.mat

The dataset includes high-resolution (1 s) power and reactive power profiles of household appliances by means of ground truth data as well as laboratory measurements. The selected appliances included a TV, a washing machine, a toaster, an iron, a hairdryer, a dish washer, a PC, a refrigerator and an air-conditioner unit. The dataset was also enhanced by incorporating range and dryer data measured in the Power Systems Laboratory of Democritus University of Thrace (DUTH).

53 views
  • Smart Grid
  • Last Updated On: 
    Tue, 02/18/2020 - 03:44

    This dataset contains source and processed audio files designed primarily for use with Time-Scale Modification (TSM) research.  88 source files were processed at 10 different time-scale ratios by 6 different TSM algorithms resulting in training set of 5280 files.  Each file was then subjectively evaluated by a minimum of 7 participants providing opinion scores.  Mean Opinion Scores (MeanOS) and Median Opinion Scores (MedianOS) are provided for each file.  An additional 20 files were processed at 4 time-scale ratios by an additional 3 methods were also subjectively evaluated resulting in a t

    99 views
  • Machine Learning
  • Last Updated On: 
    Thu, 02/13/2020 - 01:07

    Low light scenes often come with acquisition noise, which not only disturbs the viewers, but it also makes video compression harder. These type of videos are often encountered in cinema as a result of artistic perspective or the nature of a scene. Other examples include shots of wildlife (e.g. mobula rays at night in Blue Planet II), concerts and shows, surveillance camera footage and more. Inspired by all above, we are proposing a challenge on encoding low-light captured videos.

  • Image Processing
  • Signal Processing
  • Other
  • Last Updated On: 
    Wed, 01/15/2020 - 06:17

    This dataset was developed at the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology as part of the ongoing activities at the Center for Energy and Geo-Processing (CeGP) at Georgia Tech and KFUPM. LANDMASS stands for “LArge North-Sea Dataset of Migrated Aggregated Seismic Structures”. This dataset was extracted from the North Sea F3 block under the Creative Commons license (CC BY-SA 3.0).

    98 views
  • Artificial Intelligence
  • Last Updated On: 
    Mon, 10/21/2019 - 12:54

    Data from accelerometers mounted on ICE chassis.

    185 views
  • Mechanical Sensing
  • Last Updated On: 
    Thu, 09/12/2019 - 05:41

    Infrared imaging from aerial platforms can be used to detect landmines and minefields remotely and can save many lives. This dataset contains thermal images of buried and surface landmines. The images were recorded from a fixed camera for 24 hours with 15-minute intervals. DM-11 type anti-personnel landmines were used. This dataset is available for landmine detection research.

    238 views
  • Remote Sensing
  • Last Updated On: 
    Sun, 06/30/2019 - 15:55

    This dataset lets the users to rapidally estimate electric generator size, mass and losses for given power requirement, speed and DC bus voltage.This is accomplished through the metamodeling of a normalized optimization based machine design framework. The method is applied to a permanent magnet ac machine. This work is developed using the paper Metamodeling of Rotating Electric Machinery published in IEEE Transactions on Energy Conversion.

    102 views
  • Power and Energy
  • Last Updated On: 
    Tue, 06/11/2019 - 19:59

    The Voltammetry-Based Sensing (VBS) methods are extremely interesting due to high specificity in several biochemical applications. Several considerations can be applied to use this method to measure different analytes, and implement efficient and optimized electronic measurement platform for point-of-care diagnostic, in wearable, portable, or IoT systems. The dataset contains the data presented in [1], which proves on real experimental data a method to define the optimized setup to develop efficient and electronic bio-sensing platforms.

    129 views
  • Biomedical and Health Sciences
  • Last Updated On: 
    Mon, 05/27/2019 - 05:11

    This dataset refers to the case study performed in the paper "A Real Options Market-Based Approach to Increase Penetration of Renewables", submitted to IEEE Transactions on Smart Grid. The file contains the Midcontinent ISO data used for the day-ahead prices, as well as the wind data from NREL's Wind Integration National Dataset Toolkit which was used to estimate the renewable productions in the case study.

    119 views
  • Power and Energy
  • Last Updated On: 
    Mon, 04/08/2019 - 21:19