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CNCAHNetGenerator – CNCAH Network Generator

November 23, 2017 / Leave a comment

CNCAHNetGenerator is written in Java 7, to enable the creation of CNCAH networks of arbitrary node and edge types.

If you use CNCAH Network Generator for your research/development, please cite the following paper: Cheong, S.-H., Si, Y.-W., 2016. Accelerating the kamada-kawai algorithm for boundary detection in a mobile ad hoc network. ACM Transactions on Sensor Networks (TOSN) 13 (1), 3. Download EndNote Format (.enw), Download BibteX Format (.bib)

License & disclaimer

  • CNCAHNetGenerator is freeware and under the LGPL License.
  • You may not modify, reverse engineer, decompile, or disassemble the object code portions of this software.
  • This software is provided “as is” and without any warranties expressed or implied, including, but not limited to, implied warranties of fitness for a particular purpose, and non-infringement. You expressly acknowledge and agree that use of the Software is at your sole risk.
  • In no event shall the author be liable for any damages whatsoever (including, without limitation, damages for loss of business profits, business interruption, loss of business information, or other pecuniary loss) arising out of the use of or inability to use this software or documentation, even if the author has been advised of the possibility of such damages.

Download

Current: CNCAHNetGenerator version 0.1, from September 14, 2017.

Documentation

  • CNCAHNetGenerator can generate CNCAH networks via the command line or the graphical interface. Example commands are shown in follows:
java -jar CNCAHNetGenerator.jar -help

java -jar CNCAHNetGenerator.jar -n -v 1000 -e 4000 -o star -sf shapes\star.shape

java -jar CNCAHNetGenerator.jar -n -v 1000 -e 4000 -o donut -sf shapes\donut.shape

java -jar CNCAHNetGenerator.jar -n -v 1000 -e 4000 -o smile -sf shapes\smile.shape

java -jar CNCAHNetGenerator.jar -n -v 1000 -e 4000 -o ushape -sf shapes\ushape.shape

A layered approach to link analysis and visualization of event data

June 5, 2014 / Leave a comment

A layered approach to analysis and visualization of associations from events can provide different levels of abstraction for aggregating and analyzing events from heterogeneous data sources by using lists and customizable functions.

Si, Yain-Whar, Se-Hang Cheong, Simon Fong, Robert P. Biuk-Aghai, and Tat-Man Cheong. "A layered approach to link analysis and visualization of event data." In Digital Information Management (ICDIM), 2012 Seventh International Conference on, pp. 181-185. IEEE, 2012.

The author’s version of a work that was accepted for publication can be downloaded from http://eric.lostcity-studio.com/wp-content/uploads/2019/08/ICDIM2012-AuthorCopy.pdf.