Abstract: Various of the present embodiments convert structured data to a channel-based representation facilitating pattern recognition by a compression utility. The channels may include a key channel, a number channel, a type channel, a length channel, etc. These channels reflect the same information as the structured data, but reorganized based upon the structured data's hierarchic structure. The encoder and decoder may include rule sets specifying the relations between the channels to deconstruct/construct the JSON file. Memoization, length encoding, and type encoding extensions may also be applied as part of the encoding/decoding process to further improve compression.

Abstract: When on flat glass elements an anti-corrosion agent and a separation agent, containing a powdery anti-corrosion agent and a powdery separation agent, is applied with the anti-corrosion agent and the separation agent being jointly applied on at least one side of the flat glass elements, the partial quantities of the powdery separation agent and the powdery anti-corrosion agent can be dosed according to requirement without causing an excess of separation agent or a shortage of anti-corrosion agent by holding ready and dosing the said anti-corrosion agent and separation agent independently from each other and by blending them together only after dosing.

Abstract: Various of the present embodiments convert structured data to a channel-based representation facilitating pattern recognition by a compression utility. The channels may include a key channel, a number channel, a type channel, a length channel, etc. These channels reflect the same information as the structured data, but reorganized based upon the structured data's hierarchic structure. The encoder and decoder may include rule sets specifying the relations between the channels to deconstruct/construct the JSON file. Memoization, length encoding, and type encoding extensions may also be applied as part of the encoding/decoding process to further improve compression.