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Institution Author: Akman, Kamil İbrahimWoS Q: Q4

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    Article
    Citation - WoS: 7
    Citation - Scopus: 15
    Lossless Text Compression Technique Using Syllable Based Morphology
    (Zarka Private Univ, 2011) Akman, Ibrahim; Bayindir, Hakan; Ozleme, Serkan; Akin, Zehra; Misra, Sanjay; Computer Engineering
    In this paper, we present a new lossless text compression technique which utilizes syllable-based morphology of multi-syllabic languages. The proposed algorithm is designed to partition words into its syllables and then to produce their shorter bit representations for compression. The method has six main components namely source file, filtering unit, syllable unit, compression unit, dictionary file and target file. The number of bits in coding syllables depends on the number of entries in the dictionary file. The proposed algorithm is implemented and tested using 20 different texts of different lengths collected from different fields. The results indicated a compression of up to 43%.
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    Article
    Citation - WoS: 22
    Citation - Scopus: 28
    Green Information Technology Practices Among It Professionals: Theory of Planned Behavior Perspective
    (Politechnika Lubelska, 2014) Akman, Ibrahim; Akman, Kamil İbrahim; Mishra, Alok; Mıshra, Alok; Akman, Kamil İbrahim; Mıshra, Alok; Software Engineering; Software Engineering; Computer Engineering; Computer Engineering; Software Engineering; Computer Engineering
    According to the existing literature, the determinants of environmental attitudes and behavior are important. In this paper impact of information technology adoption environment has been investigated. Some of the studies have successfully utilized Theory of Planned Behavior (TPB) for adoption behavior. This study proposed TPB to explain IT professionals' intentions for Green Information Technology (GIT) practices. For this purpose, a survey was conducted among IT professionals from public and private sector organizations. Core factors of TPB were included in the analysis. Overall, results revealed that the TPB model explains behavioral intent, and all four core constructs were significant predictors of the intent. Limitations of the study, and implications for theory are also discussed.