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  • Open Access

    ARTICLE

    Adaptive Extended Isogeometric Analysis for Steady-State Heat Transfer in Heterogeneous Media

    Weihua Fang1, Tiantang Yu2,*, Yin Yang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 1315-1332, 2021, DOI:10.32604/cmes.2021.014575 - 19 February 2021

    Abstract Steady-state heat transfer problems in heterogeneous solid are simulated by developing an adaptive extended isogeometric analysis (XIGA) method based on locally refined non-uniforms rational B-splines (LR NURBS). In the XIGA, the LR NURBS, which have a simple local refinement algorithm and good description ability for complex geometries, are employed to represent the geometry and discretize the field variables; and some special enrichment functions are introduced into the approximation of temperature field, thus the computational mesh is independent of the material interfaces, which are described with the level set method. Similar to the approximation of temperature… More >

  • Open Access

    ARTICLE

    On Ductile Damage Modelling of Heterogeneous Material Using Second-Order Homogenization Approach

    Jurica Sorić*, Tomislav Lesičar, Zdenko Tonković

    CMES-Computer Modeling in Engineering & Sciences, Vol.126, No.3, pp. 915-934, 2021, DOI:10.32604/cmes.2021.014142 - 19 February 2021

    Abstract The paper deals with the numerical modelling of ductile damage responses in heterogeneous materials using the classical second-order homogenization approach. The scale transition methodology in the multiscale framework is described. The structure at the macrolevel is discretized by the triangular C1 finite elements obeying nonlocal continuum theory, while the discretization of microstructural volume element at the microscale is conducted by means of the mixed type quadrilateral finite element with the nonlocal equivalent plastic strain as an additional nodal variable. The ductile damage evolution at the microlevel is modelled by using the gradient enhanced elastoplasticity. The macrolevel… More >

  • Open Access

    ARTICLE

    Prediction and Limitations of Noise Maps Developed for Heterogeneous Urban Road Traffic Condition: A Case Study of Surat City, India

    Dipeshkumar R. Sonaviya*, Bhaven N. Tandel

    Sound & Vibration, Vol.55, No.1, pp. 57-68, 2021, DOI:10.32604/sv.2021.010715 - 19 January 2021

    Abstract Road traffic noise pollution has been recognized as a serious issue which affects human health as well as affects urban regions. Noise maps are very beneficial to identify the impact of noise pollution. A noise mapping study performed to study the propagation of noise in tier-II city along with field measurements. The noise maps are developed using a computer simulation model (SoundPLAN essential 4.0 software). The noise prediction models like U.K’s CoRTN, Germany’s RLS-90, and their modified versions, which can be used for homogenous road traffic conditions, cannot be successfully applied in heterogeneous road traffic… More >

  • Open Access

    ARTICLE

    Research on Network Resource Optimal Allocation Algorithm Based on Game Theory

    Xiaojuan Yuan1,2,*

    Intelligent Automation & Soft Computing, Vol.27, No.1, pp. 249-257, 2021, DOI:10.32604/iasc.2021.013637 - 07 January 2021

    Abstract This paper briefly introduced the structure of heterogeneous cellular network and two algorithms which are used for optimizing the network resource allocation scheme: dynamic game algorithm based on spectrum allocation and the game allocation algorithm based on power allocation and alliance. After that, the two algorithms were simulated in MATLAB software and compared with another power iterative allocation algorithm based on non-cooperative game. The results showed that the system energy efficiency of the three algorithms decreased with the increase of the number of small base stations in the network; with the increase of the number More >

  • Open Access

    ARTICLE

    Towards Interference-Aware ZigBee Transmissions in Heterogeneous Wireless Networks

    Sangsoon Lim1, Sanghyun Seo2,*

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 751-765, 2021, DOI:10.32604/cmc.2020.013430 - 30 October 2020

    Abstract Cross-technology interference (CTI) from diverse wireless networks such as ZigBee, Bluetooth, and Wi-Fi has become a severe problem in the 2.4 GHz Industrial Scientific and Medical (ISM) band. Especially, low power and lossy networks are vulnerable to the signal interferences from other aggressive wireless networks when they perform low power operations to conserve the energy consumption. This paper presents CoSense, which accurately detects ZigBee signals with a reliable signal correlation scheme in the presence of the CTI. The key concept of CoSense is to reduce false wake-ups of low power listening (LPL) by identifying the… More >

  • Open Access

    ARTICLE

    Investigation of Heterogeneous Ice Nucleation on the Micro-Cubic Structure Superhydrophobic Surface for Enhancing Icing-Delay Performance

    Senyun Liu1,2, Qinglin Liu1,2, Xian Yi1,2,*, Yizhou Shen4,*, Long Guo1,2, Wenqing Hou4, Haifeng Chen3, Zhen Wang4

    Journal of Renewable Materials, Vol.8, No.12, pp. 1617-1631, 2020, DOI:10.32604/jrm.2020.014158 - 12 November 2020

    Abstract The aim of this study is to explore the heterogeneous ice nucleation behavior based on controllable micro-cubic array structure surfaces from the statistic perspective. To this end, we firstly constructed a group of micro-cubic array structures on silicon substrates by a selective plasma etching technique. After grafting low-free-energy substance, the as-constructed micro-cubic array structure surfaces exhibited higher non-wettability with the water contact angle being up to 150°. On this basis, 500 cycles of freezing and melting processes were accurately recorded to analyze the instantaneous ice nucleation behavior according to the statistical results of freezing temperature.… More >

  • Open Access

    ARTICLE

    A Frame Work for Categorise the Innumerable Vulnerable Nodes in Mobile Adhoc Network

    Gundala Swathi*

    Computer Systems Science and Engineering, Vol.35, No.5, pp. 335-345, 2020, DOI:10.32604/csse.2020.35.335

    Abstract Researches in wireless mobile ad hoc networks have an inherent challenge of vulnerable diagnosis due to the diverse behaviour pattern of the vulnerable nodes causing heterogeneous vtype1, vtype2, vtupe3 and vtype4 faults. This paper proposes a protocol for the diagnosis of vulnerability nodes with threephases of clustering, vulnerable detection and vulnerable fault classification in wireless networks. This protocol employs the technique of probabilistic neural network for classification of vulnerable nodes and detects vulnerable nodes through timeout mechanism and vtype3, vtype4, vtype1, vtype2 nodes through the method of analysis variance. Network simulator NS-2.3.35 is employed for More >

  • Open Access

    ARTICLE

    Inverse Construction Methods of Heterogeneous NURBS Object Based on Additive Manufacturing

    Ting Zang1, Dongbin Zhu2,*, Guowang Mu1

    CMES-Computer Modeling in Engineering & Sciences, Vol.125, No.2, pp. 597-610, 2020, DOI:10.32604/cmes.2020.09965 - 12 October 2020

    Abstract According to the requirement of heterogeneous object modeling in additive manufacturing (AM), the Non-Uniform Rational B-Spline (NURBS) method has been applied to the digital representation of heterogeneous object in this paper. By putting forward the NURBS material data structure and establishing heterogeneous NURBS object model, the accurate mathematical unified representation of analytical and free heterogeneous objects have been realized. With the inverse modeling of heterogeneous NURBS objects, the geometry and material distribution can be better designed to meet the actual needs. Radical Basis Function (RBF) method based on global surface reconstruction and the tensor product More >

  • Open Access

    ARTICLE

    Heterogeneous Hyperedge Convolutional Network

    Yong Wu1, Binjun Wang1, *, Wei Li2

    CMC-Computers, Materials & Continua, Vol.65, No.3, pp. 2277-2294, 2020, DOI:10.32604/cmc.2020.011609 - 16 September 2020

    Abstract Graph convolutional networks (GCNs) have been developed as a general and powerful tool to handle various tasks related to graph data. However, current methods mainly consider homogeneous networks and ignore the rich semantics and multiple types of objects that are common in heterogeneous information networks (HINs). In this paper, we present a Heterogeneous Hyperedge Convolutional Network (HHCN), a novel graph convolutional network architecture that operates on HINs. Specifically, we extract the rich semantics by different metastructures and adopt hyperedge to model the interactions among metastructure-based neighbors. Due to the powerful information extraction capabilities of metastructure… More >

  • Open Access

    ARTICLE

    A Trust Value Sharing Scheme in Heterogeneous Identity Federation Topologies

    Ning Liu1, Fan Yang1, *, Xi Xiong1, 2, Yan Chang1, Shibin Zhang1

    CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1559-1570, 2020, DOI:10.32604/cmc.2020.010562 - 20 August 2020

    Abstract Recent developments in heterogeneous identity federation systems have heightened the need for the related trust management system. The trust management system evaluates, manages, and shares users’ trust values. The service provider (SP) members of the federation system rely on users’ trust values to determine which type and quality of service will be provided to the users. While identity federation systems have the potential to help federated users save time and energy and improve service experience, the benefits also come with significant privacy risks. So far, there has been little discussion about the privacy protection of… More >

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