Signal Processing
In this paper, we propose a novel cooperative resource sharing in a multi-tier edge slicing networks which is
robust to imperfect channel state information (CSI) caused by user equipments’ (UEs) mobility. Due to the mobility
of UEs, the dynamic requirements of their tasks, and the limited resources of the network, we propose a smart joint
dynamic pricing and resources sharing (SJDPRS) scenario that can incentivize the infrastructure provider (InP) and
mobile network operators (MNOs). Aiming to maximize the profits of UEs, MNOs and the InP under the task
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We develop a Systematic Mapping Study to observe the fundamentals and techniques used in Data Curation for Big Data. We focus on computational/mathematical techniques, and application scenarios with the aim of answering the following questions: (i) How Mathematics has contributed in the context of Data Curation? (ii) Are there classes of optimization algorithms being used in the context of Data Curation? If yes, which? (iii) In which application scenarios the Data Curation process has presented greater contributions? Our search was performed in some well-known bibliographic sites.
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Our data set has 5136 records collected in 214 days. The sampling rate of the sensors is 1 hour. Each record includes the number of vehicles entering and leaving the parking lot in an hour, the CO2 concentration of every building floor at the recording time, and the power consumption of each floor in an hour.
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This dataset contains simulation output data files of return loss, VSWR, and impedance(imag and real) for non-stacked(0), single-stack(I), double-stack(II), and triple-stack(III) models for supporting the reproducibility. The dataset is in the compressed zip form and contains a folder for each model.
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The radar system is placed in a tower with a height of 90 m, and the UAV flies toward to the tower starting from the distance of 600 m. The flying height is 45 m, and the speed is approximate 20 m/s.
The selected radar is a coherent radar with an azimuth beam-width of 5 degree and a pulse repetition frequency of 20 kHz, and the UAV model is DJI M600 pro with the SCR of approximate -8.3 dB.
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This is a data set of delay timer design for paper ''Multivariate alarm monitoring for non-convex normal operating zones based on search cones''.
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This dataset contains the synthetic audio signals used in the paper.
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This dataset is used to create the results and figures presented on the manuscript: Ben Moshe et al., "Empirical Study on the Effect of Birds on Commercial Microwave Links and its Application for Bird" Detection".
Application for Bird Detection"
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Data augmentation has been widely adopted for object detection in 2D image and 3D point clouds. However, existing multimodal data augmentation is only a brief reference to single-modal work, and the challenge is to ensure the consistency and rationality of the augmented image and point cloud simultaneously.
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The Baseline set described in the IEEE article (https://ieeexplore.ieee.org/document/10077565) as Baseline_set contains 1442450 rows, where the number of rows varied between 15395 and 197542 for the 16 subjects; the average per subject being 69095 rows. The data set is filtered and standardized as described in III.C in the submission . The other data sets used in the article are derived from Baseline set.
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