Additive manufacturing (AM) is the industrial production name for 3d printing, a computer-controlled process that creates three dimensional objects by deposing materials, usually in layers. The improvement of the tech...
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To control the lateral motion of autonomous vehicles, their precise lateral dynamics models are required. However, vehicles inherently exhibit nonlinear characteristics, and the model of a vehicle changes according to...
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This paper introduces an efficient startup approach for a sensorless Permanent Magnet Motor (PMM) drive. The proposed method utilizes a closed-loop strategy aimed at minimizing output power to reduce the current neede...
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The 5G network's control-plane, a critical component of modern telecommunications infrastructure, manages the signaling and control functions that enable seamless connectivity and service delivery. This paper pres...
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This study investigated the impact of SrCoO3 (SCO) addition on the dielectric properties of BaTiO3 ceramics sintered underreducing atmospheres, targeting applications in base metal electrode multilayer ceramic capaci...
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This study investigated the effects of MnNb₂O₆ addition on the dielectric properties of BaTiO₃ ceramics sintered in a reducing atmosphere. BaTiO₃ ceramics are known for their excellent dielectric properties, making th...
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Semantic segmentation of remote sensing images is a critical research area in the field of remote *** the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relationships and...
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Semantic segmentation of remote sensing images is a critical research area in the field of remote *** the success of Convolutional Neural Networks(CNNs),they often fail to capture inter-layer feature relationships and fully leverage contextual information,leading to the loss of important ***,due to significant intraclass variation and small inter-class differences in remote sensing images,CNNs may experience class *** address these issues,we propose a novel Category-Guided Feature Collaborative Learning Network(CG-FCLNet),which enables fine-grained feature extraction and adaptive ***,we design a Feature Collaborative Learning Module(FCLM)to facilitate the tight interaction of multi-scale *** also introduce a Scale-Aware Fusion Module(SAFM),which iteratively fuses features from different layers using a spatial attention mechanism,enabling deeper feature ***,we design a Category-Guided Module(CGM)to extract category-aware information that guides feature fusion,ensuring that the fused featuresmore accurately reflect the semantic information of each category,thereby improving detailed *** experimental results show that CG-FCLNet achieves a Mean Intersection over Union(mIoU)of 83.46%,an mF1 of 90.87%,and an Overall Accuracy(OA)of 91.34% on the Vaihingen *** the Potsdam dataset,it achieves a mIoU of 86.54%,an mF1 of 92.65%,and an OA of 91.29%.These results highlight the superior performance of CG-FCLNet compared to existing state-of-the-art methods.
This experimental study investigates the friction and wear of three coatings commonly used in industrial applications,particularly in hydrodynamic *** three materials under investigation were Babbitt,polyether ether k...
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This experimental study investigates the friction and wear of three coatings commonly used in industrial applications,particularly in hydrodynamic *** three materials under investigation were Babbitt,polyether ether ketone(PEEK)reinforced with 15%carbon fibers,and PEEK reinforced with 20%carbon *** first polymer material was extruded,while the other was produced by fuseddeposition modelling(FdM).The materials were subjected to sliding tests in a pin-on-disc configuration,with a steel ball serving as the counter *** tests were conducted at room temperature,with a load of 10 N and under three different lubrication conditions:dry,grease,and *** linear speed was set at 0.3 m/s for the dry and semi-solid lubrication tests,while for the oil tests,the speed was set at 0.25 m/*** greases used had consistency grades of NGLI 000 and NGLI *** ISO VG 68 circulation oil was used for the oil lubrication ***,thermodynamic analyses were performed under the most severe conditions(i.e.,dry)to investigate the steel-Babbitt and steel-PEEK contact.
To solve the problem of long response time when users obtain suitable cutting parameters through the Internet based platform,a case-basedreasoning framework is ***,a Hamming distance and Euclidean distance combined m...
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To solve the problem of long response time when users obtain suitable cutting parameters through the Internet based platform,a case-basedreasoning framework is ***,a Hamming distance and Euclidean distance combined method is designed to measure the similarity of case features which have both numeric and category *** addition,AHP(Analytic Hierarchy Process)and entropy weight method are integrated to provide features weight,where both user preferences and comprehensive impact of the index have been *** relation analysis is used to obtain the similarity of a new problem and alternative ***,a platform is also developed on Visual Studio 2015,and a case study is demonstrated to verify the practicality and efficiency of the proposed *** method can obtain cutting parameters which is suitable without iterative *** with the traditional PSO(Particle swarm optimization algorithm)and GA(Genetic algorithm),it can obtain fasterresponse *** method can provide ideas for selecting processing parameters in industrial *** guaranteeing the characteristic information is similar,this approach can select processing parameters which is the most appropriate for the production process and a lot of time can be saved.
Poly(Allyl diglycol Carbonate) (PAdC) detectors are widely used in nuclear particles detection due to their high sensitivity. Particles impinging the polymer form latent tracks which are enlarged through a chemical et...
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