Universal Autosophy Data Formats for Network-Centric systems.

Replacing old Platform-centric systems with modern Network-centric systems

Authors: Klaus Holtz, Eric Holtz, Diana Kalienky.

Published / Presented at: PROCEEDINGS OF SPIE, Defense Transformation and Network-Centric Systems, 17 – 20 April 2006, Kissimmee, Florida, USA, Volume 6249, Paper 6249-37.

Level: Expert

Abstract: Conventional platform-centric communication systems are now being replaced by modern network-centric systems such as the packet-switching Internet. A number of problems arise, resulting mainly from the lingering effects of the outdated Shannon information theory. Data has traditionally been communicated in meaningless bit streams according to the Shannon theory. An alternative Autosophy theory communicates data "content" in Internet packets using universal data formats. The new theory evolved from research into self-assembling structures, such as chemical crystals and living trees. Similar natural principles can produce self-assembling data structures that grow in electronic memories without programming -- like data crystals or data trees. The learning algorithms grow hyperspace knowledge libraries for communication and archiving. The advantages include high lossless data compression, unbreakable "codebook" encryption, resistance to transmission errors, universally compatible data formats, and virtual immunity to the Internet's Quality of Service (QoS) problems. A content-based 64bit data format was developed for real-time multimedia Internet communications. Legacy data can be converted to the universal 64bit format using software patches or integrated chipsets. The codes can then be forwarded via any media (cable, radio, satellite, or the Internet) without reformatting. The new data formats could be phased in without disruption to existing communications. 

Keywords: Autosophy, Information theories, Omni Dimensional Networks, Self-assembling data networks, Universal data formats, Multimedia communication, Internet Quality of Service, data compression, encryption.

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