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Search Results (10)
  • Open Access

    ARTICLE

    Rao Algorithms-Based Structure Optimization for Heterogeneous Wireless Sensor Networks

    Shereen K. Refaay1, Samia A. Ali2, Moumen T. El-Melegy2, Louai A. Maghrabi3, Hamdy H. El-Sayed1,*

    CMC-Computers, Materials & Continua, Vol.78, No.1, pp. 873-897, 2024, DOI:10.32604/cmc.2023.044982

    Abstract The structural optimization of wireless sensor networks is a critical issue because it impacts energy consumption and hence the network’s lifetime. Many studies have been conducted for homogeneous networks, but few have been performed for heterogeneous wireless sensor networks. This paper utilizes Rao algorithms to optimize the structure of heterogeneous wireless sensor networks according to node locations and their initial energies. The proposed algorithms lack algorithm-specific parameters and metaphorical connotations. The proposed algorithms examine the search space based on the relations of the population with the best, worst, and randomly assigned solutions. The proposed algorithms can be evaluated using any… More >

  • Open Access

    ARTICLE

    Deep Structure Optimization for Incremental Hierarchical Fuzzy Systems Using Improved Differential Evolution Algorithm

    Yue Zhu, Tao Zhao*

    CMES-Computer Modeling in Engineering & Sciences, Vol.138, No.2, pp. 1139-1158, 2024, DOI:10.32604/cmes.2023.030178

    Abstract The optimization of the rule base of a fuzzy logic system (FLS) based on evolutionary algorithm has achieved notable results. However, due to the diversity of the deep structure in the hierarchical fuzzy system (HFS) and the correlation of each sub fuzzy system, the uncertainty of the HFS's deep structure increases. For the HFS, a large number of studies mainly use fixed structures, which cannot be selected automatically. To solve this problem, this paper proposes a novel approach for constructing the incremental HFS. During system design, the deep structure and the rule base of the HFS are encoded separately. Subsequently,… More >

  • Open Access

    ARTICLE

    Vibration Characteristics Analysis and Structure Optimization of Catenary Portal Structure on Four-Wire Bridge

    Sihua Wang1,2, Xujie Li1,2,*

    Structural Durability & Health Monitoring, Vol.16, No.4, pp. 361-382, 2022, DOI:10.32604/sdhm.2022.023851

    Abstract The portal structure is the support equipment in the catenary, which bears the load of contact suspension and support equipment. In practical work, with the change of external forces, the support equipment bears complex and changeable loads, so it has higher requirements for its reliability and safety. In order to study the dynamic characteristics of catenary portal structure on continuous beam of four-way bridge, taking the catenary portal structure on Dshaping four-way bridge as the research object, the portal structure simulation model of bridge-network integration was established in Midas Civil. The maximum point of deformation and stress was determined by… More >

  • Open Access

    ARTICLE

    3D Vehicle Detection Algorithm Based on Multimodal Decision-Level Fusion

    Peicheng Shi1,*, Heng Qi1, Zhiqiang Liu1, Aixi Yang2

    CMES-Computer Modeling in Engineering & Sciences, Vol.135, No.3, pp. 2007-2023, 2023, DOI:10.32604/cmes.2023.022304

    Abstract 3D vehicle detection based on LiDAR-camera fusion is becoming an emerging research topic in autonomous driving. The algorithm based on the Camera-LiDAR object candidate fusion method (CLOCs) is currently considered to be a more effective decision-level fusion algorithm, but it does not fully utilize the extracted features of 3D and 2D. Therefore, we proposed a 3D vehicle detection algorithm based on multimodal decision-level fusion. First, project the anchor point of the 3D detection bounding box into the 2D image, calculate the distance between 2D and 3D anchor points, and use this distance as a new fusion feature to enhance the… More > Graphic Abstract

    3D Vehicle Detection Algorithm Based on Multimodal Decision-Level Fusion

  • Open Access

    ARTICLE

    Fluid Analysis and Structure Optimization of Impeller Based on Surrogate Model

    Huanwei Xu*, Wenzhang Wei, Hanjin He, Xuerui Yang

    CMES-Computer Modeling in Engineering & Sciences, Vol.132, No.1, pp. 173-199, 2022, DOI:10.32604/cmes.2022.019424

    Abstract The surrogate model technology has a good performance in solving black-box optimization problems, which is widely used in multi-domain engineering optimization problems. The adaptive surrogate model is the mainstream research direction of surrogate model technology, which can realize model fitting and global optimization of engineering problems by infilling criteria. Based on the idea of the adaptive surrogate model, this paper proposes an efficient global optimization algorithm based on the local remodeling method (EGO-LR), which aims at improving the accuracy and optimization efficiency of the model. The proposed algorithm firstly constructs the expectation improvement (EI) function in the local area and… More >

  • Open Access

    ARTICLE

    Study of Temperature Field and Structure Optimization for Runways in Permafrost Regions

    Xiaolan Liu1,*, Yixiang Chen2, Yan Zhou1, Kai Zhang3

    CMES-Computer Modeling in Engineering & Sciences, Vol.130, No.2, pp. 1093-1112, 2022, DOI:10.32604/cmes.2022.018072

    Abstract Pavement construction in permafrost regions is complicated by the fact that the permafrost properties are influenced by the temperature and are extremely unstable. The numerical model for runway structures in permafrost regions is applied to analyze the time–space characteristics of the temperature field and the depth of the frozen layer. The influence of the installation layer is studied to enable structural optimization of the runway. Numerical results show that the temperature stabilization depth, low- and high-temperature interlayer response ranges, and maximum depth of the frozen layer are greater in runway engineering than in highway and railway engineering. The time history… More >

  • Open Access

    ARTICLE

    Initiation Mechanism of Transverse Cracks in Wind Turbine Blade Trailing Edge

    Jinghua Wang1, Leian Zhang1, Xuemei Huang1,*, Jinfeng Zhang2, Chengwei Yuan1

    Energy Engineering, Vol.119, No.1, pp. 407-418, 2022, DOI:10.32604/EE.2022.016439

    Abstract Transverse crack often occurs in the trailing edge region of the blade when subjected to the excessive edgewise fatigue load. In this paper a refined model was established through local mesh refinement methods in order to investigate the initiation mechanism of crack and its extension in blade trailing edge. The material stress around the crack in trailing edge region under different thicknesses is calculated based on the fracture mechanics theory. The factors affecting the fatigue robustness of blade trailing edge are concluded by investigating the results of finite element analysis and coupons test. Compared with the laminate, the lower fatigue… More >

  • Open Access

    ARTICLE

    Design, Optimization and CFD Simulation of a Nozzle for Industrial Cleaning Processes based on High-Pressure Water Jets

    Shuce Zhang1, Xueheng Tao1,2,3, Jinshi Lu1,2, Xuejun Wang1,2, ZhenhuaZeng4

    FDMP-Fluid Dynamics & Materials Processing, Vol.11, No.2, pp. 143-155, 2015, DOI:10.3970/fdmp.2015.011.143

    Abstract Three different kinds of nozzles, normally used in industrial processes for the cleaning of material surface by means of water jets at high pressure (a Cylindrical Contracting, a Taper Contracting and Stepped nozzle), are numerically simulated with the express intent to optimize the related efficiency (cleaning effectiveness). Although some of them are found to display interesting properties, simulation results indicate that a helix nozzle displays the best jetting performances. It is shown that, as compared to improvements obtained by simply changing the jetting angle, revolving the fluid released from the helix nozzle can be used to create a grinding wheel… More >

  • Open Access

    ARTICLE

    Microstructure Optimization in Fuel Cell Electrodes using Materials Design

    Dongsheng Li1,2, Ghazal Saheli1, Moe Khaleel2, Hamid Garmestani1

    CMC-Computers, Materials & Continua, Vol.4, No.1, pp. 31-42, 2006, DOI:10.3970/cmc.2006.004.031

    Abstract A multiscale model based on statistical continuum mechanics is proposed to predict the mechanical and electrical properties of heterogeneous porous media. This model is applied within the framework of microstructure sensitive design (MSD) to guide the design of the microstructure in porous lanthanum strontium manganite (LSM) fuel cell electrode. To satisfy the property requirement and compatibility, porosity and its distribution can be adjusted under the guidance of MSD to achieve optimized microstructure. More >

  • Open Access

    ARTICLE

    Optimal Building Frame Column Design Based on the Genetic Algorithm

    Tao Shen1,*, Yukari Nagai1, Chan Gao2

    CMC-Computers, Materials & Continua, Vol.58, No.3, pp. 641-651, 2019, DOI:10.32604/cmc.2019.04885

    Abstract Building structure is like the skeleton of the building, it bears the effects of various forces and forms a supporting system, which is the material basis on which the building depends. Hence building structure design is a vital part in architecture design, architects often explore novel applications of their technologies for building structure innovation. However, such searches relied on experiences, expertise or gut feeling. In this paper, a new design method for the optimal building frame column design based on the genetic algorithm is proposed. First of all, in order to construct the optimal model of the building frame column,… More >

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