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Part 1: Document Description
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Citation |
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Title: |
Light sensors data for blind calibration |
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Identification Number: |
doi:10.21979/N9/QNV6CW |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2017-11-22 |
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Version: |
1 |
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Bibliographic Citation: |
Yang, Jielong; Tay, Wee Peng; Zhong, Xionghu, 2017, "Light sensors data for blind calibration", https://doi.org/10.21979/N9/QNV6CW, DR-NTU (Data), V1 |
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Citation |
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Title: |
Light sensors data for blind calibration |
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Identification Number: |
doi:10.21979/N9/QNV6CW |
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Authoring Entity: |
Yang, Jielong (Nanyang Technological University) |
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Tay, Wee Peng (Nanyang Technological University) |
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Zhong, Xionghu (Nanyang Technological University) |
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Software used in Production: |
(To be provided) |
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Grant Number: |
MOE2014-T2-1-028 |
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Grant Number: |
DELTA-NTU CORP-SLE-RP4 |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Yang Jielong |
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Depositor: |
Yang Jielong |
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Date of Deposit: |
2017-11-15 |
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Holdings Information: |
https://doi.org/10.21979/N9/QNV6CW |
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Study Scope |
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Keywords: |
Engineering, Engineering, light sensor ; time series |
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Topic Classification: |
Blind calibration |
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Abstract: |
We collected measurements from 10 high quality light sensors. We use two sensors as reference sensors to provide the ground truth and perturbed the others by covering them with paper. The data is collected in 3 different areas of a passageway. The differences of the light intensity values between areas are greater than those within the same area. In each area, we let the sensors move around together and all the observations collected correspond to the same signal. The perturbations were different in different areas, and thus the gains and offsets of each sensor were different in different areas. |
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Kind of Data: |
(To be provided) |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.1109/ICASSP.2017.7952949 |
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Bibliographic Citation: |
J. Yang, W. P. Tay, and X. Zhong, “A dynamic Bayesian nonparametric model for blind calibration of sensor networks,” in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing, New Orleans, USA, Mar. 2017 |
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Label: |
area1.txt |
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Text: |
Data in this file were collected in area 1. |
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Notes: |
text/plain |
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Label: |
area2.txt |
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Text: |
Data in this file were collected in area 2. |
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Notes: |
text/plain |
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Label: |
area3.txt |
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Text: |
Data in this file were collected in area 3. |
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Notes: |
text/plain |
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Label: |
Readme.txt |
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Notes: |
text/plain |