Signal Processing

This dataset is designed for research on 2D Multi-frequency Electrical Impedance Tomography (mfEIT). It includes:
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By collecting the actual measurement data of LRP UWB and HRP UWB array angle measurement devices under the same experimental conditions in a certain underground space, the angle measurement performance of the two devices was compared and analyzed. The results show that the angle measurement performance of the specially designed LRP UWB receiver is superior to that of the HRP UWB receiver.
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Distributed Acoustic Sensing (DAS) is an emerging technology that utilizes optical fiber (OF) cables as dense arrays of acoustic sensors to detect submarine cable routes. In this study, we combine DAS with ship-board acoustic sources for submarine cable localization. The spatial location of the cable is determined by connecting the coordinates of each DAS channel, which are jointly estimated by the Chan algorithm and a snow ablation optimization algorithm.
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S D International is a leading dyes & chemicals manufacturer and Supplier with ISO 9001:2015 Certified who offers a vast portfolio of Colorants to our customers across the globe. More than a decade in product development and innovation for the textile industry, our products mainly go into the multiple sectors including the Wood, Paper, Printing Inks, Paints, Coatings, Plastics, Rubber, Food Industry and packaging industries. We supply and export our products in more than 50 countries across the globe.
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Data from acoustic condition monitoring of a milling process. During the process, several test parts were milled and acoustic data was recorded using a MEMS microphone.
One file shows two different tools used during milling, one for rough (face) milling with five cutting edges, and one with four cutting edges.
The other files show the data from different parts being milled, with the tool having four cutting edges. There were seven parts milled in total.
As the parts progress, it can be seen that the acoustic data changes, indicating wear and damage in the tool.
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We introduce a dataset comprised of energy consumption data from smart meters in French households, capturing detailed, disaggregated time series for various home appliances. This dataset covers a six-month period with a one-minute sampling rate across five different households. The objective of this dataset is to support the development of models that learn disentangled representations of time series energy data, which can significantly enhance model generalization across both in-distribution and out-of-distribution scenarios.
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Objective: This study evaluates the feasibility of a noninvasive system for monitoring diaphragmatic efficiency in people with cervical spinal cord injury (CSCI). Methods: Two versions of a portable hardware system were developed using impedance pneumography (IP) to measure tidal volume (TV) and surface electromyography (sEMG) to assess diaphragm electrical activity (EAdi). Version 1 was used to determine optimal electrode positions, while Version 2 integrated these sensor systems into a compact, portable design.
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This dataset contains audio recordings sourced from more than 57 TV shows provided by the Saudi Broadcasting Authority. The total number of hours published for these recordings is ~667 hours. The recordings are in Arabic, the majority are in Saudi dialects, and some are in other dialects. To enhance the usage of SADA, the dataset is split into training, validation, and testing sets. Each of validation and testing sets is around 10 hours in audio segments length while training set is 418 hours.
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A total of 6 subjects participated in the experiment with each for three times test.We activated antennas for transmitting Tx0 and for receiving Rx1-4 to obtain the raw-data during experiment. Meanwhile, DCA1000EVM is transferring the raw-data to PC. According to parameters that had been set, each raw-data is 12,800 KB to be utilized.
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