Vietnam Yellow Cattle plays an important role in beef production in developing countries. This kind of cows can adapt with monsoon-influenced tropical climate of Vietnam. Their body weights are range from 180 to 300 kg. Up to now, there is no work concerned to classify the behaviors of Vietnam yellow cows in order to improve the breeding efficiency. Raw acceleration data were collected from the cows on April 02-11, 2020 on a farm in Ngoc Nhi Village, Cam Lanh Commune, Ba Vi District, Hanoi City, Vietnam. The area of this camp is 3.5 hectares, and the cows are free to move around.

  • Wearable Sensing
  • Last Updated On: 
    Fri, 07/03/2020 - 00:31

    We took advantage of the prototype to compare the performances of an LwM2M device management protocol implementation and FIWARE’s Ultralight 2.0. In addition to demonstrating the viability of the proposed approach, the obtained results point to mixed advantages/disadvantages of one protocol over the other.

  • IoT
  • Last Updated On: 
    Fri, 06/26/2020 - 08:28

    This repository introduces a novel dataset for the classification of Chronic Obstructive Pulmonary Disease (COPD) patients and Healthy Controls. The Exasens dataset includes demographic information on 4 groups of saliva samples (COPD-HC-Asthma-Infected) collected in the frame of a joint research project, Exasens (https://www.leibniz-healthtech.de/en/research/projects/bmbf-project-exasens/), at the Research Center Borstel, BioMaterialBank Nord (Borstel, Germany).

  • Artificial Intelligence
  • Last Updated On: 
    Thu, 05/28/2020 - 11:18

    The dataset consists of subjective evaluations of 44 naive observers judging the visual complexity of 16 images. The subjective judgments were done using a 5-point Likert-type scale with a neutral midpoint. The items in the scale were “very complex,” “complex,” “medium,” “simple,” and “very simple.” The order of the images was randomized for every participant.

  • Image Processing
  • Last Updated On: 
    Tue, 05/26/2020 - 09:34

    Data for 24-node and 54-node test networks for reliability-oriented distribution expansion planning applications.

  • Reliability
  • Last Updated On: 
    Thu, 05/21/2020 - 10:47

    This dataset contains the catalogs of equipment used to build the following synthetic distribution systems using RNM-US.a) Greensboro (GSO) Synthetic System V0.2b) San Francisco Bay Area (SFO) Synthetic System V0.8The synthetic distribution system has been built using the U.S. Reference Network Model (RNM-US), and it includes the low voltage system, distribution transformers, medium voltage system, primary substations, sub-transmission system and transmission substations.The output synthetic distribution systems are available in the following repositories.[1]    “DR POWER.” [Online].

  • Power and Energy
  • Last Updated On: 
    Sat, 05/02/2020 - 05:33