Accurate and efficient online parameter identification and state estimation are crucial to leveraging Digital Twin simulations for optimizing the operation of near-carbon-free nuclear energy systems. In previous works...
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The measurement of holistic gear deviations (HGD) is a fast-developing field of gear measurement technology in recent years. Line laser measurement is an effective approach to measure the HGD, and is beginning to be a...
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Solid-state propulsion is a near-silent plasma thruster that can be mounted on drones. It generates thrust by inducing corona discharge between asymmetric electrodes, which ionizes the surrounding air and accelerates ...
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Smart structures have the advantages of high system integrity and diverse sensing ***,the labor-intensive and timeconsuming fabrication process hinders the large-scale adoption of smart *** recent attempts to develop ...
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Smart structures have the advantages of high system integrity and diverse sensing ***,the labor-intensive and timeconsuming fabrication process hinders the large-scale adoption of smart *** recent attempts to develop sensorembedded structures using 3D printing technologies,the reported smart structures generally suffer from the complex fabrication process,constrained part size,and limited sensing ***,we propose a workflow to design and fabricate novel smart structures via multi-material fused deposition modeling(FDM)-based 3D *** specifically,conductive filaments with tailorable mechanical and elec-trical properties,*** effects,were ***,the printing process was optimized for processing soft filaments with Young’s modulus around 2 MPa,resolving the issue of filament ***,the potential applications of the proposed workflow were showcased using three design cases,*** strain sensor,smart tire,and cable-driven soft finger with multiple sensing *** workflow provides a cost-effective and rapid solution for developing novel smart structures with soft materials.
To improve the heat transfer efficiency of the reactor fuel assembly, it is necessary to accurately calculate the two-phase flow boiling characteristics and the critical heat flux (CHF) in the fuel assembly. In this p...
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The rapid rise of the Internet of things(IoT)have brought the progress of electronic skin(e-skin).E-skin is used to imitate or even surpass the functions of human *** is one of the crucial functions of human skin,it i...
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The rapid rise of the Internet of things(IoT)have brought the progress of electronic skin(e-skin).E-skin is used to imitate or even surpass the functions of human *** is one of the crucial functions of human skin,it is significant to develop a universal way to realize e-skin ***,inspired by the sweat gland structure in human skin,we report a simple method for achieving dynamic thermoregulating,attributing to the temperature of microencapsulated paraffin remains unchanged when phase change *** with the principle of triboelectric nanogenerator,a deep learning model is employed to recognize the output signals of handwriting different letters on ME-skin,and the recognition accuracy reaches 98.13%.Finally,realtime recognition and display of handwritings are successfully implemented by the ME-skin,which provides a general solution for thermoregulating e-skin and application direction for e-skin in the field of IoT.
A 3D digital model of a small Unmanned Aerial Vehicle(UAV)is obtained by using the method of scanning reverse modeling and joint mapping.A numerical simulation of a small UAV strikes on rotary engine blades,presented ...
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A 3D digital model of a small Unmanned Aerial Vehicle(UAV)is obtained by using the method of scanning reverse modeling and joint mapping.A numerical simulation of a small UAV strikes on rotary engine blades,presented in this paper,was performed with a Transient Nonlinear Finite Element code PAM-CRASH software.A test of motor strike on plate was developed and the dynamic response of the plate were obtained to validate the numerical simulation method of a UAV strike on *** on this,dynamic damage response caused by UAV on the engine blades were *** is indicated that the impact process between the UAV and a single blade can be divided into two typical stages:cutting and *** mainly leads to the failure of the leading edge material,and impact mainly leads to the plastic deformation of the *** the same time,it is compared with the damage impacted by bird with the same *** the same mass of bird and UAV,the damage caused by UAV striking fan blade is more serious,and 1.345 kg UAV striking fan blade of typical civil aviation engine is enough to cause damage to flight safety.
The frequency synchronisation problem of wide-area control from the higher level of networked power systems is considered. We investigate the asymptotic convergence and robustness of the passivity-based distributed av...
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Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, pa...
ISBN:
(纸本)9798331314385
Matrix multiplication (MM) is pivotal in fields from deep learning to scientific computing, driving the quest for improved computational efficiency. Accelerating MM encompasses strategies like complexity reduction, parallel and distributed computing, hardware acceleration, and approximate computing techniques, namely AMM algorithms. Amidst growing concerns over the resource demands of large language models (LLMs), AMM has garnered renewed focus. However, understanding the nuances that govern AMM's effectiveness remains incomplete. This study delves into AMM by examining algorithmic strategies, operational specifics, dataset characteristics, and their application in real-world tasks. Through comprehensive testing across diverse datasets and scenarios, we analyze how these factors affect AMM's performance, uncovering that the selection of AMM approaches significantly influences the balance between efficiency and accuracy, with factors like memory access playing a pivotal role. Additionally, dataset attributes are shown to be vital for the success of AMM in applications. Our results advocate for tailored algorithmic approaches and careful strategy selection to enhance AMM's effectiveness. To aid in the practical application and ongoing research of AMM, we introduce LibAMM —a toolkit offering a wide range of AMM algorithms, benchmarks, and tools for experiment management. LibAMM aims to facilitate research and application in AMM, guiding future developments towards more adaptive and context-aware computational solutions.
Sampling strategy (e.g., fixed farthest point sampling) of point cloud has been an essential step for developing practical solutions in 3D computer vision tasks. Previous fixed sampling is simple, but suffer from subo...
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