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The dataset Provides S-parameter measurements of an AI enhanced wireless power transfer system using two ISO/ICE 14443-1 Coils with series capacitance compensation at 13.56 MHz under three configurations of vertical and horizontal misalignment, inter-coil distance, and azimuthal tilt. The structure and components of the system is shown in the Image attached to the Dataset This measured data validates the implementation of the system at the three coil configurations discussed in the publication.
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In this paper, we investigate the feasibility of THz
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The experimental measurement model includes the transmitter, receiver and signal processing parts:The transmitter part includes 1 antenna, capable of transmitting signals at a frequency of 1090 MHz.The signal supplied to the transmitting antenna is generated by the FMCOMMS5 transceiver circuit.To generate the transmit signal, a Matlab program is implemented on the computer to control the FMCOMMS5 circuit through the ZC706 FPGA board.The control process is transmitted via Ethernet communication using a LAN (Local Area Network) cable.Specifically, the signal is generated in the Matlab program
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The faulty joint clearance sizes in the study are taken as 0.25 mm and 0.75 mm. The nonfaulty joint clearance size is guaranteed by fine machining (within 0.04 mm). Fifty groups of vibration data are measured per operation condition（normal condition and three mechanical fault conditions）. Therefore, 400 recordings of the three clearance joint faults and normal operating conditions are collected in the end.
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The database consists of 32 scenes, divided into 5 sections. Each scene has an associated zip file. These zip files include full spectral resolution reflectance data from 400nm to 700nm at 10nm steps (31 bands total). Each band is stored as a 16-bit grayscale PNG image. Image filenames are of the format 'object_ms_01.png', where the '01' at the end signifies that this is the first image (captured at 400nm). Thus, '02' corresponds to 410nm, and so on, until '31' for 700nm.
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ABSTRACT This paper provides a study scenario of mobility control for the unmanned aerial vehicles that mount base stations, which are called UAVBSs. Mobility control of UAVBSs is considered a solution to serious problems such as interference and physical collisions between these UAVBSs. Thus, we formulated the problem of UAVBSs mobility control as an exact potential game, and we proposed three algorithms in this work to find the solution for that problem.
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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 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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This LTE_RFFI project sets up an LTE device radio frequency fingerprint identification system using deep learning techniques. The LTE uplink signals are collected from ten different LTE devices using a USRP N210 in different locations. The sampling rate of the USRP is 25 MHz. The received signal is resampled to 30.72 MHz in Matlab. Then, the signals are processed and saved in the MAT file form. More details about the datasets can be found in the README document.
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Modern, industrial use cases for wireless communications are related to mobile applications such as moving robotics in industrial environments. For the design of communication systems, the behavior of the radio channel, especially over time, is of great importance. Most of the existing data sets for industrial radio channels originate from static measurement procedures, containing an arbitrary subset of the environment.
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417 Views