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A Framework to Calibrate a MEMS Sensor Network
[chapter]
2009
Lecture Notes in Computer Science
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The article presents Sensor Network Calibrator (SNC), a calibrator which allows to parametrize the Smart Surface and to determine the necessary number of sensors required by our Smart Surface. ...
Each micromodule comprises a sensor, an actuator and a processing unit. One of the aims of the processing unit is to differentiate the shape of the part that is put on top of the Smart Surface. ...
The aim of the Sensor Network Calibrator SNC which is presented in this article is to parametrize our Smart Surface, i.e. to find the size of the sensors grid necessary to differentiate our models. ...
doi:10.1007/978-3-642-02830-4_12
fatcat:kjiymvlxrrchleppo7hnlcxhfa
Publishable Summary for 17IND12 Met4FoF "Metrology for the Factory of the Future"
2019
Zenodo
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This project will establish a metrological framework for the complete lifecycle of measured data in industrial applications: from calibration capabilities for individual sensors with digital pre-processed ...
output to uncertainty quantification associated with machine learning (ML) in industrial sensor networks. ...
Objective 3: To develop a cost-efficient in-situ calibration framework for MEMS sensors measuring ambient temperature for their integration into an industrial sensor network with metrological quality infrastructure ...
doi:10.5281/zenodo.3250928
fatcat:ybemiy7wfjfgrbicpbhjihaegy
Publishable Summary for 17IND12 Met4FoF "Metrology for the Factory of the Future"
2020
Zenodo
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This project will establish a metrological framework for the complete lifecycle of measured data in industrial applications: from calibration capabilities for individual sensors with digital pre-processed ...
output to uncertainty quantification associated with machine learning (ML) in industrial sensor networks. ...
To develop a cost-efficient in-situ calibration framework for MEMS sensors measuring ambient temperature for their integration into an industrial sensor network with metrological quality infrastructure ...
doi:10.5281/zenodo.3404800
fatcat:pu2lr7anbzgwhbxkxwqx2babd4
Publishable Summary for 17IND12 Met4FoF "Metrology for the Factory of the Future"
2020
Zenodo
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This project will establish a metrological framework for the complete lifecycle of measured data in industrial applications: from calibration capabilities for individual sensors with digital pre-processed ...
output to uncertainty quantification associated with machine learning (ML) in industrial sensor networks. ...
Objective 3: To develop a cost-efficient in-situ calibration framework for MEMS sensors measuring ambient temperature for their integration into an industrial sensor network with metrological quality infrastructure ...
doi:10.5281/zenodo.4267955
fatcat:vo6bbidvtzeoxhsevamlgqvs5a
Framework for Validation of Permanently Installed MEMS-Based Acquisition Devices Using Soft Sensor Models
2020
CivilEng
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An integral part of this framework is the proposed use of soft sensor models to replace technician inspections in the field. ...
With hundreds of MEMS-based sensing units expected to be installed at a single site it is vital to assure the data they produce and maintain them cost effectively. ...
Acknowledgments: The authors would like to thank the BHP Fellowship for Engineering for Remote Operations for support in the preparation of this paper. ...
doi:10.3390/civileng1020007
fatcat:rqka6g4b35gwdglsrqwfqxsb3e
Table of Contents
2020
IEEE Sensors Letters
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Kumar, A. Majumdar, M. G. Chandra, A. A. Kumar, D. Mishra, and S. K. Pal 7004204 Sensor Networks Mobility Accelerates Consensus Building in Sensor Networks . . R. Norouzi-Kandalan, P. Allaart, and K. ...
Trabelsi 3501704 Sensor Systems Kinematic State Estimation Using Multiple DGPS/MEMS-IMU Sensors . . . . . . . . . . . . . . . . . . . . D. Y. Ku and A. ...
doi:10.1109/lsens.2020.3048561
fatcat:xkjav3vaprc6bnvxf7pmcph7am
Securing Health Sensing Using Integrated Circuit Metric
2015
Sensors
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An increase in networked healthcare devices has resulted in incidents related to data theft, medical identity theft and insurance fraud. ...
In this paper, we provide details of how the physical characteristics of a health sensor can be used for the generation of hardware "fingerprints". ...
He also performed a security analysis of the scheme and its simulation results. ...
doi:10.3390/s151026621
pmid:26492250
pmcid:PMC4634399
fatcat:cijbg3a6bvdetj6roowqy5smlu
Metrology For The Factory Of The Future
2018
Zenodo
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• Develop calibration framework for sensors with digital pre-processed output and internal signal processing • Develop reference system for in-situ calibration of MEMS measuring ambient conditions. • Develop ...
• Traceable dynamic calibration of sensors with analogue output (EMRP IND09) • Sensor network metrology for electrical power grids (e.g. ...
✓ Increase the availability of open science data to foster the data science developments • Dynamic calibration of sensors with digital preprocessed output and internal signal processing • Proof-of-principle ...
doi:10.5281/zenodo.1317913
fatcat:fdd5fmklbbddtlv3t2x7xecv7q
Design, Fabrication, and Implementation of an Array-Type MEMS Piezoresistive Intelligent Pressure Sensor System
2018
Micromachines
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Finally, the results of calibration and test experiments achieved with the temperature ranges from −20 to 20 • C show that: (1) the nonlinear error and the sensitivity of the array-type pressure sensor ...
The involved results indicate that the developed array-type composite pressure sensor has good performance, which can provide a useful reference for the development of multi-range MEMS piezoresistive pressure ...
Figure 13 . 13 Software system framework of the array-type intelligent pressure sensor.
Figure 13 . 13 Software system framework of the array-type intelligent pressure sensor. ...
doi:10.3390/mi9030104
pmid:30424038
pmcid:PMC6187660
fatcat:cst5sab2jrdy3b4clvyiev3nme
Brno Urban Dataset: Winter Extention
[article]
2021
arXiv
pre-print
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2021 pre-print arXiv:2106.02952v1 fatcat:qss2wgdkpbgxpnww6th5yspwbi
The new data focus on winter conditions in various snow-covered environments and feature additional LiDAR and radar sensors for object detection in front of the vehicle. ...
To reflect this pressure, we present an extension of our recent work - the Brno Urban Dataset (BUD). ...
Calibration To estimate the calibration parameters of the sensors, we used several publicly available tools. ...
arXiv:2106.02952v2
fatcat:nlt3gno3yfgdjbmz2jxmntrp4q
AP DETECTOR: CROWDSOURCING-BASED APPROACH FOR SELF-LOCALIZATION OF WI-FI FTM STATIONS
2022
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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This paper proposes a crowdsourcing-based approach for self-localization of Wi-Fi APs with the assistance of indoor pedestrian network (AP Detector). ...
the further trajectory calibration. ...
Description of LSTM network
difference between Wi-Fi FTM and MEMS sensors based ranging estimation; The Wi-Fi FTM ranging model is defined in (18), and the MEMS sensors based MEMS) indicates the MEMS ...
doi:10.5194/isprs-archives-xlvi-3-w1-2022-249-2022
fatcat:5izqjsjgk5gebblxgnaaw3zegu
A Wearable Wireless Sensor Network Node for Prevention of Physical Injuries
2019
Annals of Emerging Technologies in Computing
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To address such issues, a wearable wireless inertial sensor network is proposed which monitors body dynamics for probable disruptive incidents. ...
The sensor node consists of a combined accelerometer, gyroscope and magnetometer, linked to a micro controller to gather information from the sensor and a wireless transceiver for communication with the ...
Note This paper is a reworking and extension of a preliminary report that was presented at a local conference in Moscow [18] . ...
doi:10.33166/aetic.2019.03.002
fatcat:pkl4za2ybzcazd552tdaivg3ti
A Novel Algorithm for the Calibration of Inertial/Magnetic Sensors: Application to a Body Sensor Network
2014
Acta Mechanica Slovaca
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Knowledge about the orientation of body segments is a vital source of information. ...
The Integrated Posture and Activity NEtwork by Medit Aachen (IPANEMA) is used as a framework for multiple magnetic, angular rate and gravity (MARG) sensor nodes. ...
The calibration procedure is tested using a Body Sensor Network-based inertial measurement unit and a Vicon tracking system to observe body limb orientation during normal gait on a treadmill. ...
doi:10.21496/ams.2014.018
fatcat:3ux7oec4dndcha7sx67o2une3m
Combination of Smartphone MEMS Sensors and Environmental Prior Information for Pedestrian Indoor Positioning
2020
Sensors
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Then, in order to solve the problem that the PDR algorithm has accumulated errors for a long time, a calibration method is proposed without the need to deploy any additional equipment. ...
First, this article reviews the current mainstream pedestrian dead reckoning (PDR) optimization and improvement methods, and based on this, uses the micro-electromechanical systems (MEMS) sensor on a smartphone ...
And we use the MEMS sensor on the smartphone to implement a continuous positioning system based on the PDR algorithm. ...
doi:10.3390/s20082263
pmid:32316230
pmcid:PMC7219589
fatcat:wc3kwyubafh4pfooc2wxn66bri
A new platform based on IEEE802.15.4 wireless inertial sensors for motion caption and assessment
2006
2006 International Conference of the IEEE Engineering in Medicine and Biology Society
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This paper presents a wireless inertial sensor including 3 linear accelerometers, 3 gyroscopes and 3 magnetometers. The IMU (inertial measurement unit) includes a IEEE802.15.4 compliant transceiver. ...
These systems are restricted to the movement analysis lab and moreover, they are very expensive. ...
Accelerometers An accelerometer measures the acceleration that the sensor is subject to. The basic setup of a MEMS accelerometer consists in a mass attached to a fixed spring spring [1] . ...
doi:10.1109/iembs.2006.260866
pmid:17959435
fatcat:4s6ufbufj5aetcsla2hdzho34y
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