Integrating machine learning in embedded sensor systems for Internet-of-Things applications

Published on Dec 1, 2016 in ISSPIT (International Symposium on Signal Processing and Information Technology)
· DOI :10.1109/ISSPIT.2016.7886051
Jongmin Lee3
Estimated H-index: 3
(ASU: Arizona State University),
Michael Stanley1
Estimated H-index: 1
(NXP Semiconductors)
+ 1 AuthorsCihan Tepedelenlioglu26
Estimated H-index: 26
(ASU: Arizona State University)
Interpreting sensor data in Internet-of-Things applications is a challenging problem particularly in embedded systems. We consider sensor data analytics where machine learning algorithms can be fully implemented on an embedded processor/sensor board. We develop an efficient real-time realization of a Gaussian mixture model (GMM) for execution on the NXP FRDM-K64F embedded sensor board. We demonstrate the design of a customized program and data structure that generates real-time sensor features, and we show details and training/classification results for select IoT applications. The integrated hardware/software system enables real-time data analytics and continuous training and re-training of the machine learning (ML) algorithm. The real-time ML platform can accommodate several applications with lower sensor data traffic.
  • References (52)
  • Citations (3)
Nov 1, 2016 in ASILOMAR (Asilomar Conference on Signals, Systems and Computers)
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#2Pavan K. TuragaH-Index: 21
Last.Cihan TepedelenliogluH-Index: 26
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#1Henry Braun (ASU: Arizona State University)H-Index: 4
#2Santoshi T. Buddha (ASU: Arizona State University)H-Index: 3
Last.Devarajan Srinivasan (ASU: Arizona State University)H-Index: 2
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Apr 1, 2016 in MELECON (Mediterranean Electrotechnical Conference)
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#2David Ramirez Dominguez (ASU: Arizona State University)H-Index: 3
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Mar 1, 2016 in ICASSP (International Conference on Acoustics, Speech, and Signal Processing)
#1Huan Songg (ASU: Arizona State University)H-Index: 1
#2Jayaraman J. Thiagarajan (LLNL: Lawrence Livermore National Laboratory)H-Index: 8
Last.Pavan K. Turaga (ASU: Arizona State University)H-Index: 21
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#1Visar Berisha (ASU: Arizona State University)H-Index: 11
#2Alan Wisler (ASU: Arizona State University)H-Index: 4
Last.Andreas Spanias (ASU: Arizona State University)H-Index: 26
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Jan 1, 2016 in IOT (The Internet of Things)
#1Satyavrat Wagle (Vishwakarma Institute of Technology)H-Index: 1
Cited By3
#1Muhammad Usama (Information Technology University)H-Index: 2
#2Junaid Qadir (Information Technology University)H-Index: 17
Last.Ala I. Al-Fuqaha (Khalifa University)H-Index: 15
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#1Farib Khondoker (ASU: Arizona State University)
#2Trevor Thornton (ASU: Arizona State University)H-Index: 22
Last.Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
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Feb 1, 2018 in IOT (The Internet of Things)
#1Vignesh Mahalingam Suresh (NTU: Nanyang Technological University)
#2Rishi Sidhu (NTU: Nanyang Technological University)
Last.Arindam Basu (NTU: Nanyang Technological University)H-Index: 17
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Oct 1, 2017 in FIE (Frontiers in Education Conference)
#2Sameeksha KatochH-Index: 1
Last.Andreas SpaniasH-Index: 26
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#1Uday Shankar Shanthamallu (ASU: Arizona State University)H-Index: 2
#2Andreas Spanias (ASU: Arizona State University)H-Index: 26
Last.Mike Stanley (NXP Semiconductors)H-Index: 1
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