Signal Processing
Objective. Currently, few non-invasive measures exist for directly measuring spinal sensorimotor networks. Electrospinography (ESG) is one non-invasive method but is primarily used to measure evoked responses or for monitoring the spinal cord during surgery. Our objectives for collecting this dataset were to evaluate the feasibility of ESG to measure spinal sensorimotor networks by determining spatiotemporal and functional connectivity changes during single-joint movements at the spinal and cortical levels.
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<p>This dataset offers a unique compilation of AC power consumption signals from four different computing devices, encompassing a variety of software applications. Each entry in the dataset meticulously records the intricate fluctuations in power usage as specific software programs are initiated and terminated, providing a 40-second window into the energy profile of each application. With a high-resolution sampling rate of 44100Hz, the dataset captures the nuanced energy demands placed on the electrical infrastructure, conforming to the 220V, 50Hz standard.
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815 Views
STP dataset is a dataset for Arabic text detection on traffic panels in the wild. It was collected from Tunisia in “Sfax” city, the second largest Tunisian city after the capital. A total of 506 images were gathered through manual collection one by one, with each image energizing Arabic text detection challenges in natural scene images according to real existing complexity of 15 different routes in addition to ring roads, roundabouts, intersections, airport and highways.
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In this paper, we investigate the feasibility of THz
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127 Views
This synthetic dataset or phantom consists of 3 jpg format databases, in the two-dimensional (2-D) domain, which are identified as follows:
DB1: Ground Truth
DB2: Speckle noise with zero mean and 0.005 standard deviation
DB3: Speckle noise with zero mean and 0.05 standard deviation
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118 Views
Gas monitoring plays a crucial role in our intelligent societies. Thus we build those stepwise-collected data for gas concentration modeling in dynamic setting which can boost training data collection. First column is time, you have 8 columns for different sensors, including GM402B, GM702B, GM512B, GM302B, MICS5914, MICS5914, MICS4514, and MICS4514. The remaining 3 columns is recorded as the flow rate, which the flow rate of methane and the oxygen-nitrogen mixture is read as L/min, while hydrogen is read as mL/min.
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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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823 Views
This dataset image is based on the monthly average temperatures collected at 299 stations of the Brazilian Meteorological Temperature Dataset. Each station in the dataset image is linked to the eight nearest stations in its vicinity. Based on the data in the Brazilian temperature dataset, we draw a graph with node numbers N = 299 and K = 8. The graph is drawn with July data in the dataset, as shown in Fig.
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218 Views
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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64 Views
Low-light images and video footage often exhibit issues due to the interplay of various parameters such as aperture, shutter speed, and ISO settings. These interactions can lead to distortions, especially in extreme lighting conditions. This distortion is primarily caused by the inverse relationship between decreasing light intensity and increasing photon noise, which gets amplified with higher sensor gain. Additionally, secondary characteristics like white balance and color effects can also be adversely affected and may require post-processing correction.
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2730 Views