The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 52-469
Full Name: Khalid Kaabneh
Position: Associate Professor
Age: ON
Sex: Female
Address: PO BOX 57
Country: JORDAN
Tel: +96265811616
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E-mail address: khalid.kaabneh@ipu.edu.jo
Other E-mails: dr_kaabneh@yahoo.com
Title of the Paper: A Bit-Level Text Compression Scheme Based on ACW Algorithm
Authors as they appear in the Paper: Khlaid Kaabneh, Hussein Al-Bahadli, Shaker Hussain
Email addresses of all the authors: Khalid.kaabneh@ipu.edu.jo, hbahadily@aabfs.org, shakirh@asu.edu.jo
Number of paper pages: 11
Abstract: Abstract: This paper presents a description and performance evaluation of a new efficient, bit-level, lossless, adaptive, and asymmetric data compression scheme based on the adaptive character wordlength (ACW(n)) algorithm. The proposed scheme enhances the compression ratio of the original ACW algorithm by dividing the binary sequence into a number of subsequences (s), each of them satisfies the condition that the number of the various decimal values (d) of the n-bit characters is equal to or less than 256. Therefore, the new scheme is referred to as ACW(n,s), where n is the adaptive character wordlength and s is the number of subsequences into which the original sequence is divided. The new scheme is used to compress a number of text files from standard corpora. The results obtained demonstrate that the ACW(n,s) has a higher compression ratio than many widely used compression algorithms and it has a competitive performance with respect to state-of-the-art softwa!
re.
Keywords: Data compression algorithms; bit-level text compression algorithms; ACW(n) algorithm.
EXTENSION of the file: .pdf
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