Signal Processing

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.

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.

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.

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.

This is a data set of delay timer design for paper ''Multivariate alarm monitoring for non-convex normal operating zones based on search cones''.

This dataset contains the synthetic audio signals used in the paper. 

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"

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.

Clamp-on ultrasonic transit time difference flow meters provide opportunities for metering where it is impractical or undesirable to cut into an existing pipeline to install an alternative flow meter. Up until now, it has been difficult to perform this type of measurement on thin-walled metal pipes, due to the difficulty of interpreting the guided wave modes in the combined pipe wall and internal fluid system, but a new method has been reported recently that utilises these guided wave modes for flow measurement.