161 to 170 of 184 Results
Nov 22, 2017 - Sensor Calibration and Truth Discovery
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
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 intensi... |
Nov 22, 2017 -
Light sensors data for blind calibration
Plain Text - 140.5 KB -
MD5: bfa3fa0a2a9957e9f527603ca9a7c388
Data in this file were collected in area 1. |
Nov 22, 2017 -
Light sensors data for blind calibration
Plain Text - 30.1 KB -
MD5: 6f128e86e0ac74fc6c71c8d3614285d9
Data in this file were collected in area 2. |
Nov 22, 2017 -
Light sensors data for blind calibration
Plain Text - 29.4 KB -
MD5: 2d55553decbd62cbf07423689440b34d
Data in this file were collected in area 3. |
Nov 22, 2017 -
Light sensors data for blind calibration
Plain Text - 1.1 KB -
MD5: 2f3d920673d1efe4fac8e9431eef30e6
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Oct 31, 2017 - Network Inference
Tay, Wee Peng; Luo, Wuqiong; Leng, Mei, 2017, "Multiple Sources Estimation and Partitioning", https://doi.org/10.21979/N9/OLAIGW, DR-NTU (Data), V1
Identifying the infection sources in a network, including the index cases that introduce a contagious disease into a population network, the servers that inject a computer virus into a computer network, or the individuals who started a rumor in a social network, plays a critical... |
Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 806 B -
MD5: 624bb16b4c1056bd1e8cf688fb876d2e
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 766 B -
MD5: e000480126aac8e7596ac38d667e5f80
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 604 B -
MD5: 79541c762b8012c3f472f2bb970e4938
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Oct 31, 2017 -
Multiple Sources Estimation and Partitioning
Unknown - 432 B -
MD5: 8bd74b11c60ad1d2a40a8c8636478bbb
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