Signal Processing
Researchers have widely used commercial and alternative measurement systems in impedance-based structural health monitoring (SHM), where a piezoelectric transducer attached to the monitored structure is excited while its electrical impedance is measured. However, the literature lacks sufficient attention to the required number of cycles of the excitation signal, an issue frequently overlooked by researchers.
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As the field of human-computer interaction continues to evolve, there is a growing need for new methods of gesture recognition that can be used in a variety of applications, from gaming and entertainment to healthcare and robotics. While traditional methods of gesture recognition rely on cameras or other optical sensors, these systems can be limited by factors such as lighting conditions and occlusions.
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The dataset collected for the whole Quran; 114 sura (6236 ayah) recited by 35 Reciters (approximately 218000 audio files), downloaded from this website https://www.a-quran.com/showthread.php?t=11017, the audio files downloaded in mp3 format, all the downloaded files based on the Hafs from A’asim narration, the dataset figure shows reciters names who participate in this dataset.
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PV Solar Power System Under Partial Shading Irradiance Conditions
Operation of a solar photovoltaic (PV) array connected to a variable DC source to plot the l-V and P-V characteristics under partial shading irradiance conditions.
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Raw datasets of PDA10A receiver signals acquired with MSO2024 oscilloscope for Time Difference of Arrival Optical Wireless Positioning measurements.
The data is stored in csv, numpy and pickle format to be easily imported and processed in Python.
The first dataset consists of measurements on a grid without reflections.
The second dataset are identical measurements but with a corner geometry at the fourth receiver creating diffuse reflections.
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Manual palpation of organs played a vital role in detecting abnormalities in open surgeries. However, surgeons
have lost this ability with the development of minimally invasive surgeries. This challenge led to the development of artificial sensors for palpating the patient's organs and tissue. The majority of research done is related to improving the measurement of tissue compliance by the development of versatile force sensors for surgical
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846 Views
The Excel file contains samples of a laboratory-generated noisy voltage signal with a dc component under nonideal sampling.
This test signal is generated in a laboratory for assessing power frequency estimation algorithms.
The first column represents the sample time.
The second column represents the voltage signal samples.
The reference fundamental frequency is 46 Hz.
The nominal voltage amplitude is 10 V.
The actual sampling rate varies in the range of 9.99834~10.01027 kHz.
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Abstract: This paper explains a new interactive power meter achieved by TMS 320 a digital signal processing (DSP) technique that defines equation conditions. Q_x = √ { V_rms^2 ∑_(n=1)^∞〖( Qn Vn)^2 }〗 for the importance n harmonics. The definition of reactive current is useful because by reduces its value, while the maximum PF (power factor) can be obtained for non-genetic systems.
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It is suggested to use zero crossing detectors to build a high-precision power-factor meter. Low pass filters are suggested to stop this error source after the influence of input signal distortion is examined. Based on the measurement of voltage, current, and power factor, this system is also proposed as a new type of power standard meter.
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RRN-ATR-Net is a radar echo data set containing the micro-Doppler signatures (m-Ds) of different aerial targets, with a total sample size of 1200. It is available for researchers interested in this field but having difficulty collecting data. The data set is acquired using Texas Instruments' AWR1642BOOST radar sensor and the DCA1000EVM high-speed data acquisition card. The target types subject to acquisition include quadrotor (Phantom3s), fixed-wing (Cessna182), helicopter (T-REX450), and bionic bird (Gogo Bird1020).
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