*.mat

We will upload final abstract here after IEEE sensors review process

48 views
  • Artificial Intelligence
  • Last Updated On: 
    Sat, 05/16/2020 - 07:12

    This MATLAB dataset (.mat) contains the collected real measurement data from a total of 470 access points (APs) deployed in the Linnanmaa campus of the University of Oulu, Finland. The measurements include IDs, dates of data collection, number of users, received traffic data, transmitted traffic data and location names of each AP. Each observation of traffic data and number of users provide the data value at every 10-minute interval between December 18, 2018 and February 12, 2019. Please cite this as: S. P. Sone & Janne Lehtomäki & Zaheer Khan.

    66 views
  • Machine Learning
  • Last Updated On: 
    Wed, 05/06/2020 - 11:44

    We collected experimental field data with a prototype open-ended waveguide sensor (WR975) operating between 600 MHz - 1300 MHz. With our prototype sensor we collected reflection coefficient measurements at a total of 50 unique 1-ft^2 sites across two separate established cranberry beds in central Wisconsin. The sensor was placed directly on top of cranberry-crop bed canopies, and we obtained 12 independent reflection coefficient measurements (each defined as one S11 sweep across frequency) at each 1-ft^2 site by randomly rotating and/or translating the sensor aperture above each site. After

    75 views
  • Machine Learning
  • Last Updated On: 
    Mon, 05/04/2020 - 17:20

    The endmembers of a hyperspectral image (HSI) are more likely to be generated by independent sources and be mixed in a macroscopic degree before arriving at the sensor element of the imaging spectrometer as mixed spectra.

    75 views
  • Image Processing
  • Last Updated On: 
    Thu, 04/02/2020 - 16:05

    Synergistic prostheses enable the coordinated movement of the human-prosthetic arm, as required by activities of daily living. This is achieved by coupling the motion of the prosthesis to the human command, such as residual limb movement in motion-based interfaces. Previous studies demonstrated that developing human-prosthetic synergies in joint-space must consider individual motor behaviour and the intended task to be performed, requiring personalisation and task calibration.

    92 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Wed, 05/06/2020 - 11:13

    This dataset covers cellular communication signals in the SCF format. There is a total of 60000 signal instances, 36000 of them are reserved as training data and the rest is for the test. The SNR levels are between 1 dB and 15 dB.

    127 views
  • Machine Learning
  • Last Updated On: 
    Fri, 05/29/2020 - 05:22

    It includes 312 ROIs. An ROI is a rectangular BMP image region. A rectangular image region  is located within a PDAC tumor region or within a HP region of a slice CT image. ROIs of 1-153 are PDAC, ROIs of 154:312 are HP.

    38 views
  • Artificial Intelligence
  • Last Updated On: 
    Fri, 04/10/2020 - 04:28

    This data was used for the paper: J. Wang, P. Aubry, and A. Yarovoy, " Three-Dimensional Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration Algorithm", IEEE Transactions on Geoscience and Remote Sensing. It includes two synthetic electromagnetic datasets and one experimental measured data with multiple-input-multiple-output (MIMO) arrays.

    39 views
  • Digital signal processing
  • Last Updated On: 
    Fri, 01/10/2020 - 11:56

    Accurate proportional myo-electric control of the hand is important in replicating dexterous manipulation in robot prostheses. Many studies in this field have focused on recording discrete hand gestures, while few have focused on the proportional and multiple-DOF control of the human hand using EMG signals. To aid researchers on advanced myoelectric hand control and estimation, we present this data from our work "Extraction of nonlinear muscle synergies for proportional and simultaneous estimation of finger kinematics".  

    250 views
  • Biophysiological Signals
  • Last Updated On: 
    Mon, 01/13/2020 - 02:08

    The electric power system of a deep space vehicle is mission-critical, and needs to respond to faults intelligently and autonomously. 

    An algorithm to determine the optimal operation of such a system is presented in the paper: P. Kulkarni, D. Aliprantis, B. Loop and N. Wu, 'Autonomous Power Dispatch for a Deep Space Vehicle Power System,' Proc. 2020 IEEE Power and Energy Conf. at Illinois (PECI), Champaign, IL.

    This dataset contains the complete information about the system used in the case studies in this paper. 

    49 views
  • Power and Energy
  • Last Updated On: 
    Sun, 12/29/2019 - 05:38

    Pages