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  • Open Access

    ARTICLE

    Research on Flight First Service Model and Algorithms for the Gate Assignment Problem

    Jiarui Zhang1, Gang Wang2,*, Siyuan Tong1

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1091-1104, 2019, DOI:10.32604/cmc.2019.05907

    Abstract Aiming at the problem of gate allocation of transit flights, a flight first service model is established. Under the constraints of maximizing the utilization rate of gates and minimizing the transit time, the idea of “first flight serving first” is used to allocate the first time, and then the hybrid algorithm of artificial fish swarm and simulated annealing is used to find the optimal solution. That means the fish swarm algorithm with the swallowing behavior is employed to find the optimal solution quickly, and the simulated annealing algorithm is used to obtain a global optimal… More >

  • Open Access

    ARTICLE

    A Stochastic Numerical Analysis for Computer Virus Model with Vertical Transmission Over the Internet

    Muhammad Shoaib Arif1, Ali Raza1, Wasfi Shatanawi2, 3, *, Muhammad Rafiq4, Mairaj Bibi5

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1025-1043, 2019, DOI:10.32604/cmc.2019.08405

    Abstract We are presenting the numerical analysis for stochastic SLBR model of computer virus over the internet in this manuscript. We are going to present the results of stochastic and deterministic computer virus model. Outcomes of the threshold number C* hold in stochastic computer virus model. If C*<1 then in such a condition virus controlled in the computer population while C*>1 shows virus spread in the computer population. Unfortunately, stochastic numerical techniques fail to cope with large step sizes of time. The suggested structure of the stochastic non-standard finite difference scheme (SNSFD) maintains all diverse characteristics More >

  • Open Access

    ARTICLE

    Automated Negotiation in E Commerce: Protocol Relevance and Improvement Techniques

    S. R. Vij1,*, D. Mukhopadhyay2, A. J. Agrawal3

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 1009-1024, 2019, DOI:10.32604/cmc.2019.08417

    Abstract We all negotiate, formally or informally, in jobs, in day today lives and outcomes of negotiations affect those processes of life. Although negotiation is an intrinsic nature of human psyche, it is very complex phenomenon to implement using computing and internet for the various purposes in E Commerce. Automation of negotiation process poses unique challenges for computer scientists and researchers, so here we study how negotiation can be modeled and analyzed mathematically, what can be different techniques and strategies or set of rules/protocols to be implemented and how they can be relevantly implemented. We are… More >

  • Open Access

    ARTICLE

    SVM Model Selection Using PSO for Learning Handwritten Arabic Characters

    Mamouni El Mamoun1,*, Zennaki Mahmoud1, Sadouni Kaddour1

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 995-1008, 2019, DOI:10.32604/cmc.2019.08081

    Abstract Using Support Vector Machine (SVM) requires the selection of several parameters such as multi-class strategy type (one-against-all or one-against-one), the regularization parameter C, kernel function and their parameters. The choice of these parameters has a great influence on the performance of the final classifier. This paper considers the grid search method and the particle swarm optimization (PSO) technique that have allowed to quickly select and scan a large space of SVM parameters. A comparative study of the SVM models is also presented to examine the convergence speed and the results of each model. SVM is More >

  • Open Access

    ARTICLE

    Forecasting Damage Mechanics By Deep Learning

    Duyen Le Hien Nguyen1, Dieu Thi Thanh Do2, Jaehong Lee2, Timon Rabczuk3, Hung Nguyen-Xuan1,4,*

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 951-977, 2019, DOI:10.32604/cmc.2019.08001

    Abstract We in this paper exploit time series algorithm based deep learning in forecasting damage mechanics problems. The methodologies that are able to work accurately for less computational and resolving attempts are a significant demand nowadays. Relied on learning an amount of information from given data, the long short-term memory (LSTM) method and multi-layer neural networks (MNN) method are applied to predict solutions. Numerical examples are implemented for predicting fracture growth rates of L-shape concrete specimen under load ratio, single-edge-notched beam forced by 4-point shear and hydraulic fracturing in permeable porous media problems such as storage-toughness More >

  • Open Access

    ARTICLE

    XML-Based Information Fusion Architecture Based on Cloud Computing Ecosystem

    I-Ching Hsu1,*

    CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 929-950, 2019, DOI:10.32604/cmc.2019.07876

    Abstract Considering cloud computing from an organizational and end user computing point of view, it is a new paradigm for deploying, managing and offering services through a shared infrastructure. Current development of cloud computing applications, however, are the lack of a uniformly approach to cope with the heterogeneous information fusion. This leads cloud computing to inefficient development and a low potential reuse. This study addresses these issues to propose a novel Web 2.0 Mashups as a Service, called WMaaS, which is a fundamental cloud service model. The WMaaS is developed based on a XML-based Mashups Architecture More >

  • Open Access

    ABSTRACT

    Investigation on Energy Characteristic of RBCs Deformability: A Quantitative Analysis of Extending and Retracting Curves Based on AFM

    Dong Chen1, Xiang Wang1,*, Fuzhou Tang2, Yajin Zhao1

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 150-150, 2019, DOI:10.32604/mcb.2019.07071

    Abstract Deformability is a fundamental property of the cells and tissues of living organisms, which is commonly detected to indicate the state of the cells. And the cell deformability usually depends on the methods that we used, which is easy to be confused. The present research is designed to explore the energy characteristic of red blood cell deformability, based on a quantitative analysis of extending-retracting curves acquired from atomic force microscopy. ATP-depleted red blood cells are prepared by treatment with free-glucose Ringer solution. Our results clearly show that the Youngs’ modulus of erythrocyte is closely depended… More >

  • Open Access

    ABSTRACT

    Rationally Designed Synthetic Protein Hydrogels with Predictable and Controllable Mechanical Properties

    Ying Li1, Bin Xue2, Wenxu Sun2, Junhua Wu2, Wenting Yu2, Meng Qin2, Wei Wang2, Yi Cao2,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 147-147, 2019, DOI:10.32604/mcb.2019.07027

    Abstract A key challenge in biomaterials research is to produce synthetic hydrogels that can replicate the diverse mechanical properties of the naturally occurring tissues for various biomedical applications, including tissue engineering, stem cell and cancer research, cell therapy, and immunomodulation. However, currently, the methods that can be used to control the mechanical properties of hydrogels are very limited and are mainly focused only on the elasticity of hydrogels. In this work, combining single molecule force spectroscopy, protein engineering and theoretical modeling, we show that synthetic protein hydrogels with predictable mechanical properties can be rationally designed using… More >

  • Open Access

    ABSTRACT

    The Mechanical Mechanism of Cortical Folding on 3D Cerebral Organoids

    Zongkun Hou1, Shilei Hao1, Bochu Wang1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 145-145, 2019, DOI:10.32604/mcb.2019.07077

    Abstract An expansion of the cerebral neocortex is thought to be the foundation for the unique intellectual abilities of humans. The cortical folding has been implicated in neurodevelopmental disorders and yet its origins remain unknown. In vitro culture of 3D cerebral organoids from human pluripotent stem cells has been used to study the fundamental mechanisms of mammalian neurodevelopment and characteristics of human brain development. Here, we explores the mechanism of boundary limitation on the formation of gyri and sulci through the self-organization of human brain organoids. The structure of cerebral organoids was analyzed by morphology observation, pathology… More >

  • Open Access

    ABSTRACT

    The Rate of Fluid Shear Stress is a Potent Regulator for Lineage Commitment of Mesenchymal Stem Cells Through Modulating [Ca2+]i, F-actin and Lamin A

    Danyang Yue1, Yijuan Fan1, Juan Lu1, Mengxue Zhang1, Jin Zhou1, Yuying Bai1, Jun Pan1,*

    Molecular & Cellular Biomechanics, Vol.16, Suppl.2, pp. 144-144, 2019, DOI:10.32604/mcb.2019.07084

    Abstract Mesenchymal Stem Cells (MSCs) are recruited to the musculoskeletal system following trauma [1] or chemicals stimulation [2]. The regulation of their differentiation into either bone or cartilage cells is a key question. The fluid shear stress (FSS) is of pivotal importance to the development, function and even the repair of all tissues in the musculoskeletal system [3]. We previously found that MSCs are sensitive enough to distinguish a slight change of FSS stimulation during their differentiation commitment to bone or cartilage cells, and the internal mechanisms. In detail, MSCs were exposed to laminar FSS linearly… More >

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