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Real sampled data of a moving vehicle is provided.

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  • Sensors
  • Last Updated On: 
    Sat, 10/12/2019 - 12:40

    MILP instances (in LP format) of the paper

    Alberto Borghetti

    A Mixed-Integer Linear Programming Approach for the Computation of the Minimum-Losses Radial Configuration of Electrical Distribution Networks

    IEEE Transactions on Power Systems (Issue: 3, Aug. 2012, pp. 1264-1273)

    https://doi.org/10.1109/TPWRS.2012.2184306

    previously available at http://www.lisep.ing.unibo.it/optree.zip 

    113 views
  • Electric Utility
  • Last Updated On: 
    Sun, 09/01/2019 - 10:44

    Service times for the scaling schemes compared in this paper with the administrative switching overheads averaged out

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  • Other
  • Last Updated On: 
    Tue, 08/13/2019 - 12:16

    SDTwittC consists of 200 authors evenly balanced by gender (100 for each). We identified the gender of the tweeters via their names and profile pictures. As potential copy-and-paste texts, both tweets and retweets are discarded in the first place. Only replies are compiled. The number of replies for each author varies from hundreds to thousands. Male authors produced 233926 replies whereas 219740 replies are generated by the female group

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  • Computational Intelligence
  • Last Updated On: 
    Sun, 06/02/2019 - 22:52

    This data set contains explementary data to demonstrate the utility of By-example data query in AutomationML

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  • Standards Research Data
  • Last Updated On: 
    Mon, 04/29/2019 - 08:25

    The data is reduced Collatz dynamics that is denoted by occurred (3*x+1)/2 represented by "-'' and x/2 represented by "0", during the process from a starting integer to the first integer less than the starting integer. The format is: starting integer, binary representation, the count of (3*x+1)/2, the count of x/2, the reduced dynamics represented by "-'' and "0", the ratio - the count of x/2 over the count of (3*x+1)/2. 

    28 views
  • Other
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34

    This dataset is a highly versatile and precisely annotated large-scale dataset of smartphone sensor data for multimodal locomotion and transportation analytics of mobile users.

    The dataset comprises 7 months of measurements, collected from all sensors of 4 smartphones carried at typical body locations, including the images of a body-worn camera, while 3 participants used 8 different modes of transportation in the southeast of the United Kingdom, including in London.

    554 views
  • Computational Intelligence
  • Last Updated On: 
    Thu, 11/08/2018 - 10:34