Signal Processing
This letter presents a novel approach to bolster the physical layer security of optical communication systems, specifically within Passive Optical Networks (PONs), through the utilization of device fingerprints. In this proposed scheme, we employ Optical On-Off Keying (OOK) modulation for signal transmission and subsequently extract distinct fingerprint features from the eye diagrams of these OOK signals. These fingerprint features are then subjected to dimensionality reduction via Siamese neural networks.
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This dataset protocol details the acquisition of a surface electromyography (sEMG) dataset from the Tibialis Anterior (TA) and Gastrocnemius Lateralis (GL) muscles of 20 healthy adults, with an equal distribution of 10 male and 10 female participants. The data was collected using the Delsys Trigno wireless EMG system during a 30-second walking session. Proper electrode placement on the specified muscles was ensured for accurate signal capture. Ethical considerations were addressed, with approval from the Institutional Review Board and informed consent from participants.
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180 Views
The dataset consists of measurements of four different stages of degradation in low-voltage contactors used for industrial purposes. The measurements were obtained with fiber Bragg grating (FBG) sensors that detect the dynamic deformation generated in switching under different internal components. The measurements were processed and features from PSD, FFT and TSFEL python library were extracted. The features of PSD and FFT were acquired in 40 sliding windows of 50Hz from the signal.
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103 Views
This dataset comprises gunshot audio and supporting data released as part of ShotSpotter Tech Note 098, "Precision and accuracy of acoustic gunshot location in an urban environment".
The data derive from a series of live fire tests of the ShotSpotter Respond gunshot location system conducted in Pittsburgh, PA on December 18th, 2018 by the Pittsburgh Bureau of Police. ShotSpotter uses live fire tests to validate that the deployed sensor density is appropriate for the community in question, and to ensure the system is ready for production use.
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479 Views
JVNV is a Japanese emotional speech corpus with verbal content and nonverbal vocalizations whose scripts are generated by a large-scale language model.
Existing emotional speech corpora lack not only proper emotional scripts but also nonverbal vocalizations (NVs) that are essential expressions in spoken language to express emotions.
We propose an automatic script generation method to produce emotional scripts by providing seed words with sentiment polarity and phrases of nonverbal vocalizations to ChatGPT using prompt engineering.
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250 Views
The simulation experiment is based on Candence 16.6 software, where the tolerance of the resistance (R) is set to 5%, the tolerance of the capacitance (C) is set to 10%, the input is a single-pulse signal (amplitude 5 V, pulse width 10 µs, eriod 2ms), and the working temperature is set to 27 ℃. The operational amplifier(op-amp) uses the actual UA741 pspice model. The experiment includes the soft fault diagnosis of Sallen-Key band-pass filter circuit (TC1), Four-op-amp biquad high-pass filter circuit (TC2), and Leap-frog low-pass filter circuit (TC3).
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391 Views
In this brief, the distributed cubature information filtering method is proposed to solve the state estimation problem of target in passive sensor network. Firstly, the observation system model of bearing-only sensor network is established and analysised. The sensor node pairs only measure the relative angle information, and then the state estimation of the target is realized based on the DCIF algorithm.
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51 Views
Our dataset consists of a pretraining dataset and a fine-tuning dataset. The pretraining dataset is generated using the FDTD method. We simulated a scenario for underground pipeline detection, where the transmitter (tx) is located above the ground, and the receiver (rx) is approximately 30 cm away from the transmitter. The target pipeline buried underground has depths ranging from 1 to 3 meters and a length of approximately 10 meters.
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52 Views
Our dataset consists of a pretraining dataset and a fine-tuning dataset. The pretraining dataset is generated using the FDTD method. We simulated a scenario for underground pipeline detection, where the transmitter (tx) is located above the ground, and the receiver (rx) is approximately 30 cm away from the transmitter. The target pipeline buried underground has depths ranging from 1 to 3 meters and a length of approximately 10 meters.
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10 Views
This dataset is recorded by 26 subjects in Shandong Provincial Hospital using wearable ECG devices. It totally includes 208 segments with a duration of 30 seconds. The sampling rate is 256Hz. All the data format is ‘.mat’. This dataset can be used for signal quality assessment as the unacceptable category. All the data are recorded in free-living conditions with various noises. This dataset is recorded by 26 subjects in Shandong Provincial Hospital using wearable ECG devices. It totally includes 208 segments with a duration of 30 seconds. The sampling rate is 256Hz.
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259 Views