MATLAB .MAT

The "Dynamic Scenes" Dataset is provided for testing visual loop closure detection algorithms in highly dynamic scenes. It has a strong background in some crucial applications such as autonomous driving systems.

  • Transportation
  • Last Updated On: 
    Fri, 05/03/2019 - 15:06

    Our state of arousal can significantly affect our ability to make optimal decisions, judgments, and actions in real-world dynamic environments. The Yerkes-Dodson law, which posits an inverse-U relationship between arousal and task performance, suggests that there is a state of arousal that is optimal for behavioral performance in a given task. Here we show that we can use on-line neurofeedback to shift an individual's arousal from the right side of the Yerkes-Dodson curve to the left toward a state of improved performance.

  • Neuroscience
  • Brain
  • Last Updated On: 
    Mon, 03/04/2019 - 05:35

    Ultra Wide Band (UWB) devices have been largely considered for indoor location systems due to their high accu- racy. However, as in other wireless systems, such accuracy is significantly degraded under Non-Line-of-Sight (NLOS) propaga- tion conditions. Therefore, distinguishing between Line-of-Sight (LOS) and NLOS becomes essential to mitigate inaccuracies due to NLOS propagation.

  • Sensors
  • Last Updated On: 
    Wed, 02/27/2019 - 04:04

    A solenoid-operated valve with DC resistance of about 10.3 Ω was exposed to 50 % RH, its rated temperature of 80 °C, and powered at its rated voltage of 12 VDC. (Note: the valve was unrated with regards to relative humidity, RH.) Using Fourier transform infrared (FTIR) spectroscopy, the insulation material was found to be a combination of polystyrene and polyethylene terephthalate. The wire gauge was not disclosed in the valve information sheet.

  • Other
  • Last Updated On: 
    Fri, 01/18/2019 - 11:37

    Mobile Brain-Body Imaging (MoBI) technology was deployed at the Museo de Arte Contemporáneo (MARCO) in Monterrey, México, in an effort to collect Electroencefalographic (EEG) data from large numbers (N = ~1200) of participants and allow the study of the brain’s response to artistic stimuli, as part of the studies developed by University of Houston (TX, USA) and Tecnológico de Monterrey (MTY, México).

  • Neuroscience
  • Brain
  • Last Updated On: 
    Thu, 12/27/2018 - 12:23

    The dataset can be used for Brain MRI study for academic purpose only. Undersampling Masks can be used for random undersampling at different sampling rates. 

  • Brain
  • Digital signal processing
  • Last Updated On: 
    Tue, 12/25/2018 - 00:09

    DECA is widely used as a protocol to describe the fuel economy and battery load of vehicles. Meanwhile, Carsim is universally accepted as a reliable tool to analyze vehicle dynamics. Therefore, it is of great importance to simulate the DECA with Carsim and provide a proper way to measure the virtual fuel economy of vehicles. It may also contribute to explement related experiments. 

  • Transportation
  • Reliability
  • Energy
  • Sensors
  • Mechanical Sensing
  • Last Updated On: 
    Wed, 12/12/2018 - 10:04
  • Geoscience and Remote Sensing
  • Last Updated On: 
    Sat, 04/13/2019 - 03:51
    Citation Author(s): 
    WangXue, Wu Fuyu, Tan Kun

    This dataset contains leg joint kinematics, kinetics, and EMG activity from an experimental protocol approved by the Institutional Review Board at the University of Texas at Dallas. Ten able-bodied subjects walked at steady speeds and inclines on a Bertec instrumented treadmill for one minute per trial. Each subject walked at every combination of the speeds 0.8 m/s, 1.0 m/s, and 1.2 m/s and inclines from -10 degrees to +10 degrees at 2.5 degree increments, for a total of 27 trials.

  • Biomedical and Health Sciences
  • Last Updated On: 
    Wed, 10/31/2018 - 15:15
    Citation Author(s): 
    K. Embry, D. Villarreal, R. Macaluso, R. Gregg

    We provide results of "Robust Visual Tracking Based on Adaptive Extraction and Enhancement of Correlation Filter" on OTB2015 dataset, including the results of proposed tracker with HOG, HOGCN, and deep CNN features.

  • Computational Intelligence
  • Signal Processing
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34
    Citation Author(s): 
    Wuwei Wang

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