Reconsructed images (video sequences) and results for the paper: "Adaptive block compressive sensing for distributed video coding"

Instructions: 

All files in attached zip file.

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The dataset includes 2 parts: private and public traffic.

The private traffic is self-captured network traffic of serveral softwares, such as YouTube, Skype, streaming video, totally 16 categories.

The public traffic is an open VPN dataset, including numorous VPN or nonVPN network services, totally 24 categories.

 

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This dataset contains supplementary data and information for 

C. H. Teh, B. K. Chung and E. H. Lim, "Multilayer Wall Correction Factors for Indoor Ray-Tracing Radio Propagation Modeling," in IEEE Transactions on Antennas and Propagation, vol. 68, no. 1, pp. 604-608, Jan. 2020, doi: 10.1109/TAP.2019.2943397.

 

Instructions: 

Everything is in the zip file. Documentation is given in readme.pdf.

 

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37 Views

Underground UE statistics measurements captured on u-blox SARAN211 NB-IoT device, frequency band 20. Signal waveform captured by means of Rohde&Schwartz TSMW device. The samples were taken along ca. 1600m of level -2 underground tunnel system under Lyngby Campus of Technical University of Denmark.

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This dataset contains supplementary data and information for 

C. H. Teh, B. K. Chung and E. H. Lim, "An Accurate and Efficient 3-D Shooting-and- Bouncing-Polygon Ray Tracer for Radio Propagation Modeling," in IEEE Transactions on Antennas and Propagation, vol. 66, no. 12, pp. 7244-7254, Dec. 2018, doi: 10.1109/TAP.2018.2874519.

Instructions: 

Everything is in the zip file. Documentation is given in readme.pdf.

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88 Views

Encoding and decoding tables for Enhanced Reduced Media-Independent Interface. Dataset contains 3 sets of lookup tables implementing encoder and decoder. Proposed encoder/decoder garantee that 2-bit TXD/RXD will change each data transmission cycle, making it possible for ERMII interface to work without REF_CLK, TX_EN and CRS_DV lines in difference to regular RMII.

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40 Views

This is the dataset of mmWave massive MIMO beamspace channels, which is used for the experiment implementation of the paper "Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems". The source code of the experiment implementation is also open-access on the Github repository DeepBP-AE

Instructions: 

1. The "DeepMIMO_dataset.mat" is the spatial-domain channel dataset that can be reproduced by running "DeepMIMO_Dataset_Generator.m". For more details, refer to the public DeepMIMO dataset "DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications". 

2. The "H_beam_sparsity_syn3.mat" is the beamspace-domain channel dataset that can be reproduced by running "deepMIMO_beamspace_channels.m". 

3. For more detailed parameter settings, please refer to the paper "Acquiring Measurement Matrices via Deep Basis Pursuit for Sparse Channel Estimation in mmWave Massive MIMO Systems" (currently under review).

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362 Views

Reddit is one of the largest social media websites in the world and it contains valuable data about its users and their perspectives organized into virtual communities or subreddits, based on common areas of interest.  Substance use issues are particularly salient within this online community due to the burgeoning substance use (opioid) crisis within the United States among other countries.  A particularly important location for understanding user perceptions of opioids is the Philadelphia, Pennsylvania, USA region, due to the prevalence associated with overdose deaths.  To collect user sen

Instructions: 

Included is the dataset in a CSV file, data dictionary for all variables (column key) in a text file, keyword list used to query the Reddit API in a text file, and the targeted subreddit list in a text file. The dataset comprises entries (submissions, comments) that had keyword query results within targeted subreddits.  The dataset includes designations for submissions and comments within the data dictionary; submission denotes the first order entry within a subreddit, comment denotes entries that are posted in response to submissions or other comments. Rows include all potential entries within the targeted subreddits from January 1, 2005 – May 14, 2020.  

 

There are 56,979 rows of data in the CSV file.

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This dataset covers IP address assignment durations over 6 years, from 13/3/2014 to 26/6/2020. Around 600,000 assignment durations for IPv4 addresses and 190,000 durations for IPv6 addresses is covered. The dataset was processed from the archive of RIPE Atlas ftp.ripe.net/ripe/atlas/. IP addresses of the Atlas probes installed behind NAT are included.

Instructions: 

 

Dataset files:

- dataset_IPv4.csv - IPv4 address assignment durations per end hosts

- dataset_IPv6.csv - IPv6 address assignment durations per end hosts

Fields:

- atlas_id - RIPE Atlas probe ID

- ip - active IP address

- duration - number of days of IP address assignment*

- dead - if TRUE then IP address change was observed; if FALSE then IP address change was not observed

*Changes were observed in day resolution. For example, change between the 1st and 2nd day is therefore indicated by an IP address assignment duration of 1.5 days.

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The Costas condition on a permutation matrix, expressed as row indices as elements of a vector c, can be expressed as A*c=b, where b is a vector of integers in which no element is zero.  A particular formulation of the matrix A allows a singular value decomposition in which the eigenvalues are squared integers and the eigenvalues may be scaled to vectors with all integer elements.  This is a database of the Costas constraint matrices A, the scaled eigenvectors, and the squared eigenvalues for orders 3 through 100.

Instructions: 

Please refer to the file CC_SVD_Database_Readme.pdf for instructions on the format of the database, and its use.  The database contains one file for each order.  The files are CSV files in which each line ends with a comma, then a plain text remark that explains that line.

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