Home / Journals / CSSE / Vol.33, No.6, 2018
  • Open Access

    ARTICLE

    Improving Support Vector Domain Description by Maximizing the Distance Between Negative Examples and The Minimal Sphere Center's

    Mohamed EL Boujnouni1, Mohamed Jedra2
    Computer Systems Science and Engineering, Vol.33, No.6, pp. 409-420, 2018, DOI:10.32604/csse.2018.33.409
    Abstract Support Vector Domain Description (SVDD) is an effective kernel-based method used for data description. It was motivated by the success of Support Vector Machine (SVM) and thus has inherited many of its attractive properties. It has been extensively used for novelty detection and has been applied successfully to a variety of classification problems. This classifier aims to find a sphere with minimal volume including the majority of examples that belong to the class of interest (positive) and excluding the most of examples that are either outliers or belong to other classes (negatives). In this paper we propose a new approach… More >

  • Open Access

    ARTICLE

    Energy Aware Routing Algorithm in Manet Using Linear Programming

    Hany Ramadan1,∗, Ben Bella S. Tawfik2, Alaa El Din M. Riad3
    Computer Systems Science and Engineering, Vol.33, No.6, pp. 421-428, 2018, DOI:10.32604/csse.2018.33.421
    Abstract Mobile ad hoc networks (MANET) are wireless network without infrastructure and suffering from low power battery. Therefore the main objective in finding a route for traffic transfer from a given source to a given destination is to minimize the node energy consumption. This paper solves the problem of finding a route satisfying the main objective of minimum energy consumption and other QoS requirements such as minimum delay and maximum packet delivery ratio by using linear programming technique. Two cases are considered: 1. The traffic amount of a given request is transmitted into single path, and 2. The traffic amount of… More >

  • Open Access

    ARTICLE

    A Phoneme-Based Approach for Eliminating Out-of-vocabulary Problem Turkish Speech Recognition Using Hidden Markov Model

    Erdem Yavuz1,∗, Vedat Topuz2
    Computer Systems Science and Engineering, Vol.33, No.6, pp. 429-445, 2018, DOI:10.32604/csse.2018.33.429
    Abstract Since Turkish is a morphologically productive language, it is almost impossible for a word-based recognition system to be realized to completely model Turkish language. Due to the fact that it is difficult for the system to recognize words not introduced to it in a word-based recognition system, recognition success rate drops considerably caused by out-of-vocabulary words. In this study, a speaker-dependent, phoneme-based word recognition system has been designed and implemented for Turkish Language to overcome the problem. An algorithm for finding phoneme-boundaries has been devised in order to segment the word into its phonemes. After the segmentation of words into… More >

  • Open Access

    ARTICLE

    Reliable Approximated Number System with Exact Bounds and Three-Valued Logic

    Reeseo Cha1, Wonhong Nam2,*, Jin-Young Choi1
    Computer Systems Science and Engineering, Vol.33, No.6, pp. 447-455, 2018, DOI:10.32604/csse.2018.33.447
    Abstract Many programming languages provides mechanism to guarantee the error ranges of exact numbers and intervals. However, when they are integrated with unreliable approximated numbers, we cannot rely on the error-ranges anymore. Such unreliable error-ranges may cause serious errors in programs, and especially in safety critical systems they cost us huge amount of money and/or threaten human’s life. Hence, in this paper, we propose a novel number system to safely perform arithmetic operations with guaranteed error ranges. In the number system, exact numbers are separated from approximated numbers, and approximated numbers with strictly guaranteed error-ranges are again separated from unwarranted numbers… More >

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