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American Code for Information Interchange - Definition

Written by Jason Gordon

Updated at December 27th, 2020

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American Code For Information Interchange - ASCII

The American Code for Information Interchange (ASCII) is a standard code for transmitting data for the purpose of electronic communication. The ASCII is a code that represents all the English characters such as letters, numbers, and symbols. 

The ASCII represents all the English characters as numbers, with the number ranging from 1to 127. There are two types of ASCII, these are the Standard Code and the Extended Code. The ASCII standard code uses a 7-bit code while the extended code uses an 8-bit encoding method.

American Code For Information Interchange - ASCII

As a standard code for data transmission and electronic communication, the ASCII is used widely for legacy data. The X3 committee, an arm of the American Standards Association (ASA) was the first to develop the ASCII in 1963 and about ten revisions of the standard codes were done between 1967 and 1986. The ASCII codes were binary systems used by the traditional brokers and traders for many years. However, in recent times, the ASCII has been overthrown by other Unicode used for computer systems in the world we are today.

Academics research on American Code For Information Interchange ASCII

  • A computer program to simulate drip rate control, Garner, J. R. (1984). A computer program to simulate drip rate control.Nurse Education Today,3(5), 105-108.
  • Telephonic communications system for the deaf, Weisel, J. S. (1973).Telephonic communications system for the deaf(Doctoral dissertation, California State University, Northridge). A deaf person has as great a need to communicate by telephone as the hearing member of our society. Devices which are presently available on the market to meet this need are studied in detail. A set of system requirements which can best meet the human factors and technical aspects of such a device are developed, and these requirements are then used to develop a communications system.  
  • Unicode Format for NetworkInterchange, Klensin, J., & Padlipsky, M. (2008).Unicode Format for Network Interchange(No. RFC 5198). The Internet today is in need of a standardized form for the transmission of internationalized "text" information, paralleling the specifications for the use of ASCII that date from the early days of the ARPANET. This document specifies that format, using UTF-8 with normalization and specific line-ending sequences. [STANDARDS-TRACK]  
  • Transparent-mode control procedures for data communication, using theAmericanstandardcodeforinformation interchangea tutorial, Gorn, S. (1965). Transparent-mode control procedures for data communication, using the American standard code for information interchangea tutorial.Communications of the ACM,8(4), 203-206. This paper gives the considerations of Task Group X3.3.4 in the area of transparent-mode data communication control philosophy. The appearance of this paper was forecast (under the name of second-level control) in the earlier tutorial paper, Control Procedures for Data Communications, Task Group document X3.3.4.44, dated May 1964.The present paper elaborates upon solutions to the problems of transparency to the basic ASCII communication control characters, as outlined in the previous paper mentioned above. Moreover, it goes on to cover the additional control problems of handling material such as offline encrypted data or non-ASCII codes by means of systems providing complete character transparency. It does not cover concepts of transparency in which the normal character structure or modulation rate of a system may be abandoned.In conjunction with the earlier tutorial paper, this paper is expected to lead to a proposal for standardization of data communication control procedures using the American Standard Code for Information Interchange.   
  • On Using Goldbach G0Codesand Even-RodehCodesfor Text Compression on Using Goldbach G0Codesand Even-RodehCodesfor Text Compression, Budiman, M. A., & Rachmawati, D. (2017, March). On Using Goldbach G0 Codes and Even-Rodeh Codes for Text Compression on Using Goldbach G0 Codes and Even-Rodeh Codes for Text Compression. InIOP Conference Series: Materials Science and Engineering(Vol. 180, No. 1, p. 012062). IOP Publishing. This research aims to study the efficiency of two variants of variable-length codes (i.e., Goldbach G0 codes and Even-Rodeh codes) in compressing texts. The parameters being examined are the ratio of compression, the space savings, and the bit rate. As a benchmark, all of the original (uncompressed) texts are assumed to be encoded in American Standard Codes for Information Interchange (ASCII). Several texts, including those derived from some corpora (the Artificial corpus, the Calgary corpus, the Canterbury corpus, the Large corpus, and the Miscellaneous corpus) are tested in the experiment. The overall result shows that the Even-Rodeh codes are consistently more efficient to compress texts than the unoptimzed Goldbach G0 codes.

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