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Sliding mode control of vehicle hydraulic travelling system based on exponential convergent disturbance observer
This paper takes the motor drive travelling system of vehicles as research object. Addressing the disturbance derived from complex pavement and...
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Tomographic reconstruction from Poisson distributed data: a fast and convergent EM-TV dual approach
This paper focuses on tomographic reconstruction for nuclear medicine imaging, where a classical approach consists to maximize the likelihood of...
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Spatial Adaptive Iterative Learning Control Based High-Speed Train Operation Tracking under External Disturbance
AbstractIn order to solve the trajectory tracking problem of high-speed train automatic operation systems under external random disturbance, the...
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A Relaxed Proximal Gradient Descent Algorithm for Convergent Plug-and-Play with Proximal Denoiser
This paper presents a new convergent Plug-and-Play (PnP) algorithm. PnP methods are efficient iterative algorithms for solving image inverse problems...
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Asymmetric Cryptosystem Based on Biological Mutation Operation in Chirp-Z Domain
In this paper, we have proposed an asymmetric image encryption algorithm in the Chirp-Z domain using chaotic Tinkerbell map, DNA coding with...
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A Finite-Time Convergent Neural Network for Solving Time-Varying Linear Equations with Inequality Constraints Applied to Redundant Manipulator
Zhang neural network (ZNN), a special recurrent neural network, has recently been established as an effective alternative for time-varying linear...
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Research on Virtual Simulation Teaching Platform Based on Convergent Media
Analyze and summarize the existing metadata at home and abroad. Based on DC metadata, combined with the characteristics and forms of intangible...
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Unraveling the complexities of a highly heterogeneous aquifer under convergent radial flow conditions
Untangling flow and mass transport in aquifers is essential for effective water management and protection. However, understanding the mechanisms...
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Multiple search operators selection by adaptive probability allocation for fast convergent multitask optimization
Evolutionary multitask optimization (EMTO) has developed fast recently, and many algorithms have emerged that solve several different problems...
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Effective Two-Stage Image Segmentation: A New Non-Lipschitz Decomposition Approach with Convergent Algorithm
Image segmentation is an important median level vision topic. Accurate and efficient multiphase segmentation for images with intensity inhomogeneity...
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Neural network optimal control for discrete-time nonlinear systems with known internal dynamics
A neural network (NN) optimal control for discrete-time nonlinear dynamic systems with known internal dynamics is designed. The control is described...
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Executive Function and Intelligent Goal-Directed Behavior: Perspectives from Psychology, Neurology, and Computer Science
The concept of executive function, as top-down control of processes, originated in computer science in the 1950s. However, it has since become an...
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An investigation of the influence of age on eye fatigue and hand operation performance in a virtual environment
Only a few studies in the literature have focused on the effects of age on fatigue susceptibility and hand operation performance in virtual...
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PFKMaster: A Knowledge-Driven Flow Control System for Large-Scale Power Grid
Various stability analyses of the power system are based on the results of power flow calculation, which is not always convergent. In practice, large...
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The key security management scheme of cloud storage based on blockchain and digital twins
As a secure distributed ledger technology, blockchain has attracted widespread attention from academia and industry for its decentralization,...
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What do we know about the disruption index in scientometrics? An overview of the literature
The purpose of this paper is to provide a review of the literature on the original disruption index (DI 1 ) and its variants in scientometrics. The DI 1 ...
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An encrypted deduplication scheme based on files diversity
In order to improve the efficiency of cloud storage, deduplication technology has been widely used. In personal cloud storage, files are diverse....
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Research on FaceNet Face Recognition Algorithm Based on Attention Mechanism
FaceNet face recognition algorithm is the mainstream face recognition algorithm at present, and its running speed is widely used in the industry. To...
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Accelerating Drug Discovery in AutoDock-GPU with Tensor Cores
In drug discovery, molecular docking aims at characterizing the binding of a drug-like molecule to a macromolecule. AutoDock-GPU, a state-of-the-art...
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Noncertainty-equivalent observer-based noncooperative target tracking control for unmanned aerial vehicles
Target tracking is a typical and challenging scenario that is required to be executed by unmanned aerial vehicles (UAVs) in operational environments....