Vol.34, No.5, 2019-Table of Contents
  • A Survey and Systematic Categorization of Parallel K-Means and Fuzzy-C-Means Algorithms
  • Abstract Parallel processing has turned into one of the emerging fields of machine learning due to providing consistent work by performing several tasks simultaneously, enhancing reliability (the presence of more than one device ensures the workflow even if some devices disrupted), saving processing time and introducing low cost and high-performance computation units. This research study presents a survey of parallel K-means and Fuzzy-c-means clustering algorithms based on their implementations in parallel environments such as Hadoop, MapReduce, Graphical Processing Units, and multi-core systems. Additionally, the enhancement in parallel clustering algorithms is investigated as hybrid approaches in which K-means and Fuzzy-c-means clustering algorithms… More
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  • Investigating the Effect of Software Packaging on Modular Structure Stability
  • Abstract In object-oriented development, packages form the basic modular structural components of large-scale software systems. Packaging processes aim to group classes together to provide well-identified functions/services to the rest of the system. In this context, it is widely believed that packaging quality has an influence on the software stability so that it should be useful predictors for modular structural stability. In this paper, we investigate the effect of packaging configurations on the modular structure stability of object-oriented systems. Using genetic algorithms, we conducted a series of experiments to find the relation between the packaging quality and modular structure stability. We conducted… More
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  • Practical Application of Fractional Order Controllers to a Delay Thermal System
  • Abstract This paper provides an application of Fractional Model Predictive Control (FMPC) and fractional-order Proportional Integral controller (P Iλ) on a thermal system with time delay.The first controller is based on Grünwald-Letnikov’s method to predict the future dynamic behavior of the system. This method consists in replacing the non-integer derivation operator of the adopted system representation by a discrete approximation. Therefore, this controller is developed on the basis of a fractional order model. However, the second controller is founded on an extended version of Hermite-Biehler theorem to determine the complete set stabilizing P Iλ parameters Experiment results onto a time delay… More
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