We provide some programs and data which are helpful in studying whether there are 7-variable Boolean functions with third-order nonlinearity 22. They may be also helpful in studying r-order nonlinearity of n-variable functions.
 

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This data was collected as part of the Supplemental Material for Emerging Trends in Collaborative Modelling: A Survey paper. You can use the txt files on https://www.wordclouds.com/

 

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Tested dataset  of the paper "Is there a Robust Technique for Selecting Aspect Ratios in Line Charts?" by Yunhai Wang and Zeyu Wang et al. under the minor revision of IEEE TVCG.

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The metaheuristic optimization algorithms are relatively the new kinds of optimization algorithms which are widely used for difficult optimization problems in which the classic methods cannot be applied and are considered as known and very broad methods for crucial optimization problems. Here, a new metaheuristic optimization algorithm is presented for which the main idea is extracted from a kind of motion in physics and is expected to have better results compared to other optimization algorithms in this field to present a novel method for achieving a more desirable point.

Instructions: 

Please Download From HERE. (Source Code & Paper)

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A database of lips traces
Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Lip prints are unique and permanent for each individual, and next to the fingerprinting, dental identification, and DNA analysis can be one of the basis for criminal/forensics analysis.

Instructions: 

SUT-Lips-DB database is free for scientific and testing purposes. However, you are asked to cite the data set and our papers mentioned at Home Project web site every time when you publish your own research conducted with the use of our data set or when you compare your own results with ours.

The main ZIP archive contains several folders. Each folder may contain several lip traces as JPG files only for one person. Data are anonimized. The name of the folder contains the informormation on the gender of the person. Additional CSV file contains information about year of birth of people for who we collected samples.

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This dataset contains citation dynamics of individual papers published in several journals including ACM, Cell, IEEE, Nature, Science, NEJM, PNAS, Physical Review (PR), PRL. Each txt file contains citation dynamics (up to 2014) of papers published in a particular journal in a particular year. For example, ieee1985.txt contains citation dynamics of papers published in IEEE in 1985. Note that the citation counts of year 2014 are incomplete as this dataset was collected in summer 2014.

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The aim of the database consists of providing the researchers with a collection of power quality real-life impulsive events to test experiments and measurement instruments. The dataset provides signals recordings from the power network of the University of Cádiz during the last five years (electrical network according to the UNE-EN-50160: 2011).

The dataset offers a diversity of real impulsive events, which are specifically acquired in order to test Power Quality Instruments according to the UNE-IEC 61000-4-11: 2005.

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Costas arrays are permutation matrices that meet the added Costas condition that, when used as a frequency-hop scheme, allow at most one time-and-frequency-offset signal bin to overlap another.  Databases to various orders have been available for many years.  Here we have a database that is far more extensive than any available before it.  A very powerful and easy-to-use Windows utility with a GUI accompanies the database.

Instructions: 

Download the file GetStarted.zip.  This file contains the Instructions as a PDF file, the extraction and analysis utility in its own ZIP file, and several information files includign an enumeration database in an Excel file.

 

Unpack this file in a folder that you want to be the location of your Costas array database.  Be sure and unpack subfolders, so that you dee subfolders /Searches and /Generated when you are done.  Folder /Searches contains all Costas arrays to order 29, and folder /Generated contains all generated Costas arrays to order 100.  The file Read_CA_Database_00.zip contains the extraction and analysis utility.  It may be extracted in-place or, if the database is on a network drive or other location inconvenient for DLLs, in its own folder anywhere on a local drive such as your C:\ drive.  See the Instructions PDF for details.

 

Then, as you need them, add these files: CA_Database_101-200.zip        More data for /Generated folder CA_Database_201-300.zip        More data for /Generated folder CA_Database_301-400.zip        More data for /Generated folder CA_Database_401-500.zip        More data for /Generated folder CA_Database_501-600.zip        More data for /Generated folder CA_Database_601-700.zip        More data for /Generated folder CA_Database_701-800.zip        More data for /Generated folder CA_Database_801-900.zip        More data for /Generated folder CA_Database_901-950.zip       More data for /Generated folder

CA_Database_951-1000.zip    More data for /Generated folder CA_Database_1001-1030.zip    More data for /Generated folder

 

This is a file that was produced by the extraction/analysis utility FrHop_LUB_Database.zip        Frequency hop LUB list; useful with PLL-based waveform generators

 

For further information, see the file Costas Arrays to Order 1030 INSTRUCTIONS.pdf

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IEEE Big Data is proud to announce the next competition in our series of Data Analytics & Visualization Competitions. It will be held at IEEE COMPSAC 2017, 4-8 July 2017 in Torino, Italy, and is open to all attendees of the conference.

Last Updated On: 
Tue, 08/08/2017 - 10:51
Citation Author(s): 
United Nations Statistics Division, International Telecommunications Union, United States Patent and Trademark Office

The graphs have been extracted from the 2012 and 2014 versions of the Common Crawl web corpera. The 2012 graph covers 3.5 billion web pages and 128 billion hyperlinks between these pages. To the best of our knowledge, the graph is the largest hyperlink graph that is available to the public outside companies such as Google, Yahoo, and Microsoft. The2014 graph covers 1.7 billion web pages connected by 64 billion hyperlinks.

Instructions: 

We also provide the page graph in the format expected by the WebGraph Framework developed by Sebastiano Vigna. The graph is represented using three files: .graph, .offsets, .properties. All three are necessary to load the network into the library.

Using the WebGraph Framework, which can be downloaded from Maven Central, these files can be loaded using the following line of code: BVGraph graph = BVGraph.loadMapped(baseName, new ProgressLogger()).

The extracted data is provided according the same terms of use, disclaimer of warranties and limitation of liabilities that apply to the Common Crawl corpus.

The Web Data Commons extraction framework can be used under the terms of the Apache Software License.

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