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1,069 Result(s)
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Article
Offset boosting-based attractor doubling of Rulkov neuron
The polarity adjustment of the neuronal signals plays an important role in neuron dynamics. In this work, attractor doubling is obtained through offset boosting to regulate the distance between two coexisting ...
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Article
Intelligent Extraction of Surface Cracks on LNG Outer Tanks Based on Close-Range Image Point Clouds and Infrared Imagery
Most of the studies on oil tanks have focused on the analysis of deformation and settlement, and more research needs to be done on crack extraction from external LNG tanks.
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Article
The Effects of Different Inoculation Amount of Lactobacillus Plantarum on Antioxidant Capacity, Chemical Composition and Sensory Quality of Rosa Roxburghii Tratt Fruit Pomace Ensiled
In order to enable high-value disposal and proper preservation of Rosa roxburghii Tratt fruit pomace for waste valorization, ensiling was carried out to preserve Rosa roxburghii Tratt fruit pomace (RRTP) for 60 d...
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Article
A new MCDM integrating fuzzy rough set and TOPSIS method
In this paper, by integrating the advantages of multi-granulation fuzzy rough set (MGFRS) and variable precision fuzzy rough set (VPFRS), we introduce a new model of multi-granulation granular variable precisi...
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Article
Power-Line Extraction and Modelling from 3D Point Clouds Data Based on K-D Tree DBSCAN Algorithm
In order to achieve rapid extraction and modeling of power lines in substations, this paper proposes a method of power line extraction and modeling based on three-dimensional (3D) laser scanning point cloud da...
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Article
Smart grid security based on blockchain and smart contract
With the advent of the Fourth Industrial Revolution, the use of the smart grid is becoming more and more widespread. However, a large number of distributed smart grid devices currently have insecure authentica...
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Article
The Effect of K and P Do** on the Structure and Electronic Structure of SrFe2As2
K- and P-doped SrFe2As2 belong to hole do** and isovalent do**, respectively, and their effects on the band, Fermi surface, and partial density of states of Fe 3d and As 4p orbitals are also significantly dif...
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Article
Modifying Lyapunov exponent of chaotic map by self-cascading
The self-cascade (SC) method is an effective technique for chaos enhancement and complexity increasing in chaos maps. Additionally, the controllable self-cascade (CSC) method allows for more accurate control o...
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Article
A study of novel real-time power balance strategy with virtual asynchronous machine control for regional integrated electric-thermal energy systems
The development of regional integrated electric-thermal energy systems (RIETES) is considered a promising direction for modern energy supply systems. These systems provide a significant potential to enhance th...
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Article
Hybrid neuro-fuzzy models for assessing the optimum moisture content of lime cement-treated soil
This study explores the application of machine learning (ML) techniques to predict the optimum moisture content (OMC) of soil-stabilizer combinations. OMC represents the moisture level where soil achieves peak...
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Article
A novel RBF neural network–based sliding mode controller for a master–slave motor coordinated drive system
Master–slave coordinated systems are used in various domains, but their control remains challenging. In our study, a master–slave motor coordinated drive mechanism is engineered to enhance the functionality of...
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Article
Microstructure and mechanical properties of transient liquid phase bonding Ti3SiC2 ceramic to SUS430 steel using an Al interlayer
Ti3SiC2 ceramic and SUS430 ferritic stainless steel were welded by the transient liquid phase (TLP) diffusion bonding method using an Al interlayer at 850–1050 °C in vacuum. The evolution of phase and morphology ...
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Article
Numerical simulation and experimental investigation of manufacturing route of directional casting super slab
We proposed a new technique route of directional solidification for the manufacture of super slab. A 7-t laboratory-scale thick slab was casted and characterised for trial. To further understand the process, t...
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Article
Identification of working conditions and prediction of FeO content in sintering process of iron ore fines
The iron oxide (FeO) content had a significant impact on both the metallurgical properties of sintered ores and the economic indicators of the sintering process. Precisely predicting FeO content possessed subs...
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Article
Study on Microstructural Evolution and GP Zone Strengthening Mechanism by Solution and Aging Treatment in Non-dendritic Mg-6Zn-5Al Magnesium Alloy
The Guinier–Preston (GP) zones have an important influence on the improvement of the age-hardening level of alloy. We here prepare six kinds of Mg-6Zn-5Al (ZA65) magnesium alloy samples to investigate the micr...
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Article
Parameter Identification of Surrounding Rock in Underground Engineering Based on Complex Function Theory
To investigate the potential use of the complex function theory in displacement back analysis, a novel method for parameter identification is proposed by combining the complex function theory and the back-prop...
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Article
Scaling laws governing the elastic properties of 3D graphenes
In this study, we comprehensively investigated the scaling law for elastic properties of three-dimensional honeycomb-like graphenes (3D graphenes) using hybrid neural network potential-based molecular dynamics...
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Article
Interaction mechanism between BaZrO3/Y2O3 refractory and Ti2Ni alloy melts
The titanium alloys with highly chemical activity require stable crucible refractories that can withstand the erosion of alloy melts. The phase composition and microstructure are crucial factors that affect th...
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Article
A contact method for B-spline material point method with application in impact and penetration problems
A novel contact algorithm for the B-spline material point method (referred to as cBSMPM) is proposed to address impact and penetration problems. The proposed contact algorithm is based on the Lagrangian multip...
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Article
Universal and efficient hybrid modeling and direct slicing method for additive manufacturing processes
Model design and slicing contour generation in additive manufacturing (AM) data processing face challenges in terms of efficiency and scalability when stereolithography files generated by complex functionally ...