Search Results for "files server"

elibsrv is a light, standalone OPDS server for Linux. It allows to generate an OPDS repository of EPUB and/or PDF files scanned from on-disk directories. It also provides a simple html interface for non-OPDS humans, which makes it a good fit for both OPDS-aware devices (like Android with FBReader or Aldiko) and browsers with EPUB/PDF capabilities (for ex. Firefox with the excellent EPUBReader plugin).

Poludnitsa is a free exam/quiz platform. I wrote it because I needed a simple and robust platform to test a bunch of people. Poludnitsa is a CGI application, therefore it requires a web server (like Apache, nginx, etc). It's primarily written (and runs) on Linux platforms, however, being written in pure ANSI C makes it easily portable to virtually any platform. Poludnitsa stores all information in a PostgreSQL database. The installation of Poludnitsa is quite straigth-forward: it's as simple as putting two *.cgi files on your Linux web server, creating a text file with the SQL configuration that Poludnitsa should use, and access the administration GUI which will provide a wizard for initial configuration (detailed instructions are provided within the package).

!!!! PROJECT MOVED TO https://bitbucket.org/nnovzver/dummyftp !!!! The goals that I pursue in my project is: - creating the extremely simple server for educational purposes - server can be run as a thread in any application - a set of commands supported by the server handle simple operations (transfer directory tree, delete, upload and download files) - the server supports only one user at a time with the login and password that is set in the header file

This software records Linux terminal sessions with util-linux "script" and converts the recorded binary file (with timing) to a human-readable XML file. This file can be replayed with the Javascript-HTML terminal that behaves as a real terminal.

Avenzoar is a one-year exploration of renal cell carcinoma morphology and its related single nucleotide polymorphisms (SNPa) as a method of automating diagnosis of cancer by using a computer-aided decision tree controlled by analytical statistics.