Natural spatiotemporal processes can be highly non-stationary in many ways, e.g. the low-level non-stationarity such as spatial correlations or temporal dependencies of local pixel values; and high-level variations accumulation, deformation dissipation radar echoes precipitation forecasting. From Cramer's Decomposition, any process decomposed into deterministic, time-variant polynomials, plus a zero-mean stochastic term. By applying differencing operations appropriately, we may turn...

Abstract We propose an infinite-dimensional adjoint-based inexact Gauss-Newton method for the solution of inverse problems governed by Stokes models ice sheet flow with nonlinear rheology and sliding law. The is applied to infer basal coefficient rheological exponent parameter fields from surface velocities. problem formulated as a least-squares optimization whose cost functional misfit between velocity observations model predictions. A Tikhonov regularization term added render well-posed...

White-box cryptography plays a vital role in untrusted environments where attackers can fully access the execution process and potentially expose cryptographic keys. It secures keys by embedding them within complex obfuscated transformations, such as lookup tables algebraic manipulations. However, existing white-box protection schemes for SM2 signatures face vulnerabilities, notably random number leakage, which compromises key security diminishes overall effectiveness. This paper proposes an...

In the field of electrified railways, a unified energy storage and transformation control system is proposed based on railway static power conditioner supercapacitor system. order to enhance regenerative braking utilization, while improving quality. Firstly, parameters design are given. Then, working area divided into different parts under conditions. Meanwhile allocation strategies among two arms in each presented details. Furthermore coordination which includes instruction current or...

Abstract. We address the inverse problem of inferring basal geothermal heat flux from surface velocity observations using a steady-state thermomechanically coupled nonlinear Stokes ice flow model. This is challenging since map to observables indirect: boundary condition for thermal advection–diffusion equation, which couples equations; together they determine velocity. multiphysics formulated as least-squares optimization with cost functional that includes data misfit between and model...

Bearing faults are the most frequent of induction motors. The current spectrum analysis is an easy and popular method for monitoring detection bearing faults. After a presentation existing fault models, this paper illustrates analytical approach to evaluate effects slot harmonics on stator in motor with fault. Simple clear theoretical results some new characteristic frequencies. Experimental tests artificial outer raceway carried out by measuring signals. experimental spectral agree well inference.

This paper addresses the image-based visual servoing (IBVS) control problem with an uncalibrated camera, unknown dynamics, and constraints. A novel data-driven IBVS (UIBVS) strategy is proposed, incorporated Koopman-based model predictive (KMPC) algorithm adaptive robust Kalman filter (ARKF). First, to alleviate need for calibration of camera’s intrinsic extrinsic parameters, ARKF factor utilized estimate image Jacobian matrix online, thereby eliminating laborious camera procedures improving...

Natural spatiotemporal processes can be highly non-stationary in many ways, e.g. the low-level non-stationarity such as spatial correlations or temporal dependencies of local pixel values; and high-level variations accumulation, deformation dissipation radar echoes precipitation forecasting. From Cramer's Decomposition, any process decomposed into deterministic, time-variant polynomials, plus a zero-mean stochastic term. By applying differencing operations appropriately, we may turn...

This article proposes a penetration testing payload generation tool based on the Qt graphical interface and msfvenom. The aim is to provide user-friendly that enables professionals efficiently generate customized payloads. By integrating msfvenom script, users can customize different types parameter settings through visual interface. While improving efficiency of generation, emphasizes enhancing user experience adapt meet evolving needs testing.

In recent years, concerns have been raising about issues such as poor soft reduction effect and severe center segregation caused by uneven solidification during slab continuous casting. view of this, a transient heat transfer-solidification model has employed to reveal the effects both water flux distribution uniformity casting speed on morphology together with experimental observation. The industrial trials demonstrate near 1/8 width position castings. Nevertheless, macrosegregation ratio...

This paper studies the learning-based model predictive control problem for nonlinear systems with uncertainties and constraints. First, a prediction is constructed offline. The composed of nominal derived using first principle known parameters, learning via LSTM network to account unknown disturbances. Then input increments are optimized an online controller Simulation results trajectory tracking robotic arm presented verify robustness feasibility proposed approach.

In this paper, the fault diagnosis problem for induction motor is studied on basis of multiple-model estimation approach. Considering time-varying parameters with changes operation, a multiple model proposed rotor broken bar fault. The corresponding Kalman filters are used to estimate state under random noise each model. Based estimations from filters, algorithm designed. Finally, feasibility and effectiveness method illustrated by simulation.

Abstract Cutting-tool wear would affect machining accuracy, efficiency and cost. The on-line monitoring for cutting-tool help monitor running state of in real time, handle accidents reduce scrap occurrence during cut down the cost caused by breakage. By way experimental research, wavelet analysis, neural network grey theory, this article established a prediction model based on theory network, developed an intelligent system with prediction, which realize real-time could predict abnormal...

In this paper, a fault isolation method based on multiple-model estimation is proposed for IGBTs (Insulated Gate Bipolar Transistor) open circuit faults in the inverters of high-speed train traction systems. Considering that an IGBT has three operating modes and there are 12 three-level inverter, introduced to describe dynamics inverters. Due redundant design characteristics inverter sensors trains, data fusion employed estimate system states. Combined with faulty multiple-model, scheme...