Signal Processing
Images with real ENF traces and related dataset for the paper named "Invisible Geolocation Signature Extraction From a Single Image" published in IEEE Transactions on Information Forensics and Security (T-IFS).
If you used our dataset, please cite our paper as:
J. Choi, C.-W. Wong, A. Hajj-Ahmad, M. Wu, and Y. Ren, "Invisible geolocation signature extraction from a single image," IEEE Transactions on Information Forensics and Security, pp. 2598–2613, Jun. 2022.
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273 Views
Images with synthetic ENF traces and related dataset for the paper named "Invisible Geolocation Signature Extraction From a Single Image" published in IEEE Transactions on Information Forensics and Security (T-IFS).
If you used our dataset, please cite our paper as:
J. Choi, C.-W. Wong, A. Hajj-Ahmad, M. Wu, and Y. Ren, "Invisible geolocation signature extraction from a single image," IEEE Transactions on Information Forensics and Security, pp. 2598–2613, Jun. 2022.
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88 Views
This dataset is in support of my research paper - Short Circuit Analysis of 666 Wh Li-Ion NMC
Faults and datasets can be copied to submit in fire cause investigation reports or thesis. The simulation is run for 20 hours (72000 seconds) of simulation time for each fault of 100 faults.
PrePrint : (Make sure you have read Caution.)
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2383 Views
A monitoring data, which includes several OTDR traces incorporating various types of fiber events (e.g. reflective, non-reflective, merged events) induced along an optical fiber link, is provided. Different fiber faults such as fiber cut, and fiber bend are modeled using optical components such as connectors and variable optical attenuators (VOAs). The data can be used to train machine learning models for solving fiber fault diagnosis problems.
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1103 Views
The monitored data is obtained using the optical time domain reflectometry (OTDR) principle, which is commonly used for troubleshooting fiber optic cables or links. The data set contains raw OTDR traces that include one or two reflective events caused by the placement of one or two reflectors and/or an open physical contact (PC) at the end of the monitored optical fiber link.
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1943 Views
This dataset is for doa estimation when an amplitude-phase error exists.
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244 Views
This synthetic dataset is generated using Matlab automotive driving toolbox to simulate a 77GHz FMCW millimeter-wave radar sensing in the road scenario. Especially for the Doppler ambiguity case, when the object vehicles move within or out of the unambiguous detecable velocity range. The dataset contains in total 20 recordings with the duration of 1 second each. Both time-division modulation (TDM) and binary phase modulation (BPM) data are provided. Each recording consists of complex ADC raw data and complex range-Doppler map, together with the ground-truth range and velocity.
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419 Views
The dataset contains recorded and synthesized ASMR audio clips, as well as their corresponding psychological survey results, see details in the linked paper
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254 Views
Evolving from the well-known ray-tracing dataset DeepMIMO, the DeepVerse 6G dataset additionally provides multi-modal sensing data generated from various emulators. These emulators provide the wireless, radar, LiDAR, vision and position data. With a parametric generator, the DeepVerse dataset can be customized by the user for various communication and sensing applications.
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144 Views
Beam management is a challenging task for millimeter wave (mmWave) and sub-terahertz communication systems, especially in scenarios with highly-mobile users. Leveraging external sensing modalities such as vision, LiDAR, radar, position, or a combination of them, to address this beam management challenge has recently attracted increasing interest from both academia and industry. This is mainly motivated by the dependency of the beam direction decision on the user location and the geometry of the surrounding environment---information that can be acquired from the sensory data.
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1021 Views