Digital signal processing

The dataset contains fundamental approaches regarding modeling individual photovoltaic (PV) solar cells, panels and combines into array and how to use experimental test data as typical curves to generate a mathematical model for a PV solar panel or array.

 

4755 views
  • Energy
  • Last Updated On: 
    Tue, 01/29/2019 - 00:55

    The work starts with a short overview of grid requirements for photovoltaic (PV) systems and control structures of grid-connected PV power systems. Advanced control strategies for PV power systems are presented next, to enhance the integration of this technology. The aim of this work is to investigate the response of the three-phase PV systems during symmetrical and asymmetrical grid faults.

    2407 views
  • Energy
  • Last Updated On: 
    Thu, 04/11/2019 - 10:58

    This dataset includes UWB range measurements performed with Pozyx devices. The measurements were collected between two tags placed at several distances and in two different conditions: with Line of Sight (LOS) and Non-Line of Sight (NLOS). The measurements include the range estimated by the Pozyx tag, the actual distance between devices, the timestamp of each measurement and the values corresponding to the samples of the Channel Impulse Response (CIR) after each transmission.

    49 views
  • Digital signal processing
  • Last Updated On: 
    Mon, 02/10/2020 - 05:36

    This data was used for the paper: J. Wang, P. Aubry, and A. Yarovoy, " Three-Dimensional Short-Range Imaging With Irregular MIMO Arrays Using NUFFT-Based Range Migration Algorithm", IEEE Transactions on Geoscience and Remote Sensing. It includes two synthetic electromagnetic datasets and one experimental measured data with multiple-input-multiple-output (MIMO) arrays.

    21 views
  • Digital signal processing
  • Last Updated On: 
    Fri, 01/10/2020 - 11:56

    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

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

    The target scene consists of a black card with six cocoa beans of three different fermentation levels (High, correct, and low fermentation), two beans for each class, whose false-color composite is shown in the provided Figure (a), ground-truth map is shown in Fig. (b), and Fig. (c) presents its representative spectral signatures. The spectral image was acquired by the AVT Stingray F-080B camera by acquiring one band each time from  350 - 950 nm. The acquired image has a spatial resolution of 1096x712 pixels and 300 spectral bands of 2 nm width.

     

    162 views
  • Image Processing
  • Last Updated On: 
    Thu, 01/02/2020 - 09:35

    The bearing dataset  is acquired by the electrical engineering laboratory of Case Western Reserve University and published on the Bearing Data Center Website. The gearbox dataset  is from IEEE PHM Challenge Competition in 2009

    203 views
  • Standards Research Data
  • Last Updated On: 
    Wed, 11/20/2019 - 03:31

    Wide varieties of scripts are used in writing languages throughout the world. In a multiscript and multi-language environment, it is necessary to know the different scripts used in every part of a document to apply the appropriate document analysis algorithm. Consequently, several approaches for automatic script identification have been proposed in the literature, and can be broadly classified under two categories of techniques: those that are structure and visual appearance-based and those that are deep learning-based.

    33 views
  • Computer Vision
  • Last Updated On: 
    Fri, 10/25/2019 - 06:52

    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

    Cluster analysis, which focuses on the grouping and categorization of similar elements, is widely used in various fields of research. Inspired by the phenomenon of atomic fission, this paper proposes  a novel density-based clustering algorithm, called fission clustering (FC). It focuses on mining the dense families of clusters in the dataset and utilizes the information of the distance matrix to fissure the dataset into subsets.

    96 views
  • Digital signal processing
  • Last Updated On: 
    Mon, 11/25/2019 - 22:44

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