Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods

Myeong Hun Jeong, Clair J. Sullivan, Michael Cheng, Shaowen Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Location-Aware mobile sensors have fundamentally changed the ways radiation levels are detected and tracked. These changes have raised many exciting research questions related to nuclear forensics. This paper investigates the relationship between a mobile sensors' velocity and radiation counts. The study compares the correlations of the sensors' velocity and measurment radiation counts with a source or without a source. Geographically weighted approaches such as a moving kernel are used to identify regional variations in the relationship between variables. The experimental results present that there is a negative correlation between sensors' velocity and radiation counts with a source, while there is no statistically significant correlation without a source. These results can be used to decrease false alarm rates in a geotagged sensor network. copy; 2016 IEEE.

Original languageEnglish (US)
Title of host publication2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509016426
DOIs
StatePublished - Oct 16 2017
Event2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 - Strasbourg, France
Duration: Oct 29 2016Nov 6 2016

Publication series

Name2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
Volume2017-January

Other

Other2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016
CountryFrance
CityStrasbourg
Period10/29/1611/6/16

Fingerprint

Radiation
optimization
sensors
Sensors
radiation
Sensor networks
false alarms
Research

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging
  • Instrumentation
  • Nuclear and High Energy Physics
  • Electronic, Optical and Magnetic Materials

Cite this

Jeong, M. H., Sullivan, C. J., Cheng, M., & Wang, S. (2017). Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016 [8069703] (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; Vol. 2017-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/NSSMIC.2016.8069703

Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods. / Jeong, Myeong Hun; Sullivan, Clair J.; Cheng, Michael; Wang, Shaowen.

2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. 8069703 (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016; Vol. 2017-January).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jeong, MH, Sullivan, CJ, Cheng, M & Wang, S 2017, Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods. in 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016., 8069703, 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016, vol. 2017-January, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016, Strasbourg, France, 10/29/16. https://doi.org/10.1109/NSSMIC.2016.8069703
Jeong MH, Sullivan CJ, Cheng M, Wang S. Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods. In 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc. 2017. 8069703. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016). https://doi.org/10.1109/NSSMIC.2016.8069703
Jeong, Myeong Hun ; Sullivan, Clair J. ; Cheng, Michael ; Wang, Shaowen. / Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods. 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. (2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016).
@inproceedings{b644187b53654ec5a73d929d316067a5,
title = "Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods",
abstract = "Location-Aware mobile sensors have fundamentally changed the ways radiation levels are detected and tracked. These changes have raised many exciting research questions related to nuclear forensics. This paper investigates the relationship between a mobile sensors' velocity and radiation counts. The study compares the correlations of the sensors' velocity and measurment radiation counts with a source or without a source. Geographically weighted approaches such as a moving kernel are used to identify regional variations in the relationship between variables. The experimental results present that there is a negative correlation between sensors' velocity and radiation counts with a source, while there is no statistically significant correlation without a source. These results can be used to decrease false alarm rates in a geotagged sensor network. copy; 2016 IEEE.",
author = "Jeong, {Myeong Hun} and Sullivan, {Clair J.} and Michael Cheng and Shaowen Wang",
year = "2017",
month = "10",
day = "16",
doi = "10.1109/NSSMIC.2016.8069703",
language = "English (US)",
series = "2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016",
address = "United States",

}

TY - GEN

T1 - Minimization of the impact of sensor velocity on the probability of source detection using geographically weighted methods

AU - Jeong, Myeong Hun

AU - Sullivan, Clair J.

AU - Cheng, Michael

AU - Wang, Shaowen

PY - 2017/10/16

Y1 - 2017/10/16

N2 - Location-Aware mobile sensors have fundamentally changed the ways radiation levels are detected and tracked. These changes have raised many exciting research questions related to nuclear forensics. This paper investigates the relationship between a mobile sensors' velocity and radiation counts. The study compares the correlations of the sensors' velocity and measurment radiation counts with a source or without a source. Geographically weighted approaches such as a moving kernel are used to identify regional variations in the relationship between variables. The experimental results present that there is a negative correlation between sensors' velocity and radiation counts with a source, while there is no statistically significant correlation without a source. These results can be used to decrease false alarm rates in a geotagged sensor network. copy; 2016 IEEE.

AB - Location-Aware mobile sensors have fundamentally changed the ways radiation levels are detected and tracked. These changes have raised many exciting research questions related to nuclear forensics. This paper investigates the relationship between a mobile sensors' velocity and radiation counts. The study compares the correlations of the sensors' velocity and measurment radiation counts with a source or without a source. Geographically weighted approaches such as a moving kernel are used to identify regional variations in the relationship between variables. The experimental results present that there is a negative correlation between sensors' velocity and radiation counts with a source, while there is no statistically significant correlation without a source. These results can be used to decrease false alarm rates in a geotagged sensor network. copy; 2016 IEEE.

UR - http://www.scopus.com/inward/record.url?scp=85041704787&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85041704787&partnerID=8YFLogxK

U2 - 10.1109/NSSMIC.2016.8069703

DO - 10.1109/NSSMIC.2016.8069703

M3 - Conference contribution

AN - SCOPUS:85041704787

T3 - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016

BT - 2016 IEEE Nuclear Science Symposium, Medical Imaging Conference and Room-Temperature Semiconductor Detector Workshop, NSS/MIC/RTSD 2016

PB - Institute of Electrical and Electronics Engineers Inc.

ER -