Using Wi-Fi IEEE 802.11 standard, radio frequency waves are mainly used for communication on various devices such as mobile phones, laptops, and smart televisions. Apart from communication applications, the recent research in wireless technology has turned Wi-Fi into other exploration possibilities such as human activity recognition (HAR). HAR is a field of study that aims to predict motion and movement made by a person or even several people.

Instructions: 

Please download and unzip the following files corresponding to the three experiments described in our paper https://doi.org/10.3390/app11198860:

  1. Experiment-1.zip
  2. Experiment-2.zip
  3. Experiment-3.zip

and follow the instructions in the ReadMe.pdfs.

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The data-set used in the paper titled "Short-Term Load Forecasting Using an LSTM Neural Network."

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966 Views

 

Instructions: 

The data in xssed.csv comes from XSSed(http://www.XSSed.com)

The data in normal_example.csv from DMOZ(http://www.dmoztools.net/)

Data are URL formed. IP address and domain name are all removed.

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The dataset consists of tracking data of over 23,000 vehicles travelling though five different roundabouts in Sydney, Australia. This data was collected by a vehicle outfitted with a ibeo.HAD Feature Fusion detection and tracking system. This system uses 6 ibeo LUX 4 beam, 25 Hz Lidar scanners to identify road users at a range of up to 200m, and has an on-board computer for classification and tracking, in real time.

Instructions: 

see full paper publication:

A. Zyner, S. Worrall, and E. Nebot, “ACFR Five Roundabouts Dataset: NaturalisticDriving at Unsignalised Intersections,” IEEE Intelligent Transportation Systems Magazine, Early access:https://doi.org/10.1109/MITS.2019.2907676

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The dataset provides data for the article " LSTM-based Argument Recommendation for Non-API Methods"

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259 Views