Jingyu Wu, Mohan Wang, Kehao Zhao, Rongtao Cao, D. Carpenter, G. Zheng, S. Rountree, Kevin P. Chen
{"title":"In-core Temperature Forecasting by Random Forest Modeling in Extreme Harsh Environment","authors":"Jingyu Wu, Mohan Wang, Kehao Zhao, Rongtao Cao, D. Carpenter, G. Zheng, S. Rountree, Kevin P. Chen","doi":"10.1364/sensors.2022.sm1c.5","DOIUrl":"https://doi.org/10.1364/sensors.2022.sm1c.5","url":null,"abstract":"This paper proposed accurate in-core distributed temperature predictions by random forest modeling based on optical measurements. The prediction error is within 3.6% of the temperature swing in the extremely harsh environment.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122305965","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Shuo Li, Shin‐ichiro Sato, D. Simpson, T. Ohshima, A. Greentree, B. Gibson
{"title":"Nanopillar structures for enhanced dipole emission","authors":"Shuo Li, Shin‐ichiro Sato, D. Simpson, T. Ohshima, A. Greentree, B. Gibson","doi":"10.1364/sensors.2022.sm4c.4","DOIUrl":"https://doi.org/10.1364/sensors.2022.sm4c.4","url":null,"abstract":"Nanoscale pillars are important for tailoring optical emission from nanoscale emitters. Here we consider nano pillar geometries designed to enhance photon extraction efficiency from quantum photons sources such as lanthanoid-doped gallium nitride and nitrogen-vacancy centres in diamond.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"100 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132028465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
O. Olusoji, W. Kam, Xin Cheng, P. Woulfe, H. Tam, S. O’Keeffe
{"title":"Towards Online Monitoring of Radiation Dose with TS-doped PMMA Fibre","authors":"O. Olusoji, W. Kam, Xin Cheng, P. Woulfe, H. Tam, S. O’Keeffe","doi":"10.1364/sensors.2022.sm1c.1","DOIUrl":"https://doi.org/10.1364/sensors.2022.sm1c.1","url":null,"abstract":"Doping of polymethyl-methacrylate (PMMA) polymer optical fibre (POF) with Trans-4-stilbenemethanol (TS) increases the sensitivity to radiation by a factor of over two. The potential of step index TS doped PMMA POF for online radiation monitoring is reported.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":" 39","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132159633","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alberto Alonso Romero, K. Amouzou, Andréane Richard-Denis, J. Mac-Thiong, Y. Petit, J. Lina, B. Ung
{"title":"Development of a Wearable Optoelectronic Pressure Sensor Based on the Bending Loss of Plastic Optical Fiber and Polydimethylsiloxane","authors":"Alberto Alonso Romero, K. Amouzou, Andréane Richard-Denis, J. Mac-Thiong, Y. Petit, J. Lina, B. Ung","doi":"10.1364/sensors.2022.stu4c.3","DOIUrl":"https://doi.org/10.1364/sensors.2022.stu4c.3","url":null,"abstract":"We designed and demonstrated a PDMS-based flexible pressure sensor based on plastic optical fibers for measuring pressures up to 3820 mmHg with good repeatability. Its potential applications include wearable sensors for prevention of pressure injuries.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128030717","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Gaoxuan Wang, Ruyue Cui, A. Yalin, Lingshuo Meng, Qian Gou, C. Coeur, L. Dong, Weidong Chen
{"title":"Prism-based Cavity Enhanced Absorption Spectroscopy for Broadband Trace Gas Sensing","authors":"Gaoxuan Wang, Ruyue Cui, A. Yalin, Lingshuo Meng, Qian Gou, C. Coeur, L. Dong, Weidong Chen","doi":"10.1364/lacsea.2022.lth5e.4","DOIUrl":"https://doi.org/10.1364/lacsea.2022.lth5e.4","url":null,"abstract":"We report on the recent development of a novel optical cavity based on prisms as cavity reflectors, which offers a high-finesse optical cavity operating in a broadband spectral region from 400 to 1600 nm.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133556726","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Comby, D. Descamps, S. Petit, V. Blanchet, Y. Mairesse
{"title":"Fast optical determination of enantiomeric excess using photoelectron elliptical dichroism","authors":"A. Comby, D. Descamps, S. Petit, V. Blanchet, Y. Mairesse","doi":"10.1364/lacsea.2022.lth4e.3","DOIUrl":"https://doi.org/10.1364/lacsea.2022.lth4e.3","url":null,"abstract":"We present a solution based on intense laser-matter interaction that is able to determine quickly and accurately the enantiomeric excess (99.8% accuracy in 3 min) for a large set of chiral chemical sample.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130912188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Andrei Isichenko, Nitesh Chauhan, D. Bose, P. Kunz, D. Blumenthal
{"title":"Cooling rubidium atoms with a photonic integrated 3D magneto-optical trap","authors":"Andrei Isichenko, Nitesh Chauhan, D. Bose, P. Kunz, D. Blumenthal","doi":"10.1364/sensors.2022.stu4g.6","DOIUrl":"https://doi.org/10.1364/sensors.2022.stu4g.6","url":null,"abstract":"We demonstrate an integrated photonics infrastructure for atomic laser cooling. We trap 5 x 106 87Rb atoms in a magneto-optical trap using free-space cooling beams emitted from a SiN photonic integrated circuit.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125107929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Single-molecule DNA sensing via plasmon enhanced fluorescence","authors":"V. Lamberti, Mathias Dolci, P. Zijlstra","doi":"10.1364/sensors.2022.sw3e.4","DOIUrl":"https://doi.org/10.1364/sensors.2022.sw3e.4","url":null,"abstract":"We demonstrate a single-molecule DNA sensor that employs plasmon-enhanced fluorescence combined with a sandwich assay. We quantify the dynamic range and detection limit of this new sensor, and discuss future applications.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121393777","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yangmin Ding, Yue Tian, S. Ozharar, Zhuocheng Jiang, Ting Wang
{"title":"Rain Intensity Detection and Classification with Pre-existing Telecom Fiber Cables","authors":"Yangmin Ding, Yue Tian, S. Ozharar, Zhuocheng Jiang, Ting Wang","doi":"10.1364/sensors.2022.sm2c.7","DOIUrl":"https://doi.org/10.1364/sensors.2022.sm2c.7","url":null,"abstract":"For the first time, we demonstrate detection and classification of rain intensity using Distributed Acoustic Sensing (DAS). An artificial neural network was applied for rain intensity classification and high precision of over 96% was achieved.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116177430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ryan E. Pinson, Phillip R. Jenkin, Andrew V. Giminaro, A. Patnaik
{"title":"Evaluating Spectroscopic Data Fusion for Environmental Conditioning of Lithium Hydride Using Machine Learning","authors":"Ryan E. Pinson, Phillip R. Jenkin, Andrew V. Giminaro, A. Patnaik","doi":"10.1364/lacsea.2022.lf1c.4","DOIUrl":"https://doi.org/10.1364/lacsea.2022.lf1c.4","url":null,"abstract":"Using LIBS and Raman spectroscopy, LiH reactions with moisture and temperature are known. Humidity and temperature condition were studied using multivariate modeling. These resulting defects were used to characterize the environments of these reactions.","PeriodicalId":231405,"journal":{"name":"Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES)","volume":"127 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122501425","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}