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ICS Clear Text. In 1980, the National Incident Management System published a document, ICS Clear Text Guide, which was another attempt to create a replacement for Ten-codes. The list of code words was republished in the 1990 Montana Mutual Aid and Common Frequencies document.
ANSI escape code. Output of the system-monitor htop, an ncurses-application (which uses SGR and other ANSI/ISO control sequences). ANSI escape sequences are a standard for in-band signaling to control cursor location, color, font styling, and other options on video text terminals and terminal emulators. Certain sequences of bytes, most starting ...
10-33 Emergency traffic, clear the channel. CB code for Mayday for trucks and police cars. 3s and 8s Well wishes to a fellow driver. Borrowed from amateur radio telegraphy codes "73" (best regards) and "88" (hugs and kisses). 10-36 Correct time ("Can I get a 10-36?") 10-41 Driver is signing on or changing the channel on their radio 10-42 An ...
However, generally they are considerably slower (typically by a factor 2–10) than fast, non-cryptographic random number generators. These include: Stream ciphers. Popular choices are Salsa20 or ChaCha (often with the number of rounds reduced to 8 for speed), ISAAC, HC-128 and RC4. Block ciphers in counter mode.
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All clear. A British air raid siren from the Second World War. All clear is the signal, generally given by a civil defence siren, which indicates that an air raid or other hazard has finished and that it is safe for civilians to leave their shelters; it is commonly used in radios as well.
65 characters, including DEL. All belong to the common script. 1 Control-C has typically been used as a "break" or "interrupt" key. 2 Control-D has been used to signal "end of file" for text typed in at the terminal on Unix / Linux systems. Windows, DOS, and older minicomputers used Control-Z for this purpose.
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...