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  • Open Access

    ARTICLE

    Effect of Poly-Alkylene-Glycol Quenchant on the Distortion, Hardness, and Microstructure of 65Mn Steel

    Thi Xuan Tran1, Xuan Phuong Nguyen2, Duong Nam Nguyen3, Dinh Toai Vu1, Minh Quang Chau4, Osamah Ibrahim Khalaf5, Anh Tuan Hoang6,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3249-3264, 2021, DOI:10.32604/cmc.2021.015411

    Abstract Currently, the 65Mn steel is quenched mainly by oil media. Even though the lower cooling rate of oil compared to water reduces the hardness of steel post quenching, the deforming and cracking of parts are often minimized. On the other hand, the oil media also has the disadvantage of being flammable, creating smoke that adversely affects the media. The poly alkylene glycol (PAG) polymer quenchant is commonly used for quenching a variety of steels based on its advantages such as non-flammability and flexible cooling rate subjected to varying concentration and stirring speed. This article examines the effect of PAG polymer… More >

  • Open Access

    ARTICLE

    A Heuristics-Based Cost Model for Scientific Workflow Scheduling in Cloud

    Ehab Nabiel Al-Khanak1,*, Sai Peck Lee2, Saif Ur Rehman Khan3, Navid Behboodian4, Osamah Ibrahim Khalaf5, Alexander Verbraeck6, Hans van Lint1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3265-3282, 2021, DOI:10.32604/cmc.2021.015409

    Abstract Scientific Workflow Applications (SWFAs) can deliver collaborative tools useful to researchers in executing large and complex scientific processes. Particularly, Scientific Workflow Scheduling (SWFS) accelerates the computational procedures between the available computational resources and the dependent workflow jobs based on the researchers’ requirements. However, cost optimization is one of the SWFS challenges in handling massive and complicated tasks and requires determining an approximate (near-optimal) solution within polynomial computational time. Motivated by this, current work proposes a novel SWFS cost optimization model effective in solving this challenge. The proposed model contains three main stages: (i) scientific workflow application, (ii) targeted computational environment,… More >

  • Open Access

    ARTICLE

    An Energy-Efficient Mobile-Sink Path-Finding Strategy for UAV WSNs

    Lyk Yin Tan*, Hock Guan Goh, Soung-Yue Liew, Shen Khang Teoh

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3419-3432, 2021, DOI:10.32604/cmc.2021.015402

    Abstract Data collection using a mobile sink in a Wireless Sensor Network (WSN) has received much attention in recent years owing to its potential to reduce the energy consumption of sensor nodes and thus enhancing the lifetime of the WSN. However, a critical issue of this approach is the latency of data to reach the base station. Although many data collection algorithms have been introduced in the literature to reduce delays in data delivery, their performances are affected by the flight trajectory taken by the mobile sink, which might not be optimized yet. This paper proposes a new path-finding strategy, called… More >

  • Open Access

    ARTICLE

    CNN Ensemble Approach to Detect COVID-19 from Computed Tomography Chest Images

    Haikel Alhichri*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3581-3599, 2021, DOI:10.32604/cmc.2021.015399

    Abstract In January 2020, the World Health Organization declared a global health emergency concerning the spread of a new coronavirus disease, which was later named COVID-19. Early and fast diagnosis and isolation of COVID-19 patients have proven to be instrumental in limiting the spread of the disease. Computed tomography (CT) is a promising imaging method for fast diagnosis of COVID-19. In this study, we develop a unique preprocessing step to resize CT chest images to a fixed size (256 × 256 pixels) that preserves the aspect ratio and reduces image loss. Then, we present a deep learning (DL) method to classify… More >

  • Open Access

    ARTICLE

    An Intelligent Cluster Optimization Algorithm for Smart Body Area Networks

    Adil Mushtaq1, Muhammad Nadeem Majeed1, Farhan Aadil2, Muhammad Fahad Khan2, Sangsoon Lim3,*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3795-3814, 2021, DOI:10.32604/cmc.2021.015369

    Abstract Body Area Networks (BODYNETs) or Wireless Body Area Networks (WBAN), being an important type of ad-hoc network, plays a vital role in multimedia, safety, and traffic management applications. In BODYNETs, rapid topology changes occur due to high node mobility, which affects the scalability of the network. Node clustering is one mechanism among many others, which is used to overcome this issue in BODYNETs. There are many clustering algorithms used in this domain to overcome this issue. However, these algorithms generate a large number of Cluster Heads (CHs), which results in scarce resource utilization and degraded performance. In this research, an… More >

  • Open Access

    ARTICLE

    Efficient MCDM Model for Evaluating the Performance of Commercial Banks: A Case Study

    Mohamed Abdel-Basset1, Rehab Mohamed1, Mohamed Elhoseny2, Mohamed Abouhawash2,3, Yunyoung Nam4,*, Nabil M. AbdelAziz1

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2729-2746, 2021, DOI:10.32604/cmc.2021.015316

    Abstract Evaluation of commercial banks (CBs) performance has been a significant issue in the financial world and deemed as a multi-criteria decision making (MCDM) model. Numerous research assesses CB performance according to different metrics and standers. As a result of uncertainty in decision-making problems and large economic variations in Egypt, this research proposes a plithogenic based model to evaluate Egyptian commercial banks’ performance based on a set of criteria. The proposed model evaluates the top ten Egyptian commercial banks based on three main metrics including financial, customer satisfaction, and qualitative evaluation, and 19 sub-criteria. The proportional importance of the selected criteria… More >

  • Open Access

    ARTICLE

    Feasibility-Guided Constraint-Handling Techniques for Engineering Optimization Problems

    Muhammad Asif Jan1,*, Yasir Mahmood1, Hidayat Ullah Khan2, Wali Khan Mashwani1, Muhammad Irfan Uddin3, Marwan Mahmoud4, Rashida Adeeb Khanum5, Ikramullah6, Noor Mast3

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 2845-2862, 2021, DOI:10.32604/cmc.2021.015294

    Abstract The particle swarm optimization (PSO) algorithm is an established nature-inspired population-based meta-heuristic that replicates the synchronizing movements of birds and fish. PSO is essentially an unconstrained algorithm and requires constraint handling techniques (CHTs) to solve constrained optimization problems (COPs). For this purpose, we integrate two CHTs, the superiority of feasibility (SF) and the violation constraint-handling (VCH), with a PSO. These CHTs distinguish feasible solutions from infeasible ones. Moreover, in SF, the selection of infeasible solutions is based on their degree of constraint violations, whereas in VCH, the number of constraint violations by an infeasible solution is of more importance. Therefore,… More >

  • Open Access

    ARTICLE

    A New Optimized Wrapper Gene Selection Method for Breast Cancer Prediction

    Heyam H. Al-Baity*, Nourah Al-Mutlaq

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3089-3106, 2021, DOI:10.32604/cmc.2021.015291

    Abstract Machine-learning algorithms have been widely used in breast cancer diagnosis to help pathologists and physicians in the decision-making process. However, the high dimensionality of genetic data makes the classification process a challenging task. In this paper, we propose a new optimized wrapper gene selection method that is based on a nature-inspired algorithm (simulated annealing (SA)), which will help select the most informative genes for breast cancer prediction. These optimal genes will then be used to train the classifier to improve its accuracy and efficiency. Three supervised machine-learning algorithms, namely, the support vector machine, the decision tree, and the random forest… More >

  • Open Access

    ARTICLE

    Formal Approach to Workflow Application Fragmentations Over Cloud Deployment Models

    Hyun Ahn, Kwanghoon Pio Kim*

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3071-3088, 2021, DOI:10.32604/cmc.2021.015280

    Abstract Workflow management technologies have been dramatically improving their deployment architectures and systems along with the evolution and proliferation of cloud distributed computing environments. Especially, such cloud computing environments ought to be providing a suitable distributed computing paradigm to deploy very large-scale workflow processes and applications with scalable on-demand services. In this paper, we focus on the distribution paradigm and its deployment formalism for such very large-scale workflow applications being deployed and enacted across the multiple and heterogeneous cloud computing environments. We propose a formal approach to vertically as well as horizontally fragment very large-scale workflow processes and their applications and… More >

  • Open Access

    ARTICLE

    Mechanical Properties of a Wood Flour-PET Composite Through Computational Homogenisation

    P. Pesante1, K. Saavedra2,*, G. Pincheira2

    CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 4061-4079, 2021, DOI:10.32604/cmc.2021.015268

    Abstract This work proposes to study the effective elastic properties (EEP) of a wood-plastic composite (WPC) made from polyethylene terephthalate (PET) and Chilean Radiate pine’s wood flour, using finite element simulations of a representative volume element (RVE) with periodic boundary conditions. Simulations are validated through a static 3-point bending test, with specimens obtained by extruding and injection. The effect of different weight fractions, space orientations and sizes of particles are here examined. Numerical predictions are empirically confirmed in the sense that composites with more wood flour content and bigger size, have higher elastic modulus. However, these results are very sensitive to… More >

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