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For example, we migrated Tweet IDs from 32-bit to 64-bit integers back in 2009, then did the same for direct message IDs in 2011.
Both data messages and beacons have vehicle and message IDs to enable vehicles to distinguish different broadcast messages.
When a vehicle receives a packet from an RSU, it first extracts the RSU and message IDs from the header.
We read in a sample of raw Ansar1 forum posts and compiled the message text and respective message IDs into an initial corpus.
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If the message ID is duplicated, the message gets discarded.
If packets from this RSU are in the vehicle buffer, the vehicle checks the message ID.
Upon receiving the message, vehicle i checks the message ID and N v contained in the message.
Every RSU appends its own ID and a message ID to the header of each packet to be disseminated.
The message abstract of the SIP includes the list of message ID which the node is holding.
The message id field is used to detect whether a message already arrived at a certain peer before.
We then automatically removed duplicates (same message ID) and empty documents (no message text) from the corpus.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com