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  • Open Access


    Practical Application of Fractional Order Controllers to a Delay Thermal System

    Aymen Rhouma1,∗, Sami Hafsi2,†, Faouzi Bouani3

    Computer Systems Science and Engineering, Vol.34, No.5, pp. 305-313, 2019, DOI:10.32604/csse.2019.34.305

    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 More >

  • Open Access


    Implementation of Decision Trees as an Alternative for the Support in the Decisionmaking within an Intelligent System in Order to Automatize the Regulation of the Vocs in Non-Industrial Inside Environments

    Liliana Aguilar, Salvador W. Nava-Díaz, Gabriel Chavira

    Computer Systems Science and Engineering, Vol.34, No.5, pp. 297-303, 2019, DOI:10.32604/csse.2019.34.297

    Abstract Natural ventilation is a component that provides a positive impact in the quality of air conditions in indoor environments, especially in non-industrial buildings. The maintenance of a continuous entrance of outside air through windows provides to the indoor a feasible and affordable manner to regulate and sustain low standards in theVOC (Volatile Organic Compounds). The technology and the Human Computer-Interaction have contributed to the creation of Intelligent Environments (EI) that provides to humans being a positive and non-intrusive responsiveness of the environment to improve their quality of life in daily activities. The Decision Trees for… More >

  • Open Access


    Investigating the Effect of Software Packaging on Modular Structure Stability

    Shouki A. Ebad1,∗, Moataz Ahmed2,†

    Computer Systems Science and Engineering, Vol.34, No.5, pp. 283-296, 2019, DOI:10.32604/csse.2019.34.283

    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 More >

  • Open Access


    A Survey and Systematic Categorization of Parallel K-Means and Fuzzy-C-Means Algorithms

    Ahmed A. M. Jamel1,∗, Bahriye Akay2,†

    Computer Systems Science and Engineering, Vol.34, No.5, pp. 259-281, 2019, DOI:10.32604/csse.2019.34.259

    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 More >

  • Open Access


    Resource Management in Cloud Computing with Optimal Pricing Policies

    Haiyang Zhang1, Guolong Chen2, Xianwei Li2,3,*

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 249-254, 2019, DOI:10.32604/csse.2019.34.249

    Abstract As a new computing paradigm, cloud computing has received much attention from research and economics fields in recent years. Cloud resources can be priced according to several pricing options in cloud markets. Usage-based and reserved pricing schemes are commonly adopted by leading cloud service providers (CSPs) such as Amazon and Google. With more and more CSPs entering cloud computing markets, the pricing of cloud resources is an important issue that they need to consider. In this paper, we study how to segment cloud resources using hybrid pricing schemes in order to obtain the maximum revenue More >

  • Open Access


    R&D Investment Enhance the Financial Performance of Company Driven by Big Data Computing and Analysis

    Erna Qi1,∗, Min Deng2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 237-248, 2019, DOI:10.32604/csse.2019.34.237

    Abstract The application of computer technology, especially the emergence of some statistical software and graphic presentation technology, has enabled many areas of research that require a large amount of data analysis. This paper discusses the relationship between R&D investment and corporate financial performance, and further studies the effect of environmental regulations on this relationship through these technologies. The unbalanced panel data of listed companies from 2007 to 2016 were used as a sample, and then corresponding regression modelswere established through logical reasoning. Empirical analysis has found that there is an inverted U-shaped relationship between R&D investment… More >

  • Open Access


    Personalised Product Recommendation Model Based on User Interest

    Jitao Zhang

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 231-236, 2019, DOI:10.32604/csse.2019.34.231

    Abstract The scale of e-commerce systems is increasing and more and more products are being offered online. However, users must find their own desired products among a large amount of unrelated information, which makes it increasingly difficult for them to make a purchase. In order to solve this problem of information overload, and effectively assist e-commerce users to shop easily and conveniently, an e-commerce personalized recommendation system technology has been proposed. This paper introduces the design and implementation of a personalized product recommendation model based on user interest. The “shopping basket analysis” functional model centered on… More >

  • Open Access


    Ordering Method and Empirical Study on Multiple Factor Sensitivity of Group Social Attitudes Based on Entropy Theory

    Qin He1, Shuang Dong1,*, Yaxin Cheng1

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 225-230, 2019, DOI:10.32604/csse.2019.34.225

    Abstract When studying the various factors affecting a group’s social attitudes, minor changes in a factor will easily cause changes to other factors due to their association and relevance to each other; therefore, such a factor is more sensitive, although there is a difference between sensitivity and importance. In order to comprehensively learn about the influence of multiple factors, explorations based on entropy theory have been conducted to determine the sensitivity of each factor, to specify the difference between the frequency and sensitivity priority of entropy theory, and to provide a method, a way of thinking, More >

  • Open Access


    Optimization of the Dynamic Measure of Spillover Effect Based on Knowledge Graph

    Rui Hua1,2, Yongwen Bao3, Shengan Chen2, Ziyin Zhuang1,*

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 215-223, 2019, DOI:10.32604/csse.2019.34.215

    Abstract This paper improves the dynamic Feder model based on the characteristics of knowledge production and separates the direct effect and spillover effect of R&D in order to determine the relationship between spillover effect of R&D and economic growth, and accurately measure it by examining Chinese provincial panel data from 2008–2016. The theoretical analysis shows that the spillover effect of R&D promotes economic growth. Empirical analysis using a combination of OLS, sysGMM, 2SLS and GLS shows that basic research and application research have significant spillover effects; the marginal revenue of the basic research is lower than More >

  • Open Access


    Modeling and Simulation of Entrepreneur Individual Based on Dynamic and Complex System Computing

    Xueling Nie1,∗, Xinlu Zou1, Dishi Zhu2

    Computer Systems Science and Engineering, Vol.34, No.4, pp. 207-214, 2019, DOI:10.32604/csse.2019.34.207

    Abstract There are disadvantages such as lack of resources and experience in college students’ entrepreneurship and the current research belong to the investigation and research, lacking the prediction simulation model research. Based on the theory of individual learning and the theory of complex systems, this study analyzes the mechanism of college students’ entrepreneurial process through dynamic learning theory, establishes the model of college students’ entrepreneurial subject, studies the different learning styles of college students, and discusses the influence of environmental dynamics on college students’ chance recognition. Through simulation and practice analysis, it is concluded that college More >

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