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Logarithmic Positional Partition Interval Encoding by Alevizos, Vasileios; Gerolimos, Nikitas; Edralin, Sabrina; Xu, Clark; Simasiku, Akebu; Priniotakis, Georgios; Papakostas, George; Yue, Zongliang is a scholarly article available to read on EtoBox.

What is Logarithmic Positional Partition Interval Encoding about?

One requirement of maintaining digital information is storage. With the latest advances in the digital world, new emerging media types have required even more storage space to be kept than before. In fact, in many cases it is required to have larger amounts of storage to keep up with protocols that support more types of information at the same time. In contrast, compression algorithms have been integrated to facilitate the transfer of larger data. Numerical representations are construed as embodiments of information. However, this correct association of a sequence could feasibly be inverted to signify an elongated series of numerals. In this work, a novel mathematical paradigm was introduced to engineer a methodology reliant on iterative logarithmic transformations, finely tuned to numeric sequences. Through this fledgling approach, an intricate interplay of polymorphic numeric manipulations was conducted. By applying repeated logarithmic operations, the data were condensed into a minuscule representation. Approximately thirteen times surpassed the compression method, ZIP. Such extreme compaction, achieved through iterative reduction of expansive integers until they manifested as s

Author

Alevizos, Vasileios; Gerolimos, Nikitas; Edralin, Sabrina; Xu, Clark; Simasiku, Akebu; Priniotakis, Georgios; Papakostas, George; Yue, Zongliang

Published

2024

Language

EN