Showing 5 open source projects for "network security simulator"

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  • 1

    xorlisp

    Bit level lambda continuations and nothing else - Queue automata

    Not working yet. To deal with the Halting Problem, computing and data are navigated using debugger ops: linearForward and treeForward, which navigate an astronomically large bit string where 1 is ( and 0 is ). All pairs are derived from (). For example, true is represented as ((()())()), and false is (()(()())). It appears related to the church encoding of lambda where T chooses first parameter and F chooses second, of a pair. Continuations are nearly finished code and are represented as a...
    Downloads: 0 This Week
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  • 2

    Visual Integer Factor

    Puzzle game demonstrating whats so hard about binary integer factoring

    VisualIntFactor will be an interactive educational and scientific tool demonstrating multiply, factor, conversion between unary counting and binary integers, all in the same grid of hexagons. This grid is based on pascals triangle, which is a 1d cellular automata that calculates (X choose Y) factorials by each cell being the sum of the 2 cells upleft and upright. Draw a binary integer from a cell going upright, then explore the allowed transforms which may lead you to a factored state in 2...
    Downloads: 0 This Week
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  • 3

    Math Simulator

    A simulation software for numerical techniques.

    Math Simulator is a java-based application which simulates various mathematical techniques.It is extremely useful for the Engineering students and for professionals. Most importantly, unlike most others Math Simulator is an Application rather than a java - library. So, user is not required to have any computer background. A Unique feature of Math Simulator is that it allows you to save queries for later reference. Hence you can save the problems along with their results.
    Downloads: 3 This Week
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  • 4
    An adhoc network simulator that tests multiple transceiver base stations in a peer to peer environment.
    Downloads: 0 This Week
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  • 5
    This is an implementation of the Granular Neural Network architecture defined by S. Dick, A. Tappenden, C. Badke, O. Olarewaju. It is provided for the use of the public, and the convenience of researchers who may wish to develop or use this new system.
    Downloads: 0 This Week
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