Communications

We present two synthetic datasets on classification of Morse code symbols for supervised machine learning problems, in particular, neural networks. The linked Github page has algorithms for generating a family of such datasets of varying difficulty. The datasets are spatially one-dimensional and have a small number of input features, leading to high density of input information content. This makes them particularly challenging when implementing network complexity reduction methods.

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  • Communications
  • Last Updated On: 
    Mon, 09/23/2019 - 17:18

    These are experimental results to verify the analytical model described in the manuscript "An Analytical Model of Trilateration Localization Error in Wireless Communication Systems".

     

    67 views
  • Communications
  • Last Updated On: 
    Mon, 09/23/2019 - 14:30

    The following dataset summarizes key figures in reported photonic MEMS devices. The data was used to categorize devices, define and plot key figures of merit relevant to the field of photonic MEMS for scalable integrated circuits, as discussed in the invited review article  "MEMS for Photonic Integrated Circuits".

    162 views
  • Communications
  • Last Updated On: 
    Thu, 09/19/2019 - 13:54

    WiFi measurements dataset for WiFi fingerprint indoor localization compiled on the first and ground floors of the Escuela Técnica Superior de Ingeniería Informática, in Seville, Spain. The facility has 24.000 m² approximately, although only accessible areas were compiled.

    242 views
  • Communications
  • Last Updated On: 
    Tue, 09/10/2019 - 08:49

    These are OMNeT++ flooding simulation results of four-UAV FANET in three different topologies, as mentioned in "The Broadcast Storm Problem in FANETs and the Dynamic Neighborhood-Based Algorithm as a Countermeasure".

    68 views
  • Communications
  • Last Updated On: 
    Thu, 09/05/2019 - 15:35

    Dataset for Wi-Pose, which captures Fine-grained Human Poses with Commodity Wi-Fi

    175 views
  • Communications
  • Last Updated On: 
    Fri, 08/30/2019 - 07:32

    Abstract— In this research, a model for LTE network performance forecast during the rainy season was developed. During the rainy season, cellular network performance is greatly affected. optimization Engineers find it difficult to ascertain cellular (LTE) network parameters that negatively influences the network performance and make a performance prediction during the rainy season. In achieving this, an experimental approach was used to study network samples collected over the LTE network of MTTN in Lagos during the rainy season for a period of 48weeks.

    90 views
  • Communications
  • Last Updated On: 
    Fri, 09/13/2019 - 12:16

    Drive testing is a common practice by mobile operators to evaluate the performance and coverage of their deployed mobile communication systems. Drive testing is, however, a very expensive practice. Furthermore, due to the complexity of future 5G mobile networks, accurate and efficient ways of optimizing and evaluating coverage are needed. The dataset contains measurements from a deployed LTE-A mobile communication system and corresponding satellite images.

    483 views
  • Computer Vision
  • Last Updated On: 
    Thu, 08/15/2019 - 04:59

    Database for FMCW THz radars (HR workspace) and sample code for federated learning 

    327 views
  • Communications
  • Last Updated On: 
    Mon, 09/23/2019 - 12:13

    These are experimental results to verify the analytical model described in the manuscript "An Analytical Model of Trilateration Localization Error".

    184 views
  • Communications
  • Last Updated On: 
    Sun, 09/22/2019 - 12:22

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