Signal Processing
The EegDoc data set collected using a Cerebus neural signal acquisition equipment involved 2 types of odors (smelling like roses and rotten odors), each with 5 concentrations. Five concentrations of the rose odor are expressed as A10-3.0 (A30), A10-3.5 (A35), A10-4.0 (A40), A10-4.5 (A45) and A10-5.0 (A50), and five concentrations of the rotten odor are expressed as C10-4.0 (C40), C10-4.5 (C45), C10-5.0 (C50), C10-5.5 (C55) and C10-6.0 (C60).
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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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This document has description of acoustic and vibration data of defect cases of centrifugal pump, Test rig facility, sensor, and data acquisition device located at Precision Metrology Laboratory, Mechanical Engineering Department of Sant Longowal Institute of Engineering and Technology Longowal, India.
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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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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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Vibration and Acoustic data for defect cases of the cylindrical roller bearing (NBC: NU205E) of Precision Metrology Laboratory, Mechanical Engineering Department, Sant Longowal Institute of Engineering and Technology, Longowal, India
This data can have the following applications:
- Test the performance of various signal processing techniques.
- Defect width measurement using vibration data
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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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