Computational origami is the set of tools and techniques used to model different materials and paper-folding designs on a computer. Computational origami explains the way a three-dimensional origami structure can be created from two-dimensional paper with the help of several algorithms.
The algorithm used in computer-aided design tools for origami is very sophisticated and finds its application in engineering and other visual applications. Airbag design, machine folding and protein folding are some of the applications for computational origami.
A mathematician named Humaki Huzita developed a sequence of six complex origami properties in order of increasing complexity.These explain the relation between two points connected in a single line fold, and how four points can be connected on a flat surface.
The most important application of computational origami is influenced by the folding of processors, which is used to increase a processor's data capacity and reduce space so that more processors fit within the same space.
However, computational origami does present a few drawbacks and limitations. When simple, fine-grained processors are used, a lot of hardware is needed to implement the design for these processors. In addition, long queues are formed when complex programs are executed. Finally, origami techniques are not applicable to a silicon-based array of processors, since the long delay lines formed will not be area efficient when complex processing takes place.
The algorithm used in computer-aided design tools for origami is very sophisticated and finds its application in engineering and other visual applications. Airbag design, machine folding and protein folding are some of the applications for computational origami.
A mathematician named Humaki Huzita developed a sequence of six complex origami properties in order of increasing complexity.These explain the relation between two points connected in a single line fold, and how four points can be connected on a flat surface.
The most important application of computational origami is influenced by the folding of processors, which is used to increase a processor's data capacity and reduce space so that more processors fit within the same space.
However, computational origami does present a few drawbacks and limitations. When simple, fine-grained processors are used, a lot of hardware is needed to implement the design for these processors. In addition, long queues are formed when complex programs are executed. Finally, origami techniques are not applicable to a silicon-based array of processors, since the long delay lines formed will not be area efficient when complex processing takes place.
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