The recent development of channel technology has promised to reduce the transaction verification time in blockchain *** transactions are transmitted through the channels created by nodes,the nodes need to cooperate wi...
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The recent development of channel technology has promised to reduce the transaction verification time in blockchain *** transactions are transmitted through the channels created by nodes,the nodes need to cooperate with each *** one party refuses to do so,the channel is unstable.A stable channel is thus *** nodes may show uncooperative behavior,they may have a negative impact on the stability of such *** order to address this issue,this work proposes a dynamic evolutionary game model based on node *** model considers various defense strategies'cost and attack success ratio under *** can dynamically adjust their strategies according to the behavior of attackers to achieve their effective *** equilibrium stability of the proposed model can be *** proposed model can be applied to general channel *** is compared with two state-of-the-art blockchain channels:Lightning network and Spirit *** experimental results show that the proposed model can be used to improve a channel's stability and keep it in a good cooperative stable *** its use enables a blockchain to enjoy higher transaction success ratio and lower transaction transmission delay than the use of its two peers.
We demonstrated a universal exceptional-point (EP)-enhanced sensing platform. Conventional sensors are connected to an EP control unit through a waveguide. The nonlinear response at EPs to phase perturbations of a sen...
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This article explores the observer-based feedback control problem for a nonlinear hyperbolic partial differential equations (PDEs) system. Initially, the polynomial fuzzy hyperbolic PDEs (PFHPDEs) model is established...
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Accurate regional wind power prediction plays an important role in the security and reliability of power *** the performance improvement of very short-term prediction intervals(PIs),a novel probabilistic prediction me...
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Accurate regional wind power prediction plays an important role in the security and reliability of power *** the performance improvement of very short-term prediction intervals(PIs),a novel probabilistic prediction method based on composite conditional nonlinear quantile regression(CCNQR)is ***,the hierarchical clustering method based on weighted multivariate time series motifs(WMTSM)is studied to consider the static difference,dynamic difference,and meteorological difference of wind power time ***,the correlations are used as sample weights for the conditional linear programming(CLP)of *** optimize the performance of PIs,a composite evaluation including the accuracy of PI coverage probability(PICP),the average width(AW),and the offsets of points outside PIs(OPOPI)is used to quantify the appropriate upper and lower ***,the adaptive boundary quantiles(ABQs)are quantified for the optimal performance of ***,based on the real wind farm data,the superiority of the proposed method is verified by adequate comparisons with the conventional methods.
A lightning current measurement system for wind turbines was developed and tested in the High Voltage Laboratory at the Faculty of electricalengineering and Computing, University of Zagreb, to determine actual distri...
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DC bushing is one of the technical challenges that restrict the development of DC power transmission and transformation technology. With the electrification of society towards higher power density, bushings are expose...
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The study considers an algorithm for determining a synchronous generator rotor mechanical speed rotation according to the data of ph as or measurement unit. The mechanical speed of the rotor is a key indicator in the ...
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This working-in-progress paper aims to present a three-dimensional reconstruction using aerial images in different environments. The experiments were conducted with aircraft in both external and internal settings, sta...
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The operation of On Load Tap Changing Transformer (OLTC) in a normal state can maintain the desired voltage but can also increase the risk of a voltage collapse under certain operating conditions like network continge...
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There are three main mechanisms in the transduction process of ferromagnetic material electromagnetic acoustic transducers (EMAT), Lorentz force, magnetization force, and magnetostriction, among which the modeling of ...
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