Signal Processing
Solar insecticidal lamps are only a kind of green, low-carbon, non-polluting physical plant protection equipment that can effectively eliminate phototropic pests. In addition, the insecticidal lamp's statistics of pest population density is an essential task. Determining the population density of the farmland area is vital to the precise application of medicine. The insecticidal lamp will kill the number of pests each night as a measure of the population density of the farmland area indicators.
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This dataset corresponds to the near field (NF) measurements of a 70 cm diameter offset reflector antenna, fed with a circularly polarized helix antenna, working at 4650 MHz [1,2].
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332 Views
Location awareness is vital in next generation (xG) wireless networks to enable different use cases, including location-based services (LBSs) and efficient network management. However, achieving the service level requirements specified by the 3rd Generation Partnership Project (3GPP) is challenging.
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1548 Views
Sensors (VSA001) are used to capture the vibration signals on the bearing (LDK UER20), and a sampling frequency is 25.6 KHz. Samples are collected by a interval of 60 seconds, the length of each sampling is 0.1 seconds, and each sample includes 2560 signals. Multiple sets of vibration signals in normal condition are collected at various time intervals to facilitate model fine-tuning, with a representation of the practical operating conditions. For ease of use, the data file format is .csv.
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403 Views
This paper presents a method for effectively characterizing the dielectric permittivity of nematic liquid crystals across a broad frequency range. These materials show significant potential for reconfigurable devices operating in microwave and millimeter-wave frequencies. To achieve this goal, an additive manufacturing technique is used to create a microstrip line that can be filled with liquid that acts as its substrate. The liquid crystal is then biased to modulate its permittivity.
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48 Views
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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704 Views
<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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643 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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230 Views
In this paper, we investigate the feasibility of THz
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117 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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110 Views