ZIP
The "Dynamic Scenes" Dataset is provided for testing visual loop closure detection algorithms in highly dynamic scenes. It has a strong background in some crucial applications such as autonomous driving systems.
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The ZIP file Data_Models_Programs includes two folders:
1. WindSpeedData folder incluses the wind speed data of 10 min interval measured from two acutal wind farms and the programs for establishing a wind speed combination model (WSCM).
2. WindFarmModels folder includes 4 data files (in the Matfile subfolder), 6 detailed or aggregated models of a actual wind farm, and 16 program files for establishing the aggregated model of the wind farm via three methods.
All the files were created in Matlab 2016b.
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Test results from the OSA
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The Geomagnetic field can be used for classifying different landmark locations inside a big building.
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This data set is an example data set for the data set used in the experiment of the paper "A Multilevel Analysis and Hybrid Forecasting Algorithm for Long Short-term Step Data". It contains two parts of hourly step data and daily step data, each with 500 rows of data. The data has been desensitized. A complete data set can be added depending on the review condition.
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The dataset provides data for the article " LSTM-based Argument Recommendation for Non-API Methods"
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Research on Optimizing the Integration of Renewable Energy Sources into the Electrical Power Systems
In this project one model the photovoltaic and wind power sources in order to analyze how to optimally integrate them in the electrical power systems. Integration requirements like transient regimes associated with fault occurrence, identification of the electrical power systems responsible for disturbances, and optimization of the integration are focus points of the research.
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The datasets are composed of the experimental results of my paper submitted to TMM on HELEN and LFW datasets.
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wo kinds of improved SD algorithms for generalised spatial modulation (GSM), termed as the tree search SD (T-SD) and the path search SD (P-SD), are proposed to provide greater complexity reduction compared with the conventional SD algorithms by merging the repeating elements of the vectors. Simulation results show that the proposed T-SD and P-SD can reduce the complexity dramatically while maintaining the optimum bit-error-ratio(BER) performance, especially for high spectral efficiency GSM. Furthermore, P-SD breaks the limitation on the number of transmit antennas and receive antennas.
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