"Whispering-gallery-mode (WGM) optical resonators in which light is confined by total internal reflection have found broad applications ranging from optical communications, microlasers, sensing, opto-mechanics to quantum optics. However, overcoming obstacles of practical applications for WGM resonators is absolutely a big challenge. First, we report the first realization of a compact WGM sensing system, which integrates a tunable laser, a current source, a temperature controller, a function generator, an oscilloscope, a photodiode detector, a testing computer with customized testing software, and a packaged WGM sensor into a phone-sized embedded system. Second, we deploy the WGM sensor in the Internet of things (IoT) sensor network. We demonstrate a WGM sensor based embedded IoT device. By connecting the Wi-Fi unit to the internet, a worldwide, real-time control of this system can be realized. We also conducted the aerial thermal mapping experiment by using this wireless sensing system. Third, we report a sensing model with high noise immunity using machine learning algorithm for WGM mode shift sensing. Furthermore, an artificial intelligence at the edge embedded device is designed for real-time inference of sensing results which is running the pre-trained neural network model. This platform is also integrated with a customized iOS application for system control and sensing result display via Wi-Fi antenna. Our algorithm and platform not only exhibit high noise immunity characteristics, but also potential flexibility in configuration for different sensing applications.","abstract_html":"Whispering-gallery-mode (WGM) optical resonators in which light is confined by total internal reflection have found broad applications ranging from optical communications, microlasers, sensing, opto-mechanics to quantum optics. However, overcoming obstacles of practical applications for WGM resonators is absolutely a big challenge. First, we report the first realization of a compact WGM sensing system, which integrates a tunable laser, a current source, a temperature controller, a function generator, an oscilloscope, a photodiode detector, a testing computer with customized testing software, and a packaged WGM sensor into a phone-sized embedded system. Second, we deploy the WGM sensor in the Internet of things (IoT) sensor network. We demonstrate a WGM sensor based embedded IoT device. By connecting the Wi-Fi unit to the internet, a worldwide, real-time control of this system can be realized. We also conducted the aerial thermal mapping experiment by using this wireless sensing system. Third, we report a sensing model with high noise immunity using machine learning algorithm for WGM mode shift sensing. Furthermore, an artificial intelligence at the edge embedded device is designed for real-time inference of sensing results which is running the pre-trained neural network model. This platform is also integrated with a customized iOS application for system control and sensing result display via Wi-Fi antenna. Our algorithm and platform not only exhibit high noise immunity characteristics, but also potential flexibility in configuration for different sensing applications.","abstract_has_math":false,"creators":["Xu, Xiangyi"],"institution":null,"degree_name":"Doctor of Philosophy (PhD)","degree_level":"Dissertation","degree_discipline":"Electrical & Systems Engineering","degree_department":null,"school":null,"contributors":["LAN YANG","Ulugbek Kamilov, Chuan Wang, Xuan Zhang, Shen Zeng,"],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2019,"date_issued":"2019-12-15T08:00:00Z","date_published":"2019-12-15T08:00:00Z","updated_at":"2026-07-24T06:13:31Z","subjects":["AI at the edge","Embedded System","The Internet of Things","Whispering-Gallery-Mode Optical Resonators","Engineering"],"languages":["English (en)"],"rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"rights_urls":[],"identifier_entries":[{"key":"dc:identifier","label":"Identifier","values":["https://openscholarship.wustl.edu/eng_etds/502"],"render_values":[{"text":"https://openscholarship.wustl.edu/eng_etds/502","href":"https://openscholarship.wustl.edu/eng_etds/502","code":true}]}]},"links":{"outbound_url":"https://doi.org/10.7936/zwxm-e933","outbound_label":"DOI","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["LAN YANG","Ulugbek Kamilov, Chuan Wang, Xuan Zhang, Shen Zeng,"]},{"key":"dc:creator","label":"Author","values":["Xu, Xiangyi"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.available","label":"Dc Date Available","values":["2119-12-15T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Electrical & Systems Engineering","McKelvey School of Engineering"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Doctor of Philosophy (PhD)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["AI at the edge","Embedded System","The Internet of Things","Whispering-Gallery-Mode Optical Resonators","Engineering"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["English (en)"]},{"key":"dc:rights","label":"Dc Rights","values":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://doi.org/10.7936/zwxm-e933","https://openscholarship.wustl.edu/eng_etds/502"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Permanent URL: https://doi.org/10.7936/zwxm-e933"]},{"key":"dc:description.abstract","label":"Abstract","values":["Whispering-gallery-mode (WGM) optical resonators in which light is confined by total internal reflection have found broad applications ranging from optical communications, microlasers, sensing, opto-mechanics to quantum optics. However, overcoming obstacles of practical applications for WGM resonators is absolutely a big challenge. First, we report the first realization of a compact WGM sensing system, which integrates a tunable laser, a current source, a temperature controller, a function generator, an oscilloscope, a photodiode detector, a testing computer with customized testing software, and a packaged WGM sensor into a phone-sized embedded system. Second, we deploy the WGM sensor in the Internet of things (IoT) sensor network. We demonstrate a WGM sensor based embedded IoT device. By connecting the Wi-Fi unit to the internet, a worldwide, real-time control of this system can be realized. We also conducted the aerial thermal mapping experiment by using this wireless sensing system. Third, we report a sensing model with high noise immunity using machine learning algorithm for WGM mode shift sensing. Furthermore, an artificial intelligence at the edge embedded device is designed for real-time inference of sensing results which is running the pre-trained neural network model. This platform is also integrated with a customized iOS application for system control and sensing result display via Wi-Fi antenna. Our algorithm and platform not only exhibit high noise immunity characteristics, but also potential flexibility in configuration for different sensing applications."]},{"key":"dc:title","label":"Title","values":["Embedded Sensing System for Whispering-Gallery-Mode Optical Resonators"]}]}],"canonical_facts":{"dc:contributor":["LAN YANG","Ulugbek Kamilov, Chuan Wang, Xuan Zhang, Shen Zeng,"],"dc:creator":["Xu, Xiangyi"],"dc:date.available":["2119-12-15T08:00:00Z"],"dc:description":["Permanent URL: https://doi.org/10.7936/zwxm-e933"],"dc:description.abstract":["Whispering-gallery-mode (WGM) optical resonators in which light is confined by total internal reflection have found broad applications ranging from optical communications, microlasers, sensing, opto-mechanics to quantum optics. However, overcoming obstacles of practical applications for WGM resonators is absolutely a big challenge. First, we report the first realization of a compact WGM sensing system, which integrates a tunable laser, a current source, a temperature controller, a function generator, an oscilloscope, a photodiode detector, a testing computer with customized testing software, and a packaged WGM sensor into a phone-sized embedded system. Second, we deploy the WGM sensor in the Internet of things (IoT) sensor network. We demonstrate a WGM sensor based embedded IoT device. By connecting the Wi-Fi unit to the internet, a worldwide, real-time control of this system can be realized. We also conducted the aerial thermal mapping experiment by using this wireless sensing system. Third, we report a sensing model with high noise immunity using machine learning algorithm for WGM mode shift sensing. Furthermore, an artificial intelligence at the edge embedded device is designed for real-time inference of sensing results which is running the pre-trained neural network model. This platform is also integrated with a customized iOS application for system control and sensing result display via Wi-Fi antenna. Our algorithm and platform not only exhibit high noise immunity characteristics, but also potential flexibility in configuration for different sensing applications."],"dc:identifier":["https://doi.org/10.7936/zwxm-e933","https://openscholarship.wustl.edu/eng_etds/502"],"dc:language":["English (en)"],"dc:rights":["I have not registered my thesis with the U.S. Copyright Office, and do not intend to."],"dc:subject":["AI at the edge","Embedded System","The Internet of Things","Whispering-Gallery-Mode Optical Resonators","Engineering"],"dc:title":["Embedded Sensing System for Whispering-Gallery-Mode Optical Resonators"],"thesis:degree_discipline":["Electrical & Systems Engineering","McKelvey School of Engineering"],"thesis:degree_level":["Dissertation"],"thesis:degree_name":["Doctor of Philosophy (PhD)"]},"updated_at":"2026-07-24T06:13:31Z"}